The following document contains the results of Rat (Release Audit Tool).
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Summary
-------
Generated at: 2024-04-24T12:22:14Z
Notes: 5
Binaries: 995
Archives: 1
Standards: 1108
Apache Licensed: 128
Generated Documents: 0
JavaDocs are generated, thus a license header is optional.
Generated files do not require license headers.
977 Unknown Licenses
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Files with unapproved licenses:
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AL examples/shardingsphere-jdbc-example-generator/src/main/resources/META-INF/services/org.apache.shardingsphere.example.generator.scenario.feature.FeatureExampleScenario
AL examples/shardingsphere-jdbc-example-generator/src/main/resources/META-INF/services/org.apache.shardingsphere.example.generator.scenario.framework.FrameworkExampleScenario
AL examples/shardingsphere-jdbc-example-generator/src/main/resources/META-INF/services/org.apache.shardingsphere.example.generator.scenario.transaction.TransactionExampleScenario
AL examples/shardingsphere-jdbc-example-generator/src/main/java/org/apache/shardingsphere/example/generator/scenario/feature/FeatureExampleScenario.java
AL examples/shardingsphere-jdbc-example-generator/src/main/java/org/apache/shardingsphere/example/generator/scenario/feature/type/EncryptExampleScenario.java
AL examples/shardingsphere-jdbc-example-generator/src/main/java/org/apache/shardingsphere/example/generator/scenario/feature/type/ShardingExampleScenario.java
AL examples/shardingsphere-jdbc-example-generator/src/main/java/org/apache/shardingsphere/example/generator/scenario/feature/type/ReadwriteSplittingExampleScenario.java
AL examples/shardingsphere-jdbc-example-generator/src/main/java/org/apache/shardingsphere/example/generator/scenario/feature/type/ShadowExampleScenario.java
AL examples/shardingsphere-jdbc-example-generator/src/main/java/org/apache/shardingsphere/example/generator/scenario/feature/type/MaskExampleScenario.java
AL examples/shardingsphere-jdbc-example-generator/src/main/java/org/apache/shardingsphere/example/generator/scenario/ExampleScenario.java
AL examples/shardingsphere-jdbc-example-generator/src/main/java/org/apache/shardingsphere/example/generator/scenario/ExampleScenarioFactory.java
AL examples/shardingsphere-jdbc-example-generator/src/main/java/org/apache/shardingsphere/example/generator/scenario/framework/FrameworkExampleScenario.java
AL examples/shardingsphere-jdbc-example-generator/src/main/java/org/apache/shardingsphere/example/generator/scenario/framework/type/SpringNamespaceJpaExampleScenario.java
AL examples/shardingsphere-jdbc-example-generator/src/main/java/org/apache/shardingsphere/example/generator/scenario/framework/type/SpringNamespaceMyBatisExampleScenario.java
AL examples/shardingsphere-jdbc-example-generator/src/main/java/org/apache/shardingsphere/example/generator/scenario/framework/type/SpringBootStarterJdbcExampleScenario.java
AL examples/shardingsphere-jdbc-example-generator/src/main/java/org/apache/shardingsphere/example/generator/scenario/framework/type/JDBCExampleScenario.java
AL examples/shardingsphere-jdbc-example-generator/src/main/java/org/apache/shardingsphere/example/generator/scenario/framework/type/SpringNamespaceJdbcExampleScenario.java
AL examples/shardingsphere-jdbc-example-generator/src/main/java/org/apache/shardingsphere/example/generator/scenario/framework/type/SpringBootStarterMyBatisExampleScenario.java
AL examples/shardingsphere-jdbc-example-generator/src/main/java/org/apache/shardingsphere/example/generator/scenario/framework/type/SpringBootStarterJpaExampleScenario.java
AL examples/shardingsphere-jdbc-example-generator/src/main/java/org/apache/shardingsphere/example/generator/scenario/transaction/TransactionExampleScenario.java
AL examples/shardingsphere-jdbc-example-generator/src/main/java/org/apache/shardingsphere/example/generator/scenario/transaction/type/LocalExampleScenario.java
AL examples/shardingsphere-jdbc-example-generator/src/main/java/org/apache/shardingsphere/example/generator/scenario/transaction/type/XANarayanaExampleScenario.java
AL examples/shardingsphere-jdbc-example-generator/src/main/java/org/apache/shardingsphere/example/generator/scenario/transaction/type/SeataExampleScenario.java
AL examples/shardingsphere-jdbc-example-generator/src/main/java/org/apache/shardingsphere/example/generator/scenario/transaction/type/XAAtomikosExampleScenario.java
AL examples/shardingsphere-jdbc-example-generator/src/main/java/org/apache/shardingsphere/example/generator/ExampleGeneratorMain.java
AL examples/shardingsphere-jdbc-example-generator/src/main/java/org/apache/shardingsphere/example/generator/core/JDBCExampleGenerator.java
AL examples/shardingsphere-jdbc-example-generator/src/main/java/org/apache/shardingsphere/example/generator/core/GenerateUtils.java
AL examples/shardingsphere-jdbc-example-generator/src/main/java/org/apache/shardingsphere/example/generator/core/yaml/config/YamlExampleConfiguration.java
AL examples/shardingsphere-jdbc-example-generator/src/main/java/org/apache/shardingsphere/example/generator/core/yaml/config/YamlExampleConfigurationSupportedValue.java
AL examples/shardingsphere-jdbc-example-generator/src/main/java/org/apache/shardingsphere/example/generator/core/yaml/config/YamlExampleConfigurationValidator.java
AL examples/shardingsphere-parser-example/pom.xml
AL examples/shardingsphere-parser-example/src/main/java/org/apache/shardingsphere/example/parser/opengauss/statement/OpenGaussParserStatementExample.java
AL examples/shardingsphere-parser-example/src/main/java/org/apache/shardingsphere/example/parser/sql92/statement/SQL92ParserStatementExample.java
AL examples/shardingsphere-parser-example/src/main/java/org/apache/shardingsphere/example/parser/mysql/statement/MySQLParserStatementExample.java
AL examples/shardingsphere-parser-example/src/main/java/org/apache/shardingsphere/example/parser/mysql/format/MySQLParserFormatExample.java
AL examples/shardingsphere-parser-example/src/main/java/org/apache/shardingsphere/example/parser/sqlserver/statement/SQLServerParserStatementExample.java
AL examples/shardingsphere-parser-example/src/main/java/org/apache/shardingsphere/example/parser/oracle/statement/OracleParserStatementExample.java
AL examples/shardingsphere-parser-example/src/main/java/org/apache/shardingsphere/example/parser/postgresql/statement/PostgreSQLParserStatementExample.java
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AL mvnw
AL lombok.config
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AL .codecov.yml
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A .mvn/wrapper/maven-wrapper.jar
AL .mvn/wrapper/maven-wrapper.properties
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AL .gitattributes
AL src/resources/pmd.xml
AL src/resources/checkstyle.xml
N src/resources/spotless/copyright.txt
AL src/resources/spotless/java.xml
AL src/resources/spotbugs.xml
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AL src/resources/code-style-idea.xml
AL .asf.yaml
N NOTICE
AL mvnw.cmd
AL .licenserc.yaml
*****************************************************
Printing headers for text files without a valid license header...
=====================================================
== File: docs/community/static/image/theme.svg
=====================================================
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== File: docs/community/static/css/theme-mine.css
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/* background behind the logo*/
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background: black;
border-color: black;
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#header-wrapper {
background: black;
border-color: black;
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#chapter p {
text-align: left;
}
.copy-to-clipboard {
background-image: none;
display: none;
}
#body img, #body .video-container {
margin: auto;
text-align: left;
display: inherit;
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=====================================================
== File: docs/community/static/css/theme-white.css
=====================================================
body{
font-family: 'roboto,sans-serif';
letter-spacing: .33px;
font-weight: 400;
text-rendering: optimizeLegibility;
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max-width: 1440px;
margin: 0 auto;
display: flex;
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header{
background-color: #F7F7FB;
height: 80px;
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header .wrap{
justify-content: space-between;
align-items: center;
height: 80px;
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margin: auto;
text-align: left;
display: inherit;
=====================================================
== File: docs/community/static/css/theme-black.css
=====================================================
@charset "UTF-8";
#top-github-link,
#body #breadcrumbs {
position: relative;
top: 50%;
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font-family: 'Work Sans';
font-style: normal;
font-weight: 500;
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background: #fff;
color: #777;
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=====================================================
== File: docs/community/layouts/partials/style.html
=====================================================
<link rel="stylesheet" href="http://cdn.bootcss.com/highlight.js/9.8.0/styles/monokai-sublime.min.css">
<link rel="stylesheet" href="http://ovfotjrsi.bkt.clouddn.com/docs/css/style.css">
=====================================================
== File: docs/community/layouts/partials/logo.html
=====================================================
<a href="https://shardingsphere.apache.org/"><img src="https://shardingsphere.apache.org/document/current/img/logo_v3.png" /></a>
=====================================================
== File: docs/community/layouts/partials/favicon.html
=====================================================
<link rel="shortcut icon" href="https://shardingsphere.apache.org/document/current/img/favicon.png" type="image/x-icon" />
=====================================================
== File: docs/community/layouts/partials/menu-footer.html
=====================================================
<p></p>
=====================================================
== File: docs/community/layouts/partials/javascript.html
=====================================================
<script src="http://cdn.bootcss.com/highlight.js/9.8.0/highlight.min.js"></script>
<script>hljs.initHighlightingOnLoad();</script>
=====================================================
== File: docs/community/layouts/index.html
=====================================================
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta http-equiv="refresh" content="0; url=https://shardingsphere.apache.org/community/en/involved">
<title>Index</title>
</head>
<body>
</body>
</html>
=====================================================
== File: docs/community/layouts/shortcodes/bilibili.html
=====================================================
<!DOCTYPE HTML>
<html>
<head>
<style type="text/css">
.aspect-ratio {
position: relative;
width: 100%;
height: 0;
padding-bottom: 75%;
}
.aspect-ratio iframe {
position: absolute;
width: 100%;
height: 100%;
left: 0;
top: 0;
}
</style>
</head>
<body>
<div class="aspect-ratio">
<iframe
src="https://player.bilibili.com/player.html?bvid={{.Get 0 }}&page={{ if .Get 1 }}{{.Get 1}}{{ else }}1&high_quality=1&danmaku=0{{end}}"
scrolling="no"
border="0"
frameborder="no"
framespacing="0"
allowfullscreen="true"
sandbox="allow-top-navigation allow-same-origin allow-forms allow-scripts"
>
</iframe>
</div>
</body>
</html>
<!-- arguements &high_quality=1&danmaku=0 in src control the quality of video and bullet-screen comments-->
<!-- sandbox option avoid jumpping to bilibili.com -->
=====================================================
== File: docs/community/themes/hugo-theme-learn/README.md
=====================================================
# Hugo Learn Theme
This repository contains a theme for [Hugo](https://gohugo.io/), based on great [Grav Learn Theme](http://learn.getgrav.org/).
Visit the [theme documentation](https://learn.netlify.com/en/) to see what is going on. It is actually built with this theme.
## Main features
- Automatic Search
- Multilingual mode
- Unlimited menu levels
- Automatic next/prev buttons to navigate through menu entries
- Image resizing, shadow…
- Attachments files
- List child pages
- Mermaid diagram (flowchart, sequence, gantt)
- Customizable look and feel and themes variants
- Buttons, Tip/Note/Info/Warning boxes, Expand
## Installation
Navigate to your themes folder in your Hugo site and use the following commands:
```
$ cd themes
$ git clone https://github.com/matcornic/hugo-theme-learn.git
```
Check that your Hugo version is minimum `0.25` with `hugo version`.
## Usage
- [Visit the documentation](https://learn.netlify.com/en/)
## Download old versions (prior to 2.0.0)
If you need old version for compatibility purpose, either download [theme source code from releases](https://github.com/matcornic/hugo-theme-learn/releases) or use the right git tag. For example, with `1.1.0`
- Direct download way: https://github.com/matcornic/hugo-theme-learn/archive/1.1.0.zip
- Git way:
```shell
cd themes/hugo-theme-learn
git checkout tags/1.1.0
```
For both solutions, the documentation is available at https://github.com/matcornic/hugo-theme-learn/releases/download/1.1.0/hugo-learn-doc-1.1.0.zip
=====================================================
== File: docs/community/themes/hugo-theme-learn/static/js/highlight.pack.js
=====================================================
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=====================================================
== File: docs/community/themes/hugo-theme-learn/static/js/hugo-learn.js
=====================================================
// Get Parameters from some url
var getUrlParameter = function getUrlParameter(sPageURL) {
var url = sPageURL.split('?');
var obj = {};
if (url.length == 2) {
var sURLVariables = url[1].split('&'),
sParameterName,
i;
for (i = 0; i < sURLVariables.length; i++) {
sParameterName = sURLVariables[i].split('=');
obj[sParameterName[0]] = sParameterName[1];
}
return obj;
} else {
return undefined;
}
};
// Execute actions on images generated from Markdown pages
var images = $("div#body-inner img").not(".inline");
// Wrap image inside a featherlight (to get a full size view in a popup)
images.wrap(function(){
var image =$(this);
if (!image.parent("a").length) {
return "<a href='" + image[0].src + "' data-featherlight='image'></a>";
}
});
// Change styles, depending on parameters set to the image
images.each(function(index){
var image = $(this)
var o = getUrlParameter(image[0].src);
if (typeof o !== "undefined") {
var h = o["height"];
var w = o["width"];
var c = o["classes"];
image.css("width", function() {
if (typeof w !== "undefined") {
return w;
} else {
return "auto";
}
});
image.css("height", function() {
if (typeof h !== "undefined") {
return h;
} else {
return "auto";
}
});
=====================================================
== File: docs/community/themes/hugo-theme-learn/static/js/learn.js
=====================================================
// Scrollbar Width function
function getScrollBarWidth() {
var inner = document.createElement('p');
inner.style.width = "100%";
inner.style.height = "200px";
var outer = document.createElement('div');
outer.style.position = "absolute";
outer.style.top = "0px";
outer.style.left = "0px";
outer.style.visibility = "hidden";
outer.style.width = "200px";
outer.style.height = "150px";
outer.style.overflow = "hidden";
outer.appendChild(inner);
document.body.appendChild(outer);
var w1 = inner.offsetWidth;
outer.style.overflow = 'scroll';
var w2 = inner.offsetWidth;
if (w1 == w2) w2 = outer.clientWidth;
document.body.removeChild(outer);
return (w1 - w2);
};
function setMenuHeight() {
$('#sidebar .leftMenu').height($(window).innerHeight() - $('#header-wrapper').height() - 240);
$('#sidebar .leftMenu').perfectScrollbar('update');
}
function fallbackMessage(action) {
var actionMsg = '';
var actionKey = (action === 'cut' ? 'X' : 'C');
if (/iPhone|iPad/i.test(navigator.userAgent)) {
actionMsg = 'No support :(';
}
else if (/Mac/i.test(navigator.userAgent)) {
actionMsg = 'Press ⌘-' + actionKey + ' to ' + action;
}
else {
actionMsg = 'Press Ctrl-' + actionKey + ' to ' + action;
}
return actionMsg;
}
// for the window resize
=====================================================
== File: docs/community/themes/hugo-theme-learn/static/js/search.js
=====================================================
var lunrIndex, pagesIndex;
function endsWith(str, suffix) {
return str.indexOf(suffix, str.length - suffix.length) !== -1;
}
// Initialize lunrjs using our generated index file
function initLunr() {
if (!endsWith(baseurl,"/")){
baseurl = baseurl+'/'
};
// First retrieve the index file
$.getJSON(baseurl +"index.json")
.done(function(index) {
pagesIndex = index;
// Set up lunrjs by declaring the fields we use
// Also provide their boost level for the ranking
lunrIndex = new lunr.Index
lunrIndex.ref("uri");
lunrIndex.field('title', {
boost: 15
});
lunrIndex.field('tags', {
boost: 10
});
lunrIndex.field("content", {
boost: 5
});
// Feed lunr with each file and let lunr actually index them
pagesIndex.forEach(function(page) {
lunrIndex.add(page);
});
lunrIndex.pipeline.remove(lunrIndex.stemmer)
})
.fail(function(jqxhr, textStatus, error) {
var err = textStatus + ", " + error;
console.error("Error getting Hugo index flie:", err);
});
}
/**
* Trigger a search in lunr and transform the result
*
* @param {String} query
* @return {Array} results
*/
function search(query) {
// Find the item in our index corresponding to the lunr one to have more info
=====================================================
== File: docs/community/themes/hugo-theme-learn/static/js/jquery-2.x.min.js
=====================================================
/*! jQuery v2.2.3 | (c) jQuery Foundation | jquery.org/license */
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== File: docs/community/themes/hugo-theme-learn/static/js/html5shiv-printshiv.min.js
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=====================================================
== File: docs/community/themes/hugo-theme-learn/static/js/lunr.min.js
=====================================================
/**
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t.replace(/^\W+/,"").replace(/\W+$/,"")},t.Pipeline.registerFunction(t.trimmer,"trimmer"),t.TokenStore=function(){this.root={docs:{}},this.length=0},t.TokenStore.load=function(t){var e=new this;return e.root=t.root,e.length=t.length,e},t.TokenStore.prototype.add=function(t,e,n){var n=n||this.root,i=t.charAt(0),r=t.slice(1);return i in n||(n[i]={docs:{}}),0===r.length?(n[i].docs[e.ref]=e,void(this.length+=1)):this.add(r,e,n[i])},t.TokenStore.prototype.has=function(t){if(!t)return!1;for(var e=this.root,n=0;n<t.length;n++){if(!e[t.charAt(n)])return!1;e=e[t.charAt(n)]}return!0},t.TokenStore.prototype.getNode=function(t){if(!t)return{};for(var e=this.root,n=0;n<t.length;n++){if(!e[t.charAt(n)])return{};e=e[t.charAt(n)]}return e},t.TokenStore.prototype.get=function(t,e){return this.getNode(t,e).docs||{}},t.TokenStore.prototype.count=function(t,e){return Object.keys(this.get(t,e)).length},t.TokenStore.prototype.remove=function(t,e){if(t){for(var n=this.root,i=0;i<t.length;i++){if(!(t.charAt(i)in n))return;n=n[t.charAt(i)]}delete n.docs[e]}},t.TokenStore.prototype.expand=function(t,e){var n=this.getNode(t),i=n.docs||{},e=e||[];return Object.keys(i).length&&e.push(t),Object.keys(n).forEach(function(n){"docs"!==n&&e.concat(this.expand(t+n,e))},this),e},t.TokenStore.prototype.toJSON=function(){return{root:this.root,length:this.length}},function(t,e){"function"==typeof define&&define.amd?define(e):"object"==typeof exports?module.exports=e():t.lunr=e()}(this,function(){return t})}();
=====================================================
== File: docs/community/themes/hugo-theme-learn/static/js/auto-complete.js
=====================================================
/*
JavaScript autoComplete v1.0.4
Copyright (c) 2014 Simon Steinberger / Pixabay
GitHub: https://github.com/Pixabay/JavaScript-autoComplete
License: http://www.opensource.org/licenses/mit-license.php
*/
var autoComplete = (function(){
// "use strict";
function autoComplete(options){
if (!document.querySelector) return;
// helpers
function hasClass(el, className){ return el.classList ? el.classList.contains(className) : new RegExp('\\b'+ className+'\\b').test(el.className); }
function addEvent(el, type, handler){
if (el.attachEvent) el.attachEvent('on'+type, handler); else el.addEventListener(type, handler);
}
function removeEvent(el, type, handler){
// if (el.removeEventListener) not working in IE11
if (el.detachEvent) el.detachEvent('on'+type, handler); else el.removeEventListener(type, handler);
}
function live(elClass, event, cb, context){
addEvent(context || document, event, function(e){
var found, el = e.target || e.srcElement;
while (el && !(found = hasClass(el, elClass))) el = el.parentElement;
if (found) cb.call(el, e);
});
}
var o = {
selector: 0,
source: 0,
minChars: 3,
delay: 150,
offsetLeft: 0,
offsetTop: 1,
cache: 1,
menuClass: '',
renderItem: function (item, search){
// escape special characters
search = search.replace(/[-\/\\^$*+?.()|[\]{}]/g, '\\$&');
var re = new RegExp("(" + search.split(' ').join('|') + ")", "gi");
return '<div class="autocomplete-suggestion" data-val="' + item + '">' + item.replace(re, "<b>$1</b>") + '</div>';
},
onSelect: function(e, term, item){}
};
for (var k in options) { if (options.hasOwnProperty(k)) o[k] = options[k]; }
// init
=====================================================
== File: docs/community/themes/hugo-theme-learn/static/js/perfect-scrollbar.jquery.min.js
=====================================================
/* perfect-scrollbar v0.6.13 */
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o=t("../instances"),l=t("../update-geometry");e.exports=function(t){var e=o.get(t);r(t,e)}},{"../instances":18,"../update-geometry":19}],15:[function(t,e,n){"use strict";function r(t,e){function n(){var t=window.getSelection?window.getSelection():document.getSelection?document.getSelection():"";return 0===t.toString().length?null:t.getRangeAt(0).commonAncestorContainer}function r(){c||(c=setInterval(function(){return l.get(t)?(s(t,"top",t.scrollTop+u.top),s(t,"left",t.scrollLeft+u.left),void i(t)):void clearInterval(c)},50))}function a(){c&&(clearInterval(c),c=null),o.stopScrolling(t)}var c=null,u={top:0,left:0},d=!1;e.event.bind(e.ownerDocument,"selectionchange",function(){t.contains(n())?d=!0:(d=!1,a())}),e.event.bind(window,"mouseup",function(){d&&(d=!1,a())}),e.event.bind(window,"keyup",function(){d&&(d=!1,a())}),e.event.bind(window,"mousemove",function(e){if(d){var 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e=l.get(t);r(t,e,o.env.supportsTouch,o.env.supportsIePointer)}}},{"../../lib/helper":6,"../instances":18,"../update-geometry":19,"../update-scroll":20}],17:[function(t,e,n){"use strict";var r=t("../lib/helper"),o=t("../lib/class"),l=t("./instances"),i=t("./update-geometry"),s={"click-rail":t("./handler/click-rail"),"drag-scrollbar":t("./handler/drag-scrollbar"),keyboard:t("./handler/keyboard"),wheel:t("./handler/mouse-wheel"),touch:t("./handler/touch"),selection:t("./handler/selection")},a=t("./handler/native-scroll");e.exports=function(t,e){e="object"==typeof e?e:{},o.add(t,"ps-container");var n=l.add(t);n.settings=r.extend(n.settings,e),o.add(t,"ps-theme-"+n.settings.theme),n.settings.handlers.forEach(function(e){s[e](t)}),a(t),i(t)}},{"../lib/class":2,"../lib/helper":6,"./handler/click-rail":10,"./handler/drag-scrollbar":11,"./handler/keyboard":12,"./handler/mouse-wheel":13,"./handler/native-scroll":14,"./handler/selection":15,"./handler/touch":16,"./instances":18,"./update-geometry":19}],18:[function(t,e,n){"use strict";function r(t){function e(){a.add(t,"ps-focus")}function n(){a.remove(t,"ps-focus")}var r=this;r.settings=s.clone(c),r.containerWidth=null,r.containerHeight=null,r.contentWidth=null,r.contentHeight=null,r.isRtl="rtl"===u.css(t,"direction"),r.isNegativeScroll=function(){var e=t.scrollLeft,n=null;return t.scrollLeft=-1,n=t.scrollLeft<0,t.scrollLeft=e,n}(),r.negativeScrollAdjustment=r.isNegativeScroll?t.scrollWidth-t.clientWidth:0,r.event=new 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o(t){return t.getAttribute("data-ps-id")}function l(t,e){t.setAttribute("data-ps-id",e)}function i(t){t.removeAttribute("data-ps-id")}var s=t("../lib/helper"),a=t("../lib/class"),c=t("./default-setting"),u=t("../lib/dom"),d=t("../lib/event-manager"),p=t("../lib/guid"),f={};n.add=function(t){var e=p();return l(t,e),f[e]=new r(t),f[e]},n.remove=function(t){delete f[o(t)],i(t)},n.get=function(t){return f[o(t)]}},{"../lib/class":2,"../lib/dom":3,"../lib/event-manager":4,"../lib/guid":5,"../lib/helper":6,"./default-setting":8}],19:[function(t,e,n){"use strict";function r(t,e){return t.settings.minScrollbarLength&&(e=Math.max(e,t.settings.minScrollbarLength)),t.settings.maxScrollbarLength&&(e=Math.min(e,t.settings.maxScrollbarLength)),e}function o(t,e){var n={width:e.railXWidth};e.isRtl?n.left=e.negativeScrollAdjustment+t.scrollLeft+e.containerWidth-e.contentWidth:n.left=t.scrollLeft,e.isScrollbarXUsingBottom?n.bottom=e.scrollbarXBottom-t.scrollTop:n.top=e.scrollbarXTop+t.scrollTop,s.css(e.scrollbarXRail,n);var r={top:t.scrollTop,height:e.railYHeight};e.isScrollbarYUsingRight?e.isRtl?r.right=e.contentWidth-(e.negativeScrollAdjustment+t.scrollLeft)-e.scrollbarYRight-e.scrollbarYOuterWidth:r.right=e.scrollbarYRight-t.scrollLeft:e.isRtl?r.left=e.negativeScrollAdjustment+t.scrollLeft+2*e.containerWidth-e.contentWidth-e.scrollbarYLeft-e.scrollbarYOuterWidth:r.left=e.scrollbarYLeft+t.scrollLeft,s.css(e.scrollbarYRail,r),s.css(e.scrollbarX,{left:e.scrollbarXLeft,width:e.scrollbarXWidth-e.railBorderXWidth}),s.css(e.scrollbarY,{top:e.scrollbarYTop,height:e.scrollbarYHeight-e.railBorderYWidth})}var l=t("../lib/helper"),i=t("../lib/class"),s=t("../lib/dom"),a=t("./instances"),c=t("./update-scroll");e.exports=function(t){var e=a.get(t);e.containerWidth=t.clientWidth,e.containerHeight=t.clientHeight,e.contentWidth=t.scrollWidth,e.contentHeight=t.scrollHeight;var n;t.contains(e.scrollbarXRail)||(n=s.queryChildren(t,".ps-scrollbar-x-rail"),n.length>0&&n.forEach(function(t){s.remove(t)}),s.appendTo(e.scrollbarXRail,t)),t.contains(e.scrollbarYRail)||(n=s.queryChildren(t,".ps-scrollbar-y-rail"),n.length>0&&n.forEach(function(t){s.remove(t)}),s.appendTo(e.scrollbarYRail,t)),!e.settings.suppressScrollX&&e.containerWidth+e.settings.scrollXMarginOffset<e.contentWidth?(e.scrollbarXActive=!0,e.railXWidth=e.containerWidth-e.railXMarginWidth,e.railXRatio=e.containerWidth/e.railXWidth,e.scrollbarXWidth=r(e,l.toInt(e.railXWidth*e.containerWidth/e.contentWidth)),e.scrollbarXLeft=l.toInt((e.negativeScrollAdjustment+t.scrollLeft)*(e.railXWidth-e.scrollbarXWidth)/(e.contentWidth-e.containerWidth))):e.scrollbarXActive=!1,!e.settings.suppressScrollY&&e.containerHeight+e.settings.scrollYMarginOffset<e.contentHeight?(e.scrollbarYActive=!0,e.railYHeight=e.containerHeight-e.railYMarginHeight,e.railYRatio=e.containerHeight/e.railYHeight,e.scrollbarYHeight=r(e,l.toInt(e.railYHeight*e.containerHeight/e.contentHeight)),e.scrollbarYTop=l.toInt(t.scrollTop*(e.railYHeight-e.scrollbarYHeight)/(e.contentHeight-e.containerHeight))):e.scrollbarYActive=!1,e.scrollbarXLeft>=e.railXWidth-e.scrollbarXWidth&&(e.scrollbarXLeft=e.railXWidth-e.scrollbarXWidth),e.scrollbarYTop>=e.railYHeight-e.scrollbarYHeight&&(e.scrollbarYTop=e.railYHeight-e.scrollbarYHeight),o(t,e),e.scrollbarXActive?i.add(t,"ps-active-x"):(i.remove(t,"ps-active-x"),e.scrollbarXWidth=0,e.scrollbarXLeft=0,c(t,"left",0)),e.scrollbarYActive?i.add(t,"ps-active-y"):(i.remove(t,"ps-active-y"),e.scrollbarYHeight=0,e.scrollbarYTop=0,c(t,"top",0))}},{"../lib/class":2,"../lib/dom":3,"../lib/helper":6,"./instances":18,"./update-scroll":20}],20:[function(t,e,n){"use 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s=l.get(t);"top"===e&&n>=s.contentHeight-s.containerHeight&&(n=s.contentHeight-s.containerHeight,n-t.scrollTop<=1?n=t.scrollTop:t.scrollTop=n,t.dispatchEvent(i("ps-y-reach-end"))),"left"===e&&n>=s.contentWidth-s.containerWidth&&(n=s.contentWidth-s.containerWidth,n-t.scrollLeft<=1?n=t.scrollLeft:t.scrollLeft=n,t.dispatchEvent(i("ps-x-reach-end"))),r||(r=t.scrollTop),o||(o=t.scrollLeft),"top"===e&&n<r&&t.dispatchEvent(i("ps-scroll-up")),"top"===e&&n>r&&t.dispatchEvent(i("ps-scroll-down")),"left"===e&&n<o&&t.dispatchEvent(i("ps-scroll-left")),"left"===e&&n>o&&t.dispatchEvent(i("ps-scroll-right")),"top"===e&&(t.scrollTop=r=n,t.dispatchEvent(i("ps-scroll-y"))),"left"===e&&(t.scrollLeft=o=n,t.dispatchEvent(i("ps-scroll-x")))}},{"./instances":18}],21:[function(t,e,n){"use strict";var r=t("../lib/helper"),o=t("../lib/dom"),l=t("./instances"),i=t("./update-geometry"),s=t("./update-scroll");e.exports=function(t){var e=l.get(t);e&&(e.negativeScrollAdjustment=e.isNegativeScroll?t.scrollWidth-t.clientWidth:0,o.css(e.scrollbarXRail,"display","block"),o.css(e.scrollbarYRail,"display","block"),e.railXMarginWidth=r.toInt(o.css(e.scrollbarXRail,"marginLeft"))+r.toInt(o.css(e.scrollbarXRail,"marginRight")),e.railYMarginHeight=r.toInt(o.css(e.scrollbarYRail,"marginTop"))+r.toInt(o.css(e.scrollbarYRail,"marginBottom")),o.css(e.scrollbarXRail,"display","none"),o.css(e.scrollbarYRail,"display","none"),i(t),s(t,"top",t.scrollTop),s(t,"left",t.scrollLeft),o.css(e.scrollbarXRail,"display",""),o.css(e.scrollbarYRail,"display",""))}},{"../lib/dom":3,"../lib/helper":6,"./instances":18,"./update-geometry":19,"./update-scroll":20}]},{},[1]);
=====================================================
== File: docs/community/themes/hugo-theme-learn/static/js/perfect-scrollbar.min.js
=====================================================
/* perfect-scrollbar v0.6.13 */
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=====================================================
== File: docs/community/themes/hugo-theme-learn/static/js/jquery.sticky.js
=====================================================
// Sticky Plugin v1.0.4 for jQuery
// =============
// Author: Anthony Garand
// Improvements by German M. Bravo (Kronuz) and Ruud Kamphuis (ruudk)
// Improvements by Leonardo C. Daronco (daronco)
// Created: 02/14/2011
// Date: 07/20/2015
// Website: http://stickyjs.com/
// Description: Makes an element on the page stick on the screen as you scroll
// It will only set the 'top' and 'position' of your element, you
// might need to adjust the width in some cases.
(function (factory) {
if (typeof define === 'function' && define.amd) {
// AMD. Register as an anonymous module.
define(['jquery'], factory);
} else if (typeof module === 'object' && module.exports) {
// Node/CommonJS
module.exports = factory(require('jquery'));
} else {
// Browser globals
factory(jQuery);
}
}(function ($) {
var slice = Array.prototype.slice; // save ref to original slice()
var splice = Array.prototype.splice; // save ref to original slice()
var defaults = {
topSpacing: 0,
bottomSpacing: 0,
className: 'is-sticky',
wrapperClassName: 'sticky-wrapper',
center: false,
getWidthFrom: '',
widthFromWrapper: true, // works only when .getWidthFrom is empty
responsiveWidth: false,
zIndex: 'inherit'
},
$window = $(window),
$document = $(document),
$TableOfContents = $('#TableOfContents'),
sticked = [],
windowHeight = $window.height(),
scroller = function() {
var scrollTop = $window.scrollTop(),
documentHeight = $document.height(),
dwh = documentHeight - windowHeight,
extra = (scrollTop > dwh) ? dwh - scrollTop : 0;
for (var i = 0, l = sticked.length; i < l; i++) {
=====================================================
== File: docs/community/themes/hugo-theme-learn/static/js/modernizr.custom.71422.js
=====================================================
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=====================================================
== File: docs/community/themes/hugo-theme-learn/static/js/featherlight.min.js
=====================================================
/**
* Featherlight - ultra slim jQuery lightbox
* Version 1.2.3 - http://noelboss.github.io/featherlight/
*
* Copyright 2015, Noël Raoul Bossart (http://www.noelboss.com)
* MIT Licensed.
**/
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g.process.call(b,f)},setContent:function(b){var c=this;return(b.is("iframe")||a("iframe",b).length>0)&&c.$instance.addClass(c.namespace+"-iframe"),c.$instance.removeClass(c.namespace+"-loading"),c.$instance.find("."+c.namespace+"-inner").slice(1).remove().end().replaceWith(a.contains(c.$instance[0],b[0])?"":b),c.$content=b.addClass(c.namespace+"-inner"),c},open:function(b){var d=this;if(d.$instance.hide().appendTo(d.root),!(b&&b.isDefaultPrevented()||d.beforeOpen(b)===!1)){b&&b.preventDefault();var e=d.getContent();if(e)return c.push(d),h(!0),d.$instance.fadeIn(d.openSpeed),d.beforeContent(b),a.when(e).always(function(a){d.setContent(a),d.afterContent(b)}).then(d.$instance.promise()).done(function(){d.afterOpen(b)})}return d.$instance.detach(),a.Deferred().reject().promise()},close:function(b){var c=this,e=a.Deferred();return 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c.promise()}},iframe:{process:function(b){var c=new a.Deferred,d=a("<iframe/>").hide().attr("src",b).css(e(this,"iframe")).on("load",function(){c.resolve(d.show())}).appendTo(this.$instance.find("."+this.namespace+"-content"));return c.promise()}},text:{process:function(b){return a("<div>",{text:b})}}},functionAttributes:["beforeOpen","afterOpen","beforeContent","afterContent","beforeClose","afterClose"],readElementConfig:function(b,c){var d=this,e=new RegExp("^data-"+c+"-(.*)"),f={};return b&&b.attributes&&a.each(b.attributes,function(){var b=this.name.match(e);if(b){var c=this.value,g=a.camelCase(b[1]);if(a.inArray(g,d.functionAttributes)>=0)c=new Function(c);else try{c=a.parseJSON(c)}catch(h){}f[g]=c}}),f},extend:function(b,c){var d=function(){this.constructor=b};return d.prototype=this.prototype,b.prototype=new d,b.__super__=this.prototype,a.extend(b,this,c),b.defaults=b.prototype,b},attach:function(b,c,d){var e=this;"object"!=typeof c||c instanceof a!=!1||d||(d=c,c=void 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c=this.$content.naturalWidth,d=this.$content.naturalHeight;this.$content.css("width","").css("height","");var e=Math.max(c/parseInt(this.$content.parent().css("width"),10),d/parseInt(this.$content.parent().css("height"),10));e>1&&this.$content.css("width",""+c/e+"px").css("height",""+d/e+"px")}return a(b)},afterContent:function(a,b){var c=a(b);return this.onResize(b),c}}}),a.featherlight=b,a.fn.featherlight=function(a,c){return b.attach(this,a,c)},a(document).ready(function(){b._onReady()})}(jQuery);
=====================================================
== File: docs/community/themes/hugo-theme-learn/static/js/clipboard.min.js
=====================================================
/*!
* clipboard.js v1.5.5
* https://zenorocha.github.io/clipboard.js
*
* Licensed MIT © Zeno Rocha
*/
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t(){this.listener.destroy(),this.clipboardAction&&(this.clipboardAction.destroy(),this.clipboardAction=null)},e}(l.default);n.default=h,e.exports=n.default},{"./clipboard-action":8,"good-listener":5,"tiny-emitter":7}]},{},[9])(9)});
=====================================================
== File: docs/community/themes/hugo-theme-learn/static/css/theme.css
=====================================================
@charset "UTF-8";
#top-github-link, #body #breadcrumbs {
position: relative;
top: 50%;
-webkit-transform: translateY(-50%);
-moz-transform: translateY(-50%);
-o-transform: translateY(-50%);
-ms-transform: translateY(-50%);
transform: translateY(-50%);
}
.button, .button-secondary {
display: inline-block;
padding: 7px 12px;
}
.button:active, .button-secondary:active {
margin: 2px 0 -2px 0;
}
@font-face {
font-family: 'Novacento Sans Wide';
src: url("../fonts/Novecentosanswide-UltraLight-webfont.eot");
src: url("../fonts/Novecentosanswide-UltraLight-webfont.eot?#iefix") format("embedded-opentype"), url("../fonts/Novecentosanswide-UltraLight-webfont.woff2") format("woff2"), url("../fonts/Novecentosanswide-UltraLight-webfont.woff") format("woff"), url("../fonts/Novecentosanswide-UltraLight-webfont.ttf") format("truetype"), url("../fonts/Novecentosanswide-UltraLight-webfont.svg#novecento_sans_wideultralight") format("svg");
font-style: normal;
font-weight: 200;
}
@font-face {
font-family: 'Work Sans';
font-style: normal;
font-weight: 300;
src: url("../fonts/Work_Sans_300.eot?#iefix") format("embedded-opentype"), url("../fonts/Work_Sans_300.woff") format("woff"), url("../fonts/Work_Sans_300.woff2") format("woff2"), url("../fonts/Work_Sans_300.svg#WorkSans") format("svg"), url("../fonts/Work_Sans_300.ttf") format("truetype");
}
@font-face {
font-family: 'Work Sans';
font-style: normal;
font-weight: 500;
src: url("../fonts/Work_Sans_500.eot?#iefix") format("embedded-opentype"), url("../fonts/Work_Sans_500.woff") format("woff"), url("../fonts/Work_Sans_500.woff2") format("woff2"), url("../fonts/Work_Sans_500.svg#WorkSans") format("svg"), url("../fonts/Work_Sans_500.ttf") format("truetype");
}
body {
background: #fff;
color: #777;
}
body #chapter h1 {
font-size: 3.5rem;
}
@media only all and (min-width: 48em) and (max-width: 59.938em) {
body #chapter h1 {
font-size: 3rem;
}
}
@media only all and (max-width: 47.938em) {
body #chapter h1 {
=====================================================
== File: docs/community/themes/hugo-theme-learn/static/css/hybrid.css
=====================================================
/*
vim-hybrid theme by w0ng (https://github.com/w0ng/vim-hybrid)
*/
/*background color*/
.hljs {
display: block;
overflow-x: auto;
padding: 0.5em;
/* background: #1d1f21; */
}
/*selection color*/
.hljs::selection,
.hljs span::selection {
background: #373b41;
}
.hljs::-moz-selection,
.hljs span::-moz-selection {
background: #373b41;
}
/*foreground color*/
.hljs {
color: #c5c8c6;
}
/*color: fg_yellow*/
.hljs-title,
.hljs-name {
color: #f0c674;
}
/*color: fg_comment*/
.hljs-comment,
.hljs-meta,
.hljs-meta .hljs-keyword {
color: #707880;
}
/*color: fg_red*/
.hljs-number,
.hljs-symbol,
.hljs-literal,
.hljs-deletion,
.hljs-link {
color: #cc6666
=====================================================
== File: docs/community/themes/hugo-theme-learn/static/css/auto-complete.css
=====================================================
.autocomplete-suggestions {
text-align: left;
cursor: default;
border: 1px solid #ccc;
border-top: 0;
background: #fff;
box-shadow: -1px 1px 3px rgba(0,0,0,.1);
/* core styles should not be changed */
position: absolute;
display: none;
z-index: 9999;
max-height: 254px;
overflow: hidden;
overflow-y: auto;
box-sizing: border-box;
}
.autocomplete-suggestion {
position: relative;
cursor: pointer;
padding: 7px;
line-height: 23px;
white-space: nowrap;
overflow: hidden;
text-overflow: ellipsis;
color: #333;
}
.autocomplete-suggestion b {
font-weight: normal;
color: #1f8dd6;
}
.autocomplete-suggestion.selected {
background: #333;
color: #fff;
}
.autocomplete-suggestion:hover {
background: #444;
color: #fff;
}
.autocomplete-suggestion > .context {
font-size: 12px;
}
=====================================================
== File: docs/community/themes/hugo-theme-learn/static/css/featherlight.min.css
=====================================================
/**
* Featherlight - ultra slim jQuery lightbox
* Version 1.2.3 - http://noelboss.github.io/featherlight/
*
* Copyright 2015, Noël Raoul Bossart (http://www.noelboss.com)
* MIT Licensed.
**/
@media all{.featherlight{display:none;position:fixed;top:0;right:0;bottom:0;left:0;z-index:2147483647;text-align:center;white-space:nowrap;cursor:pointer;background:#333;background:rgba(0,0,0,0)}.featherlight:last-of-type{background:rgba(0,0,0,.8)}.featherlight:before{content:'';display:inline-block;height:100%;vertical-align:middle;margin-right:-.25em}.featherlight .featherlight-content{position:relative;text-align:left;vertical-align:middle;display:inline-block;overflow:auto;padding:25px 25px 0;border-bottom:25px solid transparent;min-width:30%;margin-left:5%;margin-right:5%;max-height:95%;background:#fff;cursor:auto;white-space:normal}.featherlight .featherlight-inner{display:block}.featherlight .featherlight-close-icon{position:absolute;z-index:9999;top:0;right:0;line-height:25px;width:25px;cursor:pointer;text-align:center;font:Arial,sans-serif;background:#fff;background:rgba(255,255,255,.3);color:#000}.featherlight .featherlight-image{width:100%}.featherlight-iframe .featherlight-content{border-bottom:0;padding:0}.featherlight iframe{border:0}}@media only screen and (max-width:1024px){.featherlight .featherlight-content{margin-left:10px;margin-right:10px;max-height:98%;padding:10px 10px 0;border-bottom:10px solid transparent}}
=====================================================
== File: docs/community/themes/hugo-theme-learn/static/css/theme-blue.css
=====================================================
:root{
--MAIN-TEXT-color:#323232; /* Color of text by default */
--MAIN-TITLES-TEXT-color: #5e5e5e; /* Color of titles h2-h3-h4-h5 */
--MAIN-LINK-color:#1C90F3; /* Color of links */
--MAIN-LINK-HOVER-color:#167ad0; /* Color of hovered links */
--MAIN-ANCHOR-color: #1C90F3; /* color of anchors on titles */
--MENU-HEADER-BG-color:#1C90F3; /* Background color of menu header */
--MENU-HEADER-BORDER-color:#33a1ff; /*Color of menu header border */
--MENU-SEARCH-BG-color:#167ad0; /* Search field background color (by default borders + icons) */
--MENU-SEARCH-BOX-color: #33a1ff; /* Override search field border color */
--MENU-SEARCH-BOX-ICONS-color: #a1d2fd; /* Override search field icons color */
--MENU-SECTIONS-ACTIVE-BG-color:#20272b; /* Background color of the active section and its childs */
--MENU-SECTIONS-BG-color:#252c31; /* Background color of other sections */
--MENU-SECTIONS-LINK-color: #ccc; /* Color of links in menu */
--MENU-SECTIONS-LINK-HOVER-color: #e6e6e6; /* Color of links in menu, when hovered */
--MENU-SECTION-ACTIVE-CATEGORY-color: #777; /* Color of active category text */
--MENU-SECTION-ACTIVE-CATEGORY-BG-color: #fff; /* Color of background for the active category (only) */
--MENU-VISITED-color: #33a1ff; /* Color of 'page visited' icons in menu */
--MENU-SECTION-HR-color: #20272b; /* Color of <hr> separator in menu */
}
body {
color: var(--MAIN-TEXT-color) !important;
}
textarea:focus, input[type="email"]:focus, input[type="number"]:focus, input[type="password"]:focus, input[type="search"]:focus, input[type="tel"]:focus, input[type="text"]:focus, input[type="url"]:focus, input[type="color"]:focus, input[type="date"]:focus, input[type="datetime"]:focus, input[type="datetime-local"]:focus, input[type="month"]:focus, input[type="time"]:focus, input[type="week"]:focus, select[multiple=multiple]:focus {
border-color: none;
box-shadow: none;
}
h2, h3, h4, h5 {
color: var(--MAIN-TITLES-TEXT-color) !important;
}
a {
color: var(--MAIN-LINK-color);
}
.anchor {
color: var(--MAIN-ANCHOR-color);
}
a:hover {
=====================================================
== File: docs/community/themes/hugo-theme-learn/static/css/theme-red.css
=====================================================
:root{
--MAIN-TEXT-color:#323232; /* Color of text by default */
--MAIN-TITLES-TEXT-color: #5e5e5e; /* Color of titles h2-h3-h4-h5 */
--MAIN-LINK-color:#f31c1c; /* Color of links */
--MAIN-LINK-HOVER-color:#d01616; /* Color of hovered links */
--MAIN-ANCHOR-color: #f31c1c; /* color of anchors on titles */
--MENU-HEADER-BG-color:#dc1010; /* Background color of menu header */
--MENU-HEADER-BORDER-color:#e23131; /*Color of menu header border */
--MENU-SEARCH-BG-color:#b90000; /* Search field background color (by default borders + icons) */
--MENU-SEARCH-BOX-color: #ef2020; /* Override search field border color */
--MENU-SEARCH-BOX-ICONS-color: #fda1a1; /* Override search field icons color */
--MENU-SECTIONS-ACTIVE-BG-color:#2b2020; /* Background color of the active section and its childs */
--MENU-SECTIONS-BG-color:#312525; /* Background color of other sections */
--MENU-SECTIONS-LINK-color: #ccc; /* Color of links in menu */
--MENU-SECTIONS-LINK-HOVER-color: #e6e6e6; /* Color of links in menu, when hovered */
--MENU-SECTION-ACTIVE-CATEGORY-color: #777; /* Color of active category text */
--MENU-SECTION-ACTIVE-CATEGORY-BG-color: #fff; /* Color of background for the active category (only) */
--MENU-VISITED-color: #ff3333; /* Color of 'page visited' icons in menu */
--MENU-SECTION-HR-color: #2b2020; /* Color of <hr> separator in menu */
}
body {
color: var(--MAIN-TEXT-color) !important;
}
textarea:focus, input[type="email"]:focus, input[type="number"]:focus, input[type="password"]:focus, input[type="search"]:focus, input[type="tel"]:focus, input[type="text"]:focus, input[type="url"]:focus, input[type="color"]:focus, input[type="date"]:focus, input[type="datetime"]:focus, input[type="datetime-local"]:focus, input[type="month"]:focus, input[type="time"]:focus, input[type="week"]:focus, select[multiple=multiple]:focus {
border-color: none;
box-shadow: none;
}
h2, h3, h4, h5 {
color: var(--MAIN-TITLES-TEXT-color) !important;
}
a {
color: var(--MAIN-LINK-color);
}
.anchor {
color: var(--MAIN-ANCHOR-color);
}
a:hover {
=====================================================
== File: docs/community/themes/hugo-theme-learn/static/css/perfect-scrollbar.min.css
=====================================================
/* perfect-scrollbar v0.6.13 */
.ps-container{-ms-touch-action:auto;touch-action:auto;overflow:hidden !important;-ms-overflow-style:none}@supports (-ms-overflow-style: none){.ps-container{overflow:auto !important}}@media screen and (-ms-high-contrast: active), (-ms-high-contrast: none){.ps-container{overflow:auto !important}}.ps-container.ps-active-x>.ps-scrollbar-x-rail,.ps-container.ps-active-y>.ps-scrollbar-y-rail{display:block;background-color:transparent}.ps-container.ps-in-scrolling.ps-x>.ps-scrollbar-x-rail{background-color:#eee;opacity:.9}.ps-container.ps-in-scrolling.ps-x>.ps-scrollbar-x-rail>.ps-scrollbar-x{background-color:#999;height:11px}.ps-container.ps-in-scrolling.ps-y>.ps-scrollbar-y-rail{background-color:#eee;opacity:.9}.ps-container.ps-in-scrolling.ps-y>.ps-scrollbar-y-rail>.ps-scrollbar-y{background-color:#999;width:11px}.ps-container>.ps-scrollbar-x-rail{display:none;position:absolute;opacity:0;-webkit-transition:background-color .2s linear, opacity .2s linear;-o-transition:background-color .2s linear, opacity .2s linear;-moz-transition:background-color .2s linear, opacity .2s linear;transition:background-color .2s linear, opacity .2s linear;bottom:0px;height:15px}.ps-container>.ps-scrollbar-x-rail>.ps-scrollbar-x{position:absolute;background-color:#aaa;-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px;-webkit-transition:background-color .2s linear, height .2s linear, width .2s ease-in-out, -webkit-border-radius .2s ease-in-out;transition:background-color .2s linear, height .2s linear, width .2s ease-in-out, -webkit-border-radius .2s ease-in-out;-o-transition:background-color .2s linear, height .2s linear, width .2s ease-in-out, border-radius .2s ease-in-out;-moz-transition:background-color .2s linear, height .2s linear, width .2s ease-in-out, border-radius .2s ease-in-out, -moz-border-radius .2s ease-in-out;transition:background-color .2s linear, height .2s linear, width .2s ease-in-out, border-radius .2s ease-in-out;transition:background-color .2s linear, height .2s linear, width .2s ease-in-out, border-radius .2s ease-in-out, -webkit-border-radius .2s ease-in-out, -moz-border-radius .2s ease-in-out;bottom:2px;height:6px}.ps-container>.ps-scrollbar-x-rail:hover>.ps-scrollbar-x,.ps-container>.ps-scrollbar-x-rail:active>.ps-scrollbar-x{height:11px}.ps-container>.ps-scrollbar-y-rail{display:none;position:absolute;opacity:0;-webkit-transition:background-color .2s linear, opacity .2s linear;-o-transition:background-color .2s linear, opacity .2s linear;-moz-transition:background-color .2s linear, opacity .2s linear;transition:background-color .2s linear, opacity .2s linear;right:0;width:15px}.ps-container>.ps-scrollbar-y-rail>.ps-scrollbar-y{position:absolute;background-color:#aaa;-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px;-webkit-transition:background-color .2s linear, height .2s linear, width .2s ease-in-out, -webkit-border-radius .2s ease-in-out;transition:background-color .2s linear, height .2s linear, width .2s ease-in-out, -webkit-border-radius .2s ease-in-out;-o-transition:background-color .2s linear, height .2s linear, width .2s ease-in-out, border-radius .2s ease-in-out;-moz-transition:background-color .2s linear, height .2s linear, width .2s ease-in-out, border-radius .2s ease-in-out, -moz-border-radius .2s ease-in-out;transition:background-color .2s linear, height .2s linear, width .2s ease-in-out, border-radius .2s ease-in-out;transition:background-color .2s linear, height .2s linear, width .2s ease-in-out, border-radius .2s ease-in-out, -webkit-border-radius .2s ease-in-out, -moz-border-radius .2s ease-in-out;right:2px;width:6px}.ps-container>.ps-scrollbar-y-rail:hover>.ps-scrollbar-y,.ps-container>.ps-scrollbar-y-rail:active>.ps-scrollbar-y{width:11px}.ps-container:hover.ps-in-scrolling.ps-x>.ps-scrollbar-x-rail{background-color:#eee;opacity:.9}.ps-container:hover.ps-in-scrolling.ps-x>.ps-scrollbar-x-rail>.ps-scrollbar-x{background-color:#999;height:11px}.ps-container:hover.ps-in-scrolling.ps-y>.ps-scrollbar-y-rail{background-color:#eee;opacity:.9}.ps-container:hover.ps-in-scrolling.ps-y>.ps-scrollbar-y-rail>.ps-scrollbar-y{background-color:#999;width:11px}.ps-container:hover>.ps-scrollbar-x-rail,.ps-container:hover>.ps-scrollbar-y-rail{opacity:.6}.ps-container:hover>.ps-scrollbar-x-rail:hover{background-color:#eee;opacity:.9}.ps-container:hover>.ps-scrollbar-x-rail:hover>.ps-scrollbar-x{background-color:#999}.ps-container:hover>.ps-scrollbar-y-rail:hover{background-color:#eee;opacity:.9}.ps-container:hover>.ps-scrollbar-y-rail:hover>.ps-scrollbar-y{background-color:#999}
=====================================================
== File: docs/community/themes/hugo-theme-learn/static/css/font-awesome.min.css
=====================================================
/*!
* Font Awesome 4.7.0 by @davegandy - http://fontawesome.io - @fontawesome
* License - http://fontawesome.io/license (Font: SIL OFL 1.1, CSS: MIT License)
*/@font-face{font-family:'FontAwesome';src:url('../fonts/fontawesome-webfont.eot?v=4.7.0');src:url('../fonts/fontawesome-webfont.eot?#iefix&v=4.7.0') format('embedded-opentype'),url('../fonts/fontawesome-webfont.woff2?v=4.7.0') format('woff2'),url('../fonts/fontawesome-webfont.woff?v=4.7.0') format('woff'),url('../fonts/fontawesome-webfont.ttf?v=4.7.0') format('truetype'),url('../fonts/fontawesome-webfont.svg?v=4.7.0#fontawesomeregular') format('svg');font-weight:normal;font-style:normal}.fa{display:inline-block;font:normal normal normal 14px/1 FontAwesome;font-size:inherit;text-rendering:auto;-webkit-font-smoothing:antialiased;-moz-osx-font-smoothing:grayscale}.fa-lg{font-size:1.33333333em;line-height:.75em;vertical-align:-15%}.fa-2x{font-size:2em}.fa-3x{font-size:3em}.fa-4x{font-size:4em}.fa-5x{font-size:5em}.fa-fw{width:1.28571429em;text-align:center}.fa-ul{padding-left:0;margin-left:2.14285714em;list-style-type:none}.fa-ul>li{position:relative}.fa-li{position:absolute;left:-2.14285714em;width:2.14285714em;top:.14285714em;text-align:center}.fa-li.fa-lg{left:-1.85714286em}.fa-border{padding:.2em .25em .15em;border:solid .08em #eee;border-radius:.1em}.fa-pull-left{float:left}.fa-pull-right{float:right}.fa.fa-pull-left{margin-right:.3em}.fa.fa-pull-right{margin-left:.3em}.pull-right{float:right}.pull-left{float:left}.fa.pull-left{margin-right:.3em}.fa.pull-right{margin-left:.3em}.fa-spin{-webkit-animation:fa-spin 2s infinite linear;animation:fa-spin 2s infinite linear}.fa-pulse{-webkit-animation:fa-spin 1s infinite steps(8);animation:fa-spin 1s infinite steps(8)}@-webkit-keyframes fa-spin{0%{-webkit-transform:rotate(0deg);transform:rotate(0deg)}100%{-webkit-transform:rotate(359deg);transform:rotate(359deg)}}@keyframes fa-spin{0%{-webkit-transform:rotate(0deg);transform:rotate(0deg)}100%{-webkit-transform:rotate(359deg);transform:rotate(359deg)}}.fa-rotate-90{-ms-filter:"progid:DXImageTransform.Microsoft.BasicImage(rotation=1)";-webkit-transform:rotate(90deg);-ms-transform:rotate(90deg);transform:rotate(90deg)}.fa-rotate-180{-ms-filter:"progid:DXImageTransform.Microsoft.BasicImage(rotation=2)";-webkit-transform:rotate(180deg);-ms-transform:rotate(180deg);transform:rotate(180deg)}.fa-rotate-270{-ms-filter:"progid:DXImageTransform.Microsoft.BasicImage(rotation=3)";-webkit-transform:rotate(270deg);-ms-transform:rotate(270deg);transform:rotate(270deg)}.fa-flip-horizontal{-ms-filter:"progid:DXImageTransform.Microsoft.BasicImage(rotation=0, mirror=1)";-webkit-transform:scale(-1, 1);-ms-transform:scale(-1, 1);transform:scale(-1, 1)}.fa-flip-vertical{-ms-filter:"progid:DXImageTransform.Microsoft.BasicImage(rotation=2, mirror=1)";-webkit-transform:scale(1, -1);-ms-transform:scale(1, -1);transform:scale(1, -1)}:root .fa-rotate-90,:root .fa-rotate-180,:root .fa-rotate-270,:root .fa-flip-horizontal,:root .fa-flip-vertical{filter:none}.fa-stack{position:relative;display:inline-block;width:2em;height:2em;line-height:2em;vertical-align:middle}.fa-stack-1x,.fa-stack-2x{position:absolute;left:0;width:100%;text-align:center}.fa-stack-1x{line-height:inherit}.fa-stack-2x{font-size:2em}.fa-inverse{color:#fff}.fa-glass:before{content:"\f000"}.fa-music:before{content:"\f001"}.fa-search:before{content:"\f002"}.fa-envelope-o:before{content:"\f003"}.fa-heart:before{content:"\f004"}.fa-star:before{content:"\f005"}.fa-star-o:before{content:"\f006"}.fa-user:before{content:"\f007"}.fa-film:before{content:"\f008"}.fa-th-large:before{content:"\f009"}.fa-th:before{content:"\f00a"}.fa-th-list:before{content:"\f00b"}.fa-check:before{content:"\f00c"}.fa-remove:before,.fa-close:before,.fa-times:before{content:"\f00d"}.fa-search-plus:before{content:"\f00e"}.fa-search-minus:before{content:"\f010"}.fa-power-off:before{content:"\f011"}.fa-signal:before{content:"\f012"}.fa-gear:before,.fa-cog:before{content:"\f013"}.fa-trash-o:before{content:"\f014"}.fa-home:before{content:"\f015"}.fa-file-o:before{content:"\f016"}.fa-clock-o:before{content:"\f017"}.fa-road:before{content:"\f018"}.fa-download:before{content:"\f019"}.fa-arrow-circle-o-down:before{content:"\f01a"}.fa-arrow-circle-o-up:before{content:"\f01b"}.fa-inbox:before{content:"\f01c"}.fa-play-circle-o:before{content:"\f01d"}.fa-rotate-right:before,.fa-repeat:before{content:"\f01e"}.fa-refresh:before{content:"\f021"}.fa-list-alt:before{content:"\f022"}.fa-lock:before{content:"\f023"}.fa-flag:before{content:"\f024"}.fa-headphones:before{content:"\f025"}.fa-volume-off:before{content:"\f026"}.fa-volume-down:before{content:"\f027"}.fa-volume-up:before{content:"\f028"}.fa-qrcode:before{content:"\f029"}.fa-barcode:before{content:"\f02a"}.fa-tag:before{content:"\f02b"}.fa-tags:before{content:"\f02c"}.fa-book:before{content:"\f02d"}.fa-bookmark:before{content:"\f02e"}.fa-print:before{content:"\f02f"}.fa-camera:before{content:"\f030"}.fa-font:before{content:"\f031"}.fa-bold:before{content:"\f032"}.fa-italic:before{content:"\f033"}.fa-text-height:before{content:"\f034"}.fa-text-width:before{content:"\f035"}.fa-align-left:before{content:"\f036"}.fa-align-center:before{content:"\f037"}.fa-align-right:before{content:"\f038"}.fa-align-justify:before{content:"\f039"}.fa-list:before{content:"\f03a"}.fa-dedent:before,.fa-outdent:before{content:"\f03b"}.fa-indent:before{content:"\f03c"}.fa-video-camera:before{content:"\f03d"}.fa-photo:before,.fa-image:before,.fa-picture-o:before{content:"\f03e"}.fa-pencil:before{content:"\f040"}.fa-map-marker:before{content:"\f041"}.fa-adjust:before{content:"\f042"}.fa-tint:before{content:"\f043"}.fa-edit:before,.fa-pencil-square-o:before{content:"\f044"}.fa-share-square-o:before{content:"\f045"}.fa-check-square-o:before{content:"\f046"}.fa-arrows:before{content:"\f047"}.fa-step-backward:before{content:"\f048"}.fa-fast-backward:before{content:"\f049"}.fa-backward:before{content:"\f04a"}.fa-play:before{content:"\f04b"}.fa-pause:before{content:"\f04c"}.fa-stop:before{content:"\f04d"}.fa-forward:before{content:"\f04e"}.fa-fast-forward:before{content:"\f050"}.fa-step-forward:before{content:"\f051"}.fa-eject:before{content:"\f052"}.fa-chevron-left:before{content:"\f053"}.fa-chevron-right:before{content:"\f054"}.fa-plus-circle:before{content:"\f055"}.fa-minus-circle:before{content:"\f056"}.fa-times-circle:before{content:"\f057"}.fa-check-circle:before{content:"\f058"}.fa-question-circle:before{content:"\f059"}.fa-info-circle:before{content:"\f05a"}.fa-crosshairs:before{content:"\f05b"}.fa-times-circle-o:before{content:"\f05c"}.fa-check-circle-o:before{content:"\f05d"}.fa-ban:before{content:"\f05e"}.fa-arrow-left:before{content:"\f060"}.fa-arrow-right:before{content:"\f061"}.fa-arrow-up:before{content:"\f062"}.fa-arrow-down:before{content:"\f063"}.fa-mail-forward:before,.fa-share:before{content:"\f064"}.fa-expand:before{content:"\f065"}.fa-compress:before{content:"\f066"}.fa-plus:before{content:"\f067"}.fa-minus:before{content:"\f068"}.fa-asterisk:before{content:"\f069"}.fa-exclamation-circle:before{content:"\f06a"}.fa-gift:before{content:"\f06b"}.fa-leaf:before{content:"\f06c"}.fa-fire:before{content:"\f06d"}.fa-eye:before{content:"\f06e"}.fa-eye-slash:before{content:"\f070"}.fa-warning:before,.fa-exclamation-triangle:before{content:"\f071"}.fa-plane:before{content:"\f072"}.fa-calendar:before{content:"\f073"}.fa-random:before{content:"\f074"}.fa-comment:before{content:"\f075"}.fa-magnet:before{content:"\f076"}.fa-chevron-up:before{content:"\f077"}.fa-chevron-down:before{content:"\f078"}.fa-retweet:before{content:"\f079"}.fa-shopping-cart:before{content:"\f07a"}.fa-folder:before{content:"\f07b"}.fa-folder-open:before{content:"\f07c"}.fa-arrows-v:before{content:"\f07d"}.fa-arrows-h:before{content:"\f07e"}.fa-bar-chart-o:before,.fa-bar-chart:before{content:"\f080"}.fa-twitter-square:before{content:"\f081"}.fa-facebook-square:before{content:"\f082"}.fa-camera-retro:before{conte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=====================================================
== File: docs/community/themes/hugo-theme-learn/static/css/hugo-theme.css
=====================================================
/* Insert here special css for hugo theme, on top of any other imported css */
/* Table of contents */
.progress ul {
list-style: none;
margin: 0;
padding: 0 5px;
}
#TableOfContents {
font-size: 13px !important;
max-height: 85vh;
overflow: auto;
padding: 15px !important;
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#TableOfContents > ul > li > ul > li > ul li {
margin-right: 8px;
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#TableOfContents > ul > li > a {
/* font-weight: bold; */
padding: 0 18px; margin: 0 2px;
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#TableOfContents > ul > li > ul > li > a {
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}
#TableOfContents > ul > li > ul > li > ul > li > ul > li > ul > li {
display: none;
}
body {
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color: #323232 !important;
}
#body a.highlight, #body a.highlight:hover, #body a.highlight:focus {
text-decoration: none;
outline: none;
outline: 0;
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#body a.highlight {
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display: inline-block;
}
=====================================================
== File: docs/community/themes/hugo-theme-learn/static/css/nucleus.css
=====================================================
*,
*::before,
*::after {
-webkit-box-sizing: border-box;
-moz-box-sizing: border-box;
box-sizing: border-box;
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@-webkit-viewport {
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@-moz-viewport {
width: device-width;
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@-ms-viewport {
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@-o-viewport {
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@viewport {
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margin: 0;
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aside,
details,
figcaption,
figure,
footer,
header,
hgroup,
main,
nav,
section,
summary {
=====================================================
== File: docs/community/themes/hugo-theme-learn/static/css/theme-green.css
=====================================================
:root{
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--MENU-SECTIONS-BG-color:#222723; /* Background color of other sections */
--MENU-SECTIONS-LINK-color: #ccc; /* Color of links in menu */
--MENU-SECTIONS-LINK-HOVER-color: #e6e6e6; /* Color of links in menu, when hovered */
--MENU-SECTION-ACTIVE-CATEGORY-color: #777; /* Color of active category text */
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--MENU-SECTION-HR-color: #18211c; /* Color of <hr> separator in menu */
}
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color: var(--MAIN-TEXT-color) !important;
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textarea:focus, input[type="email"]:focus, input[type="number"]:focus, input[type="password"]:focus, input[type="search"]:focus, input[type="tel"]:focus, input[type="text"]:focus, input[type="url"]:focus, input[type="color"]:focus, input[type="date"]:focus, input[type="datetime"]:focus, input[type="datetime-local"]:focus, input[type="month"]:focus, input[type="time"]:focus, input[type="week"]:focus, select[multiple=multiple]:focus {
border-color: none;
box-shadow: none;
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h2, h3, h4, h5 {
color: var(--MAIN-TITLES-TEXT-color) !important;
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a {
color: var(--MAIN-LINK-color);
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color: var(--MAIN-ANCHOR-color);
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a:hover {
=====================================================
== File: docs/community/themes/hugo-theme-learn/static/fonts/Novecentosanswide-Normal-webfont.svg
=====================================================
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=====================================================
== File: docs/community/themes/hugo-theme-learn/static/fonts/Work_Sans_300.svg
=====================================================
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=====================================================
== File: docs/community/themes/hugo-theme-learn/static/fonts/Work_Sans_500.svg
=====================================================
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== File: docs/community/themes/hugo-theme-learn/static/fonts/Inconsolata.svg
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== File: docs/community/themes/hugo-theme-learn/static/fonts/fontawesome-webfont.svg
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== File: docs/community/themes/hugo-theme-learn/static/fonts/Work_Sans_200.svg
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== File: docs/community/themes/hugo-theme-learn/static/mermaid/mermaid.css
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== File: docs/community/themes/hugo-theme-learn/static/mermaid/mermaid.js
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r:"└",boxuR:"╘",boxUr:"╙",boxUR:"╚",boxv:"│",boxV:"║",boxvh:"┼",boxvH:"╪",boxVh:"╫",boxVH:"╬",boxvl:"┤",boxvL:"╡",boxVl:"╢",boxVL:"╣",boxvr:"├",boxvR:"╞",boxVr:"╟",boxVR:"╠",bprime:"‵",breve:"˘",Breve:"˘",brvbar:"¦",bscr:"??",Bscr:"ℬ",bsemi:"⁏",bsim:"∽",bsime:"⋍",bsolb:"⧅",bsol:"\\",bsolhsub:"⟈",bull:"•",bullet:"•",bump:"≎",bumpE:"⪮",bumpe:"≏",Bumpeq:"≎",bumpeq:"≏",Cacute:"Ć",cacute:"ć",capand:"⩄",capbrcup:"⩉",capcap:"⩋",cap:"∩",Cap:"⋒",capcup:"⩇",capdot:"⩀",CapitalDifferentialD:"ⅅ",caps:"∩︀",caret:"⁁",caron:"ˇ",Cayleys:"ℭ",ccaps:"⩍",Ccaron:"Č",ccaron:"č",Ccedil:"Ç",ccedil:"ç",Ccirc:"Ĉ",ccirc:"ĉ",Cconint:"∰",ccups:"⩌",ccupssm:"⩐",Cdot:"Ċ",cdot:"ċ",cedil:"¸",Cedilla:"¸",cemptyv:"⦲",cent:"¢",centerdot:"·",CenterDot:"·",cfr:"??",Cfr:"ℭ",CHcy:"Ч",chcy:"ч",check:"✓",checkmark:"✓",Chi:"Χ",chi:"χ",circ:"ˆ",circeq:"≗",circlearrowleft:"↺",circlearrowright:"↻",circledast:"⊛",circledcirc:"⊚",circleddash:"⊝",CircleDot:"⊙",circledR:"®",circledS:"Ⓢ",CircleMinus:"⊖",CirclePlus:"⊕",CircleTimes:"⊗",cir:"○",cirE:"⧃",cire:"≗",cirfnint:"⨐",cirmid:"⫯",cirscir:"⧂",ClockwiseContourIntegral:"∲",CloseCurlyDoubleQuote:"”",CloseCurlyQuote:"’",clubs:"♣",clubsuit:"♣",colon:":",Colon:"∷",Colone:"⩴",colone:"≔",coloneq:"≔",comma:",",commat:"@",comp:"∁",compfn:"∘",complement:"∁",complexes:"ℂ",cong:"≅",congdot:"⩭",Congruent:"≡",conint:"∮",Conint:"∯",ContourIntegral:"∮",copf:"??",Copf:"ℂ",coprod:"∐",Coproduct:"∐",copy:"©",COPY:"©",copysr:"℗",CounterClockwiseContourIntegral:"∳",crarr:"↵",cross:"✗",Cross:"⨯",Cscr:"??",cscr:"??",csub:"⫏",csube:"⫑",csup:"⫐",csupe:"⫒",ctdot:"⋯",cudarrl:"⤸",cudarrr:"⤵",cuepr:"⋞",cuesc:"⋟",cularr:"↶",cularrp:"⤽",cupbrcap:"⩈",cupcap:"⩆",CupCap:"≍",cup:"∪",Cup:"⋓",cupcup:"⩊",cupdot:"⊍",cupor:"⩅",cups:"∪︀",curarr:"↷",curarrm:"⤼",curlyeqprec:"⋞",curlyeqsucc:"⋟",curlyvee:"⋎",curlywedge:"⋏",curren:"¤",curvearrowleft:"↶",curvearrowright:"↷",cuvee:"⋎",cuwed:"⋏",cwconint:"∲",cwint:"∱",cylcty:"⌭",dagger:"†",Dagger:"‡",daleth:"ℸ",darr:"↓",Darr:"↡",dArr:"⇓",dash:"‐",Dashv:"⫤",dashv:"⊣",dbkarow:"⤏",dblac:"˝",Dcaron:"Ď",dcaron:"ď",Dcy:"Д",dcy:"д",ddagger:"‡",ddarr:"⇊",DD:"ⅅ",dd:"ⅆ",DDotrahd:"⤑",ddotseq:"⩷",deg:"°",Del:"∇",Delta:"Δ",delta:"δ",demptyv:"⦱",dfisht:"⥿",Dfr:"??",dfr:"??",dHar:"⥥",dharl:"⇃",dharr:"⇂",DiacriticalAcute:"´",DiacriticalDot:"˙",DiacriticalDoubleAcute:"˝",DiacriticalGrave:"`",DiacriticalTilde:"˜",diam:"⋄",diamond:"⋄",Diamond:"⋄",diamondsuit:"♦",diams:"♦",die:"¨",DifferentialD:"ⅆ",digamma:"ϝ",disin:"⋲",div:"÷",divide:"÷",divideontimes:"⋇",divonx:"⋇",DJcy:"Ђ",djcy:"ђ",dlcorn:"⌞",dlcrop:"⌍",dollar:"$",Dopf:"??",dopf:"??",Dot:"¨",dot:"˙",DotDot:"⃜",doteq:"≐",doteqdot:"≑",DotEqual:"≐",dotminus:"∸",dotplus:"∔",dotsquare:"⊡",doublebarwedge:"⌆",DoubleContourIntegral:"∯",DoubleDot:"¨",DoubleDownArrow:"⇓",DoubleLeftArrow:"⇐",DoubleLeftRightArrow:"⇔",DoubleLeftTee:"⫤",DoubleLongLeftArrow:"⟸",DoubleLongLeftRightArrow:"⟺",DoubleLongRightArrow:"⟹",DoubleRightArrow:"⇒",DoubleRightTee:"⊨",DoubleUpArrow:"⇑",DoubleUpDownArrow:"⇕",DoubleVerticalBar:"∥",DownArrowBar:"⤓",downarrow:"↓",DownArrow:"↓",Downarrow:"⇓",DownArrowUpArrow:"⇵",DownBreve:"̑",downdownarrows:"⇊",downharpoonleft:"⇃",downharpoonright:"⇂",DownLeftRightVector:"⥐",DownLeftTeeVector:"⥞",DownLeftVectorBar:"⥖",DownLeftVector:"↽",DownRightTeeVector:"⥟",DownRightVectorBar:"⥗",DownRightVector:"⇁",DownTeeArrow:"↧",DownTee:"⊤",drbkarow:"⤐",drcorn:"⌟",drcrop:"⌌",Dscr:"??",dscr:"??",DScy:"Ѕ",dscy:"ѕ",dsol:"⧶",Dstrok:"Đ",dstrok:"đ",dtdot:"⋱",dtri:"▿",dtrif:"▾",duarr:"⇵",duhar:"⥯",dwangle:"⦦",DZcy:"Џ",dzcy:"џ",dzigrarr:"⟿",Eacute:"É",eacute:"é",easter:"⩮",Ecaron:"Ě",ecaron:"ě",Ecirc:"Ê",ecirc:"ê",ecir:"≖",ecolon:"≕",Ecy:"Э",ecy:"э",eDDot:"⩷",Edot:"Ė",edot:"ė",eDot:"≑",ee:"ⅇ",efDot:"≒",Efr:"??",efr:"??",eg:"⪚",Egrave:"È",egrave:"è",egs:"⪖",egsdot:"⪘",el:"⪙",Element:"∈",elinters:"⏧",ell:"ℓ",els:"⪕",elsdot:"⪗",Emacr:"Ē",emacr:"ē",empty:"∅",emptyset:"∅",EmptySmallSquare:"◻",emptyv:"∅",EmptyVerySmallSquare:"▫",emsp13:" ",emsp14:" ",emsp:" ",ENG:"Ŋ",eng:"ŋ",ensp:" ",Eogon:"Ę",eogon:"ę",Eopf:"??",eopf:"??",epar:"⋕",eparsl:"⧣",eplus:"⩱",epsi:"ε",Epsilon:"Ε",epsilon:"ε",epsiv:"ϵ",eqcirc:"≖",eqcolon:"≕",eqsim:"≂",eqslantgtr:"⪖",eqslantless:"⪕",Equal:"⩵",equals:"=",EqualTilde:"≂",equest:"≟",Equilibrium:"⇌",equiv:"≡",equivDD:"⩸",eqvparsl:"⧥",erarr:"⥱",erDot:"≓",escr:"ℯ",Escr:"ℰ",esdot:"≐",Esim:"⩳",esim:"≂",Eta:"Η",eta:"η",ETH:"Ð",eth:"ð",Euml:"Ë",euml:"ë",euro:"€",excl:"!",exist:"∃",Exists:"∃",expectation:"ℰ",exponentiale:"ⅇ",ExponentialE:"ⅇ",fallingdotseq:"≒",Fcy:"Ф",fcy:"ф",female:"♀",ffilig:"ffi",fflig:"ff",ffllig:"ffl",Ffr:"??",ffr:"??",filig:"fi",FilledSmallSquare:"◼",FilledVerySmallSquare:"▪",fjlig:"fj",flat:"♭",fllig:"fl",fltns:"▱",fnof:"ƒ",Fopf:"??",fopf:"??",forall:"∀",ForAll:"∀",fork:"⋔",forkv:"⫙",Fouriertrf:"ℱ",fpartint:"⨍",frac12:"½",frac13:"⅓",frac14:"¼",frac15:"⅕",frac16:"⅙",frac18:"⅛",frac23:"⅔",frac25:"⅖",frac34:"¾",frac35:"⅗",frac38:"⅜",frac45:"⅘",frac56:"⅚",frac58:"⅝",frac78:"⅞",frasl:"⁄",frown:"⌢",fscr:"??",Fscr:"ℱ",gacute:"ǵ",Gamma:"Γ",gamma:"γ",Gammad:"Ϝ",gammad:"ϝ",gap:"⪆",Gbreve:"Ğ",gbreve:"ğ",Gcedil:"Ģ",Gcirc:"Ĝ",gcirc:"ĝ",Gcy:"Г",gcy:"г",Gdot:"Ġ",gdot:"ġ",ge:"≥",gE:"≧",gEl:"⪌",gel:"⋛",geq:"≥",geqq:"≧",geqslant:"⩾",gescc:"⪩",ges:"⩾",gesdot:"⪀",gesdoto:"⪂",gesdotol:"⪄",gesl:"⋛︀",gesles:"⪔",Gfr:"??",gfr:"??",gg:"≫",Gg:"⋙",ggg:"⋙",gimel:"ℷ",GJcy:"Ѓ",gjcy:"ѓ",gla:"⪥",gl:"≷",glE:"⪒",glj:"⪤",gnap:"⪊",gnapprox:"⪊",gne:"⪈",gnE:"≩",gneq:"⪈",gneqq:"≩",gnsim:"⋧",Gopf:"??",gopf:"??",grave:"`",GreaterEqual:"≥",GreaterEqualLess:"⋛",GreaterFullEqual:"≧",GreaterGreater:"⪢",GreaterLess:"≷",GreaterSlantEqual:"⩾",GreaterTilde:"≳",Gscr:"??",gscr:"ℊ",gsim:"≳",gsime:"⪎",gsiml:"⪐",gtcc:"⪧",gtcir:"⩺",gt:">",GT:">",Gt:"≫",gtdot:"⋗",gtlPar:"⦕",gtquest:"⩼",gtrapprox:"⪆",gtrarr:"⥸",gtrdot:"⋗",gtreqless:"⋛",gtreqqless:"⪌",gtrless:"≷",gtrsim:"≳",gvertneqq:"≩︀",gvnE:"≩︀",Hacek:"ˇ",hairsp:" ",half:"½",hamilt:"ℋ",HARDcy:"Ъ",hardcy:"ъ",harrcir:"⥈",harr:"↔",hArr:"⇔",harrw:"↭",Hat:"^",hbar:"ℏ",Hcirc:"Ĥ",hcirc:"ĥ",hearts:"♥",heartsuit:"♥",hellip:"…",hercon:"⊹",hfr:"??",Hfr:"ℌ",HilbertSpace:"ℋ",hksearow:"⤥",hkswarow:"⤦",hoarr:"⇿",homtht:"∻",hookleftarrow:"↩",hookrightarrow:"↪",hopf:"??",Hopf:"ℍ",horbar:"―",HorizontalLine:"─",hscr:"??",Hscr:"ℋ",hslash:"ℏ",Hstrok:"Ħ",hstrok:"ħ",HumpDownHump:"≎",HumpEqual:"≏",hybull:"⁃",hyphen:"‐",Iacute:"Í",iacute:"í",ic:"",Icirc:"Î",icirc:"î",Icy:"И",icy:"и",Idot:"İ",IEcy:"Е",iecy:"е",iexcl:"¡",iff:"⇔",ifr:"??",Ifr:"ℑ",Igrave:"Ì",igrave:"ì",ii:"ⅈ",iiiint:"⨌",iiint:"∭",iinfin:"⧜",iiota:"℩",IJlig:"IJ",ijlig:"ij",Imacr:"Ī",imacr:"ī",image:"ℑ",ImaginaryI:"ⅈ",imagline:"ℐ",imagpart:"ℑ",imath:"ı",Im:"ℑ",imof:"⊷",imped:"Ƶ",Implies:"⇒",incare:"℅","in":"∈",infin:"∞",infintie:"⧝",inodot:"ı",intcal:"⊺","int":"∫",Int:"∬",integers:"ℤ",Integral:"∫",intercal:"⊺",Intersection:"⋂",intlarhk:"⨗",intprod:"⨼",InvisibleComma:"",InvisibleTimes:"",IOcy:"Ё",iocy:"ё",Iogon:"Į",iogon:"į",Iopf:"??",iopf:"??",Iota:"Ι",iota:"ι",iprod:"⨼",iquest:"¿",iscr:"??",Iscr:"ℐ",isin:"∈",isindot:"⋵",isinE:"⋹",isins:"⋴",isinsv:"⋳",isinv:"∈",it:"",Itilde:"Ĩ",itilde:"ĩ",Iukcy:"І",iukcy:"і",Iuml:"Ï",iuml:"ï",Jcirc:"Ĵ",jcirc:"ĵ",Jcy:"Й",jcy:"й",Jfr:"??",jfr:"??",jmath:"ȷ",Jopf:"??",jopf:"??",Jscr:"??",jscr:"??",Jsercy:"Ј",jsercy:"ј",Jukcy:"Є",jukcy:"є",Kappa:"Κ",kappa:"κ",kappav:"ϰ",Kcedil:"Ķ",kcedil:"ķ",Kcy:"К",kcy:"к",Kfr:"??",kfr:"??",kgreen:"ĸ",KHcy:"Х",khcy:"х",KJcy:"Ќ",kjcy:"ќ",Kopf:"??",kopf:"??",Kscr:"??",kscr:"??",lAarr:"⇚",Lacute:"Ĺ",lacute:"ĺ",laemptyv:"⦴",lagran:"ℒ",Lambda:"Λ",lambda:"λ",lang:"⟨",Lang:"⟪",langd:"⦑",langle:"⟨",lap:"⪅",Laplacetrf:"ℒ",laquo:"«",larrb:"⇤",larrbfs:"⤟",larr:"←",Larr:"↞",lArr:"⇐",larrfs:"⤝",larrhk:"↩",larrlp:"↫",larrpl:"⤹",larrsim:"⥳",larrtl:"↢",latail:"⤙",lAtail:"⤛",lat:"⪫",late:"⪭",lates:"⪭︀",lbarr:"⤌",lBarr:"⤎",lbbrk:"❲",lbrace:"{",lbrack:"[",lbrke:"⦋",lbrksld:"⦏",lbrkslu:"⦍",Lcaron:"Ľ",lcaron:"ľ",Lcedil:"Ļ",lcedil:"ļ",lceil:"⌈",lcub:"{",Lcy:"Л",lcy:"л",ldca:"⤶",ldquo:"“",ldquor:"„",ldrdhar:"⥧",ldrushar:"⥋",ldsh:"↲",le:"≤",lE:"≦",LeftAngleBracket:"⟨",LeftArrowBar:"⇤",leftarrow:"←",LeftArrow:"←",Leftarrow:"⇐",LeftArrowRightArrow:"⇆",leftarrowtail:"↢",LeftCeiling:"⌈",LeftDoubleBracket:"⟦",LeftDownTeeVector:"⥡",LeftDownVectorBar:"⥙",LeftDownVector:"⇃",LeftFloor:"⌊",leftharpoondown:"↽",leftharpoonup:"↼",leftleftarrows:"⇇",leftrightarrow:"↔",LeftRightArrow:"↔",Leftrightarrow:"⇔",leftrightarrows:"⇆",leftrightharpoons:"⇋",leftrightsquigarrow:"↭",LeftRightVector:"⥎",LeftTeeArrow:"↤",LeftTee:"⊣",LeftTeeVector:"⥚",leftthreetimes:"⋋",LeftTriangleBar:"⧏",LeftTriangle:"⊲",LeftTriangleEqual:"⊴",LeftUpDownVector:"⥑",LeftUpTeeVector:"⥠",LeftUpVectorBar:"⥘",LeftUpVector:"↿",LeftVectorBar:"⥒",LeftVector:"↼",lEg:"⪋",leg:"⋚",leq:"≤",leqq:"≦",leqslant:"⩽",lescc:"⪨",les:"⩽",lesdot:"⩿",lesdoto:"⪁",lesdotor:"⪃",lesg:"⋚︀",lesges:"⪓",lessapprox:"⪅",lessdot:"⋖",lesseqgtr:"⋚",lesseqqgtr:"⪋",LessEqualGreater:"⋚",LessFullEqual:"≦",LessGreater:"≶",lessgtr:"≶",LessLess:"⪡",lesssim:"≲",LessSlantEqual:"⩽",LessTilde:"≲",lfisht:"⥼",lfloor:"⌊",Lfr:"??",lfr:"??",lg:"≶",lgE:"⪑",lHar:"⥢",lhard:"↽",lharu:"↼",lharul:"⥪",lhblk:"▄",LJcy:"Љ",ljcy:"љ",llarr:"⇇",ll:"≪",Ll:"⋘",llcorner:"⌞",Lleftarrow:"⇚",llhard:"⥫",lltri:"◺",Lmidot:"Ŀ",lmidot:"ŀ",lmoustache:"⎰",lmoust:"⎰",lnap:"⪉",lnapprox:"⪉",lne:"⪇",lnE:"≨",lneq:"⪇",lneqq:"≨",lnsim:"⋦",loang:"⟬",loarr:"⇽",lobrk:"⟦",longleftarrow:"⟵",LongLeftArrow:"⟵",Longleftarrow:"⟸",longleftrightarrow:"⟷",LongLeftRightArrow:"⟷",Longleftrightarrow:"⟺",longmapsto:"⟼",longrightarrow:"⟶",LongRightArrow:"⟶",Longrightarrow:"⟹",looparrowleft:"↫",looparrowright:"↬",lopar:"⦅",Lopf:"??",lopf:"??",loplus:"⨭",lotimes:"⨴",lowast:"∗",lowbar:"_",LowerLeftArrow:"↙",LowerRightArrow:"↘",loz:"◊",lozenge:"◊",lozf:"⧫",lpar:"(",lparlt:"⦓",lrarr:"⇆",lrcorner:"⌟",lrhar:"⇋",lrhard:"⥭",lrm:"",lrtri:"⊿",lsaquo:"‹",lscr:"??",Lscr:"ℒ",lsh:"↰",Lsh:"↰",lsim:"≲",lsime:"⪍",lsimg:"⪏",lsqb:"[",lsquo:"‘",lsquor:"‚",Lstrok:"Ł",lstrok:"ł",ltcc:"⪦",ltcir:"⩹",lt:"<",LT:"<",Lt:"≪",ltdot:"⋖",lthree:"⋋",ltimes:"⋉",ltlarr:"⥶",ltquest:"⩻",ltri:"◃",ltrie:"⊴",ltrif:"◂",ltrPar:"⦖",lurdshar:"⥊",luruhar:"⥦",lvertneqq:"≨︀",lvnE:"≨︀",macr:"¯",male:"♂",malt:"✠",maltese:"✠",Map:"⤅",map:"↦",mapsto:"↦",mapstodown:"↧",mapstoleft:"↤",mapstoup:"↥",marker:"▮",mcomma:"⨩",Mcy:"М",mcy:"м",mdash:"—",mDDot:"∺",measuredangle:"∡",MediumSpace:" ",Mellintrf:"ℳ",Mfr:"??",mfr:"??",mho:"℧",micro:"µ",midast:"*",midcir:"⫰",mid:"∣",middot:"·",minusb:"⊟",minus:"−",minusd:"∸",minusdu:"⨪",MinusPlus:"∓",mlcp:"⫛",mldr:"…",mnplus:"∓",models:"⊧",Mopf:"??",mopf:"??",mp:"∓",mscr:"??",Mscr:"ℳ",mstpos:"∾",Mu:"Μ",mu:"μ",multimap:"⊸",mumap:"⊸",nabla:"∇",Nacute:"Ń",nacute:"ń",nang:"∠⃒",nap:"≉",napE:"⩰̸",napid:"≋̸",napos:"ʼn",napprox:"≉",natural:"♮",naturals:"ℕ",natur:"♮",nbsp:" ",nbump:"≎̸",nbumpe:"≏̸",ncap:"⩃",Ncaron:"Ň",ncaron:"ň",Ncedil:"Ņ",ncedil:"ņ",ncong:"≇",ncongdot:"⩭̸",ncup:"⩂",Ncy:"Н",ncy:"н",ndash:"–",nearhk:"⤤",nearr:"↗",neArr:"⇗",nearrow:"↗",ne:"≠",nedot:"≐̸",NegativeMediumSpace:"",NegativeThickSpace:"",NegativeThinSpace:"",NegativeVeryThinSpace:"",nequiv:"≢",nesear:"⤨",nesim:"≂̸",NestedGreaterGreater:"≫",NestedLessLess:"≪",NewLine:"\n",nexist:"∄",nexists:"∄",Nfr:"??",nfr:"??",ngE:"≧̸",nge:"≱",ngeq:"≱",ngeqq:"≧̸",ngeqslant:"⩾̸",nges:"⩾̸",nGg:"⋙̸",ngsim:"≵",nGt:"≫⃒",ngt:"≯",ngtr:"≯",nGtv:"≫̸",nharr:"↮",nhArr:"⇎",nhpar:"⫲",ni:"∋",nis:"⋼",nisd:"⋺",niv:"∋",NJcy:"Њ",njcy:"њ",nlarr:"↚",nlArr:"⇍",nldr:"‥",nlE:"≦̸",nle:"≰",nleftarrow:"↚",nLeftarrow:"⇍",nleftrightarrow:"↮",nLeftrightarrow:"⇎",nleq:"≰",nleqq:"≦̸",nleqslant:"⩽̸",nles:"⩽̸",nless:"≮",nLl:"⋘̸",nlsim:"≴",nLt:"≪⃒",nlt:"≮",nltri:"⋪",nltrie:"⋬",nLtv:"≪̸",nmid:"∤",NoBreak:"",NonBreakingSpace:" ",nopf:"??",Nopf:"ℕ",Not:"⫬",not:"¬",NotCongruent:"≢",NotCupCap:"≭",NotDoubleVerticalBar:"∦",NotElement:"∉",NotEqual:"≠",NotEqualTilde:"≂̸",NotExists:"∄",NotGreater:"≯",NotGreaterEqual:"≱",NotGreaterFullEqual:"≧̸",NotGreaterGreater:"≫̸",NotGreaterLess:"≹",NotGreaterSlantEqual:"⩾̸",NotGreaterTilde:"≵",NotHumpDownHump:"≎̸",NotHumpEqual:"≏̸",notin:"∉",notindot:"⋵̸",notinE:"⋹̸",notinva:"∉",notinvb:"⋷",notinvc:"⋶",NotLeftTriangleBar:"⧏̸",NotLeftTriangle:"⋪",NotLeftTriangleEqual:"⋬",NotLess:"≮",NotLessEqual:"≰",NotLessGreater:"≸",NotLessLess:"≪̸",NotLessSlantEqual:"⩽̸",NotLessTilde:"≴",NotNestedGreaterGreater:"⪢̸",NotNestedLessLess:"⪡̸",notni:"∌",notniva:"∌",notnivb:"⋾",notnivc:"⋽",NotPrecedes:"⊀",NotPrecedesEqual:"⪯̸",NotPrecedesSlantEqual:"⋠",NotReverseElement:"∌",NotRightTriangleBar:"⧐̸",NotRightTriangle:"⋫",NotRightTriangleEqual:"⋭",NotSquareSubset:"⊏̸",NotSquareSubsetEqual:"⋢",NotSquareSuperset:"⊐̸",NotSquareSupersetEqual:"⋣",NotSubset:"⊂⃒",NotSubsetEqual:"⊈",NotSucceeds:"⊁",NotSucceedsEqual:"⪰̸",NotSucceedsSlantEqual:"⋡",NotSucceedsTilde:"≿̸",NotSuperset:"⊃⃒",NotSupersetEqual:"⊉",NotTilde:"≁",NotTildeEqual:"≄",NotTildeFullEqual:"≇",NotTildeTilde:"≉",NotVerticalBar:"∤",nparallel:"∦",npar:"∦",nparsl:"⫽⃥",npart:"∂̸",npolint:"⨔",npr:"⊀",nprcue:"⋠",nprec:"⊀",npreceq:"⪯̸",npre:"⪯̸",nrarrc:"⤳̸",nrarr:"↛",nrArr:"⇏",nrarrw:"↝̸",nrightarrow:"↛",nRightarrow:"⇏",nrtri:"⋫",nrtrie:"⋭",nsc:"⊁",nsccue:"⋡",nsce:"⪰̸",Nscr:"??",nscr:"??",nshortmid:"∤",nshortparallel:"∦",nsim:"≁",nsime:"≄",nsimeq:"≄",nsmid:"∤",nspar:"∦",nsqsube:"⋢",nsqsupe:"⋣",nsub:"⊄",nsubE:"⫅̸",nsube:"⊈",nsubset:"⊂⃒",nsubseteq:"⊈",nsubseteqq:"⫅̸",nsucc:"⊁",nsucceq:"⪰̸",nsup:"⊅",nsupE:"⫆̸",nsupe:"⊉",nsupset:"⊃⃒",nsupseteq:"⊉",nsupseteqq:"⫆̸",ntgl:"≹",Ntilde:"Ñ",ntilde:"ñ",ntlg:"≸",ntriangleleft:"⋪",ntrianglelefteq:"⋬",ntriangleright:"⋫",ntrianglerighteq:"⋭",Nu:"Ν",nu:"ν",num:"#",numero:"№",numsp:" ",nvap:"≍⃒",nvdash:"⊬",nvDash:"⊭",nVdash:"⊮",nVDash:"⊯",nvge:"≥⃒",nvgt:">⃒",nvHarr:"⤄",nvinfin:"⧞",nvlArr:"⤂",nvle:"≤⃒",nvlt:"<⃒",nvltrie:"⊴⃒",nvrArr:"⤃",nvrtrie:"⊵⃒",nvsim:"∼⃒",nwarhk:"⤣",nwarr:"↖",nwArr:"⇖",nwarrow:"↖",nwnear:"⤧",Oacute:"Ó",oacute:"ó",oast:"⊛",Ocirc:"Ô",ocirc:"ô",ocir:"⊚",Ocy:"О",ocy:"о",odash:"⊝",Odblac:"Ő",odblac:"ő",odiv:"⨸",odot:"⊙",odsold:"⦼",OElig:"Œ",oelig:"œ",ofcir:"⦿",Ofr:"??",ofr:"??",ogon:"˛",Ograve:"Ò",ograve:"ò",ogt:"⧁",ohbar:"⦵",ohm:"Ω",oint:"∮",olarr:"↺",olcir:"⦾",olcross:"⦻",oline:"‾",olt:"⧀",Omacr:"Ō",omacr:"ō",Omega:"Ω",omega:"ω",Omicron:"Ο",omicron:"ο",omid:"⦶",ominus:"⊖",Oopf:"??",oopf:"??",opar:"⦷",OpenCurlyDoubleQuote:"“",OpenCurlyQuote:"‘",operp:"⦹",oplus:"⊕",orarr:"↻",Or:"⩔",or:"∨",ord:"⩝",order:"ℴ",orderof:"ℴ",ordf:"ª",ordm:"º",origof:"⊶",oror:"⩖",orslope:"⩗",orv:"⩛",oS:"Ⓢ",Oscr:"??",oscr:"ℴ",Oslash:"Ø",oslash:"ø",osol:"⊘",Otilde:"Õ",otilde:"õ",otimesas:"⨶",Otimes:"⨷",otimes:"⊗",Ouml:"Ö",ouml:"ö",ovbar:"⌽",OverBar:"‾",OverBrace:"⏞",OverBracket:"⎴",OverParenthesis:"⏜",para:"¶",parallel:"∥",par:"∥",parsim:"⫳",parsl:"⫽",part:"∂",PartialD:"∂",Pcy:"П",pcy:"п",percnt:"%",period:".",permil:"‰",perp:"⊥",pertenk:"‱",Pfr:"??",pfr:"??",Phi:"Φ",phi:"φ",phiv:"ϕ",phmmat:"ℳ",phone:"☎",Pi:"Π",pi:"π",pitchfork:"⋔",piv:"ϖ",planck:"ℏ",planckh:"ℎ",plankv:"ℏ",plusacir:"⨣",plusb:"⊞",pluscir:"⨢",plus:"+",plusdo:"∔",plusdu:"⨥",pluse:"⩲",PlusMinus:"±",plusmn:"±",plussim:"⨦",plustwo:"⨧",pm:"±",Poincareplane:"ℌ",pointint:"⨕",popf:"??",Popf:"ℙ",pound:"£",prap:"⪷",Pr:"⪻",pr:"≺",prcue:"≼",precapprox:"⪷",prec:"≺",preccurlyeq:"≼",Precedes:"≺",PrecedesEqual:"⪯",PrecedesSlantEqual:"≼",PrecedesTilde:"≾",preceq:"⪯",precnapprox:"⪹",precneqq:"⪵",precnsim:"⋨",pre:"⪯",prE:"⪳",precsim:"≾",prime:"′",Prime:"″",primes:"ℙ",prnap:"⪹",prnE:"⪵",prnsim:"⋨",prod:"∏",Product:"∏",profalar:"⌮",profline:"⌒",profsurf:"⌓",prop:"∝",Proportional:"∝",Proportion:"∷",propto:"∝",prsim:"≾",prurel:"⊰",Pscr:"??",pscr:"??",Psi:"Ψ",psi:"ψ",puncsp:" 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Z"),t.append("defs").append("marker").attr("id","dependencyEnd").attr("refX",19).attr("refY",7).attr("markerWidth",20).attr("markerHeight",28).attr("orient","auto").append("path").attr("d","M 18,7 L9,13 L14,7 L9,1 Z")},d=0,p=function(t,e,n){var i=function(t){switch(t){case r.relationType.AGGREGATION:return"aggregation";case r.relationType.EXTENSION:return"extension";case r.relationType.COMPOSITION:return"composition";case r.relationType.DEPENDENCY:return"dependency"}},u=e.points,o=a.svg.line().x(function(t){return t.x}).y(function(t){return t.y}).interpolate("basis"),s=t.append("path").attr("d",o(u)).attr("id","edge"+d).attr("class","relation"),c="";l.arrowMarkerAbsolute&&(c=window.location.protocol+"//"+window.location.host+window.location.pathname+window.location.search,c=c.replace(/\(/g,"\\("),c=c.replace(/\)/g,"\\)")),"none"!==n.relation.type1&&s.attr("marker-start","url("+c+"#"+i(n.relation.type1)+"Start)"),"none"!==n.relation.type2&&s.attr("marker-end","url("+c+"#"+i(n.relation.type2)+"End)");var h,f,p=e.points.length;if(p%2!==0){var g=e.points[Math.floor(p/2)],y=e.points[Math.ceil(p/2)];h=(g.x+y.x)/2,f=(g.y+y.y)/2}else{var m=e.points[Math.floor(p/2)];h=m.x,f=m.y}if("undefined"!=typeof n.title){var v=t.append("g").attr("class","classLabel"),_=v.append("text").attr("class","label").attr("x",h).attr("y",f).attr("fill","red").attr("text-anchor","middle").text(n.title);window.label=_;var b=_.node().getBBox();v.insert("rect",":first-child").attr("class","box").attr("x",b.x-l.padding/2).attr("y",b.y-l.padding/2).attr("width",b.width+2*l.padding/2).attr("height",b.height+2*l.padding/2)}d++},g=function(t,e){s.info("Rendering class "+e);var n=function(t,e,n){var r=t.append("tspan").attr("x",l.padding).text(e);n||r.attr("dy",l.textHeight)},r="classId"+c,a={id:r,label:e.id,width:0,height:0},u=t.append("g").attr("id",r).attr("class","classGroup"),o=u.append("text").attr("x",l.padding).attr("y",l.textHeight+l.padding).text(e.id),h=o.node().getBBox().height,f=u.append("line").attr("x1",0).attr("y1",l.padding+h+l.dividerMargin/2).attr("y2",l.padding+h+l.dividerMargin/2),d=u.append("text").attr("x",l.padding).attr("y",h+l.dividerMargin+l.textHeight).attr("fill","white").attr("class","classText"),p=!0;e.members.forEach(function(t){n(d,t,p),p=!1});var g=d.node().getBBox(),y=u.append("line").attr("x1",0).attr("y1",l.padding+h+3*l.dividerMargin/2+g.height).attr("y2",l.padding+h+3*l.dividerMargin/2+g.height),m=u.append("text").attr("x",l.padding).attr("y",h+2*l.dividerMargin+g.height+l.textHeight).attr("fill","white").attr("class","classText");p=!0,e.methods.forEach(function(t){n(m,t,p),p=!1});var v=u.node().getBBox();return u.insert("rect",":first-child").attr("x",0).attr("y",0).attr("width",v.width+2*l.padding).attr("height",v.height+l.padding+.5*l.dividerMargin),f.attr("x2",v.width+2*l.padding),y.attr("x2",v.width+2*l.padding),a.width=v.width+2*l.padding,a.height=v.height+l.padding+.5*l.dividerMargin,i[r]=a,c++,a};e.exports.setConf=function(t){var e=Object.keys(t);e.forEach(function(e){l[e]=t[e]})},e.exports.draw=function(t,e){n.yy.clear(),n.parse(t),s.info("Rendering diagram "+t);var i=a.select("#"+e);f(i);var u=new o.graphlib.Graph({multigraph:!0});u.setGraph({isMultiGraph:!0}),u.setDefaultEdgeLabel(function(){return{}});var c,l=r.getClasses(),d=Object.keys(l);for(c=0;c<d.length;c++){var y=l[d[c]],m=g(i,y);u.setNode(m.id,m),s.info("Org height: "+m.height)}var v=r.getRelations(),c=0;v.forEach(function(t){c+=1,s.info("tjoho"+h(t.id1)+h(t.id2)+JSON.stringify(t)),u.setEdge(h(t.id1),h(t.id2),{relation:t})}),o.layout(u),u.nodes().forEach(function(t){"undefined"!=typeof t&&(s.debug("Node "+t+": "+JSON.stringify(u.node(t))),a.select("#"+t).attr("transform","translate("+(u.node(t).x-u.node(t).width/2)+","+(u.node(t).y-u.node(t).height/2)+" )"))}),u.edges().forEach(function(t){s.debug("Edge "+t.v+" -> "+t.w+": "+JSON.stringify(u.edge(t))),p(i,u.edge(t),u.edge(t).relation)}),i.attr("height","100%"),i.attr("width","100%")}},{"../../d3":109,"../../logger":131,"./classDb":110,"./parser/classDiagram":112,dagre:54}],112:[function(t,e,n){(function(r){"use strict";var i=function(){function t(){this.yy={}}var e=function(t,e,n,r){for(n=n||{},r=t.length;r--;n[t[r]]=e);return n},n=[1,11],r=[1,12],i=[1,13],a=[1,15],u=[1,16],o=[1,17],s=[6,8],c=[1,26],l=[1,27],h=[1,28],f=[1,29],d=[1,30],p=[1,31],g=[6,8,13,17,23,26,27,28,29,30,31],y=[6,8,13,17,23,26,27,28,29,30,31,45,46,47],m=[23,45,46,47],v=[23,30,31,45,46,47],_=[23,26,27,28,29,45,46,47],b=[6,8,13],x=[1,46],w={trace:function(){},yy:{},symbols_:{error:2,mermaidDoc:3,graphConfig:4,CLASS_DIAGRAM:5,NEWLINE:6,statements:7,EOF:8,statement:9,className:10,alphaNumToken:11,relationStatement:12,LABEL:13,classStatement:14,methodStatement:15,CLASS:16,STRUCT_START:17,members:18,STRUCT_STOP:19,MEMBER:20,SEPARATOR:21,relation:22,STR:23,relationType:24,lineType:25,AGGREGATION:26,EXTENSION:27,COMPOSITION:28,DEPENDENCY:29,LINE:30,DOTTED_LINE:31,commentToken:32,textToken:33,graphCodeTokens:34,textNoTagsToken:35,TAGSTART:36,TAGEND:37,"==":38,"--":39,PCT:40,DEFAULT:41,SPACE:42,MINUS:43,keywords:44,UNICODE_TEXT:45,NUM:46,ALPHA:47,$accept:0,$end:1},terminals_:{2:"error",5:"CLASS_DIAGRAM",6:"NEWLINE",8:"EOF",13:"LABEL",16:"CLASS",17:"STRUCT_START",19:"STRUCT_STOP",20:"MEMBER",21:"SEPARATOR",23:"STR",26:"AGGREGATION",27:"EXTENSION",28:"COMPOSITION",29:"DEPENDENCY",30:"LINE",31:"DOTTED_LINE",34:"graphCodeTokens",36:"TAGSTART",37:"TAGEND",38:"==",39:"--",40:"PCT",41:"DEFAULT",42:"SPACE",43:"MINUS",44:"keywords",45:"UNICODE_TEXT",46:"NUM",47:"ALPHA"},productions_:[0,[3,1],[4,4],[7,1],[7,3],[10,2],[10,1],[9,1],[9,2],[9,1],[9,1],[14,2],[14,5],[18,1],[18,2],[15,1],[15,2],[15,1],[15,1],[12,3],[12,4],[12,4],[12,5],[22,3],[22,2],[22,2],[22,1],[24,1],[24,1],[24,1],[24,1],[25,1],[25,1],[32,1],[32,1],[33,1],[33,1],[33,1],[33,1],[33,1],[33,1],[33,1],[35,1],[35,1],[35,1],[35,1],[11,1],[11,1],[11,1]],performAction:function(t,e,n,r,i,a){var u=a.length-1;switch(i){case 5:this.$=a[u-1]+a[u];break;case 6:this.$=a[u];break;case 7:r.addRelation(a[u]);break;case 8:a[u-1].title=r.cleanupLabel(a[u]),r.addRelation(a[u-1]);break;case 12:r.addMembers(a[u-3],a[u-1]);break;case 13:
this.$=[a[u]];break;case 14:a[u].push(a[u-1]),this.$=a[u];break;case 15:break;case 16:r.addMembers(a[u-1],r.cleanupLabel(a[u]));break;case 17:console.warn("Member",a[u]);break;case 18:break;case 19:this.$={id1:a[u-2],id2:a[u],relation:a[u-1],relationTitle1:"none",relationTitle2:"none"};break;case 20:this.$={id1:a[u-3],id2:a[u],relation:a[u-1],relationTitle1:a[u-2],relationTitle2:"none"};break;case 21:this.$={id1:a[u-3],id2:a[u],relation:a[u-2],relationTitle1:"none",relationTitle2:a[u-1]};break;case 22:this.$={id1:a[u-4],id2:a[u],relation:a[u-2],relationTitle1:a[u-3],relationTitle2:a[u-1]};break;case 23:this.$={type1:a[u-2],type2:a[u],lineType:a[u-1]};break;case 24:this.$={type1:"none",type2:a[u],lineType:a[u-1]};break;case 25:this.$={type1:a[u-1],type2:"none",lineType:a[u]};break;case 26:this.$={type1:"none",type2:"none",lineType:a[u]};break;case 27:this.$=r.relationType.AGGREGATION;break;case 28:this.$=r.relationType.EXTENSION;break;case 29:this.$=r.relationType.COMPOSITION;break;case 30:this.$=r.relationType.DEPENDENCY;break;case 31:this.$=r.lineType.LINE;break;case 32:this.$=r.lineType.DOTTED_LINE}},table:[{3:1,4:2,5:[1,3]},{1:[3]},{1:[2,1]},{6:[1,4]},{7:5,9:6,10:10,11:14,12:7,14:8,15:9,16:n,20:r,21:i,45:a,46:u,47:o},{8:[1,18]},{6:[1,19],8:[2,3]},e(s,[2,7],{13:[1,20]}),e(s,[2,9]),e(s,[2,10]),e(s,[2,15],{22:21,24:24,25:25,13:[1,23],23:[1,22],26:c,27:l,28:h,29:f,30:d,31:p}),{10:32,11:14,45:a,46:u,47:o},e(s,[2,17]),e(s,[2,18]),e(g,[2,6],{11:14,10:33,45:a,46:u,47:o}),e(y,[2,46]),e(y,[2,47]),e(y,[2,48]),{1:[2,2]},{7:34,9:6,10:10,11:14,12:7,14:8,15:9,16:n,20:r,21:i,45:a,46:u,47:o},e(s,[2,8]),{10:35,11:14,23:[1,36],45:a,46:u,47:o},{22:37,24:24,25:25,26:c,27:l,28:h,29:f,30:d,31:p},e(s,[2,16]),{25:38,30:d,31:p},e(m,[2,26],{24:39,26:c,27:l,28:h,29:f}),e(v,[2,27]),e(v,[2,28]),e(v,[2,29]),e(v,[2,30]),e(_,[2,31]),e(_,[2,32]),e(s,[2,11],{17:[1,40]}),e(g,[2,5]),{8:[2,4]},e(b,[2,19]),{10:41,11:14,45:a,46:u,47:o},{10:42,11:14,23:[1,43],45:a,46:u,47:o},e(m,[2,25],{24:44,26:c,27:l,28:h,29:f}),e(m,[2,24]),{18:45,20:x},e(b,[2,21]),e(b,[2,20]),{10:47,11:14,45:a,46:u,47:o},e(m,[2,23]),{19:[1,48]},{18:49,19:[2,13],20:x},e(b,[2,22]),e(s,[2,12]),{19:[2,14]}],defaultActions:{2:[2,1],18:[2,2],34:[2,4],49:[2,14]},parseError:function(t,e){if(!e.recoverable){var n=function(t,e){this.message=t,this.hash=e};throw n.prototype=Error,new n(t,e)}this.trace(t)},parse:function(t){var e=this,n=[0],r=[null],i=[],a=this.table,u="",o=0,s=0,c=0,l=2,h=1,f=i.slice.call(arguments,1),d=Object.create(this.lexer),p={yy:{}};for(var g in this.yy)Object.prototype.hasOwnProperty.call(this.yy,g)&&(p.yy[g]=this.yy[g]);d.setInput(t,p.yy),p.yy.lexer=d,p.yy.parser=this,"undefined"==typeof d.yylloc&&(d.yylloc={});var y=d.yylloc;i.push(y);var m=d.options&&d.options.ranges;this.parseError="function"==typeof p.yy.parseError?p.yy.parseError:Object.getPrototypeOf(this).parseError;for(var v,_,b,x,w,A,k,E,D,S=function(){var t;return t=d.lex()||h,"number"!=typeof t&&(t=e.symbols_[t]||t),t},C={};;){if(b=n[n.length-1],this.defaultActions[b]?x=this.defaultActions[b]:((null===v||"undefined"==typeof v)&&(v=S()),x=a[b]&&a[b][v]),"undefined"==typeof x||!x.length||!x[0]){var M="";D=[];for(A in a[b])this.terminals_[A]&&A>l&&D.push("'"+this.terminals_[A]+"'");M=d.showPosition?"Parse error on line "+(o+1)+":\n"+d.showPosition()+"\nExpecting "+D.join(", ")+", got '"+(this.terminals_[v]||v)+"'":"Parse error on line "+(o+1)+": Unexpected "+(v==h?"end of input":"'"+(this.terminals_[v]||v)+"'"),this.parseError(M,{text:d.match,token:this.terminals_[v]||v,line:d.yylineno,loc:y,expected:D})}if(x[0]instanceof Array&&x.length>1)throw new Error("Parse Error: multiple actions possible at state: "+b+", token: "+v);switch(x[0]){case 1:n.push(v),r.push(d.yytext),i.push(d.yylloc),n.push(x[1]),v=null,_?(v=_,_=null):(s=d.yyleng,u=d.yytext,o=d.yylineno,y=d.yylloc,c>0&&c--);break;case 2:if(k=this.productions_[x[1]][1],C.$=r[r.length-k],C._$={first_line:i[i.length-(k||1)].first_line,last_line:i[i.length-1].last_line,first_column:i[i.length-(k||1)].first_column,last_column:i[i.length-1].last_column},m&&(C._$.range=[i[i.length-(k||1)].range[0],i[i.length-1].range[1]]),w=this.performAction.apply(C,[u,s,o,p.yy,x[1],r,i].concat(f)),"undefined"!=typeof w)return w;k&&(n=n.slice(0,-1*k*2),r=r.slice(0,-1*k),i=i.slice(0,-1*k)),n.push(this.productions_[x[1]][0]),r.push(C.$),i.push(C._$),E=a[n[n.length-2]][n[n.length-1]],n.push(E);break;case 3:return!0}}return!0}},A=function(){var t={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t;var e=t.match(/(?:\r\n?|\n).*/g);return e?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var r=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var i=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===r.length?this.yylloc.first_column:0)+r[r.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[i[0],i[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var n,r,i;if(this.options.backtrack_lexer&&(i={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(i.yylloc.range=this.yylloc.range.slice(0))),r=t[0].match(/(?:\r\n?|\n).*/g),r&&(this.yylineno+=r.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:r?r[r.length-1].length-r[r.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in i)this[a]=i[a];return!1}return!1},next:function(){if(this.done)return this.EOF;this._input||(this.done=!0);var t,e,n,r;this._more||(this.yytext="",this.match="");for(var i=this._currentRules(),a=0;a<i.length;a++)if(n=this._input.match(this.rules[i[a]]),n&&(!e||n[0].length>e[0].length)){if(e=n,r=a,this.options.backtrack_lexer){if(t=this.test_match(n,i[a]),t!==!1)return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?(t=this.test_match(e,i[r]),t!==!1?t:!1):""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t?t:this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){var t=this.conditionStack.length-1;return t>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return t=this.conditionStack.length-1-Math.abs(t||0),t>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{},performAction:function(t,e,n,r){switch(n){case 0:break;case 1:return 6;case 2:break;case 3:return 5;case 4:return this.begin("struct"),17;case 5:return this.popState(),19;case 6:break;case 7:return"MEMBER";case 8:return 16;case 9:this.begin("string");break;case 10:this.popState();break;case 11:return"STR";case 12:return 27;case 13:return 27;case 14:return 29;case 15:return 29;case 16:return 28;case 17:return 26;case 18:return 30;case 19:return 31;case 20:return 13;case 21:return 43;case 22:return"DOT";case 23:return"PLUS";case 24:return 40;case 25:return"EQUALS";case 26:return"EQUALS";case 27:return 47;case 28:return"PUNCTUATION";case 29:return 46;case 30:return 45;case 31:return 42;case 32:return 8}},rules:[/^(?:%%[^\n]*)/,/^(?:\n+)/,/^(?:\s+)/,/^(?:classDiagram\b)/,/^(?:[\{])/,/^(?:\})/,/^(?:[\n])/,/^(?:[^\{\}\n]*)/,/^(?:class\b)/,/^(?:["])/,/^(?:["])/,/^(?:[^"]*)/,/^(?:\s*<\|)/,/^(?:\s*\|>)/,/^(?:\s*>)/,/^(?:\s*<)/,/^(?:\s*\*)/,/^(?:\s*o\b)/,/^(?:--)/,/^(?:\.\.)/,/^(?::[^#\n;]+)/,/^(?:-)/,/^(?:\.)/,/^(?:\+)/,/^(?:%)/,/^(?:=)/,/^(?:=)/,/^(?:[A-Za-z]+)/,/^(?:[!"#$%&'*+,-.`?\\_\/])/,/^(?:[0-9]+)/,/^(?:[\u00AA\u00B5\u00BA\u00C0-\u00D6\u00D8-\u00F6]|[\u00F8-\u02C1\u02C6-\u02D1\u02E0-\u02E4\u02EC\u02EE\u0370-\u0374\u0376\u0377]|[\u037A-\u037D\u0386\u0388-\u038A\u038C\u038E-\u03A1\u03A3-\u03F5]|[\u03F7-\u0481\u048A-\u0527\u0531-\u0556\u0559\u0561-\u0587\u05D0-\u05EA]|[\u05F0-\u05F2\u0620-\u064A\u066E\u066F\u0671-\u06D3\u06D5\u06E5\u06E6\u06EE]|[\u06EF\u06FA-\u06FC\u06FF\u0710\u0712-\u072F\u074D-\u07A5\u07B1\u07CA-\u07EA]|[\u07F4\u07F5\u07FA\u0800-\u0815\u081A\u0824\u0828\u0840-\u0858\u08A0]|[\u08A2-\u08AC\u0904-\u0939\u093D\u0950\u0958-\u0961\u0971-\u0977]|[\u0979-\u097F\u0985-\u098C\u098F\u0990\u0993-\u09A8\u09AA-\u09B0\u09B2]|[\u09B6-\u09B9\u09BD\u09CE\u09DC\u09DD\u09DF-\u09E1\u09F0\u09F1\u0A05-\u0A0A]|[\u0A0F\u0A10\u0A13-\u0A28\u0A2A-\u0A30\u0A32\u0A33\u0A35\u0A36\u0A38\u0A39]|[\u0A59-\u0A5C\u0A5E\u0A72-\u0A74\u0A85-\u0A8D\u0A8F-\u0A91\u0A93-\u0AA8]|[\u0AAA-\u0AB0\u0AB2\u0AB3\u0AB5-\u0AB9\u0ABD\u0AD0\u0AE0\u0AE1\u0B05-\u0B0C]|[\u0B0F\u0B10\u0B13-\u0B28\u0B2A-\u0B30\u0B32\u0B33\u0B35-\u0B39\u0B3D\u0B5C]|[\u0B5D\u0B5F-\u0B61\u0B71\u0B83\u0B85-\u0B8A\u0B8E-\u0B90\u0B92-\u0B95\u0B99]|[\u0B9A\u0B9C\u0B9E\u0B9F\u0BA3\u0BA4\u0BA8-\u0BAA\u0BAE-\u0BB9\u0BD0]|[\u0C05-\u0C0C\u0C0E-\u0C10\u0C12-\u0C28\u0C2A-\u0C33\u0C35-\u0C39\u0C3D]|[\u0C58\u0C59\u0C60\u0C61\u0C85-\u0C8C\u0C8E-\u0C90\u0C92-\u0CA8\u0CAA-\u0CB3]|[\u0CB5-\u0CB9\u0CBD\u0CDE\u0CE0\u0CE1\u0CF1\u0CF2\u0D05-\u0D0C\u0D0E-\u0D10]|[\u0D12-\u0D3A\u0D3D\u0D4E\u0D60\u0D61\u0D7A-\u0D7F\u0D85-\u0D96\u0D9A-\u0DB1]|[\u0DB3-\u0DBB\u0DBD\u0DC0-\u0DC6\u0E01-\u0E30\u0E32\u0E33\u0E40-\u0E46\u0E81]|[\u0E82\u0E84\u0E87\u0E88\u0E8A\u0E8D\u0E94-\u0E97\u0E99-\u0E9F\u0EA1-\u0EA3]|[\u0EA5\u0EA7\u0EAA\u0EAB\u0EAD-\u0EB0\u0EB2\u0EB3\u0EBD\u0EC0-\u0EC4\u0EC6]|[\u0EDC-\u0EDF\u0F00\u0F40-\u0F47\u0F49-\u0F6C\u0F88-\u0F8C\u1000-\u102A]|[\u103F\u1050-\u1055\u105A-\u105D\u1061\u1065\u1066\u106E-\u1070\u1075-\u1081]|[\u108E\u10A0-\u10C5\u10C7\u10CD\u10D0-\u10FA\u10FC-\u1248\u124A-\u124D]|[\u1250-\u1256\u1258\u125A-\u125D\u1260-\u1288\u128A-\u128D\u1290-\u12B0]|[\u12B2-\u12B5\u12B8-\u12BE\u12C0\u12C2-\u12C5\u12C8-\u12D6\u12D8-\u1310]|[\u1312-\u1315\u1318-\u135A\u1380-\u138F\u13A0-\u13F4\u1401-\u166C]|[\u166F-\u167F\u1681-\u169A\u16A0-\u16EA\u1700-\u170C\u170E-\u1711]|[\u1720-\u1731\u1740-\u1751\u1760-\u176C\u176E-\u1770\u1780-\u17B3\u17D7]|[\u17DC\u1820-\u1877\u1880-\u18A8\u18AA\u18B0-\u18F5\u1900-\u191C]|[\u1950-\u196D\u1970-\u1974\u1980-\u19AB\u19C1-\u19C7\u1A00-\u1A16]|[\u1A20-\u1A54\u1AA7\u1B05-\u1B33\u1B45-\u1B4B\u1B83-\u1BA0\u1BAE\u1BAF]|[\u1BBA-\u1BE5\u1C00-\u1C23\u1C4D-\u1C4F\u1C5A-\u1C7D\u1CE9-\u1CEC]|[\u1CEE-\u1CF1\u1CF5\u1CF6\u1D00-\u1DBF\u1E00-\u1F15\u1F18-\u1F1D]|[\u1F20-\u1F45\u1F48-\u1F4D\u1F50-\u1F57\u1F59\u1F5B\u1F5D\u1F5F-\u1F7D]|[\u1F80-\u1FB4\u1FB6-\u1FBC\u1FBE\u1FC2-\u1FC4\u1FC6-\u1FCC\u1FD0-\u1FD3]|[\u1FD6-\u1FDB\u1FE0-\u1FEC\u1FF2-\u1FF4\u1FF6-\u1FFC\u2071\u207F]|[\u2090-\u209C\u2102\u2107\u210A-\u2113\u2115\u2119-\u211D\u2124\u2126\u2128]|[\u212A-\u212D\u212F-\u2139\u213C-\u213F\u2145-\u2149\u214E\u2183\u2184]|[\u2C00-\u2C2E\u2C30-\u2C5E\u2C60-\u2CE4\u2CEB-\u2CEE\u2CF2\u2CF3]|[\u2D00-\u2D25\u2D27\u2D2D\u2D30-\u2D67\u2D6F\u2D80-\u2D96\u2DA0-\u2DA6]|[\u2DA8-\u2DAE\u2DB0-\u2DB6\u2DB8-\u2DBE\u2DC0-\u2DC6\u2DC8-\u2DCE]|[\u2DD0-\u2DD6\u2DD8-\u2DDE\u2E2F\u3005\u3006\u3031-\u3035\u303B\u303C]|[\u3041-\u3096\u309D-\u309F\u30A1-\u30FA\u30FC-\u30FF\u3105-\u312D]|[\u3131-\u318E\u31A0-\u31BA\u31F0-\u31FF\u3400-\u4DB5\u4E00-\u9FCC]|[\uA000-\uA48C\uA4D0-\uA4FD\uA500-\uA60C\uA610-\uA61F\uA62A\uA62B]|[\uA640-\uA66E\uA67F-\uA697\uA6A0-\uA6E5\uA717-\uA71F\uA722-\uA788]|[\uA78B-\uA78E\uA790-\uA793\uA7A0-\uA7AA\uA7F8-\uA801\uA803-\uA805]|[\uA807-\uA80A\uA80C-\uA822\uA840-\uA873\uA882-\uA8B3\uA8F2-\uA8F7\uA8FB]|[\uA90A-\uA925\uA930-\uA946\uA960-\uA97C\uA984-\uA9B2\uA9CF\uAA00-\uAA28]|[\uAA40-\uAA42\uAA44-\uAA4B\uAA60-\uAA76\uAA7A\uAA80-\uAAAF\uAAB1\uAAB5]|[\uAAB6\uAAB9-\uAABD\uAAC0\uAAC2\uAADB-\uAADD\uAAE0-\uAAEA\uAAF2-\uAAF4]|[\uAB01-\uAB06\uAB09-\uAB0E\uAB11-\uAB16\uAB20-\uAB26\uAB28-\uAB2E]|[\uABC0-\uABE2\uAC00-\uD7A3\uD7B0-\uD7C6\uD7CB-\uD7FB\uF900-\uFA6D]|[\uFA70-\uFAD9\uFB00-\uFB06\uFB13-\uFB17\uFB1D\uFB1F-\uFB28\uFB2A-\uFB36]|[\uFB38-\uFB3C\uFB3E\uFB40\uFB41\uFB43\uFB44\uFB46-\uFBB1\uFBD3-\uFD3D]|[\uFD50-\uFD8F\uFD92-\uFDC7\uFDF0-\uFDFB\uFE70-\uFE74\uFE76-\uFEFC]|[\uFF21-\uFF3A\uFF41-\uFF5A\uFF66-\uFFBE\uFFC2-\uFFC7\uFFCA-\uFFCF]|[\uFFD2-\uFFD7\uFFDA-\uFFDC])/,/^(?:\s)/,/^(?:$)/],conditions:{string:{rules:[10,11],inclusive:!1},struct:{rules:[5,6,7],inclusive:!1},INITIAL:{rules:[0,1,2,3,4,8,9,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32],inclusive:!0}}};return t}();return w.lexer=A,t.prototype=w,w.Parser=t,new t}();"undefined"!=typeof t&&"undefined"!=typeof n&&(n.parser=i,n.Parser=i.Parser,n.parse=function(){return i.parse.apply(i,arguments)},n.main=function(e){e[1]||(console.log("Usage: "+e[0]+" FILE"),r.exit(1));var i=t("fs").readFileSync(t("path").normalize(e[1]),"utf8");return n.parser.parse(i)},"undefined"!=typeof e&&t.main===e&&n.main(r.argv.slice(1)))}).call(this,t("_process"))},{_process:3,fs:1,path:2}],113:[function(t,e,n){(function(e){"use strict";var r=t("../../logger"),i=new r.Log,a="",u=!1;n.setMessage=function(t){i.debug("Setting message to: "+t),a=t},n.getMessage=function(){return a},n.setInfo=function(t){u=t},n.getInfo=function(){return u},n.parseError=function(t,n){e.mermaidAPI.parseError(t,n)}}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"../../logger":131}],114:[function(t,e,n){"use strict";var r=t("./exampleDb"),i=t("./parser/example.js"),a=t("../../d3"),u=t("../../logger"),o=new u.Log;n.draw=function(t,e,n){var u;u=i.parser,u.yy=r,o.debug("Renering example diagram"),u.parse(t);var s=a.select("#"+e),c=s.append("g");c.append("text").attr("x",100).attr("y",40).attr("class","version").attr("font-size","32px").style("text-anchor","middle").text("mermaid "+n),s.attr("height",100),s.attr("width",400)}},{"../../d3":109,"../../logger":131,"./exampleDb":113,"./parser/example.js":115}],115:[function(t,e,n){(function(r){"use strict";var i=function(){function t(){this.yy={}}var e=function(t,e,n,r){for(n=n||{},r=t.length;r--;n[t[r]]=e);return n},n=[6,9,10,12],r={trace:function(){},yy:{},symbols_:{error:2,start:3,info:4,document:5,EOF:6,line:7,statement:8,NL:9,showInfo:10,message:11,say:12,TXT:13,$accept:0,$end:1},terminals_:{2:"error",4:"info",6:"EOF",9:"NL",10:"showInfo",12:"say",13:"TXT"},productions_:[0,[3,3],[5,0],[5,2],[7,1],[7,1],[8,1],[8,1],[11,2]],performAction:function(t,e,n,r,i,a){var u=a.length-1;switch(i){case 1:return r;case 4:break;case 6:r.setInfo(!0);break;case 7:r.setMessage(a[u]);break;case 8:this.$=a[u-1].substring(1).trim().replace(/\\n/gm,"\n")}},table:[{3:1,4:[1,2]},{1:[3]},e(n,[2,2],{5:3}),{6:[1,4],7:5,8:6,9:[1,7],10:[1,8],11:9,12:[1,10]},{1:[2,1]},e(n,[2,3]),e(n,[2,4]),e(n,[2,5]),e(n,[2,6]),e(n,[2,7]),{13:[1,11]},e(n,[2,8])],defaultActions:{4:[2,1]},parseError:function(t,e){if(!e.recoverable){var n=function(t,e){this.message=t,this.hash=e};throw n.prototype=Error,new n(t,e)}this.trace(t)},parse:function(t){var e=this,n=[0],r=[null],i=[],a=this.table,u="",o=0,s=0,c=0,l=2,h=1,f=i.slice.call(arguments,1),d=Object.create(this.lexer),p={yy:{}};for(var g in this.yy)Object.prototype.hasOwnProperty.call(this.yy,g)&&(p.yy[g]=this.yy[g]);d.setInput(t,p.yy),p.yy.lexer=d,p.yy.parser=this,"undefined"==typeof d.yylloc&&(d.yylloc={});var y=d.yylloc;i.push(y);var m=d.options&&d.options.ranges;this.parseError="function"==typeof p.yy.parseError?p.yy.parseError:Object.getPrototypeOf(this).parseError;for(var v,_,b,x,w,A,k,E,D,S=function(){var t;return t=d.lex()||h,"number"!=typeof t&&(t=e.symbols_[t]||t),t},C={};;){if(b=n[n.length-1],this.defaultActions[b]?x=this.defaultActions[b]:((null===v||"undefined"==typeof v)&&(v=S()),x=a[b]&&a[b][v]),"undefined"==typeof x||!x.length||!x[0]){var M="";D=[];for(A in a[b])this.terminals_[A]&&A>l&&D.push("'"+this.terminals_[A]+"'");M=d.showPosition?"Parse error on line "+(o+1)+":\n"+d.showPosition()+"\nExpecting "+D.join(", ")+", got '"+(this.terminals_[v]||v)+"'":"Parse 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w;k&&(n=n.slice(0,-1*k*2),r=r.slice(0,-1*k),i=i.slice(0,-1*k)),n.push(this.productions_[x[1]][0]),r.push(C.$),i.push(C._$),E=a[n[n.length-2]][n[n.length-1]],n.push(E);break;case 3:return!0}}return!0}},i=function(){var t={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t;var e=t.match(/(?:\r\n?|\n).*/g);return e?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var r=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var i=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===r.length?this.yylloc.first_column:0)+r[r.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[i[0],i[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var n,r,i;if(this.options.backtrack_lexer&&(i={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(i.yylloc.range=this.yylloc.range.slice(0))),r=t[0].match(/(?:\r\n?|\n).*/g),r&&(this.yylineno+=r.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:r?r[r.length-1].length-r[r.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in i)this[a]=i[a];return!1}return!1},next:function(){if(this.done)return this.EOF;this._input||(this.done=!0);var t,e,n,r;this._more||(this.yytext="",this.match="");for(var i=this._currentRules(),a=0;a<i.length;a++)if(n=this._input.match(this.rules[i[a]]),n&&(!e||n[0].length>e[0].length)){if(e=n,r=a,this.options.backtrack_lexer){if(t=this.test_match(n,i[a]),t!==!1)return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?(t=this.test_match(e,i[r]),t!==!1?t:!1):""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t?t:this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){var t=this.conditionStack.length-1;return t>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return t=this.conditionStack.length-1-Math.abs(t||0),t>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{"case-insensitive":!0},performAction:function(t,e,n,r){switch(n){case 0:return 9;case 1:return 10;case 2:return 4;case 3:return 12;case 4:return 13;case 5:return 6;case 6:return"INVALID"}},rules:[/^(?:[\n]+)/i,/^(?:showInfo\b)/i,/^(?:info\b)/i,/^(?:say\b)/i,/^(?::[^#\n;]+)/i,/^(?:$)/i,/^(?:.)/i],conditions:{INITIAL:{rules:[0,1,2,3,4,5,6],inclusive:!0}}};return t}();return r.lexer=i,t.prototype=r,r.Parser=t,new t}();"undefined"!=typeof t&&"undefined"!=typeof n&&(n.parser=i,n.Parser=i.Parser,n.parse=function(){return i.parse.apply(i,arguments)},n.main=function(e){e[1]||(console.log("Usage: "+e[0]+" FILE"),r.exit(1));var i=t("fs").readFileSync(t("path").normalize(e[1]),"utf8");return n.parser.parse(i)},"undefined"!=typeof e&&t.main===e&&n.main(r.argv.slice(1)))}).call(this,t("_process"))},{_process:3,fs:1,path:2}],116:[function(t,e){"use strict";var n,r=t("../../logger"),i=new r.Log;if(t)try{n=t("dagre-d3")}catch(a){i.debug("Could not load dagre-d3")}n||(n=window.dagreD3),e.exports=n},{"../../logger":131,"dagre-d3":5}],117:[function(t,e,n){"use strict";var r=t("./graphDb"),i=t("./parser/flow"),a=t("./parser/dot"),u=t("../../d3"),o=t("./dagre-d3"),s=t("../../logger"),c=new s.Log,l={};e.exports.setConf=function(t){var e,n=Object.keys(t);for(e=0;e<n.length;e++)l[n[e]]=t[n[e]]},n.addVertices=function(t,e){var n=Object.keys(t),r=function(t,e){var n;for(n=0;n<e.length;n++)"undefined"!=typeof e[n]&&(t=t+e[n]+";");return t};n.forEach(function(n){var i,a=t[n],u="";a.classes.length>0&&(u=a.classes.join(" "));var o="";o=r(o,a.styles),i="undefined"==typeof a.text?a.id:a.text;var s="";if(l.htmlLabels)s="html",i=i.replace(/fa:fa[\w\-]+/g,function(t){return'<i class="fa '+t.substring(3)+'"></i>'});else{var c=document.createElementNS("http://www.w3.org/2000/svg","text"),h=i.split(/<br>/),f=0;for(f=0;f<h.length;f++){var d=document.createElementNS("http://www.w3.org/2000/svg","tspan");d.setAttributeNS("http://www.w3.org/XML/1998/namespace","xml:space","preserve"),d.setAttribute("dy","1em"),d.setAttribute("x","1"),d.textContent=h[f],c.appendChild(d)}s="svg",i=c}var p=0,g="";switch(a.type){case"round":p=5,g="rect";break;case"square":g="rect";break;case"diamond":g="question";break;case"odd":g="rect_left_inv_arrow";break;case"odd_right":g="rect_left_inv_arrow";break;case"circle":g="circle";break;case"ellipse":g="ellipse";break;case"group":g="rect",i="";break;default:g="rect"}e.setNode(a.id,{labelType:s,shape:g,label:i,rx:p,ry:p,"class":u,style:o,id:a.id})})},n.addEdges=function(t,e){var n,r=0;"undefined"!=typeof t.defaultStyle&&(n=t.defaultStyle.toString().replace(/,/g,";")),t.forEach(function(i){r++;var a={};a.arrowhead="arrow_open"===i.type?"none":"normal";var u="";if("undefined"!=typeof i.style)i.style.forEach(function(t){u=u+t+";"});else switch(i.stroke){case"normal":u="fill:none","undefined"!=typeof n&&(u=n);break;case"dotted":u="stroke: #333; fill:none;stroke-width:2px;stroke-dasharray:3;";break;case"thick":u="stroke: #333; stroke-width: 3.5px;fill:none"}a.style=u,"undefined"!=typeof i.interpolate?a.lineInterpolate=i.interpolate:"undefined"!=typeof t.defaultInterpolate&&(a.lineInterpolate=t.defaultInterpolate),"undefined"==typeof i.text?"undefined"!=typeof i.style&&(a.arrowheadStyle="fill: #333"):(a.arrowheadStyle="fill: #333","undefined"==typeof i.style?(a.labelpos="c",l.htmlLabels?(a.labelType="html",a.label='<span class="edgeLabel">'+i.text+"</span>"):(a.labelType="text",a.style="stroke: #333; stroke-width: 1.5px;fill:none",a.label=i.text.replace(/<br>/g,"\n"))):a.label=i.text.replace(/<br>/g,"\n")),e.setEdge(i.start,i.end,a,r)})},n.getClasses=function(t,e){var n;r.clear(),n=e?a.parser:i.parser,n.yy=r,n.parse(t);var u=r.getClasses();return"undefined"==typeof u["default"]&&(u["default"]={id:"default"},u["default"].styles=[],u["default"].clusterStyles=["rx:4px","fill: rgb(255, 255, 222)","rx: 4px","stroke: rgb(170, 170, 51)","stroke-width: 1px"],u["default"].nodeLabelStyles=["fill:#000","stroke:none","font-weight:300",'font-family:"Helvetica Neue",Helvetica,Arial,sans-serf',"font-size:14px"],u["default"].edgeLabelStyles=["fill:#000","stroke:none","font-weight:300",'font-family:"Helvetica Neue",Helvetica,Arial,sans-serf',"font-size:14px"]),u},n.draw=function(t,e,s){c.debug("Drawing flowchart");var h;r.clear(),h=s?a.parser:i.parser,h.yy=r;try{h.parse(t)}catch(f){c.debug("Parsing failed")}var d;d=r.getDirection(),"undefined"==typeof d&&(d="TD");var p,g=new o.graphlib.Graph({multigraph:!0,compound:!0}).setGraph({rankdir:d,marginx:20,marginy:20}).setDefaultEdgeLabel(function(){return{}}),y=r.getSubGraphs(),m=0;for(m=y.length-1;m>=0;m--)p=y[m],r.addVertex(p.id,p.title,"group",void 0);var v=r.getVertices(),_=r.getEdges();m=0;var b;for(m=y.length-1;m>=0;m--)for(p=y[m],u.selectAll("cluster").append("text"),b=0;b<p.nodes.length;b++)g.setParent(p.nodes[b],p.id);n.addVertices(v,g),n.addEdges(_,g);var x=new o.render;x.shapes().question=function(t,e,n){var r=e.width,i=e.height,a=.8*(r+i),u=[{x:a/2,y:0},{x:a,y:-a/2},{x:a/2,y:-a},{x:0,y:-a/2}],s=t.insert("polygon",":first-child").attr("points",u.map(function(t){return t.x+","+t.y}).join(" ")).attr("rx",5).attr("ry",5).attr("transform","translate("+-a/2+","+2*a/4+")");return n.intersect=function(t){return o.intersect.polygon(n,u,t)},s},x.shapes().rect_left_inv_arrow=function(t,e,n){var r=e.width,i=e.height,a=[{x:-i/2,y:0},{x:r,y:0},{x:r,y:-i},{x:-i/2,y:-i},{x:0,y:-i/2}],u=t.insert("polygon",":first-child").attr("points",a.map(function(t){return t.x+","+t.y}).join(" ")).attr("transform","translate("+-r/2+","+2*i/4+")");return n.intersect=function(t){return o.intersect.polygon(n,a,t)},u},x.shapes().rect_right_inv_arrow=function(t,e,n){var r=e.width,i=e.height,a=[{x:0,y:0},{x:r+i/2,y:0},{x:r,y:-i/2},{x:r+i/2,y:-i},{x:0,y:-i}],u=t.insert("polygon",":first-child").attr("points",a.map(function(t){return t.x+","+t.y}).join(" ")).attr("transform","translate("+-r/2+","+2*i/4+")");return n.intersect=function(t){return o.intersect.polygon(n,a,t)},u},x.arrows().none=function(t,e,n,r){var i=t.append("marker").attr("id",e).attr("viewBox","0 0 10 10").attr("refX",9).attr("refY",5).attr("markerUnits","strokeWidth").attr("markerWidth",8).attr("markerHeight",6).attr("orient","auto"),a=i.append("path").attr("d","M 0 0 L 0 0 L 0 0 z");o.util.applyStyle(a,n[r+"Style"])};var w=u.select("#"+e),A=u.select("#"+e+" g");for(x(A,g),A.selectAll("g.node").attr("title",function(){return r.getTooltip(this.id)}),l.useMaxWidth?(w.attr("height","100%"),w.attr("width",l.width),w.attr("viewBox","0 0 "+(g.graph().width+20)+" "+(g.graph().height+20)),w.attr("style","max-width:"+(g.graph().width+20)+"px;")):(w.attr("height",g.graph().height),"undefined"==typeof l.width?w.attr("width",g.graph().width):w.attr("width",l.width),w.attr("viewBox","0 0 "+(g.graph().width+20)+" "+(g.graph().height+20))),r.indexNodes("subGraph"+m),m=0;m<y.length;m++)if(p=y[m],"undefined"!==p.title){var k=document.querySelectorAll("#"+e+" #"+p.id+" rect"),E=document.querySelectorAll("#"+e+" #"+p.id),D=k[0].x.baseVal.value,S=k[0].y.baseVal.value,C=k[0].width.baseVal.value,M=u.select(E[0]),T=M.append("text");T.attr("x",D+C/2),T.attr("y",S+14),T.attr("fill","black"),T.attr("stroke","none"),T.attr("id",e+"Text"),T.style("text-anchor","middle"),T.text("undefined"==typeof p.title?"Undef":p.title)}if(!l.htmlLabels){var m,F=document.querySelectorAll("#"+e+" .edgeLabel .label");for(m=0;m<F.length;m++){var L=F[m],B=L.getBBox(),O=document.createElementNS("http://www.w3.org/2000/svg","rect");O.setAttribute("rx",0),
O.setAttribute("ry",0),O.setAttribute("width",B.width),O.setAttribute("height",B.height),O.setAttribute("style","fill:#e8e8e8;"),L.insertBefore(O,L.firstChild)}}}},{"../../d3":109,"../../logger":131,"./dagre-d3":116,"./graphDb":118,"./parser/dot":119,"./parser/flow":120}],118:[function(require,module,exports){(function(global){"use strict";var Logger=require("../../logger"),log=new Logger.Log,d3=require("../../d3"),vertices={},edges=[],classes=[],subGraphs=[],tooltips={},subCount=0,direction,funs=[];exports.addVertex=function(t,e,n,r){var i;"undefined"!=typeof t&&0!==t.trim().length&&("undefined"==typeof vertices[t]&&(vertices[t]={id:t,styles:[],classes:[]}),"undefined"!=typeof e&&(i=e.trim(),'"'===i[0]&&'"'===i[i.length-1]&&(i=i.substring(1,i.length-1)),vertices[t].text=i),"undefined"!=typeof n&&(vertices[t].type=n),"undefined"!=typeof n&&(vertices[t].type=n),"undefined"!=typeof r&&null!==r&&r.forEach(function(e){vertices[t].styles.push(e)}))},exports.addLink=function(t,e,n,r){log.debug("Got edge",t,e);var i={start:t,end:e,type:void 0,text:""};r=n.text,"undefined"!=typeof r&&(i.text=r.trim(),'"'===i.text[0]&&'"'===i.text[i.text.length-1]&&(i.text=i.text.substring(1,i.text.length-1))),"undefined"!=typeof n&&(i.type=n.type,i.stroke=n.stroke),edges.push(i)},exports.updateLinkInterpolate=function(t,e){"default"===t?edges.defaultInterpolate=e:edges[t].interpolate=e},exports.updateLink=function(t,e){"default"===t?edges.defaultStyle=e:edges[t].style=e},exports.addClass=function(t,e){"undefined"==typeof classes[t]&&(classes[t]={id:t,styles:[]}),"undefined"!=typeof e&&null!==e&&e.forEach(function(e){classes[t].styles.push(e)})},exports.setDirection=function(t){direction=t},exports.setClass=function(t,e){t.indexOf(",")>0?t.split(",").forEach(function(t){"undefined"!=typeof vertices[t]&&vertices[t].classes.push(e)}):"undefined"!=typeof vertices[t]&&vertices[t].classes.push(e)};var setTooltip=function(t,e){"undefined"!=typeof e&&(tooltips[t]=e)},setClickFun=function setClickFun(id,functionName){"undefined"!=typeof functionName&&"undefined"!=typeof vertices[id]&&funs.push(function(element){var elem=d3.select(element).select("#"+id);null!==elem&&elem.on("click",function(){eval(functionName+"('"+id+"')")})})},setLink=function(t,e){"undefined"!=typeof e&&"undefined"!=typeof vertices[t]&&funs.push(function(n){var r=d3.select(n).select("#"+t);null!==r&&r.on("click",function(){window.open(e,"newTab")})})};exports.getTooltip=function(t){return tooltips[t]},exports.setClickEvent=function(t,e,n,r){t.indexOf(",")>0?t.split(",").forEach(function(t){setTooltip(t,r),setClickFun(t,e),setLink(t,n)}):(setTooltip(t,r),setClickFun(t,e),setLink(t,n))},exports.bindFunctions=function(t){funs.forEach(function(e){e(t)})},exports.getDirection=function(){return direction},exports.getVertices=function(){return vertices},exports.getEdges=function(){return edges},exports.getClasses=function(){return classes};var setupToolTips=function(t){var e=d3.select(".mermaidTooltip");null===e[0][0]&&(e=d3.select("body").append("div").attr("class","mermaidTooltip").style("opacity",0));var n=d3.select(t).select("svg"),r=n.selectAll("g.node");r.on("mouseover",function(){var t=d3.select(this),n=t.attr("title");if(null!==n){var r=this.getBoundingClientRect();e.transition().duration(200).style("opacity",".9"),e.html(t.attr("title")).style("left",r.left+(r.right-r.left)/2+"px").style("top",r.top-14+document.body.scrollTop+"px"),t.classed("hover",!0)}}).on("mouseout",function(){e.transition().duration(500).style("opacity",0);var t=d3.select(this);t.classed("hover",!1)})};funs.push(setupToolTips),exports.clear=function(){vertices={},classes={},edges=[],funs=[],funs.push(setupToolTips),subGraphs=[],subCount=0,tooltips=[]},exports.defaultStyle=function(){return"fill:#ffa;stroke: #f66; stroke-width: 3px; stroke-dasharray: 5, 5;fill:#ffa;stroke: #666;"},exports.addSubGraph=function(t,e){function n(t){var e={"boolean":{},number:{},string:{}},n=[];return t.filter(function(t){var r=typeof t;return" "===t?!1:r in e?e[r].hasOwnProperty(t)?!1:e[r][t]=!0:n.indexOf(t)>=0?!1:n.push(t)})}var r=[];r=n(r.concat.apply(r,t));var i={id:"subGraph"+subCount,nodes:r,title:e};return subGraphs.push(i),subCount+=1,i.id};var getPosForId=function(t){var e;for(e=0;e<subGraphs.length;e++)if(subGraphs[e].id===t)return e;return-1},secCount=-1,posCrossRef=[],indexNodes=function t(e,n){var r=subGraphs[n].nodes;if(secCount+=1,!(secCount>2e3)){if(posCrossRef[secCount]=n,subGraphs[n].id===e)return{result:!0,count:0};for(var i=0,a=1;i<r.length;){var u=getPosForId(r[i]);if(u>=0){var o=t(e,u);if(o.result)return{result:!0,count:a+o.count};a+=o.count}i+=1}return{result:!1,count:a}}};exports.getDepthFirstPos=function(t){return 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69:this.$={type:"arrow_cross",stroke:"normal",text:a[u-1]};break;case 70:this.$={type:"arrow_open",stroke:"normal",text:a[u-1]
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86:this.$={type:"arrow_open",stroke:"dotted"};break;case 87:this.$={type:"arrow",stroke:"thick"};break;case 88:this.$={type:"arrow_circle",stroke:"thick"};break;case 89:this.$={type:"arrow_cross",stroke:"thick"};break;case 90:this.$={type:"arrow_open",stroke:"thick"};break;case 91:this.$=a[u-1];break;case 110:case 111:this.$=a[u-4],r.addClass(a[u-2],a[u]);break;case 112:this.$=a[u-4],r.setClass(a[u-2],a[u]);break;case 113:this.$=a[u-4],r.setClickEvent(a[u-2],a[u],void 0,void 0);break;case 114:this.$=a[u-6],r.setClickEvent(a[u-4],a[u-2],void 0,a[u]);break;case 115:this.$=a[u-4],r.setClickEvent(a[u-2],void 0,a[u],void 0);break;case 116:this.$=a[u-6],r.setClickEvent(a[u-4],void 0,a[u-2],a[u]);break;case 117:this.$=a[u-4],r.addVertex(a[u-2],void 0,void 0,a[u]);break;case 118:case 119:case 120:this.$=a[u-4],r.updateLink(a[u-2],a[u]);break;case 121:case 122:this.$=a[u-8],r.updateLinkInterpolate(a[u-6],a[u-2]),r.updateLink(a[u-6],a[u]);break;case 123:case 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on line "+(o+1)+":\n"+d.showPosition()+"\nExpecting "+D.join(", ")+", got '"+(this.terminals_[v]||v)+"'":"Parse error on line "+(o+1)+": Unexpected "+(v==h?"end of input":"'"+(this.terminals_[v]||v)+"'"),this.parseError(M,{text:d.match,token:this.terminals_[v]||v,line:d.yylineno,loc:y,expected:D})}if(x[0]instanceof Array&&x.length>1)throw new Error("Parse Error: multiple actions possible at state: "+b+", token: "+v);switch(x[0]){case 1:n.push(v),r.push(d.yytext),i.push(d.yylloc),n.push(x[1]),v=null,_?(v=_,_=null):(s=d.yyleng,u=d.yytext,o=d.yylineno,y=d.yylloc,c>0&&c--);break;case 2:if(k=this.productions_[x[1]][1],C.$=r[r.length-k],C._$={first_line:i[i.length-(k||1)].first_line,last_line:i[i.length-1].last_line,first_column:i[i.length-(k||1)].first_column,last_column:i[i.length-1].last_column},m&&(C._$.range=[i[i.length-(k||1)].range[0],i[i.length-1].range[1]]),w=this.performAction.apply(C,[u,s,o,p.yy,x[1],r,i].concat(f)),"undefined"!=typeof w)return w;k&&(n=n.slice(0,-1*k*2),r=r.slice(0,-1*k),i=i.slice(0,-1*k)),n.push(this.productions_[x[1]][0]),r.push(C.$),i.push(C._$),E=a[n[n.length-2]][n[n.length-1]],n.push(E);break;case 3:return!0}}return!0}},St=function(){var t={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t;var e=t.match(/(?:\r\n?|\n).*/g);return e?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var r=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var i=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===r.length?this.yylloc.first_column:0)+r[r.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[i[0],i[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var n,r,i;if(this.options.backtrack_lexer&&(i={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(i.yylloc.range=this.yylloc.range.slice(0))),r=t[0].match(/(?:\r\n?|\n).*/g),r&&(this.yylineno+=r.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:r?r[r.length-1].length-r[r.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in i)this[a]=i[a];return!1}return!1},next:function(){if(this.done)return this.EOF;this._input||(this.done=!0);var t,e,n,r;this._more||(this.yytext="",this.match="");for(var i=this._currentRules(),a=0;a<i.length;a++)if(n=this._input.match(this.rules[i[a]]),n&&(!e||n[0].length>e[0].length)){if(e=n,r=a,this.options.backtrack_lexer){if(t=this.test_match(n,i[a]),t!==!1)return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?(t=this.test_match(e,i[r]),t!==!1?t:!1):""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t?t:this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){var t=this.conditionStack.length-1;return t>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return t=this.conditionStack.length-1-Math.abs(t||0),t>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{},performAction:function(t,e,n,r){switch(n){case 0:break;case 1:this.begin("string");break;case 2:this.popState();break;case 3:return"STR";case 4:return 71;case 5:return 78;case 6:return 72;case 7:return 82;case 8:return 73;case 9:return 74;case 10:return 75;case 11:return 12;case 12:return 30;case 13:return 32;case 14:return 13;case 15:return 13;case 16:return 13;case 17:return 13;case 18:return 13;case 19:return 13;case 20:return 81;case 21:return 91;case 22:return 89;case 23:return 8;case 24:return 86;case 25:return 98;case 26:return 16;case 27:return 15;case 28:return 17;case 29:return 18;case 30:return 53;case 31:return 51;case 32:return 52;case 33:return 54;case 34:return 58;case 35:return 56;case 36:return 57;case 37:return 59;case 38:return 58;case 39:return 56;case 40:return 57;case 41:return 59;case 42:return 63;case 43:return 61;case 44:return 62;case 45:return 64;case 46:return 50;case 47:return 55;case 48:return 60;case 49:return 40;case 50:return 41;case 51:return 46;case 52:return 92;case 53:return 96;case 54:return 84;case 55:return 97;case 56:return 97;case 57:return 88;case 58:return 94;case 59:return 95;case 60:return 65;case 61:return 38;case 62:return 39;case 63:return 36;case 64:return 37;case 65:return 42;case 66:return 43;case 67:return 101;case 68:return 9;case 69:return 10;case 70:return 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u=a.length-1;switch(i){case 3:return r.apply(a[u]),a[u];case 4:this.$=[];break;case 5:a[u-1].push(a[u]),this.$=a[u-1];break;case 6:case 7:this.$=a[u];break;case 8:this.$=[];break;case 9:a[u-3].description=a[u-1],this.$=a[u-3];break;case 10:this.$=a[u-1];break;case 12:this.$={type:"activeStart",signalType:r.LINETYPE.ACTIVE_START,actor:a[u-1]};break;case 13:this.$={type:"activeEnd",signalType:r.LINETYPE.ACTIVE_END,actor:a[u-1]};break;case 15:this.$=[{type:"setTitle",text:a[u-1]}];break;case 16:a[u-1].unshift({type:"loopStart",loopText:a[u-2],signalType:r.LINETYPE.LOOP_START}),a[u-1].push({type:"loopEnd",loopText:a[u-2],signalType:r.LINETYPE.LOOP_END}),this.$=a[u-1];break;case 17:a[u-1].unshift({type:"optStart",optText:a[u-2],signalType:r.LINETYPE.OPT_START}),a[u-1].push({type:"optEnd",optText:a[u-2],signalType:r.LINETYPE.OPT_END}),this.$=a[u-1];break;case 18:a[u-4].unshift({type:"altStart",altText:a[u-5],signalType:r.LINETYPE.ALT_START}),a[u-4].push({type:"else",altText:a[u-2],signalType:r.LINETYPE.ALT_ELSE}),a[u-4]=a[u-4].concat(a[u-1]),a[u-4].push({type:"altEnd",signalType:r.LINETYPE.ALT_END}),this.$=a[u-4];break;case 19:this.$=[a[u-1],{type:"addNote",placement:a[u-2],actor:a[u-1].actor,text:a[u]}];break;case 20:a[u-2]=[].concat(a[u-1],a[u-1]).slice(0,2),a[u-2][0]=a[u-2][0].actor,a[u-2][1]=a[u-2][1].actor,this.$=[a[u-1],{type:"addNote",placement:r.PLACEMENT.OVER,actor:a[u-2].slice(0,2),text:a[u]}];break;case 23:this.$=[a[u-2],a[u]];break;case 24:this.$=a[u];break;case 25:this.$=r.PLACEMENT.LEFTOF;break;case 26:this.$=r.PLACEMENT.RIGHTOF;break;case 27:this.$=[a[u-4],a[u-1],{type:"addMessage",from:a[u-4].actor,to:a[u-1].actor,signalType:a[u-3],msg:a[u]},{type:"activeStart",signalType:r.LINETYPE.ACTIVE_START,actor:a[u-1]}];break;case 28:this.$=[a[u-4],a[u-1],{type:"addMessage",from:a[u-4].actor,to:a[u-1].actor,signalType:a[u-3],msg:a[u]},{type:"activeEnd",signalType:r.LINETYPE.ACTIVE_END,actor:a[u-4]}];break;case 29:this.$=[a[u-3],a[u-1],{type:"addMessage",from:a[u-3].actor,to:a[u-1].actor,signalType:a[u-2],msg:a[u]}];break;case 30:this.$={type:"addActor",actor:a[u]};break;case 31:this.$=r.LINETYPE.SOLID_OPEN;break;case 32:this.$=r.LINETYPE.DOTTED_OPEN;break;case 33:this.$=r.LINETYPE.SOLID;break;case 34:this.$=r.LINETYPE.DOTTED;break;case 35:this.$=r.LINETYPE.SOLID_CROSS;break;case 36:this.$=r.LINETYPE.DOTTED_CROSS;break;case 37:this.$=a[u].substring(1).trim().replace(/\\n/gm,"\n")}},table:[{3:1,4:n,5:r,6:i},{1:[3]},{3:5,4:n,5:r,6:i},{3:6,4:n,5:r,6:i},e([1,4,5,10,15,16,18,20,22,23,25,36],a,{7:7}),{1:[2,1]},{1:[2,2]},{1:[2,3],4:u,5:o,8:8,9:10,10:s,11:21,14:13,15:c,16:l,17:16,18:h,20:f,22:d,23:p,25:g,36:y},e(m,[2,5]),{9:24,10:s,11:21,14:13,15:c,16:l,17:16,18:h,20:f,22:d,23:p,25:g,36:y},e(m,[2,7]),e(m,[2,8]),{11:25,36:y},{5:[1,26]},{11:27,36:y},{11:28,36:y},{5:[1,29]},{19:30,43:v},{13:[1,32]},{13:[1,33]},{13:[1,34]},{33:35,37:[1,36],38:[1,37],39:[1,38],40:[1,39],41:[1,40],42:[1,41]},{26:42,27:[1,43],31:[1,44],32:[1,45]},e([5,12,30,37,38,39,40,41,42,43],[2,30]),e(m,[2,6]),{5:[1,47],12:[1,46]},e(m,[2,11]),{5:[1,48]},{5:[1,49]},e(m,[2,14]),{5:[1,50]},{5:[2,37]},e(_,a,{7:51}),e(_,a,{7:52}),e([4,5,10,15,16,18,20,22,23,24,25,36],a,{7:53}),{11:56,34:[1,54],35:[1,55],36:y},e(b,[2,31]),e(b,[2,32]),e(b,[2,33]),e(b,[2,34]),e(b,[2,35]),e(b,[2,36]),{11:57,36:y},{11:59,28:58,36:y},{36:[2,25]},{36:[2,26]},{13:[1,60]},e(m,[2,10]),e(m,[2,12]),e(m,[2,13]),e(m,[2,15]),{4:u,5:o,8:8,9:10,10:s,11:21,14:13,15:c,16:l,17:16,18:h,20:f,21:[1,61],22:d,23:p,25:g,36:y},{4:u,5:o,8:8,9:10,10:s,11:21,14:13,15:c,16:l,17:16,18:h,20:f,21:[1,62],22:d,23:p,25:g,36:y},{4:u,5:o,8:8,9:10,10:s,11:21,14:13,15:c,16:l,17:16,18:h,20:f,22:d,23:p,24:[1,63],25:g,36:y},{11:64,36:y},{11:65,36:y},{19:66,43:v},{19:67,43:v},{19:68,43:v},{30:[1,69],43:[2,24]},{5:[1,70]},e(m,[2,16]),e(m,[2,17]),{13:[1,71]},{19:72,43:v},{19:73,43:v},{5:[2,29]},{5:[2,19]},{5:[2,20]},{11:74,36:y},e(m,[2,9]),e(_,a,{7:75}),{5:[2,27]},{5:[2,28]},{43:[2,23]},{4:u,5:o,8:8,9:10,10:s,11:21,14:13,15:c,16:l,17:16,18:h,20:f,21:[1,76],22:d,23:p,25:g,36:y},e(m,[2,18])],defaultActions:{5:[2,1],6:[2,2],31:[2,37],44:[2,25],45:[2,26],66:[2,29],67:[2,19],68:[2,20],72:[2,27],73:[2,28],74:[2,23]},parseError:function(t,e){if(!e.recoverable){var n=function(t,e){this.message=t,this.hash=e};throw n.prototype=Error,new n(t,e)}this.trace(t)},parse:function(t){var e=this,n=[0],r=[null],i=[],a=this.table,u="",o=0,s=0,c=0,l=2,h=1,f=i.slice.call(arguments,1),d=Object.create(this.lexer),p={yy:{}};for(var g in this.yy)Object.prototype.hasOwnProperty.call(this.yy,g)&&(p.yy[g]=this.yy[g]);d.setInput(t,p.yy),p.yy.lexer=d,p.yy.parser=this,"undefined"==typeof d.yylloc&&(d.yylloc={});var y=d.yylloc;i.push(y);var m=d.options&&d.options.ranges;this.parseError="function"==typeof p.yy.parseError?p.yy.parseError:Object.getPrototypeOf(this).parseError;for(var v,_,b,x,w,A,k,E,D,S=function(){var t;return t=d.lex()||h,"number"!=typeof t&&(t=e.symbols_[t]||t),t},C={};;){if(b=n[n.length-1],this.defaultActions[b]?x=this.defaultActions[b]:((null===v||"undefined"==typeof v)&&(v=S()),x=a[b]&&a[b][v]),"undefined"==typeof x||!x.length||!x[0]){var M="";D=[];for(A in a[b])this.terminals_[A]&&A>l&&D.push("'"+this.terminals_[A]+"'");M=d.showPosition?"Parse error on line "+(o+1)+":\n"+d.showPosition()+"\nExpecting "+D.join(", ")+", got '"+(this.terminals_[v]||v)+"'":"Parse error on line "+(o+1)+": Unexpected "+(v==h?"end of input":"'"+(this.terminals_[v]||v)+"'"),this.parseError(M,{text:d.match,token:this.terminals_[v]||v,line:d.yylineno,loc:y,expected:D})}if(x[0]instanceof Array&&x.length>1)throw new Error("Parse Error: multiple actions possible at state: "+b+", token: "+v);switch(x[0]){case 1:n.push(v),r.push(d.yytext),i.push(d.yylloc),n.push(x[1]),v=null,_?(v=_,_=null):(s=d.yyleng,u=d.yytext,o=d.yylineno,y=d.yylloc,c>0&&c--);break;case 2:if(k=this.productions_[x[1]][1],C.$=r[r.length-k],C._$={first_line:i[i.length-(k||1)].first_line,last_line:i[i.length-1].last_line,first_column:i[i.length-(k||1)].first_column,last_column:i[i.length-1].last_column},m&&(C._$.range=[i[i.length-(k||1)].range[0],i[i.length-1].range[1]]),w=this.performAction.apply(C,[u,s,o,p.yy,x[1],r,i].concat(f)),"undefined"!=typeof w)return w;k&&(n=n.slice(0,-1*k*2),r=r.slice(0,-1*k),i=i.slice(0,-1*k)),n.push(this.productions_[x[1]][0]),r.push(C.$),i.push(C._$),E=a[n[n.length-2]][n[n.length-1]],n.push(E);break;case 3:return!0}}return!0}},w=function(){var t={EOF:1,parseError:function(t,e){if(!this.yy.parser)throw new Error(t);this.yy.parser.parseError(t,e)},setInput:function(t,e){return this.yy=e||this.yy||{},this._input=t,this._more=this._backtrack=this.done=!1,this.yylineno=this.yyleng=0,this.yytext=this.matched=this.match="",this.conditionStack=["INITIAL"],this.yylloc={first_line:1,first_column:0,last_line:1,last_column:0},this.options.ranges&&(this.yylloc.range=[0,0]),this.offset=0,this},input:function(){var t=this._input[0];this.yytext+=t,this.yyleng++,this.offset++,this.match+=t,this.matched+=t;var e=t.match(/(?:\r\n?|\n).*/g);return e?(this.yylineno++,this.yylloc.last_line++):this.yylloc.last_column++,this.options.ranges&&this.yylloc.range[1]++,this._input=this._input.slice(1),t},unput:function(t){var e=t.length,n=t.split(/(?:\r\n?|\n)/g);this._input=t+this._input,this.yytext=this.yytext.substr(0,this.yytext.length-e),this.offset-=e;var r=this.match.split(/(?:\r\n?|\n)/g);this.match=this.match.substr(0,this.match.length-1),this.matched=this.matched.substr(0,this.matched.length-1),n.length-1&&(this.yylineno-=n.length-1);var i=this.yylloc.range;return this.yylloc={first_line:this.yylloc.first_line,last_line:this.yylineno+1,first_column:this.yylloc.first_column,last_column:n?(n.length===r.length?this.yylloc.first_column:0)+r[r.length-n.length].length-n[0].length:this.yylloc.first_column-e},this.options.ranges&&(this.yylloc.range=[i[0],i[0]+this.yyleng-e]),this.yyleng=this.yytext.length,this},more:function(){return this._more=!0,this},reject:function(){return this.options.backtrack_lexer?(this._backtrack=!0,this):this.parseError("Lexical error on line "+(this.yylineno+1)+". You can only invoke reject() in the lexer when the lexer is of the backtracking persuasion (options.backtrack_lexer = true).\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},less:function(t){this.unput(this.match.slice(t))},pastInput:function(){var t=this.matched.substr(0,this.matched.length-this.match.length);return(t.length>20?"...":"")+t.substr(-20).replace(/\n/g,"")},upcomingInput:function(){var t=this.match;return t.length<20&&(t+=this._input.substr(0,20-t.length)),(t.substr(0,20)+(t.length>20?"...":"")).replace(/\n/g,"")},showPosition:function(){var t=this.pastInput(),e=new Array(t.length+1).join("-");return t+this.upcomingInput()+"\n"+e+"^"},test_match:function(t,e){var n,r,i;if(this.options.backtrack_lexer&&(i={yylineno:this.yylineno,yylloc:{first_line:this.yylloc.first_line,last_line:this.last_line,first_column:this.yylloc.first_column,last_column:this.yylloc.last_column},yytext:this.yytext,match:this.match,matches:this.matches,matched:this.matched,yyleng:this.yyleng,offset:this.offset,_more:this._more,_input:this._input,yy:this.yy,conditionStack:this.conditionStack.slice(0),done:this.done},this.options.ranges&&(i.yylloc.range=this.yylloc.range.slice(0))),r=t[0].match(/(?:\r\n?|\n).*/g),r&&(this.yylineno+=r.length),this.yylloc={first_line:this.yylloc.last_line,last_line:this.yylineno+1,first_column:this.yylloc.last_column,last_column:r?r[r.length-1].length-r[r.length-1].match(/\r?\n?/)[0].length:this.yylloc.last_column+t[0].length},this.yytext+=t[0],this.match+=t[0],this.matches=t,this.yyleng=this.yytext.length,this.options.ranges&&(this.yylloc.range=[this.offset,this.offset+=this.yyleng]),this._more=!1,this._backtrack=!1,this._input=this._input.slice(t[0].length),this.matched+=t[0],n=this.performAction.call(this,this.yy,this,e,this.conditionStack[this.conditionStack.length-1]),this.done&&this._input&&(this.done=!1),n)return n;if(this._backtrack){for(var a in i)this[a]=i[a];return!1}return!1},next:function(){if(this.done)return this.EOF;this._input||(this.done=!0);var t,e,n,r;this._more||(this.yytext="",this.match="");for(var i=this._currentRules(),a=0;a<i.length;a++)if(n=this._input.match(this.rules[i[a]]),n&&(!e||n[0].length>e[0].length)){if(e=n,r=a,this.options.backtrack_lexer){if(t=this.test_match(n,i[a]),t!==!1)return t;if(this._backtrack){e=!1;continue}return!1}if(!this.options.flex)break}return e?(t=this.test_match(e,i[r]),t!==!1?t:!1):""===this._input?this.EOF:this.parseError("Lexical error on line "+(this.yylineno+1)+". Unrecognized text.\n"+this.showPosition(),{text:"",token:null,line:this.yylineno})},lex:function(){var t=this.next();return t?t:this.lex()},begin:function(t){this.conditionStack.push(t)},popState:function(){var t=this.conditionStack.length-1;return t>0?this.conditionStack.pop():this.conditionStack[0]},_currentRules:function(){return this.conditionStack.length&&this.conditionStack[this.conditionStack.length-1]?this.conditions[this.conditionStack[this.conditionStack.length-1]].rules:this.conditions.INITIAL.rules},topState:function(t){return t=this.conditionStack.length-1-Math.abs(t||0),t>=0?this.conditionStack[t]:"INITIAL"},pushState:function(t){this.begin(t)},stateStackSize:function(){return this.conditionStack.length},options:{"case-insensitive":!0},performAction:function(t,e,n,r){switch(n){case 0:return 5;case 1:break;case 2:break;case 3:break;case 4:break;case 5:return this.begin("ID"),10;case 6:return this.begin("ALIAS"),36;case 7:return this.popState(),this.popState(),this.begin("LINE"),12;case 8:return this.popState(),this.popState(),5;case 9:return this.begin("LINE"),20;case 10:return this.begin("LINE"),22;case 11:return this.begin("LINE"),23;case 12:return this.begin("LINE"),24;case 13:return this.popState(),13;case 14:return 21;case 15:return 31;case 16:return 32;case 17:return 27;case 18:return 25;case 19:return this.begin("ID"),15;case 20:return this.begin("ID"),16;case 21:return 18;case 22:return 6;case 23:return 30;case 24:return 5;case 25:return e.yytext=e.yytext.trim(),36;case 26:return 39;case 27:return 40;case 28:return 37;case 29:return 38;case 30:return 41;case 31:return 42;case 32:return 43;case 33:return 34;case 34:return 35;case 35:return 5;case 36:return"INVALID"}},rules:[/^(?:[\n]+)/i,/^(?:\s+)/i,/^(?:((?!\n)\s)+)/i,/^(?:#[^\n]*)/i,/^(?:%[^\n]*)/i,/^(?:participant\b)/i,/^(?:[^\->:\n,;]+?(?=((?!\n)\s)+as(?!\n)\s|[#\n;]|$))/i,/^(?:as\b)/i,/^(?:(?:))/i,/^(?:loop\b)/i,/^(?:opt\b)/i,/^(?:alt\b)/i,/^(?:else\b)/i,/^(?:[^#\n;]*)/i,/^(?:end\b)/i,/^(?:left of\b)/i,/^(?:right of\b)/i,/^(?:over\b)/i,/^(?:note\b)/i,/^(?:activate\b)/i,/^(?:deactivate\b)/i,/^(?:title\b)/i,/^(?:sequenceDiagram\b)/i,/^(?:,)/i,/^(?:;)/i,/^(?:[^\+\->:\n,;]+)/i,/^(?:->>)/i,/^(?:-->>)/i,/^(?:->)/i,/^(?:-->)/i,/^(?:-[x])/i,/^(?:--[x])/i,/^(?::[^#\n;]+)/i,/^(?:\+)/i,/^(?:-)/i,/^(?:$)/i,/^(?:.)/i],conditions:{LINE:{rules:[2,3,13],inclusive:!1},ALIAS:{rules:[2,3,7,8],inclusive:!1},ID:{rules:[2,3,6],inclusive:!1},INITIAL:{rules:[0,1,3,4,5,9,10,11,12,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36],inclusive:!0}}};return t}();return x.lexer=w,t.prototype=x,x.Parser=t,new t}();"undefined"!=typeof t&&"undefined"!=typeof n&&(n.parser=i,n.Parser=i.Parser,n.parse=function(){return i.parse.apply(i,arguments)},n.main=function(e){e[1]||(console.log("Usage: "+e[0]+" FILE"),r.exit(1));var i=t("fs").readFileSync(t("path").normalize(e[1]),"utf8");return n.parser.parse(i)},"undefined"!=typeof e&&t.main===e&&n.main(r.argv.slice(1)))}).call(this,t("_process"))},{_process:3,fs:1,path:2}],128:[function(t,e,n){(function(e){"use strict";var r={},i=[],a=[],u="",o=t("../../logger"),s=new o.Log;n.addActor=function(t,e,n){var i=r[t];i&&e===i.name&&null==n||(null==n&&(n=e),r[t]={name:e,description:n})},n.addMessage=function(t,e,n,r){i.push({from:t,to:e,message:n,answer:r})},n.addSignal=function(t,e,n,r){s.debug("Adding message from="+t+" to="+e+" message="+n+" type="+r),i.push({from:t,to:e,message:n,type:r})},n.getMessages=function(){return i},n.getActors=function(){return r},n.getActor=function(t){return r[t]},n.getActorKeys=function(){return Object.keys(r)},n.getTitle=function(){return u},n.clear=function(){r={},i=[]},n.LINETYPE={SOLID:0,DOTTED:1,NOTE:2,SOLID_CROSS:3,DOTTED_CROSS:4,SOLID_OPEN:5,DOTTED_OPEN:6,LOOP_START:10,LOOP_END:11,ALT_START:12,ALT_ELSE:13,ALT_END:14,OPT_START:15,OPT_END:16,ACTIVE_START:17,ACTIVE_END:18},n.ARROWTYPE={FILLED:0,OPEN:1},n.PLACEMENT={LEFTOF:0,RIGHTOF:1,OVER:2},n.addNote=function(t,e,r){var u={actor:t,placement:e,message:r},o=[].concat(t,t);a.push(u),i.push({from:o[0],to:o[1],message:r,type:n.LINETYPE.NOTE,placement:e})},n.setTitle=function(t){u=t},n.parseError=function(t,n){e.mermaidAPI.parseError(t,n)},n.apply=function(t){if(t instanceof Array)t.forEach(function(t){n.apply(t)});else switch(t.type){case"addActor":n.addActor(t.actor,t.actor,t.description);break;case"activeStart":n.addSignal(t.actor,void 0,void 0,t.signalType);break;case"activeEnd":n.addSignal(t.actor,void 0,void 0,t.signalType);break;case"addNote":n.addNote(t.actor,t.placement,t.text);break;case"addMessage":n.addSignal(t.from,t.to,t.msg,t.signalType);break;case"loopStart":n.addSignal(void 0,void 0,t.loopText,t.signalType);break;case"loopEnd":n.addSignal(void 0,void 0,void 0,t.signalType);break;case"optStart":n.addSignal(void 0,void 0,t.optText,t.signalType);break;case"optEnd":n.addSignal(void 0,void 0,void 0,t.signalType);break;case"altStart":n.addSignal(void 0,void 0,t.altText,t.signalType);break;case"else":n.addSignal(void 0,void 0,t.altText,t.signalType);break;case"altEnd":n.addSignal(void 0,void 0,void 0,t.signalType);break;case"setTitle":n.setTitle(t.text)}}}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"../../logger":131}],129:[function(t,e,n){"use strict";var r=t("./parser/sequenceDiagram").parser;r.yy=t("./sequenceDb");var i=t("./svgDraw"),a=t("../../d3"),u=t("../../logger"),o=new u.Log,s={diagramMarginX:50,diagramMarginY:30,actorMargin:50,width:150,height:65,boxMargin:10,boxTextMargin:5,noteMargin:10,messageMargin:35,mirrorActors:!1,bottomMarginAdj:1,activationWidth:10};n.bounds={data:{startx:void 0,stopx:void 0,starty:void 0,stopy:void 0},verticalPos:0,sequenceItems:[],activations:[],init:function(){this.sequenceItems=[],this.activations=[],this.data={startx:void 0,stopx:void 0,starty:void 0,stopy:void 0},this.verticalPos=0},updateVal:function(t,e,n,r){t[e]="undefined"==typeof t[e]?n:r(n,t[e])},updateBounds:function(t,e,r,i){function a(a){return function(c){o++;var l=u.sequenceItems.length-o+1;u.updateVal(c,"starty",e-l*s.boxMargin,Math.min),u.updateVal(c,"stopy",i+l*s.boxMargin,Math.max),u.updateVal(n.bounds.data,"startx",t-l*s.boxMargin,Math.min),u.updateVal(n.bounds.data,"stopx",r+l*s.boxMargin,Math.max),"activation"!=a&&(u.updateVal(c,"startx",t-l*s.boxMargin,Math.min),u.updateVal(c,"stopx",r+l*s.boxMargin,Math.max),u.updateVal(n.bounds.data,"starty",e-l*s.boxMargin,Math.min),u.updateVal(n.bounds.data,"stopy",i+l*s.boxMargin,Math.max))}}var u=this,o=0;this.sequenceItems.forEach(a()),this.activations.forEach(a("activation"))},insert:function(t,e,r,i){var a,u,o,s;a=Math.min(t,r),o=Math.max(t,r),u=Math.min(e,i),s=Math.max(e,i),this.updateVal(n.bounds.data,"startx",a,Math.min),this.updateVal(n.bounds.data,"starty",u,Math.min),this.updateVal(n.bounds.data,"stopx",o,Math.max),this.updateVal(n.bounds.data,"stopy",s,Math.max),this.updateBounds(a,u,o,s)},newActivation:function(t,e){var n=r.yy.getActors()[t.from.actor],a=h(t.from.actor).length,u=n.x+s.width/2+(a-1)*s.activationWidth/2;this.activations.push({startx:u,starty:this.verticalPos+2,stopx:u+s.activationWidth,stopy:void 0,actor:t.from.actor,anchored:i.anchorElement(e)})},endActivation:function(t){var e=this.activations.map(function(t){return t.actor}).lastIndexOf(t.from.actor),n=this.activations.splice(e,1)[0];return n},newLoop:function(t){this.sequenceItems.push({startx:void 0,starty:this.verticalPos,stopx:void 0,stopy:void 0,title:t})},endLoop:function(){var t=this.sequenceItems.pop();return t},addElseToLoop:function(t){var e=this.sequenceItems.pop();e.elsey=n.bounds.getVerticalPos(),e.elseText=t,this.sequenceItems.push(e)},bumpVerticalPos:function(t){this.verticalPos=this.verticalPos+t,this.data.stopy=this.verticalPos},getVerticalPos:function(){return this.verticalPos},getBounds:function(){return this.data}};var c=function(t,e,r,a,u){var o=i.getNoteRect();o.x=e,o.y=r,o.width=u||s.width,o["class"]="note";var c=t.append("g"),l=i.drawRect(c,o),h=i.getTextObj();h.x=e-4,h.y=r-13,h.textMargin=s.noteMargin,h.dy="1em",h.text=a.message,h["class"]="noteText";var f=i.drawText(c,h,o.width-s.noteMargin),d=f[0][0].getBBox().height;!u&&d>s.width?(f.remove(),c=t.append("g"),f=i.drawText(c,h,2*o.width-s.noteMargin),d=f[0][0].getBBox().height,l.attr("width",2*o.width),n.bounds.insert(e,r,e+2*o.width,r+2*s.noteMargin+d)):n.bounds.insert(e,r,e+o.width,r+2*s.noteMargin+d),l.attr("height",d+2*s.noteMargin),n.bounds.bumpVerticalPos(d+2*s.noteMargin)},l=function(t,e,i,a,u){var o,c=t.append("g"),l=e+(i-e)/2,h=c.append("text").attr("x",l).attr("y",a-7).style("text-anchor","middle").attr("class","messageText").text(u.message);o="undefined"!=typeof h[0][0].getBBox?h[0][0].getBBox().width:h[0][0].getBoundingClientRect();var f;if(e===i){f=c.append("path").attr("d","M "+e+","+a+" C "+(e+60)+","+(a-10)+" "+(e+60)+","+(a+30)+" "+e+","+(a+20)),n.bounds.bumpVerticalPos(30);var d=Math.max(o/2,100);n.bounds.insert(e-d,n.bounds.getVerticalPos()-10,i+d,n.bounds.getVerticalPos())}else f=c.append("line"),f.attr("x1",e),f.attr("y1",a),f.attr("x2",i),f.attr("y2",a),n.bounds.insert(e,n.bounds.getVerticalPos()-10,i,n.bounds.getVerticalPos());u.type===r.yy.LINETYPE.DOTTED||u.type===r.yy.LINETYPE.DOTTED_CROSS||u.type===r.yy.LINETYPE.DOTTED_OPEN?(f.style("stroke-dasharray","3, 3"),f.attr("class","messageLine1")):f.attr("class","messageLine0");var p="";s.arrowMarkerAbsolute&&(p=window.location.protocol+"//"+window.location.host+window.location.pathname+window.location.search,p=p.replace(/\(/g,"\\("),p=p.replace(/\)/g,"\\)")),f.attr("stroke-width",2),f.attr("stroke","black"),f.style("fill","none"),(u.type===r.yy.LINETYPE.SOLID||u.type===r.yy.LINETYPE.DOTTED)&&f.attr("marker-end","url("+p+"#arrowhead)"),(u.type===r.yy.LINETYPE.SOLID_CROSS||u.type===r.yy.LINETYPE.DOTTED_CROSS)&&f.attr("marker-end","url("+p+"#crosshead)")};e.exports.drawActors=function(t,e,r,a){var u;for(u=0;u<r.length;u++){var o=r[u];e[o].x=u*s.actorMargin+u*s.width,e[o].y=a,e[o].width=s.diagramMarginX,e[o].height=s.diagramMarginY,i.drawActor(t,e[o].x,a,e[o].description,s),n.bounds.insert(e[o].x,a,e[o].x+s.width,s.height)}n.bounds.bumpVerticalPos(s.height)},e.exports.setConf=function(t){var e=Object.keys(t);e.forEach(function(e){s[e]=t[e]})};var h=function(t){return e.exports.bounds.activations.filter(function(e){return e.actor==t})},f=function(t){var e=r.yy.getActors(),n=h(t),i=n.reduce(function(t,e){return Math.min(t,e.startx)},e[t].x+s.width/2),a=n.reduce(function(t,e){return Math.max(t,e.stopx)},e[t].x+s.width/2);return[i,a]};e.exports.draw=function(t,u){function h(t,e){var r=n.bounds.endActivation(t);r.starty+18>e&&(r.starty=e-6,e+=12),i.drawActivation(y,r,e,s),n.bounds.insert(r.startx,e-10,r.stopx,e)}r.yy.clear(),r.parse(t+"\n"),n.bounds.init();var d,p,g,y=a.select("#"+u),m=r.yy.getActors(),v=r.yy.getActorKeys(),_=r.yy.getMessages(),b=r.yy.getTitle();e.exports.drawActors(y,m,v,0),i.insertArrowHead(y),i.insertArrowCrossHead(y);var x;_.forEach(function(t){var e;switch(t.type){case r.yy.LINETYPE.NOTE:n.bounds.bumpVerticalPos(s.boxMargin),d=m[t.from].x,p=m[t.to].x,t.placement===r.yy.PLACEMENT.RIGHTOF?c(y,d+(s.width+s.actorMargin)/2,n.bounds.getVerticalPos(),t):t.placement===r.yy.PLACEMENT.LEFTOF?c(y,d-(s.width+s.actorMargin)/2,n.bounds.getVerticalPos(),t):t.to===t.from?c(y,d,n.bounds.getVerticalPos(),t):(g=Math.abs(d-p)+s.actorMargin,c(y,(d+p+s.width-g)/2,n.bounds.getVerticalPos(),t,g));break;case r.yy.LINETYPE.ACTIVE_START:n.bounds.newActivation(t,y);break;case r.yy.LINETYPE.ACTIVE_END:h(t,n.bounds.getVerticalPos());break;case r.yy.LINETYPE.LOOP_START:n.bounds.bumpVerticalPos(s.boxMargin),n.bounds.newLoop(t.message),n.bounds.bumpVerticalPos(s.boxMargin+s.boxTextMargin);break;case r.yy.LINETYPE.LOOP_END:e=n.bounds.endLoop(),i.drawLoop(y,e,"loop",s),n.bounds.bumpVerticalPos(s.boxMargin);break;case r.yy.LINETYPE.OPT_START:n.bounds.bumpVerticalPos(s.boxMargin),n.bounds.newLoop(t.message),n.bounds.bumpVerticalPos(s.boxMargin+s.boxTextMargin);break;case r.yy.LINETYPE.OPT_END:e=n.bounds.endLoop(),i.drawLoop(y,e,"opt",s),n.bounds.bumpVerticalPos(s.boxMargin);break;case r.yy.LINETYPE.ALT_START:n.bounds.bumpVerticalPos(s.boxMargin),n.bounds.newLoop(t.message),n.bounds.bumpVerticalPos(s.boxMargin+s.boxTextMargin);break;case r.yy.LINETYPE.ALT_ELSE:n.bounds.bumpVerticalPos(s.boxMargin),e=n.bounds.addElseToLoop(t.message),n.bounds.bumpVerticalPos(s.boxMargin);break;case r.yy.LINETYPE.ALT_END:e=n.bounds.endLoop(),i.drawLoop(y,e,"alt",s),n.bounds.bumpVerticalPos(s.boxMargin);break;default:try{x=t,n.bounds.bumpVerticalPos(s.messageMargin);var a=f(t.from),u=f(t.to),o=a[0]<=u[0]?1:0,v=a[0]<u[0]?0:1;d=a[o],p=u[v];var _=n.bounds.getVerticalPos();l(y,d,p,_,t);var b=a.concat(u);n.bounds.insert(Math.min.apply(null,b),_,Math.max.apply(null,b),_)}catch(w){console.error("error while drawing message",w)}}}),s.mirrorActors&&(n.bounds.bumpVerticalPos(2*s.boxMargin),e.exports.drawActors(y,m,v,n.bounds.getVerticalPos()));var w=n.bounds.getBounds();o.debug("For line height fix Querying: #"+u+" .actor-line");var A=a.selectAll("#"+u+" .actor-line");A.attr("y2",w.stopy);var k=w.stopy-w.starty+2*s.diagramMarginY;s.mirrorActors&&(k=k-s.boxMargin+s.bottomMarginAdj);var E=w.stopx-w.startx+2*s.diagramMarginX;b&&y.append("text").text(b).attr("x",(w.stopx-w.startx)/2-2*s.diagramMarginX).attr("y",-25),s.useMaxWidth?(y.attr("height","100%"),y.attr("width","100%"),y.attr("style","max-width:"+E+"px;")):(y.attr("height",k),y.attr("width",E));var D=b?40:0;y.attr("viewBox",w.startx-s.diagramMarginX+" -"+(s.diagramMarginY+D)+" "+E+" "+(k+D))}},{"../../d3":109,"../../logger":131,"./parser/sequenceDiagram":127,"./sequenceDb":128,"./svgDraw":130}],130:[function(t,e,n){"use 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o=e+u.width/2,s=t.append("g");0===i&&(r++,s.append("line").attr("id","actor"+r).attr("x1",o).attr("y1",5).attr("x2",o).attr("y2",2e3).attr("class","actor-line").attr("stroke-width","0.5px").attr("stroke","#999"));var c=n.getNoteRect();c.x=e,c.y=i,c.fill="#eaeaea",c.width=u.width,c.height=u.height,c["class"]="actor",c.rx=3,c.ry=3,n.drawRect(s,c),s.append("text").attr("x",o).attr("y",i+u.height/2+5).attr("class","actor").style("text-anchor","middle").text(a)},n.anchorElement=function(t){return t.append("g")},n.drawActivation=function(t,e,r){var i=n.getNoteRect(),a=e.anchored;i.x=e.startx,i.y=e.starty,i.fill="#f4f4f4",i.width=e.stopx-e.startx,i.height=r-e.starty,n.drawRect(a,i)},n.drawLoop=function(t,e,r,i){var a=t.append("g"),u=function(t,e,n,r){a.append("line").attr("x1",t).attr("y1",e).attr("x2",n).attr("y2",r).attr("stroke-width",2).attr("stroke","#526e52").attr("class","loopLine")};u(e.startx,e.starty,e.stopx,e.starty),u(e.stopx,e.starty,e.stopx,e.stopy),u(e.startx,e.stopy,e.stopx,e.stopy),u(e.startx,e.starty,e.startx,e.stopy),"undefined"!=typeof e.elsey&&u(e.startx,e.elsey,e.stopx,e.elsey);var o=n.getTextObj();o.text=r,o.x=e.startx,o.y=e.starty,o.labelMargin=15,o["class"]="labelText",o.fill="white",n.drawLabel(a,o),o=n.getTextObj(),o.text="[ "+e.title+" ]",o.x=e.startx+(e.stopx-e.startx)/2,o.y=e.starty+1.5*i.boxMargin,o.anchor="middle",o["class"]="loopText",n.drawText(a,o),"undefined"!=typeof e.elseText&&(o.text="[ "+e.elseText+" ]",o.y=e.elsey+1.5*i.boxMargin,n.drawText(a,o))},n.insertArrowHead=function(t){t.append("defs").append("marker").attr("id","arrowhead").attr("refX",5).attr("refY",2).attr("markerWidth",6).attr("markerHeight",4).attr("orient","auto").append("path").attr("d","M 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e=t.getUTCHours(),n=t.getUTCMinutes(),r=t.getSeconds(),i=t.getMilliseconds();10>e&&(e="0"+e),10>n&&(n="0"+n),10>r&&(r="0"+r),100>i&&(i="0"+i),10>i&&(i="00"+i);var a=e+":"+n+":"+r+" ("+i+")";return a}function i(t){this.level=t,this.log=function(){var t=Array.prototype.slice.call(arguments),e=t.shift(),n=this.level;"undefined"==typeof n&&(n=u),e>=n&&"undefined"!=typeof console&&"undefined"!=typeof console.log&&(t.unshift("["+r(new Date)+"] "),console.log.apply(console,t.map(function(t){return"object"==typeof t?JSON.stringify(t,null,2):t})))},this.trace=function(){var t=Array.prototype.slice.call(arguments);t.unshift(a.trace),this.log.apply(this,t)},this.debug=function(){var t=Array.prototype.slice.call(arguments);t.unshift(a.debug),this.log.apply(this,t)},this.info=function(){var t=Array.prototype.slice.call(arguments);t.unshift(a.info),this.log.apply(this,t)},this.warn=function(){var 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e,n=u.detectType(t);switch(n){case"gitGraph":e=w,e.parser.yy=k;break;case"graph":e=h,e.parser.yy=a;break;case"dotGraph":e=f,e.parser.yy=a;break;case"sequenceDiagram":e=d,e.parser.yy=p;break;case"info":e=l,e.parser.yy=g;break;case"gantt":e=m,e.parser.yy=v;break;case"classDiagram":e=_,e.parser.yy=x}try{return e.parse(t),!0}catch(r){return!1}};n.parse=S,n.version=function(){return t("../package.json").version},n.encodeEntities=function(t){var e=t;return e=e.replace(/style.*:\S*#.*;/g,function(t){var e=t.substring(0,t.length-1);return e}),e=e.replace(/classDef.*:\S*#.*;/g,function(t){var e=t.substring(0,t.length-1);return e}),e=e.replace(/#\w+\;/g,function(t){var e=t.substring(1,t.length-1),n=/^\+?\d+$/.test(e);return n?"fl°°"+e+"¶ß":"fl°"+e+"¶ß"})},n.decodeEntities=function(t){var e=t;return e=e.replace(/\fl\°\°/g,function(){return"&#"}),e=e.replace(/\fl\°/g,function(){return"&"}),e=e.replace(/¶ß/g,function(){return";"})};var C=function(t,e,r,l){"undefined"!=typeof l?E.select(l).append("div").attr("id","d"+t).append("svg").attr("id",t).attr("width","100%").attr("xmlns","http://www.w3.org/2000/svg").append("g"):E.select("body").append("div").attr("id","d"+t).append("svg").attr("id",t).attr("width","100%").attr("xmlns","http://www.w3.org/2000/svg").append("g"),window.txt=e,e=n.encodeEntities(e);var h=E.select("#d"+t).node(),f=u.detectType(e),d={};switch(f){case"gitGraph":D.flowchart.arrowMarkerAbsolute=D.arrowMarkerAbsolute,A.setConf(D.gitGraph),A.draw(e,t,!1);break;case"graph":D.flowchart.arrowMarkerAbsolute=D.arrowMarkerAbsolute,o.setConf(D.flowchart),o.draw(e,t,!1),D.cloneCssStyles&&(d=o.getClasses(e,!1),u.cloneCssStyles(h.firstChild,d));break;case"dotGraph":D.flowchart.arrowMarkerAbsolute=D.arrowMarkerAbsolute,o.setConf(D.flowchart),o.draw(e,t,!0),D.cloneCssStyles&&(d=o.getClasses(e,!0),u.cloneCssStyles(h.firstChild,d));break;case"sequenceDiagram":D.sequenceDiagram.arrowMarkerAbsolute=D.arrowMarkerAbsolute,s.setConf(D.sequenceDiagram),s.draw(e,t),D.cloneCssStyles&&u.cloneCssStyles(h.firstChild,[]);break;case"gantt":D.gantt.arrowMarkerAbsolute=D.arrowMarkerAbsolute,y.setConf(D.gantt),y.draw(e,t),D.cloneCssStyles&&u.cloneCssStyles(h.firstChild,[]);break;case"classDiagram":D.classDiagram.arrowMarkerAbsolute=D.arrowMarkerAbsolute,b.setConf(D.classDiagram),b.draw(e,t),D.cloneCssStyles&&u.cloneCssStyles(h.firstChild,[]);break;case"info":D.info.arrowMarkerAbsolute=D.arrowMarkerAbsolute,c.draw(e,t,n.version()),D.cloneCssStyles&&u.cloneCssStyles(h.firstChild,[])}E.select("#d"+t).selectAll("foreignobject div").attr("xmlns","http://www.w3.org/1999/xhtml");var p="";D.arrowMarkerAbsolute&&(p=window.location.protocol+"//"+window.location.host+window.location.pathname+window.location.search,p=p.replace(/\(/g,"\\("),p=p.replace(/\)/g,"\\)"));var g=E.select("#d"+t).node().innerHTML.replace(/url\(#arrowhead/g,"url("+p+"#arrowhead","g");g=n.decodeEntities(g),"undefined"!=typeof r?r(g,a.bindFunctions):i.warn("CB = undefined!");var m=E.select("#d"+t).node();return null!==m&&"function"==typeof m.remove&&E.select("#d"+t).node().remove(),g};n.render=function(t,e,n,r){try{if(1===arguments.length&&(e=t,t="mermaidId0"),"undefined"!=typeof document)return C(t,e,n,r)}catch(a){i.warn(a)}};var M=function(t){var e,n=Object.keys(t);for(e=0;e<n.length;e++)if("object"==typeof t[n[e]]){var r,a=Object.keys(t[n[e]]);for(r=0;r<a.length;r++)i.debug("Setting conf ",n[e],"-",a[r]),"undefined"==typeof D[n[e]]&&(D[n[e]]={}),i.debug("Setting config: "+n[e]+" "+a[r]+" to "+t[n[e]][a[r]]),D[n[e]][a[r]]=t[n[e]][a[r]]}else D[n[e]]=t[n[e]]};n.initialize=function(t){i.debug("Initializing mermaidAPI"),"object"==typeof t&&M(t),r.setLogLevel(D.logLevel)},n.getConfig=function(){return D},n.parseError=function(t,n){"undefined"!=typeof mermaid?e.mermaid.parseError(t,n):(i.debug("Mermaid Syntax error:"),i.debug(t))},e.mermaidAPI={render:n.render,parse:n.parse,initialize:n.initialize,detectType:u.detectType,parseError:n.parseError,getConfig:n.getConfig}}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"../package.json":108,"./d3":109,"./diagrams/classDiagram/classDb":110,"./diagrams/classDiagram/classRenderer":111,"./diagrams/classDiagram/parser/classDiagram":112,"./diagrams/example/exampleDb":113,"./diagrams/example/exampleRenderer":114,"./diagrams/example/parser/example":115,"./diagrams/flowchart/flowRenderer":117,"./diagrams/flowchart/graphDb":118,"./diagrams/flowchart/parser/dot":119,"./diagrams/flowchart/parser/flow":120,"./diagrams/gantt/ganttDb":121,"./diagrams/gantt/ganttRenderer":122,"./diagrams/gantt/parser/gantt":123,"./diagrams/gitGraph/gitGraphAst":124,"./diagrams/gitGraph/gitGraphRenderer":125,"./diagrams/gitGraph/parser/gitGraph":126,"./diagrams/sequenceDiagram/parser/sequenceDiagram":127,"./diagrams/sequenceDiagram/sequenceDb":128,"./diagrams/sequenceDiagram/sequenceRenderer":129,"./logger":131,"./utils":134}],134:[function(t,e,n){"use strict";var r=t("./logger"),i=new r.Log,a=function(t){return t=t.replace(/^\s*%%.*\n/g,"\n"),t.match(/^\s*sequenceDiagram/)?"sequenceDiagram":t.match(/^\s*digraph/)?"dotGraph":t.match(/^\s*info/)?"info":t.match(/^\s*gantt/)?"gantt":t.match(/^\s*classDiagram/)?(i.debug("Detected classDiagram syntax"),"classDiagram"):t.match(/^\s*gitGraph/)?(i.debug("Detected gitGraph syntax"),"gitGraph"):"graph"};n.detectType=a;var u=function(t,e){for(var n,r="",a=document.styleSheets,u=0;u<a.length;u++)if("mermaid-svg-internal-css"!==a[u].title)try{var o=a[u].cssRules;if(null!==o)for(var s=0;s<o.length;s++)if(n=o[s],"undefined"!=typeof n.style){var c;c=t.querySelectorAll(n.selectorText),c.length>0&&(r+=n.selectorText+" { "+n.style.cssText+"}\n")}}catch(l){"undefined"!=typeof n&&i.warn('Invalid CSS selector "'+n.selectorText+'"',l)}var h="",f="";for(var d in e)e.hasOwnProperty(d)&&"undefined"!=typeof d&&("default"===d?(e["default"].styles instanceof Array&&(h+="#"+t.id.trim()+" .node>rect { "+e[d].styles.join("; ")+"; }\n"),e["default"].nodeLabelStyles instanceof Array&&(h+="#"+t.id.trim()+" .node text { "+e[d].nodeLabelStyles.join("; ")+"; }\n"),e["default"].edgeLabelStyles instanceof Array&&(h+="#"+t.id.trim()+" .edgeLabel text { "+e[d].edgeLabelStyles.join("; ")+"; }\n"),e["default"].clusterStyles instanceof Array&&(h+="#"+t.id.trim()+" .cluster rect { "+e[d].clusterStyles.join("; ")+"; }\n")):e[d].styles instanceof Array&&(f+="#"+t.id.trim()+" ."+d+">rect, ."+d+">polygon, ."+d+">ellipse { "+e[d].styles.join("; ")+"; }\n"));if(""!==r||""!==h||""!==f){var p=document.createElement("style");p.setAttribute("type","text/css"),p.setAttribute("title","mermaid-svg-internal-css"),p.innerHTML="/* <![CDATA[ */\n",""!==h&&(p.innerHTML+=h),""!==r&&(p.innerHTML+=r),""!==f&&(p.innerHTML+=f),p.innerHTML+="/* ]]> */\n",t.insertBefore(p,t.firstChild)}};n.cloneCssStyles=u},{"./logger":131}]},{},[132])(132)});
=====================================================
== File: docs/community/themes/hugo-theme-learn/static/mermaid/mermaid.dark.css
=====================================================
/* Flowchart variables */
/* Sequence Diagram variables */
/* Gantt chart variables */
.mermaid .label {
color: #323D47;
}
.node rect,
.node circle,
.node ellipse,
.node polygon {
fill: #BDD5EA;
stroke: #81B1DB;
stroke-width: 1px;
}
.edgePath .path {
stroke: lightgrey;
}
.edgeLabel {
background-color: #e8e8e8;
}
.cluster rect {
fill: #6D6D65 !important;
rx: 4 !important;
stroke: rgba(255, 255, 255, 0.25) !important;
stroke-width: 1px !important;
}
.cluster text {
fill: #F9FFFE;
}
.actor {
stroke: #81B1DB;
fill: #BDD5EA;
}
text.actor {
fill: black;
stroke: none;
}
.actor-line {
stroke: lightgrey;
}
.messageLine0 {
stroke-width: 1.5;
stroke-dasharray: "2 2";
marker-end: "url(#arrowhead)";
stroke: lightgrey;
}
.messageLine1 {
stroke-width: 1.5;
stroke-dasharray: "2 2";
stroke: lightgrey;
=====================================================
== File: docs/community/themes/hugo-theme-learn/static/mermaid/mermaid.forest.css
=====================================================
/* Flowchart variables */
/* Sequence Diagram variables */
/* Gantt chart variables */
.mermaid .label {
font-family: 'trebuchet ms', verdana, arial;
color: #333;
}
.node rect,
.node circle,
.node ellipse,
.node polygon {
fill: #cde498;
stroke: #13540c;
stroke-width: 1px;
}
.edgePath .path {
stroke: green;
stroke-width: 1.5px;
}
.edgeLabel {
background-color: #e8e8e8;
}
.cluster rect {
fill: #cdffb2 !important;
rx: 4 !important;
stroke: #6eaa49 !important;
stroke-width: 1px !important;
}
.cluster text {
fill: #333;
}
.actor {
stroke: #13540c;
fill: #cde498;
}
text.actor {
fill: black;
stroke: none;
}
.actor-line {
stroke: grey;
}
.messageLine0 {
stroke-width: 1.5;
stroke-dasharray: "2 2";
marker-end: "url(#arrowhead)";
stroke: #333;
}
.messageLine1 {
stroke-width: 1.5;
=====================================================
== File: docs/community/themes/hugo-theme-learn/static/images/clippy.svg
=====================================================
<svg height="1024" width="896" xmlns="http://www.w3.org/2000/svg">
<path d="M128 768h256v64H128v-64z m320-384H128v64h320v-64z m128 192V448L384 640l192 192V704h320V576H576z m-288-64H128v64h160v-64zM128 704h160v-64H128v64z m576 64h64v128c-1 18-7 33-19 45s-27 18-45 19H64c-35 0-64-29-64-64V192c0-35 29-64 64-64h192C256 57 313 0 384 0s128 57 128 128h192c35 0 64 29 64 64v320h-64V320H64v576h640V768zM128 256h512c0-35-29-64-64-64h-64c-35 0-64-29-64-64s-29-64-64-64-64 29-64 64-29 64-64 64h-64c-35 0-64 29-64 64z" />
</svg>
=====================================================
== File: docs/community/themes/hugo-theme-learn/theme.toml
=====================================================
# theme.toml template for a Hugo theme
# See https://github.com/spf13/hugoThemes#themetoml for an example
name = "Learn"
license = "MIT"
licenselink = "https://github.com/matcornic/hugo-theme-learn/blob/master/LICENSE.md"
description = "Documentation theme for Hugo, based on Grav Learn theme"
homepage = "https://github.com/matcornic/hugo-theme-learn/"
repo = "https://github.com/matcornic/hugo-theme-learn"
tags = ["documentation", "grav", "learn", "doc", "search"]
features = ["documentation", "menu", "nested sections", "search", "mermaid"]
min_version = 0.25
[author]
name = "Mathieu Cornic"
homepage = "http://matcornic.github.io/"
[original]
name = "Grav Learn"
homepage = "http://learn.getgrav.org/"
repo = "https://github.com/getgrav/grav-learn"
=====================================================
== File: docs/community/themes/hugo-theme-learn/layouts/_default/list.html
=====================================================
{{ partial "header.html" . }}
{{ .TableOfContents }}
{{ .Content }}
<footer class=" footline" >
{{with .Params.LastModifierDisplayName}}
<i class='fa fa-user'></i> <a href="mailto:{{ $.Params.LastModifierEmail }}">{{ . }}</a> {{with $.Date}} <i class='fa fa-calendar'></i> {{ .Format "02/01/2006" }}{{end}}
</div>
{{end}}
</footer>
{{ partial "footer.html" . }}
=====================================================
== File: docs/community/themes/hugo-theme-learn/layouts/_default/single.html
=====================================================
{{ partial "header.html" . }}
{{ .TableOfContents }}
{{ .Content }}
<footer class=" footline" >
{{with .Params.LastModifierDisplayName}}
<i class='fa fa-user'></i> <a href="mailto:{{ $.Params.LastModifierEmail }}">{{ . }}</a> {{with $.Date}} <i class='fa fa-calendar'></i> {{ .Format "02/01/2006" }}{{end}}
</div>
{{end}}
</footer>
{{ partial "footer.html" . }}
=====================================================
== File: docs/community/themes/hugo-theme-learn/layouts/404.html
=====================================================
<!DOCTYPE html>
<html lang="{{ .Page.Language | default "en" }}" class="js csstransforms3d">
<head>
<meta charset="utf-8"> {{ partial "meta.html" . }} {{ partial "favicon.html" . }} {{ .Scratch.Add "title" "" }}{{ if eq .Site.Data.titles .Title }}{{ .Scratch.Set "title" (index .Site.Data.titles .Title).title }}{{ else }}{{ .Scratch.Set "title" .Title}}{{end}}
<title>{{ .Scratch.Get "title" }}</title>
{{ $assetBusting := not .Site.Params.disableAssetsBusting }}
<link href="{{"css/nucleus.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
<link href="{{"css/font-awesome.min.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
<link href="{{"css/hybrid.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
<link href="{{"css/featherlight.min.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
<link href="{{"css/perfect-scrollbar.min.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
<link href="{{"css/horsey.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
<link href="{{"css/theme.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
<link href="{{"css/hugo-theme.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
{{with .Site.Params.themeVariant}}
<link href="{{(printf "css/theme-%s.css" .) | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
{{end}}
<style type="text/css">
:root #header + #content > #left > #rlblock_left {
display: none !important;
}
p,
li,
ul {
text-align: center
}
ul {
list-style-type: none;
}
</style>
{{ partial "custom-header.html" . }}
</head>
<body>
<body class="" data-url="/">
<section id="body" style="margin-left:0px;">
<div id="overlay"></div>
<div id="chapter">
<div id="body-inner">
<h1>{{T "title-404"}}</h1>
<p>
</p>
<p>{{T "message-404"}}</p>
<p></p>
=====================================================
== File: docs/community/themes/hugo-theme-learn/layouts/partials/logo.html
=====================================================
<a id="logo" href="http://getgrav.org">
<svg id="grav-logo" width="100%" height="100%" viewBox="0 0 504 140" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xml:space="preserve" style="fill-rule:evenodd;clip-rule:evenodd;stroke-linejoin:round;stroke-miterlimit:1.41421;">
<path d="M235.832,71.564l-7.98,-0.001c-1.213,0.001 -2.197,0.987 -2.197,2.204l0,15.327l-0.158,0.132c-4.696,3.962 -10.634,6.14 -16.719,6.14c-14.356,0 -26.034,-11.68 -26.034,-26.037c0,-14.358 11.678,-26.035 26.034,-26.035c5.582,0 10.919,1.767 15.437,5.113c0.877,0.649 2.093,0.56 2.866,-0.211l5.69,-5.69c0.444,-0.442 0.675,-1.055 0.639,-1.681c-0.034,-0.627 -0.336,-1.206 -0.828,-1.597c-6.76,-5.363 -15.214,-8.314 -23.805,-8.314c-21.18,0 -38.414,17.233 -38.414,38.415c0,21.183 17.234,38.415 38.414,38.415c10.937,0 21.397,-4.705 28.698,-12.914c0.358,-0.403 0.556,-0.921 0.556,-1.46l0,-19.603c0,-1.217 -0.985,-2.203 -2.2,-2.203"
style="fill:#000;fill-rule:nonzero;"></path>
<path d="M502.794,34.445c-0.408,-0.616 -1.1,-0.989 -1.838,-0.989l-8.684,0c-0.879,0 -1.673,0.522 -2.022,1.329l-24.483,56.839l-24.92,-56.852c-0.352,-0.799 -1.142,-1.316 -2.012,-1.316l-8.713,0c-0.744,0 -1.44,0.373 -1.843,0.995c-0.408,0.623 -0.476,1.408 -0.174,2.09l30.186,68.858c0.352,0.799 1.143,1.317 2.017,1.317l10.992,0c0.879,0 1.673,-0.527 2.021,-1.329l29.655,-68.861c0.289,-0.68 0.222,-1.461 -0.182,-2.081"
style="fill:#000;fill-rule:nonzero;"></path>
<path d="M388.683,34.772c-0.353,-0.798 -1.142,-1.316 -2.017,-1.316l-10.988,0c-0.879,0 -1.673,0.522 -2.021,1.329l-29.655,68.861c-0.294,0.675 -0.226,1.46 0.182,2.077c0.407,0.619 1.096,0.993 1.838,0.993l8.684,0c0.879,0 1.673,-0.526 2.022,-1.329l24.478,-56.842l24.92,56.854c0.353,0.798 1.143,1.317 2.013,1.317l8.717,0c0.744,0 1.44,-0.374 1.843,-0.993c0.408,-0.624 0.471,-1.41 0.174,-2.094l-30.19,-68.857Z"
style="fill:#000;fill-rule:nonzero;"></path>
<path d="M309.196,81.525l0.476,-0.229c8.675,-4.191 14.279,-13.087 14.279,-22.667c0,-13.881 -11.295,-25.174 -25.176,-25.174l-31.863,0c-1.214,0 -2.199,0.988 -2.199,2.202l0,68.855c0,1.219 0.985,2.204 2.199,2.204l7.979,0c1.214,0 2.2,-0.985 2.2,-2.204l0,-58.679l21.684,0c7.059,0 12.799,5.739 12.799,12.796c0,5.885 -3.996,10.989 -9.728,12.408c-1.032,0.261 -2.064,0.393 -3.071,0.393l-7.977,0c-0.829,0 -1.585,0.467 -1.959,1.205c-0.378,0.74 -0.305,1.625 0.187,2.296l22.62,30.884c0.412,0.566 1.07,0.901 1.771,0.901l9.915,0c0.827,0 1.587,-0.467 1.96,-1.207c0.378,-0.742 0.302,-1.629 -0.186,-2.296l-15.91,-21.688Z"
style="fill:#000;fill-rule:nonzero;"></path>
<path d="M107.191,80.969c-7.255,-4.794 -11.4,-8.845 -15.011,-16.109c-2.47,4.977 -8.236,12.376 -17.962,18.198c-4.856,15.106 -27.954,44.015 -35.43,39.916c-2.213,-1.212 -2.633,-2.808 -2.133,-4.456c0.536,-4.129 9.078,-13.62 9.078,-13.62c0,0 0.18,1.992 2.913,6.187c-3.609,-11.205 5.965,-25.031 8.5,-29.738c3.985,-1.269 4.274,-6.387 4.274,-6.387c0.255,-7.909 -3.278,-13.635 -6.701,-17.059c2.459,3.002 3.255,7.539 3.372,11.694l0,0.023c0.012,0.469 0.012,0.93 0.011,1.39c-0.117,3.439 -1.157,8.19 -3.383,8.19l0.006,0.03c-2.289,-0.098 -5.115,0.391 -7.639,1.18l-5.582,1.334c0,0 2.977,-0.136 4.584,1.252c-1.79,2.915 -5.769,6.533 -10.206,8.588c-6.457,2.995 -8.312,-2.964 -5.034,-6.838c0.805,-0.946 1.618,-1.745 2.387,-2.399c-0.495,-0.513 -0.807,-1.198 -0.889,-2.068c-0.001,-0.005 -0.004,-0.009 -0.005,-0.013c-0.45,-1.977 -0.202,-4.543 2.596,-8.623c0.551,-0.863 1.214,-1.748 2.007,-2.647c0.025,-0.031 0.046,-0.059 0.072,-0.089c0.034,-0.042 0.072,-0.08 0.108,-0.121c0.02,-0.023 0.039,-0.045 0.059,-0.068c0.2,-0.228 0.413,-0.45 0.639,-0.663c3.334,-3.414 8.599,-6.966 16.897,-10.152c9.675,-14.223 13.219,-16.89 13.219,-16.89c1.071,-1.096 2.943,-2.458 3.632,-2.805c-5.053,-8.781 -6.074,-21.158 -4.75,-24.493c-0.107,0.18 -0.206,0.365 -0.287,0.556c0.49,-1.143 0.819,-1.509 1.328,-2.111c1.381,-1.632 6.058,-2.488 7.737,0.971c0.895,1.844 1.063,4.232 1.034,6.023c-3.704,-0.193 -7.063,4.036 -7.063,4.036c0,0 3.067,-1.448 6.879,-1.473c0,0 1.015,0.883 2.283,2.542c-1.712,3.213 -4.524,10.021 -2.488,17.168c0.338,1.408 0.849,2.619 1.483,3.648c0.024,0.045 0.044,0.089 0.069,0.135c0.051,0.066 0.096,0.122 0.144,0.183c3.368,5.072 9.542,5.665 9.542,5.665c-2.906,-1.45 -5.274,-3.76 -6.816,-6.56c-0.8,-1.498 -1.291,-2.762 -1.592,-3.761c-1.636,-6.313 0.771,-9.999 2.149,-12.471c3.17,-4.917 8.944,-7.893 15.151,-7.185c8.712,0.995 14.968,8.862 13.973,17.571c-0.608,5.321 -3.781,9.723 -8.142,12.117c1.049,2.839 -0.073,6.28 -0.073,6.28c2.642,3.323 2.758,5.238 2.667,7.017c-3.357,-0.565 -6.618,1.701 -6.618,1.701c0,0 6.476,-1.546 10.238,1.81c2.446,2.631 4.078,5.009 5.051,6.766c1.393,2.505 7.859,2.683 7.123,7.188c-0.737,4.499 -5.669,4.542 -13.401,-0.56M69.571,0c-38.424,0 -69.571,31.148 -69.571,69.567c0,38.422 31.147,69.573 69.571,69.573c38.42,0 69.568,-31.151 69.568,-69.573c0,-38.42 -31.148,-69.567 -69.568,-69.567"
style="fill:#000;fill-rule:nonzero;"></path>
<path d="M73.796,51.693c0.813,-0.814 0.813,-2.134 0,-2.947c-0.815,-0.814 -2.133,-0.814 -2.947,0c-0.815,0.813 -0.815,2.133 0,2.947c0.814,0.813 2.132,0.813 2.947,0" style="fill:#000;fill-rule:nonzero;"></path>
<path d="M66.445,53.149c-0.814,0.813 -0.814,2.133 0,2.947c0.813,0.814 2.133,0.814 2.947,0c0.813,-0.814 0.813,-2.134 0,-2.947c-0.814,-0.813 -2.134,-0.813 -2.947,0" style="fill:#000;fill-rule:nonzero;"></path>
<path d="M79.231,54.233c-1.274,-1.274 -3.339,-1.272 -4.611,0l-2.713,2.712c-1.274,1.275 -1.274,3.339 0,4.612l2.978,2.978c1.274,1.275 3.338,1.274 4.611,0l2.712,-2.712c1.274,-1.274 1.274,-3.339 0,-4.612l-2.977,-2.978Z" style="fill:#000;fill-rule:nonzero;"></path>
<path d="M95.759,41.445c-2.151,-2.578 1.869,-7.257 4.391,-4.463c4.645,5.148 -2.237,7.041 -4.391,4.463M105.004,44.132c3.442,-6.553 -1.427,-10.381 -4.773,-13.523c-5.36,-5.039 -10.706,-7.217 -16.811,-0.241c-6.102,6.977 -2.226,15.068 3.356,19.061c5.584,3.994 14.782,1.255 18.228,-5.297"
style="fill:#000;fill-rule:nonzero;"></path>
</svg>
</a>
=====================================================
== File: docs/community/themes/hugo-theme-learn/layouts/partials/change-theme.html
=====================================================
<div class="change-theme">
<div class="wrap">
{{ if eq .Lang "en"}}
<span data-item="retro">
<svg t="1649761460834" class="icon" viewBox="0 0 1243 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2052" width="16" height="16"><path d="M755.093336 61.436797a511.973304 511.973304 0 1 0 207.495466 693.650688l-99.615377-53.757197a398.827204 398.827204 0 1 1-161.637286-540.351253l53.757197-99.615378z" fill="#ffffff" p-id="2053"></path><path d="M1204.971593 188.84501L534.652259 736.217612l-285.242269-364.086159 86.304071-67.653615 216.199012 275.953611 583.649567-476.574007 69.335813 84.987568z" fill="#ffffff" p-id="2054"></path></svg>
Retro
</span>
<span data-item="eyehelp">
<svg t="1649761460834" class="icon" viewBox="0 0 1243 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2052" width="16" height="16"><path d="M755.093336 61.436797a511.973304 511.973304 0 1 0 207.495466 693.650688l-99.615377-53.757197a398.827204 398.827204 0 1 1-161.637286-540.351253l53.757197-99.615378z" fill="#ffffff" p-id="2053"></path><path d="M1204.971593 188.84501L534.652259 736.217612l-285.242269-364.086159 86.304071-67.653615 216.199012 275.953611 583.649567-476.574007 69.335813 84.987568z" fill="#ffffff" p-id="2054"></path></svg>
Eye care
</span>
<span data-item="haitian">
<svg t="1649761460834" class="icon" viewBox="0 0 1243 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2052" width="16" height="16"><path d="M755.093336 61.436797a511.973304 511.973304 0 1 0 207.495466 693.650688l-99.615377-53.757197a398.827204 398.827204 0 1 1-161.637286-540.351253l53.757197-99.615378z" fill="#ffffff" p-id="2053"></path><path d="M1204.971593 188.84501L534.652259 736.217612l-285.242269-364.086159 86.304071-67.653615 216.199012 275.953611 583.649567-476.574007 69.335813 84.987568z" fill="#ffffff" p-id="2054"></path></svg>
Haitian
</span>
<span data-item="deep">
<svg t="1649761460834" class="icon" viewBox="0 0 1243 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2052" width="16" height="16"><path d="M755.093336 61.436797a511.973304 511.973304 0 1 0 207.495466 693.650688l-99.615377-53.757197a398.827204 398.827204 0 1 1-161.637286-540.351253l53.757197-99.615378z" fill="#ffffff" p-id="2053"></path><path d="M1204.971593 188.84501L534.652259 736.217612l-285.242269-364.086159 86.304071-67.653615 216.199012 275.953611 583.649567-476.574007 69.335813 84.987568z" fill="#ffffff" p-id="2054"></path></svg>
Deep
</span>
<span data-item="dark">
<svg t="1649761460834" class="icon" viewBox="0 0 1243 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2052" width="16" height="16"><path d="M755.093336 61.436797a511.973304 511.973304 0 1 0 207.495466 693.650688l-99.615377-53.757197a398.827204 398.827204 0 1 1-161.637286-540.351253l53.757197-99.615378z" fill="#ffffff" p-id="2053"></path><path d="M1204.971593 188.84501L534.652259 736.217612l-285.242269-364.086159 86.304071-67.653615 216.199012 275.953611 583.649567-476.574007 69.335813 84.987568z" fill="#ffffff" p-id="2054"></path></svg>
Dark
</span>
<span class="active">
<svg t="1649761460834" class="icon" viewBox="0 0 1243 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2052" width="16" height="16"><path d="M755.093336 61.436797a511.973304 511.973304 0 1 0 207.495466 693.650688l-99.615377-53.757197a398.827204 398.827204 0 1 1-161.637286-540.351253l53.757197-99.615378z" fill="#ffffff" p-id="2053"></path><path d="M1204.971593 188.84501L534.652259 736.217612l-285.242269-364.086159 86.304071-67.653615 216.199012 275.953611 583.649567-476.574007 69.335813 84.987568z" fill="#ffffff" p-id="2054"></path></svg>
Default
</span>
{{ else }}
<span data-item="retro">
<svg t="1649761460834" class="icon" viewBox="0 0 1243 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2052" width="16" height="16"><path d="M755.093336 61.436797a511.973304 511.973304 0 1 0 207.495466 693.650688l-99.615377-53.757197a398.827204 398.827204 0 1 1-161.637286-540.351253l53.757197-99.615378z" fill="#ffffff" p-id="2053"></path><path d="M1204.971593 188.84501L534.652259 736.217612l-285.242269-364.086159 86.304071-67.653615 216.199012 275.953611 583.649567-476.574007 69.335813 84.987568z" fill="#ffffff" p-id="2054"></path></svg>
复古
</span>
<span data-item="eyehelp">
<svg t="1649761460834" class="icon" viewBox="0 0 1243 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2052" width="16" height="16"><path d="M755.093336 61.436797a511.973304 511.973304 0 1 0 207.495466 693.650688l-99.615377-53.757197a398.827204 398.827204 0 1 1-161.637286-540.351253l53.757197-99.615378z" fill="#ffffff" p-id="2053"></path><path d="M1204.971593 188.84501L534.652259 736.217612l-285.242269-364.086159 86.304071-67.653615 216.199012 275.953611 583.649567-476.574007 69.335813 84.987568z" fill="#ffffff" p-id="2054"></path></svg>
护眼
</span>
<span data-item="haitian">
<svg t="1649761460834" class="icon" viewBox="0 0 1243 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2052" width="16" height="16"><path d="M755.093336 61.436797a511.973304 511.973304 0 1 0 207.495466 693.650688l-99.615377-53.757197a398.827204 398.827204 0 1 1-161.637286-540.351253l53.757197-99.615378z" fill="#ffffff" p-id="2053"></path><path d="M1204.971593 188.84501L534.652259 736.217612l-285.242269-364.086159 86.304071-67.653615 216.199012 275.953611 583.649567-476.574007 69.335813 84.987568z" fill="#ffffff" p-id="2054"></path></svg>
海天
</span>
<span data-item="deep">
<svg t="1649761460834" class="icon" viewBox="0 0 1243 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2052" width="16" height="16"><path d="M755.093336 61.436797a511.973304 511.973304 0 1 0 207.495466 693.650688l-99.615377-53.757197a398.827204 398.827204 0 1 1-161.637286-540.351253l53.757197-99.615378z" fill="#ffffff" p-id="2053"></path><path d="M1204.971593 188.84501L534.652259 736.217612l-285.242269-364.086159 86.304071-67.653615 216.199012 275.953611 583.649567-476.574007 69.335813 84.987568z" fill="#ffffff" p-id="2054"></path></svg>
深邃
</span>
<span data-item="dark">
<svg t="1649761460834" class="icon" viewBox="0 0 1243 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2052" width="16" height="16"><path d="M755.093336 61.436797a511.973304 511.973304 0 1 0 207.495466 693.650688l-99.615377-53.757197a398.827204 398.827204 0 1 1-161.637286-540.351253l53.757197-99.615378z" fill="#ffffff" p-id="2053"></path><path d="M1204.971593 188.84501L534.652259 736.217612l-285.242269-364.086159 86.304071-67.653615 216.199012 275.953611 583.649567-476.574007 69.335813 84.987568z" fill="#ffffff" p-id="2054"></path></svg>
暗黑
</span>
<span class="active">
<svg t="1649761460834" class="icon" viewBox="0 0 1243 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2052" width="16" height="16"><path d="M755.093336 61.436797a511.973304 511.973304 0 1 0 207.495466 693.650688l-99.615377-53.757197a398.827204 398.827204 0 1 1-161.637286-540.351253l53.757197-99.615378z" fill="#ffffff" p-id="2053"></path><path d="M1204.971593 188.84501L534.652259 736.217612l-285.242269-364.086159 86.304071-67.653615 216.199012 275.953611 583.649567-476.574007 69.335813 84.987568z" fill="#ffffff" p-id="2054"></path></svg>
=====================================================
== File: docs/community/themes/hugo-theme-learn/layouts/partials/language.html
=====================================================
{{ $currentNode := . }}
{{ $showvisitedlinks := .Site.Params.showVisitedLinks }}
{{ if or .Site.IsMultiLingual $showvisitedlinks }}
<section id="prefooter">
<!-- <hr/> -->
<ul>
{{ if and .Site.IsMultiLingual (not .Site.Params.DisableLanguageSwitchingButton)}}
<li>
<a class="padding">
<i class="fa fa-fw fa-language"></i>
<div class="select-style">
<select id="select-language" onchange="location = this.value;">
{{ $siteLanguages := .Site.Languages}}
{{ $pageLang := .Page.Lang}}
{{ range .Page.AllTranslations }}
{{ $translation := .}}
{{ range $siteLanguages }}
{{ if eq $translation.Lang .Lang }}
{{ $selected := false }}
{{ if eq $pageLang .Lang}}
<option id="{{ $translation.Language }}" value="{{ $translation.URL }}" selected>{{ .LanguageName }}</option>
{{ else }}
<option id="{{ $translation.Language }}" value="{{ $translation.URL }}">{{ .LanguageName }}</option>
{{ end }}
{{ end }}
{{ end }}
{{ end }}
</select>
<svg t="1645437162166" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2449" width="32" height="32"><path d="M483.072 714.496l30.165333 30.208 415.957334-415.829333a42.837333 42.837333 0 0 0 0-60.288 42.538667 42.538667 0 0 0-60.330667-0.042667l-355.541333 355.413333-355.242667-355.413333a42.496 42.496 0 0 0-60.288 0 42.837333 42.837333 0 0 0-0.085333 60.330667l383.701333 383.872 1.706667 1.749333z" fill="#3D3D3D" p-id="2450"></path></svg>
</div>
</a>
</li>
{{end}}
{{ if $showvisitedlinks}}
<li><a class="padding" href="#" data-clear-history-toggle=""><i class="fa fa-fw fa-history"></i> {{T "Clear-History"}}</a></li>
{{ end }}
</ul>
</section>
{{ end }}
=====================================================
== File: docs/community/themes/hugo-theme-learn/layouts/partials/footer.html
=====================================================
{{ if .Params.chapter }}
</div> <!-- end chapter-->
{{ end }}
</div>
{{ partial "custom-comments.html" . }}
</div>
<div id="navigation" >
<!-- Next prev page -->
{{ $currentNode := . }}
{{ template "menu-nextprev" dict "menu" .Site.Home "currentnode" $currentNode }}
{{ define "menu-nextprev" }}
{{$currentNode := .currentnode }}
{{ if ne .menu.Params.hidden true}}
{{if hasPrefix $currentNode.URL .menu.URL }}
{{ $currentNode.Scratch.Set "NextPageOK" "OK" }}
{{ $currentNode.Scratch.Set "prevPage" ($currentNode.Scratch.Get "prevPageTmp") }}
{{else}}
{{if eq ($currentNode.Scratch.Get "NextPageOK") "OK"}}
{{ $currentNode.Scratch.Set "NextPageOK" nil }}
{{ $currentNode.Scratch.Set "nextPage" .menu }}
{{end}}
{{end}}
{{ $currentNode.Scratch.Set "prevPageTmp" .menu }}
{{ $currentNode.Scratch.Set "pages" .menu.Pages }}
{{ if .menu.IsHome}}
{{ $currentNode.Scratch.Set "pages" .menu.Sections }}
{{ else if .menu.Sections}}
{{ $currentNode.Scratch.Set "pages" (.menu.Pages | union .menu.Sections) }}
{{end}}
{{ $pages := ($currentNode.Scratch.Get "pages") }}
{{ range $pages.ByWeight }}
{{ template "menu-nextprev" dict "menu" . "currentnode" $currentNode }}
{{end}}
{{ end }}
{{ end }}
{{with ($.Scratch.Get "prevPage")}}
{{ if eq .Lang "en"}}
<a class="nav nav-prev" href="{{.URL}}" title="{{.Title}}"> <i class="fa fa-long-arrow-left fa-lg"></i> Previous</a>
{{ else }}
<a class="nav nav-prev" href="{{.URL}}" title="{{.Title}}"> <i class="fa fa-long-arrow-left fa-lg"></i> 上一篇</a>
{{end}}
{{end}}
{{with ($.Scratch.Get "nextPage")}}
=====================================================
== File: docs/community/themes/hugo-theme-learn/layouts/partials/logo copy.html
=====================================================
<a id="logo" href="http://getgrav.org">
<svg id="grav-logo" width="100%" height="100%" viewBox="0 0 504 140" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xml:space="preserve" style="fill-rule:evenodd;clip-rule:evenodd;stroke-linejoin:round;stroke-miterlimit:1.41421;">
<path d="M235.832,71.564l-7.98,-0.001c-1.213,0.001 -2.197,0.987 -2.197,2.204l0,15.327l-0.158,0.132c-4.696,3.962 -10.634,6.14 -16.719,6.14c-14.356,0 -26.034,-11.68 -26.034,-26.037c0,-14.358 11.678,-26.035 26.034,-26.035c5.582,0 10.919,1.767 15.437,5.113c0.877,0.649 2.093,0.56 2.866,-0.211l5.69,-5.69c0.444,-0.442 0.675,-1.055 0.639,-1.681c-0.034,-0.627 -0.336,-1.206 -0.828,-1.597c-6.76,-5.363 -15.214,-8.314 -23.805,-8.314c-21.18,0 -38.414,17.233 -38.414,38.415c0,21.183 17.234,38.415 38.414,38.415c10.937,0 21.397,-4.705 28.698,-12.914c0.358,-0.403 0.556,-0.921 0.556,-1.46l0,-19.603c0,-1.217 -0.985,-2.203 -2.2,-2.203"
style="fill:#000;fill-rule:nonzero;"></path>
<path d="M502.794,34.445c-0.408,-0.616 -1.1,-0.989 -1.838,-0.989l-8.684,0c-0.879,0 -1.673,0.522 -2.022,1.329l-24.483,56.839l-24.92,-56.852c-0.352,-0.799 -1.142,-1.316 -2.012,-1.316l-8.713,0c-0.744,0 -1.44,0.373 -1.843,0.995c-0.408,0.623 -0.476,1.408 -0.174,2.09l30.186,68.858c0.352,0.799 1.143,1.317 2.017,1.317l10.992,0c0.879,0 1.673,-0.527 2.021,-1.329l29.655,-68.861c0.289,-0.68 0.222,-1.461 -0.182,-2.081"
style="fill:#000;fill-rule:nonzero;"></path>
<path d="M388.683,34.772c-0.353,-0.798 -1.142,-1.316 -2.017,-1.316l-10.988,0c-0.879,0 -1.673,0.522 -2.021,1.329l-29.655,68.861c-0.294,0.675 -0.226,1.46 0.182,2.077c0.407,0.619 1.096,0.993 1.838,0.993l8.684,0c0.879,0 1.673,-0.526 2.022,-1.329l24.478,-56.842l24.92,56.854c0.353,0.798 1.143,1.317 2.013,1.317l8.717,0c0.744,0 1.44,-0.374 1.843,-0.993c0.408,-0.624 0.471,-1.41 0.174,-2.094l-30.19,-68.857Z"
style="fill:#000;fill-rule:nonzero;"></path>
<path d="M309.196,81.525l0.476,-0.229c8.675,-4.191 14.279,-13.087 14.279,-22.667c0,-13.881 -11.295,-25.174 -25.176,-25.174l-31.863,0c-1.214,0 -2.199,0.988 -2.199,2.202l0,68.855c0,1.219 0.985,2.204 2.199,2.204l7.979,0c1.214,0 2.2,-0.985 2.2,-2.204l0,-58.679l21.684,0c7.059,0 12.799,5.739 12.799,12.796c0,5.885 -3.996,10.989 -9.728,12.408c-1.032,0.261 -2.064,0.393 -3.071,0.393l-7.977,0c-0.829,0 -1.585,0.467 -1.959,1.205c-0.378,0.74 -0.305,1.625 0.187,2.296l22.62,30.884c0.412,0.566 1.07,0.901 1.771,0.901l9.915,0c0.827,0 1.587,-0.467 1.96,-1.207c0.378,-0.742 0.302,-1.629 -0.186,-2.296l-15.91,-21.688Z"
style="fill:#000;fill-rule:nonzero;"></path>
<path d="M107.191,80.969c-7.255,-4.794 -11.4,-8.845 -15.011,-16.109c-2.47,4.977 -8.236,12.376 -17.962,18.198c-4.856,15.106 -27.954,44.015 -35.43,39.916c-2.213,-1.212 -2.633,-2.808 -2.133,-4.456c0.536,-4.129 9.078,-13.62 9.078,-13.62c0,0 0.18,1.992 2.913,6.187c-3.609,-11.205 5.965,-25.031 8.5,-29.738c3.985,-1.269 4.274,-6.387 4.274,-6.387c0.255,-7.909 -3.278,-13.635 -6.701,-17.059c2.459,3.002 3.255,7.539 3.372,11.694l0,0.023c0.012,0.469 0.012,0.93 0.011,1.39c-0.117,3.439 -1.157,8.19 -3.383,8.19l0.006,0.03c-2.289,-0.098 -5.115,0.391 -7.639,1.18l-5.582,1.334c0,0 2.977,-0.136 4.584,1.252c-1.79,2.915 -5.769,6.533 -10.206,8.588c-6.457,2.995 -8.312,-2.964 -5.034,-6.838c0.805,-0.946 1.618,-1.745 2.387,-2.399c-0.495,-0.513 -0.807,-1.198 -0.889,-2.068c-0.001,-0.005 -0.004,-0.009 -0.005,-0.013c-0.45,-1.977 -0.202,-4.543 2.596,-8.623c0.551,-0.863 1.214,-1.748 2.007,-2.647c0.025,-0.031 0.046,-0.059 0.072,-0.089c0.034,-0.042 0.072,-0.08 0.108,-0.121c0.02,-0.023 0.039,-0.045 0.059,-0.068c0.2,-0.228 0.413,-0.45 0.639,-0.663c3.334,-3.414 8.599,-6.966 16.897,-10.152c9.675,-14.223 13.219,-16.89 13.219,-16.89c1.071,-1.096 2.943,-2.458 3.632,-2.805c-5.053,-8.781 -6.074,-21.158 -4.75,-24.493c-0.107,0.18 -0.206,0.365 -0.287,0.556c0.49,-1.143 0.819,-1.509 1.328,-2.111c1.381,-1.632 6.058,-2.488 7.737,0.971c0.895,1.844 1.063,4.232 1.034,6.023c-3.704,-0.193 -7.063,4.036 -7.063,4.036c0,0 3.067,-1.448 6.879,-1.473c0,0 1.015,0.883 2.283,2.542c-1.712,3.213 -4.524,10.021 -2.488,17.168c0.338,1.408 0.849,2.619 1.483,3.648c0.024,0.045 0.044,0.089 0.069,0.135c0.051,0.066 0.096,0.122 0.144,0.183c3.368,5.072 9.542,5.665 9.542,5.665c-2.906,-1.45 -5.274,-3.76 -6.816,-6.56c-0.8,-1.498 -1.291,-2.762 -1.592,-3.761c-1.636,-6.313 0.771,-9.999 2.149,-12.471c3.17,-4.917 8.944,-7.893 15.151,-7.185c8.712,0.995 14.968,8.862 13.973,17.571c-0.608,5.321 -3.781,9.723 -8.142,12.117c1.049,2.839 -0.073,6.28 -0.073,6.28c2.642,3.323 2.758,5.238 2.667,7.017c-3.357,-0.565 -6.618,1.701 -6.618,1.701c0,0 6.476,-1.546 10.238,1.81c2.446,2.631 4.078,5.009 5.051,6.766c1.393,2.505 7.859,2.683 7.123,7.188c-0.737,4.499 -5.669,4.542 -13.401,-0.56M69.571,0c-38.424,0 -69.571,31.148 -69.571,69.567c0,38.422 31.147,69.573 69.571,69.573c38.42,0 69.568,-31.151 69.568,-69.573c0,-38.42 -31.148,-69.567 -69.568,-69.567"
style="fill:#000;fill-rule:nonzero;"></path>
<path d="M73.796,51.693c0.813,-0.814 0.813,-2.134 0,-2.947c-0.815,-0.814 -2.133,-0.814 -2.947,0c-0.815,0.813 -0.815,2.133 0,2.947c0.814,0.813 2.132,0.813 2.947,0" style="fill:#000;fill-rule:nonzero;"></path>
<path d="M66.445,53.149c-0.814,0.813 -0.814,2.133 0,2.947c0.813,0.814 2.133,0.814 2.947,0c0.813,-0.814 0.813,-2.134 0,-2.947c-0.814,-0.813 -2.134,-0.813 -2.947,0" style="fill:#000;fill-rule:nonzero;"></path>
<path d="M79.231,54.233c-1.274,-1.274 -3.339,-1.272 -4.611,0l-2.713,2.712c-1.274,1.275 -1.274,3.339 0,4.612l2.978,2.978c1.274,1.275 3.338,1.274 4.611,0l2.712,-2.712c1.274,-1.274 1.274,-3.339 0,-4.612l-2.977,-2.978Z" style="fill:#000;fill-rule:nonzero;"></path>
<path d="M95.759,41.445c-2.151,-2.578 1.869,-7.257 4.391,-4.463c4.645,5.148 -2.237,7.041 -4.391,4.463M105.004,44.132c3.442,-6.553 -1.427,-10.381 -4.773,-13.523c-5.36,-5.039 -10.706,-7.217 -16.811,-0.241c-6.102,6.977 -2.226,15.068 3.356,19.061c5.584,3.994 14.782,1.255 18.228,-5.297"
style="fill:#000;fill-rule:nonzero;"></path>
</svg>
</a>
=====================================================
== File: docs/community/themes/hugo-theme-learn/layouts/partials/meta.html
=====================================================
<meta name="description" content="{{ with .Description }}{{ . }}{{ else }}{{ with .Site.Params.description }}{{ . }}{{ end }}{{ end }}">
<meta name="buildDate" content="{{ now.Format "2006-01-02 15:04:05" }}">
{{ with .Site.Params.author }}<meta name="author" content="{{ . }}">{{ end }}
=====================================================
== File: docs/community/themes/hugo-theme-learn/layouts/partials/menu.html
=====================================================
<nav id="sidebar" class="{{if $.Site.Params.showVisitedLinks }}showVisitedLinks{{end}}">
{{ $currentNode := . }}
{{ $showvisitedlinks := .Site.Params.showVisitedLinks }}
<div id="header-wrapper">
<!-- <div id="header">
{{ partial "logo.html" . }}
</div> -->
{{if not .Site.Params.disableSearch}}
{{ partial "search.html" . }}
{{end}}
</div>
<div class="highlightable">
<div class="leftMenu">
<ul class="topics">
{{if eq .Site.Params.ordersectionsby "title"}}
{{range .Site.Home.Sections.ByTitle}}
{{ template "section-tree-nav" dict "sect" . "currentnode" $currentNode "showvisitedlinks" $showvisitedlinks}}
{{end}}
{{else}}
{{range .Site.Home.Sections.ByWeight}}
{{ template "section-tree-nav" dict "sect" . "currentnode" $currentNode "showvisitedlinks" $showvisitedlinks}}
{{end}}
{{end}}
</ul>
{{ $disableShortcutsTitle := .Site.Params.DisableShortcutsTitle}}
{{with .Site.Menus.shortcuts}}
<section id="shortcuts">
<h3>{{ if not $disableShortcutsTitle}}{{ T "Shortcuts-Title"}}{{ end }}</h3>
<ul>
{{ range sort . "Weight"}}
<li>
{{.Pre}}<a class="padding" href="{{.URL | absLangURL }}">{{safeHTML .Name}}</a>{{.Post}}
</li>
{{end}}
</ul>
</section>
{{end}}
</div>
<!-- {{ partial "language.html" . }} -->
<!-- download button -->
<!-- <hr /> -->
<!-- {{ if eq .Lang "en"}} -->
<!-- <a class="padding" href="{{"https://shardingsphere.apache.org/pdf/shardingsphere_docs_en.pdf" | absURL}}"> -->
<!--i class="fa fa-fw fa-file-pdf-o" ></i> >Download PDF< is a placeholder-->
<!-- {{ else }} -->
=====================================================
== File: docs/community/themes/hugo-theme-learn/layouts/partials/favicon.html
=====================================================
<link rel="shortcut icon" href="{{"images/favicon.png" | relURL}}" type="image/x-icon" />
<link rel="icon" href="{{"images/favicon.png" | relURL}}" type="image/x-icon" />
=====================================================
== File: docs/community/themes/hugo-theme-learn/layouts/partials/search.html
=====================================================
<div class="searchbox">
<label for="search-by"><i class="fa fa-search"></i></label>
<input data-search-input id="search-by" type="text" placeholder="{{T "Search-placeholder"}}">
<span data-search-clear=""><i class="fa fa-close"></i></span>
</div>
{{ $assetBusting := not .Site.Params.disableAssetsBusting }}
<script type="text/javascript" src="{{"js/lunr.min.js" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}"></script>
<script type="text/javascript" src="{{"js/auto-complete.js" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}"></script>
<script type="text/javascript">
{{ if .Site.IsMultiLingual }}
var baseurl = "{{.Site.LanguagePrefix | relURL }}";
{{ else }}
var baseurl = '{{ "" | relURL }}';
{{ end }}
</script>
<script type="text/javascript" src="{{"js/search.js" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}"></script>
=====================================================
== File: docs/community/themes/hugo-theme-learn/layouts/partials/menu-footer.html
=====================================================
<p>Built with <a href="https://github.com/matcornic/hugo-theme-learn"><i class="fa fa-heart"></i></a> from <a href="http://getgrav.org">Grav</a> and <a href="http://gohugo.io/">Hugo</a></p>
=====================================================
== File: docs/community/themes/hugo-theme-learn/layouts/partials/custom-footer.html
=====================================================
<!-- Partial intended to be overwritten with tags loaded at the end of the page loading (usually for Javascript)
<script>
console.log("running some javascript");
</script>
-->
=====================================================
== File: docs/community/themes/hugo-theme-learn/layouts/partials/toc.html
=====================================================
<div class="progress">
<div class="wrapper">
{{ .TableOfContents }}
</div>
</div>
=====================================================
== File: docs/community/themes/hugo-theme-learn/layouts/partials/header.html
=====================================================
<!DOCTYPE html>
<html lang="{{ .Page.Language | default "en" }}" class="js csstransforms3d">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, maximum-scale=1, user-scalable=no">
{{ .Hugo.Generator }}
{{ partial "meta.html" . }}
{{ partial "favicon.html" . }}
<title>{{ .Title }} :: {{ .Site.Title }}</title>
{{ $assetBusting := not .Site.Params.disableAssetsBusting }}
<link href="{{"css/nucleus.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
<link href="{{"css/font-awesome.min.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
<link href="{{"css/hybrid.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
<link href="{{"css/featherlight.min.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
<link href="{{"css/perfect-scrollbar.min.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
<link href="{{"css/auto-complete.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
<link href="{{"css/theme.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
<link href="{{"css/hugo-theme.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
{{with .Site.Params.themeVariant}}
<link href="{{(printf "css/theme-%s.css" .) | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
{{end}}
<script src="{{"js/jquery-2.x.min.js"| relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}"></script>
<!-- baidu Analytics -->
<script>
var _hmt = _hmt || [];
(function() {
var hm = document.createElement("script");
hm.src = "https://hm.baidu.com/hm.js?d5a1dc8dcf63a64ee55b80de01c7fb1a";
var s = document.getElementsByTagName("script")[0];
s.parentNode.insertBefore(hm, s);
})();
</script>
<!-- Global site tag (gtag.js) - Google Analytics -->
<script async src="https://www.googletagmanager.com/gtag/js?id=G-HPVGEN405S"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){window.dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'G-HPVGEN405S');
</script>
<style type="text/css">
:root #header + #content > #left > #rlblock_left{
display:none !important;
}
{{ if .Site.Params.disableInlineCopyToClipBoard }}
:not(pre) > code + span.copy-to-clipboard {
=====================================================
== File: docs/community/themes/hugo-theme-learn/layouts/partials/custom-header.html
=====================================================
<!-- Partial intended to be overwritten to add custom headers, like CSS or any other info
<style type="text/css">
/* Custom css */
</style>
-->
=====================================================
== File: docs/community/themes/hugo-theme-learn/layouts/partials/custom-comments.html
=====================================================
<!-- import your comments system
{{ template "_internal/disqus.html" . }}
-->
=====================================================
== File: docs/community/themes/hugo-theme-learn/layouts/index.html
=====================================================
{{ partial "header.html" . }}
<span id="sidebar-toggle-span">
<a href="#" id="sidebar-toggle" data-sidebar-toggle=""><i class="fa fa-bars"></i> navigation</a>
</span>
{{if .Site.Home.Content }}
{{.Site.Home.Content}}
{{else}}
{{if eq .Site.Language.Lang "fr"}}
<h1>Personaliser la page d'accueil</h1>
<p>
Le site fonctionne. Ne pas oublier de personaliser cette page avec votre propre contenu. 3 manières de faire :
</p>
<ul>
<li><b>1. </b> Créer un fichier _index.md dans le dossier <b>content</b> et le remplir de Markdown</li>
<li><b>2. </b> Créer un fichier index.html dans le dossier <b>static</b> et le remplir de code HTML</li>
<li><b>3. </b> Configurer le serveur http pour rediriger automatiquement la homepage vers la page de votre choix dans le site</li>
</ul>
{{else}}
<h1>Customize your own home page</h1>
<p>
The site is working. Don't forget to customize this homepage with your own. You typically have 3 choices :
</p>
<ul>
<li><b>1. </b> Create an _index.md document in <b>content</b> folder and fill it with Markdown content</li>
<li><b>2. </b> Create an <b>index.html</b> file in the <b>static</b> folder and fill the file with HTML content</li>
<li><b>3. </b> Configure your server to automatically redirect home page to one your documentation page</li>
</ul>
{{end}}
{{ end }}
{{ partial "footer.html" . }}
=====================================================
== File: docs/community/themes/hugo-theme-learn/layouts/shortcodes/notice.html
=====================================================
<div class="notices {{ .Get 0 }}" {{ if len .Params | eq 2 }} id="{{ .Get 1 }}" {{ end }}>{{ .Inner }}</div>
=====================================================
== File: docs/community/themes/hugo-theme-learn/layouts/shortcodes/ref.html
=====================================================
{{- if in (.Get 0) "/_index.md" -}}
{{- $paths := (split (.Get 0) "_index.md") -}}
{{- $pagepath := index $paths 0 -}}
{{- $anchor := index $paths 1 -}}
{{- with .Site.GetPage "section" (trim $pagepath "/") -}}
{{- ( printf "%s%s" $pagepath $anchor ) | relLangURL -}}
{{- end -}}
{{- else -}}
{{- with .Site.GetPage "section" (.Get 0) }}
{{- .URL -}}
{{- else -}}
{{- .Get 0 | relref .Page -}}
{{- end -}}
{{- end -}}
=====================================================
== File: docs/community/themes/hugo-theme-learn/layouts/shortcodes/attachments.html
=====================================================
<section class="attachments {{ with .Get "style"}}{{.}}{{ end }}">
<label>
<i class="fa fa-paperclip" aria-hidden="true"></i>
{{with .Get "title"}}{{.}}{{else}}{{T "Attachments-label"}}{{end}}
</label>
{{if eq .Page.File.BaseFileName "index"}}
{{$.Scratch.Add "filesName" "files"}}
{{else}}
{{$.Scratch.Add "filesName" (printf "%s.files" .Page.File.BaseFileName)}}
{{end}}
<div class="attachments-files">
{{ range (readDir (printf "./content/%s%s" .Page.File.Dir ($.Scratch.Get "filesName")) ) }}
{{ $fileDir := replace $.Page.File.Dir "\\" "/" }}
{{if ($.Get "pattern")}}
{{if (findRE ($.Get "pattern") .Name)}}
<li>
<a href="{{ (printf "%s%s/%s" $fileDir ($.Scratch.Get "filesName") .Name) | relURL }}" >
{{.Name}}
</a>
({{div .Size 1024 }} ko)
</li>
{{end}}
{{else}}
<li>
<a href="{{ (printf "%s%s/%s" $fileDir ($.Scratch.Get "filesName") .Name) | relURL }}" >
{{.Name}}
</a>
({{div .Size 1024 }} ko)
</li>
{{end}}
{{end}}
<div>
{{.Inner}}
</section>
=====================================================
== File: docs/community/themes/hugo-theme-learn/layouts/shortcodes/children.html
=====================================================
{{ $showhidden := .Get "showhidden"}}
{{ $style := .Get "style" | default "li" }}
{{ $depth := .Get "depth" | default 1 }}
{{ $withDescription := .Get "description" | default false }}
{{ $sortTerm := .Get "sort" | default "Weight" }}
<ul class="children children-{{$style}}">
{{ .Scratch.Set "pages" .Page.Pages }}
{{ if .Page.Sections}}
{{ .Scratch.Set "pages" (.Page.Pages | union .Page.Sections) }}
{{end}}
{{ $pages := (.Scratch.Get "pages") }}
{{if eq $sortTerm "Weight"}}
{{template "childs" dict "menu" $pages.ByWeight "style" $style "showhidden" $showhidden "count" 1 "depth" $depth "pages" .Site.Pages "description" $withDescription "sortTerm" $sortTerm}}
{{else if eq $sortTerm "Name"}}
{{template "childs" dict "menu" $pages.ByTitle "style" $style "showhidden" $showhidden "count" 1 "depth" $depth "pages" .Site.Pages "description" $withDescription "sortTerm" $sortTerm}}
{{else if eq $sortTerm "PublishDate"}}
{{template "childs" dict "menu" $pages.ByPublishDate "style" $style "showhidden" $showhidden "count" 1 "depth" $depth "pages" .Site.Pages "description" $withDescription "sortTerm" $sortTerm}}
{{else if eq $sortTerm "Date"}}
{{template "childs" dict "menu" $pages.ByDate "style" $style "showhidden" $showhidden "count" 1 "depth" $depth "pages" .Site.Pages "description" $withDescription "sortTerm" $sortTerm}}
{{else if eq $sortTerm "Length"}}
{{template "childs" dict "menu" $pages.ByLength "style" $style "showhidden" $showhidden "count" 1 "depth" $depth "pages" .Site.Pages "description" $withDescription "sortTerm" $sortTerm}}
{{else}}
{{template "childs" dict "menu" $pages "style" $style "showhidden" $showhidden "count" 1 "depth" $depth "pages" .Site.Pages "description" $withDescription "sortTerm" $sortTerm}}
{{end}}
</ul>
{{.Inner|safeHTML}}
{{ define "childs" }}
{{ range .menu }}
{{ if and .Params.hidden (not $.showhidden) }}
{{else}}
{{if hasPrefix $.style "h"}}
{{$num := sub ( int (trim $.style "h") ) 1 }}
{{$numn := add $num $.count }}
{{(printf "<h%d>" $numn)|safeHTML}}
<a href="{{.URL}}" >{{ .Title }}</a>
{{(printf "</h%d>" $numn)|safeHTML}}
{{else}}
{{(printf "<%s>" $.style)|safeHTML}}
<a href="{{.URL}}" >{{ .Title }}</a>
{{(printf "</%s>" $.style)|safeHTML}}
{{end}}
=====================================================
== File: docs/community/themes/hugo-theme-learn/layouts/shortcodes/button.html
=====================================================
<a {{ with .Get "href"}} href="{{.}}" target="_blank" {{ end }} class="btn btn-default">
{{ $icon := .Get "icon" }}
{{ $iconposition := .Get "icon-position" }}
{{ if ($icon) }}
{{ if or (not ($iconposition)) (eq $iconposition "left") }}
<i class="{{$icon}}"></i>
{{ end }}
{{ end }}
{{ .Inner }}
{{ if and ($icon) (eq $iconposition "right")}}
<i class="{{$icon}}"></i>
{{ end }}
</a>
=====================================================
== File: docs/community/themes/hugo-theme-learn/layouts/shortcodes/mermaid.html
=====================================================
<div class="mermaid" align="{{ if .Get "align" }}{{ .Get "align" }}{{ else }}center{{ end }}">{{ safeHTML .Inner }}</div>
=====================================================
== File: docs/community/themes/hugo-theme-learn/layouts/shortcodes/expand.html
=====================================================
<div class="expand">
<div class="expand-label" style="cursor: pointer;" onclick="$h = $(this);$h.next('div').slideToggle(100,function () {$h.children('i').attr('class',function () {return $h.next('div').is(':visible') ? 'fa fa-chevron-down' : 'fa fa-chevron-right';});});">
<i style="font-size:x-small;" class="fa fa-chevron-right"></i>
<span>
{{$expandMessage := T "Expand-title"}}
{{ if .IsNamedParams }}
{{.Get "default" | default $expandMessage}}
{{else}}
{{.Get 0 | default $expandMessage}}
{{end}}
</span>
</div>
<div class="expand-content" style="display: none;">
{{.Inner | safeHTML}}
</div>
</div>
=====================================================
== File: docs/community/themes/hugo-theme-learn/layouts/shortcodes/relref.html
=====================================================
{{- if in (.Get 0) "/_index.md" -}}
{{- $paths := (split (.Get 0) "_index.md") -}}
{{- $pagepath := index $paths 0 -}}
{{- $anchor := index $paths 1 -}}
{{- with .Site.GetPage "section" (trim $pagepath "/") -}}
{{- ( printf "%s%s" $pagepath $anchor ) | relLangURL -}}
{{- end -}}
{{- else -}}
{{- with .Site.GetPage "section" (.Get 0) }}
{{- .URL -}}
{{- else -}}
{{- .Get 0 | relref .Page -}}
{{- end -}}
{{- end -}}
=====================================================
== File: docs/community/themes/hugo-theme-learn/layouts/shortcodes/siteparam.html
=====================================================
{{- $paramName := (.Get 0) -}}
{{- $siteParams := .Site.Params -}}
{{- with $paramName -}}
{{- with $siteParams -}}
{{- index . (lower $paramName) -}}
{{- end -}}
{{- end -}}
=====================================================
== File: docs/community/themes/hugo-theme-learn/i18n/pt.toml
=====================================================
[Search-placeholder]
other = "Procurar..."
[Clear-History]
other = "Limpar Histórico"
[Attachments-label]
other = "Anexos"
[title-404]
other = "Erro"
[message-404]
other = "Ops. Parece que a página não existe ¯\\_(ツ)_/¯."
[Go-to-homepage]
other = "Ir para o início"
[Edit-this-page]
other = "Editar esta página"
[Shortcuts-Title]
other = "Mais"
[Expand-title]
other = "Expandir..."
=====================================================
== File: docs/community/themes/hugo-theme-learn/i18n/en.toml
=====================================================
[Search-placeholder]
other = "Search..."
[Clear-History]
other = "Clear History"
[Attachments-label]
other = "Attachments"
[title-404]
other = "Error"
[message-404]
other = "Woops. Looks like this page doesn't exist ¯\\_(ツ)_/¯."
[Go-to-homepage]
other = "Go to homepage"
[Edit-this-page]
other = "Edit this page"
[Shortcuts-Title]
other = "More"
[Expand-title]
other = "Expand me..."
=====================================================
== File: docs/community/themes/hugo-theme-learn/i18n/fr.toml
=====================================================
[Search-placeholder]
other = "Rechercher..."
[Clear-History]
other = "Supprimer l'historique"
[Attachments-label]
other = "Pièces jointes"
[title-404]
other = "Erreur"
[message-404]
other = "Oups. On dirait que cette page n'existe pas ¯\\_(ツ)_/¯"
[Go-to-homepage]
other = "Vers la page d'accueil"
[Edit-this-page]
other = "Modifier la page"
[Shortcuts-Title]
other = "Aller plus loin"
[Expand-title]
other = "Déroulez-moi..."
=====================================================
== File: docs/community/themes/hugo-theme-learn/i18n/es.toml
=====================================================
[Search-placeholder]
other = "Buscar..."
[Clear-History]
other = "Borrar Historial"
[Attachments-label]
other = "Adjuntos"
[title-404]
other = "Error"
[message-404]
other = "Ups. Parece que la página no existe ¯\\_(ツ)_/¯."
[Go-to-homepage]
other = "Ir al inicio"
[Edit-this-page]
other = "Editar esta página"
[Shortcuts-Title]
other = "Más"
[Expand-title]
other = "Expandir..."
=====================================================
== File: docs/community/themes/hugo-theme-learn/wercker.yml
=====================================================
box: golang
build:
steps:
# Sets the go workspace and places you package
# at the right place in the workspace tree
- setup-go-workspace
# Gets the dependencies
- script:
name: get hugo
code: |
go get github.com/gohugoio/hugo
# Build the project
- script:
name: build site
code: |
cd exampleSite && hugo
=====================================================
== File: docs/community/themes/hugo-theme-learn/archetypes/default.cn.md
=====================================================
+++
title = "{{ replace .TranslationBaseName "-" " " | title }}"
date = {{ .Date }}
weight = 5
+++
Lorem Ipsum.
=====================================================
== File: docs/community/themes/hugo-theme-learn/archetypes/chapter.cn.md
=====================================================
+++
title = "{{ replace .TranslationBaseName "-" " " | title }}"
date = {{ .Date }}
weight = 5
chapter = true
pre = "<b>X. </b>"
+++
### Chapter X
# Some Chapter title
Lorem Ipsum.
=====================================================
== File: docs/community/content/security/_index.en.md
=====================================================
+++
pre = "<b>4. </b>"
title = "Security"
weight = 4
chapter = true
+++
The Apache Software Foundation takes a rigorous stance on eliminating security issues in its software projects.
Likewise, Apache ShardingSphere is also vigilant and takes security issues related to its features and functionality into the highest consideration.
If you have any concerns regarding ShardingSphere’s security, or you discover a vulnerability or potential threat, please don’t hesitate to get in touch with the [Apache Security Team](http://www.apache.org/security/) by dropping an email at [security@apache.org](mailto:security@apache.org).
Please specify the project name as "ShardingSphere" and its product name "ShardingSphere-JDBC" or "ShardingSphere-Proxy" in the email, and provide a description of the relevant problem or potential threat.
You are also urged to recommend how to reproduce and replicate the issue.
The Apache Security Team and the ShardingSphere community will get back to you after assessing and analyzing the findings.
**Please note** that the security issue should be reported on the security email first, before disclosing it on any public domain.
ShardingSphere-JDBC does not directly provide external services, and users need to write code to use it. Due to the complexity and variety of user scenarios, ShardingSphere cannot control how users write code that uses ShardingSphere-JDBC. Therefore, the ShardingSphere community **does not accept any security issue reports that ShardingSphere-JDBC is exploited due to improper use**.
For example, the user introduced MySQL Connector/J with security vulnerabilities in the project, and trusted the externally input JDBC URL as the data source configuration of ShardingSphere-JDBC.
ShardingSphere-Proxy provides external services through database protocol and provides authentication method based on user password. Users need to ensure the security of user passwords by themselves. Therefore, the ShardingSphere community **does not accept any security issue report that presupposes that the attacker knows the ShardingSphere-Proxy user password**.
ShardingSphere cluster mode relies on middleware such as ZooKeeper, and trusts the middleware provided by users. For the security protection of middleware such as ZooKeeper, users need to protect themselves. Therefore, the ShardingSphere community **does not accept security issue reports that ShardingSphere is exploited due to middleware such as ZooKeeper being attacked**.
Third-party dependency security advice:
For dependencies that are not included by default in the ShardingSphere release version, users are required to ensure the security of dependencies.
For example, the release version of ShardingSphere does not include MySQL Connector/J by default, so ShardingSphere does not accept any security issue report that ShardingSphere is exploited due to the vulnerability of MySQL Connector/J itself.
The same is true for dependencies that are not included by default in other ShardingSphere releases.
Security recommendations for the ShardingSphere subproject:
Since ShardingSphere-UI is no longer maintained, the ShardingSphere community **will no longer accept any security issue reports related to ShardingSphere-UI**.
ElasticJob relies on ZooKeeper and trusts the ZooKeeper provided by the user. For the security protection of middleware such as ZooKeeper, users need to protect themselves. Therefore, the ShardingSphere community **does not accept the security issue report of ElasticJob being exploited due to ZooKeeper attack**.
ElasticJob-UI aims to provide users with a convenient job management and control platform. The platform provides services to developers and operation and maintenance personnel, not directly to Internet users. It is recommended that users deploy only on the intranet and avoid leakage of user passwords. The ShardingSphere community **does not accept any security issue reports that presuppose that the attacker knows the user's password**.
Before submitting a security issue report, please refer to the CVEs released by ShardingSphere and its sub-projects in the past to avoid repeated submissions.
ShardingSphere:
[CVE-2020-1947](https://www.cve.org/CVERecord?id=CVE-2020-1947)
ShardingSphere-UI:
[CVE-2021-26558](https://www.cve.org/CVERecord?id=CVE-2021-26558)
ElasticJob-UI
[CVE-2022-22733](https://www.cve.org/CVERecord?id=CVE-2022-22733)
[CVE-2022-31764](https://www.cve.org/CVERecord?id=CVE-2022-31764)
=====================================================
== File: docs/community/content/involved/subscribe.en.md
=====================================================
+++
title = "Subscribe Guide"
weight = 1
chapter = true
+++
When using or contributing to ShardingSphere, if you encounter any problem, or you have any suggestions or new ideas, you can use the Apache mailing-list to participate in the community building, or join the ShardingSphere [Slack channel](https://join.slack.com/t/apacheshardingsphere/shared_invite/zt-sbdde7ie-SjDqo9~I4rYcR18bq0SYTg) to connect with other community members.
To join the mailing list:
1. Send an e-mail to subscribe.
Use your mailbox to send an e-mail to [dev-subscribe@shardingsphere.apache.org](mailto:dev-subscribe@shardingsphere.apache.org) with any subject or content.
2. Receive and reply the confirmation e-mail.
After Step 1, you will receive a confirmation e-mail from [dev-help@shardingsphere.apache.org](mailto:dev-help@shardingsphere.apache.org) (if you have not received the email, please check “RSS feeds”, “junk e-mail” or other items). Reply to that e-mail directly or click the link in the e-mail to reply, with any subject or content.
3. Receive the welcome e-mail.
After finishing the two steps above, an e-mail with the subject of `WELCOME to dev@shardingsphere.apache.org` will be sent to your e-mail address. You'll have then succeeded in subscribing to the Apache ShardingSphere mailing-list.
4. You now can interact with community by your subscribed email or track email conversations by [Archived email list](https://lists.apache.org/list.html?dev@shardingsphere.apache.org) or [Slack](https://join.slack.com/t/apacheshardingsphere/shared_invite/zt-sbdde7ie-SjDqo9~I4rYcR18bq0SYTg).
=====================================================
== File: docs/community/content/involved/contribute/document.en.md
=====================================================
+++
title = "Documents Contribute Guide"
weight = 3
chapter = true
+++
If you want to help contribute shardingsphere documents or websites, we are happy to help you! Anyone can contribute, whether you're new to a project or have been using shardingsphere for a long time, whether you're a self identified developer, end-user, or someone who can't stand typos,can contribute to documents or websites.
In the contributor guide, we have mentioned how to submit Issues and pull request. here we will introduce how to submit pull request to document.
## Precondition
- Familiar with [Official website](https://shardingsphere.apache.org).
- Familiar with [Collaborating with issues and pull requests](https://help.github.com/categories/collaborating-with-issues-and-pull-requests/).
- Familiar with [Markdown](https://www.markdownguide.org/getting-started).
- Familiar with [Hugo](https://gohugo.io/).
## Fork document
Fork the master branch of [ShardingSphere](https://github.com/apache/shardingsphere).
## Directory structure description
```
shardingsphere
├─docs
├─community
│ ├─archetypes
│ ├─content
│ │ ├─contribute
│ │ ├─powered-by
│ │ ├─security
│ │ └─team
│ ├─layouts
│ ├─static
│ └─themes
├─document
│ ├─archetypes
│ ├─content
│ │ ├─concepts
│ │ │ ├─adaptor
│ │ │ ├─distsql
│ │ │ ├─mode
│ │ │ └─pluggable
│ │ ├─dev-manual
│ │ ├─downloads
│ │ ├─features
│ │ │ ├─encrypt
│ │ │ ├─governance
│ │ │ ├─readwrite-splitting
│ │ │ ├─scaling
=====================================================
== File: docs/community/content/involved/contribute/dev-env.en.md
=====================================================
+++
title = "How to Set Up Your DEV Environment"
weight = 2
chapter = true
+++
## Git Installation
Use the latest version.
You could download Git from [Git Downloads]( https://git-scm.com/downloads ).
If you're running macOS or Linux, you could install Git from software repository.
### Git Settings
If you're running Windows, following settings should be done before cloning ShardingSphere code.
Execute following command in PowerShell or cmd to prevent from `filename too long` error on cloning ShardingSphere code:
```shell
git config --global core.longpaths true
```
## JDK Installation
Use JDK 11 or higher.
You could download JDK from [OpenJDK Downloads]( https://adoptium.net/temurin/releases ).
You could search JDK installation guide for your platform on Google.
## Maven
Optional. You could use `mvn` command if Maven is ready, else use `mvnw` instead (download and install Maven automatically, use version defined in `.mvn/wrapper/maven-wrapper.properties`).
Use 3.6+.
You could download Maven from [Downloading Apache Maven]( https://maven.apache.org/download.html ).
Please refer to [Installing Apache Maven]( https://maven.apache.org/install.html ) for more details.
## Terminal
### macOS
You could use any of them:
- Terminal : Preinstalled on macOS
- iTerm2 : Could be installed by yourself
### Windows
=====================================================
== File: docs/community/content/involved/contribute/_index.cn.md
=====================================================
+++
title = "贡献指南"
weight = 2
chapter = true
+++
请阅读本章节了解如何贡献 Apache ShardingSphere。
=====================================================
== File: docs/community/content/involved/contribute/contributor.en.md
=====================================================
+++
title = "Contributor Guide"
weight = 1
chapter = true
+++
You can report a bug, submit a new function enhancement suggestion, or submit a pull request directly.
## Submit an Issue
- Before submitting an issue, please go through a comprehensive search to make sure the problem cannot be solved just by searching.
- Check the [Issue List](https://github.com/apache/shardingsphere/issues) to make sure the problem is not repeated.
- [Create](https://github.com/apache/shardingsphere/issues/new/choose) a new issue and choose the type of issue.
- Define the issue with a clear and descriptive title.
- Fill in necessary information according to the template.
- Choose a label after issue created, for example: bug, enhancement, discussion.
- Please pay attention for your issue, you may need provide more information during discussion.
## Developer Flow
**1. Prepare repository**
Go to [ShardingSphere GitHub Repo]( https://github.com/apache/shardingsphere ) and fork repository to your account.
Clone repository to local machine.
```shell
git clone https://github.com/(your_github_name)/shardingsphere.git
```
Add ShardingSphere remote repository.
```shell
cd shardingsphere
git remote add apache https://github.com/apache/shardingsphere.git
git remote -v
```
Build and install all modules, it'll install modules into Maven local repository cache, and also generate Java class files of parser from ANTLR grammar `.g4` files to prevent from compile error of parser on IDE.
```shell
cd shardingsphere
./mvnw clean install -DskipITs -DskipTests -Prelease
```
When you pull the latest code from ShardingSphere and create new branch later, you might get similar compile error of parser again, then you could run this command again.
**2. Choose Issue**
- Please choose the issue to be edited. If it is a new issue discovered or a new function enhancement to offer, please create an issue and set the right label for it.
=====================================================
== File: docs/community/content/involved/contribute/_index.en.md
=====================================================
+++
title = "Contribute Guide"
weight = 2
chapter = true
+++
Please read this chapter to know how to contribute to Apache ShardingSphere.
=====================================================
== File: docs/community/content/involved/release/shardingsphere-on-cloud.en.md
=====================================================
+++
title = "ShardingSphere on Cloud Release Guide"
weight = 2
chapter = true
+++
## Prepare before release
### 1. Check and update NOTICE
Check and update year in NOTICE.
### 2. Confirm release notes
The release note should be provided in English / Chinese, confirm whether English and Chinese description are clear,
and shall be classified according to the following labels:
1. New Feature
1. API Change
1. Enhancement
1. Bug Fix
### 3. Confirm issue list
Open [Github Issues](https://github.com/apache/shardingsphere-on-cloud/issues), filter the issue whose milestone is `${RELEASE.VERSION}` and status is open:
1. Close the completed issue;
1. For outstanding issues, communicate with the developer in charge. If this release is not affected, modify milestone to the next version;
1. Confirm that there is no issue in open status under milestone of release version.
### 4. Confirm pull request list
Open [Github Pull requests](https://github.com/apache/shardingsphere-on-cloud/pulls), filter pull requests whose milestone is `${RELEASE.VERSION}` and status is open:
1. Review the open pull request and merge;
1. For pull requests that cannot merge and do not affect this release, modify milestone to the next version;
1. Confirm that there is no open pull request under milestone of release version.
### 5. Call for a discussion
1. Send email to [dev@shardingsphere.apache.org](mailto:dev@shardingsphere.apache.org)
1. Follow the mailing list and confirm that the community developers have no questions about the release note.
### 6. Close milestone
Open [GitHub milestone](https://github.com/apache/shardingsphere-on-cloud/milestones)
1. Confirm that the milestone completion status of `${RELEASE.VERSION}` is 100%;
1. Click `close` to close milestone.
=====================================================
== File: docs/community/content/involved/release/elasticjob.en.md
=====================================================
+++
title = "ElasticJob Release Guide"
weight = 3
chapter = true
+++
## Preparation
### GPG Setup
Please refer to [Release Guide](/en/involved/release/shardingsphere/).
### Setting settings.xml
Add the following template to `~/.m2/settings.xml`, all the passwords need to be filled in after encryption.
For encryption settings, please see [here](http://maven.apache.org/guides/mini/guide-encryption.html).
```xml
<settings>
<servers>
<server>
<id>apache.snapshots.https</id>
<username> <!-- APACHE LDAP username --> </username>
<password> <!-- APACHE LDAP encrypted password --> </password>
</server>
<server>
<id>apache.releases.https</id>
<username> <!-- APACHE LDAP username --> </username>
<password> <!-- APACHE LDAP encrypted password --> </password>
</server>
</servers>
</settings>
```
## Publishing Apache Snapshot
### Deploying to Apache Snapshot Repository
**1. Ensure that building project can be succeeded**
```bash
./mvnw clean install
```
**2. Deploying to Snapshot Repository**
```bash
./mvnw deploy -DrepositoryId=apache.snapshots.https -T1C
```
=====================================================
== File: docs/community/content/involved/release/elasticjob-ui.cn.md
=====================================================
+++
title = "ElasticJob UI 发布指南"
weight = 4
chapter = true
+++
## GPG 设置
详情请参见[发布指南](/cn/involved/release/shardingsphere/)。
## 发布 Apache Maven 中央仓库
**1. 设置 settings.xml 文件**
将以下模板添加到 `~/.m2/settings.xml` 中，所有密码需要加密后再填入。
加密设置可参考[这里](http://maven.apache.org/guides/mini/guide-encryption.html)。
```xml
<settings>
<servers>
<server>
<id>apache.snapshots.https</id>
<username> <!-- APACHE LDAP 用户名 --> </username>
<password> <!-- APACHE LDAP 加密后的密码 --> </password>
</server>
<server>
<id>apache.releases.https</id>
<username> <!-- APACHE LDAP 用户名 --> </username>
<password> <!-- APACHE LDAP 加密后的密码 --> </password>
</server>
</servers>
</settings>
```
**2. 更新版本说明**
```
https://github.com/apache/shardingsphere-elasticjob-ui/blob/master/RELEASE-NOTES.md
```
**3. 创建发布分支**
假设从 Github 下载的 ElasticJob-UI 源代码在 `~/elasticjob-ui/` 目录；假设即将发布的版本为 `${RELEASE.VERSION}`。
创建 `${RELEASE.VERSION}-release` 分支，接下来的操作都在该分支进行。
```shell
## ${name} 为源码所在分支，如：master，dev-4.x
git clone --branch ${name} https://github.com/apache/shardingsphere-elasticjob-ui.git ~/elasticjob-ui
cd ~/elasticjob-ui/
git pull
=====================================================
== File: docs/community/content/involved/release/_index.cn.md
=====================================================
+++
title = "发布指南"
weight = 5
chapter = true
+++
请阅读本章节了解 Apache ShardingSphere 的新版本发布流程指南。
=====================================================
== File: docs/community/content/involved/release/shardingsphere.en.md
=====================================================
+++
title = "ShardingSphere Release Guide"
weight = 1
chapter = true
+++
## Prepare Before Release
The preparation work is carried out **7 days before cutting release**, so that contributors can control the development progress according to the release plan.
### 1. Check and Update LICENSE and NOTICE
Check and update dependency version in LICENSE.
Check and update year in NOTICE.
### 2. Confirm Release Notes
The release note should be provided in English / Chinese, confirm whether English and Chinese description are clear,
and shall be classified according to the following labels:
1. New Feature
1. API Change
1. Enhancement
1. Bug Fix
### 3. Create Milestone for Next Development
1. Create a [Github Milestone](https://github.com/apache/shardingsphere/milestones);
1. Set milestone title to next development version;
1. **Set the `due date` as the next version release cutting date** 。
### 4. Confirm Issue List
Open [GitHub issues](https://github.com/apache/shardingsphere/issues), filter the issue whose milestone is `${RELEASE.VERSION}` and status is open:
1. Close the completed issue;
1. For outstanding issues, communicate with the developer in charge. If this release is not affected, modify milestone to the next version;
1. Confirm that there is no issue in open status under milestone of release version.
### 5. Confirm Pull Request List
Open [GitHub pull requests](https://github.com/apache/shardingsphere/pulls), filter pull requests whose milestone is `${RELEASE.VERSION}` and status is open:
1. Review the open pull request and merge;
1. For pull requests that cannot merge and do not affect this release, modify milestone to the next version;
1. Confirm that there is no open pull request under milestone of release version.
### 6. Call for a Discussion
=====================================================
== File: docs/community/content/involved/release/_index.en.md
=====================================================
+++
title = "Release Guide"
weight = 5
chapter = true
+++
Please read this chapter to know how to release new version of Apache ShardingSphere.
=====================================================
== File: docs/community/content/involved/release/elasticjob-ui.en.md
=====================================================
+++
title = "ElasticJob UI Release Guide"
weight = 4
chapter = true
+++
## GPG Settings
Please refer to [Release Guide](/en/involved/release/shardingsphere/).
## Apache Maven Central Repository Release
**1. Set settings.xml**
Add the following template to `~/.m2/settings.xml`, all the passwords need to be filled in after encryption.
For encryption settings, please see [here](http://maven.apache.org/guides/mini/guide-encryption.html).
```xml
<settings>
<servers>
<server>
<id>apache.snapshots.https</id>
<username> <!-- APACHE LDAP username --> </username>
<password> <!-- APACHE LDAP encrypted password --> </password>
</server>
<server>
<id>apache.releases.https</id>
<username> <!-- APACHE LDAP username --> </username>
<password> <!-- APACHE LDAP encrypted password --> </password>
</server>
</servers>
</settings>
```
**2. Update Release Notes**
```
https://github.com/apache/shardingsphere-elasticjob-ui/blob/master/RELEASE-NOTES.md
```
**3. Create Release Branch**
Suppose ElasticJob-UI source codes downloaded from github is under `~/elasticjob-ui/` directory and the version to be released is `${RELEASE.VERSION}`.
Create `${RELEASE.VERSION}-release` branch, where all the following operations are performed.
```shell
## ${name} is the properly branch, e.g. master, dev-4.x
git clone --branch ${name} https://github.com/apache/shardingsphere-elasticjob-ui.git ~/elasticjob-ui
cd ~/elasticjob-ui/
git pull
=====================================================
== File: docs/community/content/involved/release/shardingsphere-on-cloud.cn.md
=====================================================
+++
title = "ShardingSphere on Cloud 发布指南"
weight = 2
chapter = true
+++
## 准备工作
### 1. 检查并更新 NOTICE
检查并更新 NOTICE 文件中的年份。
### 2. 确认 Release Note
Release Note 需提供中文/英文两种版本，确认中英文描述是否明确，并按以下标签进行分类：
1. 新功能
1. API 变更
1. 功能增强
1. 漏洞修复
### 3. 确认 Issue 列表
打开 [Github Issues](https://github.com/apache/shardingsphere-on-cloud/issues)，过滤 Milestone 为 `${RELEASE.VERSION}` 且状态为打开的 Issue:
1. 关闭已完成的 Issue；
1. 未完成的 Issue 与负责人进行沟通，如果不影响本次发版，修改 Milestone 为下一个版本；
1. 确认发布版本的 Milestone 下没有打开状态的 Issue。
### 4. 确认 Pull Request 列表
打开 [Github Pull requests](https://github.com/apache/shardingsphere-on-cloud/pulls)，过滤 Milestone 为 `${RELEASE.VERSION}` 且状态为打开的 Pull Request:
1. 对打开的 Pull Request 进行 Review 并且 Merge；
1. 无法 Merge 且不影响本次发版的 Pull Request，修改 Milestone 为下一个版本；
1. 确认发布版本的 Milestone 下没有打开状态的 Pull Request。
### 5. 发送讨论邮件
1. 发送邮件至 [dev@shardingsphere.apache.org](mailto:dev@shardingsphere.apache.org)，在邮件正文中链接 GitHub Discussion；
1. 关注邮件列表，确认社区开发者对 Release Note 没有任何疑问。
### 6. 关闭 Milestone
打开 [Github Milestone](https://github.com/apache/shardingsphere-on-cloud/milestones)
1. 确认 `${RELEASE.VERSION}` 的 Milestone 完成状态为 100%；
1. 点击 `Close` 关闭 Milestone。
## GPG 设置
=====================================================
== File: docs/community/content/involved/conduct/code.en.md
=====================================================
+++
title = "Code of Conduct"
weight = 2
chapter = true
+++
The following code of conduct is based on full compliance with [ASF CODE OF CONDUCT](https://www.apache.org/foundation/policies/conduct.html).
## Development Guidelines
- Write codes with heart. Pursue clean, simplified and extremely elegant codes. Agree with concepts in <Refactoring: Improving the Design of Existing Code> and <Clean Code: A Handbook of Agile Software Craftsmanship>.
- Be familiar with codes already had, to keep consistent with the style and use.
- Highly reusable, no duplicated codes or configurations.
- Delete codes out of use in time.
## Contributor Covenant Submitting of Conduct
- Conform to `Contributor Covenant Code of Conduct` below.
- Make sure Maven build process success. Run `./mvnw clean install -B -T1C -Pcheck` command in shell to start Maven build process.
- Through the uniform code style of spotless, execute the `./mvnw spotless:apply -Pcheck` formatted code.
- Make sure the test coverage rate is not lower than the master branch.
- Careful consideration for each `pull request`; Small and frequent `pull request` with complete unit function is welcomed.
- If using IDEA, you can import the recommended `src/resources/code-style-idea.xml`.
## Contributor Covenant Code of Conduct
- Use linux line separators.
- No meaningless blank lines. Please extract private methods to instead of blank lines if too long method body or different logic code fragments.
- Naming covenant:
- Use meaningful names.
- Avoid to use abbreviation. Some variables could use abbreviation.
- Variable `arguments` could abbreviate to `args`;
- Variable `parameters` could abbreviate to `params`;
- Variable `environment` could abbreviate to `env`;
- Variable `properties` could abbreviate to `props`;
- Variable `configuration` could abbreviate to `config`.
- Abbreviation composed less than 3 characters should be uppercase, more than 3 characters must use camel case naming rule.
- Example for abbreviation composed less than 3 characters: SQL92Lexer, XMLTransfer, MySQLAdminExecutorCreator;
- Example for abbreviation composed more than 3 characters: JdbcUrlAppender, YamlAgentConfigurationSwapper;
- A variable composed of abbreviation should use lower camel case: mysqlAuthenticationMethod, sqlStatement, mysqlConfig.
- Local variables that meet the following conditions shall be named according to the following rules:
- Except return an input parameter as result, returning variable should be named with `result`;
- Variables in the loop structure are named with `each`;
- Replace `each` with `entry` in map;
- Exceptions when catch are named with `ex`;
- Exceptions when catch but do nothing are named with `ignored`.
- It is prohibited to use `result`, `each`, or `entry` as method parameter names.
- Utility class should be named in the form of `xxUtils`.
- Name property files with `Spinal Case`(a variant of `Snake Case` which uses hyphens `-` to separate words).
- Split codes that need to add notes with it into small methods, which are explained with method names.
=====================================================
== File: docs/community/content/involved/conduct/document.en.md
=====================================================
+++
title = "Document of Conduct"
weight = 3
chapter = true
+++
- The title of topic should in `title = "xxx"` only, content should not include main title(#);
- Please leave a blank line at the end of topic;
- To avoid segment too long, please start a new line after full stop;
- Please keep a blank line between title and content;
- For reading friendly, please arrange for each column in table beside last one;
- Please keep space between `|` and `-` in head of table;
- Please use `1.` for number item, it can be generated correct number by Hugo automatically;
- Item list is preceded by `;` at the end, the last item is marked with `.` ending;
- Please end of `;` by item list, and end of `.` for the last item list;
- Picture files used underline symbol and language abbreviation at the end to distinguish the picture languages, for example: `_en`.
=====================================================
== File: docs/community/content/involved/conduct/_index.cn.md
=====================================================
+++
title = "贡献规约"
weight = 3
chapter = true
+++
请阅读本章节了解参与 Apache ShardingSphere 贡献的规约。
=====================================================
== File: docs/community/content/involved/conduct/code.cn.md
=====================================================
+++
title = "开发规范"
weight = 2
chapter = true
+++
以下行为准则以完全遵循 [Apache 软件基金会行为准则](https://www.apache.org/foundation/policies/conduct.html)为前提。
## 开发理念
- **用心** 保持责任心和敬畏心，以工匠精神持续雕琢。
- **可读** 代码无歧义，通过阅读而非调试手段浮现代码意图。
- **整洁** 认同《重构》和《代码整洁之道》的理念，追求整洁优雅代码。
- **一致** 代码风格、命名以及使用方式保持完全一致。
- **精简** 极简代码，以最少的代码表达最正确的意思。高度复用，无重复代码和配置。及时删除无用代码。
- **抽象** 层次划分清晰，概念提炼合理。保持方法、类、包以及模块处于同一抽象层级。
- **极致** 拒绝随意，保证任何一行代码、任何一个字母、任何一个空格都有其存在价值。
## 代码提交行为规范
- 确保遵守编码规范。
- 确保构建流程中的各个步骤都成功完成，包括：Apache 协议文件头检查、Checkstyle 检查、编译、单元测试等。构建流程启动命令：`./mvnw clean install -B -T1C -Pcheck`。
- 通过 Spotless 统一代码风格，执行 `./mvnw spotless:apply -Pcheck` 格式化代码。
- 确保覆盖率不低于 master 分支。
- 应尽量将设计精细化拆分；做到小幅度修改，多次数提交，但应保证提交的完整性。
- 如果您使用 IDEA，可导入推荐的 `src/resources/code-style-idea.xml`。
## 编码规范
- 使用 linux 换行符。
- 不应有无意义的空行。请提炼私有方法，代替方法体过长或代码段逻辑闭环而采用的空行间隔。
- 命名规范：
- 命名要做到顾名思义。
- 类、方法名避免使用缩写，部分变量名可以使用缩写。
- 变量名 `arguments` 缩写为 `args`；
- 变量名 `parameters` 缩写为 `params`；
- 变量名 `environment` 缩写为 `env`；
- 变量名 `properties` 缩写为 `props`；
- 变量名 `configuration` 缩写为 `config`。
- 三位以内字符的专有名词缩写使用大写，超过三位字符的缩写采用驼峰形式。
- 三位以内字符的类和方法名称缩写的示例：SQL92Lexer、XMLTransfer、MySQLAdminExecutorCreator；
- 三位以上字符的类和方法名称缩写的示例：JdbcUrlAppender、YamlAgentConfigurationSwapper；
- 变量应使用小驼峰形式：mysqlAuthenticationMethod、sqlStatement、mysqlConfig。
- 符合下列条件的局部变量，应参照下列规则命名：
- 除了直接返回方法入参，返回变量使用 `result` 命名；
- 循环中使用 `each` 命名循环变量；
- map 中使用 `entry` 代替 `each`；
- 捕获的异常名称命名为 `ex` ；
- 捕获异常且不做任何事情，异常名称命名为 `ignored`。
- 方法入参名禁止使用 `result`、`each`、`entry`。
=====================================================
== File: docs/community/content/involved/conduct/_index.en.md
=====================================================
+++
title = "Contribution Conduct"
weight = 3
chapter = true
+++
Please read this chapter to know the contribution conduct of Apache ShardingSphere.
=====================================================
== File: docs/community/content/involved/conduct/issue.en.md
=====================================================
+++
title = "Issue of Conduct"
weight = 1
chapter = true
+++
## Issue Submit Conduct
- Issue lists should be readable and retrievable, the author is obligated to summarize the title that is meaningful and convenient for retrieval, and to ensure the correctness and completeness of the content;
- Please confirm that there is no relevant existing Issue after sufficient search, and then submit a new Issue;
- The type of issue is divided into bug, new feature and problem. When you edit an issue, please select the correct template and fill in content according to the template;
- For problems caused by uncertain configuration, please submit the relevant reproducible code to GitHub, so that community contributors can locate and identify the problem more efficiently;
- Please reply to the Issue after it has been resolved to form a closed loop that will provide effective information for others who browse the Issue;
- Please pay attention to the submitted issues in time. Issues with no feedback for a long time will be closed regularly.
- Please use English for community diversity.
## Issue Process Conduct
- For issues without clear title, the handler guides the submitter to revise and refine the title before dealing with it;
- For the issue with missing template information, the handler guides the submitter to provide the required information before processing;
- Issues related to code, such as bug fix and feature enhancement, will be marked with correct label and project version of the issue completed;
- The handler will regularly close the issue without feedback for a long time;
- Issues without reference or retrieval value will be marked as status:invalid and does not need attention.
=====================================================
== File: docs/community/content/involved/_index.en.md
=====================================================
+++
pre = "<b>1. </b>"
title = "Get Involved"
weight = 1
chapter = true
+++
First off, thank you for your interest in Apache ShardingSphere.
We are a very open and active community, where dedicated contributors of all levels are welcome to join in the pursuit of the `Apache Way`.
You may participate in the community through the [Mailing-list Subscription](/en/involved/subscribe/), or simply by interacting with other members in the [ShardingSphere Slack channel](https://join.slack.com/t/apacheshardingsphere/shared_invite/zt-sbdde7ie-SjDqo9~I4rYcR18bq0SYTg)
Please read the [Contribute Guide](/en/involved/contribute/) if you interested to contribute Apache ShardingSphere.
Please read the [Contribute Conduct](/en/involved/conduct/) before becoming a contributor.
If you want to become a committer, please read the [Committers' Guide](/en/involved/committer/).
If you want to be a release manager, please read the [Release Guide](/en/involved/release/).
Thank you for attend Apache ShardingSphere.
=====================================================
== File: docs/community/content/involved/committer/icla.en.md
=====================================================
+++
title = "Sign ICLA Guide"
weight = 3
chapter = true
+++
### Sign Apache ICLA guide
Apache CLA short for Apache Contributor License Agreement, the purpose of this agreement is to clearly define the terms under which intellectual property has been contributed to the ASF and thereby allow us to defend the project should there be a legal dispute regarding the software at some future time.
A signed ICLA is required to be on file before an individual is given commit rights to any ASF project.
The process of submitting ICLA are:
**1. First, click the link [Apache Licenses](https://www.apache.org/licenses/#clas) and find CLAs under the Contributor License Agreements section.**
**2. At the top of the page, there are two download links choose ICLA(Individual Contributor License Agreement) and download it.**
**3. Open the PDF, and fill in the following columns in English.**
> To be noticed:
> - Leave a space between family name and last name, remember capitalize the first letter, please write family name at first.
> - Preferred Apache id(s) is a required field for committers.
**4. The signature at the bottom of the document:**
Apache only accept hand-written signature or gpg signature, here we suggest choosing hand-written way.
Print the document and sign your name on the paper, or use electric pen.
## Submission
* If you are a new committer, please scan all pages into a single pdf file, and attach the pdf file to an email to secretary@apache.org.
* The rest of the case, please send the file to the person who contact you.
=====================================================
== File: docs/community/content/involved/committer/_index.cn.md
=====================================================
+++
title = "提交者指南"
weight = 4
chapter = true
+++
请阅读本章节了解 Apache ShardingSphere 官方提交者的工作指南。
=====================================================
== File: docs/community/content/involved/committer/vote.en.md
=====================================================
+++
title = "New committer voting process"
weight = 2
chapter = true
+++
The Apache ShardingSphere community follows the [Apache Community’s process](http://community.apache.org/newcommitter.html) on accepting a new committer.
After a contributor participates community actively, PMC and Committers will make a decision to invite the contributor to join Committers and PMC.
**1. Start the discussion and vote in @private. Only current PMC member could nominate.**
Example:
```
To：private@shardingsphere.apache.org
Title: [VOTE] New committer:(nominee)
Content:
Hi, everyone
This is ^a formal vote^ about inviting (nominee)as our new committer.
He/She really made an effort to improve ShardingSphere Parser and fix many issues.
The following links will direct you to his/her work.
https://github.com/apache/shardingsphere/pull/xxxx
https://github.com/apache/shardingsphere/pull/xxxx
https://github.com/apache/shardingsphere/pull/xxxx
https://github.com/apache/shardingsphere/pull/xxxx
[^ means these words are subject to change in different case]
```
**2. Wait 3*24 hours to get vote result from community committers.**
**3. PMC sends vote result over email.**
Example:
```
To: private@shardingsphere.apache.org
Title: [RESULT] [VOTE] New committer: (nominee)
Content:
Hi all PMCs,
I am glad to receive your votes, and the voting result is,
=====================================================
== File: docs/community/content/involved/committer/commiter_rights.en.md
=====================================================
+++
title = "Committer Rights"
weight = 5
chapter = true
+++
## Committer Rights
Every Apache Committer is eligible for a free license that grants them access to all the JetBrains IDEs such as IntelliJ IDEA, PyCharm, and other desktop tools.
### Get free JetBrains license
If you are an Apache ShardingSphere Committer and still haven’t received a free JetBrains license, please use your @apache.org email address to **[get a free All Products Pack now](https://www.jetbrains.com/shop/eform/apache?product=ALL)** for the subsequent development of ShardingSphere.
### Reactivate expired JetBrains license
If you have obtained a free JetBrains subscription but it has expired, you can reactivate all product packs for free using your @apache.org email address **[by this link](https://www.jetbrains.com/shop/eform/apache?product=ALL)** and click 'Refresh license list' in your JetBrains desktop tools (e.g. IntelliJ IDEA) to refresh the subscription.
=====================================================
== File: docs/community/content/involved/committer/responsibilities.en.md
=====================================================
+++
title = "Responsibilities & Routine"
weight = 1
chapter = true
+++
## Responsibilities
- Develop new features;
- Refactor codes;
- Review pull requests reliably and in time;
- Consider and accept feature requests;
- Answer questions;
- Update documentation and example;
- Improve processes and tools;
- Check whether [CI Scheduled Workflow]( https://github.com/apache/shardingsphere/actions?query=event%3Aschedule ) works or not periodically;
- Guide new contributors join community.
## Routine
1. Check the list of pull requests and issues to be processed in the community on a daily basis.
- Including label issue, reply issue, close issue;
- Assign issue to the appropriate committer, namely assignee;
2. After a committer is assigned with an issue, the following work is required:
- Estimate whether it is a long-term issue. If it is, please label it as pending;
- Add issue labels, such as bug, enhancement, discussion, etc;
- Add milestone.
3. Pull request that committer submits needs to add labels and milestone based on the type and release period.
4. When committer reviewed and approved any pull request, committer could squash and merge to master. If there is any question you concerned about this pull request, please reply directly to the related issue.
=====================================================
== File: docs/community/content/involved/committer/_index.en.md
=====================================================
+++
title = "Committer Guide"
weight = 4
chapter = true
+++
Please read this chapter to know the work progress to official committer of Apache ShardingSphere.
=====================================================
== File: docs/community/content/involved/committer/2FA.en.md
=====================================================
+++
title = "2FA"
weight = 4
chapter = true
+++
## Two-factor authentication(2FA)
Two factor authentication (2FA) refers to the authentication method that combines both passport, and an object (credit card, SMS phone, token or biomarkers as fingerprint) to identify a user.
To ensure the security of the committer’s account, we need you to enable 2FA to sign in and contribute codes on GitHub.
More details, please refer to [2FA](https://help.github.com/articles/requiring-two-factor-authentication-in-your-organization/).
> To be noticed: If you do not enable 2FA, you will be removed from the project and unable to access our repositories and the fork from our private repository.
## Enable 2FA on GitHub
For detailed operations, please refer to [Enable Two Factor Authentication with TOTP](https://help.github.com/articles/configuring-two-factor-authentication-via-a-totp-mobile-app/).
After enabling 2FA, you need to sign in GitHub with the way of username/password + mobile phone authentication code.
> Tips: If you cannot download the APP through the page link, you can search and download Google Authenticator in APP Store.
## How to Submit Codes
After enabling 2FA, you need to generate a private access Token to perform operations such as git submit and so on.
At this time, you will use username + private access Token in replace of username + password to submit codes.
For detailed operations, please refer to [Create a Private Token](https://help.github.com/articles/creating-a-personal-access-token-for-the-command-line/).
=====================================================
== File: docs/community/content/involved/committer/commiter_rights.cn.md
=====================================================
+++
title = "提交者权益"
weight = 5
chapter = true
+++
## 提交者权益
每个 Apache Committer 都有资格获得免费 JetBrains 订阅，使他们能够访问 JetBrains 产品包，如 IntelliJ IDEA、PyCharm 和其他桌面工具。
### 获取免费 JetBrains 订阅
如果您是 Apache ShardingSphere 提交者，但未收到免费的 JetBrains 订阅，请使用您的 @apache.org 电子邮件地址**[立即获取免费的所有产品包](https://www.jetbrains.com/shop/eform/apache?product=ALL)**以便于 ShardingSphere 的后续开发。
### 重新激活 JetBrains 到期订阅
如果您已经使用了免费的 JetBrains 订阅，遇到 License 到期，可以使用您的 @apache.org 电子邮件地址**[续订免费的所有产品包](https://www.jetbrains.com/shop/eform/apache?product=ALL)**，并在您的 JetBrains 桌面工具（例如 IntelliJ IDEA） 中点击 `Refresh license list` 刷新订阅。
=====================================================
== File: docs/community/content/powered-by/_index.en.md
=====================================================
+++
pre = "<b>2. </b>"
title = "Powered By ShardingSphere"
weight = 2
chapter = true
+++
## Register
You're welcome to register by company + homepage + use case scenario (optional), your support is very important to us.
Please register [here](https://github.com/apache/shardingsphere/discussions/12255) with 'company' + 'homepage' + 'use case scenario' (optional).
## Who is Using ShardingSphere?
Total: 219 companies.
### Infra Software
<ul>
<li><a href="http://www.sphere-ex.com/" rel="nofollow">SphereEx</a></li>
<li><a href="https://www.opengauss.org/en/" rel="nofollow">Huawei openGauss</a>: <a href="https://dev.to/apache_shardingsphere/apache-shardingsphere-opengauss-breaking-the-distributed-database-performance-record-with-10-million-tpmc-28an" rel="nofollow">User Case</a></li>
<li><a href="https://www.mogdb.io/" rel="nofollow">ENMOTECH MogDB</a></li>
<li><a href="https://www.kingbase.com.cn/" rel="nofollow">KingBase KingbaseES</a></li>
</ul>
### Bank
<ul>
<li><a href="https://www.abchina.com/en/" rel="nofollow">AGRICULTURAL BANK OF CHINA</a></li>
<li><a href="https://www.ccbft.com/" rel="nofollow">CCB Fintech</a></li>
<li><a href="http://en.cmbc.com.cn/" rel="nofollow">CHINA MINSHENG BANK</a></li>
<li><a href="https://bank.pingan.com/" rel="nofollow">Ping An Bank</a></li>
<li><a href="https://www.psbc.com/en/" rel="nofollow">Postal Savings Bank of China</a></li>
<li><a href="https://english.cmbchina.com/" rel="nofollow">China Merchants Bank</a></li>
</ul>
### Payment
<ul>
<li><a href="https://www.bestpay.com.cn/" rel="nofollow">China Telecom Best Pay(Orange Finance)</a></li>
<li><a href="https://www.kjtpay.com/" rel="nofollow">KJT pay</a></li>
<li><a href="https://www.baofu.com/" rel="nofollow">BAO FU</a></li>
</ul>
### Telecommunications
<ul>
<li>CU Digital Technology</li>
<li><a href="https://jf.10086.cn/" rel="nofollow">China Mobile Financial Technology</a></li>
</ul>
### FinTech
<ul>
=====================================================
== File: docs/community/content/team/_index.cn.md
=====================================================
+++
pre = "<b>3. </b>"
title = "团队"
weight = 3
chapter = true
+++
## 成员
### 项目管理委员会
<table style="table-layout:fixed">
<tr>
<td>
<a href="https://github.com/terrymanu" target="_blank">
<img src="https://avatars.githubusercontent.com/u/5516298?v=4" style="border-radius:50%; overflow:hidden">
</a>
</td>
<td>
<a href="https://github.com/tristaZero" target="_blank">
<img src="https://avatars.githubusercontent.com/u/27757146?v=4" style="border-radius:50%; overflow:hidden">
</a>
</td>
<td>
<a href="https://github.com/craiglrussell" target="_blank">
<img src="https://avatars.githubusercontent.com/u/2467238?v=4" style="border-radius:50%; overflow:hidden">
</a>
</td>
<td>
<a href="https://github.com/wu-sheng" target="_blank">
<img src="https://avatars.githubusercontent.com/u/5441976?v=4" style="border-radius:50%; overflow:hidden">
</a>
</td>
<td>
<a href="https://github.com/WillemJiang" target="_blank">
<img src="https://avatars.githubusercontent.com/u/219644?v=4" style="border-radius:50%; overflow:hidden">
</a>
</td>
<td>
<a href="https://github.com/menghaoranss" target="_blank">
<img src="https://avatars.githubusercontent.com/u/60651792?v=4" style="border-radius:50%; overflow:hidden">
</a>
</td>
<td>
<a href="https://github.com/kimmking" target="_blank">
<img src="https://avatars.githubusercontent.com/u/807508?v=4" style="border-radius:50%; overflow:hidden">
</a>
</td>
</tr>
<tr align="center">
=====================================================
== File: docs/community/content/team/_index.en.md
=====================================================
+++
pre = "<b>3. </b>"
title = "Team"
weight = 3
chapter = true
+++
## Members
### Project Management Committee
<table style="table-layout:fixed">
<tr>
<td>
<a href="https://github.com/terrymanu" target="_blank">
<img src="https://avatars.githubusercontent.com/u/5516298?v=4" style="border-radius:50%; overflow:hidden">
</a>
</td>
<td>
<a href="https://github.com/tristaZero" target="_blank">
<img src="https://avatars.githubusercontent.com/u/27757146?v=4" style="border-radius:50%; overflow:hidden">
</a>
</td>
<td>
<a href="https://github.com/craiglrussell" target="_blank">
<img src="https://avatars.githubusercontent.com/u/2467238?v=4" style="border-radius:50%; overflow:hidden">
</a>
</td>
<td>
<a href="https://github.com/wu-sheng" target="_blank">
<img src="https://avatars.githubusercontent.com/u/5441976?v=4" style="border-radius:50%; overflow:hidden">
</a>
</td>
<td>
<a href="https://github.com/WillemJiang" target="_blank">
<img src="https://avatars.githubusercontent.com/u/219644?v=4" style="border-radius:50%; overflow:hidden">
</a>
</td>
<td>
<a href="https://github.com/menghaoranss" target="_blank">
<img src="https://avatars.githubusercontent.com/u/60651792?v=4" style="border-radius:50%; overflow:hidden">
</a>
</td>
<td>
<a href="https://github.com/kimmking" target="_blank">
<img src="https://avatars.githubusercontent.com/u/807508?v=4" style="border-radius:50%; overflow:hidden">
</a>
</td>
</tr>
<tr align="center">
=====================================================
== File: docs/community/archetypes/default.cn.md
=====================================================
---
title: "{{ replace .Name "-" " " | title }}"
date: {{ .Date }}
draft: true
---
=====================================================
== File: docs/community/config.toml
=====================================================
baseURL = "https://shardingsphere.apache.org/community/"
canonifyurls = true
languageCode = "en-us"
title = "ShardingSphere"
theme = "hugo-theme-learn"
defaultContentLanguage = "en"
defaultContentLanguageInSubdir= true
[Languages]
[Languages.en]
title = "ShardingSphere"
weight = 1
languageName = "English"
[Languages.cn]
title = "ShardingSphere"
weight = 2
languageName = "简体中文"
[params]
# Change default color scheme with a variant one. Can be "red", "blue", "green".
themeVariant = "white"
# Disable search function. It will hide search bar
disableSearch = false
editURL = "https://github.com/apache/shardingsphere/tree/master/docs/community/content/"
[markup]
[markup.goldmark]
[markup.goldmark.renderer]
unsafe = true
=====================================================
== File: docs/document/static/img/theme.svg
=====================================================
<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1649761066916" class="icon" viewBox="0 0 1243 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="1910" xmlns:xlink="http://www.w3.org/1999/xlink" width="19.421875" height="16"><defs><style type="text/css">@font-face { font-family: feedback-iconfont; src: url("//at.alicdn.com/t/font_1031158_u69w8yhxdu.woff2?t=1630033759944") format("woff2"), url("//at.alicdn.com/t/font_1031158_u69w8yhxdu.woff?t=1630033759944") format("woff"), url("//at.alicdn.com/t/font_1031158_u69w8yhxdu.ttf?t=1630033759944") format("truetype"); }
</style></defs><path d="M755.093336 61.436797a511.973304 511.973304 0 1 0 207.495466 693.650688l-99.615377-53.757197a398.827204 398.827204 0 1 1-161.637286-540.351253l53.757197-99.615378z" fill="#F6651C" p-id="1911"></path><path d="M1204.971593 188.84501L534.652259 736.217612l-285.242269-364.086159 86.304071-67.653615 216.199012 275.953611 583.649567-476.574007 69.335813 84.987568z" fill="#F6651C" p-id="1912"></path></svg>
=====================================================
== File: docs/document/static/css/theme-mine.css
=====================================================
/* background behind the logo*/
#header {
background: black;
border-color: black;
}
#header-wrapper {
background: black;
border-color: black;
}
#chapter p {
text-align: left;
}
.copy-to-clipboard {
background-image: none;
display: none;
}
#body img, #body .video-container {
margin: auto;
text-align: left;
display: inherit;
}
=====================================================
== File: docs/document/static/css/theme-white.css
=====================================================
body{
font-family: 'roboto,sans-serif';
letter-spacing: .33px;
font-weight: 400;
text-rendering: optimizeLegibility;
-webkit-font-smoothing: antialiased;
}
.wrap{
max-width: 1440px;
margin: 0 auto;
display: flex;
}
header{
background-color: #F7F7FB;
height: 80px;
}
header .wrap{
justify-content: space-between;
align-items: center;
height: 80px;
padding: 0 20px 0 20px;
}
header li a{
color:#393C4E;
}
header .select-style{
width: 80px;
}
header .select-style svg{
fill:#000;
}
header img{
height: 38px;
}
header li{list-style: none;}
header .select-style select{
color:#000;
}
#body img,
#body .video-container {
margin: auto;
text-align: left;
display: inherit;
=====================================================
== File: docs/document/static/css/style.css
=====================================================
/* background behind the logo*/
#header {
background: black;
border-color: black;
}
#header-wrapper {
background: black;
border-color: black;
}
#chapter p {
text-align: left;
}
.copy-to-clipboard {
background-image: none;
display: none;
}
#body img, #body .video-container {
margin: auto;
text-align: left;
display: inherit;
}
=====================================================
== File: docs/document/static/css/theme-black.css
=====================================================
@charset "UTF-8";
#top-github-link,
#body #breadcrumbs {
position: relative;
top: 50%;
-webkit-transform: translateY(-50%);
-moz-transform: translateY(-50%);
-o-transform: translateY(-50%);
-ms-transform: translateY(-50%);
transform: translateY(-50%);
}
.button,
.button-secondary {
display: inline-block;
padding: 7px 12px;
}
.button:active,
.button-secondary:active {
margin: 2px 0 -2px 0;
}
@font-face {
font-family: 'Novacento Sans Wide';
src: url("../fonts/Novecentosanswide-UltraLight-webfont.eot");
src: url("../fonts/Novecentosanswide-UltraLight-webfont.eot?#iefix") format("embedded-opentype"), url("../fonts/Novecentosanswide-UltraLight-webfont.woff2") format("woff2"), url("../fonts/Novecentosanswide-UltraLight-webfont.woff") format("woff"), url("../fonts/Novecentosanswide-UltraLight-webfont.ttf") format("truetype"), url("../fonts/Novecentosanswide-UltraLight-webfont.svg#novecento_sans_wideultralight") format("svg");
font-style: normal;
font-weight: 200;
}
@font-face {
font-family: 'Work Sans';
font-style: normal;
font-weight: 300;
src: url("../fonts/Work_Sans_300.eot?#iefix") format("embedded-opentype"), url("../fonts/Work_Sans_300.woff") format("woff"), url("../fonts/Work_Sans_300.woff2") format("woff2"), url("../fonts/Work_Sans_300.svg#WorkSans") format("svg"), url("../fonts/Work_Sans_300.ttf") format("truetype");
}
@font-face {
font-family: 'Work Sans';
font-style: normal;
font-weight: 500;
src: url("../fonts/Work_Sans_500.eot?#iefix") format("embedded-opentype"), url("../fonts/Work_Sans_500.woff") format("woff"), url("../fonts/Work_Sans_500.woff2") format("woff2"), url("../fonts/Work_Sans_500.svg#WorkSans") format("svg"), url("../fonts/Work_Sans_500.ttf") format("truetype");
}
body {
background: #fff;
color: #777;
}
=====================================================
== File: docs/document/static/fonts/glyphicons-halflings-regular.svg
=====================================================
<?xml version="1.0" standalone="no"?>
<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd" >
<svg xmlns="http://www.w3.org/2000/svg">
<metadata></metadata>
<defs>
<font id="glyphicons_halflingsregular" horiz-adv-x="1200" >
<font-face units-per-em="1200" ascent="960" descent="-240" />
<missing-glyph horiz-adv-x="500" />
<glyph />
<glyph />
<glyph unicode="
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<glyph unicode=" " />
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<glyph unicode="+" d="M0 400v300h400v400h300v-400h400v-300h-400v-400h-300v400h-400z" />
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=====================================================
== File: docs/document/layouts/partials/style.html
=====================================================
<link rel="stylesheet" href="http://cdn.bootcss.com/highlight.js/9.8.0/styles/monokai-sublime.min.css">
<link rel="stylesheet" href="https://shardingsphere.apache.org/document/current/css/style.css">
=====================================================
== File: docs/document/layouts/partials/logo.html
=====================================================
<a href="https://shardingsphere.apache.org/"><img src="https://shardingsphere.apache.org/document/current/img/logo_v3.png" /></a>
=====================================================
== File: docs/document/layouts/partials/favicon.html
=====================================================
<link rel="shortcut icon" href="https://shardingsphere.apache.org/document/current/img/favicon.png" type="image/x-icon" />
=====================================================
== File: docs/document/layouts/partials/menu-footer.html
=====================================================
<p></p>
=====================================================
== File: docs/document/layouts/partials/toc.html
=====================================================
{{ if and (gt .WordCount 400 ) (.Params.toc) }}
<aside>
<header>
<h2>{{.Title}}</h2>
</header>
{{.TableOfContents}}
</aside>
{{ end }}
=====================================================
== File: docs/document/layouts/partials/javascript.html
=====================================================
<script src="http://cdn.bootcss.com/highlight.js/9.8.0/highlight.min.js"></script>
<script>hljs.initHighlightingOnLoad();</script>
=====================================================
== File: docs/document/layouts/index.html
=====================================================
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta http-equiv="refresh" content="0; url=https://shardingsphere.apache.org/document/current/en/overview/">
<title>Index</title>
</head>
<body>
</body>
</html>
=====================================================
== File: docs/document/layouts/shortcodes/bilibili.html
=====================================================
<!DOCTYPE HTML>
<html>
<head>
<style type="text/css">
.aspect-ratio {
position: relative;
width: 100%;
height: 0;
padding-bottom: 75%;
}
.aspect-ratio iframe {
position: absolute;
width: 100%;
height: 100%;
left: 0;
top: 0;
}
</style>
</head>
<body>
<div class="aspect-ratio">
<iframe
src="https://player.bilibili.com/player.html?bvid={{.Get 0 }}&page={{ if .Get 1 }}{{.Get 1}}{{ else }}1&high_quality=1&danmaku=0{{end}}"
scrolling="no"
border="0"
frameborder="no"
framespacing="0"
allowfullscreen="true"
sandbox="allow-top-navigation allow-same-origin allow-forms allow-scripts"
>
</iframe>
</div>
</body>
</html>
<!-- arguements &high_quality=1&danmaku=0 in src control the quality of video and bullet-screen comments-->
<!-- sandbox option avoid jumpping to bilibili.com -->
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/static/fonts/monogramos-webfont.svg
=====================================================
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=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/layouts/partials/logo.html
=====================================================
<a id="logo" href='{{ (cond (and (ne .Site.Params.landingPageURL nil) (.Site.IsMultiLingual)) .Site.Params.landingPageURL "/") }}'>
<svg id="grav-logo" version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"
width="100%" height="100%" viewBox="0 0 285.1 69.9" xml:space="preserve">
<g>
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<g>
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V45h25.8V51.3z"/>
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c0.6-0.2,1.2-0.3,1.9-0.2s1.2,0.4,1.6,0.9l23.2,24.2V16.3h6.3V48.6z"/>
</g>
</svg>
</a>
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/layouts/partials/menu-footer.html
=====================================================
<center>
<!-- Place this tag where you want the button to render. -->
<a class="github-button" href="https://github.com/matcornic/hugo-theme-learn/archive/master.zip" data-icon="octicon-cloud-download" aria-label="Download matcornic/hugo-theme-learn on GitHub">Download</a>
<!-- Place this tag where you want the button to render. -->
<a class="github-button" href="https://github.com/matcornic/hugo-theme-learn" data-icon="octicon-star" data-show-count="true" aria-label="Star matcornic/hugo-theme-learn on GitHub">Star</a>
<!-- Place this tag where you want the button to render. -->
<a class="github-button" href="https://github.com/matcornic/hugo-theme-learn/fork" data-icon="octicon-repo-forked" data-show-count="true" aria-label="Fork matcornic/hugo-theme-learn on GitHub">Fork</a>
<p>Built with <a href="https://github.com/matcornic/hugo-theme-learn"><i class="fas fa-heart"></i></a> from <a href="https://getgrav.org">Grav</a> and <a href="https://gohugo.io/">Hugo</a></p>
</center>
<!-- Place this tag in your head or just before your close body tag. -->
<script async defer src="https://buttons.github.io/buttons.js"></script>
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/layouts/partials/custom-footer.html
=====================================================
<script>
(function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){
(i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o),
m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m)
})(window,document,'script','https://www.google-analytics.com/analytics.js','ga');
ga('create', 'UA-105947713-1', 'auto');
ga('send', 'pageview');
</script>
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/layouts/shortcodes/ghcontributors.html
=====================================================
<style type="text/css">
.ghContributors{
display:flex;
flex-flow: wrap;
align-content: flex-start
}
.ghContributors > div{
width: 50% ;
display: inline-flex;
margin-bottom: 5px;
}
.ghContributors > div label{
padding-left: 4px ;
}
.ghContributors > div span{
font-size: x-small;
padding-left: 4px ;
}
</style>
<div class="ghContributors">
{{ $url := .Get 0 }}
{{ range getJSON $url }}
<div>
<img src="{{.avatar_url}}" class="inline" width="32" height="32" style="height: 32px;height: 32px;margin-bottom:.25em; vertical-align:middle; ">
<label><a href="{{.html_url}}">@{{.login}}</a></label>
<span class="contributions">{{.contributions}} commits</span>
</div>
{{ end }}
</div>
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/cont/menushortcuts.en.md
=====================================================
---
date: 2016-04-09T16:50:16+02:00
title: Menu extra shortcuts
weight: 25
---
You can define additional menu entries or shortcuts in the navigation menu without any link to content.
## Basic configuration
Edit the website configuration `config.toml` and add a `[[menu.shortcuts]]` entry for each link your want to add.
Example from the current website:
[[menu.shortcuts]]
name = "<i class='fab fa-github'></i> Github repo"
identifier = "ds"
url = "https://github.com/matcornic/hugo-theme-learn"
weight = 10
[[menu.shortcuts]]
name = "<i class='fas fa-camera'></i> Showcases"
url = "/showcase"
weight = 11
[[menu.shortcuts]]
name = "<i class='fas fa-bookmark'></i> Hugo Documentation"
identifier = "hugodoc"
url = "https://gohugo.io/"
weight = 20
[[menu.shortcuts]]
name = "<i class='fas fa-bullhorn'></i> Credits"
url = "/credits"
weight = 30
By default, shortcuts are preceded by a title. This title can be disabled by setting `disableShortcutsTitle=true`.
However, if you want to keep the title but change its value, it can be overriden by changing your local i18n translation string configuration.
For example, in your local `i18n/en.toml` file, add the following content
[Shortcuts-Title]
other = "<Your value>"
Read more about [hugo menu](https://gohugo.io/extras/menus/) and [hugo i18n translation strings](https://gohugo.io/content-management/multilingual/#translation-of-strings)
## Configuration for Multilingual mode {#i18n}
When using a multilingual website, you can set different menus for each language. In the `config.toml` file, prefix your menu configuration by `Languages.<language-id>`.
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/cont/archetypes.en.md
=====================================================
---
title: Archetypes
weight: 10
---
Using the command: `hugo new [relative new content path]`, you can start a content file with the date and title automatically set. While this is a welcome feature, active writers need more: [archetypes](https://gohugo.io/content/archetypes/).
It is pre-configured skeleton pages with default front matter. Please refer to the documentation for types of page to understand the differences.
## Chapter {#archetypes-chapter}
To create a Chapter page, run the following commands
```
hugo new --kind chapter <name>/_index.md
```
It will create a page with predefined Front-Matter:
```markdown
+++
title = "{{ replace .Name "-" " " | title }}"
date = {{ .Date }}
weight = 5
chapter = true
pre = "<b>X. </b>"
+++
### Chapter X
# Some Chapter title
Lorem Ipsum.
```
## Default
To create a default page, run either one of the following commands
```
# Either
hugo new <chapter>/<name>/_index.md
# Or
hugo new <chapter>/<name>.md
```
It will create a page with predefined Front-Matter:
```markdown
+++
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/cont/tags.fr.md
=====================================================
---
date: 2018-11-29T08:41:44+01:00
title: Tags
weight: 40
tags: ["documentation", "tutorial"]
---
Le *thème Learn* supporte une des taxonomy par défaut de GoHugo : les tags.
## Configuration
Il suffit d'ajouter un tableau de tags sur la page :
```markdown
---
date: 2018-11-29T08:41:44+01:00
title: Tutoriel pour le thème
weight: 15
tags: ["tutoriel", "theme"]
---
```
## Comportement
Les tags sont affichés en haut de la page, dans l'ordre dans lequel ils ont été saisis.
Chaque tag est un lien vers une page *Taxonomy*, qui affiche tous les article avec ce tag.
## Liste des tags
Il est possible de rajouter un raccourci dans le fichier `config.toml` afin d'afficher une page listant tous les tags
```toml
[[menu.shortcuts]]
name = "<i class='fas fa-tags'></i> Tags"
url = "/tags"
weight = 30
```
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/cont/i18n/_index.fr.md
=====================================================
---
date: 2016-04-09T16:50:16+02:00
title: Multi-langue et i18n
weight: 30
---
**Learn** est complètement compatible avec le mode multi-langue d'Hugo.
Il fournit :
- Des *translation strings* pour les valeurs par défaut utilisées par le thème (Anglais et Français). N'hésitez pas à contribuer !
- Génération automatique du menu avec le contenu multi-langue
- Modification de la langue dans le navigateur
## Configuration simple
Après avoir appris [comment Hugo gère les sites multi-langue](https://gohugo.io/content-management/multilingual), définissez vos langues dans votre fichier `config.toml`.
Par exemple, pour ce site, avec du contenu en français et en anglais.
```toml
# Anglais est la langue par défaut
defaultContentLanguage = "en"
# Force d'avoir /en/ma-page et /fr/ma-page routes, même avec la langue par défaut.
defaultContentLanguageInSubdir= true
[Languages]
[Languages.en]
title = "Documentation for Hugo Learn Theme"
weight = 1
languageName = "English"
[Languages.fr]
title = "Documentation du thème Hugo Learn"
weight = 2
languageName = "Français"
```
Puis, pour chaque nouvelle page, ajoutez *l'id* de la langue du fichier.
- Le fichier `my-page.md` est découpé en deux fichiers :
- en anglais : `my-page.en.md`
- en français : `my-page.fr.md`
- Le fichier `_index.md` est découpé en deux fichiers :
- en anglais: `_index.en.md`
- en français: `_index.fr.md`
{{% notice info %}}
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/cont/i18n/_index.en.md
=====================================================
---
date: 2016-04-09T16:50:16+02:00
title: Multilingual and i18n
weight: 30
---
**Learn theme** is fully compatible with Hugo multilingual mode.
It provides:
- Translation strings for default values (English and French). Feel free to contribute !
- Automatic menu generation from multilingual content
- In-browser language switching
## Basic configuration
After learning [how Hugo handle multilingual websites](https://gohugo.io/content-management/multilingual), define your languages in your `config.toml` file.
For example with current French and English website.
```toml
# English is the default language
defaultContentLanguage = "en"
# Force to have /en/my-page and /fr/my-page routes, even for default language.
defaultContentLanguageInSubdir= true
[Languages]
[Languages.en]
title = "Documentation for Hugo Learn Theme"
weight = 1
languageName = "English"
[Languages.fr]
title = "Documentation du thème Hugo Learn"
weight = 2
languageName = "Français"
```
Then, for each new page, append the *id* of the language to the file.
- Single file `my-page.md` is split in two files:
- in English: `my-page.en.md`
- in French: `my-page.fr.md`
- Single file `_index.md` is split in two files:
- in English: `_index.en.md`
- in French: `_index.fr.md`
{{% notice info %}}
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/cont/archetypes.fr.md
=====================================================
---
title: Archétypes
weight: 10
---
En utilisant la commande: `hugo new [chemin vers nouveau contenu]`, vous pouvez créer un nouveau fichier avec la date et le title automatiquement initialisé. Même si c'est une fonctionnalité intéressante, elle reste limitée pour les auteurs actifs qui ont besoin de mieux : les [archetypes](https://gohugo.io/content/archetypes/).
Les archétypes sont des squelettes de pages préconfigurées avec un Front Matter par défaut. Merci de vous référer à la documentation pour connaitre les différents types de page.
## Chapitre {#archetypes-chapter}
Pour créer un chapitre, lancez les commandes suivantes
```
hugo new --kind chapter <name>/_index.md
```
Cela crééra une page avec le Front Matter suivant:
```markdown
+++
title = "{{ replace .Name "-" " " | title }}"
date = {{ .Date }}
weight = 5
chapter = true
pre = "<b>X. </b>"
+++
### Chapter X
# Some Chapter title
Lorem Ipsum.
```
## Défaut
Pour créer une page classique, lancer l'une des deux commandes suivantes
```
# Soit
hugo new <chapter>/<name>/_index.md
# Ou
hugo new <chapter>/<name>.md
```
Cela crééra une page avec le Front Matter suivant:
```markdown
+++
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/cont/markdown.fr.md
=====================================================
---
date: 2016-04-09T16:50:16+02:00
title: Syntaxe Markdown
weight: 15
---
{{% notice note %}}
Cette page est une copie de la [doc de Grav](http://learn.getgrav.org/content/markdown).
La seule différence porte sur la personalisation des images ([taille]({{< relref "#resizing-image" >}}), [ajout de classes CSS]({{< relref "#add-css-classes" >}})...)
Pour des raisons évidentes, cette page n'a pas été traduites en français ??
{{% /notice%}}
Let's face it: Writing content for the Web is tiresome. WYSIWYG editors help alleviate this task, but they generally result in horrible code, or worse yet, ugly web pages.
**Markdown** is a better way to write **HTML**, without all the complexities and ugliness that usually accompanies it.
Some of the key benefits are:
1. Markdown is simple to learn, with minimal extra characters so it's also quicker to write content.
2. Less chance of errors when writing in markdown.
3. Produces valid XHTML output.
4. Keeps the content and the visual display separate, so you cannot mess up the look of your site.
5. Write in any text editor or Markdown application you like.
6. Markdown is a joy to use!
John Gruber, the author of Markdown, puts it like this:
> The overriding design goal for Markdown’s formatting syntax is to make it as readable as possible. The idea is that a Markdown-formatted document should be publishable as-is, as plain text, without looking like it’s been marked up with tags or formatting instructions. While Markdown’s syntax has been influenced by several existing text-to-HTML filters, the single biggest source of inspiration for Markdown’s syntax is the format of plain text email.
> -- <cite>John Gruber</cite>
Grav ships with built-in support for [Markdown](http://daringfireball.net/projects/markdown/) and [Markdown Extra](https://michelf.ca/projects/php-markdown/extra/). You must enable **Markdown Extra** in your `system.yaml` configuration file
Without further delay, let us go over the main elements of Markdown and what the resulting HTML looks like:
{{% notice info %}}
<i class="fas fa-bookmark"></i> Bookmark this page for easy future reference!
{{% /notice %}}
## Headings
Headings from `h1` through `h6` are constructed with a `#` for each level:
```markdown
# h1 Heading
## h2 Heading
### h3 Heading
#### h4 Heading
##### h5 Heading
###### h6 Heading
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/cont/syntaxhighlight.en.md
=====================================================
---
date: 2020-06-01T13:31:12+01:00
title: Code highlighting
weight: 16
---
Learn theme uses [highlight.js](https://highlightjs.org/) to provide code syntax highlighting.
## Markdown syntax
Wrap the code block with three backticks and the name of the language. Highlight will try to auto detect the language if one is not provided.
<!-- markdownlint-disable MD046 -->
```plaintext
```json
[
{
"title": "apples",
"count": [12000, 20000],
"description": {"text": "...", "sensitive": false}
},
{
"title": "oranges",
"count": [17500, null],
"description": {"text": "...", "sensitive": false}
}
]
```
```
<!-- markdownlint-disable MD046 -->
Renders to:
```json
[
{
"title": "apples",
"count": [12000, 20000],
"description": {"text": "...", "sensitive": false}
},
{
"title": "oranges",
"count": [17500, null],
"description": {"text": "...", "sensitive": false}
}
]
```
## Supported languages
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/cont/_index.fr.md
=====================================================
---
title: Contenu
weight: 10
chapter: true
pre: "<b>2. </b>"
---
### Chapitre 2
# Contenu
Découvrez comment créer et organiser votre contenu facilement et intuitivement.
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/cont/_index.en.md
=====================================================
---
title: Content
weight: 10
chapter: true
pre: "<b>2. </b>"
---
### Chapter 2
# Content
Find out how to create and organize your content quickly and intuitively.
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/cont/tags.en.md
=====================================================
---
date: 2018-11-29T08:41:44+01:00
title: Tags
weight: 40
tags: ["documentation", "tutorial"]
---
*Learn theme* support one default taxonomy of gohugo: the *tag* feature.
## Configuration
Just add tags to any page:
```markdown
---
date: 2018-11-29T08:41:44+01:00
title: Theme tutorial
weight: 15
tags: ["tutorial", "theme"]
---
```
## Behavior
The tags are displayed at the top of the page, in their insertion order.
Each tag is a link to a *Taxonomy* page displaying all the articles with the given tag.
## List all the tags
In the `config.toml` file you can add a shortcut to display all the tags
```toml
[[menu.shortcuts]]
name = "<i class='fas fa-tags'></i> Tags"
url = "/tags"
weight = 30
```
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/cont/icons.en.md
=====================================================
---
title: Icons and logos
weight: 27
---
The Learn theme for Hugo loads the [**Font Awesome**](https://fontawesome.com) library, allowing you to easily display any icon or logo available in the Font Awesome free collection.
## Finding an icon
Browse through the available icons in the [Font Awesome Gallery](https://fontawesome.com/icons?d=gallery&m=free). Notice that the **free** filter is enabled, as only the free icons are available by default.
Once on the Font Awesome page for a specific icon, for example the page for the [heart](https://fontawesome.com/icons/heart?style=solid), copy the HTML reference and paste into the markdown content.
The HTML to include the heart icon is:
```
<i class="fas fa-heart"></i>
```
## Including in markdown
Paste the `<i>` HTML into markup and Font Awesome will load the relevant icon.
```
Built with <i class="fas fa-heart"></i> from Grav and Hugo
```
Which appears as
Built with <i class="fas fa-heart"></i> from Grav and Hugo
## Customising icons
Font Awesome provides many ways to modify the icon
* Change colour (by default the icon will inherit the parent colour)
* Increase or decrease size
* Rotate
* Combine with other icons
Check the full documentation on [web fonts with CSS](https://fontawesome.com/how-to-use/web-fonts-with-css) for more.
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/cont/pages/_index.fr.md
=====================================================
---
date: 2016-04-09T16:50:16+02:00
title: Organisation des pages
weight: 5
---
Dans **Hugo**, les pages sont le cœur de votre site. Une fois configurées, les pages sont la valeur ajoutée de votre site de documentation.
## Dossiers
Organisez votre site comme n'importe quel autre [projet Hugo](https://gohugo.io/content/organization/). Typiquement, vous allez avoir un dossier *content* avec vos pages.
content
├── niveau-un
│ ├── niveau-deux
│ │ ├── niveau-trois
│ │ │ ├── niveau-quatre
│ │ │ │ ├── _index.md <-- /niveau-un/niveau-deux/niveau-trois/niveau-quatre
│ │ │ │ ├── page-4-a.md <-- /niveau-un/niveau-deux/niveau-trois/niveau-quatre/page-4-a
│ │ │ │ ├── page-4-b.md <-- /niveau-un/niveau-deux/niveau-trois/niveau-quatre/page-4-b
│ │ │ │ └── page-4-c.md <-- /niveau-un/niveau-deux/niveau-trois/niveau-quatre/page-4-c
│ │ │ ├── _index.md <-- /niveau-un/niveau-deux/niveau-trois
│ │ │ ├── page-3-a.md <-- /niveau-un/niveau-deux/niveau-trois/page-3-a
│ │ │ ├── page-3-b.md <-- /niveau-un/niveau-deux/niveau-trois/page-3-b
│ │ │ └── page-3-c.md <-- /niveau-un/niveau-deux/niveau-trois/page-3-c
│ │ ├── _index.md <-- /niveau-un/niveau-deux
│ │ ├── page-2-a.md <-- /niveau-un/niveau-deux/page-2-a
│ │ ├── page-2-b.md <-- /niveau-un/niveau-deux/page-2-b
│ │ └── page-2-c.md <-- /niveau-un/niveau-deux/page-2-c
│ ├── _index.md <-- /niveau-un
│ ├── page-1-a.md <-- /niveau-un/page-1-a
│ ├── page-1-b.md <-- /niveau-un/page-1-b
│ └── page-1-c.md <-- /niveau-un/page-1-c
├── _index.md <-- /
└── premiere-page.md <-- /premiere-page
{{% notice note %}}
Le fichier `_index.md` est obligatoire dans chaque dossier, c'est en quelque sorte votre page d'accueil pour le dossier.
{{% /notice %}}
## Types
**Hugo-theme-learn** définit deux types de pages. *Défaut* et *Chapitre*. Les deux sont utilisables à n'importe quel niveau du site, la seule différence est dans l'affichage.
Un **Chapitre** affiche une page vouée à être une introduction pour un ensemble de pages filles. Habituellement, il va seulement contenir un titre et un résumé de la section.
Vous pouvez définir n'importe quel contenu HTML comme préfixe de l'entrée du menu. Dans l'exemple ci-dessous, c'est juste un nombre mais vous pourriez utiliser une [icône](https://fortawesome.github.io/Font-Awesome/).
```markdown
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/cont/pages/_index.en.md
=====================================================
---
date: 2016-04-09T16:50:16+02:00
title: Pages organization
weight: 5
---
In **Hugo**, pages are the core of your site. Once it is configured, pages are definitely the added value to your documentation site.
## Folders
Organize your site like [any other Hugo project](https://gohugo.io/content/organization/). Typically, you will have a *content* folder with all your pages.
content
├── level-one
│ ├── level-two
│ │ ├── level-three
│ │ │ ├── level-four
│ │ │ │ ├── _index.md <-- /level-one/level-two/level-three/level-four
│ │ │ │ ├── page-4-a.md <-- /level-one/level-two/level-three/level-four/page-4-a
│ │ │ │ ├── page-4-b.md <-- /level-one/level-two/level-three/level-four/page-4-b
│ │ │ │ └── page-4-c.md <-- /level-one/level-two/level-three/level-four/page-4-c
│ │ │ ├── _index.md <-- /level-one/level-two/level-three
│ │ │ ├── page-3-a.md <-- /level-one/level-two/level-three/page-3-a
│ │ │ ├── page-3-b.md <-- /level-one/level-two/level-three/page-3-b
│ │ │ └── page-3-c.md <-- /level-one/level-two/level-three/page-3-c
│ │ ├── _index.md <-- /level-one/level-two
│ │ ├── page-2-a.md <-- /level-one/level-two/page-2-a
│ │ ├── page-2-b.md <-- /level-one/level-two/page-2-b
│ │ └── page-2-c.md <-- /level-one/level-two/page-2-c
│ ├── _index.md <-- /level-one
│ ├── page-1-a.md <-- /level-one/page-1-a
│ ├── page-1-b.md <-- /level-one/page-1-b
│ └── page-1-c.md <-- /level-one/page-1-c
├── _index.md <-- /
└── page-top.md <-- /page-top
{{% notice note %}}
`_index.md` is required in each folder, it’s your “folder home page”
{{% /notice %}}
## Types
**Hugo-theme-learn** defines two types of pages. *Default* and *Chapter*. Both can be used at any level of the documentation, the only difference being layout display.
A **Chapter** displays a page meant to be used as introduction for a set of child pages. Commonly, it contains a simple title and a catch line to define content that can be found under it.
You can define any HTML as prefix for the menu. In the example below, it's just a number but that could be an [icon](https://fortawesome.github.io/Font-Awesome/).
```markdown
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/cont/menushortcuts.fr.md
=====================================================
---
date: 2016-04-09T16:50:16+02:00
title: Raccourcis du menu
weight: 25
---
Vous pouvez définir des entrées ou raccourcis supplémentaires dans le menu sans avoir besoin d'être lié à un contenu du site.
## Configuration simple
Editez le fichier de configuration `config.toml` et ajoutez une entrée `[[menu.shortcuts]]` pour chaque lien que vous voulez ajouter.
Exemple pour ce site:
[[menu.shortcuts]]
name = "<i class='fab fa-github'></i> Github repo"
identifier = "ds"
url = "https://github.com/matcornic/hugo-theme-learn"
weight = 10
[[menu.shortcuts]]
name = "<i class='fas fa-camera'></i> Showcases"
url = "/showcase"
weight = 11
[[menu.shortcuts]]
name = "<i class='fas fa-bookmark'></i> Hugo Documentation"
identifier = "hugodoc"
url = "https://gohugo.io/"
weight = 20
[[menu.shortcuts]]
name = "<i class='fas fa-bullhorn'></i> Credits"
url = "/credits"
weight = 30
Par défaut, les raccourcis sont précédés par un titre. Ce titre peut être désactivé en ajouter le paramètre `disableShortcutsTitle=true` dans la section `params` de votre `config.toml`.
Cependant, si vous voulez garder le titre mais changer sa valeur, vous pouvez modifier votre configuration multilangue locale en changeant les *translation string*.
Par exemple, dans votre fichier local `i18n/en.toml`, ajouter le contenu
[Shortcuts-Title]
other = "<Votre valeur>"
Plus d'infos sur [les menus Hugo](https://gohugo.io/extras/menus/) et sur [les translations strings](https://gohugo.io/content-management/multilingual/#translation-of-strings)
## Configuration pour le mode multi-langue {#i18n}
Quand vous utilisez un site multi-langue, vous pouvez avoir des menus différents pour chaque langage. Dans le fichier de configuration `config.toml`, préfixez votre configuration par `Languages.<language-id>`.
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/cont/markdown.en.md
=====================================================
---
date: 2016-04-09T16:50:16+02:00
title: Markdown syntax
weight: 15
---
{{% notice note %}}
This page is a shameful copy of the great [Grav original page](http://learn.getgrav.org/content/markdown).
Only difference is information about image customization ([resizing]({{< relref "#resizing-image" >}}), [add CSS classes]({{< relref "#add-css-classes" >}})...)
{{% /notice%}}
Let's face it: Writing content for the Web is tiresome. WYSIWYG editors help alleviate this task, but they generally result in horrible code, or worse yet, ugly web pages.
**Markdown** is a better way to write **HTML**, without all the complexities and ugliness that usually accompanies it.
Some of the key benefits are:
1. Markdown is simple to learn, with minimal extra characters so it's also quicker to write content.
2. Less chance of errors when writing in markdown.
3. Produces valid XHTML output.
4. Keeps the content and the visual display separate, so you cannot mess up the look of your site.
5. Write in any text editor or Markdown application you like.
6. Markdown is a joy to use!
John Gruber, the author of Markdown, puts it like this:
> The overriding design goal for Markdown’s formatting syntax is to make it as readable as possible. The idea is that a Markdown-formatted document should be publishable as-is, as plain text, without looking like it’s been marked up with tags or formatting instructions. While Markdown’s syntax has been influenced by several existing text-to-HTML filters, the single biggest source of inspiration for Markdown’s syntax is the format of plain text email.
> -- John Gruber
Grav ships with built-in support for [Markdown](http://daringfireball.net/projects/markdown/) and [Markdown Extra](https://michelf.ca/projects/php-markdown/extra/). You must enable **Markdown Extra** in your `system.yaml` configuration file
Without further delay, let us go over the main elements of Markdown and what the resulting HTML looks like:
{{% notice info %}}
<i class="fas fa-bookmark"></i> Bookmark this page for easy future reference!
{{% /notice %}}
## Headings
Headings from `h1` through `h6` are constructed with a `#` for each level:
```markdown
# h1 Heading
## h2 Heading
### h3 Heading
#### h4 Heading
##### h5 Heading
###### h6 Heading
```
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/credits.fr.md
=====================================================
---
title: Crédits
disableToc: true
---
## Contributeurs
Merci à eux <i class="fas fa-heart"></i> de rendre le monde Open Source meilleur !
{{% ghcontributors "https://api.github.com/repos/matcornic/hugo-theme-learn/contributors?per_page=100" %}}
Et un grand merci à [@vjeantet](https://github.com/vjeantet) pour son travail sur [docdock](https://github.com/vjeantet/hugo-theme-docdock), un fork de _hugo-theme-learn_. La v2.0.0 du thème est en grande partie inspirée de son travail.
## Packages et librairies
* [mermaid](https://mermaid-js.github.io/) - géneration de diagrames et graphiques à partir de texte similaire à Markdown
* [font awesome](http://fontawesome.io/) - Le framework de polices iconiques
* [jQuery](https://jquery.com) - La plus connue des librairies Javascript
* [lunr](https://lunrjs.com) - Lunr fournit des fonctions de recherche sans service externe
* [horsey](https://bevacqua.github.io/horsey/) - Autocomplétion de composants (utiliser pour les suggestions de recherche)
* [clipboard.js](https://zenorocha.github.io/clipboard.js) - Copier le texte dans le presse-papier
* [highlight.js](https://highlightjs.org) - Mise en valeur de syntaxes
* [modernizr](https://modernizr.com) - Une boite à outil Javascript qui permet aux développeurs d'utiliser les dernières fonctionnalités de CSS et HTML5, même sur de vieux navigateurs.
## Outils
* [Netlify](https://www.netlify.com) - Déploiement continue et hébergement de cette documentation
* [Hugo](https://gohugo.io/)
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/basics/configuration/_index.fr.md
=====================================================
---
date: 2016-04-09T16:50:16+02:00
title: Configuration
weight: 20
---
## Paramètres globaux du site
En plus de la [configuration globale d'Hugo](https://gohugo.io/overview/configuration/), **Hugo-theme-learn** vous permet de définir les paramètres suivant dans votre fichier `config.toml` (ci-dessous sont affichées les valeurs par défaut).
Notez que certains de ces paramètres sont expliqués en détails dans d'autres sections de cette documentation.
```toml
[params]
# L'URL préfixe pour éditer la page courante. Ce paramètre affichera un bouton "Modifier cette page" on haut de de chacune des pages.
# Pratique pour donner les possibilité à vos utilisateurs de créer une merge request pour votre doc.
# Allez voir le fichier config.toml de cette documentation pour avoir un exemple.
editURL = ""
# Autheur du site, est utilisé dans les informations meta
author = ""
# Description du site, est utilisé dans les informations meta
description = ""
# Affiche une icône lorsque la page a été visitée
showVisitedLinks = false
# Désactive la fonction de recherche. Une valeur à true cache la barre de recherche.
disableSearch = false
# Par défaut, le cache Javascript et CSS est automatiquement vidé lorsqu'une nouvelle version du site est générée.
# Utilisez ce paramètre lorsque vous voulez désactiver ce comportement (c'est parfois incompatible avec certains proxys)
disableAssetsBusting = false
# Utilisez ce paramètre pour désactiver le bouton copy-to-clipboard pour le code formatté sur une ligne.
disableInlineCopyToClipBoard = false
# Un titre est défini par défaut lorsque vous utilisez un raccourci dans le menu. Utilisez ce paramètre pour le cacher.
disableShortcutsTitle = false
# S'il est réglé sur faux, un bouton Accueil apparaîtra sous la barre de recherche dans le menu.
# Il redirige vers la page d'accueil de la langue actuelle si cela est spécifié. (La valeur par défaut est "/")
disableLandingPageButton = true
# Si défini à true, empêche Hugo d'inclure le module "mermaid" s'il n'est pas nécessaire (réduira les temps de chargement et le trafic)
disableMermaid = false
# Spécifie l'emplacement distant du mermaid js
customMermaidURL = "https://unpkg.com/mermaid@8.8.0/dist/mermaid.min.js"
# Quand vous utilisez un site multi-langue, utilisez ce paramètre pour désactiver le bouton de changement de langue.
disableLanguageSwitchingButton = false
# Ordonne les sections dans menu par poids ("weight") ou titre ("title"). Défaut à "weight"
ordersectionsby = "weight"
# Utilisez ce paramètre pour modifier le schéma de couleur du site. Les valeurs par défaut sont "red", "blue", "green".
themeVariant = ""
# Fournissez une liste de fichiers css personnalisés à charger par rapport depuis le dossier `static/` à la racine du site.
custom_css = ["css/foo.css", "css/bar.css"]
```
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/basics/configuration/_index.en.md
=====================================================
---
date: 2016-04-09T16:50:16+02:00
title: Configuration
weight: 20
---
## Global site parameters
On top of [Hugo global configuration](https://gohugo.io/overview/configuration/), **Hugo-theme-learn** lets you define the following parameters in your `config.toml` (here, values are default).
Note that some of these parameters are explained in details in other sections of this documentation.
```toml
[params]
# Prefix URL to edit current page. Will display an "Edit this page" button on top right hand corner of every page.
# Useful to give opportunity to people to create merge request for your doc.
# See the config.toml file from this documentation site to have an example.
editURL = ""
# Author of the site, will be used in meta information
author = ""
# Description of the site, will be used in meta information
description = ""
# Shows a checkmark for visited pages on the menu
showVisitedLinks = false
# Disable search function. It will hide search bar
disableSearch = false
# Javascript and CSS cache are automatically busted when new version of site is generated.
# Set this to true to disable this behavior (some proxies don't handle well this optimization)
disableAssetsBusting = false
# Set this to true to disable copy-to-clipboard button for inline code.
disableInlineCopyToClipBoard = false
# A title for shortcuts in menu is set by default. Set this to true to disable it.
disableShortcutsTitle = false
# If set to false, a Home button will appear below the search bar on the menu.
# It is redirecting to the landing page of the current language if specified. (Default is "/")
disableLandingPageButton = true
# When using mulitlingual website, disable the switch language button.
disableLanguageSwitchingButton = false
# Hide breadcrumbs in the header and only show the current page title
disableBreadcrumb = true
# If set to true, prevents Hugo from including the mermaid module if not needed (will reduce load times and traffic)
disableMermaid = false
# Specifies the remote location of the mermaid js
customMermaidURL = "https://unpkg.com/mermaid@8.8.0/dist/mermaid.min.js"
# Hide Next and Previous page buttons normally displayed full height beside content
disableNextPrev = true
# Order sections in menu by "weight" or "title". Default to "weight"
ordersectionsby = "weight"
# Change default color scheme with a variant one. Can be "red", "blue", "green".
themeVariant = ""
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/basics/_index.fr.md
=====================================================
---
title: Démarrage
weight: 5
pre: "<b>1. </b>"
chapter: true
---
### Chapitre 1
# Démarrage
Découvrez comment utiliser ce thème Hugo et apprenez-en les concepts
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/basics/installation/_index.fr.md
=====================================================
---
title: Installation
weight: 15
---
Les étapes suivantes sont là pour vous aider à initialiser votre site. Si vous ne connaissez pas du tout Hugo, il est fortement conseillé de vous entrainer en suivant ce [super tuto pour débutants](https://gohugo.io/overview/quickstart/).
## Créer votre projet
Hugo fournit une commande `new` pour créer un nouveau site.
```
hugo new site <new_project>
```
## Installer le thème
Installer le thème **Hugo-theme-learn** en suivant [cette documentation](https://gohugo.io/themes/installing/)
Le repo du thème est : https://github.com/matcornic/hugo-theme-learn.git
Sinon, vous pouvez [télécharger le thème sous forme d'un fichier .zip](https://github.com/matcornic/hugo-theme-learn/archive/master.zip) et extrayez le dans votre dossier de thèmes.
## Configuration simple
Lorsque vous générez votre site, vous pouvez définir un thème en utilisant l'option `--theme`. Il est conseillé de modifier votre fichier de configuration `config.toml` and définir votre thème par défaut. En passant, ajoutez les prérequis à l'utilisation de la fonctionnalité de recherche.
```toml
# Modifiez le thème pour qu'il soit utilisé par défaut à chaque génération de site.
theme = "hugo-theme-learn"
# Pour la fonctionnalité de recherche
[outputs]
home = [ "HTML", "RSS", "JSON"]
```
## Créer votre première page chapitre
Les *chapitres* sont des pages contenant d'autre pages filles. Elles ont un affichage spécial et contiennent habituellement juste un _nom_ de chapitre, le _titre_ et un _résumé_ de la section.
```
### Chapitre 1
# Démarrage
Découvrez comment utiliser ce thème Hugo et apprenez en les concepts
```
s'affiche comme
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/basics/installation/_index.en.md
=====================================================
---
title: Installation
weight: 15
---
The following steps are here to help you initialize your new website. If you don't know Hugo at all, we strongly suggest you learn more about it by following this [great documentation for beginners](https://gohugo.io/overview/quickstart/).
## Create your project
Hugo provides a `new` command to create a new website.
```
hugo new site <new_project>
```
## Install the theme
Install the **Hugo-theme-learn** theme by following [this documentation](https://gohugo.io/getting-started/quick-start/#step-3-add-a-theme)
This theme's repository is: https://github.com/matcornic/hugo-theme-learn.git
Alternatively, you can [download the theme as .zip](https://github.com/matcornic/hugo-theme-learn/archive/master.zip) file and extract it in the `themes` directory
## Basic configuration
When building the website, you can set a theme by using `--theme` option. However, we suggest you modify the configuration file (`config.toml`) and set the theme as the default. You can also add the `[outputs]` section to enable the search functionality.
```toml
# Change the default theme to be use when building the site with Hugo
theme = "hugo-theme-learn"
# For search functionality
[outputs]
home = [ "HTML", "RSS", "JSON"]
```
## Create your first chapter page
Chapters are pages that contain other child pages. It has a special layout style and usually just contains a _chapter name_, the _title_ and a _brief abstract_ of the section.
```
### Chapter 1
# Basics
Discover what this Hugo theme is all about and the core concepts behind it.
```
renders as
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/basics/_index.en.md
=====================================================
---
title: Basics
weight: 5
pre: "<b>1. </b>"
chapter: true
---
### Chapter 1
# Basics
Discover what this Hugo theme is all about and the core-concepts behind it.
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/basics/requirements/_index.fr.md
=====================================================
---
title: Prérequis
weight: 10
disableToc: true
---
Grâce à la simplicité d'Hugo, cette page est vide car il n'y a quasi pas de prérequis pour utiliser le thème.
Téléchargez la dernière version du [binaire Hugo (> 0.25)](https://gohugo.io/getting-started/installing/) pour votre Système d'exploitation (Windows, Linux, Mac) : et c'est tout !
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/basics/requirements/_index.en.md
=====================================================
---
title: Requirements
weight: 10
disableToc: true
---
Thanks to the simplicity of Hugo, this page is as empty as this theme needs requirements.
Just download latest version of [Hugo binary (> 0.25)](https://gohugo.io/getting-started/installing/) for your OS (Windows, Linux, Mac) : it's that simple.
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/basics/_index.zh.md
=====================================================
---
title: 基础
weight: 5
pre: "<b>1. </b>"
chapter: true
---
### 章节 1
# 基础
了解该 Hugo 主题的特点以及背后的核心概念。
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/basics/style-customization/_index.fr.md
=====================================================
---
date: 2016-04-09T16:50:16+02:00
title: Personnalisation du style
weight: 25
---
**Hugo-theme-learn** a été conçu pour être aussi configurable que possible en définissant plusieurs [partials](https://gohugo.io/templates/partials/)
Dans `themes/hugo-theme-learn/layouts/partials/`, vous pourrez trouver tous les *partials* définis pour ce thème. Si vous avez besoin d'écraser quelque chose, ne modifiez pas le code directement. A la place, [suivez cette page](https://gohugo.io/themes/customizing/). Vous créerez alors un nouveau *partial* dans le dossier `layouts/partials` de votre site local. Ce *partial* aura la priorité.
Ce thème définit les *partials* suivant :
- *header*: l'en-tête de la page page (contient le fil d'Ariane). _Pas voué à être écrasé_
- *custom-header*: En-tête personnalisé. Voué à être écrasé quand vous ajoutez des imports CSS. N'oubliez pas d'inclure la balise HTML `style` dans votre fichier
- *footer*: le pied-de-page de la page (contains les flèches). _Pas voué à être écrasé_
- *custom-footer*: Pied-de-page personnalisé. Voué à être écrasé quand vous ajoutez du Javascript. N'oubliez pas d'inclure la balise HTML `javascript` dans votre fichier
- *favicon*: le favicon
- *logo*: le logo, affiché un haut à gauche.
- *meta*: les balises HTML meta, que vous pouvez écraser sans problème.
- *menu*: Le menu à gauche. _Pas voué à être écrasé_
- *menu-footer*: Le pied-de-page du menu
- *search*: le champ de recherche
- *toc*: le sommaire
## Changer le logo
Créez un nouveau fichier dans `layouts/partials/`, nommé `logo.html`. Puis, écrivez le code HTML voulu.
Vous pourriez utiliser une balise HTML `img` et référencer une image créée dans le dossier *static*, voire même y coller un code SVG !
{{% notice note %}}
La taille du logo va s'adapter automatiquement
{{% /notice %}}
## Changer le favicon
Si votre favicon est un png, déposez votre image dans votre dossier local `static/images/` et nommez le `favicon.png`
Si vous avez besoin de changer ce comportement par défaut, créer un nouveau fichier dans `layouts/partials/` et nommez le `favicon.html`. Puis ajoutez quelque chose comme:
```html
<link rel="shortcut icon" href="/images/favicon.png" type="image/x-icon" />
```
## Changer les couleurs par défaut {#theme-variant}
**Hugo Learn theme** vous permet de choisir nativement entre 3 schéma de couleurs, mais n'hésitez pas à en ajouter d'autres ! Les couleurs par défaut sont celles de [Grav Learn Theme](https://learn.getgrav.org/).
### Variante rouge
```toml
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/basics/style-customization/_index.en.md
=====================================================
---
date: 2016-04-09T16:50:16+02:00
title: Style customization
weight: 25
---
**Hugo-theme-learn** has been built to be as configurable as possible by defining multiple [partials](https://gohugo.io/templates/partials/)
In `themes/hugo-theme-learn/layouts/partials/`, you will find all the partials defined for this theme. If you need to overwrite something, don't change the code directly. Instead [follow this page](https://gohugo.io/themes/customizing/). You'd create a new partial in the `layouts/partials` folder of your local project. This partial will have the priority.
This theme defines the following partials :
- *header*: the header of the content page (contains the breadcrumbs). _Not meant to be overwritten_
- *custom-header*: custom headers in page. Meant to be overwritten when adding CSS imports. Don't forget to include `style` HTML tag directive in your file
- *footer*: the footer of the content page (contains the arrows). _Not meant to be overwritten_
- *custom-footer*: custom footer in page. Meant to be overwritten when adding Javacript. Don't forget to include `javascript` HTML tag directive in your file
- *favicon*: the favicon
- *logo*: the logo, on top left hand corner.
- *meta*: HTML meta tags, if you want to change default behavior
- *menu*: left menu. _Not meant to be overwritten_
- *menu-footer*: footer of the the left menu
- *search*: search box
- *toc*: table of contents
## Change the logo
Create a new file in `layouts/partials/` named `logo.html`. Then write any HTML you want.
You could use an `img` HTML tag and reference an image created under the *static* folder, or you could paste a SVG definition !
{{% notice note %}}
The size of the logo will adapt automatically
{{% /notice %}}
## Change the favicon
If your favicon is a png, just drop off your image in your local `static/images/` folder and name it `favicon.png`
If you need to change this default behavior, create a new file in `layouts/partials/` named `favicon.html`. Then write something like this:
```html
<link rel="shortcut icon" href="/images/favicon.png" type="image/x-icon" />
```
## Change default colors {#theme-variant}
**Hugo Learn theme** let you choose between 3 native color scheme variants, but feel free to add one yourself ! Default color scheme is based on [Grav Learn Theme](https://learn.getgrav.org/).
### Red variant
```toml
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/showcase.fr.md
=====================================================
---
title: Vitrine
disableToc: true
slug: vitrine
---
#### [TAT](https://ovh.github.io/tat/overview/) par OVH
#### [Tshark.dev](https://tshark.dev) par Ross Jacobs
#### [inteliver](https://docs.inteliver.com) by Amir Lavasani
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/credits.en.md
=====================================================
---
title: Credits
disableToc: true
---
## Contributors
Thanks to them <i class="fas fa-heart"></i> for making Open Source Software a better place !
{{% ghcontributors "https://api.github.com/repos/matcornic/hugo-theme-learn/contributors?per_page=100" %}}
And a special thanks to [@vjeantet](https://github.com/vjeantet) for his work on [docdock](https://github.com/vjeantet/hugo-theme-docdock), a fork of hugo-theme-learn. v2.0.0 of this theme is inspired by his work.
## Packages and libraries
* [mermaid](https://mermaid-js.github.io/) - generation of diagram and flowchart from text in a similar manner as markdown
* [font awesome](http://fontawesome.io/) - the iconic font and CSS framework
* [jQuery](https://jquery.com) - The Write Less, Do More, JavaScript Library
* [lunr](https://lunrjs.com) - Lunr enables you to provide a great search experience without the need for external, server-side, search services...
* [horsey](https://bevacqua.github.io/horsey/) - Progressive and customizable autocomplete component
* [clipboard.js](https://zenorocha.github.io/clipboard.js) - copy text to clipboard
* [highlight.js](https://highlightjs.org) - Javascript syntax highlighter
* [modernizr](https://modernizr.com) - A JavaScript toolkit that allows web developers to use new CSS3 and HTML5 features while maintaining a fine level of control over browsers that don't support
## Tooling
* [Netlify](https://www.netlify.com) - Continuous deployement and hosting of this documentation
* [Hugo](https://gohugo.io/)
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/shortcodes/mermaid.fr.md
=====================================================
---
title : "Mermaid"
description : "Génération de diagrammes à partir de texte, dans le même style que Markdown"
---
[Mermaid](https://mermaidjs.github.io/) est une bibliothèque Javascript qui permet de générer des diagrammes (séquence, état, gantt, etc.) à partir de texte, dans le même style que Markdown.
Insérer votre code Mermaid dans un shortcode `mermaid` et c'est tout.
## Flowchart example
{{</*mermaid align="left"*/>}}
graph LR;
A[Bords droits] -->|Lien texte| B(Bords arondis)
B --> C{Décision}
C -->|Un| D[Résultat un]
C -->|Deux| E[Résultat deux]
{{</* /mermaid */>}}
renders as
{{<mermaid align="left">}}
graph LR;
A[Bords droits] -->|Lien texte| B(Bords arondis)
B --> C{Décision}
C -->|Un| D[Résultat un]
C -->|Deux| E[Résultat deux]
{{< /mermaid >}}
## Sequence example
{{</*mermaid*/>}}
sequenceDiagram
participant Alice
participant Bob
Alice->>John: Salut John, comment vas-tu?
loop Vérification
John->John: Se bat contre l'hyponcodrie.
end
Note right of John: Les pensées rationnelles<br/>prédominent...
John-->Alice: Super!
John->Bob: Et toi?
Bob-->John: Au top!
{{</* /mermaid */>}}
renders as
{{<mermaid>}}
sequenceDiagram
participant Alice
participant Bob
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/shortcodes/attachments.fr.files/small_file.txt
=====================================================
Ce fichier a été téléchargé à partir du Hugo Learn Theme.
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/shortcodes/notice.en.md
=====================================================
---
title: Notice
description : "Disclaimers to help you structure your page"
---
The notice shortcode shows 4 types of disclaimers to help you structure your page.
### Note
```
{{%/* notice note */%}}
A notice disclaimer
{{%/* /notice */%}}
```
renders as
{{% notice note %}}
A notice disclaimer
{{% /notice %}}
### Info
```
{{%/* notice info */%}}
An information disclaimer
{{%/* /notice */%}}
```
renders as
{{% notice info %}}
An information disclaimer
{{% /notice %}}
### Tip
```
{{%/* notice tip */%}}
A tip disclaimer
{{%/* /notice */%}}
```
renders as
{{% notice tip %}}
A tip disclaimer
{{% /notice %}}
### Warning
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/shortcodes/attachments.en.md
=====================================================
---
title: Attachments
description : "The Attachments shortcode displays a list of files attached to a page."
---
The Attachments shortcode displays a list of files attached to a page.
{{% attachments /%}}
## Usage
The shortcurt lists files found in a **specific folder**.
Currently, it support two implementations for pages
1. If your page is a markdown file, attachements must be placed in a **folder** named like your page and ending with **.files**.
> * content
> * _index.md
> * page.files
> * attachment.pdf
> * page.md
2. If your page is a **folder**, attachements must be placed in a nested **'files'** folder.
> * content
> * _index.md
> * page
> * index.md
> * files
> * attachment.pdf
Be aware that if you use a multilingual website, you will need to have as many folders as languages.
That's all!
### Parameters
| Parameter | Default | Description |
|:--|:--|:--|
| title | "Attachments" | List's title |
| style | "" | Choose between "orange", "grey", "blue" and "green" for nice style |
| pattern | ".*" | A regular expression, used to filter the attachments by file name. The **pattern** parameter value must be a [regular expression](https://en.wikipedia.org/wiki/Regular_expression). |
For example:
* To match a file suffix of '.jpg', use `.*\.jpg$` (not `*.jpg`).
* To match file names ending in '.jpg' or '.png', use `.*\.(jpg|png)$`.
### Examples
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/shortcodes/children/_index.en.md
=====================================================
---
title : Children
description : List the child pages of a page
---
Use the children shortcode to list the child pages of a page and the further descendants (children's children). By default, the shortcode displays links to the child pages.
## Usage
| Parameter | Default | Description |
|:--|:--|:--|
| page | _current_ | Specify the page name (section name) to display children for |
| style | "li" | Choose the style used to display descendants. It could be any HTML tag name |
| showhidden | "false" | When true, child pages hidden from the menu will be displayed |
| description | "false" | Allows you to include a short text under each page in the list. When no description exists for the page, children shortcode takes the first 70 words of your content. [Read more info about summaries on gohugo.io](https://gohugo.io/content/summaries/) |
| depth | 1 | Enter a number to specify the depth of descendants to display. For example, if the value is 2, the shortcode will display 2 levels of child pages. **Tips:** set 999 to get all descendants |
| sort | none | Sort children by **Weight** - to sort on menu order, **Name** - to sort alphabetically on menu label, **Identifier** - to sort alphabetically on identifier set in frontmatter, and **URL** - to sort by URL |
## Demo
{{%/* children */%}}
{{% children %}}
{{%/* children description="true" */%}}
{{%children description="true" %}}
{{%/* children depth="3" showhidden="true" */%}}
{{% children depth="3" showhidden="true" %}}
{{%/* children style="h2" depth="3" description="true" */%}}
{{% children style="h2" depth="3" description="true" %}}
{{%/* children style="div" depth="999" */%}}
{{% children style="div" depth="999" %}}
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/shortcodes/attachments.en.files/small_file.txt
=====================================================
This file was downloaded from Hugo Learn Theme.
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/shortcodes/attachments.fr.md
=====================================================
---
title: Attachments (Pièces jointes)
description : "The Attachments shortcode displays a list of files attached to a page."
---
Le shortcode *Attachments* affiche une liste de pièces jointes d'une page.
{{% attachments /%}}
## Utilisation
Le shortcode affiche la liste de fichiers trouvés dans un **dossier spécifique**
A l'heure actuelle, il supporte deux implémentations
1. Si votre page est un fichier Markdown, les pièces jointes doivent être placée dans un **dossier** nommé comme le nom de la page et suffixé par **.files**.
> * content
> * _index.md
> * page.files
> * attachment.pdf
> * page.md
2. Si votre page est un **dossier**, les pièces jointes doivent être placées dans un dossier fils **'files'**.
> * content
> * _index.md
> * page
> * index.md
> * files
> * attachment.pdf
Attention, si votre site est multi-langue, vous devrez avec autant de dossier qu'il y a de langues.
C'est tout !
### Paramètres
| Paramètre | Défaut | Description |
|:--|:--|:--|
| title | "Pièces jointes" | Titre de la liste |
| style | "" | Choisir entre "orange", "grey", "blue" et "green" pour un style plus sympa |
| pattern | ".*" | Une expression régulière, utilisée pour filtrer les pièces jointes par leur nom de fichier. Le paramètre **pattern** doit être une [expression régulière](https://en.wikipedia.org/wiki/Regular_expression). |
Par exemple:
* Pour trouver les fichiers avec le suffixe '.jpg', utilisez `.*\.jpg$` (pas `*.jpg`).
* Pour trouver les fichiers avec les suffixe '.jpg' ou '.png', utilisez `.*\.(jpg|png)$`.
### Exemples
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/shortcodes/tabs.en.md
=====================================================
---
title: Tabbed views
description : "Synchronize selection of content in different tabbed views"
---
Choose which content to see across the page. Very handy for providing code
snippets for multiple languages or providing configuration in different formats.
## Code example
{{</* tabs */>}}
{{%/* tab name="python" */%}}
```python
print("Hello World!")
```
{{%/* /tab */%}}
{{%/* tab name="R" */%}}
```R
> print("Hello World!")
```
{{%/* /tab */%}}
{{%/* tab name="Bash" */%}}
```Bash
echo "Hello World!"
```
{{%/* /tab */%}}
{{</* /tabs */>}}
Renders as:
{{< tabs >}}
{{% tab name="python" %}}
```python
print("Hello World!")
```
{{% /tab %}}
{{% tab name="R" %}}
```R
> print("Hello World!")
```
{{% /tab %}}
{{% tab name="Bash" %}}
```Bash
echo "Hello World!"
```
{{% /tab %}}
{{< /tabs >}}
Tab views with the same tabs that belong to the same group sychronize their selection:
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/shortcodes/mermaid.en.md
=====================================================
---
title : "Mermaid"
description : "Generation of diagram and flowchart from text in a similar manner as markdown"
---
[Mermaid](https://mermaidjs.github.io/) is a library helping you to generate diagram and flowcharts from text, in a similar manner as Markdown.
Just insert your mermaid code in the `mermaid` shortcode and that's it.
## Flowchart example
{{</*mermaid align="left"*/>}}
graph LR;
A[Hard edge] -->|Link text| B(Round edge)
B --> C{Decision}
C -->|One| D[Result one]
C -->|Two| E[Result two]
{{</* /mermaid */>}}
renders as
{{<mermaid align="left">}}
graph LR;
A[Hard edge] -->|Link text| B(Round edge)
B --> C{Decision}
C -->|One| D[Result one]
C -->|Two| E[Result two]
{{</mermaid>}}
## Sequence example
{{</* mermaid */>}}
sequenceDiagram
participant Alice
participant Bob
Alice->>John: Hello John, how are you?
loop Healthcheck
John->John: Fight against hypochondria
end
Note right of John: Rational thoughts <br/>prevail...
John-->Alice: Great!
John->Bob: How about you?
Bob-->John: Jolly good!
{{</* /mermaid */>}}
renders as
{{<mermaid>}}
sequenceDiagram
participant Alice
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/shortcodes/button.fr.md
=====================================================
---
title: Button (Bouton)
description : "De beaux boutons sur votre page."
---
Le shortcode *button* est simplement un bouton cliquable avec une icône optionnelle.
```
{{%/* button href="https://getgrav.org/" */%}}Téléchargez Grav{{%/* /button */%}}
{{%/* button href="https://getgrav.org/" icon="fas fa-download" */%}}Téléchargez Grav avec icône{{%/* /button */%}}
{{%/* button href="https://getgrav.org/" icon="fas fa-download" icon-position="right" */%}}Téléchargez Grav avec icône à droite{{%/* /button */%}}
```
{{% button href="https://getgrav.org/" %}}Téléchargez Grav{{% /button %}}
{{% button href="https://getgrav.org/" icon="fas fa-download" %}}Téléchargez Grav avec icône{{% /button %}}
{{% button href="https://getgrav.org/" icon="fas fa-download" icon-position="right" %}}Téléchargez Grav avec icône à droite{{% /button %}}
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/shortcodes/button.en.md
=====================================================
---
title: Button
description : "Nice buttons on your page."
---
A button is a just a clickable button with optional icon.
```
{{%/* button href="https://getgrav.org/" */%}}Get Grav{{%/* /button */%}}
{{%/* button href="https://getgrav.org/" icon="fas fa-download" */%}}Get Grav with icon{{%/* /button */%}}
{{%/* button href="https://getgrav.org/" icon="fas fa-download" icon-position="right" */%}}Get Grav with icon right{{%/* /button */%}}
```
{{% button href="https://getgrav.org/" %}}Get Grav{{% /button %}}
{{% button href="https://getgrav.org/" icon="fas fa-download" %}}Get Grav with icon{{% /button %}}
{{% button href="https://getgrav.org/" icon="fas fa-download" icon-position="right" %}}Get Grav with icon right{{% /button %}}
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/content/showcase.en.md
=====================================================
---
title: Showcase
disableToc: true
---
#### [TAT](https://ovh.github.io/tat/overview/) by OVH
#### [Tshark.dev](https://tshark.dev) by Ross Jacobs
#### [inteliver](https://docs.inteliver.com) by Amir Lavasani
=====================================================
== File: docs/document/themes/hugo-theme-learn/exampleSite/config.toml
=====================================================
baseURL = "/"
languageCode = "en-US"
defaultContentLanguage = "en"
title = "Hugo Learn Documentation"
theme = "hugo-theme-learn"
themesdir = "../.."
metaDataFormat = "yaml"
defaultContentLanguageInSubdir= true
[params]
editURL = "https://github.com/matcornic/hugo-theme-learn/edit/master/exampleSite/content/"
description = "Documentation for Hugo Learn Theme"
author = "Mathieu Cornic"
showVisitedLinks = true
disableBreadcrumb = false
disableNextPrev = false
disableLandingPageButton = true
disableMermaid = false
customMermaidURL = "https://unpkg.com/mermaid@8.8.0/dist/mermaid.min.js"
titleSeparator = "::"
[outputs]
home = [ "HTML", "RSS", "JSON"]
[Languages]
[Languages.en]
title = "Documentation for Hugo Learn Theme"
weight = 1
languageName = "English"
landingPageURL = "/en"
landingPageName = "<i class='fas fa-home'></i> Home"
[[Languages.en.menu.shortcuts]]
name = "<i class='fab fa-fw fa-github'></i> GitHub repo"
identifier = "ds"
url = "https://github.com/matcornic/hugo-theme-learn"
weight = 10
[[Languages.en.menu.shortcuts]]
name = "<i class='fas fa-fw fa-camera'></i> Showcases"
url = "showcase"
weight = 11
[[Languages.en.menu.shortcuts]]
name = "<i class='fas fa-fw fa-bookmark'></i> Hugo Documentation"
identifier = "hugodoc"
url = "https://gohugo.io/"
weight = 20
=====================================================
== File: docs/document/themes/hugo-theme-learn/README.md
=====================================================
# Hugo Learn Theme
This repository contains a theme for [Hugo](https://gohugo.io/), based on great [Grav Learn Theme](https://learn.getgrav.org/).
Visit the [theme documentation](https://learn.netlify.com/en/) to see what is going on. It is actually built with this theme.
[](https://app.wercker.com/project/byKey/233466a2be73fcea400e7dc02ef6adf9)
[](https://app.fossa.io/projects/git%2Bgithub.com%2Fmatcornic%2Fhugo-theme-learn?ref=badge_shield)
## Main features
- Automatic Search
- Multilingual mode
- Unlimited menu levels
- Automatic next/prev buttons to navigate through menu entries
- Image resizing, shadow…
- Attachments files
- List child pages
- Mermaid diagram (flowchart, sequence, gantt)
- Customizable look and feel and themes variants
- Buttons, Tip/Note/Info/Warning boxes, Expand
## Installation
Navigate to your themes folder in your Hugo site and use the following commands:
```shell
cd themes/
git clone https://github.com/matcornic/hugo-theme-learn.git
```
Check that your Hugo version is minimum `0.25` with `hugo version`.
## Usage
- [Visit the documentation](https://learn.netlify.com/en/)
## Download old versions (prior to 2.0.0)
If you need old version for compatibility purpose, either download [theme source code from releases](https://github.com/matcornic/hugo-theme-learn/releases) or use the right git tag. For example, with `1.1.0`
- Direct download way: https://github.com/matcornic/hugo-theme-learn/archive/1.1.0.zip
- Git way:
```shell
cd themes/hugo-theme-learn
git checkout tags/1.1.0
```
=====================================================
== File: docs/document/themes/hugo-theme-learn/static/webfonts/fa-regular-400.svg
=====================================================
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=====================================================
== File: docs/document/themes/hugo-theme-learn/static/webfonts/fa-solid-900.svg
=====================================================
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== File: docs/document/themes/hugo-theme-learn/static/webfonts/fa-brands-400.svg
=====================================================
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== File: docs/document/themes/hugo-theme-learn/static/js/highlight.pack.js
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=====================================================
== File: docs/document/themes/hugo-theme-learn/static/js/hugo-learn.js
=====================================================
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=====================================================
== File: docs/document/themes/hugo-theme-learn/static/js/learn.js
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=====================================================
== File: docs/document/themes/hugo-theme-learn/static/js/search.js
=====================================================
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=====================================================
== File: docs/document/themes/hugo-theme-learn/static/js/jquery-3.3.1.min.js
=====================================================
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== File: docs/document/themes/hugo-theme-learn/static/js/lunr.min.js
=====================================================
/**
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* Copyright (C) 2018 Oliver Nightingale
* @license MIT
*/
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this.minimizedNodes?r.parent.edges[r.char]=this.minimizedNodes[i]:(r.child._str=i,this.minimizedNodes[i]=r.child),this.uncheckedNodes.pop()}},z.Index=function(e){this.invertedIndex=e.invertedIndex,this.fieldVectors=e.fieldVectors,this.tokenSet=e.tokenSet,this.fields=e.fields,this.pipeline=e.pipeline},z.Index.prototype.search=function(t){return this.query(function(e){new z.QueryParser(t,e).parse()})},z.Index.prototype.query=function(e){for(var t=new z.Query(this.fields),r=Object.create(null),i=Object.create(null),n=Object.create(null),s=Object.create(null),o=Object.create(null),a=0;a<this.fields.length;a++)i[this.fields[a]]=new z.Vector;e.call(t,t);for(a=0;a<t.clauses.length;a++){var u=t.clauses[a],l=null,c=z.Set.complete;l=u.usePipeline?this.pipeline.runString(u.term,{fields:u.fields}):[u.term];for(var h=0;h<l.length;h++){var d=l[h];u.term=d;var f=z.TokenSet.fromClause(u),p=this.tokenSet.intersect(f).toArray();if(0===p.length&&u.presence===z.Query.presence.REQUIRED){for(var y=0;y<u.fields.length;y++){s[R=u.fields[y]]=z.Set.empty}break}for(var m=0;m<p.length;m++){var g=p[m],x=this.invertedIndex[g],v=x._index;for(y=0;y<u.fields.length;y++){var w=x[R=u.fields[y]],Q=Object.keys(w),k=g+"/"+R,S=new z.Set(Q);if(u.presence==z.Query.presence.REQUIRED&&(c=c.union(S),void 0===s[R]&&(s[R]=z.Set.complete)),u.presence!=z.Query.presence.PROHIBITED){if(i[R].upsert(v,u.boost,function(e,t){return e+t}),!n[k]){for(var E=0;E<Q.length;E++){var L,b=Q[E],P=new z.FieldRef(b,R),T=w[b];void 0===(L=r[P])?r[P]=new z.MatchData(g,R,T):L.add(g,R,T)}n[k]=!0}}else void 0===o[R]&&(o[R]=z.Set.empty),o[R]=o[R].union(S)}}}if(u.presence===z.Query.presence.REQUIRED)for(y=0;y<u.fields.length;y++){s[R=u.fields[y]]=s[R].intersect(c)}}var O=z.Set.complete,I=z.Set.empty;for(a=0;a<this.fields.length;a++){var R;s[R=this.fields[a]]&&(O=O.intersect(s[R])),o[R]&&(I=I.union(o[R]))}var F=Object.keys(r),C=[],N=Object.create(null);if(t.isNegated()){F=Object.keys(this.fieldVectors);for(a=0;a<F.length;a++){P=F[a];var j=z.FieldRef.fromString(P);r[P]=new z.MatchData}}for(a=0;a<F.length;a++){var _=(j=z.FieldRef.fromString(F[a])).docRef;if(O.contains(_)&&!I.contains(_)){var D,A=this.fieldVectors[j],B=i[j.fieldName].similarity(A);if(void 0!==(D=N[_]))D.score+=B,D.matchData.combine(r[j]);else{var V={ref:_,score:B,matchData:r[j]};N[_]=V,C.push(V)}}}return C.sort(function(e,t){return t.score-e.score})},z.Index.prototype.toJSON=function(){var e=Object.keys(this.invertedIndex).sort().map(function(e){return[e,this.invertedIndex[e]]},this),t=Object.keys(this.fieldVectors).map(function(e){return[e,this.fieldVectors[e].toJSON()]},this);return{version:z.version,fields:this.fields,fieldVectors:t,invertedIndex:e,pipeline:this.pipeline.toJSON()}},z.Index.load=function(e){var t={},r={},i=e.fieldVectors,n=Object.create(null),s=e.invertedIndex,o=new z.TokenSet.Builder,a=z.Pipeline.load(e.pipeline);e.version!=z.version&&z.utils.warn("Version mismatch when loading serialised index. Current version of lunr '"+z.version+"' does not match serialized index '"+e.version+"'");for(var u=0;u<i.length;u++){var l=(h=i[u])[0],c=h[1];r[l]=new z.Vector(c)}for(u=0;u<s.length;u++){var h,d=(h=s[u])[0],f=h[1];o.insert(d),n[d]=f}return o.finish(),t.fields=e.fields,t.fieldVectors=r,t.invertedIndex=n,t.tokenSet=o.root,t.pipeline=a,new z.Index(t)},z.Builder=function(){this._ref="id",this._fields=Object.create(null),this._documents=Object.create(null),this.invertedIndex=Object.create(null),this.fieldTermFrequencies={},this.fieldLengths={},this.tokenizer=z.tokenizer,this.pipeline=new z.Pipeline,this.searchPipeline=new z.Pipeline,this.documentCount=0,this._b=.75,this._k1=1.2,this.termIndex=0,this.metadataWhitelist=[]},z.Builder.prototype.ref=function(e){this._ref=e},z.Builder.prototype.field=function(e,t){if(/\//.test(e))throw new RangeError("Field '"+e+"' contains illegal character '/'");this._fields[e]=t||{}},z.Builder.prototype.b=function(e){this._b=e<0?0:1<e?1:e},z.Builder.prototype.k1=function(e){this._k1=e},z.Builder.prototype.add=function(e,t){var r=e[this._ref],i=Object.keys(this._fields);this._documents[r]=t||{},this.documentCount+=1;for(var n=0;n<i.length;n++){var s=i[n],o=this._fields[s].extractor,a=o?o(e):e[s],u=this.tokenizer(a,{fields:[s]}),l=this.pipeline.run(u),c=new z.FieldRef(r,s),h=Object.create(null);this.fieldTermFrequencies[c]=h,this.fieldLengths[c]=0,this.fieldLengths[c]+=l.length;for(var d=0;d<l.length;d++){var f=l[d];if(null==h[f]&&(h[f]=0),h[f]+=1,null==this.invertedIndex[f]){var p=Object.create(null);p._index=this.termIndex,this.termIndex+=1;for(var y=0;y<i.length;y++)p[i[y]]=Object.create(null);this.invertedIndex[f]=p}null==this.invertedIndex[f][s][r]&&(this.invertedIndex[f][s][r]=Object.create(null));for(var m=0;m<this.metadataWhitelist.length;m++){var g=this.metadataWhitelist[m],x=f.metadata[g];null==this.invertedIndex[f][s][r][g]&&(this.invertedIndex[f][s][r][g]=[]),this.invertedIndex[f][s][r][g].push(x)}}}},z.Builder.prototype.calculateAverageFieldLengths=function(){for(var e=Object.keys(this.fieldLengths),t=e.length,r={},i={},n=0;n<t;n++){var s=z.FieldRef.fromString(e[n]),o=s.fieldName;i[o]||(i[o]=0),i[o]+=1,r[o]||(r[o]=0),r[o]+=this.fieldLengths[s]}var a=Object.keys(this._fields);for(n=0;n<a.length;n++){var u=a[n];r[u]=r[u]/i[u]}this.averageFieldLength=r},z.Builder.prototype.createFieldVectors=function(){for(var e={},t=Object.keys(this.fieldTermFrequencies),r=t.length,i=Object.create(null),n=0;n<r;n++){for(var s=z.FieldRef.fromString(t[n]),o=s.fieldName,a=this.fieldLengths[s],u=new z.Vector,l=this.fieldTermFrequencies[s],c=Object.keys(l),h=c.length,d=this._fields[o].boost||1,f=this._documents[s.docRef].boost||1,p=0;p<h;p++){var y,m,g,x=c[p],v=l[x],w=this.invertedIndex[x]._index;void 0===i[x]?(y=z.idf(this.invertedIndex[x],this.documentCount),i[x]=y):y=i[x],m=y*((this._k1+1)*v)/(this._k1*(1-this._b+this._b*(a/this.averageFieldLength[o]))+v),m*=d,m*=f,g=Math.round(1e3*m)/1e3,u.insert(w,g)}e[s]=u}this.fieldVectors=e},z.Builder.prototype.createTokenSet=function(){this.tokenSet=z.TokenSet.fromArray(Object.keys(this.invertedIndex).sort())},z.Builder.prototype.build=function(){return this.calculateAverageFieldLengths(),this.createFieldVectors(),this.createTokenSet(),new z.Index({invertedIndex:this.invertedIndex,fieldVectors:this.fieldVectors,tokenSet:this.tokenSet,fields:Object.keys(this._fields),pipeline:this.searchPipeline})},z.Builder.prototype.use=function(e){var t=Array.prototype.slice.call(arguments,1);t.unshift(this),e.apply(this,t)},z.MatchData=function(e,t,r){for(var i=Object.create(null),n=Object.keys(r||{}),s=0;s<n.length;s++){var o=n[s];i[o]=r[o].slice()}this.metadata=Object.create(null),void 0!==e&&(this.metadata[e]=Object.create(null),this.metadata[e][t]=i)},z.MatchData.prototype.combine=function(e){for(var t=Object.keys(e.metadata),r=0;r<t.length;r++){var i=t[r],n=Object.keys(e.metadata[i]);null==this.metadata[i]&&(this.metadata[i]=Object.create(null));for(var s=0;s<n.length;s++){var o=n[s],a=Object.keys(e.metadata[i][o]);null==this.metadata[i][o]&&(this.metadata[i][o]=Object.create(null));for(var u=0;u<a.length;u++){var l=a[u];null==this.metadata[i][o][l]?this.metadata[i][o][l]=e.metadata[i][o][l]:this.metadata[i][o][l]=this.metadata[i][o][l].concat(e.metadata[i][o][l])}}}},z.MatchData.prototype.add=function(e,t,r){if(!(e in this.metadata))return this.metadata[e]=Object.create(null),void(this.metadata[e][t]=r);if(t in this.metadata[e])for(var i=Object.keys(r),n=0;n<i.length;n++){var s=i[n];s in this.metadata[e][t]?this.metadata[e][t][s]=this.metadata[e][t][s].concat(r[s]):this.metadata[e][t][s]=r[s]}else this.metadata[e][t]=r},z.Query=function(e){this.clauses=[],this.allFields=e},z.Query.wildcard=new String("*"),z.Query.wildcard.NONE=0,z.Query.wildcard.LEADING=1,z.Query.wildcard.TRAILING=2,z.Query.presence={OPTIONAL:1,REQUIRED:2,PROHIBITED:3},z.Query.prototype.clause=function(e){return"fields"in e||(e.fields=this.allFields),"boost"in e||(e.boost=1),"usePipeline"in e||(e.usePipeline=!0),"wildcard"in e||(e.wildcard=z.Query.wildcard.NONE),e.wildcard&z.Query.wildcard.LEADING&&e.term.charAt(0)!=z.Query.wildcard&&(e.term="*"+e.term),e.wildcard&z.Query.wildcard.TRAILING&&e.term.slice(-1)!=z.Query.wildcard&&(e.term=e.term+"*"),"presence"in e||(e.presence=z.Query.presence.OPTIONAL),this.clauses.push(e),this},z.Query.prototype.isNegated=function(){for(var e=0;e<this.clauses.length;e++)if(this.clauses[e].presence!=z.Query.presence.PROHIBITED)return!1;return!0},z.Query.prototype.term=function(e,t){if(Array.isArray(e))return e.forEach(function(e){this.term(e,z.utils.clone(t))},this),this;var r=t||{};return r.term=e.toString(),this.clause(r),this},z.QueryParseError=function(e,t,r){this.name="QueryParseError",this.message=e,this.start=t,this.end=r},z.QueryParseError.prototype=new Error,z.QueryLexer=function(e){this.lexemes=[],this.str=e,this.length=e.length,this.pos=0,this.start=0,this.escapeCharPositions=[]},z.QueryLexer.prototype.run=function(){for(var e=z.QueryLexer.lexText;e;)e=e(this)},z.QueryLexer.prototype.sliceString=function(){for(var e=[],t=this.start,r=this.pos,i=0;i<this.escapeCharPositions.length;i++)r=this.escapeCharPositions[i],e.push(this.str.slice(t,r)),t=r+1;return e.push(this.str.slice(t,this.pos)),this.escapeCharPositions.length=0,e.join("")},z.QueryLexer.prototype.emit=function(e){this.lexemes.push({type:e,str:this.sliceString(),start:this.start,end:this.pos}),this.start=this.pos},z.QueryLexer.prototype.escapeCharacter=function(){this.escapeCharPositions.push(this.pos-1),this.pos+=1},z.QueryLexer.prototype.next=function(){if(this.pos>=this.length)return z.QueryLexer.EOS;var e=this.str.charAt(this.pos);return this.pos+=1,e},z.QueryLexer.prototype.width=function(){return this.pos-this.start},z.QueryLexer.prototype.ignore=function(){this.start==this.pos&&(this.pos+=1),this.start=this.pos},z.QueryLexer.prototype.backup=function(){this.pos-=1},z.QueryLexer.prototype.acceptDigitRun=function(){for(var e,t;47<(t=(e=this.next()).charCodeAt(0))&&t<58;);e!=z.QueryLexer.EOS&&this.backup()},z.QueryLexer.prototype.more=function(){return this.pos<this.length},z.QueryLexer.EOS="EOS",z.QueryLexer.FIELD="FIELD",z.QueryLexer.TERM="TERM",z.QueryLexer.EDIT_DISTANCE="EDIT_DISTANCE",z.QueryLexer.BOOST="BOOST",z.QueryLexer.PRESENCE="PRESENCE",z.QueryLexer.lexField=function(e){return e.backup(),e.emit(z.QueryLexer.FIELD),e.ignore(),z.QueryLexer.lexText},z.QueryLexer.lexTerm=function(e){if(1<e.width()&&(e.backup(),e.emit(z.QueryLexer.TERM)),e.ignore(),e.more())return z.QueryLexer.lexText},z.QueryLexer.lexEditDistance=function(e){return e.ignore(),e.acceptDigitRun(),e.emit(z.QueryLexer.EDIT_DISTANCE),z.QueryLexer.lexText},z.QueryLexer.lexBoost=function(e){return e.ignore(),e.acceptDigitRun(),e.emit(z.QueryLexer.BOOST),z.QueryLexer.lexText},z.QueryLexer.lexEOS=function(e){0<e.width()&&e.emit(z.QueryLexer.TERM)},z.QueryLexer.termSeparator=z.tokenizer.separator,z.QueryLexer.lexText=function(e){for(;;){var t=e.next();if(t==z.QueryLexer.EOS)return z.QueryLexer.lexEOS;if(92!=t.charCodeAt(0)){if(":"==t)return z.QueryLexer.lexField;if("~"==t)return e.backup(),0<e.width()&&e.emit(z.QueryLexer.TERM),z.QueryLexer.lexEditDistance;if("^"==t)return e.backup(),0<e.width()&&e.emit(z.QueryLexer.TERM),z.QueryLexer.lexBoost;if("+"==t&&1===e.width())return e.emit(z.QueryLexer.PRESENCE),z.QueryLexer.lexText;if("-"==t&&1===e.width())return e.emit(z.QueryLexer.PRESENCE),z.QueryLexer.lexText;if(t.match(z.QueryLexer.termSeparator))return z.QueryLexer.lexTerm}else e.escapeCharacter()}},z.QueryParser=function(e,t){this.lexer=new z.QueryLexer(e),this.query=t,this.currentClause={},this.lexemeIdx=0},z.QueryParser.prototype.parse=function(){this.lexer.run(),this.lexemes=this.lexer.lexemes;for(var e=z.QueryParser.parseClause;e;)e=e(this);return this.query},z.QueryParser.prototype.peekLexeme=function(){return this.lexemes[this.lexemeIdx]},z.QueryParser.prototype.consumeLexeme=function(){var e=this.peekLexeme();return this.lexemeIdx+=1,e},z.QueryParser.prototype.nextClause=function(){var e=this.currentClause;this.query.clause(e),this.currentClause={}},z.QueryParser.parseClause=function(e){var t=e.peekLexeme();if(null!=t)switch(t.type){case z.QueryLexer.PRESENCE:return z.QueryParser.parsePresence;case z.QueryLexer.FIELD:return z.QueryParser.parseField;case z.QueryLexer.TERM:return z.QueryParser.parseTerm;default:var r="expected either a field or a term, found "+t.type;throw 1<=t.str.length&&(r+=" with value '"+t.str+"'"),new z.QueryParseError(r,t.start,t.end)}},z.QueryParser.parsePresence=function(e){var t=e.consumeLexeme();if(null!=t){switch(t.str){case"-":e.currentClause.presence=z.Query.presence.PROHIBITED;break;case"+":e.currentClause.presence=z.Query.presence.REQUIRED;break;default:var r="unrecognised presence operator'"+t.str+"'";throw new z.QueryParseError(r,t.start,t.end)}var i=e.peekLexeme();if(null==i){r="expecting term or field, found nothing";throw new z.QueryParseError(r,t.start,t.end)}switch(i.type){case z.QueryLexer.FIELD:return z.QueryParser.parseField;case z.QueryLexer.TERM:return z.QueryParser.parseTerm;default:r="expecting term or field, found '"+i.type+"'";throw new z.QueryParseError(r,i.start,i.end)}}},z.QueryParser.parseField=function(e){var t=e.consumeLexeme();if(null!=t){if(-1==e.query.allFields.indexOf(t.str)){var r=e.query.allFields.map(function(e){return"'"+e+"'"}).join(", "),i="unrecognised field '"+t.str+"', possible fields: "+r;throw new z.QueryParseError(i,t.start,t.end)}e.currentClause.fields=[t.str];var n=e.peekLexeme();if(null==n){i="expecting term, found nothing";throw new z.QueryParseError(i,t.start,t.end)}switch(n.type){case z.QueryLexer.TERM:return z.QueryParser.parseTerm;default:i="expecting term, found '"+n.type+"'";throw new z.QueryParseError(i,n.start,n.end)}}},z.QueryParser.parseTerm=function(e){var t=e.consumeLexeme();if(null!=t){e.currentClause.term=t.str.toLowerCase(),-1!=t.str.indexOf("*")&&(e.currentClause.usePipeline=!1);var r=e.peekLexeme();if(null!=r)switch(r.type){case z.QueryLexer.TERM:return e.nextClause(),z.QueryParser.parseTerm;case z.QueryLexer.FIELD:return e.nextClause(),z.QueryParser.parseField;case z.QueryLexer.EDIT_DISTANCE:return z.QueryParser.parseEditDistance;case z.QueryLexer.BOOST:return z.QueryParser.parseBoost;case z.QueryLexer.PRESENCE:return e.nextClause(),z.QueryParser.parsePresence;default:var i="Unexpected lexeme type '"+r.type+"'";throw new z.QueryParseError(i,r.start,r.end)}else e.nextClause()}},z.QueryParser.parseEditDistance=function(e){var t=e.consumeLexeme();if(null!=t){var r=parseInt(t.str,10);if(isNaN(r)){var i="edit distance must be numeric";throw new z.QueryParseError(i,t.start,t.end)}e.currentClause.editDistance=r;var n=e.peekLexeme();if(null!=n)switch(n.type){case z.QueryLexer.TERM:return e.nextClause(),z.QueryParser.parseTerm;case z.QueryLexer.FIELD:return e.nextClause(),z.QueryParser.parseField;case z.QueryLexer.EDIT_DISTANCE:return z.QueryParser.parseEditDistance;case z.QueryLexer.BOOST:return z.QueryParser.parseBoost;case z.QueryLexer.PRESENCE:return e.nextClause(),z.QueryParser.parsePresence;default:i="Unexpected lexeme type '"+n.type+"'";throw new z.QueryParseError(i,n.start,n.end)}else e.nextClause()}},z.QueryParser.parseBoost=function(e){var t=e.consumeLexeme();if(null!=t){var r=parseInt(t.str,10);if(isNaN(r)){var i="boost must be numeric";throw new z.QueryParseError(i,t.start,t.end)}e.currentClause.boost=r;var n=e.peekLexeme();if(null!=n)switch(n.type){case z.QueryLexer.TERM:return e.nextClause(),z.QueryParser.parseTerm;case z.QueryLexer.FIELD:return e.nextClause(),z.QueryParser.parseField;case z.QueryLexer.EDIT_DISTANCE:return z.QueryParser.parseEditDistance;case z.QueryLexer.BOOST:return z.QueryParser.parseBoost;case z.QueryLexer.PRESENCE:return e.nextClause(),z.QueryParser.parsePresence;default:i="Unexpected lexeme type '"+n.type+"'";throw new z.QueryParseError(i,n.start,n.end)}else e.nextClause()}},n=this,s=function(){return z},"function"==typeof define&&define.amd?define(s):"object"==typeof exports?module.exports=s():n.lunr=s()}();
=====================================================
== File: docs/document/themes/hugo-theme-learn/static/js/auto-complete.js
=====================================================
// JavaScript autoComplete v1.0.4
// https://github.com/Pixabay/JavaScript-autoComplete
var autoComplete=function(){function e(e){function t(e,t){return e.classList?e.classList.contains(t):new RegExp("\\b"+t+"\\b").test(e.className)}function o(e,t,o){e.attachEvent?e.attachEvent("on"+t,o):e.addEventListener(t,o)}function s(e,t,o){e.detachEvent?e.detachEvent("on"+t,o):e.removeEventListener(t,o)}function n(e,s,n,l){o(l||document,s,function(o){for(var s,l=o.target||o.srcElement;l&&!(s=t(l,e));)l=l.parentElement;s&&n.call(l,o)})}if(document.querySelector){var l={selector:0,source:0,minChars:3,delay:150,offsetLeft:0,offsetTop:1,cache:1,menuClass:"",renderItem:function(e,t){t=t.replace(/[-\/\\^$*+?.()|[\]{}]/g,"\\$&");var o=new RegExp("("+t.split(" ").join("|")+")","gi");return'<div class="autocomplete-suggestion" data-val="'+e+'">'+e.replace(o,"<b>$1</b>")+"</div>"},onSelect:function(){}};for(var c in e)e.hasOwnProperty(c)&&(l[c]=e[c]);for(var a="object"==typeof l.selector?[l.selector]:document.querySelectorAll(l.selector),u=0;u<a.length;u++){var 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s=i.sc.scrollTop,n=t.getBoundingClientRect().top-i.sc.getBoundingClientRect().top;n+i.sc.suggestionHeight-i.sc.maxHeight>0?i.sc.scrollTop=n+i.sc.suggestionHeight+s-i.sc.maxHeight:0>n&&(i.sc.scrollTop=n+s)}else i.sc.scrollTop=0},o(window,"resize",i.updateSC),document.body.appendChild(i.sc),n("autocomplete-suggestion","mouseleave",function(){var e=i.sc.querySelector(".autocomplete-suggestion.selected");e&&setTimeout(function(){e.className=e.className.replace("selected","")},20)},i.sc),n("autocomplete-suggestion","mouseover",function(){var e=i.sc.querySelector(".autocomplete-suggestion.selected");e&&(e.className=e.className.replace("selected","")),this.className+=" selected"},i.sc),n("autocomplete-suggestion","mousedown",function(e){if(t(this,"autocomplete-suggestion")){var o=this.getAttribute("data-val");i.value=o,l.onSelect(e,o,this),i.sc.style.display="none"}},i.sc),i.blurHandler=function(){try{var e=document.querySelector(".autocomplete-suggestions:hover")}catch(t){var e=0}e?i!==document.activeElement&&setTimeout(function(){i.focus()},20):(i.last_val=i.value,i.sc.style.display="none",setTimeout(function(){i.sc.style.display="none"},350))},o(i,"blur",i.blurHandler);var r=function(e){var t=i.value;if(i.cache[t]=e,e.length&&t.length>=l.minChars){for(var o="",s=0;s<e.length;s++)o+=l.renderItem(e[s],t);i.sc.innerHTML=o,i.updateSC(0)}else i.sc.style.display="none"};i.keydownHandler=function(e){var t=window.event?e.keyCode:e.which;if((40==t||38==t)&&i.sc.innerHTML){var o,s=i.sc.querySelector(".autocomplete-suggestion.selected");return s?(o=40==t?s.nextSibling:s.previousSibling,o?(s.className=s.className.replace("selected",""),o.className+=" selected",i.value=o.getAttribute("data-val")):(s.className=s.className.replace("selected",""),i.value=i.last_val,o=0)):(o=40==t?i.sc.querySelector(".autocomplete-suggestion"):i.sc.childNodes[i.sc.childNodes.length-1],o.className+=" selected",i.value=o.getAttribute("data-val")),i.updateSC(0,o),!1}if(27==t)i.value=i.last_val,i.sc.style.display="none";else if(13==t||9==t){var s=i.sc.querySelector(".autocomplete-suggestion.selected");s&&"none"!=i.sc.style.display&&(l.onSelect(e,s.getAttribute("data-val"),s),setTimeout(function(){i.sc.style.display="none"},20))}},o(i,"keydown",i.keydownHandler),i.keyupHandler=function(e){var t=window.event?e.keyCode:e.which;if(!t||(35>t||t>40)&&13!=t&&27!=t){var o=i.value;if(o.length>=l.minChars){if(o!=i.last_val){if(i.last_val=o,clearTimeout(i.timer),l.cache){if(o in i.cache)return void r(i.cache[o]);for(var s=1;s<o.length-l.minChars;s++){var n=o.slice(0,o.length-s);if(n in i.cache&&!i.cache[n].length)return void r([])}}i.timer=setTimeout(function(){l.source(o,r)},l.delay)}}else i.last_val=o,i.sc.style.display="none"}},o(i,"keyup",i.keyupHandler),i.focusHandler=function(e){i.last_val="\n",i.keyupHandler(e)},l.minChars||o(i,"focus",i.focusHandler)}this.destroy=function(){for(var e=0;e<a.length;e++){var t=a[e];s(window,"resize",t.updateSC),s(t,"blur",t.blurHandler),s(t,"focus",t.focusHandler),s(t,"keydown",t.keydownHandler),s(t,"keyup",t.keyupHandler),t.autocompleteAttr?t.setAttribute("autocomplete",t.autocompleteAttr):t.removeAttribute("autocomplete"),document.body.removeChild(t.sc),t=null}}}}return e}();!function(){"function"==typeof define&&define.amd?define("autoComplete",function(){return autoComplete}):"undefined"!=typeof module&&module.exports?module.exports=autoComplete:window.autoComplete=autoComplete}();
=====================================================
== File: docs/document/themes/hugo-theme-learn/static/js/perfect-scrollbar.jquery.min.js
=====================================================
/* perfect-scrollbar v0.6.13 */
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=====================================================
== File: docs/document/themes/hugo-theme-learn/static/js/perfect-scrollbar.min.js
=====================================================
/* perfect-scrollbar v0.6.13 */
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e=o.get(t);r(t,e)}},{"../instances":18,"../update-geometry":19,"../update-scroll":20}],11:[function(t,e,n){"use strict";function r(t,e){function n(n){var o=r+n*e.railXRatio,i=Math.max(0,e.scrollbarXRail.getBoundingClientRect().left)+e.railXRatio*(e.railXWidth-e.scrollbarXWidth);o<0?e.scrollbarXLeft=0:o>i?e.scrollbarXLeft=i:e.scrollbarXLeft=o;var s=l.toInt(e.scrollbarXLeft*(e.contentWidth-e.containerWidth)/(e.containerWidth-e.railXRatio*e.scrollbarXWidth))-e.negativeScrollAdjustment;c(t,"left",s)}var r=null,o=null,s=function(e){n(e.pageX-o),a(t),e.stopPropagation(),e.preventDefault()},u=function(){l.stopScrolling(t,"x"),e.event.unbind(e.ownerDocument,"mousemove",s)};e.event.bind(e.scrollbarX,"mousedown",function(n){o=n.pageX,r=l.toInt(i.css(e.scrollbarX,"left"))*e.railXRatio,l.startScrolling(t,"x"),e.event.bind(e.ownerDocument,"mousemove",s),e.event.once(e.ownerDocument,"mouseup",u),n.stopPropagation(),n.preventDefault()})}function o(t,e){function n(n){var o=r+n*e.railYRatio,i=Math.max(0,e.scrollbarYRail.getBoundingClientRect().top)+e.railYRatio*(e.railYHeight-e.scrollbarYHeight);o<0?e.scrollbarYTop=0:o>i?e.scrollbarYTop=i:e.scrollbarYTop=o;var s=l.toInt(e.scrollbarYTop*(e.contentHeight-e.containerHeight)/(e.containerHeight-e.railYRatio*e.scrollbarYHeight));c(t,"top",s)}var r=null,o=null,s=function(e){n(e.pageY-o),a(t),e.stopPropagation(),e.preventDefault()},u=function(){l.stopScrolling(t,"y"),e.event.unbind(e.ownerDocument,"mousemove",s)};e.event.bind(e.scrollbarY,"mousedown",function(n){o=n.pageY,r=l.toInt(i.css(e.scrollbarY,"top"))*e.railYRatio,l.startScrolling(t,"y"),e.event.bind(e.ownerDocument,"mousemove",s),e.event.once(e.ownerDocument,"mouseup",u),n.stopPropagation(),n.preventDefault()})}var l=t("../../lib/helper"),i=t("../../lib/dom"),s=t("../instances"),a=t("../update-geometry"),c=t("../update-scroll");e.exports=function(t){var e=s.get(t);r(t,e),o(t,e)}},{"../../lib/dom":3,"../../lib/helper":6,"../instances":18,"../update-geometry":19,"../update-scroll":20}],12:[function(t,e,n){"use strict";function r(t,e){function n(n,r){var o=t.scrollTop;if(0===n){if(!e.scrollbarYActive)return!1;if(0===o&&r>0||o>=e.contentHeight-e.containerHeight&&r<0)return!e.settings.wheelPropagation}var l=t.scrollLeft;if(0===r){if(!e.scrollbarXActive)return!1;if(0===l&&n<0||l>=e.contentWidth-e.containerWidth&&n>0)return!e.settings.wheelPropagation}return!0}var r=!1;e.event.bind(t,"mouseenter",function(){r=!0}),e.event.bind(t,"mouseleave",function(){r=!1});var i=!1;e.event.bind(e.ownerDocument,"keydown",function(c){if(!(c.isDefaultPrevented&&c.isDefaultPrevented()||c.defaultPrevented)){var u=l.matches(e.scrollbarX,":focus")||l.matches(e.scrollbarY,":focus");if(r||u){var d=document.activeElement?document.activeElement:e.ownerDocument.activeElement;if(d){if("IFRAME"===d.tagName)d=d.contentDocument.activeElement;else 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c=r(s),u=c[0],d=c[1];o(u,d)||(a=!1,e.settings.useBothWheelAxes?e.scrollbarYActive&&!e.scrollbarXActive?(d?i(t,"top",t.scrollTop-d*e.settings.wheelSpeed):i(t,"top",t.scrollTop+u*e.settings.wheelSpeed),a=!0):e.scrollbarXActive&&!e.scrollbarYActive&&(u?i(t,"left",t.scrollLeft+u*e.settings.wheelSpeed):i(t,"left",t.scrollLeft-d*e.settings.wheelSpeed),a=!0):(i(t,"top",t.scrollTop-d*e.settings.wheelSpeed),i(t,"left",t.scrollLeft+u*e.settings.wheelSpeed)),l(t),a=a||n(u,d),a&&(s.stopPropagation(),s.preventDefault()))}var a=!1;"undefined"!=typeof window.onwheel?e.event.bind(t,"wheel",s):"undefined"!=typeof window.onmousewheel&&e.event.bind(t,"mousewheel",s)}var o=t("../instances"),l=t("../update-geometry"),i=t("../update-scroll");e.exports=function(t){var e=o.get(t);r(t,e)}},{"../instances":18,"../update-geometry":19,"../update-scroll":20}],14:[function(t,e,n){"use strict";function r(t,e){e.event.bind(t,"scroll",function(){l(t)})}var o=t("../instances"),l=t("../update-geometry");e.exports=function(t){var e=o.get(t);r(t,e)}},{"../instances":18,"../update-geometry":19}],15:[function(t,e,n){"use strict";function r(t,e){function n(){var t=window.getSelection?window.getSelection():document.getSelection?document.getSelection():"";return 0===t.toString().length?null:t.getRangeAt(0).commonAncestorContainer}function r(){c||(c=setInterval(function(){return l.get(t)?(s(t,"top",t.scrollTop+u.top),s(t,"left",t.scrollLeft+u.left),void i(t)):void clearInterval(c)},50))}function a(){c&&(clearInterval(c),c=null),o.stopScrolling(t)}var c=null,u={top:0,left:0},d=!1;e.event.bind(e.ownerDocument,"selectionchange",function(){t.contains(n())?d=!0:(d=!1,a())}),e.event.bind(window,"mouseup",function(){d&&(d=!1,a())}),e.event.bind(window,"keyup",function(){d&&(d=!1,a())}),e.event.bind(window,"mousemove",function(e){if(d){var 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e=l.get(t);r(t,e,o.env.supportsTouch,o.env.supportsIePointer)}}},{"../../lib/helper":6,"../instances":18,"../update-geometry":19,"../update-scroll":20}],17:[function(t,e,n){"use strict";var r=t("../lib/helper"),o=t("../lib/class"),l=t("./instances"),i=t("./update-geometry"),s={"click-rail":t("./handler/click-rail"),"drag-scrollbar":t("./handler/drag-scrollbar"),keyboard:t("./handler/keyboard"),wheel:t("./handler/mouse-wheel"),touch:t("./handler/touch"),selection:t("./handler/selection")},a=t("./handler/native-scroll");e.exports=function(t,e){e="object"==typeof e?e:{},o.add(t,"ps-container");var n=l.add(t);n.settings=r.extend(n.settings,e),o.add(t,"ps-theme-"+n.settings.theme),n.settings.handlers.forEach(function(e){s[e](t)}),a(t),i(t)}},{"../lib/class":2,"../lib/helper":6,"./handler/click-rail":10,"./handler/drag-scrollbar":11,"./handler/keyboard":12,"./handler/mouse-wheel":13,"./handler/native-scroll":14,"./handler/selection":15,"./handler/touch":16,"./instances":18,"./update-geometry":19}],18:[function(t,e,n){"use strict";function r(t){function e(){a.add(t,"ps-focus")}function n(){a.remove(t,"ps-focus")}var r=this;r.settings=s.clone(c),r.containerWidth=null,r.containerHeight=null,r.contentWidth=null,r.contentHeight=null,r.isRtl="rtl"===u.css(t,"direction"),r.isNegativeScroll=function(){var e=t.scrollLeft,n=null;return t.scrollLeft=-1,n=t.scrollLeft<0,t.scrollLeft=e,n}(),r.negativeScrollAdjustment=r.isNegativeScroll?t.scrollWidth-t.clientWidth:0,r.event=new 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o(t){return t.getAttribute("data-ps-id")}function l(t,e){t.setAttribute("data-ps-id",e)}function i(t){t.removeAttribute("data-ps-id")}var s=t("../lib/helper"),a=t("../lib/class"),c=t("./default-setting"),u=t("../lib/dom"),d=t("../lib/event-manager"),p=t("../lib/guid"),f={};n.add=function(t){var e=p();return l(t,e),f[e]=new r(t),f[e]},n.remove=function(t){delete f[o(t)],i(t)},n.get=function(t){return f[o(t)]}},{"../lib/class":2,"../lib/dom":3,"../lib/event-manager":4,"../lib/guid":5,"../lib/helper":6,"./default-setting":8}],19:[function(t,e,n){"use strict";function r(t,e){return t.settings.minScrollbarLength&&(e=Math.max(e,t.settings.minScrollbarLength)),t.settings.maxScrollbarLength&&(e=Math.min(e,t.settings.maxScrollbarLength)),e}function o(t,e){var n={width:e.railXWidth};e.isRtl?n.left=e.negativeScrollAdjustment+t.scrollLeft+e.containerWidth-e.contentWidth:n.left=t.scrollLeft,e.isScrollbarXUsingBottom?n.bottom=e.scrollbarXBottom-t.scrollTop:n.top=e.scrollbarXTop+t.scrollTop,s.css(e.scrollbarXRail,n);var r={top:t.scrollTop,height:e.railYHeight};e.isScrollbarYUsingRight?e.isRtl?r.right=e.contentWidth-(e.negativeScrollAdjustment+t.scrollLeft)-e.scrollbarYRight-e.scrollbarYOuterWidth:r.right=e.scrollbarYRight-t.scrollLeft:e.isRtl?r.left=e.negativeScrollAdjustment+t.scrollLeft+2*e.containerWidth-e.contentWidth-e.scrollbarYLeft-e.scrollbarYOuterWidth:r.left=e.scrollbarYLeft+t.scrollLeft,s.css(e.scrollbarYRail,r),s.css(e.scrollbarX,{left:e.scrollbarXLeft,width:e.scrollbarXWidth-e.railBorderXWidth}),s.css(e.scrollbarY,{top:e.scrollbarYTop,height:e.scrollbarYHeight-e.railBorderYWidth})}var l=t("../lib/helper"),i=t("../lib/class"),s=t("../lib/dom"),a=t("./instances"),c=t("./update-scroll");e.exports=function(t){var e=a.get(t);e.containerWidth=t.clientWidth,e.containerHeight=t.clientHeight,e.contentWidth=t.scrollWidth,e.contentHeight=t.scrollHeight;var n;t.contains(e.scrollbarXRail)||(n=s.queryChildren(t,".ps-scrollbar-x-rail"),n.length>0&&n.forEach(function(t){s.remove(t)}),s.appendTo(e.scrollbarXRail,t)),t.contains(e.scrollbarYRail)||(n=s.queryChildren(t,".ps-scrollbar-y-rail"),n.length>0&&n.forEach(function(t){s.remove(t)}),s.appendTo(e.scrollbarYRail,t)),!e.settings.suppressScrollX&&e.containerWidth+e.settings.scrollXMarginOffset<e.contentWidth?(e.scrollbarXActive=!0,e.railXWidth=e.containerWidth-e.railXMarginWidth,e.railXRatio=e.containerWidth/e.railXWidth,e.scrollbarXWidth=r(e,l.toInt(e.railXWidth*e.containerWidth/e.contentWidth)),e.scrollbarXLeft=l.toInt((e.negativeScrollAdjustment+t.scrollLeft)*(e.railXWidth-e.scrollbarXWidth)/(e.contentWidth-e.containerWidth))):e.scrollbarXActive=!1,!e.settings.suppressScrollY&&e.containerHeight+e.settings.scrollYMarginOffset<e.contentHeight?(e.scrollbarYActive=!0,e.railYHeight=e.containerHeight-e.railYMarginHeight,e.railYRatio=e.containerHeight/e.railYHeight,e.scrollbarYHeight=r(e,l.toInt(e.railYHeight*e.containerHeight/e.contentHeight)),e.scrollbarYTop=l.toInt(t.scrollTop*(e.railYHeight-e.scrollbarYHeight)/(e.contentHeight-e.containerHeight))):e.scrollbarYActive=!1,e.scrollbarXLeft>=e.railXWidth-e.scrollbarXWidth&&(e.scrollbarXLeft=e.railXWidth-e.scrollbarXWidth),e.scrollbarYTop>=e.railYHeight-e.scrollbarYHeight&&(e.scrollbarYTop=e.railYHeight-e.scrollbarYHeight),o(t,e),e.scrollbarXActive?i.add(t,"ps-active-x"):(i.remove(t,"ps-active-x"),e.scrollbarXWidth=0,e.scrollbarXLeft=0,c(t,"left",0)),e.scrollbarYActive?i.add(t,"ps-active-y"):(i.remove(t,"ps-active-y"),e.scrollbarYHeight=0,e.scrollbarYTop=0,c(t,"top",0))}},{"../lib/class":2,"../lib/dom":3,"../lib/helper":6,"./instances":18,"./update-scroll":20}],20:[function(t,e,n){"use strict";var r,o,l=t("./instances"),i=function(t){var e=document.createEvent("Event");return e.initEvent(t,!0,!0),e};e.exports=function(t,e,n){if("undefined"==typeof t)throw"You must provide an element to the update-scroll function";if("undefined"==typeof e)throw"You must provide an axis to the update-scroll function";if("undefined"==typeof n)throw"You must provide a value to the update-scroll function";"top"===e&&n<=0&&(t.scrollTop=n=0,t.dispatchEvent(i("ps-y-reach-start"))),"left"===e&&n<=0&&(t.scrollLeft=n=0,t.dispatchEvent(i("ps-x-reach-start")));var s=l.get(t);"top"===e&&n>=s.contentHeight-s.containerHeight&&(n=s.contentHeight-s.containerHeight,n-t.scrollTop<=1?n=t.scrollTop:t.scrollTop=n,t.dispatchEvent(i("ps-y-reach-end"))),"left"===e&&n>=s.contentWidth-s.containerWidth&&(n=s.contentWidth-s.containerWidth,n-t.scrollLeft<=1?n=t.scrollLeft:t.scrollLeft=n,t.dispatchEvent(i("ps-x-reach-end"))),r||(r=t.scrollTop),o||(o=t.scrollLeft),"top"===e&&n<r&&t.dispatchEvent(i("ps-scroll-up")),"top"===e&&n>r&&t.dispatchEvent(i("ps-scroll-down")),"left"===e&&n<o&&t.dispatchEvent(i("ps-scroll-left")),"left"===e&&n>o&&t.dispatchEvent(i("ps-scroll-right")),"top"===e&&(t.scrollTop=r=n,t.dispatchEvent(i("ps-scroll-y"))),"left"===e&&(t.scrollLeft=o=n,t.dispatchEvent(i("ps-scroll-x")))}},{"./instances":18}],21:[function(t,e,n){"use strict";var r=t("../lib/helper"),o=t("../lib/dom"),l=t("./instances"),i=t("./update-geometry"),s=t("./update-scroll");e.exports=function(t){var e=l.get(t);e&&(e.negativeScrollAdjustment=e.isNegativeScroll?t.scrollWidth-t.clientWidth:0,o.css(e.scrollbarXRail,"display","block"),o.css(e.scrollbarYRail,"display","block"),e.railXMarginWidth=r.toInt(o.css(e.scrollbarXRail,"marginLeft"))+r.toInt(o.css(e.scrollbarXRail,"marginRight")),e.railYMarginHeight=r.toInt(o.css(e.scrollbarYRail,"marginTop"))+r.toInt(o.css(e.scrollbarYRail,"marginBottom")),o.css(e.scrollbarXRail,"display","none"),o.css(e.scrollbarYRail,"display","none"),i(t),s(t,"top",t.scrollTop),s(t,"left",t.scrollLeft),o.css(e.scrollbarXRail,"display",""),o.css(e.scrollbarYRail,"display",""))}},{"../lib/dom":3,"../lib/helper":6,"./instances":18,"./update-geometry":19,"./update-scroll":20}]},{},[1]);
=====================================================
== File: docs/document/themes/hugo-theme-learn/static/js/jquery.sticky.js
=====================================================
// Sticky Plugin v1.0.4 for jQuery
// =============
// Author: Anthony Garand
// Improvements by German M. Bravo (Kronuz) and Ruud Kamphuis (ruudk)
// Improvements by Leonardo C. Daronco (daronco)
// Created: 02/14/2011
// Date: 07/20/2015
// Website: http://stickyjs.com/
// Description: Makes an element on the page stick on the screen as you scroll
// It will only set the 'top' and 'position' of your element, you
// might need to adjust the width in some cases.
(function (factory) {
if (typeof define === 'function' && define.amd) {
// AMD. Register as an anonymous module.
define(['jquery'], factory);
} else if (typeof module === 'object' && module.exports) {
// Node/CommonJS
module.exports = factory(require('jquery'));
} else {
// Browser globals
factory(jQuery);
}
}(function ($) {
var slice = Array.prototype.slice; // save ref to original slice()
var splice = Array.prototype.splice; // save ref to original slice()
var defaults = {
topSpacing: 0,
bottomSpacing: 0,
className: 'is-sticky',
wrapperClassName: 'sticky-wrapper',
center: false,
getWidthFrom: '',
widthFromWrapper: true, // works only when .getWidthFrom is empty
responsiveWidth: false,
zIndex: 'inherit'
},
$window = $(window),
$document = $(document),
$TableOfContents = $('#TableOfContents'),
sticked = [],
windowHeight = $window.height(),
scroller = function() {
var scrollTop = $window.scrollTop(),
documentHeight = $document.height(),
dwh = documentHeight - windowHeight,
extra = (scrollTop > dwh) ? dwh - scrollTop : 0;
for (var i = 0, l = sticked.length; i < l; i++) {
=====================================================
== File: docs/document/themes/hugo-theme-learn/static/js/modernizr.custom-3.6.0.js
=====================================================
/*! modernizr 3.6.0 (Custom Build) | MIT *
* https://modernizr.com/download/?-csstransforms3d-domprefixes-prefixes-setclasses-shiv-testallprops-testprop-teststyles !*/
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=====================================================
== File: docs/document/themes/hugo-theme-learn/static/js/featherlight.min.js
=====================================================
/**
* Featherlight - ultra slim jQuery lightbox
* Version 1.7.13 - http://noelboss.github.io/featherlight/
*
* Copyright 2018, Noël Raoul Bossart (http://www.noelboss.com)
* MIT Licensed.
**/
// Modified by OZ -> https://github.com/noelboss/featherlight/issues/317
!function(u){"use strict";if(void 0!==u)if(u.fn.jquery.match(/-ajax/))"console"in window&&window.console.info("Featherlight needs regular jQuery, not the slim version.");else{var r=[],i=function(t){return r=u.grep(r,function(e){return e!==t&&0<e.$instance.closest("body").length})},o={allow:1,allowfullscreen:1,frameborder:1,height:1,longdesc:1,marginheight:1,marginwidth:1,mozallowfullscreen:1,name:1,referrerpolicy:1,sandbox:1,scrolling:1,src:1,srcdoc:1,style:1,webkitallowfullscreen:1,width:1},n={keyup:"onKeyUp",resize:"onResize"},a=function(e){u.each(c.opened().reverse(),function(){if(!e.isDefaultPrevented()&&!1===this[n[e.type]](e))return e.preventDefault(),e.stopPropagation(),!1})},s=function(e){if(e!==c._globalHandlerInstalled){c._globalHandlerInstalled=e;var t=u.map(n,function(e,t){return t+"."+c.prototype.namespace}).join(" 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class="'+n.namespace+'-inner">'+n.loading+"</div>","</div>","</div>"].join("")),o="."+n.namespace+"-close"+(n.otherClose?","+n.otherClose:"");return n.$instance=i.clone().addClass(n.variant),n.$instance.on(n.closeTrigger+"."+n.namespace,function(e){if(!e.isDefaultPrevented()){var t=u(e.target);("background"===n.closeOnClick&&t.is("."+n.namespace)||"anywhere"===n.closeOnClick||t.closest(o).length)&&(n.close(e),e.preventDefault())}}),this},getContent:function(){if(!1!==this.persist&&this.$content)return this.$content;var t=this,e=this.constructor.contentFilters,n=function(e){return t.$currentTarget&&t.$currentTarget.attr(e)},r=n(t.targetAttr),i=t.target||r||"",o=e[t.type];if(!o&&i in e&&(o=e[i],i=t.target&&r),i=i||n("href")||"",!o)for(var a in e)t[a]&&(o=e[a],i=t[a]);if(!o){var s=i;if(i=null,u.each(t.contentFilters,function(){return(o=e[this]).test&&(i=o.test(s)),!i&&o.regex&&s.match&&s.match(o.regex)&&(i=s),!i}),!i)return"console"in window&&window.console.error("Featherlight: no content 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t=this,n=u.Deferred();return!1===t.beforeClose(e)?n.reject():(0===i(t).length&&s(!1),t.$instance.fadeOut(t.closeSpeed,function(){t.$instance.detach(),t.afterClose(e),n.resolve()})),n.promise()},resize:function(e,t){if(e&&t&&(this.$content.css("width","").css("height",""),this.$content.parent().width()<e||this.$content.parent().height()<t)){var n=Math.max(e/(this.$content.parent().width()-1),t/(this.$content.parent().height()-1));1<n&&(n=t/Math.floor(t/n),this.$content.css("width",e/n+"px").css("height",t/n+"px"))}},chainCallbacks:function(e){for(var t in e)this[t]=u.proxy(e[t],this,u.proxy(this[t],this))}},u.extend(c,{id:0,autoBind:"[data-featherlight]",defaults:c.prototype,contentFilters:{jquery:{regex:/^[#.]\w/,test:function(e){return e instanceof u&&e},process:function(e){return!1!==this.persist?u(e):u(e).clone(!0)}},image:{regex:/\.(png|jpg|jpeg|gif|tiff?|bmp|svg)(\?\S*)?$/i,process:function(e){var t=u.Deferred(),n=new Image,r=u('<img src="'+e+'" alt="" 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u("<div>",{text:e})}}},functionAttributes:["beforeOpen","afterOpen","beforeContent","afterContent","beforeClose","afterClose"],readElementConfig:function(e,t){var r=this,i=new RegExp("^data-"+t+"-(.*)"),o={};return e&&e.attributes&&u.each(e.attributes,function(){var e=this.name.match(i);if(e){var t=this.value,n=u.camelCase(e[1]);if(0<=u.inArray(n,r.functionAttributes))t=new Function(t);else try{t=JSON.parse(t)}catch(e){}o[n]=t}}),o},extend:function(e,t){var n=function(){this.constructor=e};return n.prototype=this.prototype,e.prototype=new n,e.__super__=this.prototype,u.extend(e,this,t),e.defaults=e.prototype,e},attach:function(i,o,a){var s=this;"object"!=typeof o||o instanceof u!=!1||a||(a=o,o=void 0);var c,e=(a=u.extend({},a)).namespace||s.defaults.namespace,l=u.extend({},s.defaults,s.readElementConfig(i[0],e),a),t=function(e){var 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n=r.attach(t);(!n.filter||0<u(e.target).parentsUntil(t,n.filter).length)&&n.handler(e)}}})}},_callbackChain:{onKeyUp:function(e,t){return 27===t.keyCode?(this.closeOnEsc&&u.featherlight.close(t),!1):e(t)},beforeOpen:function(e,t){return u(document.documentElement).addClass("with-featherlight"),this._previouslyActive=document.activeElement,this._$previouslyTabbable=u("a, input, select, textarea, iframe, button, iframe, [contentEditable=true]").not("[tabindex]").not(this.$instance.find("button")),this._$previouslyWithTabIndex=u("[tabindex]").not('[tabindex="-1"]'),this._previousWithTabIndices=this._$previouslyWithTabIndex.map(function(e,t){return u(t).attr("tabindex")}),this._$previouslyWithTabIndex.add(this._$previouslyTabbable).attr("tabindex",-1),document.activeElement.blur&&document.activeElement.blur(),e(t)},afterClose:function(e,t){var n=e(t),r=this;return this._$previouslyTabbable.removeAttr("tabindex"),this._$previouslyWithTabIndex.each(function(e,t){u(t).attr("tabindex",r._previousWithTabIndices[e])}),this._previouslyActive.focus(),0===c.opened().length&&u(document.documentElement).removeClass("with-featherlight"),n},onResize:function(e,t){return this.resize(this.$content.naturalWidth,this.$content.naturalHeight),e(t)},afterContent:function(e,t){var n=e(t);return this.$instance.find("[autofocus]:not([disabled])").focus(),this.onResize(t),n}}}),u.featherlight=c,u.fn.featherlight=function(e,t){return c.attach(this,e,t),this},u(document).ready(function(){c._onReady()})}else"console"in window&&window.console.info("Too much lightness, Featherlight needs jQuery.");function c(e,t){if(!(this instanceof c)){var n=new c(e,t);return n.open(),n}this.id=c.id++,this.setup(e,t),this.chainCallbacks(c._callbackChain)}}(jQuery);
=====================================================
== File: docs/document/themes/hugo-theme-learn/static/js/clipboard.min.js
=====================================================
/*!
* clipboard.js v2.0.4
* https://zenorocha.github.io/clipboard.js
*
* Licensed MIT © Zeno Rocha
*/
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=====================================================
== File: docs/document/themes/hugo-theme-learn/static/css/theme.css
=====================================================
@charset "UTF-8";
/* Tags */
@import "tags.css";
#top-github-link, #body #breadcrumbs {
position: relative;
top: 50%;
-webkit-transform: translateY(-50%);
-moz-transform: translateY(-50%);
-o-transform: translateY(-50%);
-ms-transform: translateY(-50%);
transform: translateY(-50%);
}
.button, .button-secondary {
display: inline-block;
padding: 7px 12px;
}
.button:active, .button-secondary:active {
margin: 2px 0 -2px 0;
}
@font-face {
font-family: 'Novacento Sans Wide';
src: url("../fonts/Novecentosanswide-UltraLight-webfont.eot");
src: url("../fonts/Novecentosanswide-UltraLight-webfont.eot?#iefix") format("embedded-opentype"), url("../fonts/Novecentosanswide-UltraLight-webfont.woff2") format("woff2"), url("../fonts/Novecentosanswide-UltraLight-webfont.woff") format("woff"), url("../fonts/Novecentosanswide-UltraLight-webfont.ttf") format("truetype"), url("../fonts/Novecentosanswide-UltraLight-webfont.svg#novecento_sans_wideultralight") format("svg");
font-style: normal;
font-weight: 200;
}
@font-face {
font-family: 'Work Sans';
font-style: normal;
font-weight: 300;
src: url("../fonts/Work_Sans_300.eot?#iefix") format("embedded-opentype"), url("../fonts/Work_Sans_300.woff") format("woff"), url("../fonts/Work_Sans_300.woff2") format("woff2"), url("../fonts/Work_Sans_300.svg#WorkSans") format("svg"), url("../fonts/Work_Sans_300.ttf") format("truetype");
}
@font-face {
font-family: 'Work Sans';
font-style: normal;
font-weight: 500;
src: url("../fonts/Work_Sans_500.eot?#iefix") format("embedded-opentype"), url("../fonts/Work_Sans_500.woff") format("woff"), url("../fonts/Work_Sans_500.woff2") format("woff2"), url("../fonts/Work_Sans_500.svg#WorkSans") format("svg"), url("../fonts/Work_Sans_500.ttf") format("truetype");
}
body {
background: #fff;
color: #777;
}
body #chapter h1 {
font-size: 3.5rem;
}
@media only all and (min-width: 48em) and (max-width: 59.938em) {
body #chapter h1 {
font-size: 3rem;
=====================================================
== File: docs/document/themes/hugo-theme-learn/static/css/tags.css
=====================================================
/* Tags */
#head-tags{
margin-left:1em;
margin-top:1em;
}
#body .tags a.tag-link {
display: inline-block;
line-height: 2em;
font-size: 0.8em;
position: relative;
margin: 0 16px 8px 0;
padding: 0 10px 0 12px;
background: #8451a1;
-webkit-border-bottom-right-radius: 3px;
border-bottom-right-radius: 3px;
-webkit-border-top-right-radius: 3px;
border-top-right-radius: 3px;
-webkit-box-shadow: 0 1px 2px rgba(0,0,0,0.2);
box-shadow: 0 1px 2px rgba(0,0,0,0.2);
color: #fff;
}
#body .tags a.tag-link:before {
content: "";
position: absolute;
top:0;
left: -1em;
width: 0;
height: 0;
border-color: transparent #8451a1 transparent transparent;
border-style: solid;
border-width: 1em 1em 1em 0;
}
#body .tags a.tag-link:after {
content: "";
position: absolute;
top: 10px;
left: 1px;
width: 5px;
height: 5px;
-webkit-border-radius: 50%;
border-radius: 100%;
background: #fff;
}
=====================================================
== File: docs/document/themes/hugo-theme-learn/static/css/hybrid.css
=====================================================
/*
vim-hybrid theme by w0ng (https://github.com/w0ng/vim-hybrid)
*/
/*background color*/
.hljs {
display: block;
overflow-x: auto;
padding: 0.5em;
background: #1d1f21;
}
/*selection color*/
.hljs::selection,
.hljs span::selection {
background: #373b41;
}
.hljs::-moz-selection,
.hljs span::-moz-selection {
background: #373b41;
}
/*foreground color*/
.hljs {
color: #c5c8c6;
}
/*color: fg_yellow*/
.hljs-title,
.hljs-name {
color: #f0c674;
}
/*color: fg_comment*/
.hljs-comment,
.hljs-meta,
.hljs-meta .hljs-keyword {
color: #707880;
}
/*color: fg_red*/
.hljs-number,
.hljs-symbol,
.hljs-literal,
.hljs-deletion,
.hljs-link {
color: #cc6666
=====================================================
== File: docs/document/themes/hugo-theme-learn/static/css/auto-complete.css
=====================================================
.autocomplete-suggestions {
text-align: left;
cursor: default;
border: 1px solid #ccc;
border-top: 0;
background: #fff;
box-shadow: -1px 1px 3px rgba(0,0,0,.1);
/* core styles should not be changed */
position: absolute;
display: none;
z-index: 9999;
max-height: 254px;
overflow: hidden;
overflow-y: auto;
box-sizing: border-box;
}
.autocomplete-suggestion {
position: relative;
cursor: pointer;
padding: 7px;
line-height: 23px;
white-space: nowrap;
overflow: hidden;
text-overflow: ellipsis;
color: #333;
}
.autocomplete-suggestion b {
font-weight: normal;
color: #1f8dd6;
}
.autocomplete-suggestion.selected {
background: #333;
color: #fff;
}
.autocomplete-suggestion:hover {
background: #444;
color: #fff;
}
.autocomplete-suggestion > .context {
font-size: 12px;
}
=====================================================
== File: docs/document/themes/hugo-theme-learn/static/css/featherlight.min.css
=====================================================
/**
* Featherlight - ultra slim jQuery lightbox
* Version 1.7.13 - http://noelboss.github.io/featherlight/
*
* Copyright 2018, Noël Raoul Bossart (http://www.noelboss.com)
* MIT Licensed.
**/
html.with-featherlight{overflow:hidden}.featherlight{display:none;position:fixed;top:0;right:0;bottom:0;left:0;z-index:2147483647;text-align:center;white-space:nowrap;cursor:pointer;background:#333;background:rgba(0,0,0,0)}.featherlight:last-of-type{background:rgba(0,0,0,.8)}.featherlight:before{content:'';display:inline-block;height:100%;vertical-align:middle}.featherlight .featherlight-content{position:relative;text-align:left;vertical-align:middle;display:inline-block;overflow:auto;padding:25px 25px 0;border-bottom:25px solid transparent;margin-left:5%;margin-right:5%;max-height:95%;background:#fff;cursor:auto;white-space:normal}.featherlight .featherlight-inner{display:block}.featherlight link.featherlight-inner,.featherlight script.featherlight-inner,.featherlight style.featherlight-inner{display:none}.featherlight .featherlight-close-icon{position:absolute;z-index:9999;top:0;right:0;line-height:25px;width:25px;cursor:pointer;text-align:center;font-family:Arial,sans-serif;background:#fff;background:rgba(255,255,255,.3);color:#000;border:0;padding:0}.featherlight .featherlight-close-icon::-moz-focus-inner{border:0;padding:0}.featherlight .featherlight-image{width:100%}.featherlight-iframe .featherlight-content{border-bottom:0;padding:0;-webkit-overflow-scrolling:touch}.featherlight iframe{border:0}.featherlight *{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box}@media only screen and (max-width:1024px){.featherlight .featherlight-content{margin-left:0;margin-right:0;max-height:98%;padding:10px 10px 0;border-bottom:10px solid transparent}}@media print{html.with-featherlight>*>:not(.featherlight){display:none}}
=====================================================
== File: docs/document/themes/hugo-theme-learn/static/css/theme-blue.css
=====================================================
:root{
--MAIN-TEXT-color:#323232; /* Color of text by default */
--MAIN-TITLES-TEXT-color: #5e5e5e; /* Color of titles h2-h3-h4-h5 */
--MAIN-LINK-color:#1C90F3; /* Color of links */
--MAIN-LINK-HOVER-color:#167ad0; /* Color of hovered links */
--MAIN-ANCHOR-color: #1C90F3; /* color of anchors on titles */
--MENU-HOME-LINK-color: #323232; /* Color of the home button text */
--MENU-HOME-LINK-HOVER-color: #5e5e5e; /* Color of the hovered home button text */
--MENU-HEADER-BG-color:#1C90F3; /* Background color of menu header */
--MENU-HEADER-BORDER-color:#33a1ff; /*Color of menu header border */
--MENU-SEARCH-BG-color:#167ad0; /* Search field background color (by default borders + icons) */
--MENU-SEARCH-BOX-color: #33a1ff; /* Override search field border color */
--MENU-SEARCH-BOX-ICONS-color: #a1d2fd; /* Override search field icons color */
--MENU-SECTIONS-ACTIVE-BG-color:#20272b; /* Background color of the active section and its childs */
--MENU-SECTIONS-BG-color:#252c31; /* Background color of other sections */
--MENU-SECTIONS-LINK-color: #ccc; /* Color of links in menu */
--MENU-SECTIONS-LINK-HOVER-color: #e6e6e6; /* Color of links in menu, when hovered */
--MENU-SECTION-ACTIVE-CATEGORY-color: #777; /* Color of active category text */
--MENU-SECTION-ACTIVE-CATEGORY-BG-color: #fff; /* Color of background for the active category (only) */
--MENU-VISITED-color: #33a1ff; /* Color of 'page visited' icons in menu */
--MENU-SECTION-HR-color: #20272b; /* Color of <hr> separator in menu */
}
body {
color: var(--MAIN-TEXT-color) !important;
}
textarea:focus, input[type="email"]:focus, input[type="number"]:focus, input[type="password"]:focus, input[type="search"]:focus, input[type="tel"]:focus, input[type="text"]:focus, input[type="url"]:focus, input[type="color"]:focus, input[type="date"]:focus, input[type="datetime"]:focus, input[type="datetime-local"]:focus, input[type="month"]:focus, input[type="time"]:focus, input[type="week"]:focus, select[multiple=multiple]:focus {
border-color: none;
box-shadow: none;
}
h2, h3, h4, h5 {
color: var(--MAIN-TITLES-TEXT-color) !important;
}
a {
color: var(--MAIN-LINK-color);
}
.anchor {
color: var(--MAIN-ANCHOR-color);
=====================================================
== File: docs/document/themes/hugo-theme-learn/static/css/tabs.css
=====================================================
#body .tab-nav-button {
border-width: 1px 1px 1px 1px !important;
border-color: #ccc !important;
border-radius: 4px 4px 0 0 !important;
background-color: #ddd !important;
float: left;
display: block;
position: relative;
margin-left: 4px;
bottom: -1px;
}
#body .tab-nav-button:first-child {
margin-left: 0px;
}
#body .tab-nav-button.active {
background-color: #fff !important;
border-bottom-color: #fff !important;
}
#body .tab-panel {
margin-top: 32px;
margin-bottom: 32px;
}
#body .tab-content {
display: block;
clear: both;
padding: 8px;
border-width: 1px;
border-style: solid;
border-color: #ccc;
}
#body .tab-content .tab-item{
display: none;
}
#body .tab-content .tab-item.active{
display: block;
}
#body .tab-item pre{
margin-bottom: 0;
margin-top: 0;
}
=====================================================
== File: docs/document/themes/hugo-theme-learn/static/css/theme-red.css
=====================================================
:root{
--MAIN-TEXT-color:#323232; /* Color of text by default */
--MAIN-TITLES-TEXT-color: #5e5e5e; /* Color of titles h2-h3-h4-h5 */
--MAIN-LINK-color:#f31c1c; /* Color of links */
--MAIN-LINK-HOVER-color:#d01616; /* Color of hovered links */
--MAIN-ANCHOR-color: #f31c1c; /* color of anchors on titles */
--MENU-HOME-LINK-color: #ccc; /* Color of the home button text */
--MENU-HOME-LINK-HOVER-color: #e6e6e6; /* Color of the hovered home button text */
--MENU-HEADER-BG-color:#dc1010; /* Background color of menu header */
--MENU-HEADER-BORDER-color:#e23131; /*Color of menu header border */
--MENU-SEARCH-BG-color:#b90000; /* Search field background color (by default borders + icons) */
--MENU-SEARCH-BOX-color: #ef2020; /* Override search field border color */
--MENU-SEARCH-BOX-ICONS-color: #fda1a1; /* Override search field icons color */
--MENU-SECTIONS-ACTIVE-BG-color:#2b2020; /* Background color of the active section and its childs */
--MENU-SECTIONS-BG-color:#312525; /* Background color of other sections */
--MENU-SECTIONS-LINK-color: #ccc; /* Color of links in menu */
--MENU-SECTIONS-LINK-HOVER-color: #e6e6e6; /* Color of links in menu, when hovered */
--MENU-SECTION-ACTIVE-CATEGORY-color: #777; /* Color of active category text */
--MENU-SECTION-ACTIVE-CATEGORY-BG-color: #fff; /* Color of background for the active category (only) */
--MENU-VISITED-color: #ff3333; /* Color of 'page visited' icons in menu */
--MENU-SECTION-HR-color: #2b2020; /* Color of <hr> separator in menu */
}
body {
color: var(--MAIN-TEXT-color) !important;
}
textarea:focus, input[type="email"]:focus, input[type="number"]:focus, input[type="password"]:focus, input[type="search"]:focus, input[type="tel"]:focus, input[type="text"]:focus, input[type="url"]:focus, input[type="color"]:focus, input[type="date"]:focus, input[type="datetime"]:focus, input[type="datetime-local"]:focus, input[type="month"]:focus, input[type="time"]:focus, input[type="week"]:focus, select[multiple=multiple]:focus {
border-color: none;
box-shadow: none;
}
h2, h3, h4, h5 {
color: var(--MAIN-TITLES-TEXT-color) !important;
}
a {
color: var(--MAIN-LINK-color);
}
.anchor {
color: var(--MAIN-ANCHOR-color);
=====================================================
== File: docs/document/themes/hugo-theme-learn/static/css/perfect-scrollbar.min.css
=====================================================
/* perfect-scrollbar v0.6.13 */
.ps-container{-ms-touch-action:auto;touch-action:auto;overflow:hidden !important;-ms-overflow-style:none}@supports (-ms-overflow-style: none){.ps-container{overflow:auto !important}}@media screen and (-ms-high-contrast: active), (-ms-high-contrast: none){.ps-container{overflow:auto !important}}.ps-container.ps-active-x>.ps-scrollbar-x-rail,.ps-container.ps-active-y>.ps-scrollbar-y-rail{display:block;background-color:transparent}.ps-container.ps-in-scrolling.ps-x>.ps-scrollbar-x-rail{background-color:#eee;opacity:.9}.ps-container.ps-in-scrolling.ps-x>.ps-scrollbar-x-rail>.ps-scrollbar-x{background-color:#999;height:11px}.ps-container.ps-in-scrolling.ps-y>.ps-scrollbar-y-rail{background-color:#eee;opacity:.9}.ps-container.ps-in-scrolling.ps-y>.ps-scrollbar-y-rail>.ps-scrollbar-y{background-color:#999;width:11px}.ps-container>.ps-scrollbar-x-rail{display:none;position:absolute;opacity:0;-webkit-transition:background-color .2s linear, opacity .2s linear;-o-transition:background-color .2s linear, opacity .2s linear;-moz-transition:background-color .2s linear, opacity .2s linear;transition:background-color .2s linear, opacity .2s linear;bottom:0px;height:15px}.ps-container>.ps-scrollbar-x-rail>.ps-scrollbar-x{position:absolute;background-color:#aaa;-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px;-webkit-transition:background-color .2s linear, height .2s linear, width .2s ease-in-out, -webkit-border-radius .2s ease-in-out;transition:background-color .2s linear, height .2s linear, width .2s ease-in-out, -webkit-border-radius .2s ease-in-out;-o-transition:background-color .2s linear, height .2s linear, width .2s ease-in-out, border-radius .2s ease-in-out;-moz-transition:background-color .2s linear, height .2s linear, width .2s ease-in-out, border-radius .2s ease-in-out, -moz-border-radius .2s ease-in-out;transition:background-color .2s linear, height .2s linear, width .2s ease-in-out, border-radius .2s ease-in-out;transition:background-color .2s linear, height .2s linear, width .2s ease-in-out, border-radius .2s ease-in-out, -webkit-border-radius .2s ease-in-out, -moz-border-radius .2s ease-in-out;bottom:2px;height:6px}.ps-container>.ps-scrollbar-x-rail:hover>.ps-scrollbar-x,.ps-container>.ps-scrollbar-x-rail:active>.ps-scrollbar-x{height:11px}.ps-container>.ps-scrollbar-y-rail{display:none;position:absolute;opacity:0;-webkit-transition:background-color .2s linear, opacity .2s linear;-o-transition:background-color .2s linear, opacity .2s linear;-moz-transition:background-color .2s linear, opacity .2s linear;transition:background-color .2s linear, opacity .2s linear;right:0;width:15px}.ps-container>.ps-scrollbar-y-rail>.ps-scrollbar-y{position:absolute;background-color:#aaa;-webkit-border-radius:6px;-moz-border-radius:6px;border-radius:6px;-webkit-transition:background-color .2s linear, height .2s linear, width .2s ease-in-out, -webkit-border-radius .2s ease-in-out;transition:background-color .2s linear, height .2s linear, width .2s ease-in-out, -webkit-border-radius .2s ease-in-out;-o-transition:background-color .2s linear, height .2s linear, width .2s ease-in-out, border-radius .2s ease-in-out;-moz-transition:background-color .2s linear, height .2s linear, width .2s ease-in-out, border-radius .2s ease-in-out, -moz-border-radius .2s ease-in-out;transition:background-color .2s linear, height .2s linear, width .2s ease-in-out, border-radius .2s ease-in-out;transition:background-color .2s linear, height .2s linear, width .2s ease-in-out, border-radius .2s ease-in-out, -webkit-border-radius .2s ease-in-out, -moz-border-radius .2s ease-in-out;right:2px;width:6px}.ps-container>.ps-scrollbar-y-rail:hover>.ps-scrollbar-y,.ps-container>.ps-scrollbar-y-rail:active>.ps-scrollbar-y{width:11px}.ps-container:hover.ps-in-scrolling.ps-x>.ps-scrollbar-x-rail{background-color:#eee;opacity:.9}.ps-container:hover.ps-in-scrolling.ps-x>.ps-scrollbar-x-rail>.ps-scrollbar-x{background-color:#999;height:11px}.ps-container:hover.ps-in-scrolling.ps-y>.ps-scrollbar-y-rail{background-color:#eee;opacity:.9}.ps-container:hover.ps-in-scrolling.ps-y>.ps-scrollbar-y-rail>.ps-scrollbar-y{background-color:#999;width:11px}.ps-container:hover>.ps-scrollbar-x-rail,.ps-container:hover>.ps-scrollbar-y-rail{opacity:.6}.ps-container:hover>.ps-scrollbar-x-rail:hover{background-color:#eee;opacity:.9}.ps-container:hover>.ps-scrollbar-x-rail:hover>.ps-scrollbar-x{background-color:#999}.ps-container:hover>.ps-scrollbar-y-rail:hover{background-color:#eee;opacity:.9}.ps-container:hover>.ps-scrollbar-y-rail:hover>.ps-scrollbar-y{background-color:#999}
=====================================================
== File: docs/document/themes/hugo-theme-learn/static/css/hugo-theme.css
=====================================================
/* Insert here special css for hugo theme, on top of any other imported css */
/* Table of contents */
.progress ul {
list-style: none;
margin: 0;
padding: 0 15px;
}
#TableOfContents {
font-size: 13px !important;
max-height: 85vh;
overflow: auto;
padding: 15px 5px !important;
}
#TableOfContents > ul > li > a {
font-weight: bold;
}
body {
font-size: 16px !important;
color: #323232 !important;
}
#body a.highlight, #body a.highlight:hover, #body a.highlight:focus {
text-decoration: none;
outline: none;
outline: 0;
}
#body a.highlight {
line-height: 1.1;
display: inline-block;
}
#body a.highlight:after {
display: block;
content: "";
height: 1px;
width: 0%;
background-color: #0082a7; /*#CE3B2F*/
-webkit-transition: width 0.5s ease;
-moz-transition: width 0.5s ease;
-ms-transition: width 0.5s ease;
transition: width 0.5s ease;
}
#body a.highlight:hover:after, #body a.highlight:focus:after {
width: 100%;
}
=====================================================
== File: docs/document/themes/hugo-theme-learn/static/css/atom-one-dark-reasonable.css
=====================================================
/*
Atom One Dark With support for ReasonML by Gidi Morris, based off work by Daniel Gamage
Original One Dark Syntax theme from https://github.com/atom/one-dark-syntax
*/
.hljs {
display: block;
overflow-x: auto;
padding: 0.5em;
line-height: 1.3em;
color: #abb2bf;
background: #282c34;
border-radius: 5px;
}
.hljs-keyword, .hljs-operator {
color: #F92672;
}
.hljs-pattern-match {
color: #F92672;
}
.hljs-pattern-match .hljs-constructor {
color: #61aeee;
}
.hljs-function {
color: #61aeee;
}
.hljs-function .hljs-params {
color: #A6E22E;
}
.hljs-function .hljs-params .hljs-typing {
color: #FD971F;
}
.hljs-module-access .hljs-module {
color: #7e57c2;
}
.hljs-constructor {
color: #e2b93d;
}
.hljs-constructor .hljs-string {
color: #9CCC65;
}
.hljs-comment, .hljs-quote {
color: #b18eb1;
font-style: italic;
}
.hljs-doctag, .hljs-formula {
color: #c678dd;
}
=====================================================
== File: docs/document/themes/hugo-theme-learn/static/css/nucleus.css
=====================================================
*, *::before, *::after {
-webkit-box-sizing: border-box;
-moz-box-sizing: border-box;
box-sizing: border-box; }
@-webkit-viewport {
width: device-width; }
@-moz-viewport {
width: device-width; }
@-ms-viewport {
width: device-width; }
@-o-viewport {
width: device-width; }
@viewport {
width: device-width; }
html {
font-size: 100%;
-ms-text-size-adjust: 100%;
-webkit-text-size-adjust: 100%; }
body {
margin: 0; }
article,
aside,
details,
figcaption,
figure,
footer,
header,
hgroup,
main,
nav,
section,
summary {
display: block; }
audio,
canvas,
progress,
video {
display: inline-block;
vertical-align: baseline; }
audio:not([controls]) {
display: none;
height: 0; }
[hidden],
template {
=====================================================
== File: docs/document/themes/hugo-theme-learn/static/css/fontawesome-all.min.css
=====================================================
.fa,.fab,.fal,.far,.fas{-moz-osx-font-smoothing:grayscale;-webkit-font-smoothing:antialiased;display:inline-block;font-style:normal;font-variant:normal;text-rendering:auto;line-height:1}.fa-lg{font-size:1.33333em;line-height:.75em;vertical-align:-.0667em}.fa-xs{font-size:.75em}.fa-sm{font-size:.875em}.fa-1x{font-size:1em}.fa-2x{font-size:2em}.fa-3x{font-size:3em}.fa-4x{font-size:4em}.fa-5x{font-size:5em}.fa-6x{font-size:6em}.fa-7x{font-size:7em}.fa-8x{font-size:8em}.fa-9x{font-size:9em}.fa-10x{font-size:10em}.fa-fw{text-align:center;width:1.25em}.fa-ul{list-style-type:none;margin-left:2.5em;padding-left:0}.fa-ul>li{position:relative}.fa-li{left:-2em;position:absolute;text-align:center;width:2em;line-height:inherit}.fa-border{border:.08em solid #eee;border-radius:.1em;padding:.2em .25em .15em}.fa-pull-left{float:left}.fa-pull-right{float:right}.fa.fa-pull-left,.fab.fa-pull-left,.fal.fa-pull-left,.far.fa-pull-left,.fas.fa-pull-left{margin-right:.3em}.fa.fa-pull-right,.fab.fa-pull-right,.fal.fa-pull-right,.far.fa-pull-right,.fas.fa-pull-right{margin-left:.3em}.fa-spin{animation:fa-spin 2s infinite linear}.fa-pulse{animation:fa-spin 1s infinite steps(8)}@keyframes fa-spin{0%{transform:rotate(0deg)}to{transform:rotate(1turn)}}.fa-rotate-90{-ms-filter:"progid:DXImageTransform.Microsoft.BasicImage(rotation=1)";transform:rotate(90deg)}.fa-rotate-180{-ms-filter:"progid:DXImageTransform.Microsoft.BasicImage(rotation=2)";transform:rotate(180deg)}.fa-rotate-270{-ms-filter:"progid:DXImageTransform.Microsoft.BasicImage(rotation=3)";transform:rotate(270deg)}.fa-flip-horizontal{-ms-filter:"progid:DXImageTransform.Microsoft.BasicImage(rotation=0, 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== File: docs/document/themes/hugo-theme-learn/static/css/theme-green.css
=====================================================
:root{
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== File: docs/document/themes/hugo-theme-learn/static/fonts/Novecentosanswide-Normal-webfont.svg
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== File: docs/document/themes/hugo-theme-learn/static/fonts/Work_Sans_300.svg
=====================================================
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== File: docs/document/themes/hugo-theme-learn/static/fonts/Work_Sans_500.svg
=====================================================
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== File: docs/document/themes/hugo-theme-learn/static/fonts/Inconsolata.svg
=====================================================
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=====================================================
== File: docs/document/themes/hugo-theme-learn/static/fonts/Work_Sans_200.svg
=====================================================
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== File: docs/document/themes/hugo-theme-learn/static/fonts/Novecentosanswide-UltraLight-webfont.svg
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=====================================================
== File: docs/document/themes/hugo-theme-learn/static/images/clippy.svg
=====================================================
<svg xmlns="http://www.w3.org/2000/svg" width="896" height="1024"><path d="M128 768h256v64H128v-64zm320-384H128v64h320v-64zm128 192V448L384 640l192 192V704h320V576H576zm-288-64H128v64h160v-64zM128 704h160v-64H128v64zm576 64h64v128c-1 18-7 33-19 45s-27 18-45 19H64c-35 0-64-29-64-64V192c0-35 29-64 64-64h192C256 57 313 0 384 0s128 57 128 128h192c35 0 64 29 64 64v320h-64V320H64v576h640V768zM128 256h512c0-35-29-64-64-64h-64c-35 0-64-29-64-64s-29-64-64-64-64 29-64 64-29 64-64 64h-64c-35 0-64 29-64 64z"/></svg>
=====================================================
== File: docs/document/themes/hugo-theme-learn/theme.toml
=====================================================
# theme.toml template for a Hugo theme
# See https://github.com/spf13/hugoThemes#themetoml for an example
name = "Learn"
license = "MIT"
licenselink = "https://github.com/matcornic/hugo-theme-learn/blob/master/LICENSE.md"
description = "Documentation theme for Hugo, based on Grav Learn theme"
homepage = "https://github.com/matcornic/hugo-theme-learn/"
repo = "https://github.com/matcornic/hugo-theme-learn"
tags = ["documentation", "grav", "learn", "doc", "search"]
features = ["documentation", "menu", "nested sections", "search", "mermaid"]
min_version = 0.25
[author]
name = "Mathieu Cornic"
homepage = "https://matcornic.github.io/"
[original]
name = "Grav Learn"
homepage = "https://learn.getgrav.org/"
repo = "https://github.com/getgrav/grav-learn"
=====================================================
== File: docs/document/themes/hugo-theme-learn/layouts/_default/list.html
=====================================================
{{ partial "header.html" . }}
{{ .TableOfContents }}
{{ if eq .Kind "section" }}
{{ .Content }}
{{end}}
{{ if or (eq .Kind "taxonomy") (eq .Kind "term") }}
<ul>
{{ range .Pages }}
<li><a href="{{.RelPermalink}}">{{.Title}}</a></li>
{{ end }}
</ul>
{{end}}
<footer class=" footline" >
{{with .Params.LastModifierDisplayName}}
<i class='fas fa-user'></i> <a href="mailto:{{ $.Params.LastModifierEmail }}">{{ . }}</a> {{with $.Date}} <i class='fas fa-calendar'></i> {{ .Format "02/01/2006" }}{{end}}
</div>
{{end}}
</footer>
{{ partial "footer.html" . }}
=====================================================
== File: docs/document/themes/hugo-theme-learn/layouts/_default/single.html
=====================================================
{{ partial "header.html" . }}
{{ .TableOfContents }}
{{ .Content }}
<footer class="footline">
{{with .Params.LastModifierDisplayName}}
<i class='fas fa-user'></i> <a href="mailto:{{ $.Params.LastModifierEmail }}">{{ . }}</a> {{with $.Date}} <i class='fas fa-calendar'></i> {{ .Format "02/01/2006" }}{{end}}
</div>
{{end}}
</footer>
{{ partial "footer.html" . }}
=====================================================
== File: docs/document/themes/hugo-theme-learn/layouts/404.html
=====================================================
<!DOCTYPE html>
<html lang="{{ .Page.Language | default "en" }}" class="js csstransforms3d">
<head>
<meta charset="utf-8"> {{ partial "meta.html" . }} {{ partial "favicon.html" . }} {{ .Scratch.Add "title" "" }}{{ if eq .Site.Data.titles .Title }}{{ .Scratch.Set "title" (index .Site.Data.titles .Title).title }}{{ else }}{{ .Scratch.Set "title" .Title}}{{end}}
<title>{{ .Scratch.Get "title" }}</title>
{{ $assetBusting := not .Site.Params.disableAssetsBusting }}
<link href="{{"css/nucleus.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
<link href="{{"css/fontawesome-all.min.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
<link href="{{"css/hybrid.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
<link href="{{"css/featherlight.min.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
<link href="{{"css/perfect-scrollbar.min.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
<link href="{{"css/theme.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
<link href="{{"css/hugo-theme.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
{{with .Site.Params.themeVariant}}
<link href="{{(printf "css/theme-%s.css" .) | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
{{end}}
<style>
:root #header + #content > #left > #rlblock_left {
display: none !important;
}
p,
li,
ul {
text-align: center
}
ul {
list-style-type: none;
}
</style>
{{ partial "custom-header.html" . }}
</head>
<body class="" data-url="/">
<section id="body" style="margin-left:0px;">
<div id="overlay"></div>
<div id="chapter">
<div id="body-inner">
<h1>{{T "title-404"}}</h1>
<p>
</p>
<p>{{T "message-404"}}</p>
<p></p>
<p><a href='{{ "" | relLangURL }}'>{{T "Go-to-homepage"}}</a></p>
<p><img src='{{ "/images/gopher-404.jpg" | relURL }}' style="width:50%" alt="Page not found!"></p>
</div>
=====================================================
== File: docs/document/themes/hugo-theme-learn/layouts/partials/logo.html
=====================================================
<a id="logo" href='{{ (cond (and (ne .Site.Params.landingPageURL nil) (.Site.IsMultiLingual)) .Site.Params.landingPageURL "/") }}'>
<svg id="grav-logo" style="width:100%; height:100%;" viewBox="0 0 504 140" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" xml:space="preserve" style="fill-rule:evenodd;clip-rule:evenodd;stroke-linejoin:round;stroke-miterlimit:1.41421;">
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=====================================================
== File: docs/document/themes/hugo-theme-learn/layouts/partials/change-theme.html
=====================================================
<div class="change-theme">
<div class="wrap">
{{ if eq .Lang "en"}}
<span data-item="retro">
<svg t="1649761460834" class="icon" viewBox="0 0 1243 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2052" width="16" height="16"><path d="M755.093336 61.436797a511.973304 511.973304 0 1 0 207.495466 693.650688l-99.615377-53.757197a398.827204 398.827204 0 1 1-161.637286-540.351253l53.757197-99.615378z" fill="#ffffff" p-id="2053"></path><path d="M1204.971593 188.84501L534.652259 736.217612l-285.242269-364.086159 86.304071-67.653615 216.199012 275.953611 583.649567-476.574007 69.335813 84.987568z" fill="#ffffff" p-id="2054"></path></svg>
Retro
</span>
<span data-item="eyehelp">
<svg t="1649761460834" class="icon" viewBox="0 0 1243 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2052" width="16" height="16"><path d="M755.093336 61.436797a511.973304 511.973304 0 1 0 207.495466 693.650688l-99.615377-53.757197a398.827204 398.827204 0 1 1-161.637286-540.351253l53.757197-99.615378z" fill="#ffffff" p-id="2053"></path><path d="M1204.971593 188.84501L534.652259 736.217612l-285.242269-364.086159 86.304071-67.653615 216.199012 275.953611 583.649567-476.574007 69.335813 84.987568z" fill="#ffffff" p-id="2054"></path></svg>
Eye care
</span>
<span data-item="haitian">
<svg t="1649761460834" class="icon" viewBox="0 0 1243 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2052" width="16" height="16"><path d="M755.093336 61.436797a511.973304 511.973304 0 1 0 207.495466 693.650688l-99.615377-53.757197a398.827204 398.827204 0 1 1-161.637286-540.351253l53.757197-99.615378z" fill="#ffffff" p-id="2053"></path><path d="M1204.971593 188.84501L534.652259 736.217612l-285.242269-364.086159 86.304071-67.653615 216.199012 275.953611 583.649567-476.574007 69.335813 84.987568z" fill="#ffffff" p-id="2054"></path></svg>
Haitian
</span>
<span data-item="deep">
<svg t="1649761460834" class="icon" viewBox="0 0 1243 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2052" width="16" height="16"><path d="M755.093336 61.436797a511.973304 511.973304 0 1 0 207.495466 693.650688l-99.615377-53.757197a398.827204 398.827204 0 1 1-161.637286-540.351253l53.757197-99.615378z" fill="#ffffff" p-id="2053"></path><path d="M1204.971593 188.84501L534.652259 736.217612l-285.242269-364.086159 86.304071-67.653615 216.199012 275.953611 583.649567-476.574007 69.335813 84.987568z" fill="#ffffff" p-id="2054"></path></svg>
Deep
</span>
<span data-item="dark">
<svg t="1649761460834" class="icon" viewBox="0 0 1243 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2052" width="16" height="16"><path d="M755.093336 61.436797a511.973304 511.973304 0 1 0 207.495466 693.650688l-99.615377-53.757197a398.827204 398.827204 0 1 1-161.637286-540.351253l53.757197-99.615378z" fill="#ffffff" p-id="2053"></path><path d="M1204.971593 188.84501L534.652259 736.217612l-285.242269-364.086159 86.304071-67.653615 216.199012 275.953611 583.649567-476.574007 69.335813 84.987568z" fill="#ffffff" p-id="2054"></path></svg>
Dark
</span>
<span class="active">
<svg t="1649761460834" class="icon" viewBox="0 0 1243 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2052" width="16" height="16"><path d="M755.093336 61.436797a511.973304 511.973304 0 1 0 207.495466 693.650688l-99.615377-53.757197a398.827204 398.827204 0 1 1-161.637286-540.351253l53.757197-99.615378z" fill="#ffffff" p-id="2053"></path><path d="M1204.971593 188.84501L534.652259 736.217612l-285.242269-364.086159 86.304071-67.653615 216.199012 275.953611 583.649567-476.574007 69.335813 84.987568z" fill="#ffffff" p-id="2054"></path></svg>
Default
</span>
{{ else }}
<span data-item="retro">
<svg t="1649761460834" class="icon" viewBox="0 0 1243 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2052" width="16" height="16"><path d="M755.093336 61.436797a511.973304 511.973304 0 1 0 207.495466 693.650688l-99.615377-53.757197a398.827204 398.827204 0 1 1-161.637286-540.351253l53.757197-99.615378z" fill="#ffffff" p-id="2053"></path><path d="M1204.971593 188.84501L534.652259 736.217612l-285.242269-364.086159 86.304071-67.653615 216.199012 275.953611 583.649567-476.574007 69.335813 84.987568z" fill="#ffffff" p-id="2054"></path></svg>
复古
</span>
<span data-item="eyehelp">
<svg t="1649761460834" class="icon" viewBox="0 0 1243 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2052" width="16" height="16"><path d="M755.093336 61.436797a511.973304 511.973304 0 1 0 207.495466 693.650688l-99.615377-53.757197a398.827204 398.827204 0 1 1-161.637286-540.351253l53.757197-99.615378z" fill="#ffffff" p-id="2053"></path><path d="M1204.971593 188.84501L534.652259 736.217612l-285.242269-364.086159 86.304071-67.653615 216.199012 275.953611 583.649567-476.574007 69.335813 84.987568z" fill="#ffffff" p-id="2054"></path></svg>
护眼
</span>
<span data-item="haitian">
<svg t="1649761460834" class="icon" viewBox="0 0 1243 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2052" width="16" height="16"><path d="M755.093336 61.436797a511.973304 511.973304 0 1 0 207.495466 693.650688l-99.615377-53.757197a398.827204 398.827204 0 1 1-161.637286-540.351253l53.757197-99.615378z" fill="#ffffff" p-id="2053"></path><path d="M1204.971593 188.84501L534.652259 736.217612l-285.242269-364.086159 86.304071-67.653615 216.199012 275.953611 583.649567-476.574007 69.335813 84.987568z" fill="#ffffff" p-id="2054"></path></svg>
海天
</span>
<span data-item="deep">
<svg t="1649761460834" class="icon" viewBox="0 0 1243 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2052" width="16" height="16"><path d="M755.093336 61.436797a511.973304 511.973304 0 1 0 207.495466 693.650688l-99.615377-53.757197a398.827204 398.827204 0 1 1-161.637286-540.351253l53.757197-99.615378z" fill="#ffffff" p-id="2053"></path><path d="M1204.971593 188.84501L534.652259 736.217612l-285.242269-364.086159 86.304071-67.653615 216.199012 275.953611 583.649567-476.574007 69.335813 84.987568z" fill="#ffffff" p-id="2054"></path></svg>
深邃
</span>
<span data-item="dark">
<svg t="1649761460834" class="icon" viewBox="0 0 1243 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2052" width="16" height="16"><path d="M755.093336 61.436797a511.973304 511.973304 0 1 0 207.495466 693.650688l-99.615377-53.757197a398.827204 398.827204 0 1 1-161.637286-540.351253l53.757197-99.615378z" fill="#ffffff" p-id="2053"></path><path d="M1204.971593 188.84501L534.652259 736.217612l-285.242269-364.086159 86.304071-67.653615 216.199012 275.953611 583.649567-476.574007 69.335813 84.987568z" fill="#ffffff" p-id="2054"></path></svg>
暗黑
</span>
<span class="active">
<svg t="1649761460834" class="icon" viewBox="0 0 1243 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2052" width="16" height="16"><path d="M755.093336 61.436797a511.973304 511.973304 0 1 0 207.495466 693.650688l-99.615377-53.757197a398.827204 398.827204 0 1 1-161.637286-540.351253l53.757197-99.615378z" fill="#ffffff" p-id="2053"></path><path d="M1204.971593 188.84501L534.652259 736.217612l-285.242269-364.086159 86.304071-67.653615 216.199012 275.953611 583.649567-476.574007 69.335813 84.987568z" fill="#ffffff" p-id="2054"></path></svg>
=====================================================
== File: docs/document/themes/hugo-theme-learn/layouts/partials/language.html
=====================================================
{{ $currentNode := . }}
{{ $permalink := string .Permalink }}
{{ $v5 := slice "5.4.1" "5.4.0" "5.3.2" "5.3.1" "5.3.0" "5.2.1" "5.2.0" "5.1.2" "5.1.1" "5.1.0" "5.0.0"}}
{{ $v4 := slice "4.1.1" "4.1.0" "4.0.1" "4.0.0"}}
{{ $v3 := slice "3.1.0" "3.0.0"}}
{{ $v2 := slice "2.0.3" "2.0.2" "2.0.1" "2.0.0"}}
{{ $v1 := slice "1.5.4" "1.5.3" "1.5.2" "1.5.1" "1.5.0" "1.4.2" "1.4.1" "1.4.0" "1.3.3" "1.3.2" "1.3.1" "1.3.0" "1.2.1" "1.2.0" "1.1.0" "1.0.1" "1.0.0"}}
{{ $versions := slice (slice "current") $v5 $v4 $v3 $v2 $v1 }}
{{ $showvisitedlinks := .Site.Params.showVisitedLinks }}
{{ if or .Site.IsMultiLingual $showvisitedlinks }}
<section id="prefooter">
<!-- <hr/> -->
<ul>
{{ if and .Site.IsMultiLingual (not .Site.Params.DisableLanguageSwitchingButton)}}
<li>
<a class="padding">
<i class="fa fa-fw fa-tags"></i>
<div class="select-style">
<select id="select-version" onchange="location = this.value;">
{{ range $versions }}
{{ range . }}
{{ $version := . }}
<option id="{{ $version }}" value="{{ replaceRE "document/[^/]*" (printf "document/%s" $version) $permalink }}" {{ if in $permalink $version }} selected {{end}} >{{ $version }}</option>
{{ end }}
{{ end }}
<!-- <option id="legacy" value="https://shardingsphere.apache.org/legacy.html">Legacy</option> -->
</select>
<svg t="1645437162166" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2449" width="32" height="32"><path d="M483.072 714.496l30.165333 30.208 415.957334-415.829333a42.837333 42.837333 0 0 0 0-60.288 42.538667 42.538667 0 0 0-60.330667-0.042667l-355.541333 355.413333-355.242667-355.413333a42.496 42.496 0 0 0-60.288 0 42.837333 42.837333 0 0 0-0.085333 60.330667l383.701333 383.872 1.706667 1.749333z" fill="#3D3D3D" p-id="2450"></path></svg>
</div>
</a>
<a class="padding">
<i class="fa fa-fw fa-language"></i>
<div class="select-style">
<select id="select-language" onchange="location = this.value;">
{{ $siteLanguages := .Site.Languages}}
{{ $pageLang := .Page.Lang}}
{{ range .Page.AllTranslations }}
{{ $translation := .}}
{{ range $siteLanguages }}
{{ if eq $translation.Lang .Lang }}
{{ $selected := false }}
{{ if eq $pageLang .Lang}}
<option id="{{ $translation.Language }}" value="{{ $translation.URL }}" selected>{{ .LanguageName }}</option>
{{ else }}
<option id="{{ $translation.Language }}" value="{{ $translation.URL }}">{{ .LanguageName }}</option>
{{ end }}
{{ end }}
{{ end }}
{{ end }}
</select>
=====================================================
== File: docs/document/themes/hugo-theme-learn/layouts/partials/footer.html
=====================================================
{{ if .Params.chapter }}
</div> <!-- end chapter-->
{{ end }}
</div>
{{ partial "custom-comments.html" . }}
</div>
<div id="navigation">
<!-- Next prev page -->
{{ $currentNode := . }}
{{ template "menu-nextprev" dict "menu" .Site.Home "currentnode" $currentNode }}
{{ define "menu-nextprev" }}
{{$currentNode := .currentnode }}
{{ if ne .menu.Params.hidden true}}
{{if hasPrefix $currentNode.RelPermalink .menu.RelPermalink }}
{{ $currentNode.Scratch.Set "NextPageOK" "OK" }}
{{ $currentNode.Scratch.Set "prevPage" ($currentNode.Scratch.Get "prevPageTmp") }}
{{else}}
{{if eq ($currentNode.Scratch.Get "NextPageOK") "OK"}}
{{ $currentNode.Scratch.Set "NextPageOK" nil }}
{{ $currentNode.Scratch.Set "nextPage" .menu }}
{{end}}
{{end}}
{{ $currentNode.Scratch.Set "prevPageTmp" .menu }}
{{ $currentNode.Scratch.Set "pages" .menu.Pages }}
{{ if .menu.IsHome}}
{{ $currentNode.Scratch.Set "pages" .menu.Sections }}
{{ else if .menu.Sections}}
{{ $currentNode.Scratch.Set "pages" (.menu.Pages | union .menu.Sections) }}
{{end}}
{{ $pages := ($currentNode.Scratch.Get "pages") }}
{{ range $pages.ByWeight }}
{{ template "menu-nextprev" dict "menu" . "currentnode" $currentNode }}
{{end}}
{{ end }}
{{ end }}
{{$showPrevNext := (and (not .Params.disableNextPrev) (not .Site.Params.disableNextPrev))}}
{{if $showPrevNext}}
{{with ($.Scratch.Get "prevPage")}}
<a class="nav nav-prev" href="{{.RelPermalink}}" title="{{.Title}}"> <i class="fa fa-chevron-left"></i></a>
{{end}}
{{with ($.Scratch.Get "nextPage")}}
<a class="nav nav-next" href="{{.RelPermalink}}" title="{{.Title}}" style="margin-right: 0px;"><i class="fa fa-chevron-right"></i></a>
{{end}}
=====================================================
== File: docs/document/themes/hugo-theme-learn/layouts/partials/meta.html
=====================================================
<meta name="description" content="{{ with .Description }}{{ . }}{{ else }}{{ with .Site.Params.description }}{{ . }}{{ end }}{{ end }}">
{{ with .Site.Params.author }}<meta name="author" content="{{ . }}">{{ end }}
=====================================================
== File: docs/document/themes/hugo-theme-learn/layouts/partials/menu.html
=====================================================
<nav id="sidebar" class="{{if $.Site.Params.showVisitedLinks }}showVisitedLinks{{end}}">
{{ $currentNode := . }}
{{ $showvisitedlinks := .Site.Params.showVisitedLinks }}
<div id="header-wrapper">
<!-- <div id="header">
{{ partial "logo.html" . }}
</div> -->
{{if not .Site.Params.disableSearch}}
{{ partial "search.html" . }}
{{end}}
</div>
<div class="highlightable">
<div class="leftMenu">
<ul class="topics">
{{if eq .Site.Params.ordersectionsby "title"}}
{{range .Site.Home.Sections.ByTitle}}
{{ template "section-tree-nav" dict "sect" . "currentnode" $currentNode "showvisitedlinks" $showvisitedlinks}}
{{end}}
{{else}}
{{range .Site.Home.Sections.ByWeight}}
{{ template "section-tree-nav" dict "sect" . "currentnode" $currentNode "showvisitedlinks" $showvisitedlinks}}
{{end}}
{{end}}
</ul>
{{ $disableShortcutsTitle := .Site.Params.DisableShortcutsTitle}}
{{with .Site.Menus.shortcuts}}
<section id="shortcuts">
<h3>{{ if not $disableShortcutsTitle}}{{ T "Shortcuts-Title"}}{{ end }}</h3>
<ul>
{{ range sort . "Weight"}}
<li>
{{.Pre}}<a class="padding" href="{{.URL | absLangURL }}">{{safeHTML .Name}}</a>{{.Post}}
</li>
{{end}}
</ul>
</section>
{{end}}
</div>
<!-- {{ partial "language.html" . }} -->
<!-- download button -->
<!-- <hr /> -->
<!-- {{ if eq .Lang "en"}} -->
<!-- <a class="padding" href="{{"https://shardingsphere.apache.org/pdf/shardingsphere_docs_en.pdf" | absURL}}"> -->
<!--i class="fa fa-fw fa-file-pdf-o" ></i> Download PDF is a placeholder-->
=====================================================
== File: docs/document/themes/hugo-theme-learn/layouts/partials/tags.html
=====================================================
{{ if .Params.tags }}
<div class="tags">
{{range .Params.tags}}
<a class="tag-link" href="{{ "/tags/" | relLangURL }}{{ . | urlize }}">{{ . }}</a>
{{end}}
</div>
{{end}}
=====================================================
== File: docs/document/themes/hugo-theme-learn/layouts/partials/favicon.html
=====================================================
<link rel="icon" href="{{"images/favicon.png" | relURL}}" type="image/png">
=====================================================
== File: docs/document/themes/hugo-theme-learn/layouts/partials/search.html
=====================================================
<div class="searchbox">
<label for="search-by"><i class="fas fa-search"></i></label>
<input data-search-input id="search-by" type="search" placeholder="{{T "Search-placeholder"}}">
<span data-search-clear=""><i class="fas fa-times"></i></span>
</div>
{{ $assetBusting := not .Site.Params.disableAssetsBusting }}
<script type="text/javascript" src="{{"js/lunr.min.js" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}"></script>
<script type="text/javascript" src="{{"js/auto-complete.js" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}"></script>
<script type="text/javascript">
{{ if .Site.IsMultiLingual }}
var baseurl = "{{.Site.BaseURL}}{{.Site.LanguagePrefix}}";
{{ else }}
var baseurl = "{{.Site.BaseURL}}";
{{ end }}
</script>
<script type="text/javascript" src="{{"js/search.js" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}"></script>
=====================================================
== File: docs/document/themes/hugo-theme-learn/layouts/partials/menu-footer.html
=====================================================
<p>Built with <a href="https://github.com/matcornic/hugo-theme-learn"><i class="fas fa-heart"></i></a> from <a href="https://getgrav.org">Grav</a> and <a href="https://gohugo.io/">Hugo</a></p>
=====================================================
== File: docs/document/themes/hugo-theme-learn/layouts/partials/custom-footer.html
=====================================================
<!-- Partial intended to be overwritten with tags loaded at the end of the page loading (usually for Javascript)
<script>
console.log("running some javascript");
</script>
-->
=====================================================
== File: docs/document/themes/hugo-theme-learn/layouts/partials/toc.html
=====================================================
<div class="progress">
<div class="wrapper">
{{ .TableOfContents }}
</div>
</div>
=====================================================
== File: docs/document/themes/hugo-theme-learn/layouts/partials/header.html
=====================================================
<!DOCTYPE html>
<html lang="{{ .Page.Language | default "en" }}" class="js csstransforms3d">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
{{ hugo.Generator }}
{{ partial "meta.html" . }}
{{ partial "favicon.html" . }}
<title>{{ .Title }} {{ default "::" .Site.Params.titleSeparator }} {{ .Site.Title }}</title>
{{ $assetBusting := not .Site.Params.disableAssetsBusting }}
<link href="{{"css/nucleus.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
<link href="{{"css/fontawesome-all.min.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
<link href="{{"css/hybrid.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
<link href="{{"css/featherlight.min.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
<link href="{{"css/perfect-scrollbar.min.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
<link href="{{"css/auto-complete.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
<link href="{{"css/atom-one-dark-reasonable.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
<link href="{{"css/theme.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
<link href="{{"css/tabs.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
<link href="{{"css/hugo-theme.css" | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
{{with .Site.Params.themeVariant}}
<link href="{{(printf "css/theme-%s.css" .) | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
{{end}}
{{ range .Site.Params.custom_css -}}
<link href="{{(printf "%s" .) | relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}" rel="stylesheet">
{{- end }}
<script src="{{"js/jquery-3.3.1.min.js"| relURL}}{{ if $assetBusting }}?{{ now.Unix }}{{ end }}"></script>
<!-- baidu Analytics -->
<script>
var _hmt = _hmt || [];
(function() {
var hm = document.createElement("script");
hm.src = "https://hm.baidu.com/hm.js?d5a1dc8dcf63a64ee55b80de01c7fb1a";
var s = document.getElementsByTagName("script")[0];
s.parentNode.insertBefore(hm, s);
})();
</script>
<!-- Global site tag (gtag.js) - Google Analytics -->
<script async src="https://www.googletagmanager.com/gtag/js?id=G-HETCF66YL0"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){window.dataLayer.push(arguments);}
gtag('js', new Date());
gtag('config', 'G-HETCF66YL0');
</script>
<style>
=====================================================
== File: docs/document/themes/hugo-theme-learn/layouts/partials/custom-header.html
=====================================================
<!-- Partial intended to be overwritten to add custom headers, like CSS or any other info
<style type="text/css">
/* Custom css */
</style>
-->
=====================================================
== File: docs/document/themes/hugo-theme-learn/layouts/partials/custom-comments.html
=====================================================
<!-- import your comments system
{{ template "_internal/disqus.html" . }}
-->
=====================================================
== File: docs/document/themes/hugo-theme-learn/layouts/index.html
=====================================================
{{ partial "header.html" . }}
<span id="sidebar-toggle-span">
<a href="#" id="sidebar-toggle" data-sidebar-toggle=""><i class="fas fa-bars"></i> navigation</a>
</span>
{{if .Site.Home.Content }}
{{.Site.Home.Content}}
{{else}}
{{if eq .Site.Language.Lang "fr"}}
<h1>Personaliser la page d'accueil</h1>
<p>
Le site fonctionne. Ne pas oublier de personaliser cette page avec votre propre contenu. 3 manières de faire :
</p>
<ul>
<li><b>1. </b> Créer un fichier _index.md dans le dossier <b>content</b> et le remplir de Markdown</li>
<li><b>2. </b> Créer un fichier index.html dans le dossier <b>static</b> et le remplir de code HTML</li>
<li><b>3. </b> Configurer le serveur http pour rediriger automatiquement la homepage vers la page de votre choix dans le site</li>
</ul>
{{else}}
<h1>Customize your own home page</h1>
<p>
The site is working. Don't forget to customize this homepage with your own. You typically have 3 choices :
</p>
<ul>
<li><b>1. </b> Create an _index.md document in <b>content</b> folder and fill it with Markdown content</li>
<li><b>2. </b> Create an <b>index.html</b> file in the <b>static</b> folder and fill the file with HTML content</li>
<li><b>3. </b> Configure your server to automatically redirect home page to one your documentation page</li>
</ul>
{{end}}
{{ end }}
{{ partial "footer.html" . }}
=====================================================
== File: docs/document/themes/hugo-theme-learn/layouts/shortcodes/notice.html
=====================================================
{{ $_hugo_config := `{ "version": 1 }` }}
<div class="notices {{ .Get 0 }}" {{ if len .Params | eq 2 }} id="{{ .Get 1 }}" {{ end }}>{{ .Inner }}</div>
=====================================================
== File: docs/document/themes/hugo-theme-learn/layouts/shortcodes/ref.html
=====================================================
{{- if in (.Get 0) "/_index.md" -}}
{{- $paths := (split (.Get 0) "_index.md") -}}
{{- $pagepath := index $paths 0 -}}
{{- $anchor := index $paths 1 -}}
{{- with .Site.GetPage "section" (trim $pagepath "/") -}}
{{- ( printf "%s%s" $pagepath $anchor ) | relLangURL -}}
{{- end -}}
{{- else -}}
{{- with .Site.GetPage "section" (.Get 0) }}
{{- .RelPermalink -}}
{{- else -}}
{{- .Get 0 | relref .Page -}}
{{- end -}}
{{- end -}}
=====================================================
== File: docs/document/themes/hugo-theme-learn/layouts/shortcodes/tab.html
=====================================================
{{ if .Parent }}
{{ $name := trim (.Get "name") " " }}
{{ if not (.Parent.Scratch.Get "tabs") }}
{{ .Parent.Scratch.Set "tabs" slice }}
{{ end }}
{{ with .Inner }}
{{ $.Parent.Scratch.Add "tabs" (dict "name" $name "content" . ) }}
{{ end }}
{{ else }}
{{- errorf "[%s] %q: tab shortcode missing its parent" site.Language.Lang .Page.Path -}}
{{ end}}
=====================================================
== File: docs/document/themes/hugo-theme-learn/layouts/shortcodes/attachments.html
=====================================================
{{ $_hugo_config := `{ "version": 1 }` -}}
<section class="attachments {{ with .Get "style"}}{{.}}{{ end }}">
<label>
<i class="fas fa-paperclip" aria-hidden="true"></i>
{{with .Get "title"}}{{.}}{{else}}{{T "Attachments-label"}}{{end}}
</label>
<div class="attachments-files">
{{- $filesName := "files" }}
{{- if ne .Page.File.BaseFileName "index" }}
{{- $filesName = printf "%s.files" .Page.File.BaseFileName }}
{{- end}}
{{- $fileDir := replace .Page.File.Dir "\\" "/" }}
{{- $pattern := .Get "pattern" | default "" }}
{{- range (readDir (printf "content/%s%s" .Page.File.Dir $filesName) ) }}
{{- if findRE $pattern .Name}}
{{- $size := .Size }}
{{- $unit := "Byte" }}
{{- if ge $size 1024 }}
{{- $size = div $size 1024 }}
{{- $unit = "Kilobyte" }}
{{- end}}
{{- if ge $size 1024 }}
{{- $size = div $size 1024 }}
{{- $unit = "Megabyte" }}
{{- end}}
<li>
<a href="{{ (printf "%s%s/%s" $fileDir $filesName .Name) | relLangURL }}">{{.Name}}</a>
({{$size}} {{T (print $unit "-symbol")}})
</li>
{{- end}}
{{- end}}
</div>
{{- .Inner}}
</section>
=====================================================
== File: docs/document/themes/hugo-theme-learn/layouts/shortcodes/children.html
=====================================================
{{ $_hugo_config := `{ "version": 1 }` }}
{{ $showhidden := .Get "showhidden"}}
{{ $style := .Get "style" | default "li" }}
{{ $depth := .Get "depth" | default 1 }}
{{ $withDescription := .Get "description" | default false }}
{{ $sortTerm := .Get "sort" | default "Weight" }}
<ul class="children children-{{$style}}">
{{ .Scratch.Set "pages" .Page.Pages }}
{{if .Page.IsHome}}
<!-- Add pages that are in root dir -->
{{ $rootPage := where .Page.Pages "Dir" "" }}
{{ .Scratch.Set "pages" (.Page.Sections | union $rootPage)}}
{{else}}
{{ if .Page.Sections}}
{{ .Scratch.Set "pages" (.Page.Pages | union .Page.Sections) }}
{{end}}
{{end}}
{{ $pages := (.Scratch.Get "pages") }}
{{if eq $sortTerm "Weight"}}
{{template "childs" dict "menu" $pages.ByWeight "style" $style "showhidden" $showhidden "count" 1 "depth" $depth "pages" .Site.Pages "description" $withDescription "sortTerm" $sortTerm}}
{{else if eq $sortTerm "Name"}}
{{template "childs" dict "menu" $pages.ByTitle "style" $style "showhidden" $showhidden "count" 1 "depth" $depth "pages" .Site.Pages "description" $withDescription "sortTerm" $sortTerm}}
{{else if eq $sortTerm "PublishDate"}}
{{template "childs" dict "menu" $pages.ByPublishDate "style" $style "showhidden" $showhidden "count" 1 "depth" $depth "pages" .Site.Pages "description" $withDescription "sortTerm" $sortTerm}}
{{else if eq $sortTerm "Date"}}
{{template "childs" dict "menu" $pages.ByDate "style" $style "showhidden" $showhidden "count" 1 "depth" $depth "pages" .Site.Pages "description" $withDescription "sortTerm" $sortTerm}}
{{else if eq $sortTerm "Length"}}
{{template "childs" dict "menu" $pages.ByLength "style" $style "showhidden" $showhidden "count" 1 "depth" $depth "pages" .Site.Pages "description" $withDescription "sortTerm" $sortTerm}}
{{else}}
{{template "childs" dict "menu" $pages "style" $style "showhidden" $showhidden "count" 1 "depth" $depth "pages" .Site.Pages "description" $withDescription "sortTerm" $sortTerm}}
{{end}}
</ul>
{{ define "childs" }}
{{ range .menu }}
{{ if and .Params.hidden (not $.showhidden) }}
{{else}}
{{if not .IsHome}}
{{if hasPrefix $.style "h"}}
{{$num := sub ( int (trim $.style "h") ) 1 }}
{{$numn := add $num $.count }}
{{(printf "<h%d>" $numn)|safeHTML}}
<a href="{{.RelPermalink}}" >{{ .Title }}</a>
{{(printf "</h%d>" $numn)|safeHTML}}
=====================================================
== File: docs/document/themes/hugo-theme-learn/layouts/shortcodes/button.html
=====================================================
{{ $_hugo_config := `{ "version": 1 }` }}
<a {{ with .Get "href"}} href="{{.}}" target="_blank" {{ end }} class="btn btn-default">
{{ $icon := .Get "icon" }}
{{ $iconposition := .Get "icon-position" }}
{{ if ($icon) }}
{{ if or (not ($iconposition)) (eq $iconposition "left") }}
<i class="{{$icon}}"></i>
{{ end }}
{{ end }}
{{ .Inner }}
{{ if and ($icon) (eq $iconposition "right")}}
<i class="{{$icon}}"></i>
{{ end }}
</a>
=====================================================
== File: docs/document/themes/hugo-theme-learn/layouts/shortcodes/mermaid.html
=====================================================
{{ $_hugo_config := `{ "version": 1 }` }}
<div class="mermaid" align="{{ if .Get "align" }}{{ .Get "align" }}{{ else }}center{{ end }}">{{ safeHTML .Inner }}</div>
=====================================================
== File: docs/document/themes/hugo-theme-learn/layouts/shortcodes/expand.html
=====================================================
{{ $_hugo_config := `{ "version": 1 }` }}
<div class="expand">
<div class="expand-label" style="cursor: pointer;" onclick="$h = $(this);$h.next('div').slideToggle(100,function () {$h.children('i').attr('class',function () {return $h.next('div').is(':visible') ? 'fas fa-chevron-down' : 'fas fa-chevron-right';});});">
<i style="font-size:x-small;" class="fas fa-chevron-right"></i>
<span>
{{$expandMessage := T "Expand-title"}}
{{ if .IsNamedParams }}
{{.Get "default" | default $expandMessage}}
{{else}}
{{.Get 0 | default $expandMessage}}
{{end}}
</span>
</div>
<div class="expand-content" style="display: none;">
{{.Inner | safeHTML}}
</div>
</div>
=====================================================
== File: docs/document/themes/hugo-theme-learn/layouts/shortcodes/relref.html
=====================================================
{{- if in (.Get 0) "/_index.md" -}}
{{- $paths := (split (.Get 0) "_index.md") -}}
{{- $pagepath := index $paths 0 -}}
{{- $anchor := index $paths 1 -}}
{{- with .Site.GetPage "section" (trim $pagepath "/") -}}
{{- ( printf "%s%s" $pagepath $anchor ) | relLangURL -}}
{{- end -}}
{{- else -}}
{{- with .Site.GetPage "section" (.Get 0) }}
{{- .RelPermalink -}}
{{- else -}}
{{- .Get 0 | relref .Page -}}
{{- end -}}
{{- end -}}
=====================================================
== File: docs/document/themes/hugo-theme-learn/layouts/shortcodes/tabs.html
=====================================================
{{ with .Inner }}{{/* don't do anything, just call it */}}{{ end }}
{{ $groupId := default "default" (.Get "groupId") }}
<div class="tab-panel">
<div class="tab-nav">
{{ range $idx, $tab := .Scratch.Get "tabs" }}
<button
data-tab-item="{{ .name }}"
data-tab-group="{{ $groupId }}"
class="tab-nav-button btn {{ cond (eq $idx 0) "active" ""}}"
onclick="switchTab('{{ $groupId }}','{{ .name }}')"
>{{ .name }}</button>
{{ end }}
</div>
<div class="tab-content">
{{ range $idx, $tab := .Scratch.Get "tabs" }}
<div data-tab-item="{{ .name }}" data-tab-group="{{ $groupId }}" class="tab-item {{ cond (eq $idx 0) "active" ""}}">
{{ .content }}
</div>
{{ end }}
</div>
</div>
=====================================================
== File: docs/document/themes/hugo-theme-learn/layouts/shortcodes/siteparam.html
=====================================================
{{- $paramName := (.Get 0) -}}
{{- $siteParams := .Site.Params -}}
{{- with $paramName -}}
{{- with $siteParams -}}
{{- index . (lower $paramName) -}}
{{- end -}}
{{- end -}}
=====================================================
== File: docs/document/themes/hugo-theme-learn/i18n/de.toml
=====================================================
[Search-placeholder]
other = "Suchen..."
[Clear-History]
other = "Verlauf löschen"
[Attachments-label]
other = "Anhänge"
[title-404]
other = "Fehler"
[message-404]
other = "Huch. Diese Seite scheint nicht zu existieren ¯\\_(ツ)_/¯."
[Go-to-homepage]
other = "Gehe zur Homepage"
[Edit-this-page]
other = "Bearbeite diese Seite"
[Shortcuts-Title]
other = "Mehr"
[Expand-title]
other = "Erweitere mich..."
[Byte-symbol]
other = "B"
[Kilobyte-symbol]
other = "KB"
[Megabyte-symbol]
other = "MB"
=====================================================
== File: docs/document/themes/hugo-theme-learn/i18n/id.toml
=====================================================
[Search-placeholder]
other = "Telusuri..."
[Clear-History]
other = "Bersihkan Riwayat"
[Attachments-label]
other = "Lampiran"
[title-404]
other = "Kesalahan"
[message-404]
other = "Oops. Sepertinya halaman ini tidak ada ¯\\_(ツ)_/¯."
[Go-to-homepage]
other = "Ke halaman depan"
[Edit-this-page]
other = "Edit halaman ini"
[Shortcuts-Title]
other = "Lainnya"
[Expand-title]
other = "Bentangkan..."
[Byte-symbol]
other = "B"
[Kilobyte-symbol]
other = "KB"
[Megabyte-symbol]
other = "MB"
=====================================================
== File: docs/document/themes/hugo-theme-learn/i18n/tr.toml
=====================================================
[Search-placeholder]
other = "Ara..."
[Clear-History]
other = "Geçmişi Temizle"
[Attachments-label]
other = "Ekler"
[title-404]
other = "Hata"
[message-404]
other = "Uups. Görünüşe göre böyle bir sayfa yok ¯\\_(ツ)_/¯"
[Go-to-homepage]
other = "Anasayfaya dön"
[Edit-this-page]
other = "Sayfayı düzenle"
[Shortcuts-Title]
other = "Dahası Var"
[Expand-title]
other = "Genişlet..."
[Byte-symbol]
other = "B"
[Kilobyte-symbol]
other = "KB"
[Megabyte-symbol]
other = "MB"
=====================================================
== File: docs/document/themes/hugo-theme-learn/i18n/pt.toml
=====================================================
[Search-placeholder]
other = "Procurar..."
[Clear-History]
other = "Limpar Histórico"
[Attachments-label]
other = "Anexos"
[title-404]
other = "Erro"
[message-404]
other = "Ops. Parece que a página não existe ¯\\_(ツ)_/¯."
[Go-to-homepage]
other = "Ir para o início"
[Edit-this-page]
other = "Editar esta página"
[Shortcuts-Title]
other = "Mais"
[Expand-title]
other = "Expandir..."
[Byte-symbol]
other = "B"
[Kilobyte-symbol]
other = "KB"
[Megabyte-symbol]
other = "MB"
=====================================================
== File: docs/document/themes/hugo-theme-learn/i18n/nl.toml
=====================================================
[Search-placeholder]
other = "Zoeken..."
[Clear-History]
other = "Wis geschiedenis"
[Attachments-label]
other = "Bijlagen"
[title-404]
other = "Error"
[message-404]
other = "Blijkbaar bestaat deze pagina niet ¯\\_(ツ)_/¯."
[Go-to-homepage]
other = "Naar startpagina"
[Edit-this-page]
other = "Deze pagina bewerken"
[Shortcuts-Title]
other = "Snelkoppelingen"
[Expand-title]
other = "Lees meer..."
[Byte-symbol]
other = "B"
[Kilobyte-symbol]
other = "KB"
[Megabyte-symbol]
other = "MB"
=====================================================
== File: docs/document/themes/hugo-theme-learn/i18n/ar.toml
=====================================================
[Search-placeholder]
other = "...البحث"
[Clear-History]
other = "مسح السجل"
[Attachments-label]
other = "مرفقات"
[title-404]
other = "خطأ"
[message-404]
other = ".¯\\_(ツ)_/¯أوبس. يبدو أن هذه الصفحة غير موجودة"
[Go-to-homepage]
other = "الذهاب إلى الصفحة الرئيسية"
[Edit-this-page]
other = "تعديل هذه الصفحة"
[Shortcuts-Title]
other = "المزيد"
[Expand-title]
other = "...قم بتوسيع"
[Byte-symbol]
other = "B"
[Kilobyte-symbol]
other = "KB"
[Megabyte-symbol]
other = "MB"
=====================================================
== File: docs/document/themes/hugo-theme-learn/i18n/en.toml
=====================================================
[Search-placeholder]
other = "Search..."
[Clear-History]
other = "Clear History"
[Attachments-label]
other = "Attachments"
[title-404]
other = "Error"
[message-404]
other = "Woops. Looks like this page doesn't exist ¯\\_(ツ)_/¯."
[Go-to-homepage]
other = "Go to homepage"
[Edit-this-page]
other = "Edit this page"
[Shortcuts-Title]
other = "More"
[Expand-title]
other = "Expand me..."
[Byte-symbol]
other = "B"
[Kilobyte-symbol]
other = "KB"
[Megabyte-symbol]
other = "MB"
=====================================================
== File: docs/document/themes/hugo-theme-learn/i18n/fr.toml
=====================================================
[Search-placeholder]
other = "Rechercher..."
[Clear-History]
other = "Supprimer l'historique"
[Attachments-label]
other = "Pièces jointes"
[title-404]
other = "Erreur"
[message-404]
other = "Oups. On dirait que cette page n'existe pas ¯\\_(ツ)_/¯"
[Go-to-homepage]
other = "Vers la page d'accueil"
[Edit-this-page]
other = "Modifier la page"
[Shortcuts-Title]
other = "Aller plus loin"
[Expand-title]
other = "Déroulez-moi..."
[Byte-symbol]
other = "o"
[Kilobyte-symbol]
other = "ko"
[Megabyte-symbol]
other = "Mo"
=====================================================
== File: docs/document/themes/hugo-theme-learn/i18n/es.toml
=====================================================
[Search-placeholder]
other = "Buscar..."
[Clear-History]
other = "Borrar Historial"
[Attachments-label]
other = "Adjuntos"
[title-404]
other = "Error"
[message-404]
other = "Ups. Parece que la página no existe ¯\\_(ツ)_/¯."
[Go-to-homepage]
other = "Ir al inicio"
[Edit-this-page]
other = "Editar esta página"
[Shortcuts-Title]
other = "Más"
[Expand-title]
other = "Expandir..."
[Byte-symbol]
other = "B"
[Kilobyte-symbol]
other = "KB"
[Megabyte-symbol]
other = "MB"
=====================================================
== File: docs/document/themes/hugo-theme-learn/i18n/vn.toml
=====================================================
[Search-placeholder]
other = "Tìm kiếm..."
[Clear-History]
other = "Xóa lịch sử.."
[Attachments-label]
other = "Tập tin đính kèm"
[title-404]
other = "Lỗi"
[message-404]
other = "Tiếc quá! Có vẻ như trang này không tồn tại ¯\\_(ツ)_/¯."
[Go-to-homepage]
other = "Đi đến trang chủ"
[Edit-this-page]
other = "Chỉnh sửa trang này"
[Shortcuts-Title]
other = "Nội dung khác"
[Expand-title]
other = "Mở rộng..."
[BinaryPrefix-kilobyte]
other = "kb"
[Byte-symbol]
other = "B"
[Kilobyte-symbol]
other = "KB"
[Megabyte-symbol]
other = "MB"
[note]
other = "Ghi chú"
[info]
other = "Thông tin"
[tip]
other = "Mẹo vặt"
[warning]
other = "Cảnh báo"
=====================================================
== File: docs/document/themes/hugo-theme-learn/i18n/ja.toml
=====================================================
[Search-placeholder]
other = "検索..."
[Clear-History]
other = "履歴削除"
[Attachments-label]
other = "添付"
[title-404]
other = "エラー"
[message-404]
other = "おっと。ページが見当たりません。 ¯\\_(ツ)_/¯."
[Go-to-homepage]
other = "ホームページへ行く"
[Edit-this-page]
other = "このページを編集"
[Shortcuts-Title]
other = "更に"
[Expand-title]
other = "開く..."
[Byte-symbol]
other = "B"
[Kilobyte-symbol]
other = "KB"
[Megabyte-symbol]
other = "MB"
=====================================================
== File: docs/document/themes/hugo-theme-learn/i18n/hi.toml
=====================================================
[Search-placeholder]
other = "खोजे..."
[Clear-History]
other = "इतिहास मिटाएँ"
[Attachments-label]
other = "संलग्नंक (अटैचमेंट)"
[title-404]
other = "त्रुटि"
[message-404]
other = "यह पृष्ठ अभि अनुपलब्ध है!"
[Go-to-homepage]
other = "मुख्य पृष्ठ पर जाऐ"
[Edit-this-page]
other = "यह पृष्ठ संपादित करें"
[Shortcuts-Title]
other = "अधिक सामग्री दिखाएं"
[Expand-title]
other = "विस्तार करे..."
[Byte-symbol]
other = "B"
[Kilobyte-symbol]
other = "KB"
[Megabyte-symbol]
other = "MB"
=====================================================
== File: docs/document/themes/hugo-theme-learn/netlify.toml
=====================================================
[build]
publish = "exampleSite/public"
command = "hugo -s exampleSite"
[build.environment]
HUGO_THEME = "repo"
HUGO_THEMESDIR = "/opt/build"
HUGO_VERSION = "0.72.0"
[context.production.environment]
HUGO_BASEURL = "https://learn.netlify.app/"
[context.deploy-preview]
command = "hugo -s exampleSite -b $DEPLOY_PRIME_URL"
[context.deploy-preview.environment]
HUGO_ENABLEGITINFO = "true"
[context.branch-deplpy]
command = "hugo -s exampleSite -b $DEPLOY_PRIME_URL"
[context.branch-deploy.environment]
HUGO_ENABLEGITINFO = "true"
=====================================================
== File: docs/document/themes/hugo-theme-learn/CHANGELOG.md
=====================================================
# Changelog
## v2.5.0 (01/06/2020)
#### New features
- [**feature**] Allow custom css files to be loaded by configuration [#376](https://github.com/matcornic/hugo-theme-learn/pull/376)
- [**feature**] Added flag to turn off image featherlight [#333](https://github.com/matcornic/hugo-theme-learn/pull/333)
#### Bug Fixes
- [**bug**] fix null pointer when no params on image url [#383](https://github.com/matcornic/hugo-theme-learn/pull/383)
- [**bug**] can't give argument to non-function not .Params.hidden [#403](https://github.com/matcornic/hugo-theme-learn/pull/403)
- [**bug**] Fix .File.UniqueID on zero object warning [#372](https://github.com/matcornic/hugo-theme-learn/pull/372)
- [**bug**] fix select option color in Chrome [#345](https://github.com/matcornic/hugo-theme-learn/pull/345)
- [**bug**] remove unneeded spaces from HTML [#320](https://github.com/matcornic/hugo-theme-learn/pull/320)
- [**bug**] Avoid displaying hidden sections in menu [#354](https://github.com/matcornic/hugo-theme-learn/pull/354)
#### Enhancements
- [**enhancement**] Updated theme installation documentation link. [#390](https://github.com/matcornic/hugo-theme-learn/pull/390)
- [**enhancement**] [ImgBot] Optimize images [#366](https://github.com/matcornic/hugo-theme-learn/pull/366)
- [**enhancement**] fix extra spaces in the description [#339](https://github.com/matcornic/hugo-theme-learn/pull/339)
- [**enhancement**] change to minified 'autocomplete.js' for improved performance [#321](https://github.com/matcornic/hugo-theme-learn/pull/321)
#### Internationalisation
- [**i18n**] Fix: typos [#343](https://github.com/matcornic/hugo-theme-learn/pull/343)
- [**i18n**] Fix: typo [#342](https://github.com/matcornic/hugo-theme-learn/pull/342)
- [**i18n**] Incorrect english in notice documentation [#336](https://github.com/matcornic/hugo-theme-learn/pull/336)
- [**i18n**] Add Chinese language for this theme [#349](https://github.com/matcornic/hugo-theme-learn/pull/349)
- [**i18n**] Add jp and zh cn [#335](https://github.com/matcornic/hugo-theme-learn/pull/335)
- [**i18n**] Added Russian translation [#332](https://github.com/matcornic/hugo-theme-learn/pull/332)
#### Theme Meta
- [**meta**] Fix various linting warnings [#405](https://github.com/matcornic/hugo-theme-learn/pull/405)
- [**meta**] Netlify build on 0.66.0 [#377](https://github.com/matcornic/hugo-theme-learn/pull/377)
- [**meta**] add inteliver documentation showcase [#331](https://github.com/matcornic/hugo-theme-learn/pull/331)
---
## v2.4.0 (04/09/2019)
#### Bug Fixes
- [**bug**] correct GitHub capitalization [#293](https://github.com/matcornic/hugo-theme-learn/pull/293)
- [**bug**] fix 'locate' typo [#285](https://github.com/matcornic/hugo-theme-learn/pull/285)
- [**bug**] Remove reference to the unused horsey CSS [#284](https://github.com/matcornic/hugo-theme-learn/pull/284)
- [**bug**] Fix invalid HTML in 404 template. [#271](https://github.com/matcornic/hugo-theme-learn/pull/271)
=====================================================
== File: docs/document/themes/hugo-theme-learn/wercker.yml
=====================================================
box: golang
build:
steps:
# Gets the dependencies
- script:
name: get hugo
code: |
git clone https://github.com/gohugoio/hugo.git && cd hugo && go install
# Sets the go workspace and places you package
# at the right place in the workspace tree
- setup-go-workspace
# Build the project
- script:
name: build site
code: |
cd exampleSite && hugo
=====================================================
== File: docs/document/themes/hugo-theme-learn/archetypes/chapter.md
=====================================================
+++
title = "{{ replace .Name "-" " " | title }}"
date = {{ .Date }}
weight = 5
chapter = true
pre = "<b>X. </b>"
+++
### Chapter X
# Some Chapter title
Lorem Ipsum.
=====================================================
== File: docs/document/themes/hugo-theme-learn/archetypes/default.md
=====================================================
+++
title = "{{ replace .Name "-" " " | title }}"
date = {{ .Date }}
weight = 5
+++
Lorem Ipsum.
=====================================================
== File: docs/document/i18n/cn.toml
=====================================================
[Search-placeholder]
other = "Search..."
[Clear-History]
other = "Clear History"
[Attachments-label]
other = "Attachments"
[title-404]
other = "Error"
[message-404]
other = "Woops. Looks like this page doesn't exist ¯\\_(ツ)_/¯."
[Go-to-homepage]
other = "Go to homepage"
[Edit-this-page]
other = "Edit this page"
[Shortcuts-Title]
other = "More"
[Expand-title]
other = "Expand me..."
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/observability/_index.cn.md
=====================================================
+++
title = "可观察性"
weight = 7
+++
## Agent
### 源码编译
从 Github 下载 Apache ShardingSphere 源码，对源码进行编译，操作命令如下。
```shell
git clone --depth 1 https://github.com/apache/shardingsphere.git
cd shardingsphere
mvn clean install -DskipITs -DskipTests -Prelease
```
Agent 制品 `distribution/agent/target/apache-shardingsphere-${latest.release.version}-shardingsphere-agent-bin.tar.gz`
### 目录说明
创建 agent 目录，解压 agent 二进制包到 agent 目录。
```shell
mkdir agent
tar -zxvf apache-shardingsphere-${latest.release.version}-shardingsphere-agent-bin.tar.gz -C agent
cd agent
tree
├── LICENSE
├── NOTICE
├── conf
│ └── agent.yaml
├── plugins
│ ├── lib
│ │ ├── shardingsphere-agent-metrics-core-${latest.release.version}.jar
│ │ └── shardingsphere-agent-plugin-core-${latest.release.version}.jar
│ ├── logging
│ │ └── shardingsphere-agent-logging-file-${latest.release.version}.jar
│ ├── metrics
│ │ └── shardingsphere-agent-metrics-prometheus-${latest.release.version}.jar
│ └── tracing
│ ├── shardingsphere-agent-tracing-opentelemetry-${latest.release.version}.jar
└── shardingsphere-agent-${latest.release.version}.jar
```
### 配置说明
`conf/agent.yaml` 用于管理 agent 配置。内置插件包括 File、Prometheus、OpenTelemetry。
```yaml
plugins:
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/observability/_index.en.md
=====================================================
+++
title = "Observability"
weight = 7
+++
## Agent
### Compile source code
Download Apache ShardingSphere from GitHub,Then compile.
```shell
git clone --depth 1 https://github.com/apache/shardingsphere.git
cd shardingsphere
mvn clean install -DskipITs -DskipTests -Prelease
```
Agent artifact is `distribution/agent/target/apache-shardingsphere-${latest.release.version}-shardingsphere-agent-bin.tar.gz`
### Directory structure
Create agent directory, and unzip agent distribution package to the directory.
```shell
mkdir agent
tar -zxvf apache-shardingsphere-${latest.release.version}-shardingsphere-agent-bin.tar.gz -C agent
cd agent
tree
├── LICENSE
├── NOTICE
├── conf
│ └── agent.yaml
├── plugins
│ ├── lib
│ │ ├── shardingsphere-agent-metrics-core-${latest.release.version}.jar
│ │ └── shardingsphere-agent-plugin-core-${latest.release.version}.jar
│ ├── logging
│ │ └── shardingsphere-agent-logging-file-${latest.release.version}.jar
│ ├── metrics
│ │ └── shardingsphere-agent-metrics-prometheus-${latest.release.version}.jar
│ └── tracing
│ ├── shardingsphere-agent-tracing-opentelemetry-${latest.release.version}.jar
└── shardingsphere-agent-${latest.release.version}.jar
```
### Configuration
`conf/agent.yaml` is used to manage agent configuration.
Built-in plugins include File, Prometheus, OpenTelemetry.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/_index.cn.md
=====================================================
+++
pre = "<b>4.1. </b>"
title = "ShardingSphere-JDBC"
weight = 1
chapter = true
+++
配置是 ShardingSphere-JDBC 中唯一与应用开发者交互的模块，通过它可以快速清晰的理解 ShardingSphere-JDBC 所提供的功能。
本章节是 ShardingSphere-JDBC 的配置参考手册，需要时可当做字典查阅。
ShardingSphere-JDBC 提供了 2 种配置方式，用于不同的使用场景。
通过配置，应用开发者可以灵活的使用数据分片、读写分离、数据加密、影子库等功能，并且能够叠加使用。
混合规则配置与单一规则配置一脉相承，只是从配置单一的规则项到配置多个规则项的异同。
需要注意的是，规则项之间的叠加使用是通过数据源名称和表名称关联的。
如果前一个规则是面向数据源聚合的，下一个规则在配置数据源时，则需要使用前一个规则配置的聚合后的逻辑数据源名称；
同理，如果前一个规则是面向表聚合的，下一个规则在配置表时，则需要使用前一个规则配置的聚合后的逻辑表名称。
更多使用细节请参见[使用示例](https://github.com/apache/shardingsphere/tree/master/examples/shardingsphere-jdbc-example-generator)。
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/graalvm-native-image/_index.cn.md
=====================================================
+++
title = "GraalVM Native Image"
weight = 8
chapter = true
+++
## 背景信息
ShardingSphere JDBC 已在 GraalVM Native Image 下完成可用性验证。
构建包含 `org.apache.shardingsphere:shardingsphere-jdbc:${shardingsphere.version}` 的 Maven 依赖的 GraalVM Native
Image，你需要借助于 GraalVM Native Build Tools。GraalVM Native Build Tools 提供了 Maven Plugin 和 Gradle Plugin 来简化 GraalVM
CE 的 `native-image` 命令行工具的长篇大论的 shell 命令。
ShardingSphere JDBC 要求在如下或更高版本的 `GraalVM CE` 完成构建 GraalVM Native Image。使用者可通过 SDKMAN! 快速切换 JDK。这同理
适用于 `Oracle GraalVM`， `Liberica Native Image Kit` 和 `Mandrel` 等 `GraalVM CE` 的下游发行版。
- GraalVM CE 23.1.2 For JDK 21.0.2，对应于 SDKMAN! 的 `21.0.2-graalce`
- GraalVM CE 24.0.0 For JDK 22，对应于 SDKMAN! 的 `22-graalce`
### Maven 生态
使用者需要主动使用 GraalVM Reachability Metadata 中央仓库。
如下配置可供参考，以配置项目额外的 Maven Profiles，以 GraalVM Native Build Tools 的文档为准。
```xml
<project>
<dependencies>
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-jdbc</artifactId>
<version>${shardingsphere.version}</version>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.graalvm.buildtools</groupId>
<artifactId>native-maven-plugin</artifactId>
<version>0.10.1</version>
<extensions>true</extensions>
<configuration>
<buildArgs>
<buildArg>-H:+AddAllCharsets</buildArg>
</buildArgs>
</configuration>
<executions>
<execution>
<id>build-native</id>
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/graalvm-native-image/_index.en.md
=====================================================
+++
title = "GraalVM Native Image"
weight = 8
chapter = true
+++
## Background Information
ShardingSphere JDBC has been validated for availability under GraalVM Native Image.
Build GraalVM Native containing Maven dependencies of `org.apache.shardingsphere:shardingsphere-jdbc:${shardingsphere.version}`
Image, you need to resort to GraalVM Native Build Tools. GraalVM Native Build Tools provides Maven Plugin and Gradle Plugin
to simplify long list of shell commands for GraalVM CE's `native-image` command line tool.
ShardingSphere JDBC requires GraalVM Native Image to be built with GraalVM CE as follows or higher. Users can quickly switch
JDK through `SDKMAN!`. Same reason applicable to downstream distributions of `GraalVM CE` such as `Oracle GraalVM`, `Liberica Native Image Kit`
and `Mandrel`.
- GraalVM CE 23.1.2 For JDK 21.0.2, corresponding to `21.0.2-graalce` of SDKMAN!
- GraalVM CE 24.0.0 For JDK 22, corresponding to `22-graalce` of SDKMAN!
### Maven Ecology
Users need to actively use the GraalVM Reachability Metadata central repository.
The following configuration is for reference to configure additional Maven Profiles for the project,
and the documentation of GraalVM Native Build Tools shall prevail.
```xml
<project>
<dependencies>
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-jdbc</artifactId>
<version>${shardingsphere.version}</version>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.graalvm.buildtools</groupId>
<artifactId>native-maven-plugin</artifactId>
<version>0.10.1</version>
<extensions>true</extensions>
<configuration>
<buildArgs>
<buildArg>-H:+AddAllCharsets</buildArg>
</buildArgs>
</configuration>
<executions>
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/unsupported.en.md
=====================================================
+++
title = "Unsupported Items"
weight = 6
+++
## DataSource Interface
* Do not support timeout related operations
## Connection Interface
* Do not support operations of stored procedure, function and cursor
* Do not support native SQL
* Do not support savepoint related operations
* Do not support Schema/Catalog operation
* Do not support self-defined type mapping
## Statement and PreparedStatement Interface
* Do not support statements that return multiple result sets (stored procedures, multiple pieces of non-SELECT data)
* Do not support the operation of international characters
## ResultSet Interface
* Do not support getting result set pointer position
* Do not support changing result pointer position through none-next method
* Do not support revising the content of result set
* Do not support acquiring international characters
* Do not support getting Array
## JDBC 4.1
* Do not support new functions of JDBC 4.1 interface
For all the unsupported methods, please read `org.apache.shardingsphere.driver.jdbc.unsupported` package.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/_index.en.md
=====================================================
+++
pre = "<b>4.1. </b>"
title = "ShardingSphere-JDBC"
weight = 1
chapter = true
+++
Configuration is the only module in ShardingSphere-JDBC that interacts with application developers,
through which developers can quickly and clearly understand the functions provided by ShardingSphere-JDBC.
This chapter is a configuration manual for ShardingSphere-JDBC, which can also be referred to as a dictionary if necessary.
ShardingSphere-JDBC has provided 2 kinds of configuration methods for different situations.
By configuration, application developers can flexibly use data sharding, readwrite-splitting, data encryption, shadow database or the combination of them.
Mixed rule configurations are very similar to single rule configuration, except for the differences from single rule to multiple rules.
It should be noted that the superposition between rules are data source and table name related.
If the previous rule is data source oriented aggregation, the next rule needs to use the aggregated logical data source name configured by the previous rule when configuring the data source;
Similarly, if the previous rule is table oriented aggregation, the next rule needs to use the aggregated logical table name configured by the previous rule when configuring the table.
Please refer to [Example](https://github.com/apache/shardingsphere/tree/master/examples/shardingsphere-jdbc-example-generator) for more details.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/yaml-config/rules/sql-parser.en.md
=====================================================
+++
title = "SQL-parser"
weight = 8
+++
## Background
The SQL parser YAML configuration is readable and easy to use. The YAML files allow you to separate the code from the configuration, and easily modify the configuration file as needed.
## Parameters
```yaml
sqlParser:
sqlStatementCache: # SQL statement local cache
initialCapacity: # Initial capacity of local cache
maximumSize: # Maximum capacity of local cache
parseTreeCache: # Parse tree local cache
initialCapacity: # Initial capacity of local cache
maximumSize: # Maximum capacity of local cache
```
## Procedure
1. Set local cache configuration.
2. Set parser configuration.
3. Use a parsing engine to parse SQL.
## Sample
```yaml
sqlParser:
sqlStatementCache:
initialCapacity: 2000
maximumSize: 65535
parseTreeCache:
initialCapacity: 128
maximumSize: 1024
```
## Related References
- [JAVA API: SQL Parsing](/en/user-manual/shardingsphere-jdbc/java-api/rules/sql-parser/)
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/yaml-config/rules/transaction.en.md
=====================================================
+++
title = "Distributed Transaction"
weight = 4
+++
## Background
ShardingSphere provides three modes for distributed transactions `LOCAL`, `XA`, `BASE`.
## Parameters
```yaml
transaction:
defaultType: # Transaction mode, optional value LOCAL/XA/BASE
providerType: # Specific implementation of the mode
```
## Procedure
### Use LOCAL Mode
The content of the global.yaml configuration file is as follows:
```yaml
transaction:
defaultType: LOCAL
```
### Use XA Mode
The content of the global.yaml configuration file is as follows:
```yaml
transaction:
defaultType: XA
providerType: Narayana/Atomikos
```
To manually add Narayana-related dependencies:
```
jta-5.12.7.Final.jar
arjuna-5.12.7.Final.jar
common-5.12.7.Final.jar
jboss-connector-api_1.7_spec-1.0.0.Final.jar
jboss-logging-3.2.1.Final.jar
jboss-transaction-api_1.2_spec-1.0.0.Alpha3.jar
jboss-transaction-spi-7.6.1.Final.jar
narayana-jts-integration-5.12.7.Final.jar
shardingsphere-transaction-xa-narayana-x.x.x-SNAPSHOT.jar
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/yaml-config/rules/sql-translator.en.md
=====================================================
+++
title = "SQL Translator"
weight = 9
+++
## Background
The SQL translator YAML configuration is readable and easy to use. The YAML files allow you to separate the code from the configuration, and easily modify the configuration file as needed.
## Parameters
```yaml
sqlTranslator:
type: # SQL translator type
useOriginalSQLWhenTranslatingFailed: # Whether use original SQL when translating failed
```
## Procedure
1. Set SQL translator type.
2. Set useOriginalSQLWhenTranslatingFailed to decide whether use original SQL when translating failed.
## Sample
```yaml
sqlTranslator:
type: Native
useOriginalSQLWhenTranslatingFailed: true
```
## Related References
- [JAVA API: SQL Translator](/en/user-manual/shardingsphere-jdbc/java-api/rules/sql-translator/)
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/yaml-config/rules/sharding-cache.en.md
=====================================================
+++
title = "Cache for Sharding Route"
weight = 11
+++
## Background
This feature is **experimental** and needs to be used with the data sharding rule.
The cache for sharding route will put the logical SQL, the parameter value of the shard key, and the routing result into the cache, exchange space for time, and reduce CPU usage of the routing logic.
We recommend enabling it only if the following conditions are met:
- Pure OLTP scenarios.
- The CPU of the machine which deployed the ShardingSphere process has reached the bottleneck.
- Most of the CPUs are used by ShardingSphere routing logic.
- All SQLs are optimized and each SQL execution could be routed to a single data node.
If the above conditions are not met, the execution delay of SQL may not be significantly improved, and the memory pressure will be increased.
## Parameters
```yaml
rules:
- !SHARDING
tables:
shardingAlgorithms:
# ...
shardingCache:
allowedMaxSqlLength: 512 # Allow cached SQL length limit
routeCache:
initialCapacity: 65536 # Initial capacity
maximumSize: 262144 # Maximum capacity
softValues: true # Whether to use soft references
```
## Related References
- [Core Feature: Data Sharding](/en/features/sharding/)
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/yaml-config/rules/mix.en.md
=====================================================
+++
title = "Mixed Rules"
weight = 10
+++
## Background
ShardingSphere provides a variety of features, such as data sharding, read/write splitting, and data encryption. These features can be used independently or in combination.
Below, you will find the parameters' explanation and configuration samples based on YAML.
## Parameters
```yaml
rules:
- !SHARDING
tables:
<logic_table_name>: # Logical table name:
actualDataNodes: # consists of logical data source name plus table name (refer to Inline syntax rules)
tableStrategy: # Table shards strategy. The same as database shards strategy
standard:
shardingColumn: # Sharding column name
shardingAlgorithmName: # Sharding algorithm name
keyGenerateStrategy:
column: # Auto-increment column name. By default, the auto-increment primary key generator is not used.
keyGeneratorName: # Distributed sequence algorithm name
defaultDatabaseStrategy:
standard:
shardingColumn: # Sharding column name
shardingAlgorithmName: # Sharding algorithm name
shardingAlgorithms:
<sharding_algorithm_name>: # Sharding algorithm name
type: INLINE
props:
algorithm-expression: # INLINE expression
t_order_inline:
type: INLINE
props:
algorithm-expression: # INLINE expression
keyGenerators:
<key_generate_algorithm_name> (+): # Distributed sequence algorithm name
type: # Distributed sequence algorithm type
props: # Property configuration of distributed sequence algorithm
- !ENCRYPT
encryptors:
<encrypt_algorithm_name> (+): # Encryption and decryption algorithm name
type: # Encryption and decryption algorithm type
props: # Encryption and decryption algorithm property configuration
<encrypt_algorithm_name> (+): # Encryption and decryption algorithm name
type: # Encryption and decryption algorithm type
tables:
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/yaml-config/rules/shadow.en.md
=====================================================
+++
title = "Shadow DB"
weight = 7
+++
## Background
Please refer to the following configuration in order to use the ShardingSphere shadow DB feature in ShardingSphere-Proxy.
## Parameters
```yaml
rules:
- !SHADOW
dataSources:
shadowDataSource:
productionDataSourceName: # production data source name
shadowDataSourceName: # shadow data source name
tables:
<table_name>:
dataSourceNames: # shadow table associates shadow data source name list
- <shadow_data_source>
shadowAlgorithmNames: # shadow table associates shadow algorithm name list
- <shadow_algorithm_name>
defaultShadowAlgorithmName: # default shadow algorithm name (option)
shadowAlgorithms:
<shadow_algorithm_name> (+): # shadow algorithm name
type: # shadow algorithm type
props: # shadow algorithm attribute configuration
```
Please refer to [Built-in shadow algorithm list](/en/user-manual/common-config/builtin-algorithm/shadow) for more details.
## Procedure
1. Configure shadow DB rules in the YAML file, including data sources, shadow library rules, global properties and other configuration items;
2. Call the `createDataSource()` method of the `YamlShardingSphereDataSourceFactory` object to create a ShardingSphereDataSource based on the configuration information in the YAML file.
## Sample
The YAML configuration sample of shadow DB is as follows:
```yaml
dataSources:
ds:
url: jdbc:mysql://127.0.0.1:3306/ds?serverTimezone=UTC&useSSL=false
username: root
password:
connectionTimeoutMilliseconds: 30000
idleTimeoutMilliseconds: 60000
maxLifetimeMilliseconds: 1800000
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/yaml-config/rules/encrypt.en.md
=====================================================
+++
title = "Encryption"
weight = 5
+++
## Background
The YAML configuration approach to data encryption is highly readable, with the YAML format enabling a quick understanding of dependencies between encryption rules.
Based on the YAML configuration, ShardingSphere automatically completes the creation of ShardingSphereDataSource objects, reducing unnecessary coding efforts for users.
## Parameters
```yaml
rules:
- !ENCRYPT
tables:
<table_name> (+): # Encrypt table name
columns:
<column_name> (+): # Encrypt logic column name
cipher:
name: # Cipher column name
encryptorName: # Cipher encrypt algorithm name
assistedQuery (?):
name: # Assisted query column name
encryptorName: # Assisted query encrypt algorithm name
likeQuery (?):
name: # Like query column name
encryptorName: # Like query encrypt algorithm name
# Encrypt algorithm configuration
encryptors:
<encrypt_algorithm_name> (+): # Encrypt algorithm name
type: # Encrypt algorithm type
props: # Encrypt algorithm properties
# ...
```
Please refer to [Built-in Encrypt Algorithm List](/en/user-manual/common-config/builtin-algorithm/encrypt) for more details about type of algorithm.
## Procedure
1. Configure data encryption rules in the YAML file, including data sources, encryption rules, global attributes, and other configuration items.
2. Using the createDataSource of calling the YamlShardingSphereDataSourceFactory object to create ShardingSphereDataSource based on the configuration information in the YAML file.
## Sample
The data encryption YAML configurations are as follows:
```yaml
dataSources:
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/yaml-config/rules/_index.cn.md
=====================================================
+++
title = "规则配置"
weight = 3
chapter = true
+++
规则是 Apache ShardingSphere 面向可插拔的一部分。
本章节是 ShardingSphere-JDBC 的 YAML 规则配置参考手册。
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/yaml-config/rules/shadow.cn.md
=====================================================
+++
title = "影子库"
weight = 7
+++
## 背景信息
如果您想在 ShardingSphere-Proxy 中使用 ShardingSphere 影子库功能请参考以下配置。
## 参数解释
```yaml
rules:
- !SHADOW
dataSources:
shadowDataSource:
productionDataSourceName: # 生产数据源名称
shadowDataSourceName: # 影子数据源名称
tables:
<table_name>:
dataSourceNames: # 影子表关联影子数据源名称列表
- <shadow_data_source>
shadowAlgorithmNames: # 影子表关联影子算法名称列表
- <shadow_algorithm_name>
defaultShadowAlgorithmName: # 默认影子算法名称（选配项）
shadowAlgorithms:
<shadow_algorithm_name> (+): # 影子算法名称
type: # 影子算法类型
props: # 影子算法属性配置
```
详情请参见[内置影子算法列表](/cn/user-manual/common-config/builtin-algorithm/shadow)
## 操作步骤
1. 在 YAML 文件中配置影子库规则，包含数据源、影子库规则、全局属性等配置项；
2. 调用 YamlShardingSphereDataSourceFactory 对象的 createDataSource 方法，根据 YAML 文件中的配置信息创建 ShardingSphereDataSource。
## 配置示例
```yaml
dataSources:
ds:
url: jdbc:mysql://127.0.0.1:3306/ds?serverTimezone=UTC&useSSL=false
username: root
password:
connectionTimeoutMilliseconds: 30000
idleTimeoutMilliseconds: 60000
maxLifetimeMilliseconds: 1800000
maxPoolSize: 50
minPoolSize: 1
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/yaml-config/rules/mask.en.md
=====================================================
+++
title = "Data Masking"
weight = 6
+++
## Background
The YAML configuration approach to data masking is highly readable, with the YAML format enabling a quick understanding of dependencies between mask rules.
Based on the YAML configuration, ShardingSphere automatically completes the creation of `ShardingSphereDataSource` objects, reducing unnecessary coding efforts for users.
## Parameters
```yaml
rules:
- !MASK
tables:
<table_name> (+): # Mask table name
columns:
<column_name> (+): # Mask logic column name
maskAlgorithm: # Mask algorithm name
# Mask algorithm configuration
maskAlgorithms:
<mask_algorithm_name> (+): # Mask algorithm name
type: # Mask algorithm type
props: # Mask algorithm properties
# ...
```
Please refer to [Built-in Mask Algorithm List](/en/user-manual/common-config/builtin-algorithm/mask) for more details about type of algorithm.
## Procedure
1. Configure data masking rules in the YAML file, including data sources, mask rules, global attributes, and other configuration items.
2. Using the `createDataSource` of calling the `YamlShardingSphereDataSourceFactory` object to create `ShardingSphereDataSource` based on the configuration information in the YAML file.
## Sample
The data masking YAML configurations are as follows:
```yaml
dataSources:
unique_ds:
dataSourceClassName: com.zaxxer.hikari.HikariDataSource
driverClassName: com.mysql.jdbc.Driver
jdbcUrl: jdbc:mysql://localhost:3306/demo_ds?serverTimezone=UTC&useSSL=false&useUnicode=true&characterEncoding=UTF-8
username: root
password:
rules:
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/yaml-config/rules/sql-federation.en.md
=====================================================
+++
title = "SQL Federation"
weight = 13
+++
## Background
This function is an **experimental one and is currently not suitable for use in core system production environments**.
When multiple tables in a join query are distributed across different database instances, enabling federated query allows for cross-database join queries, as well as subqueries.
## Parameters
```yaml
sqlFederation:
sqlFederationEnabled: # SQL federation enabled configuration
allQueryUseSQLFederation: # all query use SQL federation configuration
executionPlanCache: # execution plan cache configuration
initialCapacity: 2000 # execution plan local cache initial capacity
maximumSize: 65535 # execution plan local cache maximum size
```
## Sample
```yaml
sqlFederation:
sqlFederationEnabled: true
allQueryUseSQLFederation: false
executionPlanCache:
initialCapacity: 2000
maximumSize: 65535
```
## Related References
- [JAVA API: SQL Federation](/en/user-manual/shardingsphere-jdbc/java-api/rules/sql-federation/)
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/yaml-config/rules/broadcast.en.md
=====================================================
+++
title = "Broadcast Table"
weight = 2
+++
## Background
Broadcast table YAML configuration is highly readable. The broadcast rules can be quickly understood thanks to the YAML format. ShardingSphere automatically creates the `ShardingSphereDataSource` object according to the YAML configuration, which reduces unnecessary coding for users.
## Parameters
```yaml
rules:
- !BROADCAST
tables: # Broadcast tables
- <table_name>
- <table_name>
```
## Procedure
1. Configure broadcast table list in the YAML file.
2. Call the `createDataSource` method of the object `YamlShardingSphereDataSourceFactory`. Create ShardingSphereDataSource according to the configuration information in YAML files.
## Sample
The YAML configuration sample of the broadcast table is as follows:
```yaml
dataSources:
ds_0:
dataSourceClassName: com.zaxxer.hikari.HikariDataSource
driverClassName: com.mysql.jdbc.Driver
jdbcUrl: jdbc:mysql://localhost:3306/demo_ds_0?serverTimezone=UTC&useSSL=false&useUnicode=true&characterEncoding=UTF-8
username: root
password:
ds_1:
dataSourceClassName: com.zaxxer.hikari.HikariDataSource
driverClassName: com.mysql.jdbc.Driver
jdbcUrl: jdbc:mysql://localhost:3306/demo_ds_1?serverTimezone=UTC&useSSL=false&useUnicode=true&characterEncoding=UTF-8
username: root
password:
rules:
- !BROADCAST
tables:
- t_address
```
Read the YAML configuration to create a data source according to the `createDataSource` method of `YamlShardingSphereDataSourceFactory`.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/yaml-config/rules/_index.en.md
=====================================================
+++
title = "Rules"
weight = 3
chapter = true
+++
Rules are pluggable part of Apache ShardingSphere.
This chapter is a YAML rule configuration manual for ShardingSphere-JDBC.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/yaml-config/rules/single.en.md
=====================================================
+++
title = "Single Table"
weight = 12
+++
## Background
Single rule is used to specify which single tables need to be managed by ShardingSphere, or to set the default single table data source.
## Parameters
```yaml
rules:
- !SINGLE
tables:
# MySQL style
- ds_0.t_single # Load specified single table
- ds_1.* # Load all single tables in the specified data source
- "*.*" # Load all single tables
# PostgreSQL style
- ds_0.public.t_config
- ds_1.public.*
- ds_2.*.*
- "*.*.*"
defaultDataSource: ds_0 # The default data source is used when executing CREATE TABLE statement to create a single table. The default value is null, indicating random unicast routing.
```
## Related References
- [Single Table](/en/features/sharding/concept/#single-table)
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/yaml-config/rules/sharding.en.md
=====================================================
+++
title = "Sharding"
weight = 1
+++
## Background
Data sharding YAML configuration is highly readable. The dependencies between sharding rules can be quickly understood through the YAML format. ShardingSphere automatically creates the ShardingSphereDataSource object according to YAML configuration, which can reduce unnecessary coding for users.
## Parameters
```yaml
rules:
- !SHARDING
tables: # Sharding table configuration
<logic_table_name> (+): # Logic table name
actualDataNodes (?): # Describe data source names and actual tables (refer to Inline syntax rules)
databaseStrategy (?): # Databases sharding strategy, use default databases sharding strategy if absent. sharding strategy below can choose only one.
standard: # For single sharding column scenario
shardingColumn: # Sharding column name
shardingAlgorithmName: # Sharding algorithm name
complex: # For multiple sharding columns scenario
shardingColumns: # Sharding column names, multiple columns separated with comma
shardingAlgorithmName: # Sharding algorithm name
hint: # Sharding by hint
shardingAlgorithmName: # Sharding algorithm name
none: # Do not sharding
tableStrategy: # Tables sharding strategy, same as database sharding strategy
keyGenerateStrategy: # Key generator strategy
column: # Column name of key generator
keyGeneratorName: # Key generator name
auditStrategy: # Sharding audit strategy
auditorNames: # Sharding auditor name
- <auditor_name>
- <auditor_name>
allowHintDisable: true # Enable or disable sharding audit hint
autoTables: # Auto Sharding table configuration
t_order_auto: # Logic table name
actualDataSources (?): # Data source names
shardingStrategy: # Sharding strategy
standard: # For single sharding column scenario
shardingColumn: # Sharding column name
shardingAlgorithmName: # Auto sharding algorithm name
bindingTables (+): # Binding tables
- <logic_table_name_1, logic_table_name_2, ...>
- <logic_table_name_1, logic_table_name_2, ...>
defaultDatabaseStrategy: # Default strategy for database sharding
defaultTableStrategy: # Default strategy for table sharding
defaultKeyGenerateStrategy: # Default Key generator strategy
defaultShardingColumn: # Default sharding column name
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/yaml-config/rules/readwrite-splitting.en.md
=====================================================
+++
title = "Readwrite-splitting"
weight = 3
+++
## Background
Read/write splitting YAML configuration is highly readable. The YAML format enables you to quickly understand the dependencies between read/write sharding rules. ShardingSphere automatically creates the ShardingSphereDataSource object according to the YAML configuration, which reduces unnecessary coding for users.
## Parameters
### Readwrite-splitting
```yaml
rules:
- !READWRITE_SPLITTING
dataSources:
<data_source_name> (+): # Logic data source name of readwrite-splitting, which uses Groovy's Row Value Expressions SPI implementation to parse by default
write_data_source_name: # Write data source name, which uses Groovy's Row Value Expressions SPI implementation to parse by default
read_data_source_names: # Read data source names, multiple data source names separated with comma, which uses Groovy's Row Value Expressions SPI implementation to parse by default
transactionalReadQueryStrategy (?): # Routing strategy for read query within a transaction, values include: PRIMARY (to primary), FIXED (to fixed data source), DYNAMIC (to any data source), default value: DYNAMIC
loadBalancerName: # Load balance algorithm name
# Load balance algorithm configuration
loadBalancers:
<load_balancer_name> (+): # Load balance algorithm name
type: # Load balance algorithm type
props: # Load balance algorithm properties
# ...
```
Please refer to [Built-in Load Balance Algorithm List](/en/user-manual/common-config/builtin-algorithm/load-balance) for more details about type of algorithm.
## Procedure
1. Add read/write splitting data source.
2. Set the load balancer algorithm.
3. Use read/write data source.
## Sample
```yaml
rules:
- !READWRITE_SPLITTING
dataSources:
readwrite_ds:
writeDataSourceName: write_ds
readDataSourceNames:
- read_ds_0
- read_ds_1
transactionalReadQueryStrategy: PRIMARY
loadBalancerName: random
loadBalancers:
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/yaml-config/mode.en.md
=====================================================
+++
title = "Mode"
weight = 1
+++
## Parameters
```yaml
mode (?): # Default value is Standalone
type: # Type of mode configuration. Values could be: Standalone, Cluster
repository (?): # Persist repository configuration
```
### Standalone Mode
```yaml
mode:
type: Standalone
repository:
type: # Type of persist repository
props: # Properties of persist repository
foo_key: foo_value
bar_key: bar_value
```
### Cluster Mode (recommended)
```yaml
mode:
type: Cluster
repository:
type: # Type of persist repository
props: # Properties of persist repository
namespace: # Namespace of registry center
server-lists: # Server lists of registry center
foo_key: foo_value
bar_key: bar_value
```
## Notes
1. Cluster mode deployment is recommended for production environment.
1. The `ZooKeeper` registry center is recommended for cluster mode deployment.
1. If there is configuration information in the `ZooKeeper`, please refer to the config information there.
## Sample
### Standalone Mode
```yaml
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/yaml-config/_index.en.md
=====================================================
+++
title = "YAML Configuration"
weight = 1
chapter = true
+++
## Overview
YAML configuration provides interaction with ShardingSphere JDBC through configuration files.
When used with the governance module together, the configuration of persistence in the configuration center is YAML format.
Note:
The YAML configuration file supports more than 3MB of configuration content.
YAML configuration is the most common configuration mode, which can omit the complexity of programming and simplify user configuration.
## Usage
### Import Maven Dependency
```xml
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-jdbc</artifactId>
<version>${shardingsphere.version}</version>
</dependency>
```
### YAML Format
ShardingSphere-JDBC YAML file consists of database name, mode configuration, data source map, rule configurations and properties.
Note: The example connection pool is HikariCP, which can be replaced with other connection pools according to business scenarios.
```yaml
# JDBC logic database name. Through this parameter to connect ShardingSphere-JDBC and ShardingSphere-Proxy.
# Default value: logic_db
databaseName (?):
mode:
dataSources:
rules:
- !FOO_XXX
...
- !BAR_XXX
...
props:
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/yaml-config/algorithm.en.md
=====================================================
+++
title = "Algorithm"
weight = 4
+++
## Sharding
```yaml
shardingAlgorithms:
# algorithmName is specified by users, and its property has to be consistent with that of shardingAlgorithmName in the sharding strategy.
<algorithmName>:
# type and props, please refer to the built-in sharding algorithm: https://shardingsphere.apache.org/document/current/en/user-manual/common-config/builtin-algorithm/sharding/
type: xxx
props:
xxx: xxx
```
## Encryption
```yaml
encryptors:
# encryptorName is specified by users, and its property should be consistent with that of encryptorName in encryption rules.
<encryptorName>:
# type and props, please refer to the built-in encryption algorithm: https://shardingsphere.apache.org/document/current/en/user-manual/common-config/builtin-algorithm/encrypt/
type: xxx
props:
xxx: xxx
```
## Read/Write Splitting Load Balancer
```yaml
loadBalancers:
# loadBalancerName is specified by users, and its property has to be consistent with that of loadBalancerName in read/write splitting rules.
# type and props, please refer to the built-in read/write splitting algorithm load balancer: https://shardingsphere.apache.org/document/current/en/user-manual/common-config/builtin-algorithm/load-balance/
type: xxx
props:
xxx: xxx
```
## Shadow DB
```yaml
shadowAlgorithms:
# shadowAlgorithmName is specified by users, and its property has to be consistent with that of shadowAlgorithmNames in shadow DB rules.
<shadowAlgorithmName>:
# type and props, please refer to the built-in shadow DB algorithm: https://shardingsphere.apache.org/document/current/en/user-manual/common-config/builtin-algorithm/shadow/
type: xxx
props:
xxx: xxx
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/yaml-config/algorithm.cn.md
=====================================================
+++
title = "算法配置"
weight = 4
+++
## 分片算法
```yaml
shardingAlgorithms:
# algorithmName 由用户指定，需要和分片策略中的 shardingAlgorithmName 属性一致
<algorithmName>:
# type 和 props，请参考分片内置算法：https://shardingsphere.apache.org/document/current/cn/user-manual/common-config/builtin-algorithm/sharding/
type: xxx
props:
xxx: xxx
```
## 加密算法
```yaml
encryptors:
# encryptorName 由用户指定，需要和加密规则中的 encryptorName 属性一致
<encryptorName>:
# type 和 props，请参考加密内置算法：https://shardingsphere.apache.org/document/current/cn/user-manual/common-config/builtin-algorithm/encrypt/
type: xxx
props:
xxx: xxx
```
## 读写分离负载均衡算法
```yaml
loadBalancers:
# loadBalancerName 由用户指定，需要和读写分离规则中的 loadBalancerName 属性一致
<loadBalancerName>:
# type 和 props，请参考读写分离负载均衡内置算法：https://shardingsphere.apache.org/document/current/cn/user-manual/common-config/builtin-algorithm/load-balance/
type: xxx
props:
xxx: xxx
```
## 影子算法
```yaml
shadowAlgorithms:
# shadowAlgorithmName 由用户指定，需要和影子库规则中的 shadowAlgorithmNames 属性一致
<shadowAlgorithmName>:
# type 和 props，请参考影子库内置算法：https://shardingsphere.apache.org/document/current/cn/user-manual/common-config/builtin-algorithm/shadow/
type: xxx
props:
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/yaml-config/data-source.en.md
=====================================================
+++
title = "Data Source"
weight = 2
chapter = true
+++
## Background
ShardingSphere-JDBC Supports all JDBC drivers and data source connection pools.
In this example, the database driver is MySQL, and the connection pool is HikariCP, which can be replaced with other database drivers and connection pools.
When using ShardingSphere JDBC, the property name of the JDBC pool depends on the definition of the respective JDBC pool and is not defined by ShardingSphere. For related processing, please refer to the class `org.apache.shardingsphere.infra.datasource.pool.creator.DataSourcePoolCreator`.
For example, with Alibaba Druid 1.2.9, using url instead of jdbcUrl in the example below is the expected behavior.
## Parameters
```yaml
dataSources: # Data sources configuration, multiple <data-source-name> available
<data_source_name>: # Data source name
dataSourceClassName: # Data source class name
driverClassName: # The database driver class name is subject to the configuration of the data source connection pool itself
jdbcUrl: # The database URL connection is subject to the configuration of the data source connection pool itself
username: # Database username, subject to the configuration of the data source connection pool itself
password: # The database password is subject to the configuration of the data source connection pool itself
# ... Other properties of data source pool
```
## Sample
```yaml
dataSources:
ds_1:
dataSourceClassName: com.zaxxer.hikari.HikariDataSource
driverClassName: com.mysql.jdbc.Driver
jdbcUrl: jdbc:mysql://localhost:3306/ds_1
username: root
password:
ds_2:
dataSourceClassName: com.zaxxer.hikari.HikariDataSource
driverClassName: com.mysql.jdbc.Driver
jdbcUrl: jdbc:mysql://localhost:3306/ds_2
username: root
password:
# Configure other data sources
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/yaml-config/jdbc-driver/spring-boot/_index.cn.md
=====================================================
+++
title = "Spring Boot"
weight = 4
chapter = true
+++
## 简介
ShardingSphere 提供 JDBC 驱动，开发者可以在 Spring Boot 中配置 `ShardingSphereDriver` 来使用 ShardingSphere。
## 使用步骤
### 引入 Maven 依赖
```xml
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-jdbc</artifactId>
<version>${shardingsphere.version}</version>
</dependency>
```
### 配置 Spring Boot
```properties
# 配置 DataSource Driver
spring.datasource.driver-class-name=org.apache.shardingsphere.driver.ShardingSphereDriver
# 指定 YAML 配置文件
spring.datasource.url=jdbc:shardingsphere:classpath:xxx.yaml
```
`spring.datasource.url` 中的 YAML 配置文件当前支持通过多种方式获取，具体可参考 [已知实现](../known-implementation/) 。
### 使用数据源
直接使用该数据源；或者将 ShardingSphereDataSource 配置在 JPA、Hibernate、MyBatis 等 ORM 框架中配合使用。
## 针对 Spring Boot OSS 3 的处理
Spring Boot OSS 3 对 Jakarta EE 和 Java 17 进行了 “大爆炸” 升级，涉及大量复杂情况。
ShardingSphere 的 XA 分布式事务尚未在 Spring Boot OSS 3 上就绪，此限制同样适用于其他基于 Jakarta EE 9+ 的 Web Framework，如
Quarkus 3，Micronaut Framework 4 和 Helidon 3。
用户仅需要配置如下。
```xml
<project>
<dependencies>
<dependency>
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/yaml-config/jdbc-driver/spring-boot/_index.en.md
=====================================================
+++
title = "Spring Boot"
weight = 4
chapter = true
+++
## Overview
ShardingSphere provides a JDBC driver, and developers can configure `ShardingSphereDriver` in Spring Boot to use ShardingSphere.
## Usage
### Import Maven Dependency
```xml
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-jdbc</artifactId>
<version>${shardingsphere.version}</version>
</dependency>
```
### Configure Spring Boot Properties
```properties
# Configuring DataSource Drivers
spring.datasource.driver-class-name=org.apache.shardingsphere.driver.ShardingSphereDriver
# Specify a YAML configuration file
spring.datasource.url=jdbc:shardingsphere:classpath:xxx.yaml
```
The YAML configuration file in 'spring.datasource.url' currently support in multiple ways, refer to [Known Implementation](../known-implementation/).
### Use Data Source
Use this data source directly; or configure ShardingSphereDataSource to be used in conjunction with ORM frameworks such as JPA, Hibernate, and MyBatis.
## Handling for Spring Boot OSS 3
Spring Boot OSS 3 has made a "big bang" upgrade to Jakarta EE and Java 17, with all complications involved.
ShardingSphere's XA distributed transactions are not yet ready on Spring Boot OSS 3. This limitation also applies to other
Jakarta EE 9+ based Web Frameworks, such as Quarkus 3, Micronaut Framework 4 and Helidon 3.
Users only need to configure as follows.
```xml
<project>
<dependencies>
<dependency>
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/yaml-config/jdbc-driver/_index.cn.md
=====================================================
+++
title = "JDBC 驱动"
weight = 5
chapter = true
+++
## 背景信息
ShardingSphere-JDBC 提供了 JDBC 驱动，可以仅通过配置变更即可使用，无需改写代码。
## 参数解释
### 驱动类名称
`org.apache.shardingsphere.driver.ShardingSphereDriver`
### URL 配置及配置示例
参考 [已知实现](./known-implementation/_index.cn.md) 。
## 操作步骤
1. 引入 Maven 依赖
```xml
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-jdbc</artifactId>
<version>${shardingsphere.version}</version>
</dependency>
```
2. 使用驱动
* 使用原生驱动：
```java
Class.forName("org.apache.shardingsphere.driver.ShardingSphereDriver");
String jdbcUrl = "jdbc:shardingsphere:classpath:config.yaml";
String sql = "SELECT i.* FROM t_order o JOIN t_order_item i ON o.order_id=i.order_id WHERE o.user_id=? AND o.order_id=?";
try (
Connection conn = DriverManager.getConnection(jdbcUrl);
PreparedStatement ps = conn.prepareStatement(sql)) {
ps.setInt(1, 10);
ps.setInt(2, 1000);
try (ResultSet rs = preparedStatement.executeQuery()) {
while(rs.next()) {
// ...
}
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/yaml-config/jdbc-driver/_index.en.md
=====================================================
+++
title = "JDBC Driver"
weight = 5
chapter = true
+++
## Background
ShardingSphere-JDBC provides a JDBC Driver, which can be used only through configuration changes without rewriting the code.
## Parameters
### Driver Class Name
`org.apache.shardingsphere.driver.ShardingSphereDriver`
### URL Configuration and sample
Refer to [known Implementation](./known-implementation/_index.en.md).
## Procedure
1. Import Maven Dependency
```xml
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-jdbc</artifactId>
<version>${shardingsphere.version}</version>
</dependency>
```
2. Use drive
* Use native drivers:
```java
Class.forName("org.apache.shardingsphere.driver.ShardingSphereDriver");
String jdbcUrl = "jdbc:shardingsphere:classpath:config.yaml";
String sql = "SELECT i.* FROM t_order o JOIN t_order_item i ON o.order_id=i.order_id WHERE o.user_id=? AND o.order_id=?";
try (
Connection conn = DriverManager.getConnection(jdbcUrl);
PreparedStatement ps = conn.prepareStatement(sql)) {
ps.setInt(1, 10);
ps.setInt(2, 1000);
try (ResultSet rs = preparedStatement.executeQuery()) {
while(rs.next()) {
// ...
}
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/yaml-config/jdbc-driver/spring-namespace/_index.cn.md
=====================================================
+++
title = "Spring 命名空间"
weight = 4
chapter = true
+++
## 简介
ShardingSphere 提供 JDBC 驱动，开发者可以在 Spring 中配置 `ShardingSphereDriver` 来使用 ShardingSphere。
## 使用步骤
### 引入 Maven 依赖
```xml
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-jdbc</artifactId>
<version>${shardingsphere.version}</version>
</dependency>
```
### 配置 Spring Bean
#### 配置项说明
| *名称* | *类型* | *说明* |
|-------------|------|------------------------------------------|
| driverClass | 属性 | 数据库 Driver，这里需要指定使用 ShardingSphereDriver |
| url | 属性 | YAML 配置文件路径 |
#### 配置示例
```xml
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://www.springframework.org/schema/beans
http://www.springframework.org/schema/beans/spring-beans.xsd">
<bean id="shardingDataSource" class="org.springframework.jdbc.datasource.SimpleDriverDataSource">
<property name="driverClass" value="org.apache.shardingsphere.driver.ShardingSphereDriver" />
<property name="url" value="jdbc:shardingsphere:classpath:xxx.yaml" />
</bean>
</beans>
```
### 使用数据源
使用方式同 Spring Boot。
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/yaml-config/jdbc-driver/spring-namespace/_index.en.md
=====================================================
+++
title = "Spring Namespace"
weight = 4
chapter = true
+++
## Overview
ShardingSphere provides a JDBC driver. To use ShardingSphere, developers can configure `ShardingSphereDriver` in Spring.
## Operation
### Import Maven Dependency
```xml
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-jdbc</artifactId>
<version>${shardingsphere.version}</version>
</dependency>
```
### Configure Spring Bean
#### Configuration Item Explanation
| *Name* | *Type* | *Description* |
|-------------------|-------------|---------------------------------------------------|
| driverClass | Attribute | Database Driver, need to use ShardingSphereDriver |
| url | Attribute | YAML configuration file path |
#### Example
```xml
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://www.springframework.org/schema/beans
http://www.springframework.org/schema/beans/spring-beans.xsd">
<bean id="shardingDataSource" class="org.springframework.jdbc.datasource.SimpleDriverDataSource">
<property name="driverClass" value="org.apache.shardingsphere.driver.ShardingSphereDriver" />
<property name="url" value="jdbc:shardingsphere:classpath:xxx.yaml" />
</bean>
</beans>
```
### Use Data Source
Same with Spring Boot.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/yaml-config/jdbc-driver/known-implementation/_index.cn.md
=====================================================
+++
title = "已知实现"
weight = 4
chapter = true
+++
## 背景信息
对于 `org.apache.shardingsphere.driver.ShardingSphereDriver` 的驱动类，
通过实现 `org.apache.shardingsphere.infra.url.ShardingSphereURLLoader` 的 SPI，
可允许从多种来源和 File System 获取并解析为 ShardingSphere 的 YAML 配置文件。
如无特定声明，以下实现均采用 YAML 1.1 作为 YAML 的编写规范，
这并不阻止 `org.apache.shardingsphere.infra.url.ShardingSphereURLLoader` 的自定义实现从 XML 或 JSON 等文件手动转化为 YAML。
在解析并加载 YAML 文件为 ShardingSphere 的元数据后，
会再次通过[模式配置](/cn/user-manual/shardingsphere-jdbc/java-api/mode)的相关配置决定下一步行为。讨论两种情况，
1. 元数据持久化仓库中不存在 ShardingSphere 的元数据，本地元数据将被存储到元数据持久化仓库。
2. 元数据持久化仓库中已存在 ShardingSphere 的元数据，无论是否与本地元数据相同，本地元数据将被元数据持久化仓库的元数据覆盖。
对元数据持久化仓库的配置需参考[元数据持久化仓库](/cn/user-manual/common-config/builtin-algorithm/metadata-repository/)。
## 加载配置文件的方式
### 从类路径中加载配置文件
配置文件为 `xxx.yaml`，当`placeholder-type`为`none`或不标明时，配置文件格式与 [YAML 配置](../../../yaml-config) 一致。
当`placeholder-type`存在且不为`none`时，配置文件格式的定义参考本文的`JDBC URL 参数`一节。
用例：
- `jdbc:shardingsphere:classpath:config.yaml`
- `jdbc:shardingsphere:classpath:config.yaml?placeholder-type=none`
- `jdbc:shardingsphere:classpath:config.yaml?placeholder-type=environment`
- `jdbc:shardingsphere:classpath:config.yaml?placeholder-type=system_props`
### 从绝对路径中加载配置文件
配置文件为 `xxx.yaml`，当`placeholder-type`为`none`或不标明时， 配置文件格式与 [YAML 配置](../../../yaml-config) 一致。
当`placeholder-type`存在且不为`none`时，配置文件格式的定义参考本文的`JDBC URL 参数`一节。
用例：
- `jdbc:shardingsphere:absolutepath:/path/to/config.yaml`
- `jdbc:shardingsphere:absolutepath:/path/to/config.yaml?placeholder-type=none`
- `jdbc:shardingsphere:absolutepath:/path/to/config.yaml?placeholder-type=environment`
- `jdbc:shardingsphere:absolutepath:/path/to/config.yaml?placeholder-type=system_props`
## JDBC URL 参数
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/yaml-config/jdbc-driver/known-implementation/_index.en.md
=====================================================
+++
title = "Known Implementation"
weight = 4
chapter = true
+++
## Background Information
For the driver class of `org.apache.shardingsphere.driver.ShardingSphereDriver`,
by implementing the SPI of `org.apache.shardingsphere.infra.url.ShardingSphereURLLoader`,
allows YAML configuration files to be fetched from multiple sources and File Systems and parsed into ShardingSphere.
If there is no specific statement, the following implementations all use YAML 1.1 as the YAML writing specification.
This does not prevent custom implementations of `org.apache.shardingsphere.infra.url.ShardingSphereURLLoader` from being manually converted to YAML from files such as XML or JSON.
After parsing and loading the YAML file into ShardingSphere's metadata,
the next behavior will be determined again through the relevant configuration of [Mode Configuration](/en/user-manual/shardingsphere-jdbc/java-api/mode).
Discuss two situations,
1. ShardingSphere’s metadata does not exist in the Metadata Repository, and local metadata will be stored in the Metadata Repository.
2. The metadata of ShardingSphere already exists in the Metadata Repository.
Regardless of whether it is the same as the local metadata,
the local metadata will be overwritten by the metadata of the Metadata Repository.
For the configuration of the Metadata Repository,
please refer to [Metadata Repository](/en/user-manual/common-config/builtin-algorithm/metadata-repository/).
## How to load configuration files
### Load configuration files from classpath
The configuration file is `xxx.yaml`. When `placeholder-type` is `none` or is not specified,
the configuration file format is consistent with [YAML configuration](../../../yaml-config).
When `placeholder-type` exists and is not `none`,
the configuration file format is defined in the `JDBC URL Parameters` section of this article.
Example:
- `jdbc:shardingsphere:classpath:config.yaml`
- `jdbc:shardingsphere:classpath:config.yaml?placeholder-type=none`
- `jdbc:shardingsphere:classpath:config.yaml?placeholder-type=environment`
- `jdbc:shardingsphere:classpath:config.yaml?placeholder-type=system_props`
### Load configuration file from absolute path
The configuration file is `xxx.yaml`. When `placeholder-type` is `none` or is not specified,
the configuration file format is consistent with [YAML configuration](../../../yaml-config).
When `placeholder-type` exists and is not `none`,
the configuration file format is defined in the `JDBC URL Parameters`section of this article.
Example:
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/special-api/_index.cn.md
=====================================================
+++
title = "特殊 API"
weight = 5
chapter = true
+++
本章节将介绍 ShardingSphere-JDBC 的特殊场景 API。
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/special-api/sharding/hint.en.md
=====================================================
+++
title = "Hint"
weight = 1
+++
## Background
Apache ShardingSphere uses ThreadLocal to manage sharding key values for mandatory routing. A sharding value can be added by programming to the HintManager that takes effect only within the current thread.
Main application scenarios for Hint:
- The sharding fields do not exist in the SQL and database table structure but in the external business logic.
- Certain data operations are forced to be performed in given databases.
## Procedure
1. Call HintManager.getInstance() to obtain an instance of HintManager.
2. Use HintManager.addDatabaseShardingValue, HintManager.addTableShardingValue to set the sharding key value.
3. Execute SQL statements to complete routing and execution.
4. Call HintManager.close to clean up the contents of ThreadLocal.
## Sample
### Hint Configuration
Hint algorithms require users to implement the interface of `org.apache.shardingsphere.api.sharding.hint.HintShardingAlgorithm`.
Apache ShardingSphere will acquire sharding values from HintManager to route.
Take the following configurations for reference:
```yaml
rules:
- !SHARDING
tables:
t_order:
actualDataNodes: demo_ds_${0..1}.t_order_${0..1}
databaseStrategy:
hint:
algorithmClassName: xxx.xxx.xxx.HintXXXAlgorithm
tableStrategy:
hint:
algorithmClassName: xxx.xxx.xxx.HintXXXAlgorithm
defaultTableStrategy:
none:
defaultKeyGenerateStrategy:
type: SNOWFLAKE
column: order_id
props:
sql-show: true
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/special-api/sharding/_index.cn.md
=====================================================
+++
title = "数据分片"
weight = 1
chapter = true
+++
本章节将介绍 ShardingSphere-JDBC 的分片场景 API。
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/special-api/sharding/_index.en.md
=====================================================
+++
title = "Sharding"
weight = 1
chapter = true
+++
This chapter will introduce the Sharding API of ShardingSphere-JDBC.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/special-api/_index.en.md
=====================================================
+++
title = "Special API"
weight = 5
chapter = true
+++
This chapter will introduce the special API of ShardingSphere-JDBC.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/special-api/readwrite-splitting/hint.en.md
=====================================================
+++
title = "Hint"
weight = 1
+++
## Background
Apache ShardingSphere uses `ThreadLocal` to manage primary database routing marks for mandatory routing. A primary database routing mark can be added to `HintManager` through programming, and this value is valid only in the current thread.
`Hint` is mainly used to perform mandatory data operations in the primary database for read/write splitting scenarios.
## Procedure
1. Call `HintManager.getInstance()` to obtain HintManager instance.
2. Call `HintManager.setWriteRouteOnly()` method to set the primary database routing marks.
3. Execute SQL statements to complete routing and execution.
4. Call `HintManager.close()` to clear the content of ThreadLocal.
## Sample
### Primary Route with Hint
#### Get HintManager
The same as sharding based on hint.
#### Configure Primary Database Route
- Use `hintManager.setWriteRouteOnly` to configure primary database route.
#### Clean Hint Value
The same as data sharding based on hint.
#### Code:
```java
String sql = "SELECT * FROM t_order";
try (HintManager hintManager = HintManager.getInstance();
Connection conn = dataSource.getConnection();
PreparedStatement preparedStatement = conn.prepareStatement(sql)) {
hintManager.setWriteRouteOnly();
try (ResultSet rs = preparedStatement.executeQuery()) {
while (rs.next()) {
// ...
}
}
}
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/special-api/readwrite-splitting/_index.cn.md
=====================================================
+++
title = "读写分离"
weight = 2
chapter = true
+++
本章节将介绍 ShardingSphere-JDBC 的读写分离场景 API。
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/special-api/readwrite-splitting/_index.en.md
=====================================================
+++
title = "Readwrite-splitting"
weight = 2
chapter = true
+++
This chapter will introduce the Readwrite-splitting API of ShardingSphere-JDBC.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/special-api/transaction/atomikos.en.md
=====================================================
+++
title = "Atomikos Transaction"
weight = 4
+++
## Background
Apache ShardingSphere provides XA transactions, and the default XA transaction manager is Atomikos.
## Procedure
1. Configure the transaction type
2. Configure Atomikos
## Sample
### Configure the transaction type
Yaml:
```yaml
transaction:
defaultType: XA
providerType: Atomikos
```
### Configure Atomikos
Atomikos configuration items can be customized by adding `jta.properties` to the project's classpath.
See [Atomikos's official documentation](https://www.atomikos.com/Documentation/JtaProperties) for more details.
### Data Recovery
`xa_tx.log` is generated in the `logs` directory of the project. This is the log required for recovering XA crash. Do not delete it.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/special-api/transaction/java-api.cn.md
=====================================================
+++
title = "使用 Java API"
weight = 1
+++
## 背景信息
使用 ShardingSphere-JDBC 时，可以通过 API 的方式使用 XA 和 BASE 模式的事务。
## 前提条件
引入 Maven 依赖
```xml
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-jdbc</artifactId>
<version>${shardingsphere.version}</version>
</dependency>
<!-- 使用 XA 事务时，需要引入此模块 -->
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-transaction-xa-core</artifactId>
<version>${shardingsphere.version}</version>
</dependency>
<!-- 使用 XA 的 Narayana 模式时，需要引入此模块 -->
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-transaction-xa-narayana</artifactId>
<version>${project.version}</version>
</dependency>
<!-- 使用 BASE 事务时，需要引入此模块 -->
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-transaction-base-seata-at</artifactId>
<version>${shardingsphere.version}</version>
</dependency>
```
## 操作步骤
使用事务执行业务逻辑
## 配置示例
```java
// 使用 ShardingSphereDataSource 获取连接，执行事务操作
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/special-api/transaction/java-api.en.md
=====================================================
+++
title = "Use Java API"
weight = 1
+++
## Background
With ShardingSphere-JDBC, XA and BASE mode transactions can be used through the API.
## Prerequisites
Introducing Maven dependency
```xml
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-jdbc</artifactId>
<version>${shardingsphere.version}</version>
</dependency>
<!-- This module is required when using XA transactions -->
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-transaction-xa-core</artifactId>
<version>${shardingsphere.version}</version>
</dependency>
<!-- This module is required when using the Narayana mode with XA transactions -->
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-transaction-xa-narayana</artifactId>
<version>${project.version}</version>
</dependency>
<!-- This module is required when using BASE transactions -->
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-transaction-base-seata-at</artifactId>
<version>${shardingsphere.version}</version>
</dependency>
```
## Procedure
Perform the business logic using transactions
## Sample
```java
// Use ShardingSphereDataSource to get a connection and perform transaction operations.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/special-api/transaction/narayana.en.md
=====================================================
+++
title = "Narayana Transaction"
weight = 5
+++
## Background
Apache ShardingSphere provides XA transactions that integrate with the Narayana implementation.
## Prerequisites
Introducing Maven dependency
```xml
<properties>
<narayana.version>5.12.7.Final</narayana.version>
<jboss-transaction-spi.version>7.6.1.Final</jboss-transaction-spi.version>
<jboss-logging.version>3.2.1.Final</jboss-logging.version>
</properties>
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-jdbc</artifactId>
<version>${shardingsphere.version}</version>
</dependency>
<!-- This module is required when using XA transactions -->
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-transaction-xa-core</artifactId>
<version>${shardingsphere.version}</version>
</dependency>
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-transaction-xa-narayana</artifactId>
<version>${shardingsphere.version}</version>
</dependency>
<dependency>
<groupId>org.jboss.narayana.jta</groupId>
<artifactId>jta</artifactId>
<version>${narayana.version}</version>
</dependency>
<dependency>
<groupId>org.jboss.narayana.jts</groupId>
<artifactId>narayana-jts-integration</artifactId>
<version>${narayana.version}</version>
</dependency>
<dependency>
<groupId>org.jboss</groupId>
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/special-api/transaction/atomikos.cn.md
=====================================================
+++
title = "Atomikos 事务"
weight = 4
+++
## 背景信息
Apache ShardingSphere 提供 XA 事务，默认的 XA 事务实现为 Atomikos。
## 操作步骤
1. 配置事务类型
2. 配置 Atomikos
## 配置示例
### 配置事务类型
Yaml:
```yaml
transaction:
defaultType: XA
providerType: Atomikos
```
### 配置 Atomikos
可以通过在项目的 classpath 中添加 `jta.properties` 来定制化 Atomikos 配置项。
详情请参见 [Atomikos 官方文档](https://www.atomikos.com/Documentation/JtaProperties) 。
### 数据恢复
在项目的 `logs` 目录中会生成 `xa_tx.log`, 这是 XA 崩溃恢复时所需的日志，请勿删除。
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/special-api/transaction/_index.en.md
=====================================================
+++
title = "Transaction"
weight = 3
chapter = true
+++
Using distributed transaction through Apache ShardingSphere is no different from local transaction.
In addition to transparent use of distributed transaction, Apache ShardingSphere can switch distributed transaction types every time the database accesses.
Supported transaction types include local, XA and BASE.
It can be set before creating a database connection, and default value can be set when Apache ShardingSphere startup.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/special-api/transaction/seata.en.md
=====================================================
+++
title = "Seata Transaction"
weight = 7
+++
## Background
Apache ShardingSphere provides BASE transactions that integrate the Seata implementation.
All references to Seata integration in this article refer to Seata AT mode.
## Prerequisites
Introduce Maven dependencies and exclude the outdated Maven dependencies of `org.antlr:antlr4-runtime:4.8` in `io.seata:seata-all`.
```xml
<project>
<dependencies>
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-jdbc</artifactId>
<version>${shardingsphere.version}</version>
</dependency>
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-transaction-base-seata-at</artifactId>
<version>${shardingsphere.version}</version>
</dependency>
<dependency>
<groupId>io.seata</groupId>
<artifactId>seata-all</artifactId>
<version>2.0.0</version>
<exclusions>
<exclusion>
<groupId>org.antlr</groupId>
<artifactId>antlr4-runtime</artifactId>
</exclusion>
</exclusions>
</dependency>
</dependencies>
</project>
```
## Procedure
1. Start Seata Server
2. Create the log table
3. Add the Seata configuration
## Sample
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/special-api/transaction/narayana.cn.md
=====================================================
+++
title = "Narayana 事务"
weight = 5
+++
## 背景信息
Apache ShardingSphere 提供 XA 事务，集成了 Narayana 的实现。
## 前提条件
引入 Maven 依赖
```xml
<properties>
<narayana.version>5.12.7.Final</narayana.version>
<jboss-transaction-spi.version>7.6.1.Final</jboss-transaction-spi.version>
<jboss-logging.version>3.2.1.Final</jboss-logging.version>
</properties>
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-jdbc</artifactId>
<version>${shardingsphere.version}</version>
</dependency>
<!-- 使用 XA 事务时，需要引入此模块 -->
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-transaction-xa-core</artifactId>
<version>${shardingsphere.version}</version>
</dependency>
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-transaction-xa-narayana</artifactId>
<version>${shardingsphere.version}</version>
</dependency>
<dependency>
<groupId>org.jboss.narayana.jta</groupId>
<artifactId>jta</artifactId>
<version>${narayana.version}</version>
</dependency>
<dependency>
<groupId>org.jboss.narayana.jts</groupId>
<artifactId>narayana-jts-integration</artifactId>
<version>${narayana.version}</version>
</dependency>
<dependency>
<groupId>org.jboss</groupId>
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/optional-plugins/_index.en.md
=====================================================
+++
title = "Optional Plugins"
weight = 6
+++
ShardingSphere only includes the implementation of the core SPI by default, and there is a part of the SPI that contains third-party dependencies in Git Source
Implemented plugins are not included. Retrievable at https://central.sonatype.com/.
SPI and existing implementation classes of SPI corresponding to all plugins can be retrieved at https://shardingsphere.apache.org/document/current/cn/dev-manual/.
All the built-in plugins for ShardingSphere-JDBC are listed below in the form of 'groupId:artifactId'.
- `org.apache.shardingsphere:shardingsphere-authority-core`, the user authority to load the logical core
- `org.apache.shardingsphere:shardingsphere-cluster-mode-core`, the persistent definition core of cluster mode configuration information
- `org.apache.shardingsphere:shardingsphere-db-discovery-core`, high availability core
- `org.apache.shardingsphere:shardingsphere-encrypt-core`, data encryption core
- `org.apache.shardingsphere:shardingsphere-infra-context`, the kernel operation and metadata refresh mechanism of Context
- `org.apache.shardingsphere:shardingsphere-logging-core`, logging core
- `org.apache.shardingsphere:shardingsphere-mask-core`, data masking core
- `org.apache.shardingsphere:shardingsphere-mysql-dialect-exception`, MySQL implementation of database gateway
- `org.apache.shardingsphere:shardingsphere-parser-core`, SQL parsing core
- `org.apache.shardingsphere:shardingsphere-postgresql-dialect-exception`, PostgreSQL implementation of database
- `org.apache.shardingsphere:shardingsphere-readwrite-splitting-core`, read-write splitting core
- `org.apache.shardingsphere:shardingsphere-shadow-core`, shadow library core
- `org.apache.shardingsphere:shardingsphere-sharding-core`, data sharding core
- `org.apache.shardingsphere:shardingsphere-single-core`, single-table (only the only table that exists in all sharded data sources) core
- `org.apache.shardingsphere:shardingsphere-sql-federation-core`, federation query executor core
- `org.apache.shardingsphere:shardingsphere-sql-parser-mysql`, MySQL dialect implementation of SQL parsing
- `org.apache.shardingsphere:shardingsphere-sql-parser-opengauss`, OpenGauss dialect implementation of SQL parsing
- `org.apache.shardingsphere:shardingsphere-sql-parser-oracle`, Oracle dialect implementation of SQL parsing
- `org.apache.shardingsphere:shardingsphere-sql-parser-postgresql`, PostgreSQL dialect implementation of SQL parsing
- `org.apache.shardingsphere:shardingsphere-sql-parser-sql92`,the SQL 92 dialect implementation of SQL parsing
- `org.apache.shardingsphere:shardingsphere-sql-parser-sqlserver`, SQL Server dialect implementation of SQL parsing
- `org.apache.shardingsphere:shardingsphere-standalone-mode-core`, the persistence definition core of single-machine mode configuration information
- `org.apache.shardingsphere:shardingsphere-standalone-mode-repository-jdbc-h2`, H2 implementation of persistent definition of configuration information in stand-alone mode
- `org.apache.shardingsphere:shardingsphere-traffic-core`, traffic governance core
- `org.apache.shardingsphere:shardingsphere-transaction-core`, XA Distributed Transaction Manager Core
If ShardingSphere-JDBC needs to use optional plugins, you need to download the JAR containing its SPI implementation and its dependent JARs from Maven Central.
All optional plugins are listed below in the form of `groupId:artifactId`.
- Standalone mode configuration information persistence definition
- `org.apache.shardingsphere:shardingsphere-standalone-mode-repository-jdbc-mysql`, MySQL based persistence
- Cluster mode configuration information persistence definition
- `org.apache.shardingsphere:shardingsphere-cluster-mode-repository-zookeeper`, Zookeeper based persistence
- `org.apache.shardingsphere:shardingsphere-cluster-mode-repository-etcd`, Etcd based persistence
- XA transaction manager provider definition
- `org.apache.shardingsphere:shardingsphere-transaction-xa-narayana`, XA distributed transaction manager based on Narayana
- Row Value Expressions definition
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/java-api/rules/sql-parser.en.md
=====================================================
+++
title = "SQL Parser"
weight = 8
+++
## Background
SQL is the standard language for users to communicate with databases. The SQL parsing engine is responsible for parsing the SQL string into an abstract syntax tree for Apache ShardingSphere to understand and implement its incremental function.
Currently, MySQL, PostgreSQL, SQLServer, Oracle, openGauss and SQL dialects conforming to SQL92 specifications are supported. Due to the complexity of SQL syntax, there are still a few unsupported SQLs.
By using SQL parsing in the form of Java API, you can easily integrate into various systems and flexibly customize user requirements.
## Parameters
Class: org.apache.shardingsphere.parser.config.SQLParserRuleConfiguration
Attributes:
| *name* | *DataType* | *Description* |
|----------------------------|-------------|---------------------------------------------|
| parseTreeCache (?) | CacheOption | Parse syntax tree local cache configuration |
| sqlStatementCache (?) | CacheOption | sql statement local cache configuration |
## Cache option Configuration
Class：org.apache.shardingsphere.sql.parser.api.CacheOption
Attributes:
| *name* | *DataType* | *Description* | *Default Value* |
|-----------------|------------|---------------------------------|-------------------------------------------------------------------------------------------------------------------------|
| initialCapacity | int | Initial capacity of local cache | parser syntax tree local cache default value 128, SQL statement cache default value 2000 |
| maximumSize(?) | long | Maximum capacity of local cache | The default value of local cache for parsing syntax tree is 1024, and the default value of sql statement cache is 65535 |
## Procedure
1. Set local cache configuration.
2. Set resolution configuration.
3. Use the parsing engine to parse SQL.
## Sample
```java
CacheOption cacheOption = new CacheOption(128, 1024L);
SQLParserEngine parserEngine = new SQLParserEngine("MySQL", cacheOption);
ParseASTNode parseASTNode = parserEngine.parse("SELECT t.id, t.name, t.age FROM table1 AS t ORDER BY t.id DESC;", false);
SQLStatementVisitorEngine visitorEngine = new SQLStatementVisitorEngine("MySQL");
MySQLStatement sqlStatement = visitorEngine.visit(parseASTNode);
System.out.println(sqlStatement.toString());
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/java-api/rules/transaction.en.md
=====================================================
+++
title = "Distributed Transaction"
weight = 4
+++
## Root Configuration
org.apache.shardingsphere.transaction.config.TransactionRuleConfiguration
Attributes:
| *name* | *DataType* | *Description* |
|------------------|------------|---------------------------|
| defaultType | String | Default transaction type |
| providerType (?) | String | Transaction provider type |
| props (?) | Properties | Transaction properties |
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/java-api/rules/sql-translator.en.md
=====================================================
+++
title = "SQL Translator"
weight = 9
+++
## Background
By using SQL translator in the form of Java API, you can easily integrate into various systems and flexibly customize user requirements.
## Parameters
Class: org.apache.shardingsphere.sqltranslator.api.config.SQLTranslatorRuleConfiguration
Attributes:
| *name* | *DataType* | *Description* |
|-----------------------------------------|------------|--------------------------------------------------|
| type | String | SQL translator type |
| useOriginalSQLWhenTranslatingFailed (?) | boolean | Whether use original SQL when translating failed |
## Procedure
1. Set SQL translator type.
2. Set useOriginalSQLWhenTranslatingFailed to decide whether use original SQL when translating failed.
## Sample
```java
SQLTranslatorRuleConfiguration ruleConfig = new SQLTranslatorRuleConfiguration("Native", new Properties(), false);
String translatedSQL = new SQLTranslatorRule(ruleConfig).translate();
```
## Related References
- [YAML Configuration: SQL Translator](/en/user-manual/shardingsphere-jdbc/yaml-config/rules/sql-translator/)
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/java-api/rules/sharding-cache.en.md
=====================================================
+++
title = "Cache for Sharding Route"
weight = 11
+++
## Background
This feature is **experimental** and needs to be used with the data sharding rule.
The cache for sharding route will put the logical SQL, the parameter value of the shard key, and the routing result into the cache, exchange space for time, and reduce CPU usage of the routing logic.
We recommend enabling it only if the following conditions are met:
- Pure OLTP scenarios.
- The CPU of the machine which deployed the ShardingSphere process has reached the bottleneck.
- Most of the CPUs are used by ShardingSphere routing logic.
- All SQLs are optimized and each SQL execution could be routed to a single data node.
If the above conditions are not met, the execution delay of SQL may not be significantly improved, and the memory pressure will be increased.
## Parameters
Class：org.apache.shardingsphere.sharding.api.config.cache.ShardingCacheConfiguration
Attributes：
| *name* | *DataType* | *Description* | *Default Value* |
|-----------------------|------------------------------------------------------|----------------|-------|
| allowedMaxSqlLength | int | 允许缓存的 SQL 长度限制 | - |
| routeCache | org.apache.shardingsphere.sharding.api.config.cache.ShardingCacheOptionsConfiguration | 路由缓存 | - |
Class：org.apache.shardingsphere.sharding.api.config.cache.ShardingCacheOptionsConfiguration
Attributes：
| *name* | *DataType* | *Description* | *Default Value* |
|-----------------------|------------------------------------------------------|----------------|-------|
| softValues | boolean | 是否软引用缓存值 | - |
| initialCapacity | int | 缓存初始容量 | - |
| maximumSize | int | 缓存最大容量 | - |
## Sample
```java
public final class ShardingDatabasesAndTablesConfigurationPrecise {
@Override
public DataSource getDataSource() throws SQLException {
return ShardingSphereDataSourceFactory.createDataSource(createDataSourceMap(), Arrays.asList(createShardingRuleConfiguration(), createBroadcastRuleConfiguration())), new Properties());
}
private ShardingRuleConfiguration createShardingRuleConfiguration() {
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/java-api/rules/mix.en.md
=====================================================
+++
title = "Mixed Rules"
weight = 10
+++
## Background
ShardingSphere provides a variety of features, such as data sharding, read/write splitting, high availability, and data encryption. These features can be used independently or in combination.
Below, you will find the configuration samples based on JAVA API.
## Samples
```java
// Sharding configuration
private ShardingRuleConfiguration createShardingRuleConfiguration() {
ShardingRuleConfiguration result = new ShardingRuleConfiguration();
result.getTables().add(getOrderTableRuleConfiguration());
result.setDefaultDatabaseShardingStrategy(new StandardShardingStrategyConfiguration("user_id", "inline"));
result.setDefaultTableShardingStrategy(new StandardShardingStrategyConfiguration("order_id", "standard_test_tbl"));
Properties props = new Properties();
props.setProperty("algorithm-expression", "demo_ds_${user_id % 2}");
result.getShardingAlgorithms().put("inline", new AlgorithmConfiguration("INLINE", props));
result.getShardingAlgorithms().put("standard_test_tbl", new AlgorithmConfiguration("STANDARD_TEST_TBL", new Properties()));
result.getKeyGenerators().put("snowflake", new AlgorithmConfiguration("SNOWFLAKE", new Properties()));
return result;
}
private ShardingTableRuleConfiguration getOrderTableRuleConfiguration() {
ShardingTableRuleConfiguration result = new ShardingTableRuleConfiguration("t_order", "demo_ds_${0..1}.t_order_${[0, 1]}");
result.setKeyGenerateStrategy(new KeyGenerateStrategyConfiguration("order_id", "snowflake"));
return result;
}
// Read/write splitting configuration
private static ReadwriteSplittingRuleConfiguration createReadwriteSplittingConfiguration() {
ReadwriteSplittingDataSourceRuleConfiguration dataSourceConfiguration1 = new ReadwriteSplittingDataSourceRuleConfiguration("replica_ds_0", Arrays.asList("readwrite_ds_0"), true), "");
ReadwriteSplittingDataSourceRuleConfiguration dataSourceConfiguration2 = new ReadwriteSplittingDataSourceRuleConfiguration("replica_ds_1", Arrays.asList("readwrite_ds_1"), true), "");
Collection<ReadwriteSplittingDataSourceRuleConfiguration> dataSources = new LinkedList<>();
dataSources.add(dataSourceRuleConfiguration1);
dataSources.add(dataSourceRuleConfiguration2);
return new ReadwriteSplittingRuleConfiguration(dataSources, Collections.emptyMap());
}
// Data encryption configuration
private static EncryptRuleConfiguration createEncryptRuleConfiguration() {
Properties props = new Properties();
props.setProperty("aes-key-value", "123456");
EncryptColumnRuleConfiguration columnConfigAes = new EncryptColumnRuleConfiguration("username", new EncryptColumnItemRuleConfiguration("username", "name_encryptor"));
EncryptColumnRuleConfiguration columnConfigTest = new EncryptColumnRuleConfiguration("pwd", new EncryptColumnItemRuleConfiguration("pwd", "pwd_encryptor"));
columnConfigTest.setAssistedQuery(new EncryptColumnItemRuleConfiguration("assisted_query_pwd", "pwd_encryptor"));
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/java-api/rules/shadow.en.md
=====================================================
+++
title = "Shadow DB"
weight = 7
+++
## Background
In the distributed application architecture based on microservices, businesses require multiple services to be completed through a series of services and middleware, so the stress test of a single service can no longer meet the needs of real scenarios. If we reconstruct a stress test environment similar to the production environment, it is too expensive and often fails to simulate the complexity and traffic of the online environment. For this reason, the industry often chooses the full link stress test, which is performed in the production environment, so that the test results can accurately reflect the true capacity and performance of the system.
## Parameters
### Root Configuration
Class name: org.apache.shardingsphere.shadow.api.config.ShadowRuleConfiguration
Attributes:
| *Name* | *Data Type* | *Description* |
|----------------------------|----------------------------------------------|---------------------------------------------------|
| dataSources | Map\<String, ShadowDataSourceConfiguration\> | shadow data source mapping name and configuration |
| tables | Map\<String, ShadowTableConfiguration\> | shadow table name and configuration |
| shadowAlgorithms | Map\<String, AlgorithmConfiguration\> | shadow algorithm name and configuration |
| defaultShadowAlgorithmName | String | default shadow algorithm name |
### Shadow Data Source Configuration
Class name: org.apache.shardingsphere.shadow.api.config.datasource.ShadowDataSourceConfiguration
Attributes:
| *Name* | *DataType* | *Description* |
|--------------------------|------------|-----------------------------|
| productionDataSourceName | String | Production data source name |
| shadowDataSourceName | String | Shadow data source name |
### Shadow Table Configuration
Class name: org.apache.shardingsphere.shadow.api.config.table.ShadowTableConfiguration
Attributes:
| *Name* | *Data Type* | *Description* |
|----------------------|----------------------|--------------------------------------------------------------|
| dataSourceNames | Collection\<String\> | shadow table associates shadow data source mapping name list |
| shadowAlgorithmNames | Collection\<String\> | shadow table associates shadow algorithm name list |
### Shadow Algorithm Configuration
Class name：org.apache.shardingsphere.infra.config.algorithm.AlgorithmConfiguration
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/java-api/rules/encrypt.en.md
=====================================================
+++
title = "Encryption"
weight = 5
+++
## Background
The data encryption Java API rule configuration allows users to directly create ShardingSphereDataSource objects by writing java code. The Java API configuration method is very flexible and can integrate various types of business systems without relying on additional jar packages.
## Parameters
### Root Configuration
Class name: org.apache.shardingsphere.encrypt.api.config.EncryptRuleConfiguration
Attributes:
| *Name* | *DataType* | *Description* | *Default Value* |
|---------------------------|---------------------------------------------|------------------------------------------------------------------------------------------------|-----------------|
| tables (+) | Collection\<EncryptTableRuleConfiguration\> | Encrypt table rule configurations | |
| encryptors (+) | Map\<String, AlgorithmConfiguration\> | Encrypt algorithm name and configurations | |
### Encrypt Table Rule Configuration
Class name: org.apache.shardingsphere.encrypt.api.config.rule.EncryptTableRuleConfiguration
Attributes:
| *Name* | *DataType* | *Description* |
|---------------------------|----------------------------------------------|---------------------------------------------------------------------|
| name | String | Table name |
| columns (+) | Collection\<EncryptColumnRuleConfiguration\> | Encrypt column rule configurations |
### Encrypt Column Rule Configuration
Class name: org.apache.shardingsphere.encrypt.api.config.rule.EncryptColumnRuleConfiguration
Attributes:
| *Name* | *DataType* | *Description* |
|---------------|------------------------------------|------------------------------|
| name | String | Logic column name |
| cipher | EncryptColumnItemRuleConfiguration | Cipher column config |
| assistedQuery (?) | EncryptColumnItemRuleConfiguration | Assisted query column config |
| likeQuery (?) | EncryptColumnItemRuleConfiguration | Like query column config |
### Encrypt Column Item Rule Configuration
Class name: org.apache.shardingsphere.encrypt.api.config.rule.EncryptColumnItemRuleConfiguration
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/java-api/rules/_index.cn.md
=====================================================
+++
title = "规则配置"
weight = 3
chapter = true
+++
规则是 Apache ShardingSphere 面向可插拔的一部分。
本章节是 ShardingSphere-JDBC 的 Java 规则配置参考手册。
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/java-api/rules/mask.en.md
=====================================================
+++
title = "Data Masking"
weight = 6
+++
## Background
The data masking Java API rule configuration allows users to directly create ShardingSphereDataSource objects by writing java code. The Java API configuration method is very flexible and can integrate various types of business systems without relying on additional jar packages.
## Parameters
### Root Configuration
Class name: org.apache.shardingsphere.mask.api.config.MaskRuleConfiguration
Attributes:
| *Name* | *DataType* | *Description* | *Default Value* |
|--------------------|------------------------------------------|----------------------------------------|-----------------|
| tables (+) | Collection\<MaskTableRuleConfiguration\> | Mask table rule configurations | |
| maskAlgorithms (+) | Map\<String, AlgorithmConfiguration\> | Mask algorithm name and configurations | |
### Mask Table Rule Configuration
Class name: org.apache.shardingsphere.mask.api.config.rule.MaskTableRuleConfiguration
Attributes:
| *Name* | *DataType* | *Description* |
|-------------|-------------------------------------------|---------------------------------|
| name | String | Table name |
| columns (+) | Collection\<MaskColumnRuleConfiguration\> | Mask column rule configurations |
### Mask Column Rule Configuration
Class name: org.apache.shardingsphere.mask.api.config.rule.MaskColumnRuleConfiguration
Attributes:
| *Name* | *DataType* | *Description* |
|---------------|------------|---------------------|
| logicColumn | String | Logic column name |
| maskAlgorithm | String | Mask algorithm name |
### Mask Algorithm Configuration
Class name: org.apache.shardingsphere.infra.config.algorithm.AlgorithmConfiguration
Attributes:
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/java-api/rules/sql-federation.en.md
=====================================================
+++
title = "SQL-federation"
weight = 13
+++
## Background
This function is an **experimental one and is currently not suitable for use in core system production environments**.
When multiple tables in a join query are distributed across different database instances, enabling federated query allows for cross-database join queries, as well as subqueries.
## Parameters
Class: org.apache.shardingsphere.sqlfederation.api.config.SQLFederationRuleConfiguration
Attributes:
| *name* | *DataType* | *Description* | *Default Value* |
|---------------------|---------|-------------------|-------|
| sqlFederationEnabled | boolean | SQL federation enabled configuration | - |
| allQueryUseSQLFederation | boolean | all query use SQL federation configuration | - |
| executionPlanCache | org.apache.shardingsphere.sql.parser.api.CacheOption | execution plan cache configuration | - |
## Cache option Configuration
Class: org.apache.shardingsphere.sql.parser.api.CacheOption
Attributes:
| *name* | *DataType* | *Description* | *Default Value* |
|-----------------|--------|-----------------------|--------------------------------------------------------|
| initialCapacity | int | Initial capacity of local cache | execution plan local cache default value of 2000 |
| maximumSize | long | Maximum capacity of local cache | execution plan local cache maximum default value 65535 |
## Sample
```java
private SQLFederationRuleConfiguration createSQLFederationRuleConfiguration() {
CacheOption executionPlanCache = new CacheOption(2000, 65535L);
return new SQLFederationRuleConfiguration(true, false, executionPlanCache);
}
```
## Related References
- [YAML Configuration：SQL Federation](/en/user-manual/shardingsphere-jdbc/yaml-config/rules/sql-federation/)
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/java-api/rules/broadcast.en.md
=====================================================
+++
title = "Broadcast Table"
weight = 2
+++
## Background
The Java API rule configuration for broadcast, which allows users to create ShardingSphereDataSource objects directly by writing Java code, is flexible enough to integrate various types of business systems without relying on additional jar packages.
## Parameters
Class：org.apache.shardingsphere.broadcast.api.config.BroadcastRuleConfiguration
Attributes：
| *name* | *DataType* | *Description* | *Default Value* |
|---------------------------|---------------------------------------------|------------|-------|
| tables (+) | Collection\<String\> | Broadcast table rules | |
## Sample
The following is an example of the broadcast table Java API configuration:
```java
public final class ShardingDatabasesAndTablesConfigurationPrecise {
@Override
public DataSource getDataSource() throws SQLException {
return ShardingSphereDataSourceFactory.createDataSource(createDataSourceMap(), Arrays.asList(createBroadcastRuleConfiguration()), new Properties());
}
private Map<String, DataSource> createDataSourceMap() {
Map<String, DataSource> result = new HashMap<>();
result.put("demo_ds_0", DataSourceUtil.createDataSource("demo_ds_0"));
result.put("demo_ds_1", DataSourceUtil.createDataSource("demo_ds_1"));
return result;
}
private BroadcastRuleConfiguration createBroadcastRuleConfiguration() {
return new BroadcastRuleConfiguration(Collections.singletonList("t_address"));
}
}
```
## Related References
- [YAML Configuration: Broadcast](/en/user-manual/shardingsphere-jdbc/yaml-config/rules/broadcast/)
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/java-api/rules/_index.en.md
=====================================================
+++
title = "Rules"
weight = 3
chapter = true
+++
Rules are pluggable part of Apache ShardingSphere.
This chapter is a java rule configuration manual for ShardingSphere-JDBC.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/java-api/rules/single.en.md
=====================================================
+++
title = "Single Table"
weight = 12
+++
## Background
Single rule is used to specify which single tables need to be managed by ShardingSphere, or to set the default single table data source.
## Parameters
Class：org.apache.shardingsphere.single.api.config.SingleRuleConfiguration
Attributes：
| *name* | *DataType* | *Description* | *Default Value* |
|-----------------------|----------------------|----------------------------------|-----------------|
| tables (+) | Collection\<String\> | single tables | - |
| defaultDataSource (?) | String | single table default data source | - |
## Procedure
1. Initialize SingleRuleConfiguration;
2. Add a single table to be loaded and configure the default data source.
## Sample
```java
SingleRuleConfiguration ruleConfig = new SingleRuleConfiguration();
ShardingSphereDataSourceFactory.createDataSource(createDataSourceMap(), Arrays.asList(ruleConfig), new Properties());
```
## Related References
- [Single Table](/en/features/sharding/concept/#single-table)
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/java-api/rules/transaction.cn.md
=====================================================
+++
title = "分布式事务"
weight = 4
+++
## 配置入口
org.apache.shardingsphere.transaction.config.TransactionRuleConfiguration
可配置属性：
| *名称* | *数据类型* | *说明* |
|------------------|------------|---------|
| defaultType | String | 默认事务类型 |
| providerType (?) | String | 事务提供者类型 |
| props (?) | Properties | 事务属性配置 |
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/java-api/rules/sharding.en.md
=====================================================
+++
title = "Sharding"
weight = 1
+++
## Background
The Java API rule configuration for data sharding, which allows users to create ShardingSphereDataSource objects directly by writing Java code, is flexible enough to integrate various types of business systems without relying on additional jar packages.
## Parameters
### Root Configuration
Class name: org.apache.shardingsphere.sharding.api.config.ShardingRuleConfiguration
Attributes:
| *Name* | *DataType* | *Description* | *Default Value* |
|-------------------------------------|--------------------------------------------------|--------------------------------------------------|-------------------------|
| tables (+) | Collection\<ShardingTableRuleConfiguration\> | Sharding table rules | - |
| autoTables (+) | Collection\<ShardingAutoTableRuleConfiguration\> | Sharding auto table rules | - |
| bindingTableGroups (*) | Collection\<String\> | Binding table rules | Empty |
| defaultDatabaseShardingStrategy (?) | ShardingStrategyConfiguration | Default database sharding strategy | Not sharding |
| defaultTableShardingStrategy (?) | ShardingStrategyConfiguration | Default table sharding strategy | Not sharding |
| defaultKeyGenerateStrategy (?) | KeyGeneratorConfiguration | Default key generator | Snowflake |
| defaultAuditStrategy (?) | ShardingAuditStrategyConfiguration | Default key auditor | DML_SHARDING_CONDITIONS |
| defaultShardingColumn (?) | String | Default sharding column name | None |
| shardingAlgorithms (+) | Map\<String, AlgorithmConfiguration\> | Sharding algorithm name and configurations | None |
| keyGenerators (?) | Map\<String, AlgorithmConfiguration\> | Key generate algorithm name and configurations | None |
| auditors (?) | Map\<String, AlgorithmConfiguration\> | Sharding audit algorithm name and configurations | None |
### Sharding Table Configuration
Class name: org.apache.shardingsphere.sharding.api.config.ShardingTableRuleConfiguration
Attributes:
| *Name* | *DataType* | *Description* | *Default Value* |
|------------------------------|------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------|
| logicTable | String | Name of sharding logic table | - |
| actualDataNodes (?) | String | Describe data source names and actual tables, delimiter as point.<br /> Multiple data nodes split by comma, support inline expression | Broadcast table or databases sharding only |
| databaseShardingStrategy (?) | ShardingStrategyConfiguration | Databases sharding strategy | Use default databases sharding strategy |
| tableShardingStrategy (?) | ShardingStrategyConfiguration | Tables sharding strategy | Use default tables sharding strategy |
| keyGenerateStrategy (?) | KeyGeneratorConfiguration | Key generator configuration | Use default key generator |
| auditStrategy (?) | ShardingAuditStrategyConfiguration | Sharding audit strategy configuration | Use default auditor |
### Sharding Auto Table Configuration
Class name: org.apache.shardingsphere.sharding.api.config.ShardingAutoTableRuleConfiguration
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/java-api/rules/readwrite-splitting.en.md
=====================================================
+++
title = "Readwrite-splitting"
weight = 3
+++
## Background
The read/write splitting configured in Java API form can be easily applied to various scenarios without relying on additional jar packages. Users only need to construct the read/write splitting data source through java code to be able to use the read/write splitting function.
## Parameters Explained
### Entry
Class name: org.apache.shardingsphere.readwritesplitting.api.ReadwriteSplittingRuleConfiguration
Configurable Properties:
| *Name* | *DataType* | *Description* |
|-------------------|-------------------------------------------------------------|------------------------------------------------------------------------|
| dataSources (+) | Collection\<ReadwriteSplittingDataSourceRuleConfiguration\> | Data sources of write and reads |
| loadBalancers (*) | Map\<String, AlgorithmConfiguration\> | Load balance algorithm name and configurations of replica data sources |
### Primary-secondary Data Source Configuration
Class name: org.apache.shardingsphere.readwritesplitting.api.rule.ReadwriteSplittingDataSourceRuleConfiguration
Configurable Properties:
| *Name* | *DataType* | *Description* | *Default Value* |
|------------------------------------|--------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------|------------------------------------|
| name | String | Readwrite-splitting data source name | - |
| writeDataSourceName | String | Write data source name | - |
| readDataSourceNames | List\<String\> | Read data sources list | - |
| transactionalReadQueryStrategy (?) | TransactionalReadQueryStrategy | Routing strategy for read query within a transaction, values include: PRIMARY (to primary), FIXED (to fixed data source), DYNAMIC (to any data source) | DYNAMIC |
| loadBalancerName (?) | String | Load balance algorithm name of replica sources | Round robin load balance algorithm |
Please refer to [Built-in Load Balance Algorithm List](/en/user-manual/common-config/builtin-algorithm/load-balance) for details on algorithm types.
## Operating Procedures
1. Add read-write splitting data source
1. Set load balancing algorithms
1. Use read-write splitting data source
## Configuration Examples
```java
public DataSource getDataSource() throws SQLException {
ReadwriteSplittingDataSourceRuleConfiguration dataSourceConfig = new ReadwriteSplittingDataSourceRuleConfiguration(
"demo_read_query_ds", "demo_write_ds", Arrays.asList("demo_read_ds_0", "demo_read_ds_1"), "demo_weight_lb");
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/java-api/mode.en.md
=====================================================
+++
title = "Mode"
weight = 1
chapter = true
+++
## Background
Build the running mode through Java API.
## Parameters
Class name: org.apache.shardingsphere.infra.config.mode.ModeConfiguration
Attributes:
| *Name* | *DataType* | *Description* | *Default Value* |
|------------|--------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------|
| type | String | Type of mode configuration<br />Values could be: Standalone or Cluster | Standalone |
| repository | PersistRepositoryConfiguration | Persist repository configuration<br />Standalone type uses StandalonePersistRepositoryConfiguration<br />Cluster type uses ClusterPersistRepositoryConfiguration | |
### Standalone Persist Configuration
Class name: org.apache.shardingsphere.mode.repository.standalone.StandalonePersistRepositoryConfiguration
Attributes:
| *Name* | *DataType* | *Description* |
|--------|------------|----------------------------------|
| type | String | Type of persist repository |
| props | Properties | Properties of persist repository |
### Cluster Persist Configuration
Class name: org.apache.shardingsphere.mode.repository.cluster.ClusterPersistRepositoryConfiguration
Attributes:
| *Name* | *Data Type* | *Description* |
|--------------|-------------|----------------------------------|
| type | String | Type of persist repository |
| namespace | String | Namespace of registry center |
| server-lists | String | Server lists of registry center |
| props | Properties | Properties of persist repository |
## Notes
1. Cluster mode deployment is recommended for production environment.
1. The `ZooKeeper` registry center is recommended for cluster mode deployment.
1. If there is configuration information in the `ZooKeeper`, please refer to the config information there.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/java-api/_index.cn.md
=====================================================
+++
title = "Java API"
weight = 2
chapter = true
+++
## 简介
Java API 是 ShardingSphere-JDBC 中所有配置方式的基础，其他配置最终都将转化成为 Java API 的配置方式。
Java API 是最繁琐也是最灵活的配置方式，适合需要通过编程进行动态配置的场景下使用。
## 使用步骤
### 引入 Maven 依赖
```xml
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-jdbc</artifactId>
<version>${shardingsphere.version}</version>
</dependency>
```
### 构建数据源
ShardingSphere-JDBC 的 Java API 由 Database 名称、运行模式、数据源集合、规则集合以及属性配置组成。
通过 ShardingSphereDataSourceFactory 工厂创建的 ShardingSphereDataSource 实现自 JDBC 的标准接口 DataSource。
```java
String databaseName = "foo_schema"; // 指定逻辑 Database 名称
ModeConfiguration modeConfig = ... // 构建运行模式
Map<String, DataSource> dataSourceMap = ... // 构建真实数据源
Collection<RuleConfiguration> ruleConfigs = ... // 构建具体规则
Properties props = ... // 构建属性配置
DataSource dataSource = ShardingSphereDataSourceFactory.createDataSource(databaseName, modeConfig, dataSourceMap, ruleConfigs, props);
```
模式详情请参见[模式配置](/cn/user-manual/shardingsphere-jdbc/java-api/mode)。
数据源详情请参见[数据源配置](/cn/user-manual/shardingsphere-jdbc/java-api/data-source)。
规则详情请参见[规则配置](/cn/user-manual/shardingsphere-jdbc/java-api/rules)。
### 使用数据源
可通过 DataSource 选择使用原生 JDBC，或 JPA、Hibernate、MyBatis 等 ORM 框架。
以原生 JDBC 使用方式为例：
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/java-api/mode.cn.md
=====================================================
+++
title = "模式配置"
weight = 1
chapter = true
+++
## 背景信息
通过 Java API 方式构建运行模式。
## 参数解释
类名称：org.apache.shardingsphere.infra.config.mode.ModeConfiguration
可配置属性：
| *名称* | *数据类型* | *说明* | *默认值* |
|------------|--------------------------------|-------------------------------------------------------------------------------------------------------------------------------|------------|
| type | String | 运行模式类型<br />可选配置：Standalone、Cluster | Standalone |
| repository | PersistRepositoryConfiguration | 持久化仓库配置<br />Standalone 类型使用 StandalonePersistRepositoryConfiguration<br />Cluster 类型使用 ClusterPersistRepositoryConfiguration | | | false |
### Standalone 持久化配置
类名称：org.apache.shardingsphere.mode.repository.standalone.StandalonePersistRepositoryConfiguration
可配置属性：
| *名称* | *数据类型* | *说明* |
|-------|------------|-----------|
| type | String | 持久化仓库类型 |
| props | Properties | 持久化仓库所需属性 |
### Cluster 持久化配置
类名称：org.apache.shardingsphere.mode.repository.cluster.ClusterPersistRepositoryConfiguration
可配置属性：
| *名称* | *数据类型* | *说明* |
|--------------|------------|-----------|
| type | String | 持久化仓库类型 |
| namespace | String | 注册中心命名空间 |
| server-lists | String | 注册中心连接地址 |
| props | Properties | 持久化仓库所需属性 |
## 注意事项
1. 生产环境建议使用集群模式部署。
1. 集群模式部署推荐使用 `ZooKeeper` 注册中心。
1. `ZooKeeper` 存在配置信息时，则以 `ZooKeeper` 中的配置为准。
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/java-api/_index.en.md
=====================================================
+++
title = "Java API"
weight = 2
chapter = true
+++
## Overview
Java API is the basic configuration methods in ShardingSphere-JDBC,
and other configurations will eventually be transformed into Java API configuration methods.
The Java API is the most complex and flexible configuration method, which is suitable for the scenarios requiring dynamic configuration through programming.
## Usage
### Import Maven Dependency
```xml
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-jdbc</artifactId>
<version>${shardingsphere.version}</version>
</dependency>
```
### Create Data Source
ShardingSphere-JDBC Java API consists of database name, mode configuration, data source map, rule configurations and properties.
The ShardingSphereDataSource created by ShardingSphereDataSourceFactory implements the standard JDBC DataSource interface.
```java
String databaseName = "foo_schema"; // Indicate logic database name
ModeConfiguration modeConfig = ... // Build mode configuration
Map<String, DataSource> dataSourceMap = ... // Build actual data sources
Collection<RuleConfiguration> ruleConfigs = ... // Build concentrate rule configurations
Properties props = ... // Build properties
DataSource dataSource = ShardingSphereDataSourceFactory.createDataSource(databaseName, modeConfig, dataSourceMap, ruleConfigs, props);
```
Please refer to [Mode Configuration](/en/user-manual/shardingsphere-jdbc/java-api/mode) for more mode details.
Please refer to [Data Source Configuration](/en/user-manual/shardingsphere-jdbc/java-api/data-source) for more data source details.
Please refer to [Rules Configuration](/en/user-manual/shardingsphere-jdbc/java-api/rules) for more rule details.
### Use Data Source
Developer can choose to use native JDBC or ORM frameworks such as JPA, Hibernate or MyBatis through the DataSource.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/java-api/algorithm.en.md
=====================================================
+++
title = "Algorithm"
weight = 4
chapter = true
+++
## Sharding
```java
ShardingRuleConfiguration ruleConfiguration = new ShardingRuleConfiguration();
// algorithmName is specified by users and should be consistent with the sharding algorithm in the sharding strategy.
// type and props, please refer to the built-in sharding algorithm: https://shardingsphere.apache.org/document/current/en/user-manual/common-config/builtin-algorithm/sharding/
ruleConfiguration.getShardingAlgorithms().put("algorithmName", new AlgorithmConfiguration("xxx", new Properties()));
```
## Encryption
```java
// encryptorName is specified by users, and its property should be consistent with that of encryptorName in encryption rules.
// type and props, please refer to the built-in encryption algorithm: https://shardingsphere.apache.org/document/current/en/user-manual/common-config/builtin-algorithm/encrypt/
Map<String, AlgorithmConfiguration> algorithmConfigs = new HashMap<>();
algorithmConfigs.put("encryptorName", new AlgorithmConfiguration("xxx", new Properties()));
```
## Read/Write Splitting Load Balancer
```java
// loadBalancerName is specified by users, and its property has to be consistent with that of loadBalancerName in read/write splitting rules.
// type and props, please refer to the built-in read/write splitting algorithm load balancer: https://shardingsphere.apache.org/document/current/en/user-manual/common-config/builtin-algorithm/load-balance/
Map<String, AlgorithmConfiguration> algorithmConfigs = new HashMap<>();
algorithmConfigs.put("loadBalancerName", new AlgorithmConfiguration("xxx", new Properties()));
```
## Shadow DB
```java
// shadowAlgorithmName is specified by users, and its property has to be consistent with that of shadowAlgorithmNames in shadow DB rules.
// type and props, please refer to the built-in shadow DB algorithm: https://shardingsphere.apache.org/document/current/en/user-manual/common-config/builtin-algorithm/shadow/
Map<String, AlgorithmConfiguration> algorithmConfigs = new HashMap<>();
algorithmConfigs.put("shadowAlgorithmName", new AlgorithmConfiguration("xxx", new Properties()));
```
## High Availability
```
// discoveryTypeName is specified by users, and its property has to be consistent with that of discoveryTypeName in database discovery rules.
Map<String, AlgorithmConfiguration> algorithmConfigs = new HashMap<>();
algorithmConfigs.put("discoveryTypeName", new AlgorithmConfiguration("xxx", new Properties()));
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/java-api/algorithm.cn.md
=====================================================
+++
title = "算法配置"
weight = 4
chapter = true
+++
## 分片算法
```java
ShardingRuleConfiguration ruleConfiguration = new ShardingRuleConfiguration();
// algorithmName 由用户指定，需要和分片策略中的分片算法一致
// type 和 props，请参考分片内置算法：https://shardingsphere.apache.org/document/current/cn/user-manual/common-config/builtin-algorithm/sharding/
ruleConfiguration.getShardingAlgorithms().put("algorithmName", new AlgorithmConfiguration("xxx", new Properties()));
```
## 加密算法
```java
// encryptorName 由用户指定，需要和加密规则中的 encryptorName 属性一致
// type 和 props，请参考加密内置算法：https://shardingsphere.apache.org/document/current/cn/user-manual/common-config/builtin-algorithm/encrypt/
Map<String, AlgorithmConfiguration> algorithmConfigs = new HashMap<>();
algorithmConfigs.put("encryptorName", new AlgorithmConfiguration("xxx", new Properties()));
```
## 读写分离负载均衡算法
```java
// loadBalancerName 由用户指定，需要和读写分离规则中的 loadBalancerName 属性一致
// type 和 props，请参考读写分离负载均衡内置算法：https://shardingsphere.apache.org/document/current/cn/user-manual/common-config/builtin-algorithm/load-balance/
Map<String, AlgorithmConfiguration> algorithmConfigs = new HashMap<>();
algorithmConfigs.put("loadBalancerName", new AlgorithmConfiguration("xxx", new Properties()));
```
## 影子算法
```java
// shadowAlgorithmName 由用户指定，需要和影子库规则中的 shadowAlgorithmNames 属性一致
// type 和 props，请参考影子库内置算法：https://shardingsphere.apache.org/document/current/cn/user-manual/common-config/builtin-algorithm/shadow/
Map<String, AlgorithmConfiguration> algorithmConfigs = new HashMap<>();
algorithmConfigs.put("shadowAlgorithmName", new AlgorithmConfiguration("xxx", new Properties()));
```
## 脱敏算法
```java
// maskAlgorithmName 由用户指定，需要和脱敏规则中的 maskAlgorithm 属性一致
// type 和 props，请参考脱敏内置算法：https://shardingsphere.apache.org/document/current/cn/user-manual/common-config/builtin-algorithm/mask/
Map<String, AlgorithmConfiguration> algorithmConfigs = new HashMap<>();
algorithmConfigs.put("maskAlgorithmName", new AlgorithmConfiguration("xxx", new Properties()));
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-jdbc/java-api/data-source.en.md
=====================================================
+++
title = "Data Source"
weight = 2
chapter = true
+++
## Background
ShardingSphere-JDBC supports all database JDBC drivers and connection pools.
This section describes how to configure data sources through the `JAVA API`.
## Procedure
### 1. Import Maven dependency.
```xml
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-jdbc</artifactId>
<version>${latest.release.version}</version>
</dependency>
```
> Notice: Please change `${latest.release.version}` to the actual version.
## Sample
```java
ModeConfiguration modeConfig = // Build running mode
Map<String, DataSource> dataSourceMap = createDataSources();
Collection<RuleConfiguration> ruleConfigs = ... // Build specific rules
Properties props = ... // Build attribute configuration
DataSource dataSource = ShardingSphereDataSourceFactory.createDataSource(databaseName, modeConfig, dataSourceMap, ruleConfigs, props);
private Map<String, DataSource> createDataSources() {
Map<String, DataSource> dataSourceMap = new HashMap<>();
// Configure the 1st data source
HikariDataSource dataSource1 = new HikariDataSource();
dataSource1.setDriverClassName("com.mysql.jdbc.Driver");
dataSource1.setJdbcUrl("jdbc:mysql://localhost:3306/ds_1");
dataSource1.setUsername("root");
dataSource1.setPassword("");
dataSourceMap.put("ds_1", dataSource1);
// Configure the 2nd data source
HikariDataSource dataSource2 = new HikariDataSource();
dataSource2.setDriverClassName("com.mysql.jdbc.Driver");
dataSource2.setJdbcUrl("jdbc:mysql://localhost:3306/ds_2");
dataSource2.setUsername("root");
=====================================================
== File: docs/document/content/user-manual/common-config/builtin-algorithm/expr.cn.md
=====================================================
+++
title = "行表达式"
weight = 10
+++
## 使用 Groovy 语法的行表达式
在配置中使用 `${ expression }` 或 `$->{ expression }` 标识 Groovy 表达式即可。 Groovy 表达式使用的是 Groovy 的语法，Groovy 能够支持的所有操作，行表达式均能够支持。
`${begin..end}` 表示范围区间； `${[unit1, unit2, unit_x]}` 表示枚举值。
行表达式中如果出现连续多个 `${ expression }` 或 `$->{ expression }` 表达式，整个表达式最终的结果将会根据每个子表达式的结果进行笛卡尔组合。
类型：GROOVY
用例：
- `<GROOVY>t_order_${1..3}` 将被转化为 `t_order_1, t_order_2, t_order_3`
- `<GROOVY>${['online', 'offline']}_table${1..3}` 将被转化为 `online_table1, online_table2, online_table3, offline_table1, offline_table2, offline_table3`
## 使用标准列表的行表达式
`LITERAL` 实现将不对表达式部分做任何符号的转化，从标准列表的输入直接获得标准列表的输出。此有助于解决 GraalVM Native Image 下不便于使用 Groovy 表达式的问题。
类型：LITERAL
用例：
- `<LITERAL>t_order_1, t_order_2, t_order_3` 将被转化为 `t_order_1, t_order_2, t_order_3`
- `<LITERAL>t_order_${1..3}` 将被转化为 `t_order_${1..3}`
## 基于固定时间范围的 Key-Value 语法的行表达式
`INTERVAL` 实现引入了 Key-Value 风格的属性语法，来通过单行字符串定义一组时间范围内的字符串。这通常用于简化对 `数据分片` 功能的 `actualDataNodes` 的定义。
`INTERVAL` 实现定义多个属性的方式为 `Key1=Value1;Key2=Value2`，通过 `;` 号分割键值对，通过 `=` 号分割 `Key` 值和 `Value` 值。
此实现主动忽视了 `SP` 的时区信息，这意味着当 `DL` 和 `DU` 含有时区信息时，不会因为时区不一致而发生时区转换。
此实现键值对的顺序不敏感， 行表达式尾部不携带 `;` 号。
`INTERVAL` 实现引入了如下 Key 的键值：
1. `P` 代表 prefix 的缩写，意为结果列表单元的前缀, 通常代表真实表的前缀格式。
2. `SP` 代表 suffix pattern 的缩写，意为结果列表单元的后缀的时间戳格式, 通常代表真实表的后缀格式，必须遵循 Java DateTimeFormatter 的格式。
例如：yyyyMMdd，yyyyMM 或 yyyy 等。
3. `DIA` 代表 datetime interval amount 的缩写，意为结果列表单元的时间间隔。
4. `DIU` 代表 datetime interval unit 的缩写，意为分片键时间间隔单位，必须遵循 Java `java.time.temporal.ChronoUnit#toString()` 的枚举值。例如：`Months`。
5. `DL` 代表 datetime lower 的缩写，意为时间下界值，格式与 `SP` 定义的时间戳格式一致。
6. `DU` 代表 datetime upper 的缩写，意为时间上界值，格式与 `SP` 定义的时间戳格式一致。
7. `C` 代表 chronology 的缩写，意为日历系统，必须遵循 Java `java.time.chrono.Chronology#getId()` 的格式。
例如：`Japanese`，`Minguo`，`ThaiBuddhist`。存在默认值为 `ISO`。
=====================================================
== File: docs/document/content/user-manual/common-config/builtin-algorithm/sql-translator.en.md
=====================================================
+++
title = "SQL Translator"
weight = 7
+++
## Native SQL translator
Type: NATIVE
Attributes:
None
**Default SQL translator, does not implement yet.**
=====================================================
== File: docs/document/content/user-manual/common-config/builtin-algorithm/shadow.en.md
=====================================================
+++
title = "Shadow Algorithm"
weight = 6
+++
## Background
The shadow DB feature carries out shadow measurement to SQL statements executed. Shadow measurement supports two types of algorithms, and users can choose one or a combination of them based on actual business needs.
## Parameters
### Column-based shadow algorithm
#### Column value matching shadow algorithm
Type：VALUE_MATCH
| *Attribute Name* | *Data Type* | *Description* |
|------------------|-------------|-----------------------------------------------------|
| column | String | shadow column |
| operation | String | SQL operation type (INSERT, UPDATE, DELETE, SELECT) |
| value | String | value matched by shadow column |
#### Column-based Regex matching algorithm
Type：REGEX_MATCH
| *Attribute Name* | *Data Type* | *Description* |
|------------------|-------------|----------------------------------------------------|
| column | String | match a column |
| operation | String | SQL operation type（INSERT, UPDATE, DELETE, SELECT） |
| regex | String | shadow column matching Regex |
### Hint-based shadow algorithm
#### SQL HINT shadow algorithm
Type：SQL_HINT
```sql
/* SHARDINGSPHERE_HINT: SHADOW=true */
```
## Configuration sample
- Java API
```java
public final class ShadowConfiguration {
// ...
=====================================================
== File: docs/document/content/user-manual/common-config/builtin-algorithm/encrypt.en.md
=====================================================
+++
title = "Encryption Algorithm"
weight = 5
+++
## Background
Encryption algorithms are by the encryption features of Apache ShardingSphere. A variety of algorithms are built-in to make it easy for users to fully leverage the feature.
## Parameters
### Standard Encrypt Algorithm
#### AES Encrypt Algorithm
Type: AES
Attributes:
| *Name* | *DataType* | *Description* |
|-----------------------|------------|-----------------------------------------------------|
| aes-key-value | String | AES KEY |
| digest-algorithm-name | String | AES KEY DIGEST ALGORITHM (optional, default: SHA-1) |
### Assisted Encrypt Algorithm
#### MD5 Assisted Encrypt Algorithm
Type: MD5
Attributes:
| *Name* | *DataType* | *Description* |
|--------|------------|----------------------|
| salt | String | Salt value(optional) |
## Operating Procedure
1. Configure encryptors in an encryption rule.
2. Use relevant algorithm types in encryptors.
## Configuration Examples
```yaml
rules:
- !ENCRYPT
tables:
t_user:
columns:
username:
cipher:
=====================================================
== File: docs/document/content/user-manual/common-config/builtin-algorithm/expr.en.md
=====================================================
+++
title = "Row Value Expressions"
weight = 10
+++
## Row Value Expressions that uses the Groovy syntax
Type: GROOVY
Just use `${ expression }` or `$->{ expression }` in the configuration to identify the row expressions.
The content of row expressions uses Groovy syntax, and all operations supported by Groovy are supported by row expressions.
`${begin..end}` denotes the range interval, `${[unit1, unit2, unit_x]}` denotes the enumeration value.
If there are multiple `${ expression }` or `$->{ expression }` expressions in a row expression, the final result of the
whole expression will be a Cartesian combination based on the result of each sub-expression.
Example:
- `<GROOVY>t_order_${1..3}` will be converted to `t_order_1, t_order_2, t_order_3`
- `<GROOVY>${['online', 'offline']}_table${1..3}` will be converted to `online_table1, online_table2, online_table3, offline_table1, offline_table2, offline_table3`
## Row Value Expressions that uses a standard list
The `LITERAL` implementation will not convert any symbols to the expression part, and will directly obtain the output of
the standard list from the input of the standard list.
This helps address the issue that Groovy expressions are inconvenient to use under GraalVM Native Image.
Type: LITERAL
Example:
- `<LITERAL>t_order_1, t_order_2, t_order_3` will be converted to `t_order_1, t_order_2, t_order_3`
- `<LITERAL>t_order_${1..3}` will be converted to `t_order_${1..3}`
## Row Value Expressions based on fixed interval that uses the Key-Value syntax
The `INTERVAL` implementation introduces a Key-Value style property syntax to define a set of time ranges of strings via a single line string.
This is often used to simplify the definition of `actualDataNodes` for `Sharding` feature.
`INTERVAL` implements the method of defining multiple attributes as `Key1=Value1;Key2=Value2`, using `;` to separate key-value pairs, and `=` to separate `Key` values and `Value` values.
This implementation actively ignores the time zone information of `SP`, which means that when `DL` and `DU` contain time zone information,
no time zone conversion will occur due to inconsistent time zones.
This implementation is not sensitive to the order of key-value pairs, and the line expression does not carry the `;` sign at the end.
The `INTERVAL` implementation introduces the following Key values:
1. `P` stands for the abbreviation of prefix, which means the prefix of the result list unit, usually representing the prefix format of the real table.
2. `SP` stands for the abbreviation of suffix pattern, which means the timestamp format of the suffix of the result list unit.
It usually represents the suffix format of the real table and must follow the format of Java DateTimeFormatter.
=====================================================
== File: docs/document/content/user-manual/common-config/builtin-algorithm/_index.cn.md
=====================================================
+++
title = "内置算法"
weight = 2
chapter = true
+++
## 简介
Apache ShardingSphere 通过 SPI 方式允许开发者扩展算法；
与此同时，Apache ShardingSphere 也提供了大量的内置算法以便于开发者使用。
## 使用方式
内置算法均通过 type 和 props 进行配置，其中 type 由算法定义在 SPI 中，props 用于传递算法的个性化参数配置。
无论使用哪种配置方式，均是将配置完毕的算法命名，并传递至相应的规则配置中。
本章节根据功能区分并罗列 Apache ShardingSphere 全部的内置算法，供开发者参考。
=====================================================
== File: docs/document/content/user-manual/common-config/builtin-algorithm/keygen.en.md
=====================================================
+++
title = "Key Generate Algorithm"
weight = 3
+++
## Background
In traditional database software development, automatic primary key generation is a basic requirement and various databases provide support for this requirement, such as MySQL's self-incrementing keys, Oracle's self-incrementing sequences, etc.
After data sharding, it is a very tricky problem to generate global unique primary keys from different data nodes. Self-incrementing keys between different actual tables within the same logical table generate duplicate primary keys because they are not mutually perceived.
Although collisions can be avoided by constraining the initial value and step size of self-incrementing primary keys, additional O&M rules must to be introduced, making the solution lack completeness and scalability.
There are many third-party solutions that can perfectly solve this problem, such as UUID, which relies on specific algorithms to generate non-duplicate keys, or by introducing primary key generation services.
In order to cater to the requirements of different users in different scenarios, Apache ShardingSphere not only provides built-in distributed primary key generators, such as UUID, SNOWFLAKE, but also abstracts the interface of distributed primary key generators to facilitate users to implement their own customized primary key generators.
## Parameters
### Snowflake
Type: SNOWFLAKE
Attributes:
| *Name* | *DataType* | *Description* | *Default Value* |
|-----------------------------------------------|------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------|
| worker-id (?) | long | The unique ID for working machine | 0 |
| max-tolerate-time-difference-milliseconds (?) | long | The max tolerate time for different server's time difference in milliseconds | 10 milliseconds |
| max-vibration-offset (?) | int | The max upper limit value of vibrate number, range `[0, 4096)`. Notice: To use the generated value of this algorithm as sharding value, it is recommended to configure this property. The algorithm generates key mod `2^n` (`2^n` is usually the sharding amount of tables or databases) in different milliseconds and the result is always `0` or `1`. To prevent the above sharding problem, it is recommended to configure this property, its value is `(2^n)-1` | 1 |
*Note*: worker-id is optional
1. In standalone mode, support user-defined configuration, if the user does not configure the default value of 0.
2. In cluster mode, it will be automatically generated by the system, and duplicate values will not be generated in the same namespace.
### UUID
Type: UUID
Attributes: None
## Procedure
1. Policy of distributed primary key configurations is for columns when configuring data sharding rules.
## Sample
- Snowflake Algorithms
```PlainText
=====================================================
== File: docs/document/content/user-manual/common-config/builtin-algorithm/mask.en.md
=====================================================
+++
title = "Data Masking Algorithm"
weight = 9
+++
## Background
Data masking algorithms are by the mask features of Apache ShardingSphere. A variety of algorithms are built-in to make it easy for users to fully leverage the feature.
## Parameters
### Hash Data Masking Algorithm
#### MD5 Data Masking Algorithm
Type: MD5
Attributes:
| *Name* | *DataType* | *Description* |
|--------|------------|-----------------------|
| salt | String | Salt value (optional) |
### Mask Data Masking Algorithm
#### Keep First N Last M Data Masking Algorithm
Type: KEEP_FIRST_N_LAST_M
Attributes:
| *Name* | *DataType* | *Description* |
|--------------|------------|-------------------|
| first-n | int | first n substring |
| last-m | int | last m substring |
| replace-char | String | replace char |
#### Keep From X To Y Data Masking Algorithm
Type: KEEP_FROM_X_TO_Y
Attributes:
| *Name* | *DataType* | *Description* |
|--------------|------------|-------------------------|
| from-x | int | start position (from 0) |
| to-y | int | end position (from 0) |
| replace-char | String | replace char |
#### Mask First N Last M Data Masking Algorithm
=====================================================
== File: docs/document/content/user-manual/common-config/builtin-algorithm/audit.en.md
=====================================================
+++
title = "Sharding Audit Algorithm"
weight = 8
+++
## Background
The sharding audit is to audit the SQL statements in the sharding database. Sharding audit not only intercept illegal SQL statements, but also gather the SQL statistics.
## Parameters
### DML_SHARDING_CONDITIONS algorithm
Type: DML_SHARDING_CONDITIONS
## Procedure
1. when configuring data sharding rules, create sharding audit configurations.
## Sample
- DML_SHARDING_CONDITIONS
```yaml
auditors:
sharding_key_required_auditor:
type: DML_SHARDING_CONDITIONS
```
=====================================================
== File: docs/document/content/user-manual/common-config/builtin-algorithm/_index.en.md
=====================================================
+++
title = "Builtin Algorithm"
weight = 2
chapter = true
+++
## Introduction
Apache ShardingSphere allows developers to implement algorithms via SPI;
At the same time, Apache ShardingSphere also provides a couple of builtin algorithms for simplify developers.
## Usage
The builtin algorithms are configured by type and props.
Type is defined by the algorithm in SPI, and props is used to deliver the customized parameters of the algorithm.
No matter which configuration type is used, the configured algorithm is named and passed to the corresponding rule configuration.
This chapter distinguishes and lists all the builtin algorithms of Apache ShardingSphere according to its functions for developers' reference.
=====================================================
== File: docs/document/content/user-manual/common-config/builtin-algorithm/load-balance.en.md
=====================================================
+++
title = "Load Balance Algorithm"
weight = 4
+++
## Background
ShardingSphere built-in provides a variety of load balancer algorithms, including polling algorithm, random access algorithm and weight access algorithm, which can meet users' needs in most business scenarios.
Moreover, considering the complexity of the business scenario, the built-in algorithm also provides an extension mode. Users can implement the load balancer algorithm they need based on SPI interface.
## Parameters
### Round-robin Load Balance Algorithm
Type: ROUND_ROBIN
### Random Load Balance Algorithm
Type: RANDOM
### Weight Load Balance Algorithm
Type: WEIGHT
Attributes:
| *Name* | *DataType* | *Description* |
|-----------------|------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| ${replica-name} | double | Attribute name uses the name of the replica, and the parameter fills in the weight value corresponding to the replica. Weight parameter range min > 0, total <= Double.MAX_VALUE. |
## Procedure
1. Configure a load balancer algorithm for the loadBalancers attribute to use read/write splitting.
## Sample
```yaml
rules:
- !READWRITE_SPLITTING
dataSources:
readwrite_ds:
writeDataSourceName: write_ds
readDataSourceNames:
- read_ds_0
- read_ds_1
transactionalReadQueryStrategy: PRIMARY
loadBalancerName: random
loadBalancers:
random:
=====================================================
== File: docs/document/content/user-manual/common-config/builtin-algorithm/metadata-repository.en.md
=====================================================
+++
title = "Metadata Repository"
weight = 1
+++
## Background
Apache ShardingSphere provides different metadata persistence methods for different running modes. Users can freely choose the most appropriate way to store metadata while configuring the running mode.
## Parameters
### Database Repository
Type: JDBC
Mode: Standalone
Attributes:
| *Name* | *Type* | *Description* | *Default Value* |
|----------|--------|------------------------------------------------------------|-------------------------------------------------------------------------|
| provider | String | Type for metadata persist, the optional value is H2, MySQL | H2 |
| jdbc_url | String | JDBC URL | jdbc:h2:mem:config;DB_CLOSE_DELAY=-1;DATABASE_TO_UPPER=false;MODE=MYSQL |
| username | String | username | sa |
| password | String | password | |
### ZooKeeper Repository
Type: ZooKeeper
Mode: Cluster
Attributes:
| *Name* | *Type* | *Description* | *Default Value* |
|------------------------------|--------|-----------------------------------|-----------------|
| retryIntervalMilliseconds | int | Milliseconds of retry interval | 500 |
| maxRetries | int | Max retries of client connection | 3 |
| timeToLiveSeconds | int | Seconds of ephemeral data live | 60 |
| operationTimeoutMilliseconds | int | Milliseconds of operation timeout | 500 |
| digest | String | Password of login | |
### Etcd Repository
Type: Etcd
Mode: Cluster
Attributes:
=====================================================
== File: docs/document/content/user-manual/common-config/builtin-algorithm/sharding.en.md
=====================================================
+++
title = "Sharding Algorithm"
weight = 2
+++
## Background
ShardingSphere built-in algorithms provide a variety of sharding algorithms, which can be divided into automatic sharding algorithms, standard sharding algorithms, composite sharding algorithms, and hint sharding algorithms, and can meet the needs of most business scenarios of users.
Additionally, considering the complexity of business scenarios, the built-in algorithm also provides a way to customize the sharding algorithm. Users can complete complex sharding logic by writing java code.
It should be noted that the sharding logic of the automatic sharding algorithm is automatically managed by ShardingSphere and needs to be used by configuring the autoTables sharding rules.
## Parameters
### Auto Sharding Algorithm
#### Modulo Sharding Algorithm
Type: MOD
Attributes:
| *Name* | *DataType* | *Description* |
|----------------|------------|----------------|
| sharding-count | int | Sharding count |
#### Hash Modulo Sharding Algorithm
Type: HASH_MOD
Attributes:
| *Name* | *DataType* | *Description* |
|----------------|------------|----------------|
| sharding-count | int | Sharding count |
#### Volume Based Range Sharding Algorithm
Type: VOLUME_RANGE
Attributes:
| *Name* | *DataType* | *Description* |
|-----------------|------------|--------------------------------------------------------|
| range-lower | long | Range lower bound, throw exception if lower than bound |
| range-upper | long | Range upper bound, throw exception if upper than bound |
| sharding-volume | long | Sharding volume |
#### Boundary Based Range Sharding Algorithm
=====================================================
== File: docs/document/content/user-manual/common-config/props.cn.md
=====================================================
+++
title = "属性配置"
weight = 1
chapter = true
+++
## 背景信息
Apache ShardingSphere 提供属性配置的方式配置系统级配置。
## 参数解释
| *名称* | *数据类型* | *说明* | *默认值* |
|------------------------------------|---------|-------------------------------------------------------------------------------------------------------------------------------------|----------|
| sql-show (?) | boolean | 是否在日志中打印 SQL<br /> 打印 SQL 可以帮助开发者快速定位系统问题。日志内容包含：逻辑 SQL，真实 SQL 和 SQL 解析结果。<br /> 如果开启配置，日志将使用 Topic `ShardingSphere-SQL`，日志级别是 INFO | false |
| sql-simple (?) | boolean | 是否在日志中打印简单风格的 SQL | false |
| kernel-executor-size (?) | int | 用于设置任务处理线程池的大小<br />每个 ShardingSphereDataSource 使用一个独立的线程池，同一个 JVM 的不同数据源不共享线程池 | infinite |
| max-connections-size-per-query (?) | int | 一次查询请求在每个数据库实例中所能使用的最大连接数 | 1 |
| check-table-metadata-enabled (?) | boolean | 在程序启动和更新时，是否检查分片元数据的结构一致性 | false |
## 操作步骤
属性配置直接配置在 ShardingSphere-JDBC 所使用的配置文件中，格式如下：
```yaml
props:
sql-show: true
```
## 配置示例
ShardingSphere 仓库的示例中包含了多种不同场景的属性配置，请参考：<https://github.com/apache/shardingsphere/blob/master/examples>
=====================================================
== File: docs/document/content/user-manual/common-config/_index.cn.md
=====================================================
+++
pre = "<b>4.3. </b>"
title = "通用配置"
weight = 3
chapter = true
+++
本章主要介绍通用配置，包括属性配置和内置算法配置。
=====================================================
== File: docs/document/content/user-manual/common-config/sql-hint.en.md
=====================================================
+++
title = "SQL Hint"
weight = 3
chapter = true
+++
## Background
At present, most relational databases basically provide SQL Hint as a supplement to SQL syntax. SQL Hint allows users to intervene in the execution process of SQL through the built-in Hint syntax of the database, to complete some special functions or realize optimization of SQL execution.
ShardingSphere also provides SQL Hint syntax, allowing users to perform force route for sharding and read-write splitting, and data source pass through.
## Use specification
The SQL Hint syntax of ShardingSphere needs to be written in SQL in the form of comments. The SQL Hint syntax format only supports `/* */` temporarily, and the Hint content needs to start with `SHARDINGSPHERE_HINT:`, and then define the attribute key/value pairs corresponding to different features, separated by commas when there are multiple attributes.
The SQL Hint syntax format of ShardingSphere is as follows:
```sql
/* SHARDINGSPHERE_HINT: {key} = {value}, {key} = {value} */ SELECT * FROM t_order;
```
If you use the MySQL client to connect, you need to add the `-c` option to retain comments, and the client defaults to `--skip-comments` to filter comments.
## Parameters
The following attributes can be defined in ShardingSphere SQL Hint. In order to be compatible with the lower version SQL Hint syntax, the attributes defined in the alias can also be used:
| *Name* | *Alias* | *Data Type* | *Description* | *Default Value* |
|-----------------------------|-----------------------|-------------|---------------------------------------------------------------------------|-----------------|
| SHARDING_DATABASE_VALUE (?) | shardingDatabaseValue | Comparable | Database sharding value, used when config Hint sharding strategy | - |
| SHARDING_TABLE_VALUE (?) | shardingTableValue | Comparable | Table sharding value, used when config Hint sharding strategy | - |
| WRITE_ROUTE_ONLY (?) | writeRouteOnly | boolean | Route to the write datasource when use readwrite-splitting | false |
| DATA_SOURCE_NAME (?) | dataSourceName | String | Data source pass through, route SQL directly to the specified data source | - |
| SKIP_SQL_REWRITE (?) | skipSQLRewrite | boolean | Skip the SQL rewrite phase | false |
| DISABLE_AUDIT_NAMES (?) | disableAuditNames | String | Disable the specified SQL audit algorithm | - |
| SHADOW (?) | shadow | boolean | Route to the shadow datasource when use shadow | false |
## SQL Hint
### Sharding
The optional attributes of sharding SQL Hint include:
- `{table}.SHARDING_DATABASE_VALUE`: used to add data source sharding value corresponding to the `{table}` table, multiple attributes are separated by commas;
- `{table}.SHARDING_TABLE_VALUE`: used to add table sharding value corresponding to the `{table}` table, multiple attributes are separated by commas.
> In the case of only database sharding, when forcing routing to a certain datasource, you can use the `SHARDING_DATABASE_VALUE` method to set the sharding value without specifying `{table}`.
An example of using the SQL Hint of sharding:
=====================================================
== File: docs/document/content/user-manual/common-config/_index.en.md
=====================================================
+++
pre = "<b>4.3. </b>"
title = "Common Configuration"
weight = 3
chapter = true
+++
This chapter mainly introduces general configuration, including property configuration and built-in algorithm configuration.
=====================================================
== File: docs/document/content/user-manual/common-config/props.en.md
=====================================================
+++
title = "Properties Configuration"
weight = 1
chapter = true
+++
## Background
Apache ShardingSphere provides the way of property configuration to configure system level configuration.
## Parameters
| *Name* | *Data Type* | *Description* | *Default Value* |
|------------------------------------|-------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------|
| sql-show (?) | boolean | Whether show SQL or not in log. <br /> Print SQL details can help developers debug easier. The log details include: logic SQL, actual SQL and SQL parse result. <br /> Enable this property will log into log topic `ShardingSphere-SQL`, log level is INFO | false |
| sql-simple (?) | boolean | Whether show SQL details in simple style | false |
| kernel-executor-size (?) | int | The max thread size of worker group to execute SQL. One ShardingSphereDataSource will use a independent thread pool, it does not share thread pool even different data source in same JVM | infinite |
| max-connections-size-per-query (?) | int | Max opened connection size for each query | 1 |
| check-table-metadata-enabled (?) | boolean | Whether validate table meta data consistency when application startup or updated | false |
## Procedure
1. Properties configuration is directly configured in the profile used by ShardingSphere-JDBC. The format is as follows:
```yaml
props:
sql-show: true
```
## Sample
The example of ShardingSphere warehouse contains property configurations of various scenarios. Please refer to: <https://github.com/apache/shardingsphere/tree/master/examples>
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/observability/_index.cn.md
=====================================================
+++
title = "可观察性"
weight = 5
+++
## Agent
### 源码编译
从 Github 下载 Apache ShardingSphere 源码，对源码进行编译，操作命令如下。
```shell
git clone --depth 1 https://github.com/apache/shardingsphere.git
cd shardingsphere
mvn clean install -DskipITs -DskipTests -Prelease
```
Agent 制品 `distribution/agent/target/apache-shardingsphere-${latest.release.version}-shardingsphere-agent-bin.tar.gz`
Proxy 制品 `distribution/proxy/target/apache-shardingsphere-${latest.release.version}-shardingsphere-proxy-bin.tar.gz`
### 目录说明
创建 agent 目录，解压 agent 二进制包到 agent 目录。
```shell
mkdir agent
tar -zxvf apache-shardingsphere-${latest.release.version}-shardingsphere-agent-bin.tar.gz -C agent
cd agent
tree
├── LICENSE
├── NOTICE
├── conf
│ └── agent.yaml
├── plugins
│ ├── lib
│ │ ├── shardingsphere-agent-metrics-core-${latest.release.version}.jar
│ │ └── shardingsphere-agent-plugin-core-${latest.release.version}.jar
│ ├── logging
│ │ └── shardingsphere-agent-logging-file-${latest.release.version}.jar
│ ├── metrics
│ │ └── shardingsphere-agent-metrics-prometheus-${latest.release.version}.jar
│ └── tracing
│ ├── shardingsphere-agent-tracing-opentelemetry-${latest.release.version}.jar
└── shardingsphere-agent-${latest.release.version}.jar
```
### 配置说明
`conf/agent.yaml` 用于管理 agent 配置。内置插件包括 File、Prometheus、OpenTelemetry。
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/observability/_index.en.md
=====================================================
+++
title = "Observability"
weight = 5
+++
## Agent
### Compile source code
Download Apache ShardingSphere from GitHub,Then compile.
```shell
git clone --depth 1 https://github.com/apache/shardingsphere.git
cd shardingsphere
mvn clean install -DskipITs -DskipTests -Prelease
```
Agent artifact is `distribution/agent/target/apache-shardingsphere-${latest.release.version}-shardingsphere-agent-bin.tar.gz`
Proxy artifact is `distribution/proxy/target/apache-shardingsphere-${latest.release.version}-shardingsphere-proxy-bin.tar.gz`
### Directory structure
Create agent directory, and unzip agent distribution package to the directory.
```shell
mkdir agent
tar -zxvf apache-shardingsphere-${latest.release.version}-shardingsphere-agent-bin.tar.gz -C agent
cd agent
tree
├── LICENSE
├── NOTICE
├── conf
│ └── agent.yaml
├── plugins
│ ├── lib
│ │ ├── shardingsphere-agent-metrics-core-${latest.release.version}.jar
│ │ └── shardingsphere-agent-plugin-core-${latest.release.version}.jar
│ ├── logging
│ │ └── shardingsphere-agent-logging-file-${latest.release.version}.jar
│ ├── metrics
│ │ └── shardingsphere-agent-metrics-prometheus-${latest.release.version}.jar
│ └── tracing
│ ├── shardingsphere-agent-tracing-opentelemetry-${latest.release.version}.jar
└── shardingsphere-agent-${latest.release.version}.jar
```
### Configuration
`conf/agent.yaml` is used to manage agent configuration.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/session/_index.en.md
=====================================================
+++
title = "Session Management"
weight = 7
+++
ShardingSphere supports session management. You can view the current session or kill the session through the SQL of the native database. At present, this function is only available when the storage node is MySQL. MySQL `SHOW PROCESSLIST` and `KILL` commands are supported.
## Usage
### View Session
Different methods of viewing sessions are supported for different associated databases. The `SHOW PROCESSLIST` command can be used to view sessions for associated MySQL databases. ShardingSphere will automatically generate a unique UUID ID as the ID, and store the SQL execution information in each instance. When this command is executed, ShardingSphere will collect and synchronize the SQL execution information of each computing node through the governance center, and then summarize and return it to the user.
```sql
mysql> show processlist;
+----------------------------------+------+-----------+-------------+---------+------+---------------+------------------+
| Id | User | Host | db | Command | Time | State | Info |
+----------------------------------+------+-----------+-------------+---------+------+---------------+------------------+
| 05ede3bd584fd4a429dcaac382be2973 | root | 127.0.0.1 | sharding_db | Execute | 2 | Executing 0/1 | select sleep(10) |
| f9e5c97431567415fe10badc5fa46378 | root | 127.0.0.1 | sharding_db | Sleep | 690 | | |
+----------------------------------+------+-----------+-------------+---------+------+---------------+------------------+
```
- Output Description
Simulates the output of native MySQL, but the `Id` field is a special random string.
### Kill Session
The user determines whether the `KILL` statement needs to be executed according to the results returned by `SHOW PROCESSLIST`. ShardingSphere cancels the SQL being executed according to the ID in the `KILL` statement.
```sql
mysql> kill 05ede3bd584fd4a429dcaac382be2973;
Query OK, 0 rows affected (0.04 sec)
mysql> show processlist;
Empty set (0.02 sec)
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/migration/build.en.md
=====================================================
+++
title = "Build"
weight = 1
+++
## Background
For systems running on a single database that urgently need to securely and simply migrate data to a horizontally sharded database.
## Prerequisites
- Proxy is developed in JAVA, and JDK version 1.8 or later is recommended.
- Data migration adopts the cluster mode, and ZooKeeper is currently supported as the registry.
## Procedure
1. Get ShardingSphere-Proxy. Please refer to [proxy startup guide](/en/user-manual/shardingsphere-proxy/startup/bin/) for details.
2. Modify the configuration file `conf/global.yaml`. Please refer to [mode configuration](/en/user-manual/shardingsphere-jdbc/yaml-config/mode/) for details.
Currently, `mode` must be `Cluster`, and the corresponding registry must be started in advance.
Configuration sample:
```yaml
mode:
type: Cluster
repository:
type: ZooKeeper
props:
namespace: governance_ds
server-lists: localhost:2181
retryIntervalMilliseconds: 500
timeToLiveSeconds: 60
maxRetries: 3
operationTimeoutMilliseconds: 500
```
3. Introduce JDBC driver.
Proxy has included JDBC driver of PostgreSQL and openGauss.
If the backend is connected to the following databases, download the corresponding JDBC driver jar package and put it into the `${shardingsphere-proxy}/ext-lib` directory.
| Database | JDBC Driver |
|----------|------------------------------------------------------------------------------------------------------|
| MySQL | [mysql-connector-j-8.3.0.jar](https://repo1.maven.org/maven2/com/mysql/mysql-connector-j/8.3.0/) |
If you are migrating to a heterogeneous database, then you could use more types of database. Introduce JDBC driver as above too.
4. Start ShardingSphere-Proxy:
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/migration/usage.cn.md
=====================================================
+++
title = "使用手册"
weight = 2
+++
## MySQL 使用手册
### 环境要求
支持的 MySQL 版本：5.1.15 ~ 8.0.x。
### 权限要求
1. 源端开启 `binlog`
MySQL 5.7 `my.cnf` 示例配置：
```
[mysqld]
server-id=1
log-bin=mysql-bin
binlog-format=row
binlog-row-image=full
max_connections=600
```
执行以下命令，确认是否有开启 binlog：
```
show variables like '%log_bin%';
show variables like '%binlog%';
```
如以下显示，则说明 binlog 已开启
```
+-----------------------------------------+---------------------------------------+
| Variable_name | Value |
+-----------------------------------------+---------------------------------------+
| log_bin | ON |
| binlog_format | ROW |
| binlog_row_image | FULL |
+-----------------------------------------+---------------------------------------+
```
2. 赋予源端 MySQL 账号 replication 相关权限。
执行以下命令，查看该用户是否有迁移权限：
```
SHOW GRANTS FOR 'migration_user';
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/migration/_index.en.md
=====================================================
+++
title = "Data Migration"
weight = 4
+++
## Introduction
ShardingSphere provides solution of migrating data since **4.1.0**.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/migration/usage.en.md
=====================================================
+++
title = "Manual"
weight = 2
+++
## MySQL user guide
### Environment
Supported MySQL versions: 5.1.15 to 8.0.x.
### Authority required
1. Enable `binlog` in source
MySQL 5.7 `my.cnf` configuration sample:
```
[mysqld]
server-id=1
log-bin=mysql-bin
binlog-format=row
binlog-row-image=full
max_connections=600
```
Run the following command and check whether `binlog` is enabled.
```
show variables like '%log_bin%';
show variables like '%binlog%';
```
If the following information is displayed, binlog is enabled.
```
+-----------------------------------------+---------------------------------------+
| Variable_name | Value |
+-----------------------------------------+---------------------------------------+
| log_bin | ON |
| binlog_format | ROW |
| binlog_row_image | FULL |
+-----------------------------------------+---------------------------------------+
```
2. Grant Replication-related permissions for source MySQL account.
Run the following command to check whether the user has migration permission.
```
SHOW GRANTS FOR 'migration_user';
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/_index.cn.md
=====================================================
+++
pre = "<b>4.2. </b>"
title = "ShardingSphere-Proxy"
weight = 2
chapter = true
+++
配置是 ShardingSphere-Proxy 中唯一与开发者交互的模块，通过它可以快速清晰的理解 ShardingSphere-Proxy 所提供的功能。
本章节是 ShardingSphere-Proxy 的配置参考手册，需要时可当做字典查阅。
ShardingSphere-Proxy 提供基于 YAML 的配置方式，并使用 DistSQL 进行交互。
通过配置，应用开发者可以灵活的使用数据分片、读写分离、数据加密、影子库等功能，并且能够叠加使用。
规则配置部分与 ShardingSphere-JDBC 的 YAML 配置完全一致。
DistSQL 与 YAML 配置能够相互取代。
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/_index.en.md
=====================================================
+++
pre = "<b>4.2. </b>"
title = "ShardingSphere-Proxy"
weight = 2
chapter = true
+++
Configuration is the only module in ShardingSphere-Proxy that interacts with application developers,
through which developer can quickly and clearly understand the functions provided by ShardingSphere-Proxy.
This chapter is a configuration manual for ShardingSphere-Proxy, which can also be referred to as a dictionary if necessary.
ShardingSphere-Proxy provided YAML configuration, and used DistSQL to communicate.
By configuration, application developers can flexibly use data sharding, readwrite-splitting, data encryption, shadow database or the combination of them.
Rule configuration keeps consist with YAML configuration of ShardingSphere-JDBC.
DistSQL and YAML can be replaced each other.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/yaml-config/authority.cn.md
=====================================================
+++
title = "认证和授权"
weight = 1
+++
## 背景信息
在 ShardingSphere-Proxy 中，通过 `authority` 来配置用户的认证和授权信息。
得益于 ShardingSphere 的可插拔架构，Proxy 提供了两种级别的权限提供者，分别是：
- `ALL_PERMITTED`：每个用户都拥有所有权限，无需专门授权；
- `DATABASE_PERMITTED`：为用户授予指定逻辑库的权限，通过 `user-database-mappings` 进行定义。
在配置 `authority` 时，管理员可根据需要选择使用哪一种权限提供者。
## 参数解释
```yaml
authority:
users:
- user: # 用于登录计算节点的用户名和授权主机的组合，格式：<username>@<hostname>，hostname 为 % 或空字符串表示不限制授权主机，username 和 hostname 大小写不敏感
password: # 用户密码
admin: # 可选项，管理员身份标识。若为 true，该用户拥有最高权限，缺省值为 false
authenticationMethodName: # 可选项，用于为用户指定密码认证方式
authenticators: # 可选项，默认不需要配置，Proxy 根据前端协议类型自动选择
authenticatorName:
type: # 密码认证类型
defaultAuthenticator: # 可选项，指定一个 authenticatorName 作为默认的密码认证方式
privilege:
type: # 权限提供者类型，缺省值为 ALL_PERMITTED
```
## 配置示例
### 极简配置
```yaml
authority:
users:
- user: root@%
password: root
- user: sharding
password: sharding
```
说明：
- 定义了两个用户：`root@%` 和 `sharding`；
- 未定义 `authenticators` 和 `authenticationMethodName`，Proxy 将根据前端协议自动选择;
- 未指定 `privilege type`，采用默认的 `ALL_PERMITTED`。
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/yaml-config/props.cn.md
=====================================================
+++
title = "属性配置"
weight = 2
chapter = true
+++
## 背景信息
Apache ShardingSphere 提供了丰富的系统配置属性，用户可通过 `global.yaml` 进行配置。
## 参数解释
| *名称* | *数据类型* | *说明* | *默认值* | *动态生效* |
|-------------------------------------------|-----------|----------------------------------------------------------------------------------------------------------------------------------------|-----------------|--------|
| system-log-level (?) | String | 系统日志输出级别，支持 DEBUG、INFO、WARN 和 ERROR，默认级别是 INFO。 | INFO | 是 |
| sql-show (?) | boolean | 是否在日志中打印 SQL。 <br /> 打印 SQL 可以帮助开发者快速定位系统问题。日志内容包含：逻辑 SQL，真实 SQL 和 SQL 解析结果。<br /> 如果开启配置，日志将使用 Topic `ShardingSphere-SQL`，日志级别是 INFO。 | false | 是 |
| sql-simple (?) | boolean | 是否在日志中打印简单风格的 SQL。 | false | 是 |
| kernel-executor-size (?) | int | 用于设置任务处理线程池的大小。每个 ShardingSphereDataSource 使用一个独立的线程池，同一个 JVM 的不同数据源不共享线程池。 | infinite | 否 |
| max-connections-size-per-query (?) | int | 一次查询请求在每个数据库实例中所能使用的最大连接数。 | 1 | 是 |
| check-table-metadata-enabled (?) | boolean | 在程序启动和更新时，是否检查分片元数据的结构一致性。 | false | 是 |
| proxy-frontend-flush-threshold (?) | int | 在 ShardingSphere-Proxy 中设置传输数据条数的 IO 刷新阈值。 | 128 | 是 |
| proxy-backend-query-fetch-size (?) | int | Proxy 后端与数据库交互的每次获取数据行数（使用游标的情况下）。数值增大可能会增加 ShardingSphere Proxy 的内存使用。默认值为 -1，代表设置为 JDBC 驱动的最小值。 | -1 | 是 |
| proxy-frontend-executor-size (?) | int | Proxy 前端 Netty 线程池线程数量，默认值 0 代表使用 Netty 默认值。 | 0 | 否 |
| proxy-frontend-max-connections (?) | int | 允许连接 Proxy 的最大客户端数量，默认值 0 代表不限制。 | 0 | 是 |
| proxy-default-port (?) | String | Proxy 通过配置文件指定默认端口。 | 3307 | 否 |
| proxy-netty-backlog (?) | int | Proxy 通过配置文件指定默认netty back_log参数。 | 1024 | 否 |
| proxy-frontend-database-protocol-type (?) | String | Proxy 前端协议类型，支持 MySQL，PostgreSQL 和 openGauss | \"\" | 否 |
| proxy-frontend-ssl-enabled (?) | boolean | Proxy 前端启用 SSL/TLS。 | false | 否 |
| proxy-frontend-ssl-version (?) | String | 要启用的 SSL/TLS 协议。空白以使用默认值。 | TLSv1.2,TLSv1.3 | 否 |
| proxy-frontend-ssl-cipher (?) | String | 按偏好顺序启用的密码套件。用逗号分隔的多密码套件。空白以使用默认值。 | \"\" | 否 |
属性配置可以通过 [DistSQL#RAL](/cn/user-manual/shardingsphere-proxy/distsql/syntax/ral/) 在线修改。
其中支持动态修改的属性立即生效，不支持动态修改的属性在重启后生效。
## 配置示例
完整配置示例请参考 ShardingSphere 仓库内的 `global.yaml`：<https://github.com/apache/shardingsphere/blob/612cd5d8e802d0d712a3a4d89da8fdc048d23879/proxy/bootstrap/src/main/resources/conf/global.yaml#L71-L89>
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/yaml-config/rules.cn.md
=====================================================
+++
title = "规则配置"
weight = 3
+++
## 背景信息
本节介绍如何进行 ShardingSphere-Proxy 的规则配置。
## 参数解释
ShardingSphere-Proxy 的规则配置与 ShardingSphere-JDBC 一致，具体规则请参考 [ShardingSphere-JDBC 规则配置](/cn/user-manual/shardingsphere-jdbc/yaml-config/rules/)。
## 注意事项
与 ShardingSphere-JDBC 不同的是，以下规则需要配置在 ShardingSphere-Proxy 的 `global.yaml` 中：
* [SQL 解析](/cn/user-manual/shardingsphere-jdbc/yaml-config/rules/sql-parser/)
```yaml
sqlParser:
sqlStatementCache:
initialCapacity: 2000
maximumSize: 65535
parseTreeCache:
initialCapacity: 128
maximumSize: 1024
```
* [分布式事务](/cn/user-manual/shardingsphere-jdbc/yaml-config/rules/transaction/)
```yaml
transaction:
defaultType: XA
providerType: Atomikos
```
* [SQL 翻译](/cn/user-manual/shardingsphere-jdbc/yaml-config/rules/sql-translator/)
```yaml
sqlTranslator:
type:
useOriginalSQLWhenTranslatingFailed:
```
* [联邦查询](/cn/user-manual/shardingsphere-jdbc/yaml-config/rules/sql-federation/)
```yaml
sqlFederation:
sqlFederationEnabled: true
allQueryUseSQLFederation: false
executionPlanCache:
initialCapacity: 2000
maximumSize: 65535
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/yaml-config/data-source.cn.md
=====================================================
+++
title = "数据源配置"
weight = 4
chapter = true
+++
## 背景信息
ShardingSphere-Proxy 支持常见的数据库连接池: HikariCP、C3P0、DBCP（C3P0、DBCP 需要从 [shardingsphere-plugin](https://github.com/apache/shardingsphere-plugin) 仓库获取插件）。
可以通过参数 `dataSourceClassName` 指定连接池，当不指定时，默认的的数据库连接池为 HikariCP。
## 参数解释
```yaml
dataSources: # 数据源配置，可配置多个 <data-source-name>
<data_source_name>: # 数据源名称
dataSourceClassName: # 数据源连接池完整类名
url: # 数据库 URL 连接
username: # 数据库用户名
password: # 数据库密码
# ... 数据库连接池的其它属性
```
## 配置示例
```yaml
dataSources:
ds_1:
url: jdbc:mysql://localhost:3306/ds_1
username: root
password:
ds_2:
dataSourceClassName: com.mchange.v2.c3p0.ComboPooledDataSource
url: jdbc:mysql://localhost:3306/ds_2
username: root
password:
ds_3:
dataSourceClassName: org.apache.commons.dbcp2.BasicDataSource
url: jdbc:mysql://localhost:3306/ds_3
username: root
password:
# 配置其他数据源
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/yaml-config/_index.en.md
=====================================================
+++
title = "Yaml Configuration"
weight = 2
+++
The YAML configuration of ShardingSphere-JDBC is the subset of ShardingSphere-Proxy.
In `global.yaml` file, ShardingSphere-Proxy can configure authority feature and more properties for Proxy only.
Note:
The YAML configuration file supports more than 3MB of configuration content.
This chapter will introduce the extra YAML configuration of ShardingSphere-Proxy.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/yaml-config/props.en.md
=====================================================
+++
title = "Properties"
weight = 2
chapter = true
+++
## Background
Apache ShardingSphere provides a wealth of system configuration properties, which users can configure through `global.yaml`.
## Parameters
| *Name* | *Data Type* | *Description* | *Default* | *Dynamic Update* |
|-------------------------------------------|-------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------|------------------|
| system-log-level (?) | String | System log output level, supports DEBUG, INFO, WARN and ERROR, the default level is INFO. | INFO | True |
| sql-show (?) | boolean | Whether to print SQL in logs. <br /> Printing SQL can help developers quickly locate system problems. Logs contain the following contents: logical SQL, authentic SQL and SQL parsing result. <br /> If configuration is enabled, logs will use Topic `ShardingSphere-SQL`, and log level is INFO. | false | True |
| sql-simple (?) | boolean | Whether to print simple SQL in logs. | false | True |
| kernel-executor-size (?) | int | Set the size of the thread pool for task processing. Each ShardingSphereDataSource uses an independent thread pool, and different data sources on the same JVM do not share thread pools. | infinite | False |
| max-connections-size-per-query (?) | int | The maximum number of connections that a query request can use in each database instance. | 1 | True |
| check-table-metadata-enabled (?) | boolean | Whether shard metadata is checked for structural consistency when the program is started and updated. | false | True |
| proxy-frontend-flush-threshold (?) | int | Set the I/O refresh threshold for the number of transmitted data items in ShardingSphere-Proxy. | 128 | True |
| proxy-backend-query-fetch-size (?) | int | The number of rows of data obtained when the backend Proxy interacts with databases (using a cursor). A larger number may increase the occupied memory of ShardingSphere-Proxy. The default value of -1 indicates the minimum value for JDBC driver. | -1 | True |
| proxy-frontend-executor-size (?) | int | The number of threads in the Netty thread pool of front-end Proxy. | 0 | False |
| proxy-frontend-max-connections (?) | int | The maximum number of clients that can be connected to Proxy. The default value of 0 indicates that there's no limit. | 0 | True |
| proxy-default-port (?) | String | Proxy specifies the default window through configuration files. | 3307 | False |
| proxy-netty-backlog (?) | int | Proxy specifies the default netty back_log parameter through configuration files. | 1024 | False |
| proxy-frontend-database-protocol-type (?) | String | Proxy front-end protocol type, supports MySQL, PostgreSQL, openGauss | \"\" | False |
| proxy-frontend-ssl-enabled (?) | boolean | Enable SSL/TLS for ShardingSphere-Proxy frontend. | false | False |
| proxy-frontend-ssl-version (?) | String | The SSL/TLS protocols to enable. Blank to use default. | TLSv1.2,TLSv1.3 | False |
| proxy-frontend-ssl-cipher (?) | String | The cipher suites to enable, in the order of preference. Multi cipher suites separated by comma. Blank to use default. | \"\" | False |
Properties can be modified online through [DistSQL#RAL](/en/user-manual/shardingsphere-proxy/distsql/syntax/ral/).
Properties that support dynamic change can take effect immediately. For the ones that do not support dynamic change, the effect will be implemented after a restart.
## Sample
For a complete sample, please refer to `global.yaml` in ShardingSphere's repository：<https://github.com/apache/shardingsphere/blob/612cd5d8e802d0d712a3a4d89da8fdc048d23879/proxy/bootstrap/src/main/resources/conf/global.yaml#L71-L89>
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== File: docs/document/content/user-manual/shardingsphere-proxy/yaml-config/rules.en.md
=====================================================
+++
title = "Rules"
weight = 3
+++
## Background
This section explains how to configure the ShardingSphere-Proxy rules.
## Parameters Explained
Rules configuration for ShardingSphere-Proxy is the same as ShardingSphere-JDBC.
For details, please refer to [ShardingSphere-JDBC Rules Configuration](/en/user-manual/shardingsphere-jdbc/yaml-config/rules/).
## Notice
Unlike ShardingSphere-JDBC, the following rules need to be configured in ShardingSphere-Proxy's `global.yaml`:
* [SQL Parsing](/en/user-manual/shardingsphere-jdbc/yaml-config/rules/sql-parser/)
```yaml
sqlParser:
sqlStatementCache:
initialCapacity: 2000
maximumSize: 65535
parseTreeCache:
initialCapacity: 128
maximumSize: 1024
```
* [Distributed Transaction](/en/user-manual/shardingsphere-jdbc/yaml-config/rules/transaction/)
```yaml
transaction:
defaultType: XA
providerType: Atomikos
```
* [SQL Translator](/en/user-manual/shardingsphere-jdbc/yaml-config/rules/sql-translator/)
```yaml
sqlTranslator:
type:
useOriginalSQLWhenTranslatingFailed:
```
* [SQL Federation](/en/user-manual/shardingsphere-jdbc/yaml-config/rules/sql-federation/)
```yaml
sqlFederation:
sqlFederationEnabled: true
allQueryUseSQLFederation: false
executionPlanCache:
initialCapacity: 2000
maximumSize: 65535
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/yaml-config/data-source.en.md
=====================================================
+++
title = "Data Source"
weight = 4
chapter = true
+++
## Background
ShardingSphere-Proxy supports common data source connection pools: HikariCP, C3P0, DBCP (C3P0, DBCP need download plugin from [shardingsphere-plugins](https://github.com/apache/shardingsphere-plugin) repository).
The connection pool can be specified through the parameter `dataSourceClassName`. When not specified, the default data source connection pool is HikariCP.
## Parameters
```yaml
dataSources: # Data sources configuration, multiple <data-source-name> available
<data_source_name>: # Data source name
dataSourceClassName: # Data source connection pool full class name
url: # The database URL connection
username: # Database username
password: # The database password
# ... Other properties of data source pool
```
## Sample
```yaml
dataSources:
ds_1:
url: jdbc:mysql://localhost:3306/ds_1
username: root
password:
ds_2:
dataSourceClassName: com.mchange.v2.c3p0.ComboPooledDataSource
url: jdbc:mysql://localhost:3306/ds_2
username: root
password:
ds_3:
dataSourceClassName: org.apache.commons.dbcp2.BasicDataSource
url: jdbc:mysql://localhost:3306/ds_3
username: root
password:
# Configure other data sources
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/yaml-config/authority.en.md
=====================================================
+++
title = "Authentication & Authorization"
weight = 1
+++
## Background
In ShardingSphere-Proxy, user authentication and authorization information is configured through `authority`.
Thanks to ShardingSphere's pluggable architecture, Proxy provides two levels of privilege providers, namely:
- `ALL_PERMITTED`: each user has all privileges without special authorization.
- `DATABASE_PERMITTED`: grants the user privileges on the specified logical databases, defined by `user-database-mappings`.
The administrator can choose which privilege provider to use as needed when configuring `authority`.
## Parameters
```yaml
authority:
users:
- user: # Specify the username, and authorized host for logging in to the compute node. Format: <username>@<hostname>. When the hostname is % or an empty string, it indicates that the authorized host is not limited, username and hostname are case-insensitive
password: # Password
admin: # Optional, administrator identity. If true, the user has the highest authority. The default value is false
authenticationMethodName: # Optional, used to specify the password authentication method for the user
authenticators: # Optional, not required by default, Proxy will automatically choose the authentication method according to the frontend protocol type
authenticatorName:
type: # Authentication method type
defaultAuthenticator: # Optional, specify an authenticator as the default password authentication method
privilege:
type: # Privilege provider type. The default value is ALL_PERMITTED
```
## Sample
### Minimalist configuration
```yaml
authority:
users:
- user: root@%
password: root
- user: sharding
password: sharding
```
Explanation:
- Two users are defined: `root@%` and `sharding`;
- `authenticationMethodName` is not specified for `root@127.0.0.1`, Proxy will automatically choose the authentication method according to the frontend protocol;
- Privilege provider is not specified, the default `ALL_PERMITTED` will be used;
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/optional-plugins/_index.en.md
=====================================================
+++
title = "Optional Plugins"
weight = 6
+++
ShardingSphere only includes the implementation of the core SPI by default, and there is a part of the SPI that contains third-party dependencies in Git Source
Implemented plugins are not included. Retrievable at https://central.sonatype.com/.
SPI and existing implementation classes of SPI corresponding to all plugins can be retrieved at https://shardingsphere.apache.org/document/current/cn/dev-manual/.
All the built-in plugins for ShardingSphere-Proxy are listed below in the form of 'groupId:artifactId'.
- `org.apache.shardingsphere:shardingsphere-cluster-mode-repository-etcd`, etcd implementation of persistent definition of cluster mode configuration information
- `org.apache.shardingsphere:shardingsphere-cluster-mode-repository-zookeeper`, the zookeeper implementation of the persistent definition of cluster mode configuration information
- `org.apache.shardingsphere:shardingsphere-jdbc`, JDBC module
- `org.apache.shardingsphere:shardingsphere-db-protocol-core`, database protocol core
- `org.apache.shardingsphere:shardingsphere-mysql-protocol`, the MySQL implementation of the database protocol
- `org.apache.shardingsphere:shardingsphere-postgresql-protocol`, the PostgreSQL implementation of the database protocol
- `org.apache.shardingsphere:shardingsphere-opengauss-protocol`, the OpenGauss implementation of the database protocol
- `org.apache.shardingsphere:shardingsphere-proxy-frontend-core`, used by ShardingSphere-Proxy to parse and adapt the protocol for accessing the database
- `org.apache.shardingsphere:shardingsphere-proxy-frontend-mysql`, a MySQL implementation for ShardingSphere-Proxy to parse and adapt the protocol for accessing the database
- `org.apache.shardingsphere:shardingsphere-proxy-frontend-postgresql`, a PostgreSQL implementation for ShardingSphere-Proxy to parse and adapt the protocol for accessing the database
- `org.apache.shardingsphere:shardingsphere-proxy-frontend-opengauss`, an openGauss implementation for ShardingSphere-Proxy to parse and adapt the protocol for accessing the database
- `org.apache.shardingsphere:shardingsphere-proxy-backend-core`, the backend core for ShardingSphere Proxy
- `org.apache.shardingsphere:shardingsphere-standalone-mode-core`, the persistence definition core of single-machine mode configuration information
For the core `org.apache.shardingsphere:shardingsphere-jdbc`,Its built-in plugins reference[ShardingSphere-JDBC Optional Plugins](/en/user-manual/shardingsphere-jdbc/optional-plugins/).
If ShardingSphere Proxy needs to use optional plugins, you need to download the JAR containing its SPI implementation and its dependent JARs from Maven Central.
All optional plugins are listed below in the form of `groupId:artifactId`.
- Standalone mode configuration information persistence definition
- `org.apache.shardingsphere:shardingsphere-standalone-mode-repository-jdbc`, JDBC based persistence
- XA transaction manager provider definition
- `org.apache.shardingsphere:shardingsphere-transaction-xa-narayana`, XA distributed transaction manager based on Narayana
- Row Value Expressions definition
- `org.apache.shardingsphere:shardingsphere-infra-expr-espresso`，Row Value Expressions that uses the Groovy syntax based on GraalVM Truffle's Espresso implementation
- Database type identification
- `org.apache.shardingsphere:shardingsphere-infra-database-testcontainers`, Adaptation of jdbcURL for `JDBC support` of `testcontainers-java`
In addition to the above optional plugins, ShardingSphere community developers have contributed a number of plugin implementations. These plugins can be found in [ShardingSphere Plugins](https://github.com/apache/shardingsphere-plugin) repository. Plugins in ShardingSphere Plugin repository would remain the same release plan with ShardingSphere, they can be retrieved at https://central.sonatype.com/, and install into ShardingSphere.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/startup/dependencies-download/add_Narayana_dependency.cn.md
=====================================================
+++
title = "添加 Narayana 依赖"
weight = 2
+++
## 添加 Narayana 依赖包
添加 Narayana 依赖需要下载以下 jar 文件并将其添加至 `ext-lib` 下。
### jar 文件下载地址
- [arjuna-5.12.7.Final.jar](https://repo1.maven.org/maven2/org/jboss/narayana/arjunacore/arjuna/5.12.7.Final/arjuna-5.12.7.Final.jar)
- [common-5.12.7.Final.jar](https://repo1.maven.org/maven2/org/jboss/narayana/common/5.12.7.Final/common-5.12.7.Final.jar)
- [jboss-connector-api_1.7_spec-1.0.0.Final.jar](https://repo1.maven.org/maven2/org/jboss/spec/javax/resource/jboss-connector-api_1.7_spec/1.0.0.Final/jboss-connector-api_1.7_spec-1.0.0.Final.jar)
- [jboss-logging-3.2.1.Final.jar](https://repo1.maven.org/maven2/org/jboss/logging/jboss-logging/3.2.1.Final/jboss-logging-3.2.1.Final.jar)
- [jboss-transaction-api_1.2_spec-1.0.0.Alpha3.jar](https://repo1.maven.org/maven2/org/jboss/spec/javax/transaction/jboss-transaction-api_1.2_spec/1.0.0.Alpha3/jboss-transaction-api_1.2_spec-1.0.0.Alpha3.jar)
- [jboss-transaction-spi-7.6.1.Final.jar](https://repo1.maven.org/maven2/org/jboss/jboss-transaction-spi/7.6.1.Final/jboss-transaction-spi-7.6.1.Final.jar)
- [jta-5.12.7.Final.jar](https://repo1.maven.org/maven2/org/jboss/narayana/jta/jta/5.12.7.Final/jta-5.12.7.Final.jar)
- [narayana-jts-integration-5.12.7.Final.jar](https://repo1.maven.org/maven2/org/jboss/narayana/jts/narayana-jts-integration/5.12.7.Final/narayana-jts-integration-5.12.7.Final.jar)
- [shardingsphere-transaction-xa-narayana.jar](https://mvnrepository.com/artifact/org.apache.shardingsphere/shardingsphere-transaction-xa-narayana)
请根据 `proxy` 版本下载对应 `shardingsphere-transaction-xa-narayana.jar` 文件。
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/startup/dependencies-download/_index.cn.md
=====================================================
+++
title = "添加依赖"
weight = 5
+++
本章主要介绍 ShardingSphere 可选依赖的下载方式。
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/startup/dependencies-download/add_Narayana_dependency.en.md
=====================================================
+++
title = "Add Narayana dependencies"
weight = 2
+++
## Add Narayana dependencies
Adding Narayana dependencies requires downloading the following jar files and adding them under `ext-lib` path.
### jar file downloads
- [arjuna-5.12.7.Final.jar](https://repo1.maven.org/maven2/org/jboss/narayana/arjunacore/arjuna/5.12.7.Final/arjuna-5.12.7.Final.jar)
- [common-5.12.7.Final.jar](https://repo1.maven.org/maven2/org/jboss/narayana/common/5.12.7.Final/common-5.12.7.Final.jar)
- [jboss-connector-api_1.7_spec-1.0.0.Final.jar](https://repo1.maven.org/maven2/org/jboss/spec/javax/resource/jboss-connector-api_1.7_spec/1.0.0.Final/jboss-connector-api_1.7_spec-1.0.0.Final.jar)
- [jboss-logging-3.2.1.Final.jar](https://repo1.maven.org/maven2/org/jboss/logging/jboss-logging/3.2.1.Final/jboss-logging-3.2.1.Final.jar)
- [jboss-transaction-api_1.2_spec-1.0.0.Alpha3.jar](https://repo1.maven.org/maven2/org/jboss/spec/javax/transaction/jboss-transaction-api_1.2_spec/1.0.0.Alpha3/jboss-transaction-api_1.2_spec-1.0.0.Alpha3.jar)
- [jboss-transaction-spi-7.6.1.Final.jar](https://repo1.maven.org/maven2/org/jboss/jboss-transaction-spi/7.6.1.Final/jboss-transaction-spi-7.6.1.Final.jar)
- [jta-5.12.7.Final.jar](https://repo1.maven.org/maven2/org/jboss/narayana/jta/jta/5.12.7.Final/jta-5.12.7.Final.jar)
- [narayana-jts-integration-5.12.7.Final.jar](https://repo1.maven.org/maven2/org/jboss/narayana/jts/narayana-jts-integration/5.12.7.Final/narayana-jts-integration-5.12.7.Final.jar)
- [shardingsphere-transaction-xa-narayana.jar](https://mvnrepository.com/artifact/org.apache.shardingsphere/shardingsphere-transaction-xa-narayana)
Please download the corresponding `shardingsphere-transaction-xa-narayana.jar` file according to the `proxy` version.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/startup/dependencies-download/_index.en.md
=====================================================
+++
title = "Add dependencies"
weight = 5
+++
This chapter mainly introduces how to download optional dependencies of ShardingSphere.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/startup/graalvm-native-image.en.md
=====================================================
+++
title = "Build GraalVM Native Image(Alpha)"
weight = 2
+++
## Background
This section mainly introduces how to build the `Native Image` of ShardingSphere-Proxy and the
corresponding `Docker Image` through the `native-image` component of `GraalVM`.
## Notice
- ShardingSphere Proxy is not yet ready to integrate with GraalVM Native Image. Proxy's Native Image artifacts are
built nightly at https://github.com/apache/shardingsphere/pkgs/container/shardingsphere-proxy-native .
Assuming there is a `conf` folder containing `global.yaml` as `./custom/conf`, you can test it with the
following `docker-compose.yml` file.
````yaml
version: "3.8"
services:
apache-shardingsphere-proxy-native:
image: ghcr.io/apache/shardingsphere-proxy-native:latest
volumes:
- ./custom/conf:/opt/shardingsphere-proxy-native/conf
ports:
- "3307:3307"
````
- This section assumes a Linux (amd64, aarch64), MacOS (amd64) or Windows (amd64) environment.
If you are on MacOS (aarch64/M1) environment, you need to follow https://github.com/oracle/graal/issues/2666 which is
not closed yet.
## Premise
1. Install and configure `GraalVM Community Edition` or a downstream distribution of `GraalVM Community Edition` for
JDK 21 according to https://www.graalvm.org/downloads/. If `SDKMAN!` is used,
```shell
sdk install java 21.0.2-graalce
```
2. Install the local toolchain as required by https://www.graalvm.org/jdk17/reference-manual/native-image/#prerequisites.
3. If you need to build a Docker Image, make sure `docker-ce` is installed.
## Steps
1. Get Apache ShardingSphere Git Source
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/startup/_index.cn.md
=====================================================
+++
title = "启动手册"
weight = 1
+++
本章节将介绍 ShardingSphere-Proxy 相关部署和启动等相关操作。
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/startup/_index.en.md
=====================================================
+++
title = "Startup"
weight = 1
+++
This chapter will introduce the deployment and startup of ShardingSphere-Proxy.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/startup/bin.en.md
=====================================================
+++
title = "Use Binary Tar"
weight = 1
+++
## Background
This section describes how to start ShardingSphere-Proxy by binary release packages
## Premise
Start the Proxy with a binary package requires an environment with Java JRE 8 or later.
## Steps
1. Obtain the binary release package of ShardingSphere-Proxy
Obtain the binary release package of ShardingSphere-Proxy on the [download page](https://shardingsphere.apache.org/document/current/en/downloads/).
2. Configure `conf/global.yaml`
ShardingSphere-Proxy's operational mode is configured on `global.yaml`, and its configuration mode is the same with that of ShardingSphere-JDBC. Refer to [mode of configuration](/en/user-manual/shardingsphere-jdbc/yaml-config/mode/).
Please refer to the following links for other configuration items:
* [Permission configuration](/en/user-manual/shardingsphere-proxy/yaml-config/authority/)
* [Property configuration](/en/user-manual/shardingsphere-proxy/yaml-config/props/)
3. Configure `conf/database-*.yaml`
Modify files named with the prefix `database-` in the `conf` directory, such as `conf/database-sharding.yaml` file and configure sharding rules and read/write splitting rules. See [Confuguration Mannual](/en/user-manual/shardingsphere-proxy/yaml-config/) for configuration methods. The `*` part of the `database-*.yaml` file can be named whatever you want.
ShardingSphere-Proxy supports multiple logical data sources. Each YAML configuration file named with the prefix `database-` is a logical data source.
4. Introduce database driver (Optional)
If the backend is connected to a PostgreSQL or openGauss database, no additional dependencies need to be introduced.
If the backend is connected to a MySQL database, please download [mysql-connector-java-5.1.49.jar](https://repo1.maven.org/maven2/mysql/mysql-connector-java/5.1.49/mysql-connector-java-5.1.49.jar) or [mysql-connector-java-8.0.11.jar](https://repo1.maven.org/maven2/mysql/mysql-connector-java/8.0.11/mysql-connector-java-8.0.11.jar), and put it into the `ext-lib` directory.
5. Introduce dependencies required by the cluster mode (Optional)
ShardingSphere-Proxy integrates the ZooKeeper Curator client by default. ZooKeeper is used in cluster mode without introducing other dependencies.
If the cluster mode uses Etcd, please copy [vertx-grpc 4.5.1](https://repo1.maven.org/maven2/io/vertx/vertx-grpc/4.5.1/vertx-grpc-4.5.1.jar) and [vertx-core 4.5.1](https://repo1.maven.org/maven2/io/vertx/vertx-core/4.5.1/vertx-core-4.5.1.jar) that Etcd depends on into the `ext-lib` directory.
6. Introduce dependencies required by distributed transactions (Optional)
It is the same with ShardingSphere-JDBC.
Please refer to [Distributed Transaction](/en/user-manual/shardingsphere-jdbc/special-api/transaction/) for more details.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/startup/docker.en.md
=====================================================
+++
title = "Use Docker"
weight = 2
+++
## Background
This chapter is an introduction about how to start ShardingSphere-Proxy via Docker
## Notice
Using Docker to start ShardingSphere-Proxy does not require additional package supoort.
## Steps
1. Acquire Docker Image
* Method 1 (Recommended): Pull from DockerHub
```bash
docker pull apache/shardingsphere-proxy
```
* Method 2: Acquire latest master branch image master: <https://github.com/apache/shardingsphere/pkgs/container/shardingsphere-proxy>
* Method 3: Build your own image
```bash
git clone https://github.com/apache/shardingsphere
./mvnw clean install
cd shardingsphere-distribution/shardingsphere-proxy-distribution
./mvnw clean package -Prelease,docker
```
If the following problems emerge, please make sure Docker daemon Process is running.
```
I/O exception (java.io.IOException) caught when processing request to {}->unix://localhost:80: Connection refused？
```
2. Configure `conf/global.yaml` and `conf/database-*.yaml`
Configuration file template can be attained from the Docker container and can be copied to any directory on the host:
```bash
docker run -d --name tmp --entrypoint=bash apache/shardingsphere-proxy
docker cp tmp:/opt/shardingsphere-proxy/conf /host/path/to/conf
docker rm tmp
```
Since the network conditions inside the container may differ from those of the host, if errors such as "cannot connect to the database" occurs, please make sure that the IP of the database specified in the `conf/database-*.yaml` configuration file can be accessed from inside the Docker container.
For details, please refer to [ShardingSphere-Proxy quick start manual - binary distribution packages](/en/user-manual/shardingsphere-proxy/startup/bin/).
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/cdc/build.en.md
=====================================================
+++
title = "Build"
weight = 1
+++
## Background Information
ShardingSphere CDC is divided into two parts, one is the CDC Server, and the other is the CDC Client. The CDC Server and ShardingSphere-Proxy are currently deployed together.
Users can introduce the CDC Client into their own projects to implement data consumption logic.
## Constraints
- Pure JAVA development, JDK recommended 1.8 or above.
- CDC Server requires SharingSphere-Proxy to use cluster mode, currently supports ZooKeeper as the registry center.
- CDC only synchronizes data, does not synchronize table structure, and currently does not support DDL statement synchronization.
- CDC incremental task will not split transaction data of the database shards. If you want to enable XA transaction compatibility, both openGauss and ShardingSphere-Proxy need the GLT module.
## CDC Server Deployment Steps
Here, the openGauss database is used as an example to introduce the deployment steps of the CDC Server.
Since the CDC Server is built into ShardingSphere-Proxy, you need to get ShardingSphere-Proxy. For details, please refer to the [proxy startup manual](/cn/user-manual/shardingsphere-proxy/startup/bin/).
### Configure GLT Module (Optional)
The official website's released binary package does not include the GLT module by default, if you are using the openGauss database with GLT functionality, you can additionally introduce the GLT module to ensure the integrity of XA transactions.
There are currently two ways to introduce the GLT module, and corresponding configurations need to be made in global.yaml.
#### 1. Source code compilation and installation
1.1 Prepare the code environment, download in advance or use Git clone to download the [ShardingSphere](https://github.com/apache/shardingsphere.git) source code from Github.
1.2 Delete the `<scope>provided</scope>` tag of the shardingsphere-global-clock-tso-provider-redis dependency in kernel/global-clock/type/tso/core/pom.xml and the `<scope>provided</scope>` tag of jedis in kernel/global-clock/type/tso/provider/redis/pom.xml
1.3 Compile ShardingSphere-Proxy, for specific compilation steps, please refer to the [ShardingSphere Compilation Manual](https://github.com/apache/shardingsphere/wiki#build-apache-shardingsphere).
#### 2. Directly introduce GLT dependencies
Can be introduced from the maven repository
2.1. [shardingsphere-global-clock-tso-provider-redis](https://repo1.maven.org/maven2/org/apache/shardingsphere/shardingsphere-global-clock-tso-provider-redis), download the same version as ShardingSphere-Proxy
2.2. [jedis-4.3.1](https://repo1.maven.org/maven2/redis/clients/jedis/4.3.1/jedis-4.3.1.jar)
### CDC Server User Manual
1. Modify the configuration file `conf/global.yaml` and turn on the CDC function. Currently, `mode` must be `Cluster`, and the corresponding registry center needs to be started in advance. If the GLT provider uses Redis, Redis needs to be started in advance.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/cdc/_index.en.md
=====================================================
+++
title = "CDC"
weight = 9
+++
CDC (Change Data Capture) captures incremental data changes. CDC can monitor data changes in the storage nodes of ShardingSphere-Proxy, capture data operation events, filter and extract useful information, and finally send these changed data to a specified target.
CDC can be used for data synchronization, data backup and recovery, it currently supports openGauss, MySQL, and PostgreSQL.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/cdc/usage.en.md
=====================================================
+++
title = "Manual"
weight = 2
+++
## Introduction to CDC Function
CDC only synchronizes data, it does not synchronize table structures, and currently does not support the synchronization of DDL statements.
### Introduction to CDC Protocol
The CDC protocol uses Protobuf, and the corresponding Protobuf types are mapped based on the types in Java.
Here, taking openGauss as an example, the mapping relationship between the data types of the CDC protocol and the database types is as follows.
| openGauss type | Java data type | CDC corresponding protobuf type | Remarks |
|------------------------------------------|--------------------|---------------------------------|---------------------------------------------------------------------------------------------------------------|
| tinyint, smallint, integer | Integer | int32 | |
| bigint | Long | int64 | |
| numeric | BigDecimal | string | |
| real, float4 | Float | float | |
| binary_double, double precision | Double | double | |
| boolean | Boolean | bool | |
| char, varchar, text, clob | String | string | |
| blob, bytea, raw | byte[] | bytes | |
| date, timestamp, timestamptz, smalldatetime | java.sql.Timestamp | Timestamp | The Timestamp type of protobuf only contains seconds and nanoseconds, so it is irrelevant to the time zone |
| time, timetz | java.sql.Time | int64 | Represents the number of nanoseconds of the day, irrelevant to the time zone |
| interval, reltime, abstime | String | string | |
| point, lseg, box, path, polygon, circle | String | string | |
| cidr, inet, macaddr | String | string | |
| tsvector | String | string | |
| tsquery | String | String | |
| uuid | String | string | |
| json, jsonb | String | string | |
| hll | String | string | |
| int4range, daterange, tsrange, tstzrange | String | string | |
| hash16, hash32 | String | string | |
| bit, bit varying | String | string | Returns Boolean type when bit(1) |
## openGauss User Manual
### Environmental Requirements
Supported openGauss versions: 2.x ~ 3.x.
### Permission Requirements
1. Adjust the source end WAL configuration.
Example configuration for `postgresql.conf`:
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/reserved-word.en.md
=====================================================
+++
title = "Reserved word"
weight = 5
+++
## RDL
### Basic Reserved Words
`CREATE`, `ALTER`, `DROP`, `TABLE`, `RULE`, `TYPE`, `NAME`, `PROPERTIES`, `TRUE`, `FALSE`, `IF`, `NOT`, `EXISTS`
### Storage Unit Definition
`ADD`, `RESOURCE`, `IF`, `EXISTS`, `HOST`, `PORT`, `DB`, `USER`, `PASSWORD`, `URL`
, `IGNORE`, `SINGLE`, `TABLES`
### Rule Definition
#### Sharding
`DEFAULT`, `SHARDING`, `BROADCAST`, `REFERENCE`, `DATABASE`, `STRATEGY`, `RULES`, `ALGORITHM`
, `DATANODES`, `DATABASE_STRATEGY`, `TABLE_STRATEGY`, `KEY_GENERATE_STRATEGY`, `RESOURCES`, `SHARDING_COLUMN`, `KEY`
, `GENERATOR`, `SHARDING_COLUMNS`, `KEY_GENERATOR`, `SHARDING_ALGORITHM`, `COLUMN`, `AUDIT_STRATEGY`
, `AUDITORS`, `ALLOW_HINT_DISABLE`
### Broadcast table
`BROADCAST`
#### Single Table
`SET`, `DEFAULT`, `SINGLE`, `STORAGE`, `UNIT`, `RANDOM`
#### Readwrite-Splitting
`READWRITE_SPLITTING`, `WRITE_STORAGE_UNIT`, `READ_STORAGE_UNITS`
, `AUTO_AWARE_RESOURCE`
#### Encrypt
`ENCRYPT`, `COLUMNS`, `CIPHER`, `ENCRYPT_ALGORITHM`
#### Database Discovery
`DB_DISCOVERY`, `STORAGE_UNITS`, `HEARTBEAT`
#### Shadow
`SHADOW`, `DEFAULT`, `SOURCE`, `SHADOW`
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/_index.cn.md
=====================================================
+++
title = "RQL 语法"
weight = 2
chapter = true
+++
RQL (Resource & Rule Query Language) 为 Apache ShardingSphere 的资源和规则查询语言。
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/_index.en.md
=====================================================
+++
title = "RQL Syntax"
weight = 2
chapter = true
+++
RQL (Resource & Rule Query Language) responsible for resources/rules query.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/mask/count-mask-rule.en.md
=====================================================
+++
title = "COUNT MASK RULE"
weight = 2
+++
### Description
The `COUNT MASK RULE` syntax is used to query the number of mask rules for specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
CountMaskRule::=
'COUNT' 'MASK' 'RULE' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted.
### Return value description
| Column | Description |
|-----------|----------------------------------------|
| rule_name | rule type |
| database | the database to which the rule belongs |
| count | the number of the rule |
### Example
- Query the number of mask rules for specified database.
```sql
COUNT MASK RULE FROM mask_db;
```
```sql
mysql> COUNT MASK RULE FROM mask_db;
+-----------+----------+-------+
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/mask/count-mask-rule.cn.md
=====================================================
+++
title = "COUNT MASK RULE"
weight = 2
+++
### 描述
`COUNT MASK RULE` 语法用于查询指定逻辑库中的数据脱敏规则数量。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
CountMaskRule::=
'COUNT' 'MASK' 'RULE' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`，如果也未使用 `DATABASE` 则会提示 `No database selected`。
### 返回值说明
| 列 | 说明 |
|-----------|---------|
| rule_name | 规则类型 |
| database | 规则所属逻辑库 |
| count | 规则数量 |
### 示例
- 查询指定逻辑库中的数据脱敏规则数量
```sql
COUNT MASK RULE FROM mask_db;
```
```sql
mysql> COUNT MASK RULE FROM mask_db;
+-----------+----------+-------+
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/mask/show-mask-rule.cn.md
=====================================================
+++
title = "SHOW MASK RULES"
weight = 1
+++
### 描述
`SHOW MASK RULES` 语法用于查询指定逻辑库中的数据脱敏规则。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowMaskRule::=
'SHOW' 'MASK' ('RULES' | 'RULE' ruleName) ('FROM' databaseName)?
ruleName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`， 如果也未使用 `DATABASE` 则会提示 `No database selected`。
### 返回值说明
| 列 | 说明 |
|-----------------|----------|
| table | 表名 |
| column | 列名 |
| algorithm_type | 数据脱敏算法类型 |
| algorithm_props | 数据脱敏算法参数 |
### 示例
- 查询指定逻辑库中的所有数据脱敏规则
```sql
SHOW MASK RULES FROM mask_db;
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/mask/_index.en.md
=====================================================
+++
title = "Mask"
weight = 6
chapter = true
+++
This chapter describes the syntax of mask.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/mask/show-mask-rule.en.md
=====================================================
+++
title = "SHOW MASK RULES"
weight = 1
+++
### Description
The `SHOW MASK RULES` syntax is used to query mask rules for specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowMaskRule::=
'SHOW' 'MASK' ('RULES' | 'RULE' ruleName) ('FROM' databaseName)?
ruleName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted.
### Return value description
| Column | Description |
|-----------------|---------------------------|
| table | Table name |
| column | Column name |
| algorithm_type | Mask algorithm type |
| algorithm_props | Mask algorithm properties |
### Example
- Query mask rules for specified database
```sql
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/broadcast-table/count-broadcast-rule.en.md
=====================================================
+++
title = "COUNT BROADCAST RULE"
weight = 2
+++
### Description
The `COUNT BROADCAST RULE` syntax is used to query the number of broadcast table rules for specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
CountBroadcastRule::=
'COUNT' 'BROADCAST' 'RULE' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted.
### Return value description
| Column | Description |
|-----------|----------------------------------------|
| rule_name | rule type |
| database | the database to which the rule belongs |
| count | the number of the rule |
### Example
- Query the number of broadcast table rules for specified database.
```sql
COUNT BROADCAST RULE FROM sharding_db;
```
```sql
mysql> COUNT BROADCAST RULE FROM sharding_db;
+--------------------------+----------------+-------+
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/broadcast-table/count-broadcast-rule.cn.md
=====================================================
+++
title = "COUNT BROADCAST RULE"
weight = 2
+++
### 描述
`COUNT BROADCAST RULE` 语法用于查询指定逻辑库中的广播表规则数量。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
CountBroadcastRule::=
'COUNT' 'BROADCAST' 'RULE' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`。
### 返回值说明
| 列 | 说明 |
|-----------|---------|
| rule_name | 规则类型 |
| database | 规则所属逻辑库 |
| count | 规则数量 |
### 示例
- 查询指定逻辑库中的广播表规则数量
```sql
COUNT BROADCAST RULE FROM sharding_db;
```
```sql
mysql> COUNT BROADCAST RULE FROM sharding_db;
+--------------------------+----------------+-------+
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/broadcast-table/show-broadcast-table-rule.cn.md
=====================================================
+++
title = "SHOW BROADCAST TABLE RULE"
weight = 1
+++
## 描述
`SHOW BROADCAST TABLE RULES` 语法用于查询指定数据库中具有广播规则的表。
### 语法定义
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowBroadcastTableRule ::=
'SHOW' 'BROADCAST' 'TABLE' 'RULES' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`； 如未使用 `DATABASE` 则会提示 `No database selected`。
### 返回值说明
| 列 | 说明 |
|-----------------|-------|
| broadcast_table | 广播表名称 |
### 示例
- 查询指定数据库中具有广播规则的表
```sql
SHOW BROADCAST TABLE RULES FROM sharding_db;
```
```sql
mysql> SHOW BROADCAST TABLE RULES FROM sharding_db;
+-----------------+
| broadcast_table |
+-----------------+
| t_a |
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/broadcast-table/_index.en.md
=====================================================
+++
title = "Broadcast Table"
weight = 2
chapter = true
+++
This chapter describes the syntax of broadcast table.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/broadcast-table/show-broadcast-table-rule.en.md
=====================================================
+++
title = "SHOW BROADCAST TABLE RULE"
weight = 1
+++
## Description
The `SHOW BROADCAST TABLE RULE` syntax is used to broadcast tables for specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowBroadcastTableRule ::=
'SHOW' 'BROADCAST' 'TABLE' 'RULES' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted.
### Return value description
| Column | Description |
|-----------------|----------------------|
| broadcast_table | Broadcast table name |
### Example
- Query broadcast tables for specified database.
```sql
SHOW BROADCAST TABLE RULES FROM sharding_db;
```
```sql
mysql> SHOW BROADCAST TABLE RULES FROM sharding_db;
+-----------------+
| broadcast_table |
+-----------------+
| t_a |
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/sharding/show-sharding-table-nodes.cn.md
=====================================================
+++
title = "SHOW SHARDING TABLE NODES"
weight = 9
+++
### 描述
`SHOW SHARDING TABLE NODES` 语法用于查询指定逻辑库中的指定分片表的节点分布。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowShardingTableNode::=
'SHOW' 'SHARDING' 'TABLE' 'NODES' tableName? ('FROM' databaseName)?
tableName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`。
### 返回值说明
| 列 | 说明 |
|-------|--------|
| name | 分片规则名称 |
| nodes | 分片节点 |
### 示例
- 查询指定逻辑库中指定分片表的节点分布
```sql
SHOW SHARDING TABLE NODES t_order_item FROM sharding_db;
```
```sql
mysql> SHOW SHARDING TABLE NODES t_order_item FROM sharding_db;
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/sharding/show-sharding-auditors.en.md
=====================================================
+++
title = "SHOW SHARDING AUDITORS"
weight = 7
+++
### Description
`SHOW SHARDING AUDITORS` syntax is used to query sharding auditors in specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowShardingAuditors::=
'SHOW' 'SHARDING' 'AUDITORS' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When databaseName is not specified, the default is the currently used DATABASE. If DATABASE is not used, No database selected will be prompted.
### Return value description
| column | Description |
|--------|---------------------------------------|
| name | Sharding auditor name |
| type | Sharding auditor algorithm type |
| props | Sharding auditor algorithm properties |
### Example
- Query sharding auditors for the specified logical database
```sql
SHOW SHARDING AUDITORS FROM sharding_db;
```
```sql
mysql> SHOW SHARDING AUDITORS FROM sharding_db;
+-------------------------------+-------------------------+-------+
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/sharding/show-unused-sharding-key-generators.en.md
=====================================================
+++
title = "SHOW UNUSED SHARDING KEY GENERATORS"
weight = 6
+++
### Description
`SHOW SHARDING KEY GENERATORS` syntax is used to query sharding key generators that are not used in specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowShardingKeyGenerators::=
'SHOW' 'SHARDING' 'KEY' 'GENERATOR' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When databaseName is not specified, the default is the currently used DATABASE. If DATABASE is not used, No database selected will be prompted.
### Return value description
| column | Description |
|--------|-----------------------------------|
| name | Sharding key generator name |
| type | Sharding key generator type |
| props | Sharding key generator properties |
### Example
- Query sharding key generators that are not used in the specified logical database
```sql
SHOW UNUSED SHARDING KEY GENERATORS FROM sharding_db;
```
```sql
mysql> SHOW UNUSED SHARDING KEY GENERATORS FROM sharding_db;
+-------------------------+-----------+-------+
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/sharding/show-default-sharding-strategy.cn.md
=====================================================
+++
title = "SHOW DEFAULT SHARDING STRATEGY"
weight = 4
+++
### 描述
`SHOW DEFAULT SHARDING STRATEGY` 语法用于查询指定逻辑库的默认分片策略。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowDefaultShardingStrategy::=
'SHOW' 'DEFAULT' 'SHARDING' 'STRATEGY' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`。
### 返回值说明
| 列 | 说明 |
|--------------------------|--------|
| name | 分片策略范围 |
| type | 分片策略类型 |
| sharding_column | 分片键 |
| sharding_algorithm_name | 分片算法名称 |
| sharding_algorithm_type | 分片算法类型 |
| sharding_algorithm_props | 分片算法参数 |
### 示例
- 查询指定逻辑库的默认分片策略
```sql
SHOW DEFAULT SHARDING STRATEGY FROM sharding_db;
```
```sql
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/sharding/count-sharding-rule.en.md
=====================================================
+++
title = "COUNT SHARDING RULE"
weight = 15
+++
### Description
The `COUNT SHARDING RULE` syntax is used to query the number of sharding rules for specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
CountShardingRule::=
'COUNT' 'SHARDING' 'RULE' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted.
### Return value description
| Column | Description |
|-----------|----------------------------------------|
| rule_name | rule type |
| database | the database to which the rule belongs |
| count | the number of the rule |
### Example
- Query the number of sharding rules for specified database.
```sql
COUNT SHARDING RULE FROM sharding_db;
```
```sql
mysql> COUNT SHARDING RULE FROM sharding_db;
+--------------------------+----------------+-------+
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/sharding/show-unused-sharding-auditors.cn.md
=====================================================
+++
title = "SHOW UNUSED SHARDING AUDITORS"
weight = 8
+++
### 描述
`SHOW UNUSED SHARDING AUDITORS` 语法用于查询指定逻辑库中未被使用的分片审计器。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowUnusedShardingAuditors::=
'SHOW' 'SHARDING' 'AUDITOR' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`。
### 返回值说明
| 列 | 说明 |
|-------|----------|
| name | 分片审计器名称 |
| type | 分片审计算法类型 |
| props | 分片审计算法参数 |
### 示例
- 查询指定逻辑库中未被使用的分片审计器
```sql
SHOW UNUSED SHARDING AUDITORS FROM sharding_db;
```
```sql
mysql> SHOW UNUSED SHARDING AUDITORS FROM sharding_db;
+-------------------------------+-------------------------+-------+
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/sharding/show-default-sharding-strategy.en.md
=====================================================
+++
title = "SHOW DEFAULT SHARDING STRATEGY"
weight = 4
+++
### Description
The `SHOW DEFAULT SHARDING STRATEGY` syntax is used to query default sharding strategy in specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowDefaultShardingStrategy::=
'SHOW' 'DEFAULT' 'SHARDING' 'STRATEGY' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted.
### Return value description
| Column | Description |
|--------------------------|-------------------------------|
| name | Sharding strategy scope |
| type | Sharding strategy type |
| sharding_column | Sharding column |
| sharding_algorithm_name | Sharding algorithm name |
| sharding_algorithm_type | Sharding algorithm type |
| sharding_algorithm_props | Sharding algorithm properties |
### Example
- Query default sharding strategy in specified database.
```sql
SHOW DEFAULT SHARDING STRATEGY FROM sharding_db;
```
```sql
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/sharding/show-unused-sharding-algorithms.en.md
=====================================================
+++
title = "SHOW UNUSED SHARDING ALGORITHMS"
weight = 3
+++
### Description
The `SHOW UNUSED SHARDING ALGORITHMS` syntax is used to query the unused sharding algorithms in the specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowShardingAlgorithms::=
'SHOW' 'UNUSED' 'SHARDING' 'ALGORITHMS' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted.
### Return value description
| Column | Description |
|--------|-------------------------------|
| name | Sharding algorithm name |
| type | Sharding algorithm type |
| props | Sharding algorithm properties |
### Example
- Query the unused sharding table algorithms of the specified logical database
```sql
SHOW UNUSED SHARDING ALGORITHMS;
```
```sql
mysql> SHOW UNUSED SHARDING ALGORITHMS;
+---------------+--------+-----------------------------------------------------+
| name | type | props |
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/sharding/show-sharding-key-generator.cn.md
=====================================================
+++
title = "SHOW SHARDING KEY GENERATORS"
weight = 5
+++
### 描述
`SHOW SHARDING KEY GENERATORS` 语法用于查询指定逻辑库的分布式主键生成器。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowShardingKeyGenerators::=
'SHOW' 'SHARDING' 'KEY' 'GENERATORS' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`。
### 返回值说明
| 列 | 说明 |
|-------|------------|
| name | 分布式主键生成器名称 |
| type | 分布式主键生成器类型 |
| props | 分布式主键生成器参数 |
### 示例
- 查询指定逻辑库的分布式主键生成器
```sql
SHOW SHARDING KEY GENERATORS FROM sharding_db;
```
```sql
mysql> SHOW SHARDING KEY GENERATORS FROM sharding_db;
+-------------------------+-----------+-------+
| name | type | props |
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/sharding/count-sharding-rule.cn.md
=====================================================
+++
title = "COUNT SHARDING RULE"
weight = 15
+++
### 描述
`COUNT SHARDING RULE` 语法用于查询指定逻辑库中的分片规则数量。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
CountShardingRule::=
'COUNT' 'SHARDING' 'RULE' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`。
### 返回值说明
| 列 | 说明 |
|-----------|---------|
| rule_name | 规则类型 |
| database | 规则所属逻辑库 |
| count | 规则数量 |
### 示例
- 查询指定逻辑库中的分片规则数量
```sql
COUNT SHARDING RULE FROM sharding_db;
```
```sql
mysql> COUNT SHARDING RULE FROM sharding_db;
+--------------------------+----------------+-------+
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/sharding/show-sharding-algorithms.cn.md
=====================================================
+++
title = "SHOW SHARDING ALGORITHMS"
weight = 2
+++
### 描述
`SHOW SHARDING ALGORITHMS` 语法用于查询指定逻辑库的分片算法。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowShardingAlgorithms::=
'SHOW' 'SHARDING' 'ALGORITHMS' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`。
### 返回值说明
| 列 | 说明 |
|-------|--------|
| name | 分片算法名称 |
| type | 分片算法类型 |
| props | 分片算法参数 |
### 示例
- 查询指定逻辑库的分片算法
```sql
SHOW SHARDING ALGORITHMS FROM sharding_db;
```
```sql
mysql> SHOW SHARDING ALGORITHMS FROM sharding_db;
+-------------------------+--------+-----------------------------------------------------+
| name | type | props |
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/sharding/show-sharding-table-rules-used-algorithm.en.md
=====================================================
+++
title = "SHOW SHARDING TABLE NODES"
weight = 10
+++
### Description
`SHOW SHARDING TABLE RULES USED ALGORITHM` syntax is used to query sharding rules used specified sharding algorithm in specified logical database
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowShardingTableRulesUsedAlgorithm::=
'SHOW' 'SHARDING' 'TABLE' 'RULES' 'USED' 'ALGORITHM' algorithmName ('FROM' databaseName)?
algorithmName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When databaseName is not specified, the default is the currently used DATABASE. If DATABASE is not used, No database selected will be prompted.
### Return value description
| Columns | Descriptions |
|---------|--------------------|
| type | Sharding rule type |
| name | Sharding rule name |
### Example
- Query sharding table rules for the specified sharding algorithm in spicified logical database
```sql
SHOW SHARDING TABLE RULES USED ALGORITHM table_inline FROM sharding_db;
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/sharding/show-sharding-table-reference-rules.cn.md
=====================================================
+++
title = "SHOW SHARDING TABLE REFERENCE RULE"
weight = 13
+++
### 描述
`SHOW SHARDING BINDING TABLE RULE` 语法用于查询指定逻辑库中指定分片表关联规则。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowShardingBindingTableRules::=
'SHOW' 'SHARDING' 'TABLE' 'REFERENCE' ('RULE' ruleName | 'RULES') ('FROM' databaseName)?
ruleName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`。
### 返回值说明
| 列 | 说明 |
|--------------------------|-----------|
| name | 分片表关联规则名称 |
| sharding_table_reference | 分片表关联关系 |
### 示例
- 查询指定逻辑库中的分片表关联规则
```sql
SHOW SHARDING TABLE REFERENCE RULES FROM sharding_db;
```
```sql
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/sharding/show-sharding-table-rule.cn.md
=====================================================
+++
title = "SHOW SHARDING TABLE RULE"
weight = 1
+++
### 描述
`SHOW SHARDING TABLE RULE` 语法用于查询指定逻辑库中的分片规则。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowShardingTableRule ::=
'SHOW' 'SHARDING' 'TABLE' ('RULE' tableName | 'RULES') ('FROM' databaseName)?
tableName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`。
### 返回值说明
| 列 | 说明 |
|-----------------------------------|-------------------------|
| table | 逻辑表名 |
| actual_data_nodes | 实际的数据节点 |
| actual_data_sources | 实际的数据源（通过 RDL 创建的规则时显示） |
| database_strategy_type | 数据库分片策略类型 |
| database_sharding_column | 数据库分片键 |
| database_sharding_algorithm_type | 数据库分片算法类型 |
| database_sharding_algorithm_props | 数据库分片算法参数 |
| table_strategy_type | 表分片策略类型 |
| table_sharding_column | 表分片键 |
| table_sharding_algorithm_type | 表分片算法类型 |
| table_sharding_algorithm_props | 表分片算法参数 |
| key_generate_column | 分布式主键生成列 |
| key_generator_type | 分布式主键生成器类型 |
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/sharding/show-sharding-table-rule.en.md
=====================================================
+++
title = "SHOW SHARDING TABLE RULE"
weight = 1
+++
### Description
The `SHOW SHARDING TABLE RULE` syntax is used to query the sharding table rule in the specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowShardingTableRule ::=
'SHOW' 'SHARDING' 'TABLE' ('RULE' tableName | 'RULES') ('FROM' databaseName)?
tableName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted.
### Return value description
| Column | Description |
|-----------------------------------|-----------------------------------------------------------|
| table | Logical table name |
| actual_data_nodes | Actual data node |
| actual_data_sources | Actual data source (Displayed when creating rules by RDL) |
| database_strategy_type | Database sharding strategy type |
| database_sharding_column | Database sharding column |
| database_sharding_algorithm_type | Database sharding algorithm type |
| database_sharding_algorithm_props | Database sharding algorithm properties |
| table_strategy_type | Table sharding strategy type |
| table_sharding_column | Table sharding column |
| table_sharding_algorithm_type | Table sharding algorithm type |
| table_sharding_algorithm_props | Table sharding algorithm properties |
| key_generate_column | Sharding key generator column |
| key_generator_type | Sharding key generator type |
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/sharding/show-sharding-table-rules-used-key-generator.en.md
=====================================================
+++
title = "SHOW SHARDING TABLE RULES USED KEY GENERATOR"
weight = 11
+++
### Description
`SHOW SHARDING TABLE RULES USED ALGORITHM` syntax is used to query sharding rules used specified sharding key generator in specified logical database
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowShardingTableRulesUsedKeyGenerator::=
'SHOW' 'SHARDING' 'TABLE' 'RULES' 'USED' 'KEY' 'GENERATOR' keyGeneratorName ('FROM' databaseName)?
keyGeneratorName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When databaseName is not specified, the default is the currently used DATABASE. If DATABASE is not used, No database selected will be prompted.
### Return value description
| Columns | Descriptions |
|---------|--------------------|
| type | Sharding rule type |
| name | Sharding rule name |
### Example
- Query sharding table rules for the specified sharding key generator in spicified logical database
```sql
SHOW SHARDING TABLE RULES USED KEY GENERATOR snowflake_key_generator FROM sharding_db;
```
```sql
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/sharding/_index.en.md
=====================================================
+++
title = "Sharding"
weight = 1
chapter = true
+++
This chapter describes the syntax of sharding.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/sharding/show-unused-sharding-algorithms.cn.md
=====================================================
+++
title = "SHOW UNUSED SHARDING ALGORITHMS"
weight = 3
+++
### 描述
`SHOW UNUSED SHARDING ALGORITHMS` 语法用于查询指定逻辑库未使用的分片算法。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowShardingAlgorithms::=
'SHOW' 'UNUSED' 'SHARDING' 'ALGORITHMS' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`。
### 返回值说明
| 列 | 说明 |
|-------|--------|
| name | 分片算法名称 |
| type | 分片算法类型 |
| props | 分片算法参数 |
### 示例
- 查询指定逻辑库未使用的分片算法
```sql
SHOW UNUSED SHARDING ALGORITHMS;
```
```sql
mysql> SHOW UNUSED SHARDING ALGORITHMS;
+---------------+--------+-----------------------------------------------------+
| name | type | props |
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/sharding/show-sharding-auditors.cn.md
=====================================================
+++
title = "SHOW SHARDING AUDITORS"
weight = 7
+++
### 描述
`SHOW SHARDING AUDITORS` 语法用于查询指定逻辑库中的分片审计器。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowShardingAuditors::=
'SHOW' 'SHARDING' 'AUDITORS' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`。
### 返回值说明
| 列 | 说明 |
|-------|----------|
| name | 分片审计器名称 |
| type | 分片审计算法类型 |
| props | 分片审计算法参数 |
### 示例
- 查询指定逻辑库中的分片审计器
```sql
SHOW SHARDING AUDITORS FROM sharding_db;
```
```sql
mysql> SHOW SHARDING AUDITORS FROM sharding_db;
+-------------------------------+-------------------------+-------+
| name | type | props |
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/sharding/show-sharding-algorithms.en.md
=====================================================
+++
title = "SHOW SHARDING ALGORITHMS"
weight = 2
+++
### Description
The `SHOW SHARDING ALGORITHMS` syntax is used to query the sharding algorithms in the specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowShardingAlgorithms::=
'SHOW' 'SHARDING' 'ALGORITHMS' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted.
### Return value description
| Column | Description |
|--------|-------------------------------|
| name | Sharding algorithm name |
| type | Sharding algorithm type |
| props | Sharding algorithm properties |
### Example
- Query the sharding table algorithms of the specified logical database
```sql
SHOW SHARDING ALGORITHMS FROM sharding_db;
```
```sql
mysql> SHOW SHARDING ALGORITHMS FROM sharding_db;
+-------------------------+--------+-----------------------------------------------------+
| name | type | props |
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/sharding/show-sharding-table-nodes.en.md
=====================================================
+++
title = "SHOW SHARDING TABLE NODES"
weight = 9
+++
### Description
`SHOW SHARDING TABLE NODES` syntax is used to query sharding table nodes in specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowShardingTableNode::=
'SHOW' 'SHARDING' 'TABLE' 'NODES' tableName? ('FROM' databaseName)?
tableName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When databaseName is not specified, the default is the currently used DATABASE. If DATABASE is not used, No database selected will be prompted.
### Return value description
| Columns | Descriptions |
|---------|--------------------|
| name | Sharding rule name |
| nodes | Sharding nodes |
### Example
- Query sharding table nodes for specified table in the specified logical database
```sql
SHOW SHARDING TABLE NODES t_order_item FROM sharding_db;
```
```sql
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/sharding/show-unused-sharding-key-generators.cn.md
=====================================================
+++
title = "SHOW UNUSED SHARDING KEY GENERATORS"
weight = 6
+++
### 描述
`SHOW UNUSED SHARDING KEY GENERATORS` 语法用于查询指定逻辑库中未被使用的分布式主键生成器。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowUnusedShardingKeyGenerators::=
'SHOW' 'UNUSED' 'SHARDING' 'KEY' 'GENERATOR' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`。
### 返回值说明
| 列 | 说明 |
|-------|------------|
| name | 分布式主键生成器名称 |
| type | 分布式主键生成器类型 |
| props | 分布式主键生成器参数 |
### 示例
- 查询指定逻辑库中未被使用的分布式主键生成器
```sql
SHOW UNUSED SHARDING KEY GENERATORS FROM sharding_db;
```
```sql
mysql> SHOW UNUSED SHARDING KEY GENERATORS FROM sharding_db;
+-------------------------+-----------+-------+
| name | type | props |
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/sharding/show-unused-sharding-auditors.en.md
=====================================================
+++
title = "SHOW UNUSED SHARDING AUDITORS"
weight = 8
+++
### Description
`SHOW SHARDING AUDITORS` syntax is used to query sharding auditors that are not used in specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowUnusedShardingAuditors::=
'SHOW' 'UNUSED' 'SHARDING' 'AUDITOR' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When databaseName is not specified, the default is the currently used DATABASE. If DATABASE is not used, No database selected will be prompted.
### Return value description
| column | Description |
|--------|---------------------------------------|
| name | Sharding auditor name |
| type | Sharding auditor algorithm type |
| props | Sharding auditor algorithm properties |
### Example
- Query sharding auditors that are not used in the specified logical database
```sql
SHOW UNUSED SHARDING AUDITORS FROM sharding_db;
```
```sql
mysql> SHOW UNUSED SHARDING AUDITORS FROM sharding_db;
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/sharding/show-sharding-key-generator.en.md
=====================================================
+++
title = "SHOW SHARDING KEY GENERATORS"
weight = 5
+++
### Description
`SHOW SHARDING KEY GENERATORS` syntax is used to query sharding key generators in specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowShardingKeyGenerators::=
'SHOW' 'SHARDING' 'KEY' 'GENERATORS' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When databaseName is not specified, the default is the currently used DATABASE. If DATABASE is not used, No database selected will be prompted.
### Return value description
| column | Description |
|--------|-----------------------------------|
| name | Sharding key generator name |
| type | Sharding key generator type |
| props | Sharding key generator properties |
### Example
- Query the sharding key generators of the specified logical database
```sql
SHOW SHARDING KEY GENERATORS FROM sharding_db;
```
```sql
mysql> SHOW SHARDING KEY GENERATORS FROM sharding_db;
+-------------------------+-----------+-------+
| name | type | props |
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/sharding/show-sharding-table-rules-used-auditor.en.md
=====================================================
+++
title = "SHOW SHARDING TABLE RULES USED AUDITOR"
weight = 12
+++
### Description
`SHOW SHARDING TABLE RULES USED ALGORITHM` syntax is used to query sharding rules used specified sharding auditor in specified logical database
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowShardingTableRulesUsedAuditor::=
'SHOW' 'SHARDING' 'TABLE' 'RULES' 'USED' 'AUDITOR' AuditortorName ('FROM' databaseName)?
AuditortorName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When databaseName is not specified, the default is the currently used DATABASE. If DATABASE is not used, No database selected will be prompted.
### Return value description
| Columns | Descriptions |
|---------|--------------------|
| type | Sharding rule type |
| name | Sharding rule name |
### Example
- Query sharding table rules for the specified sharding auditor in spicified logical database
```sql
SHOW SHARDING TABLE RULES USED AUDITOR sharding_key_required_auditor FROM sharding_db;
```
```sql
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/sharding/show-sharding-table-reference-rules.en.md
=====================================================
+++
title = "SHOW SHARDING TABLE REFERENCE RULE"
weight = 13
+++
### Description
`SHOW SHARDING TABLE REFERENCE RULE` syntax is used to query specified sharding table reference rule in the specified logical database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowShardingBindingTableRules::=
'SHOW' 'SHARDING' 'TABLE' 'REFERENCE' ('RULE' ruleName | 'RULES') ('FROM' databaseName)?
ruleName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, No database selected will be prompted.
### Return value description
| Columns | Descriptions |
|--------------------------|------------------------------------|
| name | Sharding table reference rule name |
| sharding_table_reference | sharding table reference |
### Example
- Query sharding table reference rules for the specified logical database
```sql
SHOW SHARDING TABLE REFERENCE RULES FROM sharding_db;
```
```sql
mysql> SHOW SHARDING TABLE REFERENCE RULES FROM sharding_db;
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/_index.en.md
=====================================================
+++
title = "Rule Query"
weight = 2
chapter = true
+++
This chapter describes the syntax of rule query.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/shadow/count-shadow-rule.cn.md
=====================================================
+++
title = "COUNT SHADOW RULE"
weight = 5
+++
### 描述
`COUNT SHADOW RULE` 语法用于查询指定逻辑库中的影子库压测规则数量。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
CountShadowRule::=
'COUNT' 'SHADOW' 'RULE' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`。
### 返回值说明
| 列 | 说明 |
|-----------|---------|
| rule_name | 规则类型 |
| database | 规则所属逻辑库 |
| count | 规则数量 |
### 示例
- 查询指定逻辑库中的影子库压测规则数量
```sql
COUNT SHADOW RULE FROM shadow_db;
```
```sql
mysql> COUNT SHADOW RULE FROM shadow_db;
+-----------+--------------+-------+
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/shadow/show-shadow-algorithm.en.md
=====================================================
+++
title = "SHOW SHADOW ALGORITHMS"
weight = 3
+++
### Description
The `SHOW SHADOW ALGORITHMS` syntax is used to query shadow algorithms for specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowEncryptAlgorithm::=
'SHOW' 'SHADOW' 'ALGORITHMS' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted.
### Return value description
| Column | Description |
|-----------------------|-----------------------------|
| shadow_algorithm_name | Shadow algorithm name |
| type | Shadow algorithm type |
| props | Shadow algorithm properties |
| is_default | Default |
### Example
- Query shadow algorithms for specified database.
```sql
SHOW SHADOW ALGORITHMS FROM shadow_db;
```
```sql
mysql> SHOW SHADOW ALGORITHMS FROM shadow_db;
+-------------------------+-------------+-----------------------------------------+------------+
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/shadow/show-default-shadow-algorithm.cn.md
=====================================================
+++
title = "SHOW DEFAULT SHADOW ALGORITHM"
weight = 4
+++
### 描述
`SHOW DEFAULT SHADOW ALGORITHM` 语法用于查询指定逻辑库中的默认影子算法。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowEncryptAlgorithm::=
'SHOW' 'DEFAULT' 'SHADOW' 'ALGORITHM' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`。
### 返回值说明
| 列 | 说明 |
|-----------------------|--------|
| shadow_algorithm_name | 影子算法名称 |
| type | 算法类型 |
| props | 算法参数 |
### 示例
- 查询指定逻辑库中的默认影子算法
```sql
SHOW DEFAULT SHADOW ALGORITHM FROM shadow_db;
```
```sql
mysql> SHOW DEFAULT SHADOW ALGORITHM FROM shadow_db;
+-------------------------+-------------+-----------------------------------------+
| shadow_algorithm_name | type | props |
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/shadow/show-shadow-rule.en.md
=====================================================
+++
title = "SHOW SHADOW RULE"
weight = 1
+++
### Description
The `SHOW SHADOW RULE` syntax is used to query shadow rules for specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowEncryptRule::=
'SHOW' 'SHADOW' ('RULES' | 'RULE' shadowRuleName) ('FROM' databaseName)?
shadowRuleName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted.
### Return value description
| Column | Description |
|--------------|-------------------------|
| rule_name | Shadow rule name |
| source_name | Data source name |
| shadow_name | Shadow data source name |
| shadow_table | Shadow table |
### Example
- Query specified shadow rule in specified database.
```sql
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/shadow/show-shadow-algorithm.cn.md
=====================================================
+++
title = "SHOW SHADOW ALGORITHMS"
weight = 3
+++
### 描述
`SHOW SHADOW ALGORITHMS` 语法用于查询指定逻辑库中的影子算法。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowEncryptAlgorithm::=
'SHOW' 'SHADOW' 'ALGORITHMS' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`。
### 返回值说明
| 列 | 说明 |
|-----------------------|--------|
| shadow_algorithm_name | 影子算法名称 |
| type | 算法类型 |
| props | 算法参数 |
| is_default | 是否默认 |
### 示例
- 查询指定逻辑库中的影子算法
```sql
SHOW SHADOW ALGORITHMS FROM shadow_db;
```
```sql
mysql> SHOW SHADOW ALGORITHMS FROM shadow_db;
+-------------------------+-------------+-----------------------------------------+------------+
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/shadow/show-default-shadow-algorithm.en.md
=====================================================
+++
title = "SHOW DEFAULT SHADOW ALGORITHM"
weight = 4
+++
### Description
The `SHOW DEFAULT SHADOW ALGORITHM` syntax is used to query default shadow algorithm for specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowEncryptAlgorithm::=
'SHOW' 'SHADOW' 'ALGORITHM' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted.
### Return value description
| Column | Description |
|-----------------------|-----------------------------|
| shadow_algorithm_name | Shadow algorithm name |
| type | Shadow algorithm type |
| props | Shadow algorithm properties |
### Example
- Query default shadow algorithm for specified database.
```sql
SHOW DEFAULT SHADOW ALGORITHM FROM shadow_db;
```
```sql
mysql> SHOW DEFAULT SHADOW ALGORITHM FROM shadow_db;
+-------------------------+-------------+-----------------------------------------+
| shadow_algorithm_name | type | props |
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/shadow/_index.en.md
=====================================================
+++
title = "Shadow"
weight = 7
chapter = true
+++
This chapter describes the syntax of shadow.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/shadow/show-shadow-table-rule.cn.md
=====================================================
+++
title = "SHOW SHADOW TABLE RULES"
weight = 2
+++
### 描述
`SHOW SHADOW TABLE RULES` 语法用于查询指定逻辑库中的影子表规则。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowEncryptRule::=
'SHOW' 'SHADOW' 'TABLE' 'RULES' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`。
### 返回值说明
| 列 | 说明 |
|-----------------------|--------|
| shadow_table | 影子表 |
| shadow_algorithm_name | 影子算法名称 |
### 示例
- 查询指定逻辑库中的影子表规则
```sql
SHOW SHADOW TABLE RULES FROM shadow_db;
```
```sql
mysql> SHOW SHADOW TABLE RULES FROM shadow_db;
+--------------+-------------------------------------------------------+
| shadow_table | shadow_algorithm_name |
+--------------+-------------------------------------------------------+
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/shadow/count-shadow-rule.en.md
=====================================================
+++
title = "COUNT SHADOW RULE"
weight = 5
+++
### Description
The `COUNT SHADOW RULE` syntax is used to query the number of shadow rules for specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
CountShadowRule::=
'COUNT' 'SHADOW' 'RULE' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted.
### Return value description
| Column | Description |
|-----------|----------------------------------------|
| rule_name | rule type |
| database | the database to which the rule belongs |
| count | the number of the rule |
### Example
- Query the number of shadow rules for specified database.
```sql
COUNT SHADOW RULE FROM shadow_db;
```
```sql
mysql> COUNT SHADOW RULE FROM shadow_db;
+-----------+--------------+-------+
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/shadow/show-shadow-rule.cn.md
=====================================================
+++
title = "SHOW SHADOW RULE"
weight = 1
+++
### 描述
`SHOW SHADOW RULE` 语法用于查询指定逻辑库中的影子规则。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowEncryptRule::=
'SHOW' 'SHADOW' ('RULES' | 'RULE' shadowRuleName) ('FROM' databaseName)?
shadowRuleName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`。
### 返回值说明
| 列 | 说明 |
|--------------|---------|
| rule_name | 规则名称 |
| source_name | 数据源名称 |
| shadow_name | 影子数据源名称 |
| shadow_table | 影子表 |
### 示例
- 查询指定逻辑库中的指定影子规则
```sql
SHOW SHADOW RULE shadow_rule FROM shadow_db;
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/shadow/show-shadow-table-rule.en.md
=====================================================
+++
title = "SHOW SHADOW TABLE RULES"
weight = 2
+++
### Description
The `SHOW SHADOW TABLE RULES` syntax is used to query shadow table rules for specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowEncryptRule::=
'SHOW' 'SHADOW' 'TABLE' 'RULES' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted.
### Return value description
| Column | Description |
|-----------------------|-----------------------|
| shadow_table | Shadow table |
| shadow_algorithm_name | Shadow algorithm name |
### Example
- Query shadow table rules for specified database.
```sql
SHOW SHADOW TABLE RULES FROM shadow_db;
```
```sql
mysql> SHOW SHADOW TABLE RULES FROM shadow_db;
+--------------+-------------------------------------------------------+
| shadow_table | shadow_algorithm_name |
+--------------+-------------------------------------------------------+
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/readwrite-splitting/show-readwrite-splitting-rule.cn.md
=====================================================
+++
title = "SHOW READWRITE_SPLITTING RULE"
weight = 1
+++
### 描述
`SHOW READWRITE_SPLITTING RULE` 语法用于查询指定逻辑库中的指定读写分离规则。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowReadWriteSplittingRule::=
'SHOW' 'READWRITE_SPLITTING' ('RULE' ruleName | 'RULES') ('FROM' databaseName)?
ruleName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`。
### 返回值说明
| 列 | 说明 |
|---------------------------------- |------------------- |
| name | 读写分离规则名称 |
| write_data_source_name | 写数据源名称 |
| read_data_source_names | 读数据源名称列表 |
| transactional_read_query_strategy | 事务内读请求路由策略 |
| load_balancer_type | 负载均衡算法类型 |
| load_balancer_props | 负载均衡算法参数 |
### 示例
- 查询指定逻辑库中的读写分离规则
```sql
SHOW READWRITE_SPLITTING RULES FROM readwrite_splitting_db;
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/readwrite-splitting/show-readwrite-splitting-rule.en.md
=====================================================
+++
title = "SHOW READWRITE_SPLITTING RULE"
weight = 1
+++
### Description
The `SHOW READWRITE_SPLITTING RULE` syntax is used to query specified readwrite-splitting rules for specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowReadWriteSplittingRule::=
'SHOW' 'READWRITE_SPLITTING' ('RULE' ruleName | 'RULES') ('FROM' databaseName)?
ruleName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted.
### Return value description
| Column | Description |
|-----------------------------------|------------------------------------------------------|
| name | Readwrite-splitting rule name |
| write_data_source_name | Write data source name |
| read_data_source_names | Read data source name list |
| transactional_read_query_strategy | Routing strategy for read query within a transaction |
| load_balancer_type | Load balance algorithm type |
| load_balancer_props | Load balance algorithm parameter |
### Example
- Query readwrite-splitting rules for specified database.
```sql
SHOW READWRITE_SPLITTING RULES FROM readwrite_splitting_db;
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/readwrite-splitting/_index.en.md
=====================================================
+++
title = "Readwrite-Splitting"
weight = 4
chapter = true
+++
This chapter describes the syntax of readwrite-splitting.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/readwrite-splitting/count-readwrite-splitting-rule.en.md
=====================================================
+++
title = "COUNT READWRITE_SPLITTING RULE"
weight = 2
+++
### Description
The `COUNT READWRITE_SPLITTING RULE` syntax is used to query the number of readwrite-splitting rules for specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
CountReadwriteSplittingRule::=
'COUNT' 'READWRITE_SPLITTING' 'RULE' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted.
### Return value description
| Column | Description |
|-----------|----------------------------------------|
| rule_name | rule type |
| database | the database to which the rule belongs |
| count | the number of the rule |
### Example
- Query the number of readwrite-splitting rules for specified database.
```sql
COUNT READWRITE_SPLITTING RULE FROM readwrite_splitting_db;
```
```sql
mysql> COUNT READWRITE_SPLITTING RULE FROM readwrite_splitting_db;
+---------------------+---------------------------+-------+
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/readwrite-splitting/count-readwrite-splitting-rule.cn.md
=====================================================
+++
title = "COUNT READWRITE_SPLITTING RULE"
weight = 2
+++
### 描述
`COUNT READWRITE_SPLITTING RULE` 语法用于查询指定逻辑库中的读写分离规则数量。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
CountReadwriteSplittingRule::=
'COUNT' 'READWRITE_SPLITTING' 'RULE' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`。
### 返回值说明
| 列 | 说明 |
|-----------|---------|
| rule_name | 规则类型 |
| database | 规则所属逻辑库 |
| count | 规则数量 |
### 示例
- 查询指定逻辑库中的读写分离规则数量
```sql
COUNT READWRITE_SPLITTING RULE FROM readwrite_splitting_db;
```
```sql
mysql> COUNT READWRITE_SPLITTING RULE FROM readwrite_splitting_db;
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/single-table/show-unloaded-single-tables.cn.md
=====================================================
+++
title = "SHOW UNLOADED SINGLE TABLES"
weight = 4
+++
### 描述
`SHOW UNLOADED SINGLE TABLES` 语法用于查询未加载的单表。
### 语法
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
showUnloadedSingleTables::=
'SHOW' 'UNLOADED' 'SINGLE' 'TABLES'
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 返回值说明
| 列 | 说明 |
|-------------------|---------------------|
| table_name | 单表名称 |
| storage_unit_name | 单表所在的存储单元名称 |
### 示例
- 查询未加载的单表
```sql
SHOW UNLOADED SINGLE TABLES;
```
```sql
mysql> SHOW UNLOADED SINGLE TABLES;
+------------+-------------------+
| table_name | storage_unit_name |
+------------+-------------------+
| t_single | ds_1 |
+------------+-------------------+
1 row in set (0.01 sec)
```
### 保留字
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/single-table/show-deafult-single-table-storage-unit.cn.md
=====================================================
+++
title = "SHOW DEFAULT SINGLE TABLE STORAGE UNIT"
weight = 2
+++
### 描述
`SHOW DEFAULT SINGLE TABLE STORAGE UNIT` 语法用于查询指定逻辑库中的存储单元信息。
### 语法
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowDefaultSingleTableStorageUnit::=
'SHOW' 'DEFAULT' 'SINGLE' 'TABLE' 'STORAGE' 'UNIT' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`。
### 返回值说明
| 列 | 说明 |
|--------------------|---------|
| storage_unit_name | 存储单元名称 |
### 示例
- 查询当前逻辑库中的存储单元信息
```sql
SHOW DEFAULT SINGLE TABLE STORAGE UNIT
```
```sql
sql> SHOW DEFAULT SINGLE TABLE STORAGE UNIT;
+-------------------+
| storage_unit_name |
+-------------------+
| ds_0 |
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/single-table/count-single-table.en.md
=====================================================
+++
title = "COUNT SINGLE_TABLE RULE"
weight = 3
+++
### Description
The `COUNT SINGLE TABLE` syntax is used to query number of single table for specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
CountSingleTable::=
'COUNT' 'SINGLE' 'TABLE' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted.
### Return Value Description
| Column | Description |
|------------|-----------------------------------------------------|
| database | The database name where the single table is located |
| count | The count of single table |
### Example
- Query the number of single rules for specified database.
```sql
COUNT SINGLE TABLE
```
```sql
mysql> COUNT SINGLE TABLE;
+----------+--------+
| database | count |
+----------+--------+
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/single-table/show-deafult-single-table-storage-unit.en.md
=====================================================
+++
title = "SHOW DEFAULT SINGLE TABLE STORAGE UNIT"
weight = 2
+++
### Description
The `SHOW DEFAULT SINGLE TABLE STORAGE UNIT` syntax is used to query storage units for specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowDefaultSingleTableStorageUnit::=
'SHOW' 'DEFAULT' 'SINGLE' 'TABLE' 'STORAGE' 'UNIT' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted.
### Return Value Description
| Column | Description |
|--------------------|-------------------|
| storage_unit_name | Storage unit name |
### Example
- Query storage units for specified database.
```sql
SHOW DEFAULT SINGLE TABLE STORAGE UNIT
```
```sql
sql> SHOW DEFAULT SINGLE TABLE STORAGE UNIT;
+-------------------+
| storage_unit_name |
+-------------------+
| ds_0 |
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/single-table/count-single-table.cn.md
=====================================================
+++
title = "COUNT SINGLE_TABLE RULE"
weight = 3
+++
### 描述
`COUNT SINGLE TABLE` 语法用于查询指定逻辑库中的单表个数。
### 语法
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
CountSingleTable::=
'COUNT' 'SINGLE' 'TABLE' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`。
### 返回值说明
| 列 | 说明 |
|----------|------------|
| database | 单表所在的数据库名称 |
| count | 单表个数 |
### 示例
- 查询当前逻辑库中的单表规则个数
```sql
COUNT SINGLE TABLE
```
```sql
mysql> COUNT SINGLE TABLE;
+----------+--------+
| database | count |
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/single-table/show-unloaded-single-tables.en.md
=====================================================
+++
title = "SHOW UNLOADED SINGLE TABLES"
weight = 4
+++
### Description
The `SHOW UNLOADED SINGLE TABLES` syntax is used to query unloaded single tables.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
showUnloadedSingleTables::=
'SHOW' 'UNLOADED' 'SINGLE' 'TABLES'
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Return value description
| Column | Description |
|-------------------|---------------------------------------------------------|
| table_name | Single table name |
| storage_unit_name | The storage unit name where the single table is located |
### Example
- Query unloaded single tables.
```sql
SHOW UNLOADED SINGLE TABLES;
```
```sql
mysql> SHOW UNLOADED SINGLE TABLES;
+------------+-------------------+
| table_name | storage_unit_name |
+------------+-------------------+
| t_single | ds_1 |
+------------+-------------------+
1 row in set (0.01 sec)
```
### Reserved word
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/single-table/_index.en.md
=====================================================
+++
title = "Single Table"
weight = 3
chapter = true
+++
This chapter describes the syntax of single table.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/single-table/show-single-table.cn.md
=====================================================
+++
title = "SHOW SINGLE TABLE"
weight = 1
+++
### 描述
`SHOW SINGLE TABLE` 语法用于查询指定逻辑库中的单表。
### 语法
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowSingleTable::=
'SHOW' 'SINGLE' ('TABLES' ('LIKE' likeLiteral)?|'TABLE' tableName) ('FROM' databaseName)?
tableName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`。
### 返回值说明
| 列 | 说明 |
|-------------------|-------------------|
| table_name | 单表名称 |
| storage_unit_name | 单表所在的数据源名称 |
### 示例
- 查询指定逻辑库中的指定单表
```sql
SHOW SINGLE TABLE t_user FROM sharding_db;
```
```sql
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/single-table/show-single-table.en.md
=====================================================
+++
title = "SHOW SINGLE TABLE"
weight = 1
+++
### Description
The `SHOW SINGLE TABLE` syntax is used to query single tables for specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowSingleTable::=
'SHOW' 'SINGLE' ('TABLES' ('LIKES' likeLiteral)?|'TABLE' tableName) ('FROM' databaseName)?
tableName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted.
### Return value description
| Column | Description |
|-------------------|---------------------------------------------------------|
| table_name | Single table name |
| storage_unit_name | The storage unit name where the single table is located |
### Example
- Query specified single table for specified database.
```sql
SHOW SINGLE TABLE t_user FROM sharding_db;
```
```sql
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/encrypt/count-encrypt-rule.cn.md
=====================================================
+++
title = "COUNT ENCRYPT RULE"
weight = 2
+++
### 描述
`COUNT ENCRYPT RULE` 语法用于查询指定逻辑库中的加密规则数量。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
CountEncryptRule::=
'COUNT' 'ENCRYPT' 'RULE' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`。
### 返回值说明
| 列 | 说明 |
|-----------|---------|
| rule_name | 规则类型 |
| database | 规则所属逻辑库 |
| count | 规则数量 |
### 示例
- 查询指定逻辑库中的加密规则数量
```sql
COUNT ENCRYPT RULE FROM encrypt_db;
```
```sql
mysql> COUNT ENCRYPT RULE FROM encrypt_db;
+-----------+---------------+-------+
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/encrypt/show-encrypt-rule.en.md
=====================================================
+++
title = "SHOW ENCRYPT RULES"
weight = 1
+++
### Description
The `SHOW ENCRYPT RULES` syntax is used to query encryption rules for a specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowEncryptRule::=
'SHOW' 'ENCRYPT' ('RULES' | 'TABLE' 'RULE' ruleName) ('FROM' databaseName)?
ruleName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Note
- When `databaseName` is not specified, then `DATABASE`is currently used as the default name. If `DATABASE` is not used, you will receive a `No database selected` prompt.
### Return value description
| Column | Description |
|--------------------------|-------------------------------------------|
| table | Logical table name |
| logic_column | Logical column name |
| cipher_column | Ciphertext column name |
| assisted_query_column | Assisted query column name |
| like_query_column | Like query column name |
| encryptor_type | Encryption algorithm type |
| encryptor_props | Encryption algorithm parameter |
| assisted_query_type | Assisted query algorithm type |
| assisted_query_props | Assisted query algorithm parameter |
| like_query_type | Like query algorithm type |
| like_query_props | Like query algorithm parameter |
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/encrypt/show-encrypt-rule.cn.md
=====================================================
+++
title = "SHOW ENCRYPT RULES"
weight = 1
+++
### 描述
`SHOW ENCRYPT RULES` 语法用于查询指定逻辑库中的数据加密规则。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowEncryptRule::=
'SHOW' 'ENCRYPT' ('RULES' | 'TABLE' 'RULE' ruleName) ('FROM' databaseName)?
ruleName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`。
### 返回值说明
| 列 | 说明 |
|--------------------------|-------------|
| table | 逻辑表名 |
| logic_column | 逻辑列名 |
| cipher_column | 密文列名 |
| assisted_query_column | 辅助查询列名 |
| like_query_column | 模糊查询列名 |
| encryptor_type | 加密算法类型 |
| encryptor_props | 加密算法参数 |
| assisted_query_type | 辅助查询算法类型 |
| assisted_query_props | 辅助查询算法参数 |
| like_query_type | 模糊查询算法类型 |
| like_query_props | 模糊查询算法参数 |
### 示例
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/encrypt/_index.en.md
=====================================================
+++
title = "Encrypt"
weight = 5
chapter = true
+++
This chapter describes the syntax of encrypt.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/rule-query/encrypt/count-encrypt-rule.en.md
=====================================================
+++
title = "COUNT ENCRYPT RULE"
weight = 2
+++
### Description
The `COUNT ENCRYPT RULE` syntax is used to query the number of encrypt rules for specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
CountEncryptRule::=
'COUNT' 'ENCRYPT' 'RULE' ('FROM' databaseName)?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted.
### Return value description
| Column | Description |
|-----------|----------------------------------------|
| rule_name | rule type |
| database | the database to which the rule belongs |
| count | the number of the rule |
### Example
- Query the number of encrypt rules for specified database.
```sql
COUNT ENCRYPT RULE FROM encrypt_db;
```
```sql
mysql> COUNT ENCRYPT RULE FROM encrypt_db;
+-----------+---------------+-------+
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/storage-unit-query/show-storage-units.en.md
=====================================================
+++
title = "SHOW STORAGE UNITS"
weight = 1
+++
### Description
The `SHOW STORAGE UNITS` syntax is used to query the storage units that have been added to the specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowStorageUnit ::=
'SHOW' 'STORAGE' 'UNITS' ('WHERE' 'USAGE_COUNT' '=' usageCount)? ('FROM' databaseName)?
usageCount ::=
int
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`; if `DATABASE` is not used, it will prompt `No database selected`.
### Return Value Description
| Column | Description |
|-----------|------------------------|
| name | Storage unit name |
| type | Storage unit type |
| host | Storage unit host |
| port | Storage unit port |
| db | Database name |
| attribute | Storage unit attribute |
### Example
- Query unused storage units for the specified database
```sql
SHOW STORAGE UNITS WHERE USAGE_COUNT = 0 FROM sharding_db;
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/storage-unit-query/_index.en.md
=====================================================
+++
title = "Storage Unit Query"
weight = 1
chapter = true
+++
This chapter describes the syntax of storage unit query.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rql/storage-unit-query/show-storage-units.cn.md
=====================================================
+++
title = "SHOW STORAGE UNITS"
weight = 1
+++
### 描述
`SHOW STORAGE UNITS` 语法用于查询指定逻辑库已经注册的存储单元。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowStorageUnit ::=
'SHOW' 'STORAGE' 'UNITS' ('WHERE' 'USAGE_COUNT' '=' usageCount)? ('FROM' databaseName)?
usageCount ::=
int
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 特别说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`； 如未使用 `DATABASE` 则会提示 `No database selected`。
### 返回值说明
| 列 | 说明 |
|-----------|--------|
| name | 存储单元名称 |
| type | 存储单元类型 |
| host | 存储单元地址 |
| port | 存储单元端口 |
| db | 数据库名称 |
| attribute | 存储单元参数 |
### 示例
- 查询指定逻辑库中未被使用的存储单元
```sql
SHOW STORAGE UNITS WHERE USAGE_COUNT = 0 FROM sharding_db;
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rul/preview-sql.en.md
=====================================================
+++
title = "PREVIEW SQL"
weight = 3
+++
### Description
The `PREVIEW SQL` syntax is used to preview `SQL` execution plan.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
PreviewSql ::=
'PREVIEW' sqlStatement
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Return Value Description
| Column | Description |
|------------------|-----------------------------|
| data_source_name | storage unit name |
| actual_sql | actual excute SQL statement |
### Example
- Preview `SQL` execution plan
```sql
PREVIEW SELECT * FROM t_order;
```
```sql
mysql> PREVIEW SELECT * FROM t_order;
+------------------+-----------------------+
| data_source_name | actual_sql |
+------------------+-----------------------+
| su_1 | SELECT * FROM t_order |
+------------------+-----------------------+
1 row in set (0.18 sec)
```
### Reserved word
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rul/format-sql.en.md
=====================================================
+++
title = "FORMAT SQL"
weight = 2
+++
### Description
The `FORMAT SQL` syntax is used to parse `SQL` and output formatted `SQL` statement.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ParseSql ::=
'FORMAT' sqlStatement
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Return Value Description
| Column | Description |
|------------------|-------------------------|
| formatted_result | formatted SQL statement |
### Example
- Parse `SQL` and output formatted `SQL` statement
```sql
FORMAT SELECT * FROM t_order;
```
```sql
mysql> FORMAT SELECT * FROM t_order;
+-------------------------+
| formatted_result |
+-------------------------+
| SELECT *
FROM t_order; |
+-------------------------+
1 row in set (0.00 sec)
```
### Reserved word
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rul/preview-sql.cn.md
=====================================================
+++
title = "PREVIEW SQL"
weight = 3
+++
### 描述
`PREVIEW SQL` 语法用于预览 `SQL` 执行计划。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
PreviewSql ::=
'PREVIEW' sqlStatement
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 返回值说明
| 列 | 说明 |
|------------------|-------------|
| data_source_name | 存储单元名称 |
| actual_sql | 实际执行 SQL 语句 |
### 示例
- 预览 `SQL` 执行计划
```sql
PREVIEW SELECT * FROM t_order;
```
```sql
mysql> PREVIEW SELECT * FROM t_order;
+------------------+-----------------------+
| data_source_name | actual_sql |
+------------------+-----------------------+
| su_1 | SELECT * FROM t_order |
+------------------+-----------------------+
1 row in set (0.18 sec)
```
### 保留字
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rul/parse-sql.en.md
=====================================================
+++
title = "PARSE SQL"
weight = 1
+++
### Description
The `PARSE SQL` syntax is used to parse `SQL` and output abstract syntax tree.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ParseSql ::=
'PARSE' sqlStatement
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Return Value Description
| Column | Description |
|-------------------------|--------------------------------|
| parsed_statement | parsed SQL statement type |
| parsed_statement_detail | detail of the parsed statement |
### Example
- Parse `SQL` and output abstract syntax tree
```sql
PARSE SELECT * FROM t_order;
```
```sql
mysql> PARSE SELECT * FROM t_order;
+----------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| parsed_statement | parsed_statement_detail |
+----------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| MySQLSelectStatement | {"projections":{"startIndex":7,"stopIndex":7,"projections":[{"startIndex":7,"stopIndex":7}],"distinctRow":false},"from":{"tableName":{"startIndex":14,"stopIndex":20,"identifier":{"value":"t_order","quoteCharacter":"NONE"}}},"parameterCount":0,"parameterMarkerSegments":[],"commentSegments":[]} |
+----------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
1 row in set (0.01 sec)
```
### Reserved word
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rul/_index.en.md
=====================================================
+++
title = "RUL Syntax"
weight = 4
chapter = true
+++
RUL (Resource Utility Language) responsible for SQL parsing, SQL formatting, preview execution plan and more utility functions.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rul/parse-sql.cn.md
=====================================================
+++
title = "PARSE SQL"
weight = 1
+++
### 描述
`PARSE SQL` 语法用于解析 `SQL` 并输出抽象语法树。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ParseSql ::=
'PARSE' sqlStatement
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 返回值说明
| 列 | 说明 |
|-------------------------|-----------|
| parsed_statement | 解析SQL语句类型 |
| parsed_statement_detail | 解析SQL语句细节 |
### 示例
- 解析 `SQL` 并输出抽象语法树
```sql
PARSE SELECT * FROM t_order;
```
```sql
mysql> PARSE SELECT * FROM t_order;
+----------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| parsed_statement | parsed_statement_detail |
+----------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| MySQLSelectStatement | {"projections":{"startIndex":7,"stopIndex":7,"projections":[{"startIndex":7,"stopIndex":7}],"distinctRow":false},"from":{"tableName":{"startIndex":14,"stopIndex":20,"identifier":{"value":"t_order","quoteCharacter":"NONE"}}},"parameterCount":0,"parameterMarkerSegments":[],"commentSegments":[]} |
+----------------------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
1 row in set (0.01 sec)
```
### 保留字
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rul/format-sql.cn.md
=====================================================
+++
title = "FORMAT SQL"
weight = 2
+++
### 描述
`FORMAT SQL` 语法用于解析并输出格式化后的 `SQL` 语句。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
FormatSql ::=
'FORMAT' sqlStatement
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 返回值说明
| 列 | 说明 |
|------------------|------------|
| formatted_result | 格式化后的SQL语句 |
### 示例
- 解析并输出格式化后的 `SQL` 语句
```sql
FORMAT SELECT * FROM t_order;
```
```sql
mysql> FORMAT SELECT * FROM t_order;
+-------------------------+
| formatted_result |
+-------------------------+
| SELECT *
FROM t_order; |
+-------------------------+
1 row in set (0.00 sec)
```
### 保留字
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/mask/drop-mask-rule.en.md
=====================================================
+++
title = "DROP MASK RULE"
weight = 3
+++
## Description
The `DROP MASK RULE` syntax is used to drop existing mask rule.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
DropEncryptRule ::=
'DROP' 'MASK' 'RULE' ifExists? ruleName (',' ruleName)*
ifExists ::=
'IF' 'EXISTS'
ruleName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- `ifExists` clause used for avoid `Mask rule not exists` error.
### Example
- Drop mask rule
```sql
DROP MASK RULE t_mask, t_mask_1;
```
- Drop mask rule with `ifExists` clause
```sql
DROP MASK RULE IF EXISTS t_mask, t_mask_1;
```
### Reserved words
`DROP`, `MASK`, `RULE`
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/mask/drop-mask-rule.cn.md
=====================================================
+++
title = "DROP MASK RULE"
weight = 3
+++
## 说明
`DROP MASK RULE` 语法用于删除数据脱敏规则。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
DropEncryptRule ::=
'DROP' 'MASK' 'RULE' ifExists? ruleName (',' ruleName)*
ifExists ::=
'IF' 'EXISTS'
ruleName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- `ifExists` 子句用于避免 `Mask rule not exists` 错误。
### 示例
- 删除数据脱敏规则
```sql
DROP MASK RULE t_mask, t_mask_1;
```
- 使用 `ifExists` 子句删除数据脱敏规则
```sql
DROP MASK RULE IF EXISTS t_mask, t_mask_1;
```
### 保留字
`DROP`, `MASK`, `RULE`
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/mask/alter-mask-rule.en.md
=====================================================
+++
title = "ALTER MASK RULE"
weight = 2
+++
## Description
The `ALTER MASK RULE` syntax is used to create a mask rule.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
AlterEncryptRule ::=
'ALTER' 'MASK' 'RULE' maskRuleDefinition (',' maskRuleDefinition)*
maskRuleDefinition ::=
ruleName '(' 'COLUMNS' '(' columnDefinition (',' columnDefinition)* ')' ')'
columnDefinition ::=
'(' 'NAME' '=' columnName ',' maskAlgorithmDefinition ')'
maskAlgorithmDefinition ::=
'TYPE' '(' 'NAME' '=' algorithmType (',' propertiesDefinition)? ')'
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
ruleName ::=
identifier
columnName ::=
identifier
algorithmType ::=
literal
key ::=
string
value ::=
literal
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/mask/alter-mask-rule.cn.md
=====================================================
+++
title = "ALTER MASK RULE"
weight = 2
+++
## 描述
`ALTER MASK RULE` 语法用于修改数据脱敏规则。
### 语法定义
{{< tabs >}}
{{% tab name="语法" %}}
```sql
CreateEncryptRule ::=
'ALTER' 'MASK' 'RULE' maskRuleDefinition (',' maskRuleDefinition)*
maskRuleDefinition ::=
ruleName '(' 'COLUMNS' '(' columnDefinition (',' columnDefinition)* ')' ')'
columnDefinition ::=
'(' 'NAME' '=' columnName ',' maskAlgorithmDefinition ')'
maskAlgorithmDefinition ::=
'TYPE' '(' 'NAME' '=' algorithmType (',' propertiesDefinition)? ')'
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
ruleName ::=
identifier
columnName ::=
identifier
algorithmType ::=
literal
key ::=
string
value ::=
literal
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/mask/create-mask-rule.en.md
=====================================================
+++
title = "CREATE MASK RULE"
weight = 1
+++
## Description
The `CREATE MASK RULE` syntax is used to create a mask rule.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
CreateEncryptRule ::=
'CREATE' 'MASK' 'RULE' ifNotExists? maskRuleDefinition (',' maskRuleDefinition)*
ifNotExists ::=
'IF' 'NOT' 'EXISTS'
maskRuleDefinition ::=
ruleName '(' 'COLUMNS' '(' columnDefinition (',' columnDefinition)* ')' ')'
columnDefinition ::=
'(' 'NAME' '=' columnName ',' maskAlgorithmDefinition ')'
maskAlgorithmDefinition ::=
'TYPE' '(' 'NAME' '=' algorithmType (',' propertiesDefinition)? ')'
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
ruleName ::=
identifier
columnName ::=
identifier
algorithmType ::=
literal
key ::=
string
value ::=
literal
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/mask/_index.en.md
=====================================================
+++
title = "Mask"
weight = 6
chapter = true
+++
This chapter describes the syntax of mask.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/mask/create-mask-rule.cn.md
=====================================================
+++
title = "CREATE MASK RULE"
weight = 1
+++
## 描述
`CREATE MASK RULE` 语法用于创建数据脱敏规则。
### 语法定义
{{< tabs >}}
{{% tab name="语法" %}}
```sql
CreateEncryptRule ::=
'CREATE' 'MASK' 'RULE' ifNotExists? maskRuleDefinition (',' maskRuleDefinition)*
ifNotExists ::=
'IF' 'NOT' 'EXISTS'
maskRuleDefinition ::=
ruleName '(' 'COLUMNS' '(' columnDefinition (',' columnDefinition)* ')' ')'
columnDefinition ::=
'(' 'NAME' '=' columnName ',' maskAlgorithmDefinition ')'
maskAlgorithmDefinition ::=
'TYPE' '(' 'NAME' '=' algorithmType (',' propertiesDefinition)? ')'
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
ruleName ::=
identifier
columnName ::=
identifier
algorithmType ::=
literal
key ::=
string
value ::=
literal
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/broadcast-table/create-broadcast-table-rule.cn.md
=====================================================
+++
title = "CREATE BROADCAST TABLE RULE"
weight = 1
+++
## 描述
`CREATE BROADCAST TABLE RULE` 语法用于为需要广播的表（广播表）创建广播规则。
### 语法定义
{{< tabs >}}
{{% tab name="语法" %}}
```sql
CreateBroadcastTableRule ::=
'CREATE' 'BROADCAST' 'TABLE' 'RULE' ifNotExists? tableName (',' tableName)*
ifNotExists ::=
'IF' 'NOT' 'EXISTS'
tableName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- `tableName` 可使用已经存在的表或者将要创建的表；
- `ifNotExists` 子句用于避免 `Duplicate Broadcast rule` 错误。
### 示例
#### 创建广播规则
```sql
-- 将 t_province， t_city 添加到广播规则中
CREATE BROADCAST TABLE RULE t_province, t_city;
```
#### 使用 `ifNotExists` 子句创建广播规则
```sql
CREATE BROADCAST TABLE RULE IF NOT EXISTS t_province, t_city;
```
### 保留字
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/broadcast-table/drop-broadcast-table-rule.en.md
=====================================================
+++
title = "DROP BROADCAST TABLE RULE"
weight = 2
+++
## Description
The `DROP BROADCAST TABLE RULE` syntax is used to drop broadcast table rule for specified broadcast tables
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
DropBroadcastTableRule ::=
'DROP' 'BROADCAST' 'TABLE' 'RULE' ifExists? tableName (',' tableName)*
ifExists ::=
'IF' 'EXISTS'
tableName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- `tableName` can use the table of existing broadcast rules;
- `ifExists` clause is used for avoid `Broadcast rule not exists` error.
### Example
- Drop broadcast table rule for specified broadcast table
```sql
DROP BROADCAST TABLE RULE t_province, t_city;
```
- Drop broadcast table rule with `ifExists` clause
```
DROP BROADCAST TABLE RULE IF EXISTS t_province, t_city;
```
### Reserved word
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/broadcast-table/_index.en.md
=====================================================
+++
title = "Broadcast Table"
weight = 2
chapter = true
+++
This chapter describes the syntax of broadcast table.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/broadcast-table/create-broadcast-table-rule.en.md
=====================================================
+++
title = "CREATE BROADCAST TABLE RULE"
weight = 1
+++
## Description
The `CREATE BROADCAST TABLE RULE` syntax is used to create broadcast table rules for tables that need to be
broadcast (broadcast tables)
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
CreateBroadcastTableRule ::=
'CREATE' 'BROADCAST' 'TABLE' 'RULE' ifNotExists? tableName (',' tableName)*
ifNotExists ::=
'IF' 'NOT' 'EXISTS'
tableName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- `tableName` can use an existing table or a table that will be created;
- `ifNotExists` clause is used for avoid `Duplicate Broadcast rule` error.
### Example
#### Create broadcast table rule
```sql
-- Add t_province, t_city to broadcast table rules
CREATE BROADCAST TABLE RULE t_province, t_city;
```
#### Create broadcast table rule with `ifNotExists` clause
```sql
CREATE BROADCAST TABLE RULE IF NOT EXISTS t_province, t_city;
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/sharding/drop-sharding-algorithm.en.md
=====================================================
+++
title = "DROP SHARDING ALGORITHM"
weight = 11
+++
## Description
The `DROP SHARDING ALGORITHM` syntax is used to drop sharding algorithm for specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
DropShardingAlgorithm ::=
'DROP' 'SHARDING' 'ALGORITHM' algorithmName ifExists? ('FROM' databaseName)?
ifExists ::=
'IF' 'EXISTS'
algorithmName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted;
- `ifExists` clause used for avoid `Sharding algorithm not exists` error.
### Example
- Drop sharding algorithm for specified database
```sql
DROP SHARDING ALGORITHM t_order_hash_mod FROM sharding_db;
```
- Drop sharding algorithm for current database
```sql
DROP SHARDING ALGORITHM t_order_hash_mod;
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/sharding/create-sharding-table-reference-rule.cn.md
=====================================================
+++
title = "CREATE SHARDING TABLE REFERENCE RULE"
weight = 12
+++
## 描述
`CREATE SHARDING TABLE REFERENCE RULE` 语法用于为分片表创建关联规则。
### 语法定义
{{< tabs >}}
{{% tab name="语法" %}}
```sql
CreateShardingTableReferenceRule ::=
'CREATE' 'SHARDING' 'TABLE' 'REFERENCE' 'RULE' ifNotExists? referenceRelationshipDefinition (',' referenceRelationshipDefinition)*
ifNotExists ::=
'IF' 'NOT' 'EXISTS'
referenceRelationshipDefinition ::=
ruleName '(' tableName (',' tableName)* ')'
ruleName ::=
identifier
tableName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 只能为分片表创建关联关系；
- 一张分片表只能具有一个关联关系；
- 关联的分片表应分布在相同的存储单元，并且分片个数相同。例如 `ds_${0..1}.t_order_${0..1}` 与 `ds_${0..1}.t_order_item_${0..1}`；
- 关联的分片表应使用一致的分片算法。例如 `t_order_${order_id % 2}` 与 `t_order_item_${order_item_id % 2}`；
- `ifNotExists` 子句用于避免 `Duplicate sharding table reference rule` 错误。
### 示例
#### 1.创建关联关系
```sql
-- 创建关联关系之前需要先创建分片规则 t_order,t_order_item
CREATE SHARDING TABLE REFERENCE RULE ref_0 (t_order,t_order_item);
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/sharding/create-sharding-table-reference-rule.en.md
=====================================================
+++
title = "CREATE SHARDING TABLE REFERENCE RULE"
weight = 12
+++
## Description
The `CREATE SHARDING TABLE REFERENCE RULE` syntax is used to create reference rule for sharding tables
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
CreateShardingTableReferenceRule ::=
'CREATE' 'SHARDING' 'TABLE' 'REFERENCE' 'RULE' ifNotExists? referenceRelationshipDefinition (',' referenceRelationshipDefinition)*
ifNotExists ::=
'IF' 'NOT' 'EXISTS'
referenceRelationshipDefinition ::=
ruleName '(' tableName (',' tableName)* ')'
ruleName ::=
identifier
tableName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- Sharding table reference rule can only be created for sharding tables;
- A sharding table can only be associated with one sharding table reference rule;
- The referenced sharding tables should be sharded in the same storage units and have the same number of sharding nodes. For
example `ds_${0..1}.t_order_${0..1}` and `ds_${0..1}.t_order_item_${0..1}`;
- The referenced sharding tables should use consistent sharding algorithms. For example `t_order_{order_id % 2}` and `t_order_item_{order_item_id % 2}`;
- `ifNotExists` clause used for avoid `Duplicate sharding table reference rule` error.
### Example
#### 1.Create a sharding table reference rule
```sql
-- Before creating a sharding table reference rule, you need to create sharding table rules t_order, t_order_item
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/sharding/alter-sharding-table-reference-rule.en.md
=====================================================
+++
title = "ALTER SHARDING TABLE REFERENCE RULE"
weight = 13
+++
## Description
The `ALTER SHARDING TABLE REFERENCE RULE` syntax is used to alter sharding table reference rule.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
AlterShardingTableReferenceRule ::=
'ALTER' 'SHARDING' 'TABLE' 'REFERENCE' 'RULE' referenceRelationshipDefinition (',' referenceRelationshipDefinition)*
referenceRelationshipDefinition ::=
ruleName '(' tableName (',' tableName)* ')'
ruleName ::=
identifier
tableName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- A sharding table can only be associated with one sharding table reference rule;
- The referenced sharding tables should be sharded in the same storage units and have the same number of sharding nodes. For
example `ds_${0..1}.t_order_${0..1}` and `ds_${0..1}.t_order_item_${0..1}`;
- The referenced sharding tables should use consistent sharding algorithms. For example `t_order_{order_id % 2}` and `t_order_item_{order_item_id % 2}`;
### Example
#### 1. Alter a sharding table reference rule
```sql
ALTER SHARDING TABLE REFERENCE RULE ref_0 (t_order,t_order_item);
```
#### 2. Alter multiple sharding table reference rules
```sql
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/sharding/drop-sharding-table-rule.cn.md
=====================================================
+++
title = "DROP SHARDING TABLE RULE"
weight = 3
+++
## 描述
`DROP SHARDING TABLE RULE` 语法用于删除指定逻辑库的指定分片规则。
### 语法定义
{{< tabs >}}
{{% tab name="语法" %}}
```sql
DropShardingTableRule ::=
'DROP' 'SHARDING' 'TABLE' 'RULE' ifExists? ruleName (',' ruleName)* ('FROM' databaseName)?
ifExists ::=
'IF' 'EXISTS'
ruleName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`；
- `ifExists` 子句用于避免 `Sharding rule not exists` 错误。
### 示例
- 为指定逻辑库删除多个指定分片规则
```sql
DROP SHARDING TABLE RULE t_order, t_order_item FROM sharding_db;
```
- 为当前逻辑库删除单个指定分片规则
```sql
DROP SHARDING TABLE RULE t_order;
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/sharding/drop-sharding-table-rule.en.md
=====================================================
+++
title = "DROP SHARDING TABLE RULE"
weight = 3
+++
## Description
The `DROP SHARDING TABLE RULE` syntax is used to drop sharding table rule for specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
DropShardingTableRule ::=
'DROP' 'SHARDING' 'TABLE' 'RULE' ifExists? ruleName (',' ruleName)* ('FROM' databaseName)?
ifExists ::=
'IF' 'EXISTS'
ruleName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted;
- `ifExists` clause is used to avoid `Sharding rule not exists` error.
### Example
- Drop mutiple sharding table rules for specified database
```sql
DROP SHARDING TABLE RULE t_order, t_order_item FROM sharding_db;
```
- Drop a sharding table rule for current database
```sql
DROP SHARDING TABLE RULE t_order;
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/sharding/create-default-sharding-strategy.en.md
=====================================================
+++
title = "CREATE DEFAULT SHARDING STRATEGY"
weight = 4
+++
## Description
The `CREATE DEFAULT SHARDING STRATEGY` syntax is used to create a default sharding strategy
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
CreateDefaultShardingStrategy ::=
'CREATE' 'DEFAULT' 'SHARDING' ('DATABASE' | 'TABLE') 'STRATEGY' ifNotExists? '(' shardingStrategy ')'
ifNotExists ::=
'IF' 'NOT' 'EXISTS'
shardingStrategy ::=
'TYPE' '=' strategyType ',' ('SHARDING_COLUMN' '=' columnName | 'SHARDING_COLUMNS' '=' columnNames) ',' 'SHARDING_ALGORITHM' '=' algorithmDefinition
strategyType ::=
string
algorithmDefinition ::=
'TYPE' '(' 'NAME' '=' algorithmType ',' propertiesDefinition ')'
columnNames ::=
columnName (',' columnName)+
columnName ::=
identifier
algorithmType ::=
string
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
key ::=
string
value ::=
literal
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/sharding/create-sharding-table-rule.cn.md
=====================================================
+++
title = "CREATE SHARDING TABLE RULE"
weight = 1
+++
## 描述
`CREATE SHARDING TABLE RULE` 语法用于为当前所选逻辑库添加分片规则。
### 语法定义
{{< tabs >}}
{{% tab name="语法" %}}
```sql
CreateShardingTableRule ::=
'CREATE' 'SHARDING' 'TABLE' 'RULE' ifNotExists? (tableRuleDefinition | autoTableRuleDefinition) (',' (tableRuleDefinition | autoTableRuleDefinition))*
ifNotExists ::=
'IF' 'NOT' 'EXISTS'
tableRuleDefinition ::=
ruleName '(' 'DATANODES' '(' dataNode (',' dataNode)* ')' (',' 'DATABASE_STRATEGY' '(' strategyDefinition ')')? (',' 'TABLE_STRATEGY' '(' strategyDefinition ')')? (',' 'KEY_GENERATE_STRATEGY' '(' keyGenerateStrategyDefinition ')')? (',' 'AUDIT_STRATEGY' '(' auditStrategyDefinition ')')? ')'
autoTableRuleDefinition ::=
ruleName '(' 'STORAGE_UNITS' '(' storageUnitName (',' storageUnitName)* ')' ',' 'SHARDING_COLUMN' '=' columnName ',' algorithmDefinition (',' 'KEY_GENERATE_STRATEGY' '(' keyGenerateStrategyDefinition ')')? (',' 'AUDIT_STRATEGY' '(' auditStrategyDefinition ')')? ')'
strategyDefinition ::=
'TYPE' '=' strategyType ',' ('SHARDING_COLUMN' | 'SHARDING_COLUMNS') '=' columnName ',' algorithmDefinition
keyGenerateStrategyDefinition ::=
'KEY_GENERATE_STRATEGY' '(' 'COLUMN' '=' columnName ',' algorithmDefinition ')'
auditStrategyDefinition ::=
'AUDIT_STRATEGY' '(' algorithmDefinition (',' algorithmDefinition)* ')'
algorithmDefinition ::=
'TYPE' '(' 'NAME' '=' algorithmType (',' propertiesDefinition)?')'
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
key ::=
string
value ::=
literal
ruleName ::=
identifier
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/sharding/drop-sharding-table-reference-rule.cn.md
=====================================================
+++
title = "DROP SHARDING TABLE REFERENCE RULE"
weight = 14
+++
## 描述
`DROP SHARDING TABLE REFERENCE RULE` 语法用删除指定的关联规则。
### 语法定义
{{< tabs >}}
{{% tab name="语法" %}}
```sql
DropShardingTableReferenceRule ::=
'DROP' 'SHARDING' 'TABLE' 'REFERENCE' 'RULE' ifExists? ruleName (',' ruleName)*
ifExists ::=
'IF' 'EXISTS'
ruleName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- `ifExists` 子句用于避免 `Sharding reference rule not exists` 错误。
### 示例
- 删除单个关联规则
```sql
DROP SHARDING TABLE REFERENCE RULE ref_0;
```
- 删除多个关联规则
```sql
DROP SHARDING TABLE REFERENCE RULE ref_0, ref_1;
```
- 使用 `ifExists` 子句删除关联规则
```sql
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/sharding/drop-sharding-key-generator.cn.md
=====================================================
+++
title = "DROP SHARDING KEY GENERATOR"
weight = 10
+++
## 描述
`DROP SHARDING KEY GENERATOR` 语法用于删除指定逻辑库的指定分片主键生成器。
### 语法定义
{{< tabs >}}
{{% tab name="语法" %}}
```sql
DropShardingKeyGenerator ::=
'DROP' 'SHARDING' 'KEY' 'GENERATOR' ifExists? keyGeneratorName (keyGeneratorName)* ('FROM' databaseName)?
ifExists ::=
'IF' 'EXISTS'
keyGeneratorName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`；
- `ifExists` 子句用于避免 `Sharding key generator not exists` 错误。
### 示例
- 删除指定逻辑库的指定分片主键生成器
```sql
DROP SHARDING KEY GENERATOR t_order_snowflake FROM sharding_db;
```
- 删除当前逻辑库的指定分片主键生成器
```sql
DROP SHARDING KEY GENERATOR t_order_snowflake;
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/sharding/_index.en.md
=====================================================
+++
title = "Sharding"
weight = 1
chapter = true
+++
This chapter describes the syntax of sharding.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/sharding/alter-default-sharding-strategy.en.md
=====================================================
+++
title = "ALTER DEFAULT SHARDING STRATEGY"
weight = 5
+++
## Description
The `ALTER DEFAULT SHARDING STRATEGY` syntax is used to alter a default sharding strategy
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
AlterDefaultShardingStrategy ::=
'ALTER' 'DEFAULT' 'SHARDING' ('DATABASE' | 'TABLE') 'STRATEGY' '(' shardingStrategy ')'
shardingStrategy ::=
'TYPE' '=' strategyType ',' ('SHARDING_COLUMN' '=' columnName | 'SHARDING_COLUMNS' '=' columnNames) ',' 'SHARDING_ALGORITHM' '=' algorithmDefinition
strategyType ::=
string
algorithmDefinition ::=
'TYPE' '(' 'NAME' '=' algorithmType ',' propertiesDefinition ')'
columnNames ::=
columnName (',' columnName)+
columnName ::=
identifier
algorithmType ::=
string
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
key ::=
string
value ::=
literal
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/sharding/create-sharding-table-rule.en.md
=====================================================
+++
title = "CREATE SHARDING TABLE RULE"
weight = 1
+++
## Description
The `CREATE SHARDING TABLE RULE` syntax is used to add sharding table rule for the currently selected database
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
CreateShardingTableRule ::=
'CREATE' 'SHARDING' 'TABLE' 'RULE' ifNotExists? (tableRuleDefinition | autoTableRuleDefinition) (',' (tableRuleDefinition | autoTableRuleDefinition))*
ifNotExists ::=
'IF' 'NOT' 'EXISTS'
tableRuleDefinition ::=
ruleName '(' 'DATANODES' '(' dataNode (',' dataNode)* ')' (',' 'DATABASE_STRATEGY' '(' strategyDefinition ')')? (',' 'TABLE_STRATEGY' '(' strategyDefinition ')')? (',' 'KEY_GENERATE_STRATEGY' '(' keyGenerateStrategyDefinition ')')? (',' 'AUDIT_STRATEGY' '(' auditStrategyDefinition ')')? ')'
autoTableRuleDefinition ::=
ruleName '(' 'STORAGE_UNITS' '(' storageUnitName (',' storageUnitName)* ')' ',' 'SHARDING_COLUMN' '=' columnName ',' algorithmDefinition (',' 'KEY_GENERATE_STRATEGY' '(' keyGenerateStrategyDefinition ')')? (',' 'AUDIT_STRATEGY' '(' auditStrategyDefinition ')')? ')'
strategyDefinition ::=
'TYPE' '=' strategyType ',' ('SHARDING_COLUMN' | 'SHARDING_COLUMNS') '=' columnName ',' algorithmDefinition
keyGenerateStrategyDefinition ::=
'KEY_GENERATE_STRATEGY' '(' 'COLUMN' '=' columnName ',' algorithmDefinition ')'
auditStrategyDefinition ::=
'AUDIT_STRATEGY' '(' algorithmDefinition (',' algorithmDefinition)* ')'
algorithmDefinition ::=
'TYPE' '(' 'NAME' '=' algorithmType (',' propertiesDefinition)?')'
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
key ::=
string
value ::=
literal
ruleName ::=
identifier
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/sharding/drop-default-sharding-strategy.cn.md
=====================================================
+++
title = "DROP DEFAULT SHARDING STRATEGY"
weight = 6
+++
## 描述
`DROP DEFAULT SHARDING STRATEGY` 语法用于删除指定逻辑库的默认分片策略。
### 语法定义
{{< tabs >}}
{{% tab name="语法" %}}
```sql
DropDefaultShardingStrategy ::=
'DROP' 'DEFAULT' 'SHARDING' ('TABLE' | 'DATABASE') 'STRATEGY' ifExists? ('FROM' databaseName)?
ifExists ::=
'IF' 'EXISTS'
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`；
- `ifExists` 子句用于避免 `Default sharding strategy not exists` 错误。
### 示例
- 为指定逻辑库删除默认表分片策略
```sql
DROP DEFAULT SHARDING TABLE STRATEGY FROM sharding_db;
```
- 为当前逻辑库删除默认库分片策略
```sql
DROP DEFAULT SHARDING DATABASE STRATEGY;
```
- 使用 `ifExists` 子句删除默认表分片策略
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/sharding/alter-sharding-table-reference-rule.cn.md
=====================================================
+++
title = "ALTER SHARDING TABLE REFERENCE RULE"
weight = 13
+++
## 描述
`ALTER SHARDING TABLE REFERENCE RULE` 语法用于修改分片表关联关系。
### 语法定义
{{< tabs >}}
{{% tab name="语法" %}}
```sql
AlterShardingTableReferenceRule ::=
'ALTER' 'SHARDING' 'TABLE' 'REFERENCE' 'RULE' referenceRelationshipDefinition (',' referenceRelationshipDefinition)*
referenceRelationshipDefinition ::=
ruleName '(' tableName (',' tableName)* ')'
ruleName ::=
identifier
tableName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 一张分片表只能具有一个关联关系；
- 关联的分片表应分布在相同的存储单元，并且分片个数相同。例如 `ds_${0..1}.t_order_${0..1}` 与 `ds_${0..1}.t_order_item_${0..1}`；
- 关联的分片表应使用一致的分片算法。例如 `t_order_${order_id % 2}` 与 `t_order_item_${order_item_id % 2}`；
### 示例
#### 1.修改关联关系
```sql
ALTER SHARDING TABLE REFERENCE RULE ref_0 (t_order,t_order_item);
```
#### 2.修改多个关联关系
```sql
ALTER SHARDING TABLE REFERENCE RULE ref_0 (t_order,t_order_item), ref_1 (t_product,t_product_item);
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/sharding/drop-sharding-table-reference-rule.en.md
=====================================================
+++
title = "DROP SHARDING TABLE REFERENCE RULE"
weight = 14
+++
## Description
The `DROP SHARDING TABLE REFERENCE RULE` syntax is used to drop specified sharding table reference rule.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
DropShardingTableReferenceRule ::=
'DROP' 'SHARDING' 'TABLE' 'REFERENCE' 'RULE' ifExists? ruleName (',' ruleName)*
ifExists ::=
'IF' 'EXISTS'
ruleName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- `ifExists` clause is used for avoid `Sharding reference rule not exists` error.
### Example
- Drop a specified sharding table reference rule
```sql
DROP SHARDING TABLE REFERENCE RULE ref_0;
```
- Drop multiple sharding table reference rules
```sql
DROP SHARDING TABLE REFERENCE RULE ref_0, ref_1;
```
- Drop sharding table reference rule with `ifExists` clause
```sql
DROP SHARDING TABLE REFERENCE RULE IF EXISTS ref_0;
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/sharding/drop-sharding-key-generator.en.md
=====================================================
+++
title = "DROP SHARDING KEY GENERATOR"
weight = 10
+++
## Description
The `DROP SHARDING KEY GENERATOR` syntax is used to drop sharding key generator for specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
DropShardingKeyGenerator ::=
'DROP' 'SHARDING' 'KEY' 'GENERATOR' ifExists? keyGeneratorName (keyGeneratorName)* ('FROM' databaseName)?
ifExists ::=
'IF' 'EXISTS'
keyGeneratorName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted;
- `ifExists` clause is used for avoid `Sharding key generator not exists` error.
### Example
- Drop sharding key generator for specified database
```sql
DROP SHARDING KEY GENERATOR t_order_snowflake FROM sharding_db;
```
- Drop sharding key generator for current database
```sql
DROP SHARDING KEY GENERATOR t_order_snowflake;
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/sharding/drop-default-sharding-strategy.en.md
=====================================================
+++
title = "DROP DEFAULT SHARDING STRATEGY"
weight = 6
+++
## Description
The `DROP DEFAULT SHARDING STRATEGY` syntax is used to drop default sharding strategy for specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
DropDefaultShardingStrategy ::=
'DROP' 'DEFAULT' 'SHARDING' ('TABLE' | 'DATABASE') 'STRATEGY' ifExists? ('FROM' databaseName)?
ifExists ::=
'IF' 'EXISTS'
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted;
- `ifExists` clause is used for avoid `Default sharding strategy not exists` error.
### Example
- Drop default sharding table strategy for specified database
```sql
DROP DEFAULT SHARDING TABLE STRATEGY FROM sharding_db;
```
- Drop default sharding database strategy for current database
```sql
DROP DEFAULT SHARDING DATABASE STRATEGY;
```
- Drop default sharding table strategy with `ifExists` clause
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/sharding/alter-sharding-table-rule.en.md
=====================================================
+++
title = "ALTER SHARDING TABLE RULE"
weight = 2
+++
## Description
The `ALTER SHARDING TABLE RULE` syntax is used to alter sharding table rule for the currently selected database
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
AlterShardingTableRule ::=
'ALTER' 'SHARDING' 'TABLE' 'RULE' (tableRuleDefinition | autoTableRuleDefinition) (',' (tableRuleDefinition | autoTableRuleDefinition))*
tableRuleDefinition ::=
ruleName '(' 'DATANODES' '(' dataNode (',' dataNode)* ')' (',' 'DATABASE_STRATEGY' '(' strategyDefinition ')')? (',' 'TABLE_STRATEGY' '(' strategyDefinition ')')? (',' 'KEY_GENERATE_STRATEGY' '(' keyGenerateStrategyDefinition ')')? (',' 'AUDIT_STRATEGY' '(' auditStrategyDefinition ')')? ')'
autoTableRuleDefinition ::=
ruleName '(' 'STORAGE_UNITS' '(' storageUnitName (',' storageUnitName)* ')' ',' 'SHARDING_COLUMN' '=' columnName ',' algorithmDefinition (',' 'KEY_GENERATE_STRATEGY' '(' keyGenerateStrategyDefinition ')')? (',' 'AUDIT_STRATEGY' '(' auditStrategyDefinition ')')? ')'
strategyDefinition ::=
'TYPE' '=' strategyType ',' ('SHARDING_COLUMN' | 'SHARDING_COLUMNS') '=' columnName ',' algorithmDefinition
keyGenerateStrategyDefinition ::=
'KEY_GENERATE_STRATEGY' '(' 'COLUMN' '=' columnName ',' algorithmDefinition ')'
auditStrategyDefinition ::=
'AUDIT_STRATEGY' '(' algorithmDefinition (',' algorithmDefinition)* ')'
algorithmDefinition ::=
'TYPE' '(' 'NAME' '=' algorithmType (',' propertiesDefinition)?')'
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
key ::=
string
value ::=
literal
ruleName ::=
identifier
dataNode ::=
string
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/_index.en.md
=====================================================
+++
title = "Rule Definition"
weight = 2
chapter = true
+++
This chapter describes the syntax of rule definition.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/shadow/create-default-shadow-algorithm.cn.md
=====================================================
+++
title = "CREATE DEFAULT SHADOW ALGORITHM"
weight = 4
+++
## 描述
`CREATE DEFAULT SHADOW ALGORITHM` 语法用于创建影子库默认算法规则。
### 语法定义
{{< tabs >}}
{{% tab name="语法" %}}
```sql
CreateDefaultShadowAlgorithm ::=
'CREATE' 'DEFAULT' 'SHADOW' 'ALGORITHM' ifNotExists? shadowAlgorithm
ifNotExists ::=
'IF' 'NOT' 'EXISTS'
shadowAlgorithm ::=
'TYPE' '(' 'NAME' '=' algorithmType ',' propertiesDefiinition ')'
algorithmType ::=
string
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
key ::=
string
value ::=
literal
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- `algorithmType` 目前支持 `VALUE_MATCH`、`REGEX_MATCH` 和 `SQL_HINT`；
- `ifNotExists` 子句用于避免出现 `Duplicate default shadow algorithm` 错误。
### 示例
- 创建默认影子库压测算法
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/shadow/create-default-shadow-algorithm.en.md
=====================================================
+++
title = "CREATE DEFAULT SHADOW ALGORITHM"
weight = 4
+++
## Description
The `CREATE DEFAULT SHADOW ALGORITHM` syntax is used to create a default shadow algorithm.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
CreateDefaultShadowAlgorithm ::=
'CREATE' 'DEFAULT' 'SHADOW' 'ALGORITHM' ifNotExists? shadowAlgorithm
ifNotExists ::=
'IF' 'NOT' 'EXISTS'
shadowAlgorithm ::=
'TYPE' '(' 'NAME' '=' algorithmType ',' propertiesDefiinition ')'
algorithmType ::=
string
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
key ::=
string
value ::=
literal
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- `algorithmType` currently supports `VALUE_MATCH`, `REGEX_MATCH` and `SQL_HINT`;
- `ifNotExists` clause is used for avoid `Duplicate default shadow algorithm` error.
### Example
- Create default shadow algorithm
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/shadow/drop-default-shadow-algorithm.en.md
=====================================================
+++
title = "DROP DEFAULT SHADOW ALGORITHM"
weight = 6
+++
## Description
The `DROP DEFAULT SHADOW ALGORITHM` syntax is used to drop default shadow algorithm for specified database
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
DropDefaultShadowAlgorithm ::=
'DROP' 'DEFAULT' 'SHADOW' 'ALGORITHM' ifExists? ('FROM' databaseName)?
ifExists ::=
'IF' 'EXISTS'
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When databaseName is not specified, the default is the currently used DATABASE. If DATABASE is not used, No database selected will be prompted;
- `ifExists` clause used for avoid `Default shadow algorithm not exists` error.
### Example
- Drop default shadow algorithm for specified database
```sql
DROP DEFAULT SHADOW ALGORITHM FROM shadow_db;
```
- Drop default shadow algorithm for current database
```sql
DROP DEFAULT SHADOW ALGORITHM;
```
- Drop default shadow algorithm with `ifExists` clause
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/shadow/alter-shadow-rule.cn.md
=====================================================
+++
title = "ALTER SHADOW RULE"
weight = 2
+++
## 描述
`ALTER SHADOW RULE` 语法用于修改影子库压测规则。
### 语法定义
{{< tabs >}}
{{% tab name="语法" %}}
```sql
AlterShadowRule ::=
'ALTER' 'SHADOW' 'RULE' shadowRuleDefinition (',' shadowRuleDefinition)*
shadowRuleDefinition ::=
ruleName '(' storageUnitMapping shadowTableRule (',' shadowTableRule)* ')'
storageUnitMapping ::=
'SOURCE' '=' storageUnitName ',' 'SHADOW' '=' storageUnitName
shadowTableRule ::=
tableName '(' shadowAlgorithm ')'
shadowAlgorithm ::=
'TYPE' '(' 'NAME' '=' shadowAlgorithmType ',' propertiesDefinition ')'
ruleName ::=
identifier
storageUnitName ::=
identifier
tableName ::=
identifier
algorithmName ::=
identifier
shadowAlgorithmType ::=
string
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
key ::=
string
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/shadow/drop-shadow-algorithm.cn.md
=====================================================
+++
title = "DROP SHADOW ALGORITHM"
weight = 7
+++
## 描述
`DROP SHADOW ALGORITHM` 语法用于为指定逻辑库删除影子库压测算法。
### 语法定义
{{< tabs >}}
{{% tab name="语法" %}}
```sql
DropShadowAlgorithm ::=
'DROP' 'SHADOW' 'ALGORITHM' ifExists? algorithmName (',' algorithmName)* ('FROM' databaseName)?
ifExists ::=
'IF' 'EXISTS'
algorithmName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`；
- `ifExists` 子句用于避免 `shadow algorithm not exists` 错误。
### 示例
- 为指定数据库删除多个影子库压测算法
```sql
DROP SHADOW ALGORITHM shadow_rule_t_order_sql_hint_0, shadow_rule_t_order_item_sql_hint_0 FROM shadow_db;
```
- 为当前数据库删除单个影子库压测算法
```sql
DROP SHADOW ALGORITHM shadow_rule_t_order_sql_hint_0;
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/shadow/alter-default-shadow-algorithm.cn.md
=====================================================
+++
title = "ALTER DEFAULT SHADOW ALGORITHM"
weight = 5
+++
## 描述
`ALTER DEFAULT SHADOW ALGORITHM` 语法用于修改影子库默认算法规则。
### 语法定义
{{< tabs >}}
{{% tab name="语法" %}}
```sql
AlterDefaultShadowAlgorithm ::=
'ALTER' 'DEFAULT' 'SHADOW' 'ALGORITHM' shadowAlgorithm
shadowAlgorithm ::=
'TYPE' '(' 'NAME' '=' algorithmType ',' propertiesDefiinition ')'
algorithmType ::=
string
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
key ::=
string
value ::=
literal
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- `algorithmType` 目前支持 `VALUE_MATCH`、`REGEX_MATCH` 和 `SQL_HINT`。
### 示例
- 修改默认影子库压测算法
```sql
ALTER DEFAULT SHADOW ALGORITHM TYPE(NAME="SQL_HINT");
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/shadow/drop-shadow-algorithm.en.md
=====================================================
+++
title = "DROP SHADOW ALGORITHM"
weight = 7
+++
## Description
The `DROP SHADOW ALGORITHM` syntax is used to drop shadow algorithm for specified database
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
DropShadowAlgorithm ::=
'DROP' 'SHADOW' 'ALGORITHM' ifExists? algorithmName (',' algorithmName)* ('FROM' databaseName)?
ifExists ::=
'IF' 'EXISTS'
algorithmName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When databaseName is not specified, the default is the currently used DATABASE. If DATABASE is not used, No database selected will be prompted;
- `ifExists` clause is used for avoid `shadow algorithm not exists` error.
### Example
- Drop mutiple shadow algorithm for specified database
```sql
DROP SHADOW ALGORITHM shadow_rule_t_order_sql_hint_0, shadow_rule_t_order_item_sql_hint_0 FROM shadow_db;
```
- Drop single shadow algorithm for current database
```sql
DROP SHADOW ALGORITHM shadow_rule_t_order_sql_hint_0;
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/shadow/create-shadow-rule.cn.md
=====================================================
+++
title = "CREATE SHADOW RULE"
weight = 1
+++
## 描述
`CREATE SHADOW RULE` 语法用于创建影子库压测规则。
### 语法定义
{{< tabs >}}
{{% tab name="语法" %}}
```sql
CreateShadowRule ::=
'CREATE' 'SHADOW' 'RULE' ifNotExists? shadowRuleDefinition (',' shadowRuleDefinition)*
ifNotExists ::=
'IF' 'NOT' 'EXISTS'
shadowRuleDefinition ::=
ruleName '(' storageUnitMapping shadowTableRule (',' shadowTableRule)* ')'
storageUnitMapping ::=
'SOURCE' '=' storageUnitName ',' 'SHADOW' '=' storageUnitName
shadowTableRule ::=
tableName '(' shadowAlgorithm ')'
shadowAlgorithm ::=
'TYPE' '(' 'NAME' '=' algorithmType ',' propertiesDefinition ')'
ruleName ::=
identifier
storageUnitName ::=
identifier
tableName ::=
identifier
algorithmName ::=
identifier
algorithmType ::=
string
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/shadow/_index.en.md
=====================================================
+++
title = "Shadow"
weight = 7
chapter = true
+++
This chapter describes the syntax of shadow.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/shadow/create-shadow-rule.en.md
=====================================================
+++
title = "CREATE SHADOW RULE"
weight = 1
+++
## Description
The `CREATE SHADOW RULE` syntax is used to create a shadow rule.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
CreateShadowRule ::=
'CREATE' 'SHADOW' 'RULE' ifNotExists? shadowRuleDefinition (',' shadowRuleDefinition)*
ifNotExists ::=
'IF' 'NOT' 'EXISTS'
shadowRuleDefinition ::=
ruleName '(' storageUnitMapping shadowTableRule (',' shadowTableRule)* ')'
storageUnitMapping ::=
'SOURCE' '=' storageUnitName ',' 'SHADOW' '=' storageUnitName
shadowTableRule ::=
tableName '(' shadowAlgorithm ')'
shadowAlgorithm ::=
'TYPE' '(' 'NAME' '=' algorithmType ',' propertiesDefinition ')'
ruleName ::=
identifier
storageUnitName ::=
identifier
tableName ::=
identifier
algorithmName ::=
identifier
algorithmType ::=
string
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/shadow/drop-shadow-rule.en.md
=====================================================
+++
title = "DROP SHADOW RULE"
weight = 3
+++
## Description
The `DROP SHADOW RULE` syntax is used to drop shadow rule for specified database
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
DropShadowRule ::=
'DROP' 'SHADOW' 'RULE' ifExists? ruleName ('FROM' databaseName)?
ifExists ::=
'IF' 'EXISTS'
ruleName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When databaseName is not specified, the default is the currently used DATABASE. If DATABASE is not used, No database selected will be prompted;
- `ifExists` clause is used for avoid `Shadow rule not exists` error.
### Example
- Drop shadow rule for specified database
```sql
DROP SHADOW RULE shadow_rule FROM shadow_db;
```
- Drop shadow rule for current database
```sql
DROP SHADOW RULE shadow_rule;
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/shadow/alter-shadow-rule.en.md
=====================================================
+++
title = "ALTER SHADOW RULE"
weight = 2
+++
## Description
The `ALTER SHADOW RULE` syntax is used to alter shadow rule.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
AlterShadowRule ::=
'ALTER' 'SHADOW' 'RULE' shadowRuleDefinition (',' shadowRuleDefinition)*
shadowRuleDefinition ::=
ruleName '(' storageUnitMapping shadowTableRule (',' shadowTableRule)* ')'
storageUnitMapping ::=
'SOURCE' '=' storageUnitName ',' 'SHADOW' '=' storageUnitName
shadowTableRule ::=
tableName '(' shadowAlgorithm ')'
shadowAlgorithm ::=
'TYPE' '(' 'NAME' '=' shadowAlgorithmType ',' propertiesDefinition ')'
ruleName ::=
identifier
storageUnitName ::=
identifier
tableName ::=
identifier
algorithmName ::=
identifier
shadowAlgorithmType ::=
string
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
key ::=
string
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/shadow/drop-default-shadow-algorithm.cn.md
=====================================================
+++
title = "DROP DEFAULT SHADOW ALGORITHM"
weight = 6
+++
## 描述
`DROP DEFAULT SHADOW ALGORITHM` 语法用于为指定逻辑库删除默认影子库压测算法。
### 语法定义
{{< tabs >}}
{{% tab name="语法" %}}
```sql
DropDefaultShadowAlgorithm ::=
'DROP' 'DEFAULT' 'SHADOW' 'ALGORITHM' ifExists? ('FROM' databaseName)?
ifExists ::=
'IF' 'EXISTS'
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`；
- `ifExists` 子句用于避免 `Default shadow algorithm not exists` 错误。
### 示例
- 为指定数据库删除默认影子库压测算法
```sql
DROP DEFAULT SHADOW ALGORITHM FROM shadow_db;
```
- 为当前数据库删除默认影子库压测算法
```sql
DROP DEFAULT SHADOW ALGORITHM;
```
- 使用 `ifExists` 子句删除默认影子库压测算法
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/shadow/drop-shadow-rule.cn.md
=====================================================
+++
title = "DROP SHADOW RULE"
weight = 3
+++
## 描述
`DROP SHADOW RULE` 语法用于为指定逻辑库删除影子库压测规则。
### 语法定义
{{< tabs >}}
{{% tab name="语法" %}}
```sql
DropShadowRule ::=
'DROP' 'SHADOW' 'RULE' ifExists? ruleName ('FROM' databaseName)?
ifExists ::=
'IF' 'EXISTS'
ruleName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`；
- `ifExists` 子句用于避免 `Shadow rule not exists` 错误。
### 示例
- 为指定数据库删除影子库压测规则
```sql
DROP SHADOW RULE shadow_rule FROM shadow_db;
```
- 为当前数据库删除影子库压测规则
```sql
DROP SHADOW RULE shadow_rule;
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/shadow/alter-default-shadow-algorithm.en.md
=====================================================
+++
title = "ALTER DEFAULT SHADOW ALGORITHM"
weight = 5
+++
## Description
The `ALTER DEFAULT SHADOW ALGORITHM` syntax is used to alter a default shadow algorithm.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
AlterDefaultShadowAlgorithm ::=
'ALTER' 'DEFAULT' 'SHADOW' 'ALGORITHM' shadowAlgorithm
shadowAlgorithm ::=
'TYPE' '(' 'NAME' '=' algorithmType ',' propertiesDefiinition ')'
algorithmType ::=
string
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
key ::=
string
value ::=
literal
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- `algorithmType` currently supports `VALUE_MATCH`, `REGEX_MATCH` and `SQL_HINT`.
### Example
- Alter default shadow algorithm
```sql
ALTER DEFAULT SHADOW ALGORITHM TYPE(NAME="SQL_HINT");
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/readwrite-splitting/drop-readwrite-splitting-rule.cn.md
=====================================================
+++
title = "DROP READWRITE_SPLITTING RULE"
weight = 3
+++
## 描述
`DROP READWRITE_SPLITTING RULE` 语法用于为指定逻辑库删除读写分离。
### 语法定义
{{< tabs >}}
{{% tab name="语法" %}}
```sql
DropReadwriteSplittingRule ::=
'DROP' 'READWRITE_SPLITTING' 'RULE' ifExists? ruleName (',' ruleName)* ('FROM' databaseName)?
ifExists ::=
'IF' 'EXISTS'
ruleName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`；
- `ifExists` 子句用于避免 `Readwrite-splitting rule not exists` 错误。
### 示例
- 为指定逻辑库删除读写分离规则
```sql
DROP READWRITE_SPLITTING RULE ms_group_1 FROM readwrite_splitting_db;
```
- 为当前逻辑库删除读写分离规则
```sql
DROP READWRITE_SPLITTING RULE ms_group_1;
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/readwrite-splitting/alter-readwrite-splitting-rule.en.md
=====================================================
+++
title = "ALTER READWRITE_SPLITTING RULE"
weight = 2
+++
## Description
The `ALTER READWRITE_SPLITTING RULE` syntax is used to alter a readwrite-splitting rule.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
AlterReadwriteSplittingRule ::=
'ALTER' 'READWRITE_SPLITTING' 'RULE' readwriteSplittingDefinition (',' readwriteSplittingDefinition)*
readwriteSplittingDefinition ::=
ruleName '(' dataSourceDefinition (',' transactionalReadQueryStrategyDefinition)? (',' loadBalancerDefinition)? ')'
dataSourceDefinition ::=
'WRITE_STORAGE_UNIT' '=' writeStorageUnitName ',' 'READ_STORAGE_UNITS' '(' storageUnitName (',' storageUnitName)* ')'
transactionalReadQueryStrategyDefinition ::=
'TRANSACTIONAL_READ_QUERY_STRATEGY' '=' transactionalReadQueryStrategyType
loadBalancerDefinition ::=
'TYPE' '(' 'NAME' '=' algorithmType (',' propertiesDefinition)? ')'
ruleName ::=
identifier
writeStorageUnitName ::=
identifier
storageUnitName ::=
identifier
transactionalReadQueryStrategyType ::=
string
algorithmType ::=
string
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
key ::=
string
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/readwrite-splitting/alter-readwrite-splitting-rule.cn.md
=====================================================
+++
title = "ALTER READWRITE_SPLITTING RULE"
weight = 2
+++
## 描述
`ALTER READWRITE_SPLITTING RULE` 语法用于修改读写分离规则。
### 语法定义
{{< tabs >}}
{{% tab name="语法" %}}
```sql
AlterReadwriteSplittingRule ::=
'ALTER' 'READWRITE_SPLITTING' 'RULE' readwriteSplittingDefinition (',' readwriteSplittingDefinition)*
readwriteSplittingDefinition ::=
ruleName '(' dataSourceDefinition (',' transactionalReadQueryStrategyDefinition)? (',' loadBalancerDefinition)? ')'
dataSourceDefinition ::=
'WRITE_STORAGE_UNIT' '=' writeStorageUnitName ',' 'READ_STORAGE_UNITS' '(' storageUnitName (',' storageUnitName)* ')'
transactionalReadQueryStrategyDefinition ::=
'TRANSACTIONAL_READ_QUERY_STRATEGY' '=' transactionalReadQueryStrategyType
loadBalancerDefinition ::=
'TYPE' '(' 'NAME' '=' algorithmType (',' propertiesDefinition)? ')'
ruleName ::=
identifier
writeStorageUnitName ::=
identifier
storageUnitName ::=
identifier
transactionalReadQueryStrategyType ::=
string
algorithmType ::=
string
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
key ::=
string
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/readwrite-splitting/_index.en.md
=====================================================
+++
title = "Readwrite-Splitting"
weight = 4
chapter = true
+++
This chapter describes the syntax of readwrite-splitting.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/readwrite-splitting/create-readwrite-splitting-rule.en.md
=====================================================
+++
title = "CREATE READWRITE_SPLITTING RULE"
weight = 1
+++
## Description
The `CREATE READWRITE_SPLITTING RULE` syntax is used to create a read/write splitting rule.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
CreateReadwriteSplittingRule ::=
'CREATE' 'READWRITE_SPLITTING' 'RULE' ifNotExists? readwriteSplittingDefinition (',' readwriteSplittingDefinition)*
ifNotExists ::=
'IF' 'NOT' 'EXISTS'
readwriteSplittingDefinition ::=
ruleName '(' dataSourceDefinition (',' transactionalReadQueryStrategyDefinition)? (',' loadBalancerDefinition)? ')'
dataSourceDefinition ::=
'WRITE_STORAGE_UNIT' '=' writeStorageUnitName ',' 'READ_STORAGE_UNITS' '(' storageUnitName (',' storageUnitName)* ')'
transactionalReadQueryStrategyDefinition ::=
'TRANSACTIONAL_READ_QUERY_STRATEGY' '=' transactionalReadQueryStrategyType
loadBalancerDefinition ::=
'TYPE' '(' 'NAME' '=' algorithmType (',' propertiesDefinition)? ')'
ruleName ::=
identifier
writeStorageUnitName ::=
identifier
storageUnitName ::=
identifier
transactionalReadQueryStrategyType ::=
string
algorithmType ::=
string
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/readwrite-splitting/drop-readwrite-splitting-rule.en.md
=====================================================
+++
title = "DROP READWRITE_SPLITTING RULE"
weight = 3
+++
## Description
The `DROP READWRITE_SPLITTING RULE` syntax is used to drop readwrite-splitting rule for specified database
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
DropReadwriteSplittingRule ::=
'DROP' 'READWRITE_SPLITTING' 'RULE' ifExists? ruleName (',' ruleName)* ('FROM' databaseName)?
ifExists ::=
'IF' 'EXISTS'
ruleName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted;
- `ifExists` clause is used for avoid `Readwrite-splitting rule not exists` error.
### Example
- Drop readwrite-splitting rule for specified database
```sql
DROP READWRITE_SPLITTING RULE ms_group_1 FROM readwrite_splitting_db;
```
- Drop readwrite-splitting rule for current database
```sql
DROP READWRITE_SPLITTING RULE ms_group_1;
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/single-table/set-default-single-table-storage-unit.cn.md
=====================================================
+++
title = "SET DEFAULT SINGLE TABLE STORAGE UNIT"
weight = 3
+++
## 描述
`SET DEFAULT SINGLE TABLE STORAGE UNIT` 语法用于设置默认的单表存储单元。
### 语法定义
{{< tabs >}}
{{% tab name="语法" %}}
```sql
SetDefaultSingleTableStorageUnit ::=
'SET' 'DEFAULT' 'SINGLE' 'TABLE' 'STORAGE' 'UNIT' singleTableDefinition
singleTableDefinition ::=
'=' (storageUnitName | 'RANDOM')
storageUnitName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- `STORAGE UNIT` 需使用 RDL 管理的存储单元。 `RANDOM` 代表随机储存
### 示例
- 设置默认的单表存储单元
```sql
SET DEFAULT SINGLE TABLE STORAGE UNIT = ds_0;
```
- 设置默认的单表存储单元为随机储存
```sql
SET DEFAULT SINGLE TABLE STORAGE UNIT = RANDOM;
```
### 保留字
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/single-table/set-default-single-table-storage-unit.en.md
=====================================================
+++
title = "SET DEFAULT SINGLE TABLE STORAGE UNIT"
weight = 3
+++
## Description
The `SET DEFAULT SINGLE TABLE STORAGE UNIT` syntax is used to set default single table storage unit.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
SetDefaultSingleTableStorageUnit ::=
'SET' 'DEFAULT' 'SINGLE' 'TABLE' 'STORAGE' 'UNIT' singleTableDefinition
singleTableDefinition ::=
'=' (storageUnitName | 'RANDOM')
storageUnitName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- `STORAGE UNIT` needs to use storage unit managed by RDL. The `RANDOM` keyword stands for random storage.
### Example
- Set a default single table storage unit
```sql
SET DEFAULT SINGLE TABLE STORAGE UNIT = ds_0;
```
- Set the default single table storage unit to random storage
```sql
SET DEFAULT SINGLE TABLE STORAGE UNIT = RANDOM;
```
### Reserved word
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/single-table/load-single-table.en.md
=====================================================
+++
title = "LOAD SINGLE TABLE"
weight = 1
+++
## Description
The `LOAD SINGLE TABLE` syntax is used to load single table from storage unit.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
loadSingleTable ::=
'LOAD' 'SINGLE' 'TABLE' tableDefinition
tableDefinition ::=
tableIdentifier (',' tableIdentifier)*
tableIdentifier ::=
'*.*' | '*.*.*' | storageUnitName '.*' | storageUnitName '.*.*' | storageUnitName '.' schemaName '.*' | storageUnitName '.' tableName | storageUnitName '.' schemaName '.' tableName
storageUnitName ::=
identifier
schemaName ::=
identifier
tableName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- support specifying schemaName in PostgreSQL and OpenGauss protocols
### Example
- Load specified single table
```sql
LOAD SINGLE TABLE ds_0.t_single;
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/single-table/unload-single-table.en.md
=====================================================
+++
title = "UNLOAD SINGLE TABLE"
weight = 2
+++
## Description
The `UNLOAD SINGLE TABLE` syntax is used to unload single table.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
unloadSingleTable ::=
'UNLOAD' 'SINGLE' 'TABLE' tableNames
tableNames ::=
tableName (',' tableName)*
tableName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- Unlike loading, only the table name needs to be specified when unloading a single table
### Example
- Unload specified single table
```sql
UNLOAD SINGLE TABLE t_single;
```
- Load all single tables
```sql
UNLOAD SINGLE TABLE *;
-- or
UNLOAD ALL SINGLE TABLES;
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/single-table/_index.en.md
=====================================================
+++
title = "Single Table"
weight = 3
chapter = true
+++
This chapter describes the syntax of single table.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/single-table/load-single-table.cn.md
=====================================================
+++
title = "LOAD SINGLE TABLE"
weight = 1
+++
## 描述
`LOAD SINGLE TABLE` 用于加载单表。
### 语法定义
{{< tabs >}}
{{% tab name="语法" %}}
```sql
loadSingleTable ::=
'LOAD' 'SINGLE' 'TABLE' tableDefinition
tableDefinition ::=
tableIdentifier (',' tableIdentifier)*
tableIdentifier ::=
'*.*' | '*.*.*' | storageUnitName '.*' | storageUnitName '.*.*' | storageUnitName '.' schemaName '.*' | storageUnitName '.' tableName | storageUnitName '.' schemaName '.' tableName
storageUnitName ::=
identifier
schemaName ::=
identifier
tableName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- PostgreSQL 和 OpenGauss 协议下支持指定 schemaName
### 示例
- 加载指定单表
```sql
LOAD SINGLE TABLE ds_0.t_single;
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/single-table/unload-single-table.cn.md
=====================================================
+++
title = "UNLOAD SINGLE TABLE"
weight = 2
+++
## 描述
`UNLOAD SINGLE TABLE` 用于卸载单表。
### 语法定义
{{< tabs >}}
{{% tab name="语法" %}}
```sql
unloadSingleTable ::=
'UNLOAD' 'SINGLE' 'TABLE' tableNames
tableNames ::=
tableName (',' tableName)*
tableName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 与加载不同，卸载单表时仅需指定表名
### 示例
- 卸载指定单表
```sql
UNLOAD SINGLE TABLE t_single;
```
- 卸载全部单表
```sql
UNLOAD SINGLE TABLE *;
-- 或
UNLOAD ALL SINGLE TABLES;
```
### 保留字
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/encrypt/drop-encrypt-rule.en.md
=====================================================
+++
title = "DROP ENCRYPT RULE"
weight = 3
+++
## Description
The `DROP ENCRYPT RULE` syntax is used to drop an existing encryption rule.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
DropEncryptRule ::=
'DROP' 'ENCRYPT' 'RULE' ifExists? ruleName (',' ruleName)*
ifExists ::=
'IF' 'EXISTS'
ruleName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- `ifExists` clause is used for avoid `Encrypt rule not exists` error.
### Example
- Drop an encrypt rule
```sql
DROP ENCRYPT RULE t_encrypt, t_encrypt_2;
```
- Drop encrypt with `ifExists` clause
```sql
DROP ENCRYPT RULE IF EXISTS t_encrypt, t_encrypt_2;
```
### Reserved words
`DROP`, `ENCRYPT`, `RULE`
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/encrypt/create-encrypt-rule.cn.md
=====================================================
+++
title = "CREATE ENCRYPT RULE"
weight = 1
+++
## 描述
`CREATE ENCRYPT RULE` 语法用于创建数据加密规则。
### 语法定义
{{< tabs >}}
{{% tab name="语法" %}}
```sql
CreateEncryptRule ::=
'CREATE' 'ENCRYPT' 'RULE' ifNotExists? encryptDefinition (',' encryptDefinition)*
ifNotExists ::=
'IF' 'NOT' 'EXISTS'
encryptDefinition ::=
ruleName '(' 'COLUMNS' '(' columnDefinition (',' columnDefinition)* ')' ')'
columnDefinition ::=
'(' 'NAME' '=' columnName ',' 'CIPHER' '=' cipherColumnName (',' 'ASSISTED_QUERY' '=' assistedQueryColumnName)? (',' 'LIKE_QUERY' '=' likeQueryColumnName)? ',' encryptAlgorithmDefinition (',' assistedQueryAlgorithmDefinition)? (',' likeQueryAlgorithmDefinition)? ')'
encryptAlgorithmDefinition ::=
'ENCRYPT_ALGORITHM' '(' 'TYPE' '(' 'NAME' '=' algorithmType (',' propertiesDefinition)? ')'
assistedQueryAlgorithmDefinition ::=
'ASSISTED_QUERY_ALGORITHM' '(' 'TYPE' '(' 'NAME' '=' algorithmType (',' propertiesDefinition)? ')'
likeQueryAlgorithmDefinition ::=
'LIKE_QUERY_ALGORITHM' '(' 'TYPE' '(' 'NAME' '=' algorithmType (',' propertiesDefinition)? ')'
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
ruleName ::=
identifier
columnName ::=
identifier
cipherColumnName ::=
identifier
assistedQueryColumnName ::=
identifier
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/encrypt/alter-encrypt-rule.cn.md
=====================================================
+++
title = "ALTER ENCRYPT RULE"
weight = 2
+++
## 说明
`ALTER ENCRYPT RULE` 语法用于修改加密规则。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
AlterEncryptRule ::=
'ALTER' 'ENCRYPT' 'RULE' encryptDefinition (',' encryptDefinition)*
encryptDefinition ::=
ruleName '(' 'COLUMNS' '(' columnDefinition (',' columnDefinition)* ')' ')'
columnDefinition ::=
'(' 'NAME' '=' columnName ',' 'CIPHER' '=' cipherColumnName (',' 'ASSISTED_QUERY' '=' assistedQueryColumnName)? (',' 'LIKE_QUERY' '=' likeQueryColumnName)? ',' encryptAlgorithmDefinition (',' assistedQueryAlgorithmDefinition)? (',' likeQueryAlgorithmDefinition)? ')'
encryptAlgorithmDefinition ::=
'ENCRYPT_ALGORITHM' '(' 'TYPE' '(' 'NAME' '=' algorithmType (',' propertiesDefinition)? ')'
assistedQueryAlgorithmDefinition ::=
'ASSISTED_QUERY_ALGORITHM' '(' 'TYPE' '(' 'NAME' '=' algorithmType (',' propertiesDefinition)? ')'
likeQueryAlgorithmDefinition ::=
'LIKE_QUERY_ALGORITHM' '(' 'TYPE' '(' 'NAME' '=' algorithmType (',' propertiesDefinition)? ')'
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
ruleName ::=
identifier
columnName ::=
identifier
cipherColumnName ::=
identifier
assistedQueryColumnName ::=
identifier
likeQueryColumnName ::=
identifier
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/encrypt/create-encrypt-rule.en.md
=====================================================
+++
title = "CREATE ENCRYPT RULE"
weight = 1
+++
## Description
The `CREATE ENCRYPT RULE` syntax is used to create encrypt rules.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
CreateEncryptRule ::=
'CREATE' 'ENCRYPT' 'RULE' ifNotExists? encryptDefinition (',' encryptDefinition)*
ifNotExists ::=
'IF' 'NOT' 'EXISTS'
encryptDefinition ::=
ruleName '(' 'COLUMNS' '(' columnDefinition (',' columnDefinition)* ')' ')'
columnDefinition ::=
'(' 'NAME' '=' columnName ',' 'CIPHER' '=' cipherColumnName (',' 'ASSISTED_QUERY' '=' assistedQueryColumnName)? (',' 'LIKE_QUERY' '=' likeQueryColumnName)? ',' encryptAlgorithmDefinition (',' assistedQueryAlgorithmDefinition)? (',' likeQueryAlgorithmDefinition)? ')'
encryptAlgorithmDefinition ::=
'ENCRYPT_ALGORITHM' '(' 'TYPE' '(' 'NAME' '=' algorithmType (',' propertiesDefinition)? ')'
assistedQueryAlgorithmDefinition ::=
'ASSISTED_QUERY_ALGORITHM' '(' 'TYPE' '(' 'NAME' '=' algorithmType (',' propertiesDefinition)? ')'
likeQueryAlgorithmDefinition ::=
'LIKE_QUERY_ALGORITHM' '(' 'TYPE' '(' 'NAME' '=' algorithmType (',' propertiesDefinition)? ')'
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
ruleName ::=
identifier
columnName ::=
identifier
cipherColumnName ::=
identifier
assistedQueryColumnName ::=
identifier
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/encrypt/drop-encrypt-rule.cn.md
=====================================================
+++
title = "DROP ENCRYPT RULE"
weight = 3
+++
## 说明
`DROP ENCRYPT RULE` 语法用于删除加密规则。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
DropEncryptRule ::=
'DROP' 'ENCRYPT' 'RULE' ifExists? ruleName (',' ruleName)*
ifExists ::=
'IF' 'EXISTS'
ruleName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- `ifExists` 子句用于避免 `Encrypt rule not exists` 错误。
### 示例
- 删除加密规则
```sql
DROP ENCRYPT RULE t_encrypt, t_encrypt_2;
```
- 使用 `ifExists` 删除加密规则
```sql
DROP ENCRYPT RULE IF EXISTS t_encrypt, t_encrypt_2;
```
### 保留字
`DROP`, `ENCRYPT`, `RULE`
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/encrypt/alter-encrypt-rule.en.md
=====================================================
+++
title = "ALTER ENCRYPT RULE"
weight = 2
+++
## Description
The `ALTER ENCRYPT RULE` syntax is used to alter encryption rules.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
AlterEncryptRule ::=
'ALTER' 'ENCRYPT' 'RULE' encryptDefinition (',' encryptDefinition)*
encryptDefinition ::=
ruleName '(' 'COLUMNS' '(' columnDefinition (',' columnDefinition)* ')' ')'
columnDefinition ::=
'(' 'NAME' '=' columnName ',' 'CIPHER' '=' cipherColumnName (',' 'ASSISTED_QUERY' '=' assistedQueryColumnName)? (',' 'LIKE_QUERY' '=' likeQueryColumnName)? ',' encryptAlgorithmDefinition (',' assistedQueryAlgorithmDefinition)? (',' likeQueryAlgorithmDefinition)? ')'
encryptAlgorithmDefinition ::=
'ENCRYPT_ALGORITHM' '(' 'TYPE' '(' 'NAME' '=' algorithmType (',' propertiesDefinition)? ')'
assistedQueryAlgorithmDefinition ::=
'ASSISTED_QUERY_ALGORITHM' '(' 'TYPE' '(' 'NAME' '=' algorithmType (',' propertiesDefinition)? ')'
likeQueryAlgorithmDefinition ::=
'LIKE_QUERY_ALGORITHM' '(' 'TYPE' '(' 'NAME' '=' algorithmType (',' propertiesDefinition)? ')'
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
ruleName ::=
identifier
columnName ::=
identifier
cipherColumnName ::=
identifier
assistedQueryColumnName ::=
identifier
likeQueryColumnName ::=
identifier
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/rule-definition/encrypt/_index.en.md
=====================================================
+++
title = "Encrypt"
weight = 5
chapter = true
+++
This chapter describes the syntax of encrypt.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/_index.cn.md
=====================================================
+++
title = "RDL 语法"
weight = 1
chapter = true
+++
RDL (Resource & Rule Definition Language) 为 Apache ShardingSphere 的资源和规则定义语言。
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/_index.en.md
=====================================================
+++
title = "RDL Syntax"
weight = 1
chapter = true
+++
RDL (Resource & Rule Definition Language) responsible for definition of resources/rules.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/storage-unit-definition/register-storage-unit.en.md
=====================================================
+++
title = "REGISTER STORAGE UNIT"
weight = 1
+++
### Description
The `REGISTER STORAGE UNIT` syntax is used to register storage unit for the currently selected logical database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
RegisterStorageUnit ::=
'REGISTER' 'STORAGE' 'UNIT' ifNotExists? storageUnitDefinition (',' storageUnitDefinition)*
storageUnitDefinition ::=
storageUnitName '(' ('HOST' '=' hostName ',' 'PORT' '=' port ',' 'DB' '=' dbName | 'URL' '=' url) ',' 'USER' '=' user (',' 'PASSWORD' '=' password)? (',' propertiesDefinition)?')'
ifNotExists ::=
'IF' 'NOT' 'EXISTS'
storageUnitName ::=
identifier
hostname ::=
string
port ::=
int
dbName ::=
string
url ::=
string
user ::=
string
password ::=
string
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
key ::=
string
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/storage-unit-definition/_index.en.md
=====================================================
+++
title = "Storage Unit Definition"
weight = 1
chapter = true
+++
This chapter describes the syntax of storage unit.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/storage-unit-definition/alter-storage-unit.en.md
=====================================================
+++
title = "ALTER STORAGE UNIT"
weight = 2
+++
### Description
The `ALTER STORAGE UNIT` syntax is used to alter storage units for the currently selected logical database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
AlterStorageUnit ::=
'ALTER' 'STORAGE' 'UNIT' storageUnitDefinition (',' storageUnitDefinition)*
storageUnitDefinition ::=
storageUnitName '(' ('HOST' '=' hostName ',' 'PORT' '=' port ',' 'DB' '=' dbName | 'URL' '=' url) ',' 'USER' '=' user (',' 'PASSWORD' '=' password)? (',' propertiesDefinition)?')'
storageUnitName ::=
identifier
hostname ::=
string
port ::=
int
dbName ::=
string
url ::=
string
user ::=
string
password ::=
string
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
key ::=
string
value ::=
literal
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/storage-unit-definition/register-storage-unit.cn.md
=====================================================
+++
title = "REGISTER STORAGE UNIT"
weight = 1
+++
### 描述
`REGISTER STORAGE UNIT` 语法用于为当前所选逻辑库（DATABASE）注册存储单元。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
RegisterStorageUnit ::=
'REGISTER' 'STORAGE' 'UNIT' ifNotExists? storageUnitDefinition (',' storageUnitDefinition)*
storageUnitDefinition ::=
storageUnitName '(' ('HOST' '=' hostName ',' 'PORT' '=' port ',' 'DB' '=' dbName | 'URL' '=' url) ',' 'USER' '=' user (',' 'PASSWORD' '=' password)? (',' propertiesDefinition)?')'
ifNotExists ::=
'IF' 'NOT' 'EXISTS'
storageUnitName ::=
identifier
hostname ::=
string
port ::=
int
dbName ::=
string
url ::=
string
user ::=
string
password ::=
string
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
key ::=
string
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/storage-unit-definition/alter-storage-unit.cn.md
=====================================================
+++
title = "ALTER STORAGE UNIT"
weight = 2
+++
### 描述
`ALTER STORAGE UNIT` 语法用于修改当前所选逻辑库（DATABASE）的存储单元。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
AlterStorageUnit ::=
'ALTER' 'STORAGE' 'UNIT' storageUnitDefinition (',' storageUnitDefinition)*
storageUnitDefinition ::=
storageUnitName '(' ('HOST' '=' hostName ',' 'PORT' '=' port ',' 'DB' '=' dbName | 'URL' '=' url) ',' 'USER' '=' user (',' 'PASSWORD' '=' password)? (',' propertiesDefinition)?')'
storageUnitName ::=
identifier
hostname ::=
string
port ::=
int
dbName ::=
string
url ::=
string
user ::=
string
password ::=
string
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
key ::=
string
value ::=
literal
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/storage-unit-definition/unregister-storage-unit.en.md
=====================================================
+++
title = "UNREGISTER STORAGE UNIT"
weight = 3
+++
### Description
The `UNREGISTER STORAGE UNIT` syntax is used to unregister storage unit from the current database
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
UnregisterStorageUnit ::=
'UNREGISTER' 'STORAGE' 'UNIT' ifExists? storageUnitName (',' storageUnitName)* (ignoreSingleTables | ignoreBroadcastTables | ignoreSingleAndBroadcastTables)?
ignoreSingleTables ::=
'IGNORE' 'SINGLE' 'TABLES'
ignoreBroadcastTables ::=
'IGNORE' 'BROADCAST' 'TABLES'
ignoreSingleAndBroadcastTables ::=
'IGNORE' ('SINGLE' ',' 'BROADCAST' | 'BROADCAST' ',' 'SINGLE') 'TABLES'
ifExists ::=
'IF' 'EXISTS'
storageUnitName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- `UNREGISTER STORAGE UNIT` will only unregister storage unit in Proxy, the real data source corresponding to the storage unit will not be
unregistered;
- Unable to unregister storage unit already used by rules. `Storage unit are still in used.` will be prompted when removing
storage units used by rules;
- The storage unit need to be removed only contains `SINGLE RULE`, `BROADCAST RULE` and when the user confirms that this restriction
can be ignored, the `IGNORE SINGLE TABLES`, `IGNORE BROADCAST TABLES`, `IGNORE SINGLE, BROADCAST TABLES` keyword can be added to remove the storage unit;
- `ifExists` clause is used for avoid `Storage unit not exists` error.
### Example
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/rdl/storage-unit-definition/unregister-storage-unit.cn.md
=====================================================
+++
title = "UNREGISTER STORAGE UNIT"
weight = 3
+++
### 描述
`UNREGISTER STORAGE UNIT` 语法用于从当前逻辑库中移除存储单元。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
UnregisterStorageUnit ::=
'UNREGISTER' 'STORAGE' 'UNIT' ifExists? storageUnitName (',' storageUnitName)* (ignoreSingleTables | ignoreBroadcastTables | ignoreSingleAndBroadcastTables)?
ignoreSingleTables ::=
'IGNORE' 'SINGLE' 'TABLES'
ignoreBroadcastTables ::=
'IGNORE' 'BROADCAST' 'TABLES'
ignoreSingleAndBroadcastTables ::=
'IGNORE' ('SINGLE' ',' 'BROADCAST' | 'BROADCAST' ',' 'SINGLE') 'TABLES'
ifExists ::=
'IF' 'EXISTS'
storageUnitName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- `UNREGISTER STORAGE UNIT` 只会移除 Proxy 中的存储单元，不会删除与存储单元对应的真实数据源；
- 无法移除已经被规则使用的存储单元。移除被规则使用的存储单元时会提示 `Storage unit are still in used`；
- 将要移除的存储单元中仅包含 `SINGLE RULE`、`BROADCAST RULE`，且用户确认可以忽略该限制时，可添加 `IGNORE SINGLE TABLES` 、 `IGNORE BROADCAST TABLES` 、 `IGNORE SINGLE, BROADCAST TABLES` 关键字移除存储单元；
- `ifExists` 子句用于避免 `Storage unit not exists` 错误。
### 示例
- 移除存储单元
```sql
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/show-table-metadata.cn.md
=====================================================
+++
title = "SHOW TABLE METADATA"
weight = 11
+++
### 描述
`SHOW TABLE METADATA` 语法用于查询表的元数据。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowTableMetadata ::=
'SHOW' 'TABLE' 'METADATA' tableName (',' tableName)* ('FROM' databaseName)?
tableName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 返回值说明
| 列 | 说明 |
|-------------|-------|
| schema_name | 逻辑库名称 |
| table_name | 表名称 |
| type | 元数据类型 |
| name | 元数据名称 |
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE。` 如果也未使用 `DATABASE` 则会提示 `No database selected`。
### 示例
- 查询指定逻辑库中多个表的元数据
```sql
SHOW TABLE METADATA t_order, t_order_1 FROM sharding_db;
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/show-table-metadata.en.md
=====================================================
+++
title = "SHOW TABLE METADATA"
weight = 11
+++
### Description
The `SHOW TABLE METADATA` syntax is used to query tabe metadata.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowTableMetadata ::=
'SHOW' 'TABLE' 'METADATA' tableName (',' tableName)* ('FROM' databaseName)?
tableName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Return Value Description
| Columns | Description |
|-------------|---------------|
| schema_name | database name |
| table_name | table name |
| type | metadata type |
| name | metadata name |
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted.
### Example
- Query matadata of multiple tables from specified database
```sql
SHOW TABLE METADATA t_order, t_order_1 FROM sharding_db;
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/plugin/show-sharding-algorithm-plugins.en.md
=====================================================
+++
title = "SHOW SHARDING ALGORITHM PLUGINS"
weight = 2
+++
### Description
The `SHOW SHARDING ALGORITHM PLUGINS` syntax is used to query all the plugins of the interface `org.apache.shardingsphere.sharding.spi.ShardingAlgorithm`.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
showShardingAlgorithmPlugins ::=
'SHOW' 'SHARDING' 'ALGORITHM' 'PLUGINS'
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Return Value Description
| Columns | Description |
|--------------|--------------|
| type | type |
| type_aliases | type aliases |
| description | description |
### Example
- Query all the plugins for `org.apache.shardingsphere.sharding.spi.ShardingAlgorithm` interface
```sql
SHOW SHARDING ALGORITHM PLUGINS
```
```sql
SHOW SHARDING ALGORITHM PLUGINS;
+----------------+--------------+-------------+
| type | type_aliases | description |
+----------------+--------------+-------------+
| MOD | | |
| HASH_MOD | | |
| VOLUME_RANGE | | |
| BOUNDARY_RANGE | | |
| AUTO_INTERVAL | | |
| INTERVAL | | |
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/plugin/show-mask-algorithm-plugins.cn.md
=====================================================
+++
title = "SHOW MASK ALGORITHM PLUGINS"
weight = 5
+++
### 描述
`SHOW MASK ALGORITHM PLUGINS` 语法用于查询 `org.apache.shardingsphere.mask.spi.MaskAlgorithm` 接口的所有实现类。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
showMaskAlgorithmPlugins ::=
'SHOW' 'MASK' 'ALGORITHM' 'PLUGINS'
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 返回值说明
| 列 | 说明 |
|--------------|--------|
| type | 类型 |
| type_aliases | 类型别名 |
| description | 描述 |
### 示例
- 查询 `org.apache.shardingsphere.mask.spi.MaskAlgorithm` 接口的所有实现类
```sql
SHOW MASK ALGORITHM PLUGINS
```
```sql
SHOW MASK ALGORITHM PLUGINS;
+------------------------------+--------------+-------------+
| type | type_aliases | description |
+------------------------------+--------------+-------------+
| MD5 | | |
| KEEP_FIRST_N_LAST_M | | |
| KEEP_FROM_X_TO_Y | | |
| MASK_AFTER_SPECIAL_CHARS | | |
| MASK_BEFORE_SPECIAL_CHARS | | |
| MASK_FIRST_N_LAST_M | | |
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/plugin/show-shadow-algorithm-plugins.en.md
=====================================================
+++
title = "SHOW SHADOW ALGORITHM PLUGINS"
weight = 6
+++
### Description
The `SHOW SHADOW ALGORITHM PLUGINS` syntax is used to query all the implementations of the interface `org.apache.shardingsphere.shadow.spi.ShadowAlgorithm`.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
showShadowAlgorithmPlugins ::=
'SHOW' 'SHADOW' 'ALGORITHM' 'PLUGINS'
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Return Value Description
| Columns | Description |
|--------------|--------------|
| type | type |
| type_aliases | type aliases |
| description | description |
### Example
- Query all the implementations for `org.apache.shardingsphere.shadow.spi.ShadowAlgorithm` interface
```sql
SHOW SHADOW ALGORITHM PLUGINS
```
```sql
SHOW SHADOW ALGORITHM PLUGINS;
+-------------+--------------+-------------+
| type | type_aliases | description |
+-------------+--------------+-------------+
| SQL_HINT | | |
| REGEX_MATCH | | |
| VALUE_MATCH | | |
+-------------+--------------+-------------+
3 rows in set (0.37 sec)
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/plugin/show-encrypt-algorithm-plugins.cn.md
=====================================================
+++
title = "SHOW ENCRYPT ALGORITHM PLUGINS"
weight = 4
+++
### 描述
`SHOW ENCRYPT ALGORITHM PLUGINS` 语法用于查询 `org.apache.shardingsphere.encrypt.spi.EncryptAlgorithm` 接口的所有实现类。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
showEncryptAlgorithmPlugins ::=
'SHOW' 'ENCRYPT' 'ALGORITHM' 'PLUGINS'
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 返回值说明
| 列 | 说明 |
|--------------|--------|
| type | 类型 |
| type_aliases | 类型别名 |
| description | 描述 |
### 示例
- 查询 `org.apache.shardingsphere.encrypt.spi.EncryptAlgorithm` 接口的所有实现类
```sql
SHOW ENCRYPT ALGORITHM PLUGINS
```
```sql
SHOW ENCRYPT ALGORITHM PLUGINS;
+------+--------------+-------------+
| type | type_aliases | description |
+------+--------------+-------------+
| AES | | |
| MD5 | | |
+------+--------------+-------------+
2 rows in set (0.06 sec)
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/plugin/show-plugins.en.md
=====================================================
+++
title = "SHOW PLUGINS OF SPI"
weight = 1
+++
### Description
The `SHOW PLUGINS OF interfaceClass` syntax is used to query all the implementations of an interface.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
showPluginImplementations ::=
'SHOW' 'PLUGINS' 'OF' interfaceClass
interfaceClass ::=
string
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Return Value Description
| Columns | Description |
|--------------|--------------|
| type | type |
| type_aliases | type aliases |
| description | description |
### Example
- Query all the implementations for `org.apache.shardingsphere.sharding.spi.ShardingAlgorithm` interface
```sql
SHOW PLUGINS OF 'org.apache.shardingsphere.sharding.spi.ShardingAlgorithm'
```
```sql
SHOW PLUGINS OF 'org.apache.shardingsphere.sharding.spi.ShardingAlgorithm';
+----------------+--------------+-------------+
| type | type_aliases | description |
+----------------+--------------+-------------+
| MOD | | |
| HASH_MOD | | |
| VOLUME_RANGE | | |
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/plugin/show-encrypt-algorithm-plugins.en.md
=====================================================
+++
title = "SHOW ENCRYPT ALGORITHM PLUGINS"
weight = 4
+++
### Description
The `SHOW ENCRYPT ALGORITHM PLUGINS` syntax is used to query all the implementations of the interface `org.apache.shardingsphere.encrypt.spi.EncryptAlgorithm`.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
showEncryptAlgorithmPlugins ::=
'SHOW' 'ENCRYPT' 'ALGORITHM' 'PLUGINS'
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Return Value Description
| Columns | Description |
|--------------|--------------|
| type | type |
| type_aliases | type aliases |
| description | description |
### Example
- Query all the implementations for `org.apache.shardingsphere.encrypt.spi.EncryptAlgorithm` interface
```sql
SHOW ENCRYPT ALGORITHM PLUGINS
```
```sql
SHOW ENCRYPT ALGORITHM PLUGINS;
+------+--------------+-------------+
| type | type_aliases | description |
+------+--------------+-------------+
| AES | | |
| MD5 | | |
+------+--------------+-------------+
2 rows in set (0.06 sec)
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/plugin/show-load-balance-algorithm-plugins.en.md
=====================================================
+++
title = "SHOW LOAD BALANCE ALGORITHM PLUGINS"
weight = 3
+++
### Description
The `SHOW LOAD BALANCE ALGORITHM PLUGINS` syntax is used to query all the implementations of the interface `org.apache.shardingsphere.infra.algorithm.loadbalancer.core.LoadBalanceAlgorithm`.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
showLoadBalanceAlgorithmPlugins ::=
'SHOW' 'LOAD' 'BALANCE' 'ALGORITHM' 'PLUGINS'
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Return Value Description
| Columns | Description |
|--------------|--------------|
| type | type |
| type_aliases | type aliases |
| description | description |
### Example
- Query all the implementations for `org.apache.shardingsphere.infra.algorithm.loadbalancer.core.LoadBalanceAlgorithm` interface
```sql
SHOW LOAD BALANCE ALGORITHM PLUGINS
```
```sql
SHOW LOAD BALANCE ALGORITHM PLUGINS;
+-------------+--------------+-------------+
| type | type_aliases | description |
+-------------+--------------+-------------+
| ROUND_ROBIN | | |
| RANDOM | | |
| WEIGHT | | |
+-------------+--------------+-------------+
3 rows in set (0.03 sec)
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/plugin/_index.cn.md
=====================================================
+++
title = "插件"
weight = 4
chapter = true
+++
本章节将对插件相关语法进行详细说明。
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/plugin/_index.en.md
=====================================================
+++
title = "PLUGIN"
weight = 4
chapter = true
+++
This chapter describes the syntax of plugin.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/plugin/show-load-balance-algorithm-plugins.cn.md
=====================================================
+++
title = "SHOW LOAD BALANCE ALGORITHM PLUGINS"
weight = 3
+++
### 描述
`SHOW LOAD BALANCE ALGORITHM PLUGINS` 语法用于查询 `org.apache.shardingsphere.infra.algorithm.loadbalancer.core.LoadBalanceAlgorithm` 接口的所有实现类。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
showLoadBalanceAlgorithmPlugins ::=
'SHOW' 'LOAD' 'BALANCE' 'ALGORITHM' 'PLUGINS'
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 返回值说明
| 列 | 说明 |
|--------------|--------|
| type | 类型 |
| type_aliases | 类型别名 |
| description | 描述 |
### 示例
- 查询 `org.apache.shardingsphere.infra.algorithm.loadbalancer.core.LoadBalanceAlgorithm` 接口的所有实现类
```sql
SHOW LOAD BALANCE ALGORITHM PLUGINS
```
```sql
SHOW LOAD BALANCE ALGORITHM PLUGINS;
+-------------+--------------+-------------+
| type | type_aliases | description |
+-------------+--------------+-------------+
| ROUND_ROBIN | | |
| RANDOM | | |
| WEIGHT | | |
+-------------+--------------+-------------+
3 rows in set (0.03 sec)
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/plugin/show-plugins.cn.md
=====================================================
+++
title = "SHOW PLUGINS"
weight = 1
+++
### 描述
`SHOW PLUGINS OF interfaceClass` 语法用于查询指定接口的全部实现。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
showPluginImplementations ::=
'SHOW' 'PLUGINS' 'OF' interfaceClass
interfaceClass ::=
string
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 返回值说明
| 列 | 说明 |
|--------------|--------|
| type | 类型 |
| type_aliases | 类型别名 |
| description | 描述 |
### 示例
- 查询 `org.apache.shardingsphere.sharding.spi.ShardingAlgorithm` 接口的所有实现类
```sql
SHOW PLUGINS OF 'org.apache.shardingsphere.sharding.spi.ShardingAlgorithm'
```
```sql
SHOW PLUGINS OF 'org.apache.shardingsphere.sharding.spi.ShardingAlgorithm';
+----------------+--------------+-------------+
| type | type_aliases | description |
+----------------+--------------+-------------+
| MOD | | |
| HASH_MOD | | |
| VOLUME_RANGE | | |
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/plugin/show-mask-algorithm-plugins.en.md
=====================================================
+++
title = "SHOW MASK ALGORITHM PLUGINS"
weight = 5
+++
### Description
The `SHOW MASK ALGORITHM PLUGINS` syntax is used to query all the implementations of the interface `org.apache.shardingsphere.mask.spi.MaskAlgorithm`.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
showMaskAlgorithmPlugins ::=
'SHOW' 'MASK' 'ALGORITHM' 'PLUGINS'
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Return Value Description
| Columns | Description |
|--------------|--------------|
| type | type |
| type_aliases | type aliases |
| description | description |
### Example
- Query all the implementations for `org.apache.shardingsphere.mask.spi.MaskAlgorithm` interface
```sql
SHOW MASK ALGORITHM PLUGINS
```
```sql
SHOW MASK ALGORITHM PLUGINS;
+------------------------------+--------------+-------------+
| type | type_aliases | description |
+------------------------------+--------------+-------------+
| MD5 | | |
| KEEP_FIRST_N_LAST_M | | |
| KEEP_FROM_X_TO_Y | | |
| MASK_AFTER_SPECIAL_CHARS | | |
| MASK_BEFORE_SPECIAL_CHARS | | |
| MASK_FIRST_N_LAST_M | | |
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/plugin/show-key-generate-algorithm-plugins.cn.md
=====================================================
+++
title = "SHOW KEY GENERATE ALGORITHM PLUGINS"
weight = 7
+++
### 描述
`SHOW KEY GENERATE ALGORITHM PLUGINS` 语法用于查询 `org.apache.shardingsphere.keygen.core.algorithm.KeyGenerateAlgorithm` 接口的所有实现类。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
showKeyGenerateAlgorithmPlugins ::=
'SHOW' 'KEY' 'GENERATE' 'ALGORITHM' 'PLUGINS'
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 返回值说明
| 列 | 说明 |
|--------------|--------|
| type | 类型 |
| type_aliases | 类型别名 |
| description | 描述 |
### 示例
- 查询 `org.apache.shardingsphere.keygen.core.algorithm.KeyGenerateAlgorithm` 接口的所有实现类
```sql
SHOW KEY GENERATE ALGORITHM PLUGINS
```
```sql
SHOW KEY GENERATE ALGORITHM PLUGINS;
+-----------+--------------+-------------+
| type | type_aliases | description |
+-----------+--------------+-------------+
| UUID | | |
| SNOWFLAKE | | |
+-----------+--------------+-------------+
2 rows in set (0.05 sec)
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/plugin/show-key-generate-algorithm-plugins.en.md
=====================================================
+++
title = "SHOW KEY GENERATE ALGORITHM PLUGINS"
weight = 7
+++
### Description
The `"SHOW KEY GENERATE ALGORITHM PLUGINS"` syntax is used to query all the implementations of the interface `org.apache.shardingsphere.keygen.core.algorithm.KeyGenerateAlgorithm`.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
showKeyGenerateAlgorithmPlugins ::=
'SHOW' 'KEY' 'GENERATE' 'ALGORITHM' 'PLUGINS'
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Return Value Description
| Columns | Description |
|--------------|--------------|
| type | type |
| type_aliases | type aliases |
| description | description |
### Example
- Query all the implementations for `org.apache.shardingsphere.keygen.core.algorithm.KeyGenerateAlgorithm` interface
```sql
SHOW KEY GENERATE ALGORITHM PLUGINS
```
```sql
SHOW KEY GENERATE ALGORITHM PLUGINS;
+-----------+--------------+-------------+
| type | type_aliases | description |
+-----------+--------------+-------------+
| UUID | | |
| SNOWFLAKE | | |
+-----------+--------------+-------------+
2 rows in set (0.05 sec)
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/export-database-configuration.en.md
=====================================================
+++
title = "EXPORT DATABASE CONFIGURATION"
weight = 13
+++
### Description
The `EXPORT DATABASE CONFIGURATION` syntax is used to export storage units and rule configurations to `YAML` format.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ExportDatabaseConfiguration ::=
'EXPORT' 'DATABASE' 'CONFIGURATION' ('FROM' databaseName)? ('TO' 'FILE' filePath)?
databaseName ::=
identifier
filePath ::=
string
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the currently used logical database will be exported; if no database is used, `No database selected` will be prompted;
- When `filePath` is not specified, the exported information will be output through the result set;
- When `filePath` is specified, the file will be automatically created. If the file already exists, it will be overwritten.
### Example
- Export currently used logical database
```sql
mysql> EXPORT DATABASE CONFIGURATION;
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| result |
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| databaseName: sharding_db
dataSources:
ds_1:
password: 123456
url: jdbc:mysql://127.0.0.1:3306/db0
username: root
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/set-dist-vairable.cn.md
=====================================================
+++
title = "SET DIST VARIABLE"
weight = 7
+++
### 描述
`SET DIST VARIABLE` 语法用于设置系统变量。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
SetDistVariable ::=
'SET' 'DIST' 'VARIABLE' (proxyPropertyName '=' proxyPropertyValue | 'agent_plugins_enabled' '=' agentPluginsEnabled)
proxyPropertyName ::=
identifier
proxyPropertyValue ::=
literal
agentPluginsEnabled ::=
boolean
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- `proxy_property_name` 为 `PROXY` 的[属性配置](/cn/user-manual/shardingsphere-proxy/yaml-config/props/)，需使用下划线命名
- `agent_plugins_enabled` 为 `agent` 插件的启用状态，默认值 `FALSE`
- `system_log_level` 为 系统日志等级，仅影响 `PROXY` 的日志打印，默认值 `INFO`
### 示例
- 设置 `Proxy` 属性配置
```sql
SET DIST VARIABLE sql_show = true;
```
- 设置 `agent` 插件启用状态
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/show-rules-used-storage-unit.en.md
=====================================================
+++
title = "SHOW RULES USED STORAGE UNIT"
weight = 12
+++
### Description
The `SHOW RULES USED STORAGE UNIT` syntax is used to query the rules for using the specified storage unit in specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowRulesUsedStorageUnit ::=
'SHOW' 'RULES' 'USED' 'STORAGE' 'UNIT' storageUnitName ('FROM' databaseName)?
storageUnitName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Return Value Description
| Columns | Description |
|-------------|---------------|
| type | rule type |
| name | rule name |
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted.
### Example
- Query the rules for using the specified storage unit in specified database
```sql
SHOW RULES USED STORAGE UNIT ds_1 FROM sharding_db;
```
```sql
mysql> SHOW RULES USED STORAGE UNIT ds_1 FROM sharding_db;
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/show-compute-node-mode.cn.md
=====================================================
+++
title = "SHOW COMPUTE NODE MODE"
weight = 6
+++
### 描述
`SHOW COMPUTE NODE MODE` 语法用于查询当前 proxy 的模式配置信息。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowComputeNodeMode ::=
'SHOW' 'COMPUTE' 'NODE' 'MODE'
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 返回值说明
| 列 | 说明 |
|------------|-----------------|
| type | proxy 模式类型 |
| repository | proxy 持久化仓库类型 |
| props | proxy 持久化仓库属性参数 |
### 示例
- 查询当前 proxy 实例模式配置信息
```sql
SHOW COMPUTE NODE MODE;
```
```sql
mysql> SHOW COMPUTE NODE MODE;
+---------+------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| type | repository | props |
+---------+------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Cluster | ZooKeeper | {"operationTimeoutMilliseconds":500,"timeToLiveSeconds":60,"maxRetries":3,"namespace":"governance_ds","server-lists":"localhost:2181","retryIntervalMilliseconds":500} |
+---------+------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
1 row in set (0.00 sec)
```
### 保留字
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/show-compute-node-info.en.md
=====================================================
+++
title = "SHOW COMPUTE NODE INFO"
weight = 5
+++
### Description
The `SHOW COMPUTE NODE INFO` syntax is used to query current proxy instance information.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowComputeNodeInfo ::=
'SHOW' 'COMPUTE' 'NODE' 'INFO'
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Return Value Description
| Columns | Description |
|----------------|-----------------------|
| instance_id | proxy instance id |
| host | host address |
| port | port number |
| status | proxy instance status |
| mode_type | proxy instance mode |
| worker_id | worker id |
| labels | labels |
### Example
- Query current proxy instance information
```sql
SHOW COMPUTE NODE INFO;
```
```sql
mysql> SHOW COMPUTE NODE INFO;
+--------------------------------------+---------------+------+--------+-----------+-----------+--------+
| instance_id | host | port | status | mode_type | worker_id | labels |
+--------------------------------------+---------------+------+--------+-----------+-----------+--------+
| 734bb036-b15d-4af0-be87-2372d8b6a0cd | 192.168.5.163 | 3307 | OK | Cluster | -1 | |
+--------------------------------------+---------------+------+--------+-----------+-----------+--------+
1 row in set (0.01 sec)
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/refresh-table-metadata.cn.md
=====================================================
+++
title = "REFRESH TABLE METADATA"
weight = 9
+++
### 描述
`REFRESH TABLE METADATA` 语法用于刷新表元数据。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
RefreshTableMetadata ::=
'REFRESH' 'TABLE' 'METADATA' (tableName | tableName 'FROM' 'STORAGE' 'UNIT' storageUnitName ('SCHEMA' schemaName)?)?
tableName ::=
identifier
storageUnitName ::=
identifier
schemaName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `tableName` 和 `storageUnitName` 时，默认刷新所有表的元数据；
- 刷新元数据需要使用 `DATABASE` 如果未使用 `DATABASE` 则会提示 `No database selected`；
- 如果 `SCHEMA` 中不存在表，则会删除该 `SCHEMA`。
### 示例
- 刷新指定存储单元中指定 `SCHEMA` 中指定表的元数据
```sql
REFRESH TABLE METADATA t_order FROM STORAGE UNIT ds_1 SCHEMA db_schema;
```
- 刷新指定存储单元中指定 `SCHEMA` 中所有表的元数据
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/refresh-database-metadata.en.md
=====================================================
+++
title = "REFRESH DATABASE METADATA FROM GOVERNANCE CENTER"
weight = 10
+++
### Description
The `REFRESH DATABASE METADATA` syntax is used to refresh the metadata of the local logic database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
RefreshDatabaseMetadata ::=
'FORCE'? 'REFRESH' 'DATABASE' 'METADATA' databaseName?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is to refresh all database metadata.
- When using `FORCE` to refresh metadata, the latest metadata will be obtained locally and written to the governance center. If without `FORCE`, it will be pulled from the governance center.
### Example
- Refresh metadata for specified database
```sql
REFRESH DATABASE METADATA sharding_db;
```
- Refresh all database metadata
```sql
REFRESH DATABASE METADATA;
```
- Force refresh all database metadata
```sql
FORCE REFRESH DATABASE METADATA;
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/convert-yaml-configuration.cn.md
=====================================================
+++
title = "CONVERT YAML CONFIGURATION"
weight = 15
+++
### 描述
`CONVERT YAML CONFIGURATION` 语法用于将 `YAML` 配置转换为对应的 DistSQL RDL 语句。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
convertYamlConfiguration ::=
'CONVERT' 'YAML' 'CONFIGURATION' 'FROM' 'FILE' filePath
filePath ::=
string
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- `CONVERT YAML CONFIGURATION` 语法仅读取 YAML 文件并将配置转换为 DistSQL 语句，不会影响当前元数据；
- 当 YAML 中 `dataSources` 为空时，不会进行 `rules` 的转换。
### 示例
```sql
mysql> CONVERT YAML CONFIGURATION FROM FILE '/xxx/config_sharding_db.yaml';
+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| dist_sql |
+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| CREATE DATABASE sharding_db;
USE sharding_db;
REGISTER STORAGE UNIT ds_0 (
URL='jdbc:mysql://127.0.0.1:3306/demo_ds_0?serverTimezone=UTC&useSSL=false&allowPublicKeyRetrieval=true',
USER='root',
PASSWORD='123456',
PROPERTIES('maxPoolSize'='10')
), ds_1 (
URL='jdbc:mysql://127.0.0.1:3306/demo_ds_1?serverTimezone=UTC&useSSL=false&allowPublicKeyRetrieval=true',
USER='root',
PASSWORD='123456',
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/alter-migration-rule.cn.md
=====================================================
+++
title = "ALTER MIGRATION RULE"
weight = 2
+++
### 描述
`ALTER MIGRATION RULE` 语法用于修改数据迁移规则。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
AlterMigrationRule ::=
'ALTER' 'MIGRATION' 'RULE' ('(' (readConfiguration ',')? (writeConfiguration ',')? (dataChannel)? ')')?
readConfiguration ::=
'READ' '(' ('WORKER_THREAD' '=' workerThreadPoolSize ',')? ('BATCH_SIZE' '=' batchSize ',')? ('SHARDING_SIZE' '=' shardingSize ',')? (rateLimiter)? ')'
writeConfiguration ::=
'WRITE' '(' ('WORKER_THREAD' '=' workerThreadPoolSize ',')? ('BATCH_SIZE' '=' batchSize ',')? ('SHARDING_SIZE' '=' shardingSize ',')? (rateLimiter)? ')'
dataChannel ::=
'STREAM_CHANNEL' '(' 'TYPE' '(' 'NAME' '=' algorithmName ',' propertiesDefinition ')' ')'
workerThreadPoolSize ::=
int
batchSize ::=
int
shardingSize ::=
int
rateLimiter ::=
'RATE_LIMITER' '(' 'TYPE' '(' 'NAME' '=' algorithmName ',' propertiesDefinition ')' ')'
algorithmName ::=
string
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
key ::=
string
value ::=
literal
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/stop-migration-check.cn.md
=====================================================
+++
title = "STOP MIGRATION CHECK"
weight = 13
+++
### 描述
`STOP MIGRATION CHECK` 语法用于停止指定数据迁移作业的数据校验。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
StopMigrationCheck ::=
'STOP' 'MIGRATION' 'CHECK' migrationJobId
migrationJobId ::=
string
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- `migrationJobId` 需要通过 [SHOW MIGRATION LIST](/cn/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-list/) 语法查询获得
### 示例
- 停止指定数据迁移作业的数据校验
```sql
STOP MIGRATION CHECK 'j010180026753ef0e25d3932d94d1673ba551';
```
### 保留字
`STOP`、`MIGRATION`、`CHECK`
### 相关链接
- [保留字](/cn/user-manual/shardingsphere-proxy/distsql/syntax/reserved-word/)
- [SHOW MIGRATION LIST](/cn/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-list/)
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/rollback-migration.en.md
=====================================================
+++
title = "ROLLBACK MIGRATION"
weight = 17
+++
### Description
The `ROLLBACK MIGRATION` syntax is used to rollback migration process.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
RollbackMigration ::=
'ROLLBACK' 'MIGRATION' migrationJobId
migrationJobId ::=
string
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- `migrationJobId` needs to be obtained through [SHOW MIGRATION LIST](/en/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-list/) syntax query
- After the statement is executed, the target will be cleaned up
### Example
- Rollback migration process
```sql
ROLLBACK MIGRATION 'j010180026753ef0e25d3932d94d1673ba551';
```
### Reserved word
`ROLLBACK`, `MIGRATION`
### Related links
- [Reserved word](/en/user-manual/shardingsphere-proxy/distsql/syntax/reserved-word/)
- [SHOW MIGRATION LIST](/en/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-list/)
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/register-migration-source-storage-unit.cn.md
=====================================================
+++
title = "REGISTER MIGRATION SOURCE STORAGE UNIT"
weight = 3
+++
### 描述
`REGISTER MIGRATION SOURCE STORAGE UNIT` 语法用于为当前连接注册数据迁移源存储单元。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
RegisterStorageUnit ::=
'REGISTER' 'MIGRATION' 'SOURCE' 'STORAGE' 'UNIT' storageUnitDefinition (',' storageUnitDefinition)*
storageUnitDefinition ::=
StorageUnitName '(' 'URL' '=' url ',' 'USER' '=' user (',' 'PASSWORD' '=' password)? (',' propertiesDefinition)?')'
storageUnitName ::=
identifier
url ::=
string
user ::=
string
password ::=
string
propertiesDefinition ::=
'PROPERTIES' '(' ( key '=' value ) ( ',' key '=' value )* ')'
key ::=
string
value ::=
literal
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 特别说明
- 确认注册的数据迁移源存储单元是可以正常连接的， 否则将不能注册成功；
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-check-algorithm.cn.md
=====================================================
+++
title = "SHOW MIGRATION CHECK ALGORITHM"
weight = 9
+++
### 描述
`SHOW MIGRATION CHECK ALGORITHM` 语法用于查询数据迁移一致性校验算法。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowMigrationCheckAlgorithm ::=
'SHOW' 'MIGRATION' 'CHECK' 'ALGORITHMS'
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 返回值说明
| 列 | 说明 |
|--------------------------|-----------|
| type | 一致性校验算法类型 |
| supported_database_types | 支持数据库类型 |
| description | 说明 |
### 示例
- 查询数据迁移一致性校验算法
```sql
SHOW MIGRATION CHECK ALGORITHMS;
```
```sql
mysql> SHOW MIGRATION CHECK ALGORITHMS;
+-------------+--------------------------------------------------------------+----------------------------+
| type | supported_database_types | description |
+-------------+--------------------------------------------------------------+----------------------------+
| CRC32_MATCH | MySQL | Match CRC32 of records. |
| DATA_MATCH | SQL92,MySQL,MariaDB,PostgreSQL,openGauss,Oracle,SQLServer,H2 | Match raw data of records. |
+-------------+--------------------------------------------------------------+----------------------------+
2 rows in set (0.03 sec)
```
### 保留字
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-rule.cn.md
=====================================================
+++
title = "SHOW MIGRATION RULE"
weight = 1
+++
### 描述
`SHOW MIGRATION RULE` 语法用于查询数据迁移规则。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowMigrationRule ::=
'SHOW' 'MIGRATION' 'RULE'
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 返回值说明
| 列 | 说明 |
|----------------|--------|
| read | 数据读取配置 |
| write | 数据写入配置 |
| stream_channel | 数据通道 |
### 示例
- 查询数据迁移规则
```sql
SHOW MIGRATION RULE;
```
```sql
mysql> SHOW MIGRATION RULE;
+--------------------------------------------------------------+--------------------------------------+-------------------------------------------------------+
| read | write | stream_channel |
+--------------------------------------------------------------+--------------------------------------+-------------------------------------------------------+
| {"workerThread":20,"batchSize":1000,"shardingSize":10000000} | {"workerThread":20,"batchSize":1000} | {"type":"MEMORY","props":{"block-queue-size":"2000"}} |
+--------------------------------------------------------------+--------------------------------------+-------------------------------------------------------+
1 row in set (0.01 sec)
```
### 保留字
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/stop-migration.en.md
=====================================================
+++
title = "STOP MIGRATION"
weight = 15
+++
### Description
The `STOP MIGRATION` syntax is used to stop migration process.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
StopMigration ::=
'STOP' 'MIGRATION' migrationJobId
migrationJobId ::=
string
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- `migrationJobId` needs to be obtained through [SHOW MIGRATION LIST](/en/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-list/) syntax query
### Example
- Stop migration process
```sql
STOP MIGRATION 'j010180026753ef0e25d3932d94d1673ba551';
```
### Reserved word
`STOP`, `MIGRATION`
### Related links
- [Reserved word](/en/user-manual/shardingsphere-proxy/distsql/syntax/reserved-word/)
- [SHOW MIGRATION LIST](/en/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-list/)
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/check-migration.en.md
=====================================================
+++
title = "CHECK MIGRATION "
weight = 10
+++
### Description
The `CHECK MIGRATION LIST` syntax is used to check data consistancy in migration job.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowMigrationList ::=
'CHECK' 'MIGRATION' migrationJobId 'BY' 'TYPE' '(' 'NAME' '=' migrationCheckAlgorithmType ')'
migrationJobId ::=
string
migrationCheckAlgorithmType ::=
string
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- `migrationJobId` needs to be obtained through [SHOW MIGRATION LIST](/en/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-list/) syntax query
- `migrationCheckAlgorithmType` needs to be obtained through [SHOW MIGRATION CHECK ALGORITHMS](/en/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-check-algorithm/) syntax query
### Example
- check data consistancy in migration job
```sql
CHECK MIGRATION 'j01016e501b498ed1bdb2c373a2e85e2529a6' BY TYPE (NAME='CRC32_MATCH');
```
### Reserved word
`CHECK`, `MIGRATION`, `BY`, `TYPE`
### Related links
- [Reserved word](/en/user-manual/shardingsphere-proxy/distsql/syntax/reserved-word/)
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/migrate-table-into.en.md
=====================================================
+++
title = "MIGRATE TABLE INTO"
weight = 6
+++
### Description
`MIGRATE TABLE INTO` syntax is used to migration table from source to target
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
MigrateTableInto ::=
'MIGRATE' 'TABLE' migrationSource '.' tableName 'INTO' (databaseName '.')? tableName
migrationSource ::=
identifier
databaseName ::=
identifier
tableName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted.
### Example
- Migrate table from source to current database
```sql
MIGRATE TABLE ds_0.t_order INTO t_order;
```
- Migrate table from source to specified database
```sql
UNREGISTER MIGRATION SOURCE STORAGE UNIT ds_1, ds_2;
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-rule.en.md
=====================================================
+++
title = "SHOW MIGRATION RULE"
weight = 1
+++
### Description
The `SHOW MIGRATION RULE` syntax is used to query migration rule.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowMigrationRule ::=
'SHOW' 'MIGRATION' 'RULE'
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Return Value Description
| Column | Description |
|----------------|----------------------------|
| read | Data reading configuration |
| write | Data writing configuration |
| stream_channel | Data channel |
### Example
- Query migration rule
```sql
SHOW MIGRATION RULE;
```
```sql
mysql> SHOW MIGRATION RULE;
+--------------------------------------------------------------+--------------------------------------+-------------------------------------------------------+
| read | write | stream_channel |
+--------------------------------------------------------------+--------------------------------------+-------------------------------------------------------+
| {"workerThread":20,"batchSize":1000,"shardingSize":10000000} | {"workerThread":20,"batchSize":1000} | {"type":"MEMORY","props":{"block-queue-size":"2000"}} |
+--------------------------------------------------------------+--------------------------------------+-------------------------------------------------------+
1 row in set (0.01 sec)
```
### Reserved word
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-source-storage-units.en.md
=====================================================
+++
title = "SHOW MIGRATION SOURCE STORAGE UNITS"
weight = 5
+++
### Description
The `SHOW MIGRATION SOURCE STORAGE UNITS` syntax is used to query the registered migration source storage units
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowStorageUnit ::=
'SHOW' 'MIGRATION' 'SOURCE' 'STORAGE' 'UNITS'
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Return Value Description
| Column | Description |
|-----------|------------------------|
| name | Storage unit name |
| type | Storage unit type |
| host | Storage unit host |
| port | Storage unit port |
| db | Database name |
| attribute | Storage unit attribute |
### Example
- Query registered migration source storage units
```sql
SHOW MIGRATION SOURCE STORAGE UNITS;
```
```sql
mysql> SHOW MIGRATION SOURCE STORAGE UNITS;
+------+-------+-----------+------+----------------+---------------------------------+---------------------------+---------------------------+---------------+---------------+-----------+------------------+
| name | type | host | port | db | connection_timeout_milliseconds | idle_timeout_milliseconds | max_lifetime_milliseconds | max_pool_size | min_pool_size | read_only | other_attributes |
+------+-------+-----------+------+----------------+---------------------------------+---------------------------+---------------------------+---------------+---------------+-----------+------------------+
| ds_1 | MySQL | 127.0.0.1 | 3306 | migration_ds_0 | | | | | | | |
+------+-------+-----------+------+----------------+---------------------------------+---------------------------+---------------------------+---------------+---------------+-----------+------------------+
1 row in set (0.01 sec)
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/start-migration.en.md
=====================================================
+++
title = "START MIGRATION"
weight = 14
+++
### Description
The `START MIGRATION` syntax is used to start migration process.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
StartMigration ::=
'START' 'MIGRATION' migrationJobId
migrationJobId ::=
string
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- `migrationJobId` needs to be obtained through [SHOW MIGRATION LIST](/en/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-list/) syntax query
### Example
- Start migration process
```sql
START MIGRATION 'j010180026753ef0e25d3932d94d1673ba551';
```
### Reserved word
`START`, `MIGRATION`
### Related links
- [Reserved word](/en/user-manual/shardingsphere-proxy/distsql/syntax/reserved-word/)
- [SHOW MIGRATION LIST](/en/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-list/)
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-list.en.md
=====================================================
+++
title = "SHOW MIGRATION LIST"
weight = 7
+++
### Description
The `SHOW MIGRATION LIST` syntax is used to query migration job list.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowMigrationList ::=
'SHOW' 'MIGRATION' 'LIST'
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Return Values Description
| Columns | Description |
|----------------|--------------------------------|
| id | migration job id |
| tables | migration tables |
| job_item_count | migration job sharding number |
| active | migration job states |
| create_time | migration job create time |
| stop_time | migration job stop time |
### Example
- Query migration job list
```sql
SHOW MIGRATION LIST;
```
```sql
mysql> SHOW MIGRATION LIST;
+---------------------------------------+---------+----------------+--------+---------------------+---------------------+
| id | tables | job_item_count | active | create_time | stop_time |
+---------------------------------------+---------+----------------+--------+---------------------+---------------------+
| j01013a38b0184e07c864627b5bb05da09ee0 | t_order | 1 | false | 2022-10-31 18:18:24 | 2022-10-31 18:18:31 |
+---------------------------------------+---------+----------------+--------+---------------------+---------------------+
1 row in set (0.28 sec)
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-check-algorithm.en.md
=====================================================
+++
title = "SHOW MIGRATION CHECK ALGORITHM"
weight = 9
+++
### Description
The `SHOW MIGRATION RULE` syntax is used to query migration check algorithm.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowMigrationCheckAlgorithm ::=
'SHOW' 'MIGRATION' 'CHECK' 'ALGORITHMS'
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Return Value Description
| Column | Description |
|--------------------------|--------------------------------------------|
| type | migration check algorithm type |
| supported_database_types | supported database type |
| description | Description of migration check algorithm |
### Example
- Query migration check algorithm
```sql
SHOW MIGRATION CHECK ALGORITHMS;
```
```sql
mysql> SHOW MIGRATION CHECK ALGORITHMS;
+-------------+--------------------------------------------------------------+----------------------------+
| type | supported_database_types | description |
+-------------+--------------------------------------------------------------+----------------------------+
| CRC32_MATCH | MySQL | Match CRC32 of records. |
| DATA_MATCH | SQL92,MySQL,MariaDB,PostgreSQL,openGauss,Oracle,SQLServer,H2 | Match raw data of records. |
+-------------+--------------------------------------------------------------+----------------------------+
2 rows in set (0.03 sec)
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-list.cn.md
=====================================================
+++
title = "SHOW MIGRATION LIST"
weight = 7
+++
### 描述
`SHOW MIGRATION LIST` 语法用于查询数据迁移作业列表。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowMigrationList ::=
'SHOW' 'MIGRATION' 'LIST'
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 返回值说明
| 列 | 说明 |
|----------------|------------|
| id | 数据迁移作业ID |
| tables | 迁移表 |
| job_item_count | 数据迁移作业分片数量 |
| active | 数据迁移作业状态 |
| create_time | 数据迁移作业创建时间 |
| stop_time | 数据迁移作业停止时间 |
### 示例
- 查询数据迁移作业列表
```sql
SHOW MIGRATION LIST;
```
```sql
mysql> SHOW MIGRATION LIST;
+---------------------------------------+---------+----------------+--------+---------------------+---------------------+
| id | tables | job_item_count | active | create_time | stop_time |
+---------------------------------------+---------+----------------+--------+---------------------+---------------------+
| j01013a38b0184e07c864627b5bb05da09ee0 | t_order | 1 | false | 2022-10-31 18:18:24 | 2022-10-31 18:18:31 |
+---------------------------------------+---------+----------------+--------+---------------------+---------------------+
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/start-migration-check.en.md
=====================================================
+++
title = "START MIGRATION CHECK"
weight = 12
+++
### Description
The `START MIGRATION CHECK` syntax is used to stop migration check process.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
StartMigrationCheck ::=
'START' 'MIGRATION' 'CHECK' migrationJobId
migrationJobId ::=
string
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- `migrationJobId` needs to be obtained through [SHOW MIGRATION LIST](/en/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-list/) syntax query
### Example
- Stop migration check process
```sql
START MIGRATION CHECK 'j010180026753ef0e25d3932d94d1673ba551';
```
### Reserved word
`START`, `MIGRATION`, `CHECK`
### Related links
- [Reserved word](/en/user-manual/shardingsphere-proxy/distsql/syntax/reserved-word/)
- [SHOW MIGRATION LIST](/en/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-list/)
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/migrate-table-into.cn.md
=====================================================
+++
title = "MIGRATE TABLE INTO"
weight = 6
+++
### 描述
`MIGRATE TABLE INTO` 语法用于将表从源端迁移到目标端。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
MigrateTableInto ::=
'MIGRATE' 'TABLE' migrationSource '.' tableName 'INTO' (databaseName '.')? tableName
migrationSource ::=
identifier
databaseName ::=
identifier
tableName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`。
### 示例
- 将表从源端迁移到当前逻辑库
```sql
MIGRATE TABLE ds_0.t_order INTO t_order;
```
- 将表从源端迁移到指定逻辑库
```sql
MIGRATE TABLE ds_0.t_order INTO sharding_db.t_order;
```
### 保留字
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-status.en.md
=====================================================
+++
title = "SHOW MIGRATION STATUS"
weight = 8
+++
### Description
The `SHOW MIGRATION STATUS` syntax is used to query migration job status for specified migration job.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowMigrationStatus ::=
'SHOW' 'MIGRATION' 'STATUS' migrationJobId
migrationJobId ::=
string
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- `migrationJobId` needs to be obtained through `SHOW MIGRATION LIST` syntax query
### Return Value Description
| column | Description |
|--------------------------------|--------------------------------------|
| item | migration job sharding serial number |
| data source | migration source |
| status | migration job status |
| processed_records_count | number of processed rows |
| inventory_finished_percentage | finished percentage of migration job |
| incremental_idle_seconds | incremental idle time |
| error_message | error message |
### Example
- Query migration job status
```sql
SHOW MIGRATION STATUS 'j010180026753ef0e25d3932d94d1673ba551';
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/rollback-migration.cn.md
=====================================================
+++
title = "ROLLBACK MIGRATION"
weight = 17
+++
### 描述
`ROLLBACK MIGRATION` 语法用于撤销指定的数据迁移作业。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
RollbackMigration ::=
'ROLLBACK' 'MIGRATION' migrationJobId
migrationJobId ::=
string
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- `migrationJobId` 需要通过 [SHOW MIGRATION LIST](/cn/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-list/) 语法查询获得
- 该语句执行后会清理目标端
### 示例
- 撤销指定的数据迁移作业
```sql
ROLLBACK MIGRATION 'j010180026753ef0e25d3932d94d1673ba551';
```
### 保留字
`ROLLBACK`、`MIGRATION`
### 相关链接
- [保留字](/cn/user-manual/shardingsphere-proxy/distsql/syntax/reserved-word/)
- [SHOW MIGRATION LIST](/cn/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-list/)
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-source-storage-units.cn.md
=====================================================
+++
title = "SHOW MIGRATION SOURCE STORAGE UNITS"
weight = 5
+++
### 描述
`SHOW MIGRATION SOURCE STORAGE UNITS` 语法用于查询已经注册的数据迁移源存储单元。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowStorageUnit ::=
'SHOW' 'MIGRATION' 'SOURCE' 'STORAGE' 'UNITS'
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 返回值说明
| 列 | 说明 |
|-----------|--------|
| name | 存储单元名称 |
| type | 存储单元类型 |
| host | 存储单元地址 |
| port | 存储单元端口 |
| db | 数据库名称 |
| attribute | 存储单元参数 |
### 示例
- 查询指定逻辑库中未被使用的存储单元
```sql
SHOW MIGRATION SOURCE STORAGE UNITS;
```
```sql
mysql> SHOW MIGRATION SOURCE STORAGE UNITS;
+------+-------+-----------+------+----------------+---------------------------------+---------------------------+---------------------------+---------------+---------------+-----------+------------------+
| name | type | host | port | db | connection_timeout_milliseconds | idle_timeout_milliseconds | max_lifetime_milliseconds | max_pool_size | min_pool_size | read_only | other_attributes |
+------+-------+-----------+------+----------------+---------------------------------+---------------------------+---------------------------+---------------+---------------+-----------+------------------+
| ds_1 | MySQL | 127.0.0.1 | 3306 | migration_ds_0 | | | | | | | |
+------+-------+-----------+------+----------------+---------------------------------+---------------------------+---------------------------+---------------+---------------+-----------+------------------+
1 row in set (0.01 sec)
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/register-migration-source-storage-unit.en.md
=====================================================
+++
title = "REGISTER MIGRATION SOURCE STORAGE UNIT"
weight = 3
+++
### Description
The `REGISTER MIGRATION SOURCE STORAGE UNIT` syntax is used to register migration source storage unit for the currently connection.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
RegisterStorageUnit ::=
'REGISTER' 'MIGRATION' 'SOURCE' 'STORAGE' 'UNIT' storageUnitDefinition (',' storageUnitDefinition)*
storageUnitDefinition ::=
StorageUnitName '(' 'URL' '=' url ',' 'USER' '=' user (',' 'PASSWORD' '=' password)? (',' propertiesDefinition)?')'
storageUnitName ::=
identifier
url ::=
string
user ::=
string
password ::=
string
propertiesDefinition ::=
'PROPERTIES' '(' ( key '=' value ) ( ',' key '=' value )* ')'
key ::=
string
value ::=
literal
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- Confirm that the registered migration source storage unit can be connected normally, otherwise it will not be added successfully;
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-check-status.cn.md
=====================================================
+++
title = "SHOW MIGRATION CHECK STATUS"
weight = 11
+++
### 描述
`SHOW MIGRATION CHECK STATUS` 语法用于查询指定数据迁移作业的数据校验情况。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowMigrationCheckStatus ::=
'SHOW' 'MIGRATION' 'CHECK' 'STATUS' migrationJobId
migrationJobId ::=
string
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- `migrationJobId` 需要通过 [SHOW MIGRATION LIST](/cn/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-list/) 语法查询获得
### 返回值说明
| 列 | 说明 |
|---------------------|--------|
| tables | 校验表 |
| result | 校验结果 |
| finished_percentage | 校验完成度 |
| remaining_seconds | 剩余时间 |
| check_begin_time | 校验开始时间 |
| check_end_time | 校验结束时间 |
| error_message | 错误信息提示 |
### 示例
- 查询指定数据迁移作业的数据校验情况
```sql
SHOW MIGRATION CHECK STATUS 'j010180026753ef0e25d3932d94d1673ba551';
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/commit-migration.en.md
=====================================================
+++
title = "COMMIT MIGRATION"
weight = 16
+++
### Description
The `COMMIT MIGRATION` syntax is used to commit migration process.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
CommitMigration ::=
'COMMIT' 'MIGRATION' migrationJobId
migrationJobId ::=
string
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- `migrationJobId` needs to be obtained through [SHOW MIGRATION LIST](/en/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-list/) syntax query
### Example
- Commit migration process
```sql
COMMIT MIGRATION 'j010180026753ef0e25d3932d94d1673ba551';
```
### Reserved word
`COMMIT`, `MIGRATION`
### Related links
- [Reserved word](/en/user-manual/shardingsphere-proxy/distsql/syntax/reserved-word/)
- [SHOW MIGRATION LIST](/en/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-list/)
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-status.cn.md
=====================================================
+++
title = "SHOW MIGRATION STATUS"
weight = 8
+++
### 描述
`SHOW MIGRATION STATUS` 语法用于查询指定数据迁移作业的详细情况。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowMigrationStatus ::=
'SHOW' 'MIGRATION' 'STATUS' migrationJobId
migrationJobId ::=
string
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- `migrationJobId` 需要通过 `SHOW MIGRATION LIST` 语法查询获得
### 返回值说明
| 列 | 说明 |
|-------------------------------|------------|
| item | 数据迁移作业分片编号 |
| data source | 数据迁移源 |
| status | 数据迁移作业状态 |
| processed_records_count | 处理数据行数 |
| inventory_finished_percentage | 数据迁移作业完成度 |
| incremental_idle_seconds | 增量闲置时间 |
| error_message | 错误信息提示 |
### 示例
- 查询指定数据迁移作业的详细情况
```sql
SHOW MIGRATION STATUS 'j010180026753ef0e25d3932d94d1673ba551';
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/start-migration.cn.md
=====================================================
+++
title = "START MIGRATION"
weight = 14
+++
### 描述
`START MIGRATION` 语法用于开始指定的数据迁移作业。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
StartMigration ::=
'START' 'MIGRATION' migrationJobId
migrationJobId ::=
string
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- `migrationJobId` 需要通过 [SHOW MIGRATION LIST](/cn/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-list/) 语法查询获得
### 示例
- 停止指定的数据迁移作业
```sql
START MIGRATION 'j010180026753ef0e25d3932d94d1673ba551';
```
### 保留字
`START`、`MIGRATION`
### 相关链接
- [保留字](/cn/user-manual/shardingsphere-proxy/distsql/syntax/reserved-word/)
- [SHOW MIGRATION LIST](/cn/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-list/)
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/_index.en.md
=====================================================
+++
title = "MIGRATUION"
weight = 3
chapter = true
+++
This chapter describes the syntax of migration.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-check-status.en.md
=====================================================
+++
title = "SHOW MIGRATION CHECK STATUS"
weight = 11
+++
### Description
The `SHOW MIGRATION CHECK STATUS` syntax is used to query migration check status for specified migration job.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowMigrationCheckStatus ::=
'SHOW' 'MIGRATION' 'CHECK' 'STATUS' migrationJobId
migrationJobId ::=
string
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- `migrationJobId` needs to be obtained through [SHOW MIGRATION LIST](/en/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-list/) syntax query
### Return Value Description
| Columns | Description |
|---------------------|------------------------------------|
| tables | migration check table |
| result | check result |
| finished_percentage | check finished finished_percentage |
| remaining_seconds | check remaining time |
| check_begin_time | check begin time |
| check_end_time | check end time |
| error_message | error message |
### Example
- Query migration check status
```sql
SHOW MIGRATION CHECK STATUS 'j010180026753ef0e25d3932d94d1673ba551';
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/alter-migration-rule.en.md
=====================================================
+++
title = "ALTER MIGRATION RULE"
weight = 2
+++
### Description
The `ALTER MIGRATION RULE` syntax is used to alter migration rule.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
AlterMigrationRule ::=
'ALTER' 'MIGRATION' 'RULE' ('(' (readConfiguration ',')? (writeConfiguration ',')? (dataChannel)? ')')?
readConfiguration ::=
'READ' '(' ('WORKER_THREAD' '=' workerThreadPoolSize ',')? ('BATCH_SIZE' '=' batchSize ',')? ('SHARDING_SIZE' '=' shardingSize ',')? (rateLimiter)? ')'
writeConfiguration ::=
'WRITE' '(' ('WORKER_THREAD' '=' workerThreadPoolSize ',')? ('BATCH_SIZE' '=' batchSize ',')? ('SHARDING_SIZE' '=' shardingSize ',')? (rateLimiter)? ')'
dataChannel ::=
'STREAM_CHANNEL' '(' 'TYPE' '(' 'NAME' '=' algorithmName ',' propertiesDefinition ')' ')'
workerThreadPoolSize ::=
int
batchSize ::=
int
shardingSize ::=
int
rateLimiter ::=
'RATE_LIMITER' '(' 'TYPE' '(' 'NAME' '=' algorithmName ',' propertiesDefinition ')' ')'
algorithmName ::=
string
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
key ::=
string
value ::=
literal
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/commit-migration.cn.md
=====================================================
+++
title = "COMMIT MIGRATION"
weight = 16
+++
### 描述
`COMMIT MIGRATION` 语法用于完成指定的数据迁移作业。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
CommitMigration ::=
'COMMIT' 'MIGRATION' migrationJobId
migrationJobId ::=
string
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- `migrationJobId` 需要通过 [SHOW MIGRATION LIST](/cn/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-list/) 语法查询获得
### 示例
- 完成指定的数据迁移作业
```sql
COMMIT MIGRATION 'j010180026753ef0e25d3932d94d1673ba551';
```
### 保留字
`COMMIT`、`MIGRATION`
### 相关链接
- [保留字](/cn/user-manual/shardingsphere-proxy/distsql/syntax/reserved-word/)
- [SHOW MIGRATION LIST](/cn/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-list/)
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/stop-migration-check.en.md
=====================================================
+++
title = "STOP MIGRATION CHECK"
weight = 13
+++
### Description
The `STOP MIGRATION CHECK` syntax is used to stop migration check process.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
StopMigrationCheck ::=
'STOP' 'MIGRATION' 'CHECK' migrationJobId
migrationJobId ::=
string
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- `migrationJobId` needs to be obtained through [SHOW MIGRATION LIST](/en/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-list/) syntax query
### Example
- Stop migration check process
```sql
STOP MIGRATION CHECK 'j010180026753ef0e25d3932d94d1673ba551';
```
### Reserved word
`STOP`, `MIGRATION`, `CHECK`
### Related links
- [Reserved word](/en/user-manual/shardingsphere-proxy/distsql/syntax/reserved-word/)
- [SHOW MIGRATION LIST](/en/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-list/)
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/start-migration-check.cn.md
=====================================================
+++
title = "START MIGRATION CHECK"
weight = 12
+++
### 描述
`START MIGRATION CHECK` 语法用于开始指定数据迁移作业的数据校验。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
StartMigrationCheck ::=
'START' 'MIGRATION' 'CHECK' migrationJobId
migrationJobId ::=
string
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- `migrationJobId` 需要通过 [SHOW MIGRATION LIST](/cn/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-list/) 语法查询获得
### 示例
- 开始指定数据迁移作业的数据校验
```sql
START MIGRATION CHECK 'j010180026753ef0e25d3932d94d1673ba551';
```
### 保留字
`START`、`MIGRATION`、`CHECK`
### 相关链接
- [保留字](/cn/user-manual/shardingsphere-proxy/distsql/syntax/reserved-word/)
- [SHOW MIGRATION LIST](/cn/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-list/)
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/unregister-storage-unit.en.md
=====================================================
+++
title = "UNREGISTER MIGRATION SOURCE STORAGE UNIT"
weight = 4
+++
### Description
The `UNREGISTER MIGRATION SOURCE STORAGE UNIT` syntax is used to unregister migration source storage unit from the current connection
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
UnregisterMigrationSourceStorageUnit ::=
'UNREGISTER' 'MIGRATION' 'SOURCE' 'STORAGE' 'UNIT' storageUnitName (',' storageUnitName)*
storageUnitName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- `UNREGISTER MIGRATION SOURCE STORAGE UNIT` will only unregister storage unit in Proxy, the real data source corresponding to the storage unit will not be
dropped;
### Example
- Drop a migration source storage unit
```sql
UNREGISTER MIGRATION SOURCE STORAGE UNIT ds_0;
```
- Drop multiple migration source storage units
```sql
UNREGISTER MIGRATION SOURCE STORAGE UNIT ds_1, ds_2;
```
### Reserved word
`UNREGISTER`、`MIGRATION`、`SOURCE`、`STORAGE`、`UNIT`
### Related links
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/check-migration.cn.md
=====================================================
+++
title = "CHECK MIGRATION BY"
weight = 10
+++
### 描述
`CHECK MIGRATION BY` 语法用于校验数据迁移作业中的数据一致性。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowMigrationList ::=
'CHECK' 'MIGRATION' migrationJobId 'BY' 'TYPE' '(' 'NAME' '=' migrationCheckAlgorithmType ')'
migrationJobId ::=
string
migrationCheckAlgorithmType ::=
string
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- `migrationJobId` 需要通过 [SHOW MIGRATION LIST](/cn/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-list/) 语法查询获得
- `migrationCheckAlgorithmType` 需要通过 [SHOW MIGRATION CHECK ALGORITHMS](/cn/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-check-algorithm/) 语法查询获得
### 示例
- 校验数据迁移作业中数据一致性
```sql
CHECK MIGRATION 'j01016e501b498ed1bdb2c373a2e85e2529a6' BY TYPE (NAME='CRC32_MATCH');
```
### 保留字
`CHECK`、`MIGRATION`、`BY`、`TYPE`
### 相关链接
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/stop-migration.cn.md
=====================================================
+++
title = "STOP MIGRATION"
weight = 15
+++
### 描述
`STOP MIGRATION` 语法用于停止指定的数据迁移作业。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
StopMigration ::=
'STOP' 'MIGRATION' migrationJobId
migrationJobId ::=
string
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- `migrationJobId` 需要通过 [SHOW MIGRATION LIST](/cn/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-list/) 语法查询获得
### 示例
- 停止指定的数据迁移作业
```sql
STOP MIGRATION 'j010180026753ef0e25d3932d94d1673ba551';
```
### 保留字
`STOP`、`MIGRATION`
### 相关链接
- [保留字](/cn/user-manual/shardingsphere-proxy/distsql/syntax/reserved-word/)
- [SHOW MIGRATION LIST](/cn/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/show-migration-list/)
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/migration/unregister-storage-unit.cn.md
=====================================================
+++
title = "UNREGISTER MIGRATION SOURCE STORAGE UNIT"
weight = 4
+++
### 描述
`UNREGISTER MIGRATION SOURCE STORAGE UNIT` 语法用于从当前逻辑库中移除存储单元。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
UnregisterMigrationSourceStorageUnit ::=
'UNREGISTER' 'MIGRATION' 'SOURCE' 'STORAGE' 'UNIT' storageUnitName (',' storageUnitName)*
storageUnitName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- `UNREGISTER MIGRATION SOURCE STORAGE UNIT` 只会移除 Proxy 中的存储单元，不会删除与存储单元对应的真实数据源；
### 示例
- 移除数据迁移源存储单元
```sql
UNREGISTER MIGRATION SOURCE STORAGE UNIT ds_0;
```
- 移除多个数据迁移源存储单元
```sql
UNREGISTER MIGRATION SOURCE STORAGE UNIT ds_0, ds_1;
```
### 保留字
`UNREGISTER`、`MIGRATION`、`SOURCE`、`STORAGE`、`UNIT`
### 相关链接
- [保留字](/cn/user-manual/shardingsphere-proxy/distsql/syntax/reserved-word/)
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/show-dist-variable.en.md
=====================================================
+++
title = "SHOW DIST VARIABLE"
weight = 8
+++
### Description
The `SHOW DIST VARIABLE` syntax is used to query `PROXY` system variables configuration.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowDistVariable ::=
'SHOW' 'DIST' ('VARIABLES' ('LIKE' likePattern)?| 'VARIABLE' 'WHERE' 'NAME' '=' variableName)
likePattern ::=
string
variableName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Return Value Description
| Columns | Description |
|----------------|-----------------------|
| variable_name | system variable name |
| variable_value | system variable value |
### Supplement
- When `variableName` is not specified, the default is query all `PROXY` variables configuration.
### Example
- Query all system variables configuration of `PROXY`
```sql
SHOW DIST VARIABLES;
```
```sql
mysql> SHOW DIST VARIABLES;
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/circuit-breaker/unlabel-compute-node.en.md
=====================================================
+++
title = "UNLABEL COMPUTE NODES"
weight = 6
+++
### Description
The `UNLABEL COMPUTE NODES` syntax is used to remove specified label from `PROXY` instance.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
UnlabelComputeNode ::=
'UNLABEL' 'COMPUTE' 'NODE' instance_id 'WITH' labelName
instance_id ::=
string
labelName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- needs to be obtained through [SHOW COMPUTE NODES](/en/user-manual/shardingsphere-proxy/distsql/syntax/ral/circuit-breaker/show-compute-nodes/) syntax query
### Example
- Remove specified label from `PROXY` instance
```sql
UNLABEL COMPUTE NODE "0699e636-ade9-4681-b37a-65240c584bb3" WITH label_1;
```
### Reserved word
`UNLABEL`, `COMPUTE`, `NODES`, `WITH`
### Related links
- [Reserved word](/en/user-manual/shardingsphere-proxy/distsql/syntax/reserved-word/)
- [SHOW COMPUTE NODES](/en/user-manual/shardingsphere-proxy/distsql/syntax/ral/circuit-breaker/show-compute-nodes/)
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/circuit-breaker/unlabel-compute-node.cn.md
=====================================================
+++
title = "UNLABEL COMPUTE NODE"
weight = 6
+++
### 描述
`UNLABEL COMPUTE NODE` 语法用于为 `PROXY` 实例去除指定标签。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
UnlabelComputeNode ::=
'UNLABEL' 'COMPUTE' 'NODE' instance_id 'WITH' labelName
instance_id ::=
string
labelName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- `instance_id` 需要通过 [SHOW COMPUTE NODES](/cn/user-manual/shardingsphere-proxy/distsql/syntax/ral/circuit-breaker/show-compute-nodes/) 语法查询获得
### 示例
- 为 `PROXY` 实例去除指定标签
```sql
UNLABEL COMPUTE NODE "0699e636-ade9-4681-b37a-65240c584bb3" WITH label_1;
```
### 保留字
`UNLABEL`、`COMPUTE`、`NODE`、`WITH`
### 相关链接
- [保留字](/cn/user-manual/shardingsphere-proxy/distsql/syntax/reserved-word/)
- [SHOW COMPUTE NODES](/cn/user-manual/shardingsphere-proxy/distsql/syntax/ral/circuit-breaker/show-compute-nodes/)
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/circuit-breaker/label-relabel-compute-node.cn.md
=====================================================
+++
title = "LABEL|RELABEL COMPUTE NODE"
weight = 5
+++
### 描述
`LABEL|RELABEL COMPUTE NODE` 语法用于为 `PROXY` 实例添加标签。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
LableRelabelComputeNodes ::=
('LABEL' | 'RELABEL') 'COMPUTE' 'NODE' instance_id 'WITH' labelName
instance_id ::=
string
labelName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- `instance_id` 需要通过 [SHOW COMPUTE NODES](/cn/user-manual/shardingsphere-proxy/distsql/syntax/ral/circuit-breaker/show-compute-nodes/) 语法查询获得
- `RELABEL` 用于为 `PROXY` 实例修改标签
### 示例
- 为 `PROXY` 实例添加标签
```sql
LABEL COMPUTE NODE "0699e636-ade9-4681-b37a-65240c584bb3" WITH label_1;
```
- 为 `PROXY` 实例修改标签
```sql
RELABEL COMPUTE NODE "0699e636-ade9-4681-b37a-65240c584bb3" WITH label_2;
```
### 保留字
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/circuit-breaker/show-status-from-readwrite-splitting-rule.cn.md
=====================================================
+++
title = "SHOW STATUS FROM READWRITE_SPLITTING RULE"
weight = 2
+++
### 描述
`SHOW STATUS FROM READWRITE_SPLITTING RULE` 语法用于查询指定逻辑库中指定读写分离规则中读写分离存储单元状态。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowStatusFromReadwriteSplittingRule ::=
'SHOW' 'STATUS' 'FROM' 'READWRITE_SPLITTING' ('RULES' | 'RULE' groupName) ('FROM' databaseName)?
groupName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE`。 如果也未使用 `DATABASE` 则会提示 `No database selected`。
### 返回值说明
| 列 | 说明 |
|----------------|--------|
| storage_unit | 存储单元名称 |
| status | 存储单元状态 |
### 示例
- 查询指定逻辑库中指定读写分离规则中读写分离存储单元状态
```sql
SHOW STATUS FROM READWRITE_SPLITTING RULE ms_group_0 FROM sharding_db;
```
```sql
mysql> SHOW STATUS FROM READWRITE_SPLITTING RULE ms_group_0 FROM sharding_db;
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/circuit-breaker/label-relabel-compute-node.en.md
=====================================================
+++
title = "LABEL|RELABEL COMPUTE NODES"
weight = 5
+++
### Description
The `LABEL|RELABEL COMPUTE NODES` syntax is used to label `PROXY` instance.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
LableRelabelComputeNodes ::=
('LABEL' | 'RELABEL') 'COMPUTE' 'NODE' instance_id 'WITH' labelName
instance_id ::=
string
labelName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- needs to be obtained through [SHOW COMPUTE NODES](/en/user-manual/shardingsphere-proxy/distsql/syntax/ral/circuit-breaker/show-compute-nodes/) syntax query
- `RELABEL` is used to relabel `PROXY` instance
### Example
- Label `PROXY` instance
```sql
LABEL COMPUTE NODE "0699e636-ade9-4681-b37a-65240c584bb3" WITH label_1;
```
- Relabel `PROXY` instance
```sql
RELABEL COMPUTE NODE "0699e636-ade9-4681-b37a-65240c584bb3" WITH label_2;
```
### Reserved word
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/circuit-breaker/alter-readwrite-splitting-rule-enable-disable.en.md
=====================================================
+++
title = "ALTER READWRITE_SPLITTING RULE ENABLE/DISABLE"
weight = 1
+++
## Description
The `ALTER READWRITE_SPLITTING RULE ENABLE/DISABLE` syntax is used enable/disable a specified read source for specified readwrite-splitting rule.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
AlterReadwriteSplittingRule ::=
'ALTER' 'READWRITE_SPLITTING' 'RULE' groupName ('ENABLE' | 'DISABLE') storageUnitName 'FROM' databaseName
groupName ::=
identifier
storageUnitName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted.
### Example
- Disable a specified read source for specified readwrite-splitting rule in specified database
```sql
ALTER READWRITE_SPLITTING RULE ms_group_0 DISABLE read_ds_0 FROM sharding_db;
```
- Enable a specified read source for specified readwrite-splitting rule in specified database
```sql
ALTER READWRITE_SPLITTING RULE ms_group_0 ENABLE read_ds_0 FROM sharding_db;
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/circuit-breaker/_index.en.md
=====================================================
+++
title = "CIRCUIT BREAKER"
weight = 2
chapter = true
+++
This chapter describes the syntax of Circuit Breaker.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/circuit-breaker/enable-disable-compute-node.cn.md
=====================================================
+++
title = "ENABLE/DISABLE COMPUTE NODE"
weight = 4
+++
## 描述
`ENABLE/DISABLE COMPUTE NODE` 语法用于启用/禁用指定 proxy 实例。
### 语法定义
{{< tabs >}}
{{% tab name="语法" %}}
```sql
EnableDisableComputeNode ::=
('ENABLE' | 'DISABLE') 'COMPUTE' 'NODE' instanceId
instanceId ::=
string
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- `instanceId` 需要通过 [SHOW COMPUTE NODES](/cn/user-manual/shardingsphere-proxy/distsql/syntax/ral/circuit-breaker/show-compute-nodes/) 语法查询得到
- 不可禁用当前正在使用的 proxy 实例
### 示例
- 禁用指定 proxy 实例
```sql
DISABLE COMPUTE NODE '734bb086-b15d-4af0-be87-2372d8b6a0cd';
```
- 启用指定 proxy 实例
```sql
ENABLE COMPUTE NODE '734bb086-b15d-4af0-be87-2372d8b6a0cd';
```
### 保留字
`ENABLE`、`DISABLE`、`COMPUTE`、`NODE`
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/circuit-breaker/show-compute-nodes.cn.md
=====================================================
+++
title = "SHOW COMPUTE NODES"
weight = 3
+++
### 描述
`SHOW COMPUTE NODES` 语法用于查询计算节点信息。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowComputeNodes ::=
'SHOW' 'COMPUTE' 'NODES'
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 返回值说明
| 列 | 说明 |
|---------------|-----------|
| instance_id | 实例 id |
| instance_type | 实例类型 |
| host | 主机地址 |
| port | 端口号 |
| status | 实例状态 |
| mode_type | 模式类型 |
| worker_id | worker id |
| labels | 标签 |
| version | 版本 |
### 示例
```sql
mysql> SHOW COMPUTE NODES;
+--------------------------------------+---------------+------------+------+--------+------------+-----------+--------+----------+
| instance_id | instance_type | host | port | status | mode_type | worker_id | labels | version |
+--------------------------------------+---------------+------------+------+--------+------------+-----------+--------+----------+
| 3e84d33e-cb97-42f2-b6ce-f78fea0ded89 | PROXY | 127.0.0.1 | 3307 | OK | Cluster | -1 | | 5.4.2 |
+--------------------------------------+---------------+------------+------+--------+------------+-----------+--------+----------+
1 row in set (0.01 sec)
```
### 保留字
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/circuit-breaker/show-compute-nodes.en.md
=====================================================
+++
title = "SHOW COMPUTE NODES"
weight = 3
+++
### Description
The `SHOW COMPUTE NODES` syntax is used to query compute nodes information.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowComputeNodes ::=
'SHOW' 'COMPUTE' 'NODES'
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Return Value Description
| Columns | Description |
|---------------|---------------|
| instance_id | instance id |
| instance_type | instance type |
| host | host |
| port | port |
| status | status |
| mode_type | mode type |
| worker_id | worker id |
| labels | labels |
| version | version |
### Example
```sql
mysql> SHOW COMPUTE NODES;
+--------------------------------------+---------------+------------+------+--------+------------+-----------+--------+----------+
| instance_id | instance_type | host | port | status | mode_type | worker_id | labels | version |
+--------------------------------------+---------------+------------+------+--------+------------+-----------+--------+----------+
| 3e84d33e-cb97-42f2-b6ce-f78fea0ded89 | PROXY | 127.0.0.1 | 3307 | OK | Cluster | -1 | | 5.4.2 |
+--------------------------------------+---------------+------------+------+--------+------------+-----------+--------+----------+
1 row in set (0.01 sec)
```
### Dedicated Terminology
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/circuit-breaker/show-status-from-readwrite-splitting-rule.en.md
=====================================================
+++
title = "SHOW STATUS FROM READWRITE_SPLITTING RULE"
weight = 2
+++
### Description
The `SHOW STATUS FROM READWRITE_SPLITTING RULE` syntax is used to query readwrite-splitting storage unit status for specified readwrite-splitting rule in specified database.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowStatusFromReadwriteSplittingRule ::=
'SHOW' 'STATUS' 'FROM' 'READWRITE_SPLITTING' ('RULES' | 'RULE' groupName) ('FROM' databaseName)?
groupName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `databaseName` is not specified, the default is the currently used `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted.
### Return Value Description
| Columns | Description |
|----------------|---------------------|
| storage_unit | storage unit name |
| status | storage unit status |
### Example
- Query readwrite-splitting storage unit status for specified readwrite-splitting rule in specified database.
```sql
SHOW STATUS FROM READWRITE_SPLITTING RULE ms_group_0 FROM sharding_db;
```
```sql
mysql> SHOW STATUS FROM READWRITE_SPLITTING RULE ms_group_0 FROM sharding_db;
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/circuit-breaker/enable-disable-compute-node.en.md
=====================================================
+++
title = "ENABLE/DISABLE COMPUTE NODE"
weight = 4
+++
## Description
The `ENABLE/DISABLE COMPUTE NODE` syntax is used enable/disable a specified proxy instance
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
EnableDisableComputeNode ::=
('ENABLE' | 'DISABLE') 'COMPUTE' 'NODE' instanceId
instanceId ::=
string
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- `instanceId` needs to be obtained through [SHOW COMPUTE NODES](/en/user-manual/shardingsphere-proxy/distsql/syntax/ral/circuit-breaker/show-compute-nodes/) syntax query
- The currently in-use proxy instance cannot be disabled
### Example
- Disable a specified proxy instance
```sql
DISABLE COMPUTE NODE '734bb086-b15d-4af0-be87-2372d8b6a0cd';
```
- Enable a specified proxy instance
```sql
ENABLE COMPUTE NODE '734bb086-b15d-4af0-be87-2372d8b6a0cd';
```
### Reserved word
`ENABLE`, `DISABLE`, `COMPUTE`, `NODE`
### Related links
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/convert-yaml-configuration.en.md
=====================================================
+++
title = "CONVERT YAML CONFIGURATION"
weight = 15
+++
### Description
The `CONVERT YAML CONFIGURATION` syntax is used to convert `YAML` configuration to DistSQL RDL statements.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
convertYamlConfiguration ::=
'CONVERT' 'YAML' 'CONFIGURATION' 'FROM' 'FILE' filePath
filePath ::=
string
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- The `CONVERT YAML CONFIGURATION` syntax only reads the YAML file and converts the configuration into DistSQL statements without affecting the current metadata;
- When `dataSources` in YAML is empty, `rules` conversion will not be performed.
### Example
```sql
mysql> CONVERT YAML CONFIGURATION FROM FILE '/xxx/config_sharding_db.yaml';
+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| dist_sql |
+--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| CREATE DATABASE sharding_db;
USE sharding_db;
REGISTER STORAGE UNIT ds_0 (
URL='jdbc:mysql://127.0.0.1:3306/demo_ds_0?serverTimezone=UTC&useSSL=false&allowPublicKeyRetrieval=true',
USER='root',
PASSWORD='123456',
PROPERTIES('maxPoolSize'='10')
), ds_1 (
URL='jdbc:mysql://127.0.0.1:3306/demo_ds_1?serverTimezone=UTC&useSSL=false&allowPublicKeyRetrieval=true',
USER='root',
PASSWORD='123456',
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/show-dist-variable.cn.md
=====================================================
+++
title = "SHOW DIST VARIABLE"
weight = 8
+++
### 描述
`SHOW DIST VARIABLE` 语法用于查询 `PROXY` 系统变量配置。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowDistVariable ::=
'SHOW' 'DIST' ('VARIABLES' ('LIKE' likePattern)?| 'VARIABLE' 'WHERE' 'NAME' '=' variableName)
likePattern ::=
string
variableName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 返回值说明
| 列 | 说明 |
|----------------|--------|
| variable_name | 系统变量名称 |
| variable_value | 系统变量值 |
### 补充说明
- 未指定 `vairableName` 时，默认查询所有 `PROXY` 系统变量配置
### 示例
- 查询所有 `PROXY` 系统变量配置
```sql
SHOW DIST VARIABLES;
```
```sql
mysql> SHOW DIST VARIABLES;
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/export-database-configuration.cn.md
=====================================================
+++
title = "EXPORT DATABASE CONFIGURATION"
weight = 13
+++
### 描述
`EXPORT DATABASE CONFIGURATION` 语法用于将逻辑库中的存储单元和规则配置导出为 `YAML` 格式。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ExportDatabaseConfiguration ::=
'EXPORT' 'DATABASE' 'CONFIGURATION' ('FROM' databaseName)? ('TO' 'FILE' filePath)?
databaseName ::=
identifier
filePath ::=
string
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，导出当前使用的逻辑库；如果也未使用逻辑库则提示 `No database selected`；
- 未指定 `filePath` 时，会将导出的信息通过结果集输出；
- 指定 `filePath` 时，会自动创建文件，若文件已存在，会被覆盖。
### 示例
- 导出当前逻辑库的配置信息
```sql
mysql> EXPORT DATABASE CONFIGURATION;
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| result |
+-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| databaseName: sharding_db
dataSources:
ds_1:
password: 123456
url: jdbc:mysql://127.0.0.1:3306/db0
username: root
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/refresh-table-metadata.en.md
=====================================================
+++
title = "REFRESH TABLE METADATA"
weight = 9
+++
### Description
The `REFRESH TABLE METADATA` syntax is used to refresh table metadata.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
RefreshTableMetadata ::=
'REFRESH' 'TABLE' 'METADATA' (tableName | tableName 'FROM' 'STORAGE' 'UNIT' storageUnitName ('SCHEMA' schemaName)?)?
tableName ::=
identifier
storageUnitName ::=
identifier
schemaName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `tableName` and `storageUnitName` is not specified, the default is to refresh all table metadata.
- refresh table metadata need to use `DATABASE`. If `DATABASE` is not used, `No database selected` will be prompted.
- If there are no tables in the schema, the schema will be deleted.
### Example
- Refresh specified table's metadata in specified schema of a specified storage unit
```sql
REFRESH TABLE METADATA t_order FROM STORAGE UNIT ds_1 SCHEMA db_schema;
```
- Refresh all tables' metadata in specified schema of a specified storage unit
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/_index.en.md
=====================================================
+++
title = "RAL Syntax"
weight = 3
chapter = true
+++
RAL (Resource & Rule Administration Language) responsible for the added-on feature of transaction type switch, scaling and so on.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/set-dist-vairable.en.md
=====================================================
+++
title = "SET DIST VARIABLE"
weight = 7
+++
### Description
The `SET DIST VARIABLE` syntax is used to set system variables.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
SetDistVariable ::=
'SET' 'DIST' 'VARIABLE' (proxyPropertyName '=' proxyPropertyValue | 'agent_plugins_enabled' '=' agentPluginsEnabled)
proxyPropertyName ::=
identifier
proxyPropertyValue ::=
literal
agentPluginsEnabled ::=
boolean
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- `proxy_property_name` is one of [properties configuration](/en/user-manual/shardingsphere-proxy/yaml-config/props/) of `PROXY`, name is split by underscore
- `agent_plugins_enabled` is use to set the `agent` plugins enable status, the default value is `FALSE`
- `system_log_level` is the system log level, only affects the log printing of `PROXY`, the default value is `INFO`
### Example
- Set property configuration of `Proxy`
```sql
SET DIST VARIABLE sql_show = true;
```
- Set `agent` plugin enable status
```sql
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/import-database-configuration.en.md
=====================================================
+++
title = "IMPORT DATABASE CONFIGURATION"
weight = 14
+++
### Description
The `IMPORT DATABASE CONFIGURATION` syntax is used to import a database from the configuration in `YAML`.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ExportDatabaseConfiguration ::=
'IMPORT' 'DATABASE' 'CONFIGURATION' 'FROM' 'FILE' filePath
filePath ::=
string
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When a database with the same name already exists in the metadata, it cannot be imported;
- When `databaseName` in YAML is empty, it cannot be imported;
- When `dataSources` in YAML is empty, only empty database will be imported.
### Example
```sql
IMPORT DATABASE CONFIGURATION FROM FILE "/xxx/config_sharding_db.yaml";
```
### Reserved word
`IMPORT`, `DATABASE`, `CONFIGURATION`, `FROM`, `FILE`
### Related links
- [Reserved word](/en/user-manual/shardingsphere-proxy/distsql/syntax/reserved-word/)
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/show-rules-used-storage-unit.cn.md
=====================================================
+++
title = "SHOW RULES USED STORAGE UNIT"
weight = 12
+++
### 描述
`SHOW RULES USED STORAGE UNIT` 语法用于查询指定逻辑库中使用指定存储单元的规则。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowRulesUsedStorageUnit ::=
'SHOW' 'RULES' 'USED' 'STORAGE' 'UNIT' storageUnitName ('FROM' databaseName)?
storageUnitName ::=
identifier
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 返回值说明
| 列 | 说明 |
|------|------|
| type | 规则类型 |
| name | 规则名称 |
### 补充说明
- 未指定 `databaseName` 时，默认是当前使用的 `DATABASE。` 如果也未使用 `DATABASE` 则会提示 `No database selected`。
### 示例
- 查询指定逻辑库中使用指定存储单元的规则
```sql
SHOW RULES USED STORAGE UNIT ds_1 FROM sharding_db;
```
```sql
mysql> SHOW RULES USED STORAGE UNIT ds_1 FROM sharding_db;
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/refresh-database-metadata.cn.md
=====================================================
+++
title = "REFRESH DATABASE METADATA"
weight = 10
+++
### 描述
`REFRESH DATABASE METADATA` 语法用于刷新本地逻辑库元数据。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
RefreshDatabaseMetadata ::=
'FORCE'? 'REFRESH' 'DATABASE' 'METADATA' databaseName?
databaseName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `databaseName` 时，默认刷新所有逻辑库的元数据
- 刷新元数据使用 `FORCE` 时，将会从本地获取最新元数据，并写入到治理中心，未开启 `FORCE` 则会从治理中心拉取最新配置
### 示例
- 刷新指定逻辑库的元数据
```sql
REFRESH DATABASE METADATA sharding_db;
```
- 刷新所有逻辑库的元数据
```sql
REFRESH DATABASE METADATA;
```
- 强制刷新所有逻辑库的元数据
```sql
FORCE REFRESH DATABASE METADATA;
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/global-rule/alter-traffic-rule.en.md
=====================================================
+++
title = "ALTER TRAFFIC RULE"
weight = 7
+++
### Description
The `ALTER TRAFFIC RULE` syntax is used to alter dual routing rule.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
AlterTrafficRule ::=
'ALTER' 'TRAFFIC' 'RULE' '(' 'LABELS' '(' lableName ')' ',' trafficAlgorithmDefinition ',' loadBalancerDefinition ')'
lableName ::=
identifier
trafficAlgorithmDefinition ::=
'TRAFFIC_ALGORITHM' '(' 'TYPE' '(' 'NAME' '=' trafficAlgorithmTypeName (',' propertiesDefinition)? ')' ')'
loadBalancerDefinition ::=
'LOAD_BALANCER' '(' 'TYPE' '(' 'NAME' '=' loadBalancerName (',' propertiesDefinition)? ')' ')'
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
trafficAlgorithmTypeName ::=
string
loadBalancerTypeName ::=
string
key ::=
string
value ::=
literal
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- `TRAFFIC_ALGORITHM` support `SQL_MATCH` and `SQL_HINT` two types;
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/global-rule/show-authority-rule.en.md
=====================================================
+++
title = "SHOW AUTHORITY RULE"
weight = 1
+++
### Description
The `SHOW AUTHORITY RULE` syntax is used to query authority rule configuration.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowAuthorityRule ::=
'SHOW' 'AUTHORITY' 'RULE'
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Return Value Description
| Column | Description |
|-------------|-------------------------|
| users | users |
| provider | privilege provider type |
| props | privilege properties |
### Example
- Query authority rule configuration
```sql
SHOW AUTHORITY RULE;
```
```sql
mysql> SHOW AUTHORITY RULE;
+--------------------+---------------+-------+
| users | provider | props |
+--------------------+---------------+-------+
| root@%; sharding@% | ALL_PERMITTED | |
+--------------------+---------------+-------+
1 row in set (0.07 sec)
```
### Reserved word
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/global-rule/alter-sql-federation-rule.en.md
=====================================================
+++
title = "ALTER SQL_FEDERATION RULE"
weight = 9
+++
### Description
The `ALTER SQL_FEDERATION RULE` syntax is used to modify the federated query configuration.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
AlterSQLFederationRule ::=
'ALTER' 'SQL_FEDERATION' 'RULE' sqlFederationRuleDefinition
sqlFederationRuleDefinition ::=
'(' sqlFederationEnabled? allQueryUseSQLFederation? (','? executionPlanCache)? ')'
sqlFederationEnabled ::=
'SQL_FEDERATION_ENABLED' '=' boolean_
allQueryUseSQLFederation ::=
'ALL_QUERY_USE_SQL_FEDERATION' '=' boolean_
executionPlanCache ::=
'EXECUTION_PLAN_CACHE' '(' cacheOption ')'
cacheOption ::=
('INITIAL_CAPACITY' '=' initialCapacity)? (',' 'MAXIMUM_SIZE' '=' maximumSize)?
initialCapacity ::=
int
maximumSize ::=
int
boolean_ ::=
TRUE | FALSE
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Example
- Alter SQL Federation rule
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/global-rule/alter-sql-parser-rule.en.md
=====================================================
+++
title = "Alter SQL_PARSER Rule"
weight = 5
+++
### Description
The `ALTER SQL_PARSER RULE` syntax is used to alter the SQL parser rule configuration.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
AlterSqlParserRule ::=
'ALTER' 'SQL_PARSER' 'RULE' '(' sqlParserRuleDefinition ')'
sqlParserRuleDefinition ::=
parseTreeCacheDefinition? (',' sqlStatementCacheDefinition)?
parseTreeCacheDefinition ::=
'PARSE_TREE_CACHE' '(' cacheOption ')'
sqlStatementCacheDefinition ::=
'SQL_STATEMENT_CACHE' '(' cacheOption ')'
cacheOption ::=
('INITIAL_CAPACITY' '=' initialCapacity)? (','? 'MAXIMUM_SIZE' '=' maximumSize)?
initialCapacity ::=
int
maximumSize ::=
int
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Note
- `PARSE_TREE_CACHE`: local cache configuration of the syntax tree.
- `SQL_STATEMENT_CACHE`: the local cache of SQL statement.
### Example
- Alter SQL parser rule
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/global-rule/show-sql-federation-rule.cn.md
=====================================================
+++
title = "SHOW SQL_FEDERATION RULE"
weight = 8
+++
### 描述
`SHOW SQL_FEDERATION RULE` 语法用于查询联邦查询配置。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowSQLFederationRule ::=
'SHOW' 'SQL_FEDERATION' 'RULE'
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 返回值说明
| 列 | 说明 |
|----------|-------------------|
| sql_federation_enabled | 是否开启联邦查询 |
| all_query_use_sql_federation | 是否全部查询 SQL 使用联邦查询 |
| execution_plan_cache | 执行计划缓存 |
### 示例
- 查询联邦查询配置
```sql
SHOW SQL_FEDERATION RULE;
```
```sql
mysql> show sql_federation rule;
+------------------------+------------------------------+-------------------------------------------+
| sql_federation_enabled | all_query_use_sql_federation | execution_plan_cache |
+------------------------+------------------------------+-------------------------------------------+
| true | false | initialCapacity: 2000, maximumSize: 65535 |
+------------------------+------------------------------+-------------------------------------------+
1 row in set (0.31 sec)
```
### 保留字
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/global-rule/show-authority-rule.cn.md
=====================================================
+++
title = "SHOW AUTHORITY RULE"
weight = 1
+++
### 描述
`SHOW AUTHORITY RULE` 语法用于查询权限规则配置。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowAuthorityRule ::=
'SHOW' 'AUTHORITY' 'RULE'
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 返回值说明
| 列 | 说明 |
|----------|---------|
| users | 用户 |
| provider | 权限提供者类型 |
| props | 权限参数 |
### 示例
- 查询权限规则配置
```sql
SHOW AUTHORITY RULE;
```
```sql
mysql> SHOW AUTHORITY RULE;
+--------------------+---------------+-------+
| users | provider | props |
+--------------------+---------------+-------+
| root@%; sharding@% | ALL_PERMITTED | |
+--------------------+---------------+-------+
1 row in set (0.07 sec)
```
### 保留字
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/global-rule/alter-transaction-rule.en.md
=====================================================
+++
title = "ALTER TRANSACTION RULE"
weight = 3
+++
### Description
The `ALTER TRANSACTION RULE` syntax is used to alter transaction rule configuration.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
AlterTransactionRule ::=
'ALTER' 'TRANSACTION' 'RULE' '(' 'DEFAULT' '=' defaultTransactionType ',' 'TYPE' '(' 'NAME' '=' transactionManager ',' propertiesDefinition ')' ')'
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
defaultTransactionType ::=
string
transactionManager ::=
string
key ::=
string
value ::=
literal
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- `defaultTransactionType` support `LOCAL`, `XA`, `BASE`
- `transactionManager` support `Atomikos` and `Narayana`
### Example
- Alter transaction rule
```sql
ALTER TRANSACTION RULE(
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/global-rule/show-transaction-rule.cn.md
=====================================================
+++
title = "SHOW TRANSACTION RULE"
weight = 2
+++
### 描述
`SHOW TRANSACTION RULE` 语法用于查询事务规则配置。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowTransactionRule ::=
'SHOW' 'TRANSACTION' 'RULE'
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 返回值说明
| 列 | 说明 |
|---------------|---------|
| default_type | 默认事务类型 |
| provider_type | 事务提供者类型 |
| props | 事务参数 |
### 示例
- 查询事务规则配置
```sql
SHOW TRANSACTION RULE;
```
```sql
mysql> SHOW TRANSACTION RULE;
+--------------+---------------+-------+
| default_type | provider_type | props |
+--------------+---------------+-------+
| LOCAL | | |
+--------------+---------------+-------+
1 row in set (0.05 sec)
```
### 保留字
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/global-rule/show-sql-parser-rule.en.md
=====================================================
+++
title = "SHOW SQL_PARSER RULE"
weight = 4
+++
### Description
The `SHOW SQL_PARSER RULE` syntax is used to query sql parser rule configuration.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowSqlParserRule ::=
'SHOW' 'SQL_PARSER' 'RULE'
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Return Value Description
| Column | Description |
|---------------------------|-----------------------------------|
| parse_tree_cache | parse tree cache configuration |
| sql_statement_cache | SQL statement cache configuration |
### Example
- Query sql parser rule configuration
```sql
SHOW SQL_PARSER RULE;
```
```sql
mysql> SHOW SQL_PARSER RULE;
+-----------------------------------------+-------------------------------------------+
| parse_tree_cache | sql_statement_cache |
+-----------------------------------------+-------------------------------------------+
| initialCapacity: 128, maximumSize: 1024 | initialCapacity: 2000, maximumSize: 65535 |
+-----------------------------------------+-------------------------------------------+
1 row in set (0.05 sec)
```
### Reserved word
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/global-rule/show-traffic-rule.cn.md
=====================================================
+++
title = "SHOW TRAFFIC RULE"
weight = 6
+++
### 描述
`SHOW TRAFFIC RULE` 语法用于查询指定的双路由规则。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowTrafficRule ::=
'SHOW' 'TRAFFIC' ('RULES' | 'RULE' ruleName)?
ruleName ::=
identifier
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- 未指定 `ruleName` 时，默认查询所有双路由规则
### 返回值说明
| 列 | 说明 |
|---------------------|---------|
| name | 双路由规则名称 |
| labels | 计算节点标签 |
| algorithm_type | 双路由算法类型 |
| algorithm_props | 双路由算法参数 |
| load_balancer_type | 负载均衡器类型 |
| load_balancer_props | 负载均衡器参数 |
### 示例
- 查询指定双路由规则
```sql
SHOW TRAFFIC RULE sql_match_traffic;
```
```sql
mysql> SHOW TRAFFIC RULE sql_match_traffic;
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/global-rule/alter-traffic-rule.cn.md
=====================================================
+++
title = "ALTER TRAFFIC RULE"
weight = 7
+++
## 描述
`ALTER TRAFFIC RULE` 语法用于修改双路由规则。
### 语法定义
{{< tabs >}}
{{% tab name="语法" %}}
```sql
AlterTrafficRule ::=
'ALTER' 'TRAFFIC' 'RULE' '(' 'LABELS' '(' lableName ')' ',' trafficAlgorithmDefinition ',' loadBalancerDefinition ')'
lableName ::=
identifier
trafficAlgorithmDefinition ::=
'TRAFFIC_ALGORITHM' '(' 'TYPE' '(' 'NAME' '=' trafficAlgorithmTypeName (',' propertiesDefinition)? ')' ')'
loadBalancerDefinition ::=
'LOAD_BALANCER' '(' 'TYPE' '(' 'NAME' '=' loadBalancerName (',' propertiesDefinition)? ')' ')'
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
trafficAlgorithmTypeName ::=
string
loadBalancerTypeName ::=
string
key ::=
string
value ::=
literal
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- `TRAFFIC_ALGORITHM` 支持 `SQL_MATCH` 与 `SQL_HINT` 两种类型
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/global-rule/show-transaction-rule.en.md
=====================================================
+++
title = "SHOW TRANSACTION RULE"
weight = 2
+++
### Description
The `SHOW TRANSACTION RULE` syntax is used to query transaction rule configuration.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowTransactionRule ::=
'SHOW' 'TRANSACTION' 'RULE'
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Return Value Description
| Column | Description |
|----------|-------------------------|
| users | users |
| provider | privilege provider type |
| props | privilege properties |
### Example
- Query transaction rule configuration
```sql
SHOW TRANSACTION RULE;
```
```sql
mysql> SHOW TRANSACTION RULE;
+--------------+---------------+-------+
| default_type | provider_type | props |
+--------------+---------------+-------+
| LOCAL | | |
+--------------+---------------+-------+
1 row in set (0.05 sec)
```
### Reserved word
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/global-rule/alter-sql-parser-rule.cn.md
=====================================================
+++
title = "ALTER SQL_PARSER RULE"
weight = 5
+++
### 描述
`ALTER SQL_PARSER RULE` 语法用于修改解析引擎规则配置。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
AlterSqlParserRule ::=
'ALTER' 'SQL_PARSER' 'RULE' '(' sqlParserRuleDefinition ')'
sqlParserRuleDefinition ::=
parseTreeCacheDefinition? (',' sqlStatementCacheDefinition)?
parseTreeCacheDefinition ::=
'PARSE_TREE_CACHE' '(' cacheOption ')'
sqlStatementCacheDefinition ::=
'SQL_STATEMENT_CACHE' '(' cacheOption ')'
cacheOption ::=
('INITIAL_CAPACITY' '=' initialCapacity)? (','? 'MAXIMUM_SIZE' '=' maximumSize)?
initialCapacity ::=
int
maximumSize ::=
int
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- `PARSE_TREE_CACHE`：语法树本地缓存配置
- `SQL_STATEMENT_CACHE`：SQL 语句本地缓存配置项
### 示例
- 修改 SQL 解析引擎规则
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/global-rule/show-traffic-rule.en.md
=====================================================
+++
title = "SHOW TRAFFIC RULE"
weight = 6
+++
### Description
The `SHOW TRAFFIC RULE` syntax is used to query specified dual routing rule.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowTrafficRule ::=
'SHOW' 'TRAFFIC' ('RULES' | 'RULE' ruleName)?
ruleName ::=
identifier
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Supplement
- When `ruleName` not specified, the default is show all traffic rules
### Return Value Description
| Column | Description |
|---------------------|------------------------------|
| name | traffic rule name |
| labels | compute node labels |
| algorithm_type | traffic algorithm type |
| algorithm_props | traffic algorithn properties |
| load_balancer_type | load balancer type |
| load_balancer_props | load balancer properties |
### Example
- Query specified traffic rule
```sql
SHOW TRAFFIC RULE sql_match_traffic;
```
```sql
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/global-rule/_index.en.md
=====================================================
+++
title = "GLOBAL RULE"
weight = 1
chapter = true
+++
This chapter describes the syntax of Global Rule.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/global-rule/show-sql-parser-rule.cn.md
=====================================================
+++
title = "SHOW SQL_PARSER RULE"
weight = 4
+++
### 描述
`SHOW SQL_PARSER RULE` 语法用于查询解析引擎规则配置。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowSqlParserRule ::=
'SHOW' 'SQL_PARSER' 'RULE'
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 返回值说明
| 列 | 说明 |
|---------------------------|--------------------|
| parse_tree_cache | 语法树缓存 |
| sql_statement_cache | SQL 语句缓存 |
### 示例
- 查询解析引擎规则配置
```sql
SHOW SQL_PARSER RULE;
```
```sql
mysql> SHOW SQL_PARSER RULE;
+-----------------------------------------+-------------------------------------------+
| parse_tree_cache | sql_statement_cache |
+-----------------------------------------+-------------------------------------------+
| initialCapacity: 128, maximumSize: 1024 | initialCapacity: 2000, maximumSize: 65535 |
+-----------------------------------------+-------------------------------------------+
1 row in set (0.05 sec)
```
### 保留字
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/global-rule/alter-transaction-rule.cn.md
=====================================================
+++
title = "ALTER TRANSACTION RULE"
weight = 3
+++
### 描述
`ALTER TRANSACTION RULE` 语法用于修改事务规则。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
AlterTransactionRule ::=
'ALTER' 'TRANSACTION' 'RULE' '(' 'DEFAULT' '=' defaultTransactionType ',' 'TYPE' '(' 'NAME' '=' transactionManager ',' propertiesDefinition ')' ')'
propertiesDefinition ::=
'PROPERTIES' '(' key '=' value (',' key '=' value)* ')'
defaultTransactionType ::=
string
transactionManager ::=
string
key ::=
string
value ::=
literal
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 补充说明
- `defaultTransactionType` 支持 `LOCAL`、`XA`、`BASE`
- `transactionManager` 支持 `Atomikos` 和 `Narayana`
### 示例
- 修改事务规则配置
```sql
ALTER TRANSACTION RULE(
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/global-rule/alter-sql-federation-rule.cn.md
=====================================================
+++
title = "ALTER SQL_FEDERATION RULE"
weight = 9
+++
### 描述
`ALTER SQL_FEDERATION RULE` 语法用于修改联邦查询配置。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
AlterSQLFederationRule ::=
'ALTER' 'SQL_FEDERATION' 'RULE' sqlFederationRuleDefinition
sqlFederationRuleDefinition ::=
'(' sqlFederationEnabled? allQueryUseSQLFederation? (','? executionPlanCache)? ')'
sqlFederationEnabled ::=
'SQL_FEDERATION_ENABLED' '=' boolean_
allQueryUseSQLFederation ::=
'ALL_QUERY_USE_SQL_FEDERATION' '=' boolean_
executionPlanCache ::=
'EXECUTION_PLAN_CACHE' '(' cacheOption ')'
cacheOption ::=
('INITIAL_CAPACITY' '=' initialCapacity)? (',' 'MAXIMUM_SIZE' '=' maximumSize)?
initialCapacity ::=
int
maximumSize ::=
int
boolean_ ::=
TRUE | FALSE
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 示例
- 修改联邦查询配置
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/global-rule/show-sql-federation-rule.en.md
=====================================================
+++
title = "SHOW SQL_FEDERATION RULE"
weight = 8
+++
### Description
The `SHOW SQL_FEDERATION RULE` syntax is used to query the federated query configuration.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowSQLFederationRule ::=
'SHOW' 'SQL_FEDERATION' 'RULE'
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Return Value Description
| Column | Description |
|------------------------------|--------------------------------------------|
| sql_federation_enabled | SQL federation enabled configuration |
| all_query_use_sql_federation | all query use SQL federation configuration |
| execution_plan_cache | execution plan cache configuration |
### Example
- Query sql federation rule configuration
```sql
SHOW SQL_FEDERATION RULE;
```
```sql
mysql> show sql_federation rule;
+------------------------+------------------------------+-------------------------------------------+
| sql_federation_enabled | all_query_use_sql_federation | execution_plan_cache |
+------------------------+------------------------------+-------------------------------------------+
| true | false | initialCapacity: 2000, maximumSize: 65535 |
+------------------------+------------------------------+-------------------------------------------+
1 row in set (0.31 sec)
```
### Reserved word
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/show-compute-node-info.cn.md
=====================================================
+++
title = "SHOW COMPUTE NODE INFO"
weight = 5
+++
### 描述
`SHOW COMPUTE NODE INFO` 语法用于查询当前 proxy 实例信息。
### 语法
{{< tabs >}}
{{% tab name="语法" %}}
```sql
ShowComputeNodeInfo ::=
'SHOW' 'COMPUTE' 'NODE' 'INFO'
```
{{% /tab %}}
{{% tab name="铁路图" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### 返回值说明
| 列 | 说明 |
|-------------|------------|
| instance_id | proxy 实例编号 |
| host | 主机地址 |
| port | 端口号 |
| status | proxy 实例状态 |
| mode_type | proxy 实例模式 |
| worker_id | worker id |
| labels | 标签 |
### 示例
- 查询当前 proxy 实例信息
```sql
SHOW COMPUTE NODE INFO;
```
```sql
mysql> SHOW COMPUTE NODE INFO;
+--------------------------------------+---------------+------+--------+-----------+-----------+--------+
| instance_id | host | port | status | mode_type | worker_id | labels |
+--------------------------------------+---------------+------+--------+-----------+-----------+--------+
| 734bb036-b15d-4af0-be87-2372d8b6a0cd | 192.168.5.163 | 3307 | OK | Cluster | -1 | |
+--------------------------------------+---------------+------+--------+-----------+-----------+--------+
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/ral/show-compute-node-mode.en.md
=====================================================
+++
title = "SHOW COMPUTE NODE MODE"
weight = 6
+++
### Description
The `SHOW COMPUTE NODE MODE` syntax is used to query current proxy instance mode configuration information.
### Syntax
{{< tabs >}}
{{% tab name="Grammar" %}}
```sql
ShowComputeNodeInfo ::=
'SHOW' 'COMPUTE' 'NODE' 'MODE'
```
{{% /tab %}}
{{% tab name="Railroad diagram" %}}
<iframe frameborder="0" name="diagram" id="diagram" width="100%" height="100%"></iframe>
{{% /tab %}}
{{< /tabs >}}
### Return Value Description
| Columns | Description |
|--------------|------------------------------------|
| type | type of proxy mode configuration |
| repository | type of persist repository |
| props | properties of persist repository |
### Example
- Query current proxy instance mode configuration information
```sql
SHOW COMPUTE NODE MODE;
```
```sql
mysql> SHOW COMPUTE NODE MODE;
+---------+------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| type | repository | props |
+---------+------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Cluster | ZooKeeper | {"operationTimeoutMilliseconds":500,"timeToLiveSeconds":60,"maxRetries":3,"namespace":"governance_ds","server-lists":"localhost:2181","retryIntervalMilliseconds":500} |
+---------+------------+------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
1 row in set (0.00 sec)
```
### Reserved word
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/syntax/_index.en.md
=====================================================
+++
title = "Syntax"
weight = 1
chapter = true
+++
This chapter describes the syntax of DistSQL in detail, and introduces use of DistSQL with practical examples.
## Syntax Rule
In DistSQL statement, except for keywords, the input format of other elements shall conform to the following rules.
### Identifier
1. The identifier represents an object in the SQL statement, including:
- database name
- table name
- column name
- index name
- resource name
- rule name
- algorithm name
2. The allowed characters in the identifier are: [`a-z, A-Z, 0-9, _`] (letters, numbers, underscores) and should start with a letter.
3. When keywords or special characters appear in the identifier, use the backticks (`).
### Literal
Types of literals include:
- string: enclosed in single quotes (') or double quotes (")
- int: it is generally a positive integer, such as 0-9;
Note: some DistSQL syntax allows negative values. In this case, a negative sign (-) can be added before the number, such as -1.
- boolean, containing only true & false. Case insensitive.
### Special Instructions
- The `""` must be used to mark the algorithm type name when specifying a user-defined algorithm type name, for example, `NAME="AlgorithmTypeName"`
- The `""` is not necessary when specifying a ShardingSphere [Built-in algorithm](/en/user-manual/common-config/builtin-algorithm/) type name, for example, `NAME=HASH_MOD`
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/_index.en.md
=====================================================
+++
title = "DistSQL"
weight = 3
chapter = true
+++
This chapter will introduce the detailed syntax of DistSQL.
## Definition
DistSQL (Distributed SQL) is Apache ShardingSphere's specific SQL, providing additional operation capabilities compared to standard SQL.
Flexible rule configuration and resource management & control capabilities are one of the characteristics of Apache ShardingSphere.
When using 4.x and earlier versions, developers can operate data just like using a database, but they need to configure resources and rules through YAML file (or registry center). However, the YAML file format and the changes brought by using the registry center made it unfriendly to DBAs.
Starting from version 5.x, DistSQL enables users to operate Apache ShardingSphere just like a database, transforming it from a framework and middleware for developers to a database product for DBAs.
## Related Concepts
DistSQL is divided into RDL, RQL, RAL and RUL.
### RDL
Resource & Rule Definition Language, is responsible for the definition of resources and rules.
### RQL
Resource & Rule Query Language, is responsible for the query of resources and rules.
### RAL
Resource & Rule Administration Language, is responsible for hint, circuit breaker, configuration import and export, scaling control and other management functions.
### RUL
Resource & Rule Utility Language, is responsible for SQL parsing, SQL formatting, preview execution plan, etc.
## Impact on the System
### Before
Before having DistSQL, users used SQL to operate data while using YAML configuration files to manage ShardingSphere, as shown below:
At that time, users faced the following problems:
- Different types of clients are required to operate data and manage ShardingSphere configuration.
- Multiple logical databases require multiple YAML files.
- Editing a YAML file requires writing permissions.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/usage/encrypt-rule.cn.md
=====================================================
+++
title = "数据加密"
weight = 3
+++
## 存储单元操作
```sql
REGISTER STORAGE UNIT ds_0 (
HOST="127.0.0.1",
PORT=3306,
DB="ds_0",
USER="root",
PASSWORD="root"
);
```
## 规则操作
- 创建加密规则
```sql
CREATE ENCRYPT RULE t_encrypt (
COLUMNS(
(NAME=user_id,CIPHER=user_cipher,ENCRYPT_ALGORITHM(TYPE(NAME='AES',PROPERTIES('aes-key-value'='123456abc')))),
(NAME=order_id,CIPHER =order_cipher,ENCRYPT_ALGORITHM(TYPE(NAME='AES',PROPERTIES('aes-key-value'='123456abc'))))
));
```
- 创建加密表
```sql
CREATE TABLE `t_encrypt` (
`id` int(11) NOT NULL,
`user_id` varchar(45) DEFAULT NULL,
`order_id` varchar(45) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
```
- 修改加密规则
```sql
ALTER ENCRYPT RULE t_encrypt (
COLUMNS(
(NAME=user_id,CIPHER=user_cipher,ENCRYPT_ALGORITHM(TYPE(NAME='AES',PROPERTIES('aes-key-value'='123456abc'))))
));
```
- 删除加密规则
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/usage/sharding-rule.cn.md
=====================================================
+++
title = "数据分片"
weight = 1
+++
## 存储单元操作
```sql
REGISTER STORAGE UNIT ds_0 (
HOST="127.0.0.1",
PORT=3306,
DB="ds_1",
USER="root",
PASSWORD="root"
),ds_1 (
HOST="127.0.0.1",
PORT=3306,
DB="ds_2",
USER="root",
PASSWORD="root"
);
```
## 规则操作
- 创建分片规则
```sql
CREATE SHARDING TABLE RULE t_order(
STORAGE_UNITS(ds_0,ds_1),
SHARDING_COLUMN=order_id,
TYPE(NAME="hash_mod",PROPERTIES("sharding-count"="4")),
KEY_GENERATE_STRATEGY(COLUMN=order_id,TYPE(NAME="snowflake"))
);
```
- 创建切分表
```sql
CREATE TABLE `t_order` (
`order_id` int NOT NULL,
`user_id` int NOT NULL,
`status` varchar(45) DEFAULT NULL,
PRIMARY KEY (`order_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4
```
- 删除切分表
```sql
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/usage/readwirte-splitting-rule.cn.md
=====================================================
+++
title = "读写分离"
weight = 2
+++
## 存储单元操作
```sql
REGISTER STORAGE UNIT write_ds (
HOST="127.0.0.1",
PORT=3306,
DB="ds_0",
USER="root",
PASSWORD="root"
),read_ds (
HOST="127.0.0.1",
PORT=3307,
DB="ds_0",
USER="root",
PASSWORD="root"
);
```
## 规则操作
- 创建读写分离规则
```sql
CREATE READWRITE_SPLITTING RULE group_0 (
WRITE_STORAGE_UNIT=write_ds,
READ_STORAGE_UNITS(read_ds),
TYPE(NAME="random")
);
```
- 修改读写分离规则
```sql
ALTER READWRITE_SPLITTING RULE group_0 (
WRITE_STORAGE_UNIT=write_ds,
READ_STORAGE_UNITS(read_ds),
TYPE(NAME="random",PROPERTIES("read_weight"="2:0"))
);
```
- 删除读写分离规则
```sql
DROP READWRITE_SPLITTING RULE group_0;
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/usage/mask-rule.en.md
=====================================================
+++
title = "MASK"
weight = 4
+++
## Storage unit Operation
```sql
REGISTER STORAGE UNIT ds_0 (
HOST="127.0.0.1",
PORT=3306,
DB="ds_0",
USER="root",
PASSWORD="root"
);
```
## Rule Operation
- Create mask rule
```sql
CREATE MASK RULE t_mask (
COLUMNS(
(NAME=phone_number,TYPE(NAME='MASK_FROM_X_TO_Y', PROPERTIES("from-x"=1, "to-y"=2, "replace-char"="*"))),
(NAME=address,TYPE(NAME='MD5'))
));
```
- Create mask table
```sql
CREATE TABLE `t_mask` (
`id` int(11) NOT NULL,
`user_id` varchar(45) DEFAULT NULL,
`phone_number` varchar(45) DEFAULT NULL,
`address` varchar(45) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
```
- Alter mask rule
```sql
ALTER MASK RULE t_mask (
COLUMNS(
(NAME=user_id,TYPE(NAME='MD5'))
));
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/usage/shadow-rule.en.md
=====================================================
+++
title = "Shadow"
weight = 5
+++
## Storage unit Operation
```sql
REGISTER STORAGE UNIT ds_0 (
HOST="127.0.0.1",
PORT=3306,
DB="ds_0",
USER="root",
PASSWORD="root"
),ds_1 (
HOST="127.0.0.1",
PORT=3306,
DB="ds_1",
USER="root",
PASSWORD="root"
),ds_2 (
HOST="127.0.0.1",
PORT=3306,
DB="ds_2",
USER="root",
PASSWORD="root"
);
```
## Rule Operation
- Create shadow rule
```sql
CREATE SHADOW RULE group_0(
SOURCE=ds_0,
SHADOW=ds_1,
t_order(TYPE(NAME="SQL_HINT"),TYPE(NAME="REGEX_MATCH", PROPERTIES("operation"="insert","column"="user_id", "regex"='[1]'))),
t_order_item(TYPE(NAME="SQL_HINT")));
```
- Alter shadow rule
```sql
ALTER SHADOW RULE group_0(
SOURCE=ds_0,
SHADOW=ds_2,
t_order_item(TYPE(NAME="SQL_HINT")));
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/usage/sharding-rule.en.md
=====================================================
+++
title = "Sharding"
weight = 1
+++
## Storage unit Operation
- Configure data source information
```sql
REGISTER STORAGE UNIT ds_0 (
HOST="127.0.0.1",
PORT=3306,
DB="ds_1",
USER="root",
PASSWORD="root"
),ds_1 (
HOST="127.0.0.1",
PORT=3306,
DB="ds_2",
USER="root",
PASSWORD="root"
);
```
## Rule Operation
- Create sharding rule
```sql
CREATE SHARDING TABLE RULE t_order(
STORAGE_UNITS(ds_0,ds_1),
SHARDING_COLUMN=order_id,
TYPE(NAME="hash_mod",PROPERTIES("sharding-count"="4")),
KEY_GENERATE_STRATEGY(COLUMN=order_id,TYPE(NAME="snowflake"))
);
```
- Create sharding table
```sql
CREATE TABLE `t_order` (
`order_id` int NOT NULL,
`user_id` int NOT NULL,
`status` varchar(45) DEFAULT NULL,
PRIMARY KEY (`order_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4
```
- Drop sharding table
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/usage/shadow-rule.cn.md
=====================================================
+++
title = "影子库压测"
weight = 5
+++
## 存储单元操作
```sql
REGISTER STORAGE UNIT ds_0 (
HOST="127.0.0.1",
PORT=3306,
DB="ds_0",
USER="root",
PASSWORD="root"
),ds_1 (
HOST="127.0.0.1",
PORT=3306,
DB="ds_1",
USER="root",
PASSWORD="root"
),ds_2 (
HOST="127.0.0.1",
PORT=3306,
DB="ds_2",
USER="root",
PASSWORD="root"
);
```
## 规则操作
- 创建影子库压测规则
```sql
CREATE SHADOW RULE group_0(
SOURCE=ds_0,
SHADOW=ds_1,
t_order(TYPE(NAME="SQL_HINT"),TYPE(NAME="REGEX_MATCH", PROPERTIES("operation"="insert","column"="user_id", "regex"='[1]'))),
t_order_item(TYPE(NAME="SQL_HINT")));
```
- 修改影子库压测规则
```sql
ALTER SHADOW RULE group_0(
SOURCE=ds_0,
SHADOW=ds_2,
t_order_item(TYPE(NAME="SQL_HINT")));
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/usage/_index.en.md
=====================================================
+++
title = "Usage"
weight = 2
chapter = true
+++
This chapter will introduce how to use DistSQL to manage resources and rules in a distributed database.
## Pre-work
Use MySQL as example, can replace to other databases.
1. Start the MySQL service;
1. Create to be registered MySQL databases;
1. Create role and user in MySQL with creation permission for ShardingSphere-Proxy;
1. Start Zookeeper service;
1. Add `mode` and `authentication` configurations to `global.yaml`;
1. Start ShardingSphere-Proxy;
1. Use SDK or terminal connect to ShardingSphere-Proxy.
## Create Logic Database
1. Create logic database
```sql
CREATE DATABASE foo_db;
```
2. Use newly created logic database
```sql
USE foo_db;
```
## Resource Operation
More details please see concentrate rule examples.
## Rule Operation
More details please see concentrate rule examples.
### Notice
1. Currently, `DROP DATABASE` will only remove the `logical distributed database`, not the user's actual database;
1. `DROP TABLE` will delete all logical fragmented tables and actual tables in the database;
1. `CREATE DATABASE` will only create a `logical distributed database`, so users need to create actual databases in advance.
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/usage/readwirte-splitting-rule.en.md
=====================================================
+++
title = "Readwrite_splitting"
weight = 2
+++
## Storage unit Operation
```sql
REGISTER STORAGE UNIT write_ds (
HOST="127.0.0.1",
PORT=3306,
DB="ds_0",
USER="root",
PASSWORD="root"
),read_ds (
HOST="127.0.0.1",
PORT=3307,
DB="ds_0",
USER="root",
PASSWORD="root"
);
```
## Rule Operation
- Create readwrite_splitting rule
```sql
CREATE READWRITE_SPLITTING RULE group_0 (
WRITE_STORAGE_UNIT=write_ds,
READ_STORAGE_UNITS(read_ds),
TYPE(NAME="random")
);
```
- Alter readwrite_splitting rule
```sql
ALTER READWRITE_SPLITTING RULE group_0 (
WRITE_STORAGE_UNIT=write_ds,
READ_STORAGE_UNITS(read_ds),
TYPE(NAME="random",PROPERTIES("read_weight"="2:0"))
);
```
- Drop readwrite_splitting rule
```sql
DROP READWRITE_SPLITTING RULE group_0;
```
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/usage/encrypt-rule.en.md
=====================================================
+++
title = "Encrypt"
weight = 3
+++
## Storage unit Operation
```sql
REGISTER STORAGE UNIT ds_0 (
HOST="127.0.0.1",
PORT=3306,
DB="ds_0",
USER="root",
PASSWORD="root"
);
```
## Rule Operation
- Create encrypt rule
```sql
CREATE ENCRYPT RULE t_encrypt (
COLUMNS(
(NAME=user_id,CIPHER=user_cipher,ENCRYPT_ALGORITHM(TYPE(NAME='AES',PROPERTIES('aes-key-value'='123456abc')))),
(NAME=order_id,CIPHER =order_cipher,ENCRYPT_ALGORITHM(TYPE(NAME='AES',PROPERTIES('aes-key-value'='123456abc'))))
));
```
- Create encrypt table
```sql
CREATE TABLE `t_encrypt` (
`id` int(11) NOT NULL,
`user_id` varchar(45) DEFAULT NULL,
`order_id` varchar(45) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
```
- Alter encrypt rule
```sql
ALTER ENCRYPT RULE t_encrypt (
COLUMNS(
(NAME=user_id,CIPHER=user_cipher,ENCRYPT_ALGORITHM(TYPE(NAME='AES',PROPERTIES('aes-key-value'='123456abc'))))
));
```
- Drop encrypt rule
=====================================================
== File: docs/document/content/user-manual/shardingsphere-proxy/distsql/usage/mask-rule.cn.md
=====================================================
+++
title = "数据脱敏"
weight = 4
+++
## 存储单元操作
```sql
REGISTER STORAGE UNIT ds_0 (
HOST="127.0.0.1",
PORT=3306,
DB="ds_0",
USER="root",
PASSWORD="root"
);
```
## 规则操作
- 创建数据脱敏规则
```sql
CREATE MASK RULE t_mask (
COLUMNS(
(NAME=phone_number,TYPE(NAME='MASK_FROM_X_TO_Y', PROPERTIES("from-x"=1, "to-y"=2, "replace-char"="*"))),
(NAME=address,TYPE(NAME='MD5'))
));
```
- 创建数据脱敏表
```sql
CREATE TABLE `t_mask` (
`id` int(11) NOT NULL,
`user_id` varchar(45) DEFAULT NULL,
`phone_number` varchar(45) DEFAULT NULL,
`address` varchar(45) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
```
- 修改数据脱敏规则
```sql
ALTER MASK RULE t_mask (
COLUMNS(
(NAME=user_id,TYPE(NAME='MD5'))
));
```
=====================================================
== File: docs/document/content/user-manual/_index.cn.md
=====================================================
+++
pre = "<b>4. </b>"
title = "用户手册"
weight = 4
chapter = true
+++
本章节面向 Apache ShardingSphere 的用户，详细阐述项目的使用说明。
=====================================================
== File: docs/document/content/user-manual/_index.en.md
=====================================================
+++
pre = "<b>4. </b>"
title = "User Manual"
weight = 4
chapter = true
+++
This chapter describes how to use projects of Apache ShardingSphere.
=====================================================
== File: docs/document/content/user-manual/error-code/sql-error-code.en.md
=====================================================
+++
title = "SQL Error Code"
weight = 1
chapter = true
+++
SQL error codes provide by standard `SQL State`, `Vendor Code` and `Reason`, which return to client when SQL execute error.
**the error codes are draft, still need to be adjusted.**
## Kernel Exception
### Meta data
| Vendor Code | SQL State | Reason |
|-------------|-----------|-------------------------------------------------------------------------------------|
| 10000 | 42S02 | Database is required. |
| 10001 | 42S02 | Schema '%s' does not exist. |
| 10002 | 42S02 | Table or view '%s' does not exist. |
| 10003 | 42S02 | Unknown column '%s' in '%s'. |
| 10010 | HY000 | Rule and storage meta data mismatched, reason is: %s. |
| 10100 | HY000 | Can not %s storage units '%s'. |
| 10101 | 42S02 | There is no storage unit in database '%s'. |
| 10102 | 44000 | Storage units '%s' do not exist in database '%s'. |
| 10103 | 44000 | Storage unit '%s' still used by '%s'. |
| 10104 | 42S01 | Duplicate storage unit names '%s'. |
| 10110 | 08000 | Storage units can not connect, error messages are: %s. |
| 10111 | 0A000 | Can not alter connection info in storage units: '%s'. |
| 10120 | 44000 | Invalid storage unit status, error message is: %s. |
| 10200 | 44000 | Invalid '%s' rule '%s', error message is: %s |
| 10201 | 42S02 | There is no rule in database '%s'. |
| 10202 | 42S02 | %s rules '%s' do not exist in database '%s'. |
| 10203 | 44000 | %s rules '%s' in database '%s' are still in used. |
| 10204 | 42S01 | Duplicate %s rule names '%s' in database '%s'. |
| 10210 | 42S02 | %s strategies '%s' do not exist. |
| 10300 | HY000 | Invalid format for actual data node '%s'. |
| 10301 | 0A000 | Can not support 3-tier structure for actual data node '%s' with JDBC '%s'. |
| 10400 | 44000 | Algorithm '%s.'%s' initialization failed, reason is: %s. |
| 10401 | 42S02 | '%s' algorithm on %s is required. |
| 10402 | 42S02 | '%s' algorithm '%s' on %s is unregistered. |
| 10403 | 44000 | %s algorithms '%s' in database '%s' are still in used. |
| 10404 | 44000 | Invalid %s algorithm configuration '%s'. |
| 10410 | 0A000 | Unsupported %s.%s with database type '%s'. |
| 10440 | HY000 | Algorithm '%s.%s' execute failed, reason is: %s. |
| 10500 | 44000 | Invalid single rule configuration, reason is: %s. |
| 10501 | 42S02 | Single table '%s' does not exist. |
| 10502 | HY000 | Can not load table with database name '%s' and data source name '%s', reason is: %s |
| 10503 | 0A000 | Can not drop schema '%s' because of contains tables. |
### Data
=====================================================
== File: docs/document/content/user-manual/error-code/_index.en.md
=====================================================
+++
pre = "<b>4.4. </b>"
title = "Error Code"
weight = 4
chapter = true
+++
This chapter lists error codes of Apache ShardingSphere.
They include SQL error codes and server error codes.
**All contents of this chapter are draft, the error codes maybe need to adjust.**
=====================================================
== File: docs/document/content/user-manual/error-code/server-error-code.en.md
=====================================================
+++
title = "Server Error Code"
weight = 2
chapter = true
+++
Unique codes provided when server exception occur, which printed by Proxy backend or JDBC startup logs.
| Error Code | Reason |
|-------------------|------------------------------------------------------------|
| SPI-00001 | No implementation class load from SPI '%s' with type '%s'. |
| DATA-SOURCE-00001 | Data source '%s' is unavailable. |
| PROPS-00001 | Properties convert failed, details are: %s. |
| PROXY-00001 | Load database server info failed. |
=====================================================
== File: docs/document/content/overview/_index.en.md
=====================================================
+++
pre = "<b>1. </b>"
title = "Overview"
weight = 1
chapter = true
+++
## What is ShardingSphere
### Introduction
Apache ShardingSphere is an ecosystem to transform any database into a distributed database system,
and enhance it with sharding, elastic scaling, encryption features & more.
The project is committed to providing a multi-source heterogeneous, enhanced database platform and further building an ecosystem around the upper layer of the platform.
Database Plus, the design philosophy of Apache ShardingSphere, aims at building the standard and ecosystem on the upper layer of the heterogeneous database.
It focuses on how to make full and reasonable use of the computing and storage capabilities of existing databases rather than creating a brand new database.
It attaches greater importance to the collaboration between multiple databases instead of the database itself.
#### ShardingSphere-JDBC
[](https://mvnrepository.com/artifact/org.apache.shardingsphere/shardingsphere-jdbc)
ShardingSphere-JDBC is a lightweight Java framework that provides additional services at Java's JDBC layer.
#### ShardingSphere-Proxy
[](https://nightlies.apache.org/shardingsphere/)
[](/cn/downloads/)
[](https://hub.docker.com/r/apache/shardingsphere-proxy)
ShardingSphere-Proxy is a transparent database proxy, providing a database server that encapsulates database binary protocol to support heterogeneous languages.
### Product Features
| Feature | Definition |
|-------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Data Sharding | Data sharding is an effective way to deal with massive data storage and computing. ShardingSphere provides a distributed database solution based on the underlying database, which can scale computing and storage horizontally. |
| Distributed Transaction | Transactional capability is key to ensuring database integrity and security and is also one of the databases' core technologies. With a hybrid engine based on XA and BASE transactions, ShardingSphere provides distributed transaction capabilities on top of standalone databases, enabling data security across underlying data sources. |
| Read/write Splitting | Read/write splitting can be used to cope with business access with high stress. ShardingSphere provides flexible read/write splitting capabilities and can achieve read access load balancing based on the understanding of SQL semantics and the ability to perceive the underlying database topology. |
| Data Migration | Data migration is the key to connecting data ecosystems. ShardingSphere provides migration capabilities to help users migrate the data from other data sources, while simultaneously performing data sharding. |
| Query Federation | Federated queries are effective in utilizing data in a complex data environment. ShardingSphere provides complex data query and analysis capabilities across data sources, simplifying the data aggregation from different data locations. |
| Data Encryption | Data Encryption is a basic way to ensure data security. ShardingSphere provides a complete, transparent, secure, and low-cost data encryption solution. |
| Shadow Database | In full-link online load testing scenarios, ShardingSphere supports data isolation in complex load testing scenarios through the shadow database function. Execute your load testing scenarios in a production environment without worrying about test data polluting your production data. |
### Advantages
- Ultimate Performance
Having been polished for years, the driver is close to a native JDBC in terms of efficiency, with ultimate performance.
=====================================================
== File: docs/document/content/test-manual/integration-test/_index.en.md
=====================================================
+++
pre = "<b>6.1. </b>"
title = "Integration Test"
weight = 1
+++
## Design
The integration testing consists of three modules: test case, test environment and test engine.
### Test case
It is used to define the SQL to be tested and the assertion data of the test results.
Each case defines one SQL, which can define multiple database execution types.
### Test environment
It is used to set up the database and ShardingSphere-Proxy environment for running test cases.
The environment is classified into environment preparation mode, database type, and scenario.
Environment preparation mode is divided into Native and Docker, and Embed type will be supported in the future.
- Native environment is used for test cases to run directly in the test environment provided by the developer, suitable for debugging scenarios;
- Docker environment is directly built when Maven runs the Docker-Compose plug-in. It is suitable for cloud compilation environment and testing ShardingSphere-Proxy, such as GitHub Action;
- Embed environment is built when the test framework automatically builds embedded MySQL. It is suitable for the local environment test of ShardingSphere-JDBC.
Currently, the Native environment is adopted by default, and ShardingSphere-JDBC + H2 database is used to run test cases.
Maven's `-pit. Env.docker` parameter specifies how the Docker environment is run.
In the future, ShardingSphere-JDBC + MySQL of the Embed environment will be adopted to replace the default environment type used when Native executes test cases.
Database types currently support MySQL, PostgreSQL, SQLServer, and Oracle, and test cases can be executed using ShardingSphere-JDBC or ShardingSphere-Proxy.
Scenarios are used to test the supporting rules of ShardingSphere. Currently, data sharding and read/write splitting and other related scenarios are supported, and the combination of scenarios will be improved continuously in the future.
### Test engine
It is used to read test cases in batches and execute and assert test results line by line.
The test engine arranges test cases and environments to test as many scenarios as possible with the fewest test cases.
Each SQL generates a test report in the combination of `database type * access port type * SQL execution mode * JDBC execution mode * Scenario`. Currently, each dimension is supported as follows:
- Database types: H2, MySQL, PostgreSQL, SQLServer, and Oracle;
- Access port types: ShardingSphere-JDBC and ShardingSphere-Proxy;
- SQL execution modes: Statement and PreparedStatement;
- JDBC execution modes: execute and executeQuery/executeUpdate;
- Scenarios: database shards, table shards, read/write splitting and sharding + read/write splitting
Therefore, one SQL will drive `Database type (5) * Access port type (2) * SQL execution mode (2) * JDBC execution mode (2) * Scenario (4) = 160` test cases to be run to achieve the pursuit of high quality.
=====================================================
== File: docs/document/content/test-manual/performance-test/benchmarksql-proxy-sharding-test.cn.md
=====================================================
+++
title = "BenchmarkSQL ShardingSphere Proxy 分片性能测试"
weight = 2
+++
## 测试目的
使用 BenchmarkSQL 工具测试 ShardingSphere Proxy 的分片性能。
## 测试方法
ShardingSphere Proxy 支持通过 [BenchmarkSQL 5.0](https://sourceforge.net/projects/benchmarksql/) 进行 TPC-C 测试。
除本文说明的内容外，BenchmarkSQL 操作步骤按照原文档 `HOW-TO-RUN.txt` 即可。
## 测试工具微调
与单机数据库压测不同，分布式数据库解决方案难免在功能支持上有所取舍。使用 BenchmarkSQL 压测 ShardingSphere Proxy 建议进行如下调整。
### 移除外键与 extraHistID
修改 BenchmarkSQL 目录下 `run/runDatabaseBuild.sh`，文件第 17 行。
修改前：
```bash
AFTER_LOAD="indexCreates foreignKeys extraHistID buildFinish"
```
修改后：
```bash
AFTER_LOAD="indexCreates buildFinish"
```
## 压测环境或参数建议
**注意：本节中提到的任何参数都不是绝对值，都需要根据实际测试结果进行调整或取舍。**
### 建议使用 Java 17 运行 ShardingSphere
编译 ShardingSphere 可以使用 Java 8。
使用 Java 17 可以在默认情况下尽量提升 ShardingSphere 的性能。
### ShardingSphere 数据分片建议
对 BenchmarkSQL 的数据分片，可以考虑以各个表中的 warehouse id 作为分片键。
其中一个表 `bmsql_item` 没有 warehouse id，数据量固定 10 万行：
- 可以取 `i_id` 作为分片键。但可能会导致同一个 Proxy 连接同时持有多个不同数据源的连接。
- 或考虑不做分片，存在单个数据源内。可能会导致某一数据源压力较大。
- 或对 `i_id` 进行范围分片，例如 1-50000 分布在数据源 0、50001-100000 分布在数据源 1。
=====================================================
== File: docs/document/content/test-manual/performance-test/sysbench-proxy-norules-test.cn.md
=====================================================
+++
title = "Sysbench ShardingSphere Proxy 空 Rules 性能测试"
weight = 1
+++
## 测试目的
对 ShardingSphere-Proxy 及 MySQL 进行性能对比
1. sysbench 直接压测 MySQL 性能
2. sysbench 压测 ShardingSphere-Proxy(底层透传 MySQL)
基于以上两组实验，得到使用 ShardingSphere-Proxy 对于 MySQL 的损耗。
## 测试环境搭建
### 服务器信息
1. DB 相关配置：推荐内存大于压测的数据量，使得数据均在内存热块中，其余可自行调整；
2. ShardingSphere-Proxy 相关配置：推荐使用高性能多核 CPU，其余可自行调整；
3. 压测涉及服务器均关闭 swap 分区。
### 数据库
```shell
[mysqld]
innodb_buffer_pool_size=${MORE_THAN_DATA_SIZE}
innodb-log-file-size=3000000000
innodb-log-files-in-group=5
innodb-flush-log-at-trx-commit=0
innodb-change-buffer-max-size=40
back_log=900
innodb_max_dirty_pages_pct=75
innodb_open_files=20480
innodb_buffer_pool_instances=8
innodb_page_cleaners=8
innodb_purge_threads=2
innodb_read_io_threads=8
innodb_write_io_threads=8
table_open_cache=102400
log_timestamps=system
thread_cache_size=16384
transaction_isolation=READ-COMMITTED
# 可参考进行适当调优，旨在放大底层 DB 性能，不让实验受制于 DB 性能瓶颈。
```
### 压测工具
可通过 [ sysbench ](https://github.com/akopytov/sysbench) 官网自行获取
=====================================================
== File: docs/document/content/test-manual/performance-test/benchmarksql-proxy-sharding-test.en.md
=====================================================
+++
title = "BenchmarkSQL ShardingSphere-Proxy Sharding Performance Test"
weight = 2
+++
## Objective
BenchmarkSQL tool is used to test the sharding performance of ShardingSphere-Proxy.
## Method
ShardingSphere-Proxy supports the TPC-C test through [BenchmarkSQL 5.0](https://sourceforge.net/projects/benchmarksql/).
In addition to the content described in this document, BenchmarkSQL is operated according to the original document `HOW-TO-RUN.txt`.
## Fine tuning to test tools
Unlike stand-alone database stress testing, distributed database solutions inevitably face trade-offs in functions. It is recommended to make the following adjustments when using BenchmarkSQL to carry out stress testing on ShardingSphere-Proxy.
### Remove the foreign key and extraHistID
Modify `run/runDatabaseBuild.sh` in the BenchmarkSQL directory at line 17.
Before modification:
```bash
AFTER_LOAD="indexCreates foreignKeys extraHistID buildFinish"
```
After modification:
```bash
AFTER_LOAD="indexCreates buildFinish"
```
## Stress testing environment or parameter recommendations
**Note: None of the parameters mentioned in this section are absolute values and need to be adjusted based on actual test results.**
### It is recommended to run ShardingSphere using Java 17
ShardingSphere can be compiled using Java 8.
When using Java 17, maximize the ShardingSphere performance by default.
### ShardingSphere data sharding recommendations
The data sharding of BenchmarkSQL can use the warehouse id in each table as the sharding key.
One of the tables `bmsql_item` has no warehouse id and has a fixed data volume of 100,000 rows:
- You can take `i_id` as a sharding key. However, the same Proxy connection may hold connections to multiple different data sources at the same time.
- Or you can give up sharding and store it in a single data source. But a data source may be under great pressure.
- Or you may choose range-based sharding for `i_id`, such as 1-50000 for data source 0 and 50001-100000 for data source 1.
=====================================================
== File: docs/document/content/test-manual/performance-test/_index.cn.md
=====================================================
+++
pre = "<b>6.2. </b>"
title = "性能测试"
weight = 2
+++
提供各个压测工具的性能测试结果。
=====================================================
== File: docs/document/content/test-manual/performance-test/_index.en.md
=====================================================
+++
pre = "<b>6.2. </b>"
title = "Performance Test"
weight = 2
+++
Provides result for each performance test tools.
=====================================================
== File: docs/document/content/test-manual/performance-test/sysbench-proxy-norules-test.en.md
=====================================================
+++
title = "SysBench ShardingSphere-Proxy Empty Rule Performance Test"
weight = 1
+++
## Objectives
Compare the performance of ShardingSphere-Proxy and MySQL
1. Sysbench directly carries out stress testing on the performance of MySQL.
1. Sysbench directly carries out stress testing on ShardingSphere-Proxy (directly connect MySQL).
Based on the above two groups of experiments, we can figure out the loss of MySQL when using ShardingSphere-Proxy.
## Set up the test environment
### Server information
1. Db-related configuration: it is recommended that the memory is larger than the amount of data to be tested, so that the data is stored in the memory hot block, and the rest can be adjusted.
1. ShardingSphere-Proxy-related configuration: it is recommended to use a high-performance, multi-core CPU, and other configurations can be customized.
1. Disable swap partitions on all servers involved in the stress testing.
### Database
```shell
[mysqld]
innodb_buffer_pool_size=${MORE_THAN_DATA_SIZE}
innodb-log-file-size=3000000000
innodb-log-files-in-group=5
innodb-flush-log-at-trx-commit=0
innodb-change-buffer-max-size=40
back_log=900
innodb_max_dirty_pages_pct=75
innodb_open_files=20480
innodb_buffer_pool_instances=8
innodb_page_cleaners=8
innodb_purge_threads=2
innodb_read_io_threads=8
innodb_write_io_threads=8
table_open_cache=102400
log_timestamps=system
thread_cache_size=16384
transaction_isolation=READ-COMMITTED
# Appropriate tuning can be considered to magnify the underlying DB performance, so that the experiment doesn't subject to DB performance bottleneck.
```
### Stress testing tool
Refer to [ sysbench's GitHub ](https://github.com/akopytov/sysbench)
=====================================================
== File: docs/document/content/test-manual/_index.cn.md
=====================================================
+++
pre = "<b>6. </b>"
title = "测试手册"
weight = 6
chapter = true
+++
Apache ShardingSphere 提供了完善的整合测试、模块测试和性能测试。
## 整合测试
通过真实的 Apache ShardingSphere 和数据库的连接，提供端到端的测试。
整合测试引擎以 XML 方式定义 SQL，分别为各个数据库独立运行测试用例。
为了方便上手，测试引擎无需修改任何 **Java** 代码，只需修改相应的配置文件即可运行断言。
测试引擎不依赖于任何第三方环境，用于测试的 ShardingSphere-Proxy 计算节点和数据库均由 Docker 镜像提供。
## 模块测试
将复杂的模块单独提炼成为测试引擎。
模块测试引擎同样以 XML 方式定义 SQL，分别为各个数据库独立运行测试用例，包括 SQL 解析和 SQL 改写模块。
## 性能测试
提供多样性的性能测试方法，包括 Sysbench、JMH、TPCC 等。
=====================================================
== File: docs/document/content/test-manual/_index.en.md
=====================================================
+++
pre = "<b>6. </b>"
title = "Test Manual"
weight = 6
chapter = true
+++
Apache ShardingSphere provides test engines for integration, module and performance.
## Integration Test
Provide point to point test which connect real ShardingSphere and database instances.
They define SQLs in XML files, engine run for each database independently.
All test engines designed to modify the configuration files to execute all assertions without any **Java code** modification.
It does not depend on any third-party environment, ShardingSphere-Proxy and database used for testing are provided by docker image.
## Module Test
Provide module test engine for complex modules.
They define SQLs in XML files, engine run for each database independently too
It includes SQL parser and SQL rewriter modules.
## Performance Test
Provide multiple performance test methods, includes Sysbench, JMH or TPCC and so on.
## Sysbench Test
=====================================================
== File: docs/document/content/test-manual/pipeline-e2e-test/_index.cn.md
=====================================================
+++
pre = "<b>6.4. </b>"
title = "Pipeline E2E 测试"
weight = 4
+++
## 测试目的
验证 pipeline 各个场景的功能正确性。
## 测试环境类型
目前支持 NATIVE 和 DOCKER。
1. NATIVE：运行在开发者本机环境。需要在本机启动 ShardingSphere-Proxy 实例和数据库实例。一般用于本机调试。
2. DOCKER：运行在 Maven 插件拉起的 docker 环境。一般用于 GitHub Action，也可以在本机运行。
支持的数据库：MySQL、PostgreSQL、openGauss。
## 使用指南
模块路径 `test/e2e/operation/pipeline`。
### 环境配置
`${DOCKER-IMAGE}` 表示 docker 镜像名称，如 `mysql:5.7` 。 `${DATABASE-TYPE}` 表示数据库类型。
目录：`src/test/resources/env/`
- `it-env.properties`：环境配置文件。
- `${DATABASE-TYPE}/global.yaml`：ShardingSphere-Proxy 配置文件。
- `${DATABASE-TYPE}/initdb.sql`：数据库初始化 SQL 文件。
- `${DATABASE-TYPE}/*.cnf,*.conf`：数据库配置文件。
- `common/*.xml`：测试用到的 DistSQL 文件。
- `scenario/`：各个测试场景的 SQL 文件。
### 测试用例
用例示例：MySQLMigrationGeneralE2EIT。
覆盖的功能点如下：
- 库级别迁移（所有表）
- 表级别迁移（任意多个表）
- 迁移数据一致性校验
- 数据迁移过程中支持重启
- 数据迁移支持整型主键
- 数据迁移支持字符串主键
- 使用非管理员账号进行数据迁移
### 运行测试用例
`it-env.properties` 所有属性都可以通过 Maven 命令行 `-D` 的方式传入，优先级高于配置文件。
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== File: docs/document/content/test-manual/pipeline-e2e-test/_index.en.md
=====================================================
+++
pre = "<b>6.4. </b>"
title = "Pipeline E2E Test"
weight = 4
+++
## Objectives
Verify the functional correctness of pipeline scenarios.
## Test environment type
Currently, NATIVE and DOCKER are available.
1. NATIVE : Run on developer local machine. Need to start ShardingSphere-Proxy instance and database instance by developer. It could be used for local debugging.
2. DOCKER : Run on docker started by Maven plugin. It could be used for GitHub Actions, and it could be used for local debugging too.
Supported databases: MySQL, PostgreSQL and openGuass.
## User guide
Module path: `test/e2e/operation/pipeline`.
### Environment setup
`${DOCKER-IMAGE}` refers to the name of a docker mirror, such as `mysql:5.7`. `${DATABASE-TYPE}` refers to database types.
Directory: `src/test/resources/env/`
- `it-env.properties`: Environment setup configuration file.
- `${DATABASE-TYPE}/global.yaml`: ShardingSphere-Proxy configuration fi;e.
- `${DATABASE-TYPE}/initdb.sql`: Database initialization SQL file.
- `${DATABASE-TYPE}/*.cnf,*.conf`: Database configuration files.
- `common/*.xml`: DistSQL files.
- `scenario/`: SQL files for different scenarios.
### Test case
Test case example: MySQLMigrationGeneralE2EIT.
Functions included:
- Database-level migration (all tables).
- Table-level migration (any number).
- Verify migration data consistency.
- Support restart during data migration.
- Support integer primary keys during data migration.
- Support string primary keys during data migration.
- A non-administrator account can be used to migrate data.
### Running the test case
Any property of `it-env.properties` could be defined by Maven command line parameter `-D`, and its priority is higher than configuration file.
=====================================================
== File: docs/document/content/test-manual/module-test/parser-test.en.md
=====================================================
+++
title = "SQL Parser Test"
weight = 1
+++
## Prepare Data
Not like Integration test, SQL parse test does not need a specific database environment, just define the sql to parse, and the assert data:
### SQL Data
As mentioned `sql-case-id` in Integration test, test-case-id could be shared in different module to test, and the file is in `shardingsphere-test-it-parser` module, at `test/it/parser/src/main/resources/sql/supported/${SQL-TYPE}/*.xml`
### Assert Data
The assert data is at `test/it/parser/src/main/resources/case/${SQL-TYPE}/*.xml`
in that xml file, it could assert against the table name, token or sql condition and so on. For example:
```xml
<parser-result-sets>
<parser-result sql-case-id="insert_with_multiple_values">
<tables>
<table name="t_order" />
</tables>
<tokens>
<table-token start-index="12" table-name="t_order" length="7" />
</tokens>
<sharding-conditions>
<and-condition>
<condition column-name="order_id" table-name="t_order" operator="EQUAL">
<value literal="1" type="int" />
</condition>
<condition column-name="user_id" table-name="t_order" operator="EQUAL">
<value literal="1" type="int" />
</condition>
</and-condition>
<and-condition>
<condition column-name="order_id" table-name="t_order" operator="EQUAL">
<value literal="2" type="int" />
</condition>
<condition column-name="user_id" table-name="t_order" operator="EQUAL">
<value literal="2" type="int" />
</condition>
</and-condition>
</sharding-conditions>
</parser-result>
</parser-result-sets>
```
When these configs are ready, launch the test engine in `test/it/parser` to test SQL parse.
=====================================================
== File: docs/document/content/test-manual/module-test/_index.cn.md
=====================================================
+++
pre = "<b>6.3. </b>"
title = "模块测试"
weight = 3
+++
提供复杂模块的测试引擎。
=====================================================
== File: docs/document/content/test-manual/module-test/rewrite-test.en.md
=====================================================
+++
title = "SQL Rewrite Test"
weight = 2
+++
## Target
Facing logic databases and tables cannot be executed directly in actual databases. SQL rewrite is used to rewrite logic SQL into rightly executable ones in actual databases, including two parts, correctness rewrite and optimization rewrite. rewrite tests are for these targets.
### Test
The rewrite tests are in the test folder under `test/it/rewriter` . Followings are the main part for rewrite tests:
- test engine
- environment configuration
- assert data
Test engine is the entrance of rewrite tests, just like other test engines, through Junit [Parameterized](https://github.com/junit-team/junit4/wiki/Parameterized-tests), read every and each data in the xml file under the target test type in `test\resources`, and then assert by the engine one by one
Environment configuration is the yaml file under test type under `test\resources\yaml`. The configuration file contains dataSources, shardingRule, encryptRule and other info. for example:
```yaml
dataSources:
db: !!com.zaxxer.hikari.HikariDataSource
driverClassName: org.h2.Driver
jdbcUrl: jdbc:h2:mem:db;DB_CLOSE_DELAY=-1;DATABASE_TO_UPPER=false;MODE=MYSQL
username: sa
password:
## sharding Rules
rules:
- !SHARDING
tables:
t_account:
actualDataNodes: db.t_account_${0..1}
tableStrategy:
standard:
shardingColumn: account_id
shardingAlgorithmName: account_table_inline
keyGenerateStrategy:
column: account_id
keyGeneratorName: snowflake
t_account_detail:
actualDataNodes: db.t_account_detail_${0..1}
tableStrategy:
standard:
shardingColumn: order_id
shardingAlgorithmName: account_detail_table_inline
bindingTables:
- t_account, t_account_detail
=====================================================
== File: docs/document/content/test-manual/module-test/_index.en.md
=====================================================
+++
pre = "<b>6.3. </b>"
title = "Module Test"
weight = 3
+++
Provides test engine with each complex modules.
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== File: docs/document/content/quick-start/shardingsphere-proxy-quick-start.cn.md
=====================================================
+++
pre = "<b>2.2. </b>"
title = "ShardingSphere-Proxy"
weight = 2
+++
## 应用场景
ShardingSphere-Proxy 的定位为透明化的数据库代理，理论上支持任何使用 MySQL、PostgreSQL、openGauss 协议的客户端操作数据，对异构语言、运维场景更友好。
## 使用限制
ShardingSphere-Proxy 对系统库/表（如 information_schema、pg_catalog）支持有限，通过部分图形化数据库客户端连接 Proxy 时，可能客户端或 Proxy 会有错误提示。可以使用命令行客户端（`mysql`、`psql`、`gsql` 等）连接 Proxy 验证功能。
## 前提条件
使用 Docker 启动 ShardingSphere-Proxy 无须额外依赖。
使用二进制分发包启动 Proxy，需要环境具备 Java JRE 8 或更高版本。
## 操作步骤
1. 获取 ShardingSphere-Proxy
目前 ShardingSphere-Proxy 可以通过以下方式：
- [二进制发布包](/cn/user-manual/shardingsphere-proxy/startup/bin/)
- [Docker](/cn/user-manual/shardingsphere-proxy/startup/docker/)
- [Helm](/cn/user-manual/shardingsphere-proxy/startup/helm/)
2. 规则配置
编辑 `%SHARDINGSPHERE_PROXY_HOME%/conf/global.yaml`。
编辑 `%SHARDINGSPHERE_PROXY_HOME%/conf/database-xxx.yaml`。
> %SHARDINGSPHERE_PROXY_HOME% 为 Proxy 解压后的路径，例：`/opt/shardingsphere-proxy-bin/`
详情请参见 [配置手册](/cn/user-manual/shardingsphere-proxy/yaml-config/)。
3. 引入依赖
如果后端连接 PostgreSQL 或 openGauss 数据库，不需要引入额外依赖。
如果后端连接 MySQL 数据库，请下载 [mysql-connector-java-5.1.49.jar](https://repo1.maven.org/maven2/mysql/mysql-connector-java/5.1.49/mysql-connector-java-5.1.49.jar) 或者 [mysql-connector-java-8.0.11.jar](https://repo1.maven.org/maven2/mysql/mysql-connector-java/8.0.11/mysql-connector-java-8.0.11.jar)，并将其放入 `%SHARDINGSPHERE_PROXY_HOME%/ext-lib` 目录。
4. 启动服务
* 使用默认配置项
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== File: docs/document/content/quick-start/_index.cn.md
=====================================================
+++
pre = "<b>2. </b>"
title = "快速入门"
weight = 2
chapter = true
+++
本章节以尽量短的时间，为使用者提供最简单的 Apache ShardingSphere 的快速入门。
**示例代码：https://github.com/apache/shardingsphere/tree/master/examples**
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=====================================================
+++
pre = "<b>2. </b>"
title = "Quick Start"
weight = 2
chapter = true
+++
In shortest time, this chapter provides users with a simplest quick start with Apache ShardingSphere.
**Example Codes: https://github.com/apache/shardingsphere/tree/master/examples**
=====================================================
== File: docs/document/content/quick-start/shardingsphere-jdbc-quick-start.cn.md
=====================================================
+++
pre = "<b>2.1. </b>"
title = "ShardingSphere-JDBC"
weight = 1
+++
## 应用场景
Apache ShardingSphere-JDBC 可以通过 `Java` 和 `YAML` 这 2 种方式进行配置，开发者可根据场景选择适合的配置方式。
## 使用限制
目前仅支持 JAVA 语言
## 前提条件
开发环境需要具备 Java JRE 8 或更高版本。
## 操作步骤
1. 规则配置。
详情请参见[用户手册](/cn/user-manual/shardingsphere-jdbc/)。
2. 引入 maven 依赖。
```xml
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-jdbc</artifactId>
<version>${latest.release.version}</version>
</dependency>
```
> 注意：请将 `${latest.release.version}` 更改为实际的版本号。
3. 创建 YAML 配置文件
```yaml
# JDBC 逻辑库名称。在集群模式中，使用该参数来联通 ShardingSphere-JDBC 与 ShardingSphere-Proxy。
# 默认值：logic_db
databaseName (?):
mode:
dataSources:
rules:
- !FOO_XXX
=====================================================
== File: docs/document/content/quick-start/shardingsphere-proxy-quick-start.en.md
=====================================================
+++
pre = "<b>2.2. </b>"
title = "ShardingSphere-Proxy"
weight = 2
+++
## Scenarios
ShardingSphere-Proxy is positioned as a transparent database proxy. It theoretically supports any client operation data using MySQL, PostgreSQL and openGauss protocols, and is friendly to heterogeneous languages and operation and maintenance scenarios.
## Limitations
Proxy provides limited support for system databases / tables (such as information_schema, pg_catalog). When connecting to Proxy through some graph database clients, the client or proxy may have an error prompt. You can use command-line clients (`mysql`, `psql`, `gsql`, etc.) to connect to the Proxy's authentication function.
## Requirements
Starting ShardingSphere-Proxy with Docker requires no additional dependency.
To start the Proxy using binary distribution, the environment must have Java JRE 8 or higher.
## Procedure
1. Get ShardingSphere-Proxy.
ShardingSphere-Proxy is available at:
- [Binary Distribution](/en/user-manual/shardingsphere-proxy/startup/bin/)
- [Docker](/en/user-manual/shardingsphere-proxy/startup/docker/)
- [Helm](/en/user-manual/shardingsphere-proxy/startup/helm/)
2. Rule configuration.
Edit `%SHARDINGSPHERE_PROXY_HOME%/conf/global.yaml`.
Edit `%SHARDINGSPHERE_PROXY_HOME%/conf/database-xxx.yaml`.
> %SHARDINGSPHERE_PROXY_HOME% is the proxy extract path. for example: `/opt/shardingsphere-proxy-bin/`
Please refer to [Configuration Manual](/en/user-manual/shardingsphere-proxy/yaml-config/) for more details.
3. Import dependencies.
If the backend database is PostgreSQL or openGauss, no additional dependencies are required.
If the backend database is MySQL, please download [mysql-connector-java-5.1.49.jar](https://repo1.maven.org/maven2/mysql/mysql-connector-java/5.1.49/mysql-connector-java-5.1.49.jar) or [mysql-connector-java-8.0.11.jar](https://repo1.maven.org/maven2/mysql/mysql-connector-java/8.0.11/mysql-connector-java-8.0.11.jar) and put it into the `%SHARDINGSPHERE_PROXY_HOME%/ext-lib` directory.
4. Start server.
* Use the default configuration to start
=====================================================
== File: docs/document/content/quick-start/shardingsphere-jdbc-quick-start.en.md
=====================================================
+++
pre = "<b>2.1. </b>"
title = "ShardingSphere-JDBC"
weight = 1
+++
## Scenarios
There are two ways you can configure Apache ShardingSphere: `Java` and `YAML`.
Developers can choose the preferred method according to their requirements.
## Limitations
Currently only Java language is supported.
## Requirements
The development environment requires Java JRE 8 or later.
## Procedure
1. Rules configuration.
Please refer to [User Manual](/en/user-manual/shardingsphere-jdbc/) for more details.
2. Import Maven dependency
```xml
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-jdbc</artifactId>
<version>${latest.release.version}</version>
</dependency>
```
> Notice: Please change `${latest.release.version}` to the actual version.
3. Create YAML configuration file
```yaml
# JDBC database name. In cluster mode, use this parameter to connect ShardingSphere-JDBC and ShardingSphere-Proxy.
# Default：logic_db
databaseName (?):
mode:
dataSources:
rules:
- !FOO_XXX
=====================================================
== File: docs/document/content/dev-manual/encrypt.cn.md
=====================================================
+++
pre = "<b>5.6. </b>"
title = "数据加密"
weight = 6
chapter = true
+++
## EncryptAlgorithm
### 全限定类名
[`org.apache.shardingsphere.encrypt.spi.EncryptAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/encrypt/api/src/main/java/org/apache/shardingsphere/encrypt/spi/EncryptAlgorithm.java)
### 定义
数据加密算法
### 已知实现
| *配置标识* | *详细说明* | *全限定类名* |
|------------------|------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| AES | 基于 AES 的数据加密算法 | [`org.apache.shardingsphere.encrypt.algorithm.encrypt.AESEncryptAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/encrypt/core/src/main/java/org/apache/shardingsphere/encrypt/algorithm/standard/AESEncryptAlgorithm.java) |
| MD5 | 基于 MD5 的辅助查询加密算法 | [`org.apache.shardingsphere.encrypt.algorithm.encrypt.MD5EncryptAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/encrypt/core/src/main/java/org/apache/shardingsphere/encrypt/algorithm/assisted/MD5AssistedEncryptAlgorithm.java) |
=====================================================
== File: docs/document/content/dev-manual/sql-parser.en.md
=====================================================
+++
pre = "<b>5.2. </b>"
title = "SQL Parser"
weight = 2
chapter = true
+++
## DatabaseTypedSQLParserFacade
### Fully-qualified class name
[`org.apache.shardingsphere.sql.parser.spi.DialectSQLParserFacade`](https://github.com/apache/shardingsphere/blob/master/parser/sql/spi/src/main/java/org/apache/shardingsphere/sql/parser/spi/DialectSQLParserFacade.java)
### Definition
Database typed SQL parser facade service definition
### Implementation classes
| *Configuration Type* | *Description* | *Fully-qualified class name* |
|----------------------|--------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| MySQL | SQL parser entry based on MySQL | [`org.apache.shardingsphere.sql.parser.mysql.parser.MySQLParserFacade`](https://github.com/apache/shardingsphere/blob/master/parser/sql/dialect/mysql/src/main/java/org/apache/shardingsphere/sql/parser/mysql/parser/MySQLParserFacade.java) |
| PostgreSQL | SQL parser entry based on PostgreSQL | [`org.apache.shardingsphere.sql.parser.postgresql.parser.PostgreSQLParserFacade`](https://github.com/apache/shardingsphere/blob/master/parser/sql/dialect/postgresql/src/main/java/org/apache/shardingsphere/sql/parser/postgresql/parser/PostgreSQLParserFacade.java) |
| SQLServer | SQL parser entry based on SQLServer | [`org.apache.shardingsphere.sql.parser.sqlserver.parser.SQLServerParserFacade`](https://github.com/apache/shardingsphere/blob/master/parser/sql/dialect/sqlserver/src/main/java/org/apache/shardingsphere/sql/parser/sqlserver/parser/SQLServerParserFacade.java) |
| Oracle | SQL parser entry based on Oracle | [`org.apache.shardingsphere.sql.parser.oracle.parser.OracleParserFacade`](https://github.com/apache/shardingsphere/blob/master/parser/sql/dialect/oracle/src/main/java/org/apache/shardingsphere/sql/parser/oracle/parser/OracleParserFacade.java) |
| SQL92 | SQL parser entry based on SQL92 | [`org.apache.shardingsphere.sql.parser.sql92.parser.SQL92ParserFacade`](https://github.com/apache/shardingsphere/blob/master/parser/sql/dialect/sql92/src/main/java/org/apache/shardingsphere/sql/parser/sql92/parser/SQL92ParserFacade.java) |
| openGauss | SQL parser entry based on openGauss | [`org.apache.shardingsphere.sql.parser.opengauss.parser.OpenGaussParserFacade`](https://github.com/apache/shardingsphere/blob/master/parser/sql/dialect/opengauss/src/main/java/org/apache/shardingsphere/sql/parser/opengauss/parser/OpenGaussParserFacade.java) |
## SQLStatementVisitorFacade
### Fully-qualified class name
[`org.apache.shardingsphere.sql.parser.spi.SQLStatementVisitorFacade`](https://github.com/apache/shardingsphere/blob/master/parser/sql/spi/src/main/java/org/apache/shardingsphere/sql/parser/spi/SQLStatementVisitorFacade.java)
### Definition
SQL visitor facade class definition
### Implementation classes
| *Configuration Type* | *Description* | *Fully-qualified class name* |
|----------------------|--------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| MySQL | MySQL syntax tree visitor entry | [`org.apache.shardingsphere.sql.parser.mysql.visitor.statement.MySQLStatementVisitorFacade`](https://github.com/apache/shardingsphere/blob/master/parser/sql/dialect/mysql/src/main/java/org/apache/shardingsphere/sql/parser/mysql/visitor/statement/MySQLStatementVisitorFacade.java) |
| PostgreSQL | PostgreSQL syntax tree visitor entry | [`org.apache.shardingsphere.sql.parser.postgresql.visitor.statement.PostgreSQLStatementVisitorFacade`](https://github.com/apache/shardingsphere/blob/master/parser/sql/dialect/postgresql/src/main/java/org/apache/shardingsphere/sql/parser/postgresql/visitor/statement/PostgreSQLStatementVisitorFacade.java) |
| SQLServer | SQLServer syntax tree visitor entry | [`org.apache.shardingsphere.sql.parser.sqlserver.visitor.statement.SQLServerStatementVisitorFacade`](https://github.com/apache/shardingsphere/blob/master/parser/sql/dialect/sqlserver/src/main/java/org/apache/shardingsphere/sql/parser/sqlserver/visitor/statement/SQLServerStatementVisitorFacade.java) |
| Oracle | Oracle syntax tree visitor entry | [`org.apache.shardingsphere.sql.parser.oracle.visitor.statement.OracleStatementVisitorFacade`](https://github.com/apache/shardingsphere/blob/master/parser/sql/dialect/oracle/src/main/java/org/apache/shardingsphere/sql/parser/oracle/visitor/statement/OracleStatementVisitorFacade.java) |
| SQL92 | SQL92 syntax tree visitor entry | [`org.apache.shardingsphere.sql.parser.sql92.visitor.statement.SQL92StatementVisitorFacade`](https://github.com/apache/shardingsphere/blob/master/parser/sql/dialect/sql92/src/main/java/org/apache/shardingsphere/sql/parser/sql92/visitor/statement/SQL92StatementVisitorFacade.java) |
| openGauss | openGauss syntax tree visitor entry | [`org.apache.shardingsphere.sql.parser.opengauss.visitor.statement.OpenGaussStatementVisitorFacade`](https://github.com/apache/shardingsphere/blob/master/parser/sql/dialect/opengauss/src/main/java/org/apache/shardingsphere/sql/parser/opengauss/visitor/statement/OpenGaussStatementVisitorFacade.java) |
=====================================================
== File: docs/document/content/dev-manual/sharding.cn.md
=====================================================
+++
pre = "<b>5.3. </b>"
title = "数据分片"
weight = 3
chapter = true
+++
## ShardingAlgorithm
### 全限定类名
[`org.apache.shardingsphere.sharding.spi.ShardingAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/sharding/api/src/main/java/org/apache/shardingsphere/sharding/spi/ShardingAlgorithm.java)
### 定义
分片算法
### 已知实现
| *配置标识* | *自动分片算法* | *详细说明* | *全限定类名* |
|--------------------------|----------|---------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| MOD | Y | 基于取模的分片算法 | [`org.apache.shardingsphere.sharding.algorithm.sharding.mod.ModShardingAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/sharding/core/src/main/java/org/apache/shardingsphere/sharding/algorithm/sharding/mod/ModShardingAlgorithm.java) |
| HASH_MOD | Y | 基于哈希取模的分片算法 | [`org.apache.shardingsphere.sharding.algorithm.sharding.mod.HashModShardingAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/sharding/core/src/main/java/org/apache/shardingsphere/sharding/algorithm/sharding/mod/HashModShardingAlgorithm.java) |
| BOUNDARY_RANGE | Y | 基于分片边界的范围分片算法 | [`org.apache.shardingsphere.sharding.algorithm.sharding.range.BoundaryBasedRangeShardingAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/sharding/core/src/main/java/org/apache/shardingsphere/sharding/algorithm/sharding/range/BoundaryBasedRangeShardingAlgorithm.java) |
| VOLUME_RANGE | Y | 基于分片容量的范围分片算法 | [`org.apache.shardingsphere.sharding.algorithm.sharding.range.VolumeBasedRangeShardingAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/sharding/core/src/main/java/org/apache/shardingsphere/sharding/algorithm/sharding/range/VolumeBasedRangeShardingAlgorithm.java) |
| AUTO_INTERVAL | Y | 基于可变时间范围的分片算法 | [`org.apache.shardingsphere.sharding.algorithm.sharding.datetime.AutoIntervalShardingAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/sharding/core/src/main/java/org/apache/shardingsphere/sharding/algorithm/sharding/datetime/AutoIntervalShardingAlgorithm.java) |
| INTERVAL | N | 基于固定时间范围的分片算法 | [`org.apache.shardingsphere.sharding.algorithm.sharding.datetime.IntervalShardingAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/sharding/core/src/main/java/org/apache/shardingsphere/sharding/algorithm/sharding/datetime/IntervalShardingAlgorithm.java) |
| CLASS_BASED | N | 基于自定义类的分片算法 | [`org.apache.shardingsphere.sharding.algorithm.sharding.classbased.ClassBasedShardingAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/sharding/core/src/main/java/org/apache/shardingsphere/sharding/algorithm/sharding/classbased/ClassBasedShardingAlgorithm.java) |
| INLINE | N | 基于行表达式的分片算法 | [`org.apache.shardingsphere.sharding.algorithm.sharding.inline.InlineShardingAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/sharding/core/src/main/java/org/apache/shardingsphere/sharding/algorithm/sharding/inline/InlineShardingAlgorithm.java) |
| COMPLEX_INLINE | N | 基于行表达式的复合分片算法 | [`org.apache.shardingsphere.sharding.algorithm.sharding.complex.ComplexInlineShardingAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/sharding/core/src/main/java/org/apache/shardingsphere/sharding/algorithm/sharding/inline/ComplexInlineShardingAlgorithm.java) |
| HINT_INLINE | N | 基于行表达式的 Hint 分片算法 | [`org.apache.shardingsphere.sharding.algorithm.sharding.hint.HintInlineShardingAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/sharding/core/src/main/java/org/apache/shardingsphere/sharding/algorithm/sharding/hint/HintInlineShardingAlgorithm.java) |
## ShardingAuditAlgorithm
### 全限定类名
[`org.apache.shardingsphere.sharding.spi.ShardingAuditAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/sharding/api/src/main/java/org/apache/shardingsphere/sharding/spi/ShardingAuditAlgorithm.java)
### 定义
分片审计算法
### 已知实现
| *配置标识* | *详细说明* | *全限定类名* |
|-------------------------|-----------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| DML_SHARDING_CONDITIONS | 禁止不带分片键的DML审计算法 | [`org.apache.shardingsphere.sharding.algorithm.audit.DMLShardingConditionsShardingAuditAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/sharding/core/src/main/java/org/apache/shardingsphere/sharding/algorithm/audit/DMLShardingConditionsShardingAuditAlgorithm.java) |
## DatetimeService
=====================================================
== File: docs/document/content/dev-manual/mode.en.md
=====================================================
+++
pre = "<b>5.1. </b>"
title = "Mode"
weight = 1
chapter = true
+++
## StandalonePersistRepository
### Fully-qualified class name
[`org.apache.shardingsphere.mode.repository.standalone.StandalonePersistRepository`](https://github.com/apache/shardingsphere/blob/master/mode/type/standalone/repository/api/src/main/java/org/apache/shardingsphere/mode/repository/standalone/StandalonePersistRepository.java)
### Definition
Standalone mode configuration information persistence definition
### Implementation classes
| *Configuration Type* | *Description* | *Fully-qualified class name* |
|----------------------|------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| JDBC | JDBC-based persistence | [`org.apache.shardingsphere.mode.repository.standalone.jdbc.JDBCRepository`](https://github.com/apache/shardingsphere/blob/master/mode/type/standalone/repository/provider/jdbc/src/main/java/org/apache/shardingsphere/mode/repository/standalone/jdbc/JDBCRepository.java) |
## ClusterPersistRepository
### Fully-qualified class name
[`org.apache.shardingsphere.mode.repository.cluster.ClusterPersistRepository`](https://github.com/apache/shardingsphere/blob/master/mode/type/cluster/repository/api/src/main/java/org/apache/shardingsphere/mode/repository/cluster/ClusterPersistRepository.java)
### Definition
Cluster mode configuration information persistence definition
### Implementation classes
| *Configuration Type* | *Description* | *Fully-qualified class name* |
|----------------------|-----------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| ZooKeeper | ZooKeeper based persistence | [`org.apache.shardingsphere.mode.repository.cluster.zookeeper.ZookeeperRepository`](https://github.com/apache/shardingsphere/blob/master/mode/type/cluster/repository/provider/zookeeper/src/main/java/org/apache/shardingsphere/mode/repository/cluster/zookeeper/ZookeeperRepository.java) |
| etcd | Etcd based persistence | [`org.apache.shardingsphere.mode.repository.cluster.etcd.EtcdRepository`](https://github.com/apache/shardingsphere/blob/master/mode/type/cluster/repository/provider/etcd/src/main/java/org/apache/shardingsphere/mode/repository/cluster/etcd/EtcdRepository.java) |
=====================================================
== File: docs/document/content/dev-manual/sql-parser.cn.md
=====================================================
+++
pre = "<b>5.2. </b>"
title = "SQL 解析"
weight = 2
chapter = true
+++
## DatabaseTypedSQLParserFacade
### 全限定类名
[`org.apache.shardingsphere.sql.parser.spi.DialectSQLParserFacade`](https://github.com/apache/shardingsphere/blob/master/parser/sql/spi/src/main/java/org/apache/shardingsphere/sql/parser/spi/DialectSQLParserFacade.java)
### 定义
配置用于 SQL 解析的词法分析器和语法分析器入口
### 已知实现
| *配置标识* | *详细说明* | *全限定类名* |
|------------|---------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| MySQL | 基于 MySQL 的 SQL 解析器入口 | [`org.apache.shardingsphere.sql.parser.mysql.parser.MySQLParserFacade`](https://github.com/apache/shardingsphere/blob/master/parser/sql/dialect/mysql/src/main/java/org/apache/shardingsphere/sql/parser/mysql/parser/MySQLParserFacade.java) |
| PostgreSQL | 基于 PostgreSQL 的 SQL 解析器入口 | [`org.apache.shardingsphere.sql.parser.postgresql.parser.PostgreSQLParserFacade`](https://github.com/apache/shardingsphere/blob/master/parser/sql/dialect/postgresql/src/main/java/org/apache/shardingsphere/sql/parser/postgresql/parser/PostgreSQLParserFacade.java) |
| SQLServer | 基于 SQLServer 的 SQL 解析器入口 | [`org.apache.shardingsphere.sql.parser.sqlserver.parser.SQLServerParserFacade`](https://github.com/apache/shardingsphere/blob/master/parser/sql/dialect/sqlserver/src/main/java/org/apache/shardingsphere/sql/parser/sqlserver/parser/SQLServerParserFacade.java) |
| Oracle | 基于 Oracle 的 SQL 解析器入口 | [`org.apache.shardingsphere.sql.parser.oracle.parser.OracleParserFacade`](https://github.com/apache/shardingsphere/blob/master/parser/sql/dialect/oracle/src/main/java/org/apache/shardingsphere/sql/parser/oracle/parser/OracleParserFacade.java) |
| SQL92 | 基于 SQL92 的 SQL 解析器入口 | [`org.apache.shardingsphere.sql.parser.sql92.parser.SQL92ParserFacade`](https://github.com/apache/shardingsphere/blob/master/parser/sql/dialect/sql92/src/main/java/org/apache/shardingsphere/sql/parser/sql92/parser/SQL92ParserFacade.java) |
| openGauss | 基于 openGauss 的 SQL 解析器入口 | [`org.apache.shardingsphere.sql.parser.opengauss.parser.OpenGaussParserFacade`](https://github.com/apache/shardingsphere/blob/master/parser/sql/dialect/opengauss/src/main/java/org/apache/shardingsphere/sql/parser/opengauss/parser/OpenGaussParserFacade.java) |
## SQLStatementVisitorFacade
### 全限定类名
[`org.apache.shardingsphere.sql.parser.spi.SQLStatementVisitorFacade`](https://github.com/apache/shardingsphere/blob/master/parser/sql/spi/src/main/java/org/apache/shardingsphere/sql/parser/spi/SQLStatementVisitorFacade.java)
### 定义
SQL 语法树访问器入口
### 已知实现
| *配置标识* | *详细说明* | *全限定类名* |
|------------|------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| MySQL | 基于 MySQL 的 SQL 语法树访问器入口 | [`org.apache.shardingsphere.sql.parser.mysql.visitor.statement.MySQLStatementVisitorFacade`](https://github.com/apache/shardingsphere/blob/master/parser/sql/dialect/mysql/src/main/java/org/apache/shardingsphere/sql/parser/mysql/visitor/statement/MySQLStatementVisitorFacade.java) |
| PostgreSQL | 基于 PostgreSQL 的 SQL 语法树访问器入口 | [`org.apache.shardingsphere.sql.parser.postgresql.visitor.statement.PostgreSQLStatementVisitorFacade`](https://github.com/apache/shardingsphere/blob/master/parser/sql/dialect/postgresql/src/main/java/org/apache/shardingsphere/sql/parser/postgresql/visitor/statement/PostgreSQLStatementVisitorFacade.java) |
| SQLServer | 基于 SQLServer 的 SQL 语法树访问器入口 | [`org.apache.shardingsphere.sql.parser.sqlserver.visitor.statement.SQLServerStatementVisitorFacade`](https://github.com/apache/shardingsphere/blob/master/parser/sql/dialect/sqlserver/src/main/java/org/apache/shardingsphere/sql/parser/sqlserver/visitor/statement/SQLServerStatementVisitorFacade.java) |
| Oracle | 基于 Oracle 的 SQL 语法树访问器入口 | [`org.apache.shardingsphere.sql.parser.oracle.visitor.statement.OracleStatementVisitorFacade`](https://github.com/apache/shardingsphere/blob/master/parser/sql/dialect/oracle/src/main/java/org/apache/shardingsphere/sql/parser/oracle/visitor/statement/OracleStatementVisitorFacade.java) |
| SQL92 | 基于 SQL92 的 SQL 语法树访问器入口 | [`org.apache.shardingsphere.sql.parser.sql92.visitor.statement.SQL92StatementVisitorFacade`](https://github.com/apache/shardingsphere/blob/master/parser/sql/dialect/sql92/src/main/java/org/apache/shardingsphere/sql/parser/sql92/visitor/statement/SQL92StatementVisitorFacade.java) |
| openGauss | 基于 openGauss 的 SQL 语法树访问器入口 | [`org.apache.shardingsphere.sql.parser.opengauss.visitor.statement.OpenGaussStatementVisitorFacade`](https://github.com/apache/shardingsphere/blob/master/parser/sql/dialect/opengauss/src/main/java/org/apache/shardingsphere/sql/parser/opengauss/visitor/statement/OpenGaussStatementVisitorFacade.java) |
=====================================================
== File: docs/document/content/dev-manual/agent.cn.md
=====================================================
+++
pre = "<b>5.9. </b>"
title = "可观察性"
weight = 9
chapter = true
+++
## PluginLifecycleService
### 全限定类名
[`org.apache.shardingsphere.agent.spi.PluginLifecycleService`](https://github.com/apache/shardingsphere/blob/master/agent/api/src/main/java/org/apache/shardingsphere/agent/spi/PluginLifecycleService.java)
### 定义
插件生命周期管理接口
### 已知实现
| *配置标识* | *详细说明* | *全限定类名* |
|---------------|-------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| File | File 插件生命周期管理类 | [`org.apache.shardingsphere.agent.plugin.logging.file.FileLoggingPluginLifecycleService`](https://github.com/apache/shardingsphere/blob/master/agent/plugins/logging/type/file/src/main/java/org/apache/shardingsphere/agent/plugin/logging/file/FileLoggingPluginLifecycleService.java) |
| Prometheus | Prometheus 插件生命周期管理类 | [`org.apache.shardingsphere.agent.plugin.metrics.prometheus.PrometheusPluginLifecycleService`](https://github.com/apache/shardingsphere/blob/master/agent/plugins/metrics/type/prometheus/src/main/java/org/apache/shardingsphere/agent/plugin/metrics/prometheus/PrometheusPluginLifecycleService.java) |
| OpenTelemetry | OpenTelemetry 插件生命周期管理类 | [`org.apache.shardingsphere.agent.plugin.tracing.opentelemetry.OpenTelemetryTracingPluginLifecycleService`](https://github.com/apache/shardingsphere/blob/master/agent/plugins/tracing/type/opentelemetry/src/main/java/org/apache/shardingsphere/agent/plugin/tracing/opentelemetry/OpenTelemetryTracingPluginLifecycleService.java) |
=====================================================
== File: docs/document/content/dev-manual/mask.cn.md
=====================================================
+++
pre = "<b>5.7 </b>"
title = "数据脱敏"
weight = 7
chapter = true
+++
## MaskAlgorithm
### 全限定类名
[`org.apache.shardingsphere.mask.spi.MaskAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/mask/api/src/main/java/org/apache/shardingsphere/mask/spi/MaskAlgorithm.java)
### 定义
数据脱敏算法
### 已知实现
| *配置标识* | *详细说明* | *全限定类名* |
|-----------------------------------------|------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| MD5 | 基于 MD5 的数据脱敏算法 | [`org.apache.shardingsphere.mask.algorithm.hash.MD5MaskAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/mask/core/src/main/java/org/apache/shardingsphere/mask/algorithm/hash/MD5MaskAlgorithm.java) |
| KEEP_FIRST_N_LAST_M | 保留前 n 后 m 数据脱敏算法 | [`org.apache.shardingsphere.mask.algorithm.cover.KeepFirstNLastMMaskAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/mask/core/src/main/java/org/apache/shardingsphere/mask/algorithm/cover/KeepFirstNLastMMaskAlgorithm.java) |
| KEEP_FROM_X_TO_Y | 保留自 x 至 y 数据脱敏算法 | [`org.apache.shardingsphere.mask.algorithm.cover.KeepFromXToYMaskAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/mask/core/src/main/java/org/apache/shardingsphere/mask/algorithm/cover/KeepFromXToYMaskAlgorithm.java) |
| MASK_FIRST_N_LAST_M | 遮盖前 n 后 m 数据脱敏算法 | [`org.apache.shardingsphere.mask.algorithm.cover.MaskFirstNLastMMaskAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/mask/core/src/main/java/org/apache/shardingsphere/mask/algorithm/cover/MaskFirstNLastMMaskAlgorithm.java) |
| MASK_FROM_X_TO_Y | 遮盖自 x 至 y 数据脱敏算法 | [`org.apache.shardingsphere.mask.algorithm.cover.MaskFromXToYMaskAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/mask/core/src/main/java/org/apache/shardingsphere/mask/algorithm/cover/MaskFromXToYMaskAlgorithm.java) |
| MASK_BEFORE_SPECIAL_CHARS | 特殊字符前遮盖数据脱敏算法 | [`org.apache.shardingsphere.mask.algorithm.cover.MaskBeforeSpecialCharsAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/mask/core/src/main/java/org/apache/shardingsphere/mask/algorithm/cover/MaskBeforeSpecialCharsAlgorithm.java) |
| MASK_AFTER_SPECIAL_CHARS | 特殊字符后遮盖数据脱敏算法 | [`org.apache.shardingsphere.mask.algorithm.cover.MaskAfterSpecialCharsAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/mask/core/src/main/java/org/apache/shardingsphere/mask/algorithm/cover/MaskAfterSpecialCharsAlgorithm.java) |
| GENERIC_TABLE_RANDOM_REPLACE | 通⽤表格随机替换 | [`org.apache.shardingsphere.mask.algorithm.replace.GenericTableRandomReplaceAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/mask/core/src/main/java/org/apache/shardingsphere/mask/algorithm/replace/GenericTableRandomReplaceAlgorithm.java) |
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== File: docs/document/content/dev-manual/shadow.en.md
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+++
pre = "<b>5.8. </b>"
title = "Shadow DB"
weight = 8
chapter = true
+++
## ShadowAlgorithm
### Fully-qualified class name
[`org.apache.shardingsphere.shadow.spi.ShadowAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/shadow/api/src/main/java/org/apache/shardingsphere/shadow/spi/ShadowAlgorithm.java)
### Definition
Shadow algorithm's definition
### Implementation classes
| *Configuration Type* | *Description* | *Fully-qualified class name* |
|----------------------|--------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| VALUE_MATCH | Match shadow algorithms based on field values | [`org.apache.shardingsphere.shadow.algorithm.shadow.column.ColumnValueMatchedShadowAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/shadow/core/src/main/java/org/apache/shardingsphere/shadow/algorithm/shadow/column/ColumnValueMatchedShadowAlgorithm.java) |
| REGEX_MATCH | Regular matching shadow algorithm based on field value | [`org.apache.shardingsphere.shadow.algorithm.shadow.column.ColumnRegexMatchedShadowAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/shadow/core/src/main/java/org/apache/shardingsphere/shadow/algorithm/shadow/column/ColumnRegexMatchedShadowAlgorithm.java) |
| SQL_HINT | Shadow algorithm on sql hint | [`org.apache.shardingsphere.shadow.algorithm.shadow.hint.SQLHintShadowAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/shadow/core/src/main/java/org/apache/shardingsphere/shadow/algorithm/shadow/hint/SQLHintShadowAlgorithm.java) |
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== File: docs/document/content/dev-manual/infra-algorithm.cn.md
=====================================================
+++
pre = "<b>5.4. </b>"
title = "基础算法"
weight = 4
chapter = true
+++
## LoadBalanceAlgorithm
### 全限定类名
[`org.apache.shardingsphere.infra.algorithm.loadbalancer.core.LoadBalanceAlgorithm`](https://github.com/apache/shardingsphere/blob/master/infra/algorithm/load-balancer/core/src/main/java/org/apache/shardingsphere/infra/algorithm/loadbalancer/core/LoadBalanceAlgorithm.java)
### 定义
负载均衡算法，可以使用在读写分离、JDBC 双路由等功能中。
### 已知实现
| *配置标识* | *详细说明* | *全限定类名* |
|-------------|---------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| ROUND_ROBIN | 基于轮询的负载均衡算法 | [`org.apache.shardingsphere.infra.algorithm.loadbalancer.round.robin.RoundRobinLoadBalanceAlgorithm`](https://github.com/apache/shardingsphere/blob/master/infra/algorithm/load-balancer/type/round-robin/src/main/java/org/apache/shardingsphere/infra/algorithm/loadbalancer/round/robin/RoundRobinLoadBalanceAlgorithm.java) |
| RANDOM | 基于随机的负载均衡算法 | [`org.apache.shardingsphere.infra.algorithm.loadbalancer.random.RandomLoadBalanceAlgorithm`](https://github.com/apache/shardingsphere/blob/master/infra/algorithm/load-balancer/type/random/src/main/java/org/apache/shardingsphere/infra/algorithm/loadbalancer/random/RandomLoadBalanceAlgorithm.java) |
| WEIGHT | 基于权重的负载均衡算法 | [`org.apache.shardingsphere.infra.algorithm.loadbalancer.weight.WeightLoadBalanceAlgorithm`](https://github.com/apache/shardingsphere/blob/master/infra/algorithm/load-balancer/type/weight/src/main/java/org/apache/shardingsphere/infra/algorithm/loadbalancer/weight/WeightLoadBalanceAlgorithm.java) |
## KeyGenerateAlgorithm
### 全限定类名
[`org.apache.shardingsphere.keygen.core.algorithm.KeyGenerateAlgorithm`](https://github.com/apache/shardingsphere/blob/master/infra/algorithm/key-generator/core/src/main/java/org/apache/shardingsphere/infra/algorithm/keygen/core/KeyGenerateAlgorithm.java)
### 定义
分布式主键生成算法，可以使用在数据分片功能中。
### 已知实现
| *配置标识* | *详细说明* | *全限定类名* |
|-----------------|--------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| SNOWFLAKE | 基于雪花算法的分布式主键生成算法 | [`org.apache.shardingsphere.keygen.snowflake.algorithm.SnowflakeKeyGenerateAlgorithm`](https://github.com/apache/shardingsphere/blob/master/infra/algorithm/key-generator/type/snowflake/src/main/java/org/apache/shardingsphere/infra/algorithm/keygen/snowflake/SnowflakeKeyGenerateAlgorithm.java) |
| UUID | 基于 UUID 的分布式主键生成算法 | [`org.apache.shardingsphere.keygen.uuid.algorithm.UUIDKeyGenerateAlgorithm`](https://github.com/apache/shardingsphere/blob/master/infra/algorithm/key-generator/type/uuid/src/main/java/org/apache/shardingsphere/infra/algorithm/keygen/uuid/UUIDKeyGenerateAlgorithm.java) |
## MessageDigestAlgorithm
### 全限定类名
[`org.apache.shardingsphere.infra.algorithm.messagedigest.core.MessageDigestAlgorithm`](https://github.com/apache/shardingsphere/blob/master/infra/algorithm/message-digest/core/src/main/java/org/apache/shardingsphere/infra/algorithm/messagedigest/core/MessageDigestAlgorithm.java)
### 定义
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== File: docs/document/content/dev-manual/encrypt.en.md
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+++
pre = "<b>5.6. </b>"
title = "Encryption"
weight = 6
chapter = true
+++
## EncryptAlgorithm
### Fully-qualified class name
[`org.apache.shardingsphere.encrypt.spi.EncryptAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/encrypt/api/src/main/java/org/apache/shardingsphere/encrypt/spi/EncryptAlgorithm.java)
### Definition
Data encrypt algorithm definition
### Implementation classes
| *Configuration Type* | *Description* | *Fully-qualified class name* |
|----------------------|---------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| AES | AES data encrypt algorithm | [`org.apache.shardingsphere.encrypt.algorithm.encrypt.AESEncryptAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/encrypt/core/src/main/java/org/apache/shardingsphere/encrypt/algorithm/standard/AESEncryptAlgorithm.java) |
| MD5 | MD5 assisted query encrypt algorithm | [`org.apache.shardingsphere.encrypt.algorithm.encrypt.MD5EncryptAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/encrypt/core/src/main/java/org/apache/shardingsphere/encrypt/algorithm/assisted/MD5AssistedEncryptAlgorithm.java) |
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+++
pre = "<b>5. </b>"
title = "开发者手册"
weight = 5
chapter = true
+++
Apache ShardingSphere 可插拔架构提供了数十个基于 SPI 的扩展点。对于开发者来说，可以十分方便的对功能进行定制化扩展。
本章节将 Apache ShardingSphere 的 SPI 扩展点悉数列出。
如无特殊需求，用户可以使用 Apache ShardingSphere 提供的内置实现；高级用户则可以参考各个功能模块的接口进行自定义实现。
Apache ShardingSphere 社区非常欢迎开发者将自己的实现类反馈至[开源社区](https://github.com/apache/shardingsphere/pulls)，让更多用户从中收益。
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== File: docs/document/content/dev-manual/shadow.cn.md
=====================================================
+++
pre = "<b>5.8. </b>"
title = "影子库"
weight = 8
chapter = true
+++
## ShadowAlgorithm
### 全限定类名
[`org.apache.shardingsphere.shadow.spi.ShadowAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/shadow/api/src/main/java/org/apache/shardingsphere/shadow/spi/ShadowAlgorithm.java)
### 定义
影子库提供的影子算法
### 已知实现
| *配置表示* | *详细说明* | *完全限定类名* |
|-------------|-------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| VALUE_MATCH | 基于字段值匹配影子算法 | [`org.apache.shardingsphere.shadow.algorithm.shadow.column.ColumnValueMatchedShadowAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/shadow/core/src/main/java/org/apache/shardingsphere/shadow/algorithm/shadow/column/ColumnValueMatchedShadowAlgorithm.java) |
| REGEX_MATCH | 基于字段值正则匹配影子算法 | [`org.apache.shardingsphere.shadow.algorithm.shadow.column.ColumnRegexMatchedShadowAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/shadow/core/src/main/java/org/apache/shardingsphere/shadow/algorithm/shadow/column/ColumnRegexMatchedShadowAlgorithm.java) |
| SQL_HINT | 基于 SQL Hint 的影子算法 | [`org.apache.shardingsphere.shadow.algorithm.shadow.hint.SQLHintShadowAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/shadow/core/src/main/java/org/apache/shardingsphere/shadow/algorithm/shadow/hint/SQLHintShadowAlgorithm.java) |
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+++
pre = "<b>5.1. </b>"
title = "运行模式"
weight = 1
chapter = true
+++
## StandalonePersistRepository
### 全限定类名
[`org.apache.shardingsphere.mode.repository.standalone.StandalonePersistRepository`](https://github.com/apache/shardingsphere/blob/master/mode/type/standalone/repository/api/src/main/java/org/apache/shardingsphere/mode/repository/standalone/StandalonePersistRepository.java)
### 定义
单机模式配置信息持久化定义
### 已知实现
| *配置标识* | *详细说明* | *全限定类名* |
|--------|--------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| JDBC | 基于 JDBC 的持久化 | [`org.apache.shardingsphere.mode.repository.standalone.jdbc.JDBCRepository`](https://github.com/apache/shardingsphere/blob/master/mode/type/standalone/repository/provider/jdbc/src/main/java/org/apache/shardingsphere/mode/repository/standalone/jdbc/JDBCRepository.java) |
## ClusterPersistRepository
### 全限定类名
[`org.apache.shardingsphere.mode.repository.cluster.ClusterPersistRepository`](https://github.com/apache/shardingsphere/blob/master/mode/type/cluster/repository/api/src/main/java/org/apache/shardingsphere/mode/repository/cluster/ClusterPersistRepository.java)
### 定义
集群模式配置信息持久化定义
### 已知实现
| *配置标识* | *详细说明* | *全限定类名* |
|-----------|-------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| ZooKeeper | 基于 ZooKeeper 的持久化 | [`org.apache.shardingsphere.mode.repository.cluster.zookeeper.ZookeeperRepository`](https://github.com/apache/shardingsphere/blob/master/mode/type/cluster/repository/provider/zookeeper/src/main/java/org/apache/shardingsphere/mode/repository/cluster/zookeeper/ZookeeperRepository.java) |
| etcd | 基于 Etcd 的持久化 | [`org.apache.shardingsphere.mode.repository.cluster.etcd.EtcdRepository`](https://github.com/apache/shardingsphere/blob/master/mode/type/cluster/repository/provider/etcd/src/main/java/org/apache/shardingsphere/mode/repository/cluster/etcd/EtcdRepository.java) |
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== File: docs/document/content/dev-manual/mask.en.md
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+++
pre = "<b>5.7. </b>"
title = "Data Masking"
weight = 7
chapter = true
+++
## MaskAlgorithm
### Fully-qualified class name
[`org.apache.shardingsphere.mask.spi.MaskAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/mask/api/src/main/java/org/apache/shardingsphere/mask/spi/MaskAlgorithm.java)
### Definition
Data masking algorithm definition
### Implementation classes
| *Configuration Type* | *Description* | *Fully-qualified class name* |
|-----------------------------------------|----------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| MD5 | Data masking algorithm based on MD5 | [`org.apache.shardingsphere.mask.algorithm.hash.MD5MaskAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/mask/core/src/main/java/org/apache/shardingsphere/mask/algorithm/hash/MD5MaskAlgorithm.java) |
| KEEP_FIRST_N_LAST_M | Keep first n last m data masking algorithm | [`org.apache.shardingsphere.mask.algorithm.cover.KeepFirstNLastMMaskAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/mask/core/src/main/java/org/apache/shardingsphere/mask/algorithm/cover/KeepFirstNLastMMaskAlgorithm.java) |
| KEEP_FROM_X_TO_Y | Keep from x to y data masking algorithm | [`org.apache.shardingsphere.mask.algorithm.cover.KeepFromXToYMaskAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/mask/core/src/main/java/org/apache/shardingsphere/mask/algorithm/cover/KeepFromXToYMaskAlgorithm.java) |
| MASK_FIRST_N_LAST_M | Mask first n last m data masking algorithm | [`org.apache.shardingsphere.mask.algorithm.cover.MaskFirstNLastMMaskAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/mask/core/src/main/java/org/apache/shardingsphere/mask/algorithm/cover/MaskFirstNLastMMaskAlgorithm.java) |
| MASK_FROM_X_TO_Y | Mask from x to y data masking algorithm | [`org.apache.shardingsphere.mask.algorithm.cover.MaskFromXToYMaskAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/mask/core/src/main/java/org/apache/shardingsphere/mask/algorithm/cover/MaskFromXToYMaskAlgorithm.java) |
| MASK_BEFORE_SPECIAL_CHARS | Mask before special chars data masking algorithm | [`org.apache.shardingsphere.mask.algorithm.cover.MaskBeforeSpecialCharsAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/mask/core/src/main/java/org/apache/shardingsphere/mask/algorithm/cover/MaskBeforeSpecialCharsAlgorithm.java) |
| MASK_AFTER_SPECIAL_CHARS | Mask after special chars data masking algorithm | [`org.apache.shardingsphere.mask.algorithm.cover.MaskAfterSpecialCharsAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/mask/core/src/main/java/org/apache/shardingsphere/mask/algorithm/cover/MaskAfterSpecialCharsAlgorithm.java) |
| GENERIC_TABLE_RANDOM_REPLACE | Generic table random replace algorithm | [`org.apache.shardingsphere.mask.algorithm.replace.GenericTableRandomReplaceAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/mask/core/src/main/java/org/apache/shardingsphere/mask/algorithm/replace/GenericTableRandomReplaceAlgorithm.java) |
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== File: docs/document/content/dev-manual/sql-audit.cn.md
=====================================================
+++
pre = "<b>5.5. </b>"
title = "SQL 审计"
weight = 5
chapter = true
+++
## SQLAuditor
### 全限定类名
[`org.apache.shardingsphere.infra.executor.audit.SQLAuditor`](https://github.com/apache/shardingsphere/blob/master/infra/executor/src/main/java/org/apache/shardingsphere/infra/executor/audit/SQLAuditor.java)
### 定义
SQL 审计定义接口
### 已知实现
| *配置标识* | *详细说明* | *全限定类名* |
|----------|------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Sharding | 分片 SQL 审计器 | [`org.apache.shardingsphere.sharding.auditor.ShardingSQLAuditor`](https://github.com/apache/shardingsphere/blob/master/features/sharding/core/src/main/java/org/apache/shardingsphere/sharding/auditor/ShardingSQLAuditor.java) |
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== File: docs/document/content/dev-manual/_index.en.md
=====================================================
+++
pre = "<b>5. </b>"
title = "Dev Manual"
weight = 5
chapter = true
+++
Apache ShardingSphere provides dozens of SPI based extensions.
it is very convenient to customize the functions for developers.
This chapter lists all SPI extensions of Apache ShardingSphere.
If there is no special requirement, users can use the built-in implementation provided by Apache ShardingSphere;
advanced users can refer to the interfaces for customized implementation.
Apache ShardingSphere community welcomes developers to feed back their implementations to the [open-source community](https://github.com/apache/shardingsphere/pulls),
so that more users can benefit from it.
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== File: docs/document/content/dev-manual/agent.en.md
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+++
pre = "<b>5.9. </b>"
title = "Observability"
weight = 9
chapter = true
+++
## PluginLifecycleService
### Fully-qualified class name
[`org.apache.shardingsphere.agent.spi.PluginLifecycleService`](https://github.com/apache/shardingsphere/blob/master/agent/api/src/main/java/org/apache/shardingsphere/agent/spi/PluginLifecycleService.java)
### Definition
Plug lifecycle management interface
### Implementation classes
| *Configuration Type* | *Description* | *Fully-qualified class name* |
|----------------------|------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| File | Logging plug lifecycle management class | [`org.apache.shardingsphere.agent.plugin.logging.file.FileLoggingPluginLifecycleService`](https://github.com/apache/shardingsphere/blob/master/agent/plugins/logging/type/file/src/main/java/org/apache/shardingsphere/agent/plugin/logging/file/FileLoggingPluginLifecycleService.java) |
| Prometheus | Prometheus plug lifecycle management class | [`org.apache.shardingsphere.agent.plugin.metrics.prometheus.PrometheusPluginLifecycleService`](https://github.com/apache/shardingsphere/blob/master/agent/plugins/metrics/type/prometheus/src/main/java/org/apache/shardingsphere/agent/plugin/metrics/prometheus/PrometheusPluginLifecycleService.java) |
| OpenTelemetry | OpenTelemetryTracing plug lifecycle management class | [`org.apache.shardingsphere.agent.plugin.tracing.opentelemetry.OpenTelemetryTracingPluginLifecycleService`](https://github.com/apache/shardingsphere/blob/master/agent/plugins/tracing/type/opentelemetry/src/main/java/org/apache/shardingsphere/agent/plugin/tracing/opentelemetry/OpenTelemetryTracingPluginLifecycleService.java) |
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== File: docs/document/content/dev-manual/sql-audit.en.md
=====================================================
+++
pre = "<b>5.5. </b>"
title = "SQL Audit"
weight = 5
chapter = true
+++
## SQLAuditor
### Fully-qualified class name
[`org.apache.shardingsphere.infra.executor.audit.SQLAuditor`](https://github.com/apache/shardingsphere/blob/master/infra/executor/src/main/java/org/apache/shardingsphere/infra/executor/audit/SQLAuditor.java)
### Definition
SQL auditor class definition
### Implementation classes
| *Configuration Type* | *Description* | *Fully-qualified class name* |
|----------------------|------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Sharding | Sharding auditor | [`org.apache.shardingsphere.sharding.auditor.ShardingSQLAuditor`](https://github.com/apache/shardingsphere/blob/master/features/sharding/core/src/main/java/org/apache/shardingsphere/sharding/auditor/ShardingSQLAuditor.java) |
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== File: docs/document/content/dev-manual/sharding.en.md
=====================================================
+++
pre = "<b>5.3. </b>"
title = "Data Sharding"
weight = 3
chapter = true
+++
## ShardingAlgorithm
### Fully-qualified class name
[`org.apache.shardingsphere.sharding.spi.ShardingAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/sharding/api/src/main/java/org/apache/shardingsphere/sharding/spi/ShardingAlgorithm.java)
### Definition
Sharding Algorithm definition
### Implementation classes
| *Configuration Type* | *Auto Create Tables* | *Description* | *Fully-qualified class name* |
|--------------------------|----------------------|-------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| MOD | Y | Modulo sharding algorithm | [`org.apache.shardingsphere.sharding.algorithm.sharding.mod.ModShardingAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/sharding/core/src/main/java/org/apache/shardingsphere/sharding/algorithm/sharding/mod/ModShardingAlgorithm.java) |
| HASH_MOD | Y | Hash modulo sharding algorithm | [`org.apache.shardingsphere.sharding.algorithm.sharding.mod.HashModShardingAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/sharding/core/src/main/java/org/apache/shardingsphere/sharding/algorithm/sharding/mod/HashModShardingAlgorithm.java) |
| BOUNDARY_RANGE | Y | Boundary based range sharding algorithm | [`org.apache.shardingsphere.sharding.algorithm.sharding.range.BoundaryBasedRangeShardingAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/sharding/core/src/main/java/org/apache/shardingsphere/sharding/algorithm/sharding/range/BoundaryBasedRangeShardingAlgorithm.java) |
| VOLUME_RANGE | Y | Volume based range sharding algorithm | [`org.apache.shardingsphere.sharding.algorithm.sharding.range.VolumeBasedRangeShardingAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/sharding/core/src/main/java/org/apache/shardingsphere/sharding/algorithm/sharding/range/VolumeBasedRangeShardingAlgorithm.java) |
| AUTO_INTERVAL | Y | Mutable interval sharding algorithm | [`org.apache.shardingsphere.sharding.algorithm.sharding.datetime.AutoIntervalShardingAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/sharding/core/src/main/java/org/apache/shardingsphere/sharding/algorithm/sharding/datetime/AutoIntervalShardingAlgorithm.java) |
| INTERVAL | N | Fixed interval sharding algorithm | [`org.apache.shardingsphere.sharding.algorithm.sharding.datetime.IntervalShardingAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/sharding/core/src/main/java/org/apache/shardingsphere/sharding/algorithm/sharding/datetime/IntervalShardingAlgorithm.java) |
| CLASS_BASED | N | Class based sharding algorithm | [`org.apache.shardingsphere.sharding.algorithm.sharding.classbased.ClassBasedShardingAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/sharding/core/src/main/java/org/apache/shardingsphere/sharding/algorithm/sharding/classbased/ClassBasedShardingAlgorithm.java) |
| INLINE | N | Inline sharding algorithm | [`org.apache.shardingsphere.sharding.algorithm.sharding.inline.InlineShardingAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/sharding/core/src/main/java/org/apache/shardingsphere/sharding/algorithm/sharding/inline/InlineShardingAlgorithm.java) |
| COMPLEX_INLINE | N | Complex inline sharding algorithm | [`org.apache.shardingsphere.sharding.algorithm.sharding.complex.ComplexInlineShardingAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/sharding/core/src/main/java/org/apache/shardingsphere/sharding/algorithm/sharding/inline/ComplexInlineShardingAlgorithm.java) |
| HINT_INLINE | N | Hint inline sharding algorithm | [`org.apache.shardingsphere.sharding.algorithm.sharding.hint.HintInlineShardingAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/sharding/core/src/main/java/org/apache/shardingsphere/sharding/algorithm/sharding/hint/HintInlineShardingAlgorithm.java) |
## ShardingAuditAlgorithm
### Fully-qualified class name
[`org.apache.shardingsphere.sharding.spi.ShardingAuditAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/sharding/api/src/main/java/org/apache/shardingsphere/sharding/spi/ShardingAuditAlgorithm.java)
### Definition
Sharding audit algorithm definition
### Implementation classes
| *Configuration Type* | *Description* | *Fully-qualified class name* |
|-------------------------|-------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| DML_SHARDING_CONDITIONS | Prohibit DML auditing algorithm without sharding conditions | [`org.apache.shardingsphere.sharding.algorithm.audit.DMLShardingConditionsShardingAuditAlgorithm`](https://github.com/apache/shardingsphere/blob/master/features/sharding/core/src/main/java/org/apache/shardingsphere/sharding/algorithm/audit/DMLShardingConditionsShardingAuditAlgorithm.java) |
## DatetimeService
=====================================================
== File: docs/document/content/dev-manual/infra-algorithm.en.md
=====================================================
+++
pre = "<b>5.4. </b>"
title = "Infra algorithm"
weight = 4
chapter = true
+++
## LoadBalanceAlgorithm
### Fully-qualified class name
[`org.apache.shardingsphere.infra.algorithm.loadbalancer.core.LoadBalanceAlgorithm`](https://github.com/apache/shardingsphere/blob/master/infra/algorithm/load-balancer/core/src/main/java/org/apache/shardingsphere/infra/algorithm/loadbalancer/core/LoadBalanceAlgorithm.java)
### Definition
Load balance algorithms, they can be used in readwrite-splitting and traffic features.
### Implementation classes
| *Configuration Type* | *Description* | *Fully-qualified class name* |
|----------------------|--------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| ROUND_ROBIN | load balancer algorithm based on polling | [`org.apache.shardingsphere.infra.algorithm.loadbalancer.round.robin.RoundRobinLoadBalanceAlgorithm`](https://github.com/apache/shardingsphere/blob/master/infra/algorithm/load-balancer/type/round-robin/src/main/java/org/apache/shardingsphere/infra/algorithm/loadbalancer/round/robin/RoundRobinLoadBalanceAlgorithm.java) |
| RANDOM | load balancer algorithm based on random | [`org.apache.shardingsphere.infra.algorithm.loadbalancer.random.RandomLoadBalanceAlgorithm`](https://github.com/apache/shardingsphere/blob/master/infra/algorithm/load-balancer/type/random/src/main/java/org/apache/shardingsphere/infra/algorithm/loadbalancer/random/RandomLoadBalanceAlgorithm.java) |
| WEIGHT | load balancer algorithm based on weight | [`org.apache.shardingsphere.infra.algorithm.loadbalancer.weight.WeightLoadBalanceAlgorithm`](https://github.com/apache/shardingsphere/blob/master/infra/algorithm/load-balancer/type/weight/src/main/java/org/apache/shardingsphere/infra/algorithm/loadbalancer/weight/WeightLoadBalanceAlgorithm.java) |
## KeyGenerateAlgorithm
### Fully-qualified class name
[`org.apache.shardingsphere.keygen.core.algorithm.KeyGenerateAlgorithm`](https://github.com/apache/shardingsphere/blob/master/infra/algorithm/key-generator/core/src/main/java/org/apache/shardingsphere/infra/algorithm/keygen/core/KeyGenerateAlgorithm.java)
### Definition
Distributed key generated algorithms, they can be used in sharding feature.
### Implementation classes
| *Configuration Type* | *Description* | *Fully-qualified class name* |
|----------------------|----------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| SNOWFLAKE | Snowflake key generate algorithm | [`org.apache.shardingsphere.keygen.snowflake.algorithm.SnowflakeKeyGenerateAlgorithm`](https://github.com/apache/shardingsphere/blob/master/infra/algorithm/key-generator/type/snowflake/src/main/java/org/apache/shardingsphere/infra/algorithm/keygen/snowflake/SnowflakeKeyGenerateAlgorithm.java) |
| UUID | UUID key generate algorithm | [`org.apache.shardingsphere.keygen.uuid.algorithm.UUIDKeyGenerateAlgorithm`](https://github.com/apache/shardingsphere/blob/master/infra/algorithm/key-generator/type/uuid/src/main/java/org/apache/shardingsphere/infra/algorithm/keygen/uuid/UUIDKeyGenerateAlgorithm.java) |
## MessageDigestAlgorithm
### Fully-qualified class name
[`org.apache.shardingsphere.infra.algorithm.messagedigest.core.MessageDigestAlgorithm`](https://github.com/apache/shardingsphere/blob/master/infra/algorithm/message-digest/core/src/main/java/org/apache/shardingsphere/infra/algorithm/messagedigest/core/MessageDigestAlgorithm.java)
### Definition
=====================================================
== File: docs/document/content/faq/_index.cn.md
=====================================================
+++
pre = "<b>8. </b>"
title = "FAQ"
weight = 8
chapter = true
+++
## JDBC
### [JDBC] 引入 `shardingsphere-transaction-xa-core` 后，如何避免 spring-boot 自动加载默认的 JtaTransactionManager？
回答:
1. 需要在 spring-boot 的引导类中添加 `@SpringBootApplication(exclude = JtaAutoConfiguration.class)`。
### [JDBC] Oracle 表名、字段名配置大小写在加载 `metadata` 元数据时结果不正确？
回答：
需要注意，Oracle 表名和字段名，默认元数据都是大写，除非建表语句中带双引号，如 `CREATE TABLE "TableName"("Id" number)` 元数据为双引号中内容，可参考以下SQL查看元数据的具体情况：
```sql
SELECT OWNER, TABLE_NAME, COLUMN_NAME, DATA_TYPE FROM ALL_TAB_COLUMNS WHERE TABLE_NAME IN ('TableName')
```
ShardingSphere 使用 `OracleTableMetaDataLoader` 对 Oracle 元数据进行加载，配置时需确保表名、字段名的大小写配置与数据库中的一致。
ShardingSphere 查询元数据关键SQL:
```java
private String getTableMetaDataSQL(final Collection<String> tables, final DatabaseMetaData metaData) throws SQLException {
StringBuilder stringBuilder = new StringBuilder(28);
if (versionContainsIdentityColumn(metaData)) {
stringBuilder.append(", IDENTITY_COLUMN");
}
if (versionContainsCollation(metaData)) {
stringBuilder.append(", COLLATION");
}
String collation = stringBuilder.toString();
return tables.isEmpty() ? String.format(TABLE_META_DATA_SQL, collation)
: String.format(TABLE_META_DATA_SQL_IN_TABLES, collation, tables.stream().map(each -> String.format("'%s'", each)).collect(Collectors.joining(",")));
}
```
### [JDBC] 使用 MySQL XA 事务时报 `SQLException: Unable to unwrap to interface com.mysql.jdbc.Connection` 异常
回答：
多个 MySQL 驱动之间不兼容。由于优先加载了类路径下 MySQL5 版本的驱动类，当试图调用 MySQL8 驱动里的 `unwrap` 方法时，类型转换异常。
解决方案：
检查类路径下是否同时存在 MySQL5 和 MySQL8 的驱动，只保留对应版本的一个驱动包即可。
异常堆栈如下：
```
=====================================================
== File: docs/document/content/faq/_index.en.md
=====================================================
+++
pre = "<b>8. </b>"
title = "FAQ"
weight = 8
chapter = true
+++
## JDBC
### [JDBC] Found a JtaTransactionManager in spring boot project when integrating with XAtransaction.
Answer:
1. `shardingsphere-transaction-xa-core` include atomikos, it will trigger auto-configuration mechanism in spring-boot, add `@SpringBootApplication(exclude = JtaAutoConfiguration.class)` will solve it.
### [JDBC] The tableName and columnName configured in yaml or properties leading incorrect result when loading Oracle metadata？
Answer:
Note that, in Oracle's metadata, the tableName and columnName is default UPPERCASE, while double-quoted such as `CREATE TABLE "TableName"("Id" number)` the tableName and columnName is the actual content double-quoted, refer to the following SQL for the reality in metadata:
```sql
SELECT OWNER, TABLE_NAME, COLUMN_NAME, DATA_TYPE FROM ALL_TAB_COLUMNS WHERE TABLE_NAME IN ('TableName')
```
ShardingSphere uses the `OracleTableMetaDataLoader` to load the metadata, keep the tableName and columnName in the yaml or properties consistent with the metadata.
ShardingSphere assembled the SQL using the following code:
```java
private String getTableMetaDataSQL(final Collection<String> tables, final DatabaseMetaData metaData) throws SQLException {
StringBuilder stringBuilder = new StringBuilder(28);
if (versionContainsIdentityColumn(metaData)) {
stringBuilder.append(", IDENTITY_COLUMN");
}
if (versionContainsCollation(metaData)) {
stringBuilder.append(", COLLATION");
}
String collation = stringBuilder.toString();
return tables.isEmpty() ? String.format(TABLE_META_DATA_SQL, collation)
: String.format(TABLE_META_DATA_SQL_IN_TABLES, collation, tables.stream().map(each -> String.format("'%s'", each)).collect(Collectors.joining(",")));
}
```
### [JDBC] `SQLException: Unable to unwrap to interface com.mysql.jdbc.Connection` exception thrown when using MySQL XA transaction
Answer:
Incompatibility between multiple MySQL drivers. Because the MySQL5 version of the driver class under the class path is loaded first, when trying to call the `unwrap` method in the MySQL8 driver, the type conversion exception occurs.
The solutions:
Check whether there are both MySQL5 and MySQL8 drivers in the class path, and only keep one driver package of the corresponding version.
The exception stack is as follows:
=====================================================
== File: docs/document/content/downloads/_index.en.md
=====================================================
+++
pre = "<b>9. </b>"
title = "Downloads"
weight = 9
chapter = true
extracss = true
+++
## Latest Releases
Apache ShardingSphere is released as source code tarballs with corresponding binary tarballs for convenience.
The downloads are distributed via mirror sites and should be checked for tampering using GPG or SHA-512.
##### Apache ShardingSphere - Version: 5.4.1 ( Release Date: October 18th, 2023 )
- Source Codes: [<u>SRC</u>](https://www.apache.org/dyn/closer.lua/shardingsphere/5.4.1/apache-shardingsphere-5.4.1-src.zip) ( [<u>ASC</u>](https://downloads.apache.org/shardingsphere/5.4.1/apache-shardingsphere-5.4.1-src.zip.asc), [<u>SHA512</u>](https://downloads.apache.org/shardingsphere/5.4.1/apache-shardingsphere-5.4.1-src.zip.sha512) )
- ShardingSphere-JDBC Binary Distribution: [<u>TAR</u>](https://www.apache.org/dyn/closer.lua/shardingsphere/5.4.1/apache-shardingsphere-5.4.1-shardingsphere-jdbc-bin.tar.gz) ( [<u>ASC</u>](https://downloads.apache.org/shardingsphere/5.4.1/apache-shardingsphere-5.4.1-shardingsphere-jdbc-bin.tar.gz.asc), [<u>SHA512</u>](https://downloads.apache.org/shardingsphere/5.4.1/apache-shardingsphere-5.4.1-shardingsphere-jdbc-bin.tar.gz.sha512) )
- ShardingSphere-Proxy Binary Distribution: [<u>TAR</u>](https://www.apache.org/dyn/closer.lua/shardingsphere/5.4.1/apache-shardingsphere-5.4.1-shardingsphere-proxy-bin.tar.gz) ( [<u>ASC</u>](https://downloads.apache.org/shardingsphere/5.4.1/apache-shardingsphere-5.4.1-shardingsphere-proxy-bin.tar.gz.asc), [<u>SHA512</u>](https://downloads.apache.org/shardingsphere/5.4.1/apache-shardingsphere-5.4.1-shardingsphere-proxy-bin.tar.gz.sha512) )
- ShardingSphere-Agent Binary Distribution: [<u>TAR</u>](https://www.apache.org/dyn/closer.lua/shardingsphere/5.4.1/apache-shardingsphere-5.4.1-shardingsphere-agent-bin.tar.gz) ( [<u>ASC</u>](https://downloads.apache.org/shardingsphere/5.4.1/apache-shardingsphere-5.4.1-shardingsphere-agent-bin.tar.gz.asc), [<u>SHA512</u>](https://downloads.apache.org/shardingsphere/5.4.1/apache-shardingsphere-5.4.1-shardingsphere-agent-bin.tar.gz.sha512) )
## All Releases
Find all releases in the [Archive repository](https://archive.apache.org/dist/shardingsphere/).</br>
Find all incubator releases in the [Archive incubator repository](https://archive.apache.org/dist/incubator/shardingsphere/).
## Verify the Releases
[PGP signatures KEYS](https://downloads.apache.org/shardingsphere/KEYS)
It is essential that you verify the integrity of the downloaded files using the PGP or SHA signatures.
The PGP signatures can be verified using GPG or PGP.
Please download the KEYS as well as the asc signature files for relevant distribution.
It is recommended to get these files from the main distribution directory and not from the mirrors.
```shell
gpg -i KEYS
```
or
```shell
pgpk -a KEYS
```
or
```shell
pgp -ka KEYS
```
=====================================================
== File: docs/document/content/features/mask/concept.en.md
=====================================================
+++
title = "Core Concept"
weight = 1
+++
## Logic column
The logical name used to calculate masked column, which is logical identifier of column in SQL.
=====================================================
== File: docs/document/content/features/mask/limitations.en.md
=====================================================
+++
title = "Limitations"
weight = 2
+++
- Masked columns only support string types, not other non-string types.
=====================================================
== File: docs/document/content/features/mask/_index.en.md
=====================================================
+++
pre = "<b>3.8. </b>"
title = "Data Masking"
weight = 8
chapter = true
+++
## Background
With the introduction of laws on user data protection, the protection of personal privacy data has risen to the legal level. Traditional application systems generally lack protection measures for personal privacy data.
Data masking can achieve special encryption, masking and replacement of the data returned by the production database according to user-defined masking rules without any changes to the data in the production database to ensure the sensitivity of the production environment data can be protected.
## Challenges
In real business scenarios, relevant DevOps teams often need to implement and maintain a set of masking functions by themselves according to data masking requirements, and the masking functions are often coupled in various business logics. Additionally different business systems are difficult to reuse. When the masking scenario changes, the masking function maintained by itself often faces the risk of refactoring or modification.
## Goal
According to industry needs for data masking and the pain points of business transformation, it provides a complete, safe, transparent, and low transformation cost data masking integration solution, which is the main design goal of the Apache ShardingSphere data masking module.
## Application Scenarios
Whether it is a new business that is launched quickly or a mature business that has already been launched, you can access the data masking function of ShardingSphere to quickly complete the configuration of mask rules.
Customers can use data masking function transparently without developing a masking function coupled to the business system, and without changing any business logic and SQL.
## Related References
- [Configuration: Data Mask](/en/user-manual/shardingsphere-jdbc/yaml-config/rules/mask/)
- [Developer Guide: Data Mask](/en/dev-manual/mask/)
=====================================================
== File: docs/document/content/features/observability/concept.en.md
=====================================================
+++
title = "Core Concept"
weight = 1
+++
## Agent
Based on bytecode enhancement and plugin design to provide tracing, metrics and logging features.
Only after the plugin of the Agent is enabled, the monitoring indicator data can be output to the third-party APM for display.
## APM
APM is an acronym for Application Performance Monitoring.
Focusing on the performance diagnosis of distributed systems, its main functions include call chain display, application topology analysis, etc.
## Tracing
Tracing data between distributed services or internal processes will be collected by agent. It will then be sent to third-party APM systems.
## Metrics
System statistical indicators are collected through probes for display by third-party applications.
## Logging
The log can be easily expanded through the agent to provide more information for analyzing the system running status.
=====================================================
== File: docs/document/content/features/observability/_index.en.md
=====================================================
+++
pre = "<b>3.10. </b>"
title = "Observability"
weight = 10
+++
## Background
In order to grasp the distributed system status, observe running state of the cluster is a new challenge. The point-to-point operation mode of logging in to a specific server cannot suite to large number of distributed servers. Telemetry through observable data is the recommended operation and maintenance mode for them. Tracking, metrics and logging are important ways to obtain observable data of system status.
APM (application performance monitoring) is to monitor and diagnose the performance of the system by collecting, storing and analyzing the observable data of the system. Its main functions include performance index monitoring, call stack analysis, service topology, etc.
Apache ShardingSphere is not responsible for gathering, storing and demonstrating APM data, but provides the necessary information for the APM. In other words, Apache ShardingSphere is only responsible for generating valuable data and submitting it to relevant systems through standard protocols or plug-ins. Tracing is to obtain the tracking information of SQL parsing and SQL execution. Apache ShardingSphere provides support for OpenTelemetry, SkyWalking by default. It also supports users to develop customized components through plug-in.
- Use OpenTelemetry
OpenTelemetry was merged by OpenTracing and OpenCencus in 2019. In this way, you only need to fill in the appropriate configuration in the agent configuration file according to [OpenTelemetry SDK Autoconfigure Guide](https://github.com/open-telemetry/opentelemetry-java/tree/main/sdk-extensions/autoconfigure). Data can be exported to Jaeger, Zipkin.
- Use SkyWalking
Enable the SkyWalking plug-in in configuration file and need to configure the SkyWalking apm-toolkit.
- Use SkyWalking’s automatic monitor probe
Cooperating with [Apache SkyWalking](https://skywalking.apache.org/) team, Apache ShardingSphere team has realized ShardingSphere automatic monitor probe to automatically send performance data to SkyWalking. Note that automatic probe in this way cannot be used together with Apache ShardingSphere plug-in probe.
Metrics used to collect and display statistical indicator of cluster. Apache ShardingSphere supports Prometheus by default.
## Challenges
Tracing and metrics need to collect system information through event tracking. Lots of events tracking make kernel code mess, difficult to maintain, and difficult to customize extend.
## Goal
The goal of Apache ShardingSphere observability module is providing as many performance and statistical indicators as possible and isolating kernel code and embedded code.
## Application Scenarios
ShardingSphere provides observability for applications through the Agent module, and this feature applies to the following scenarios:
### Monitoring panel
The system's static information (such as application version) and dynamic information (such as the number of threads and SQL processing information) are exposed to a third-party application (such as Prometheus) using a standard interface. Administrators can visually monitor the real-time system status.
### Monitoring application performance
In ShardingSphere, a SQL statement needs to go through the processes of parsing, routing, rewriting, execution, and result merging before it is finally executed and the response can be output. If a SQL statement is complex and the overall execution takes a long time, how do we know which procedure has room for optimization?
Through Agent plus Tracing, administrators can learn about the time consumption of each step of SQL execution. Thus, they can easily locate performance risks and formulate targeted SQL optimization schemes.
=====================================================
== File: docs/document/content/features/migration/concept.en.md
=====================================================
+++
title = "Core Concept"
weight = 1
+++
## Nodes
Instances for running compute or storage tier component processes. These can either be physical machines, virtual machines, or containers, etc.
## Cluster
Multiple nodes that are assembled together to provide a specified service.
## Source
The storage cluster where the original data resides.
## Target
The target storage cluster to which the original data is to be migrated.
## Data Migration Process
The entire process of replicating data from one storage cluster to another.
## Stock Data
The data that was already in the data node before the data migration operation started.
## Incremental Data
New data generated by operational systems during the execution of data migration operations.
=====================================================
== File: docs/document/content/features/migration/limitations.en.md
=====================================================
+++
title = "Limitations"
weight = 2
+++
## Procedures Supported
* Migration of peripheral data to databases managed by Apache ShardingSphere.
* Target proxy without rule or configure any rule.
* Migration of single column primary key or unique key table, the first column type could be: integer data type, string data type and part of binary data type (e.g. MySQL VARBINARY).
* Migration of multiple column primary keys or unique keys table.
## Procedures not supported
* Migration on top of the current storage node is not supported, so a brand new database cluster needs to be prepared as the migration target cluster.
* Target proxy table rule contains HINT strategy.
* Use different target table schema from source table schema.
* Source table DDL changes during migration.
=====================================================
== File: docs/document/content/features/migration/_index.en.md
=====================================================
+++
pre = "<b>3.6. </b>"
title = "Data Migration"
weight = 6
chapter = true
+++
## Background
In a scenario where the business continues to develop and the amount of data and concurrency reaches a certain extent, the traditional single database may face problems in terms of performance, scalability and availability.
Although NoSQL solutions can solve the above problems through data sharding and horizontal scale-out, NoSQL databases generally do not support transactions and SQL.
ShardingSphere can also solve the above problems and supports data sharding and horizontal scale-out, while at the same time, also supporting distributed transactions and SQL.
The data migration scheme provided by ShardingSphere can help the traditional single database smoothly switch to ShardingSphere.
## Challenges
The data migration process should not affect the running services. So the first challenge is to minimize the time window during which data is not available.
Next, data migration should not affect existing data. So the second challenge is to ensure the data correctness.
## Goal
The major goal of Apache ShardingSphere in performing data migration is to reduce the impact of data migration on services and provide a one-stop universal data migration solution.
## Application Scenarios
Application scenario one: when an application system is using a traditional single database, and the amount of data in a single table reaches 100 million and is still growing rapidly, a single database that continues to run with a high load will become the bottleneck of the system.
Once the database becomes the bottleneck, it is useless to scale out the application server. Instead, it is the database that needs to be scaled out.
## Related References
- [Configurations of data migration ](/en/user-manual/shardingsphere-proxy/migration/)
- [Reference of data migration](/en/reference/migration/)
=====================================================
== File: docs/document/content/features/management/concept.en.md
=====================================================
+++
title = "Core Concept"
weight = 1
+++
## Circuit Breaker
Fuse connection between Apache ShardingSphere and the database.
When an Apache ShardingSphere node exceeds the max load, stop the node's access to the database,
so that the database can ensure sufficient resources to provide services for other Apache ShardingSphere nodes.
## Request Limit
In the face of overload requests, open request limiting to protect some requests can still respond quickly.
=====================================================
== File: docs/document/content/features/management/_index.en.md
=====================================================
+++
pre = "<b>3.5. </b>"
title = "Traffic Governance"
weight = 5
chapter = true
+++
## Background
As the scale of data continues to expand, a distributed database has become a trend gradually.
The unified management ability of cluster perspective, and control ability of individual components are necessary ability in modern database system.
## Challenges
The challenge is ability which are unified management of centralized management, and operation in case of single node in failure.
Centralized management is to uniformly manage the state of database storage nodes and middleware computing nodes,
and can detect the latest updates in the distributed environment in real time, further provide information with control and scheduling.
In the overload traffic scenario, circuit breaker and request limiting for a node to ensure whole database cluster can run continuously is a challenge to control ability of a single node.
## Goal
The goal of Apache ShardingSphere management module is to realize the integrated management ability from database to computing node, and provide control ability for components in case of failure.
## Application Scenarios
### Overloaded compute node protection
When a compute node in a ShardingSphere cluster exceeds its load, the circuit breaker function is used to block the traffic to the compute node, to ensure that the whole cluster continues to provide stable services.
### Storage node traffic limit
In the read-write splitting scenario where a storage node responsible for the read traffic in a ShardingSphere cluster receives overloaded requests, the traffic limit function is used to block traffic from compute nodes to the storage node, to ensure normal response of the storage node cluster.
=====================================================
== File: docs/document/content/features/sharding/concept.en.md
=====================================================
+++
title = "Core Concept"
weight = 1
+++
## Table
Tables are a key concept for transparent data sharding. Apache ShardingSphere adapts to the data sharding requirements under different scenarios by providing diverse table types.
### Logic Table
The logical name of the horizontally sharded database (table) of the same structure is the logical identifier of the table in SQL. Example: Order data is split into 10 tables according to the primary key endings, are `t_order_0` to `t_order_9`, and their logical table names are `t_order`.
### Actual Table
Physical tables that exist in the horizontally sharded databases. Those are, `t_order_0` to `t_order_9` in the previous example.
### Binding Table
Refers to a set of sharded tables with consistent sharding rules. When using binding tables for multi-table associated query, a sharding key must be used for the association, otherwise, Cartesian product association or cross-library association will occur, affecting query efficiency.
For example, if the `t_order` table and `t_order_item` table are both sharded according to `order_id` and are correlated using `order_id`, the two tables are binding tables. The multi-table associated queries between binding tables will not have a Cartesian product association, so the associated queries will be much more effective. Here is an example,
If SQL is:
```sql
SELECT i.* FROM t_order o JOIN t_order_item i ON o.order_id=i.order_id WHERE o.order_id in (10, 11);
```
In the case where no binding table relationships are being set, assume that the sharding key `order_id` routes the value 10 to slice 0 and the value 11 to slice 1, then the routed SQL should be 4 items, which are presented as a Cartesian product:
```sql
SELECT i.* FROM t_order_0 o JOIN t_order_item_0 i ON o.order_id=i.order_id WHERE o.order_id in (10, 11);
SELECT i.* FROM t_order_0 o JOIN t_order_item_1 i ON o.order_id=i.order_id WHERE o.order_id in (10, 11);
SELECT i.* FROM t_order_1 o JOIN t_order_item_0 i ON o.order_id=i.order_id WHERE o.order_id in (10, 11);
SELECT i.* FROM t_order_1 o JOIN t_order_item_1 i ON o.order_id=i.order_id WHERE o.order_id in (10, 11);
```
After the relationships between binding tables are configured and associated with order_id, the routed SQL should then be 2 items:
```sql
SELECT i.* FROM t_order_0 o JOIN t_order_item_0 i ON o.order_id=i.order_id WHERE o.order_id in (10, 11);
SELECT i.* FROM t_order_1 o JOIN t_order_item_1 i ON o.order_id=i.order_id WHERE o.order_id in (10, 11);
```
=====================================================
== File: docs/document/content/features/sharding/appendix.en.md
=====================================================
+++
title = "Appendix with SQL operator"
weight = 3
+++
Limited supported SQL:
- When using `getGeneratedKeys` interface of JDBC specification to return auto-increment key, it is necessary to use a distributed key generator that supports auto-increment, and does not support other types of distributed key generators
Unsupported SQL:
- CASE WHEN contains sub-query
- Logical table names are used in CASE WHEN( Please use an alias)
- INSERT INTO tbl_name (col1, col2, …) SELECT * FROM tbl_name WHERE col3 = ?（The SELECT clause does not support * and the built-in distributed primary key generator）
- REPLACE INTO tbl_name (col1, col2, …) SELECT * FROM tbl_name WHERE col3 = ?（The SELECT clause does not support * and the built-in distributed primary key generator）
- SELECT MAX(tbl_name.col1) FROM tbl_name (If the query column is a function expression, use the table alias instead of the table name）
Other：
- You should keep actual tables, sharding columns and key generate columns in sharding rule same capitalization with tables and columns in database.
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pre = "<b>3.1. </b>"
title = "Sharding"
weight = 1
chapter = true
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## Background
The traditional solution that stores all the data in one concentrated node has hardly satisfied the requirement of massive data scenario in three aspects, performance, availability and operation cost.
In performance, the relational database mostly uses B+ tree index. When the data amount exceeds the threshold, deeper index will increase the disk IO access number, and thereby, weaken the performance of query. In the same time, high concurrency requests also make the centralized database to be the greatest limitation of the system.
In availability, capacity can be expanded at a relatively low cost and any extent with stateless service, which can make all the pressure, at last, fall on the database. But the single data node or simple primary-replica structure has been harder and harder to take these pressures. Therefore, database availability has become the key to the whole system.
From the aspect of operation costs, when the data in a database instance has reached above the threshold, DBA’s operation pressure will also increase. The time cost of data backup and data recovery will be more uncontrollable with increasing amount of data. Generally, it is a relatively reasonable range for the data in single database case to be within 1TB.
Under the circumstance that traditional relational databases cannot satisfy the requirement of the Internet, there are more and more attempts to store the data in native distributed NoSQL. But its incompatibility with SQL and imperfection in ecosystem block it from defeating the relational database in the competition, so the relational database still holds an unshakable position.
Sharding refers to splitting the data in one database and storing them in multiple tables and databases according to some certain standard, so that the performance and availability can be improved. Both methods can effectively avoid the query limitation caused by data exceeding affordable threshold. What’s more, database sharding can also effectively disperse TPS. Table sharding, though cannot ease the database pressure, can provide possibilities to transfer distributed transactions to local transactions, since cross-database upgrades are once involved, distributed transactions can turn pretty tricky sometimes. The use of multiple primary-replica sharding method can effectively avoid the data concentrating on one node and increase the architecture availability.
Splitting data through database sharding and table sharding is an effective method to deal with high TPS and mass amount data system, because it can keep the data amount lower than the threshold and evacuate the traffic. Sharding method can be divided into vertical sharding and horizontal sharding.
### Vertical Sharding
According to business sharding method, it is called vertical sharding, or longitudinal sharding, the core concept of which is to specialize databases for different uses. Before sharding, a database consists of many tables corresponding to different businesses. But after sharding, tables are categorized into different databases according to business, and the pressure is also separated into different databases. The diagram below has presented the solution to assign user tables and order tables to different databases by vertical sharding according to business need.
Vertical sharding requires to adjust the architecture and design from time to time. Generally speaking, it is not soon enough to deal with fast changing needs from Internet business and not able to really solve the single-node problem. it can ease problems brought by the high data amount and concurrency amount, but cannot solve them completely. After vertical sharding, if the data amount in the table still exceeds the single node threshold, it should be further processed by horizontal sharding.
### Horizontal Sharding
Horizontal sharding is also called transverse sharding. Compared with the categorization method according to business logic of vertical sharding, horizontal sharding categorizes data to multiple databases or tables according to some certain rules through certain fields, with each sharding containing only part of the data. For example, according to primary key sharding, even primary keys are put into the 0 database (or table) and odd primary keys are put into the 1 database (or table), which is illustrated as the following diagram.
Theoretically, horizontal sharding has overcome the limitation of data processing volume in single machine and can be extended relatively freely, so it can be taken as a standard solution to database sharding and table sharding.
## Challenges
Although data sharding solves problems regarding performance, availability, and backup recovery of single points, the distributed architecture has introduced new problems while gaining benefits.
One of the major challenges is that application development engineers and database administrators become extremely overwhelmed with all these operations after such a scattered way of data sharding. They need to know from which specific sub-table can they fetch the data needed.
Another challenge is that SQL that works correctly in one single-node database does not necessarily work correctly in a sharded database. For example, table splitting results in table name changes, or incorrect handling of operations such as paging, sorting, and aggregate grouping.
Cross-library transactions are also tricky for a distributed database cluster. Reasonable use of table splitting can minimize the use of local transactions while reducing the amount of data in a single table, and appropriate use of different tables in the same database can effectively avoid the trouble caused by distributed transactions. In scenarios where cross-library transactions cannot be avoided, some businesses might still be in the need to maintain transaction consistency. The XA-based distributed transactions are not used by Internet giants on a large scale because their performance cannot meet the needs in scenarios with high concurrency, and most of them use flexible transactions with ultimate consistency instead of strong consistent transactions.
## Goal
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title = "Limitations"
weight = 2
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Compatible with all commonly used SQL that routes to single data nodes; SQL routing to multiple data nodes is divided, because of complexity issues, into three conditions: stable support, experimental support, and no support.
## Stable Support
Full support for DML, DDL, DCL, TCL, and common DALs. Support for complex queries such as paging, de-duplication, sorting, grouping, aggregation, table association, etc.
Support SCHEMA DDL and DML statements of PostgreSQL and openGauss database. When no schema is specified in SQL, default access to 'public' schema. Other schemas need to declare before the table name, and do not support 'SEARCH_PATH' to modify the schema search path.
### Normal Queries
- main statement SELECT
```sql
SELECT select_expr [, select_expr ...] FROM table_reference [, table_reference ...]
[WHERE predicates]
[GROUP BY {col_name | position} [ASC | DESC], ...]
[ORDER BY {col_name | position} [ASC | DESC], ...]
[LIMIT {[offset,] row_count | row_count OFFSET offset}]
```
- select_expr
```sql
* |
[DISTINCT] COLUMN_NAME [AS] [alias] |
(MAX | MIN | SUM | AVG)(COLUMN_NAME | alias) [AS] [alias] |
COUNT(* | COLUMN_NAME | alias) [AS] [alias]
```
- table_reference
```sql
tbl_name [AS] alias] [index_hint_list]
| table_reference ([INNER] | {LEFT|RIGHT} [OUTER]) JOIN table_factor [JOIN ON conditional_expr | USING (column_list)]
```
### Sub-query
Stable support is provided by the kernel when both the subquery and the outer query specify a shard key and the values of the slice key remain consistent.
e.g:
```sql
SELECT * FROM (SELECT * FROM t_order WHERE order_id = 1) o WHERE o.order_id = 1;
```
Sub-query for [pagination](https://shardingsphere.apache.org/document/current/en/features/sharding/limitation/#pagination-query) can be stably supported by the kernel.
e.g.:
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== File: docs/document/content/features/sql-federation/limitation.cn.md
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title = "使用限制"
weight = 1
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Apache ShardingSphere 的联邦查询处于实验阶段。
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== File: docs/document/content/features/sql-federation/_index.en.md
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pre = "<b>3.11. </b>"
title = "SQL Federation"
weight = 11
chapter = true
+++
## Background
When users use data sharding to horizontally split massive amounts of data, although it can effectively solve database performance bottlenecks, it also brings some new problems in business.
For example, in the following scenarios: cross database association queries, sub queries, pagination, sorting, aggregation queries.
When implementing business operations, it is important to pay attention to the usage range of SQL queries and avoid cross database instance queries as much as possible, which limits the functionality of the business at the database level.
## Challenges
User business queries in SQL are often complex and variable, and it is costly to integrate them into ShardingSphere through business SQL transformation.
Convert the original queries on the business side into distributed queries and perform corresponding SQL optimization in distributed query scenarios, which can be completed across database instances: associated queries, sub queries, pagination, sorting, and aggregation queries.
In terms of business implementation, it can enable R&D personnel to no longer care about the scope of SQL usage, focus on business function development, and reduce functional limitations at the business level.
## Goal
Implementing distributed SQL for cross database instance queries is the main design goal of Apache ShardingSphere federated queries.
## Application Scenario
When cross database association queries, sub queries, and aggregate queries are required. No need to modify SQL, enabling federated queries through configuration can complete the execution of distributed query statements.
## Related References
- [SQL Federation Configuration](/en/user-manual/shardingsphere-jdbc/yaml-config/rules/sql-federation/)
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title = "Limitations"
weight = 1
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The SQL federation query of Apache ShardingSphere is experimental.
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== File: docs/document/content/features/_index.en.md
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pre = "<b>3. </b>"
title = "Features"
weight = 3
chapter = true
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Apache ShardingSphere provides a variety of features, from database kernel and database distributed solution to applications closed features.
There is no boundary for these features, warmly welcome more open source engineers to join the community and provide exciting ideas and features.
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== File: docs/document/content/features/shadow/concept.en.md
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title = "Core Concept"
weight = 1
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## Production Database
Database for production data
## Shadow Database
The Database for stress test data isolation. Configurations should be the same as the Production Database.
## Shadow Algorithm
Shadow Algorithm, which is closely related to business operations, currently has 2 types.
- Column based shadow algorithm
Routing to shadow database by recognizing data from SQL. Suitable for stress test scenario that has an emphasis on data list.
- Hint based shadow algorithm
Routing to shadow database by recognizing comments from SQL. Suitable for stress test driven by the identification of upstream system passage.
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title = "Limitations"
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## Hint based shadow algorithm
No
## Column based shadow algorithm
Does not support DDL.
Does not support scope, group, subqueries such as BETWEEN, GROUP BY ... HAVING, etc.
SQL support list
- INSERT
| *SQL* | *support or not* |
|----------------------------------------------------------------------------------|------------------|
| INSERT INTO table (column,...) VALUES (value,...) | support |
| INSERT INTO table (column,...) VALUES (value,...),(value,...),... | support |
| INSERT INTO table (column,...) SELECT column1 from table1 where column1 = value1 | do not support |
- SELECT/UPDATE/DELETE
| *condition categories* | *SQL* | *support or not* |
|------------------------|-----------------------------------------------------------------------------------------|------------------|
| = | SELECT/UPDATE/DELETE ... WHERE column = value | support |
| LIKE/NOT LIKE | SELECT/UPDATE/DELETE ... WHERE column LIKE/NOT LIKE value | support |
| IN/NOT IN | SELECT/UPDATE/DELETE ... WHERE column IN/NOT IN (value1,value2,...) | support |
| BETWEEN | SELECT/UPDATE/DELETE ... WHERE column BETWEEN value1 AND value2 | do not support |
| GROUP BY ... HAVING... | SELECT/UPDATE/DELETE ... WHERE ... GROUP BY column HAVING column > value | do not support |
| Sub Query | SELECT/UPDATE/DELETE ... WHERE column = (SELECT column FROM table WHERE column = value) | do not support |
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== File: docs/document/content/features/shadow/_index.en.md
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pre = "<b>3.9. </b>"
title = "Shadow"
weight = 9
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## Background
Under the distributed application architecture based on microservices, business requires multiple services to be completed through a series of services and middleware calls. The pressure testing of a single service can no longer reflect the real scenario.
In the test environment, the cost of rebuild complete set of pressure test environment similar to the production environment is too high. It is usually impossible to simulate the complexity and data of the production environment.
So, it is the better way to use the production environment for pressure test. The test results obtained real capacity and performance of the system accurately.
## Challenges
pressure testing on production environment is a complex and huge task. Coordination and adjustments between microservices and middlewares required to cope with the transparent transmission of different flow rates and pressure test tags. Usually we will build a complete set of pressure testing platform for different test plans.
Data isolation have to be done at the database-level, in order to ensure the reliability and integrity of the production data, data generated by pressure testing routed to test database. Prevent test data from polluting the real data in the production database.
This requires business applications to perform data classification based on the transparently transmitted pressure test identification before executing SQL, and route the corresponding SQL to the corresponding data source.
## Goal
Apache ShardingSphere focuses on data solutions in pressure testing on production environment.
The main goal of the Apache ShardingSphere shadow Database module is routing pressure testing data to user defined database automatically.
## Application Scenario
In order to improve the accuracy of stress testing and reduce the testing cost under the distributed application architecture based on microservices, stress testing is usually carried out in production environments, which will notably increase testing risks. However, the ShardingSphere shadow DB function, combined with the flexible configuration of the shadow algorithm, can address data pollution, improve database performance, and meet the requirements of online stress testing in complex business scenarios.
## Related References
- [Java API: shadow DB ](/en/user-manual/shardingsphere-jdbc/java-api/rules/shadow/)
- [YAML configuration: shadow DB ](/en/user-manual/shardingsphere-jdbc/yaml-config/rules/shadow/)
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weight = 1
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## Primary database
The primary database is used to add, update, and delete data operations. Currently, only single primary database is supported.
## Secondary database
The secondary database is used to query data operations and multi-secondary databases are supported.
## Primary-Secondary synchronization
It refers to the operation of asynchronously synchronizing data from a primary database to a secondary database. Due to the asynchronism of primary-secondary synchronization,
data from the primary and secondary databases may be inconsistent for a short time.
## Load balancer policy
Channel query requests to different secondary databases through load balancer policy.
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title = "Limitations"
weight = 2
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* Data synchronization of primary and secondary databases is not supported.
* Data inconsistency resulting from data synchronization delays between primary and secondary databases is not supported.
* Multi-write of primary database is not supported.
* Transactional consistency between primary and secondary databases is not supported. In the primary-secondary model, both data reads and writes in transactions use the primary database.
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== File: docs/document/content/features/readwrite-splitting/_index.en.md
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pre = "<b>3.3. </b>"
title = "Readwrite-splitting"
weight = 3
chapter = true
+++
## Background
Database throughput has faced the bottleneck with increasing TPS. For the application with massive concurrence read but less write in the same time, we can divide the database into a primary database and a replica database. The primary database is responsible for the insert, delete and update of transactions, while the replica database is responsible for queries. It can significantly improve the query performance of the whole system by effectively avoiding row locks.
One primary database with multiple replica databases can further enhance processing capacity by distributing queries evenly into multiple data replicas. Multiple primary databases with multiple replica databases can enhance not only throughput but also availability. Therefore, the system can still run normally, even though any database is down or physical disk destroyed.
Different from the sharding that separates data to all nodes according to sharding keys, readwrite-splitting routes read and write separately to primary database and replica databases according SQL analysis.
Data in readwrite-splitting nodes are consistent, whereas that in shards is not. The combined use of sharding and readwrite-splitting will effectively enhance the system performance.
## Challenges
Though readwrite-splitting can enhance system throughput and availability, it also brings inconsistent data, including that among multiple primary databases and among primary databases and replica databases. What’s more, it also brings the same problem as data sharding, complicating developer and operator’s maintenance and operation. The following diagram has shown the complex topological relations between applications and database groups when sharding used together with readwrite-splitting.
## Goal
The main design goal of readwrite-splitting of Apache ShardingSphere is to try to reduce the influence of readwrite-splitting, in order to let users use primary-replica database group like one database.
## Application Scenarios
### Complex primary-secondary database architecture
Many systems rely on the configuration of primary-secondary database architecture to improve the throughput of the whole system. Nevertheless, this configuration can make it more complex to use services.
After accessing ShardingSphere, the read/write splitting feature can be used to manage primary-secondary databases and achieve transparent read/write splitting, enabling users to use databases with primary/secondary architecture just like using one single database.
## Related References
[Java API](/en/user-manual/shardingsphere-jdbc/java-api/rules/readwrite-splitting)
[YAML Configuration](/en/user-manual/shardingsphere-jdbc/yaml-config/rules/readwrite-splitting)
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title = "Core Concept"
weight = 1
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## SQL Dialect
SQL dialect means database dialect, and it indicates that some database projects have their own unique syntax in addition to SQL, which are also called dialects. Different database projects may have different SQL dialects.
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The SQL dialect translation of Apache ShardingSphere is experimental.
Currently, only MySQL/PostgreSQL dialects can be automatically translated. Engineers can use MySQL dialects and protocols to access PostgreSQL databases and vice versa.
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pre = "<b>3.4. </b>"
title = "DB Gateway"
weight = 4
chapter = true
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## Background
With the trend of database fragmentation, using multiple types of databases together has become the norm. The scenario of using one SQL dialect to access all heterogeneous databases is increasing.
## Challenges
The existence of diversified databases makes it difficult to standardize the SQL dialect accessing the database. Engineers need to use different dialects for different kinds of databases, and there is no unified query platform.
Automatically translate different types of database dialects into the dialects used by the database, so that engineers can use any database dialect to access all heterogeneous databases, which can reduce development and maintenance cost greatly.
## Goal
The goal of database gateway for Apache ShardingSphere is translating SQL automatically among various databases.
## Application Scenarios
As business scenarios and database products of enterprises become increasingly diversified, the connection between business applications and various database products becomes extremely complex. ShardingSphere database gateway can shield the connection between business applications and the underlying diversified databases. At the same time, it provides a unified access protocol and syntax system for different business scenarios, which can help enterprises quickly build a unified data access platform.
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title = "Core Concept"
weight = 1
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## Logic column
It is used to calculate the encryption and decryption columns and it is the logical identifier of the column in SQL. Logical columns contain ciphertext columns (mandatory), query-helper columns (optional), like-query columns (optional), and plaintext columns (optional).
## Cipher column
Encrypted data columns.
## Assisted query column
It is a helper column used for queries. For some non-idempotent encryption algorithms with higher security levels, irreversible idempotent columns are provided for queries.
## Like query column
It is a helper column used for like queries.
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== File: docs/document/content/features/encrypt/appendix.en.md
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title = "Appendix with SQL operator"
weight = 3
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Unsupported SQL：
- The case-insensitive queries are not supported by encrypted fields.
- Comparison operations are not supported for encrypted fields, such as GREATER THAN, LESS THAN, ORDER BY, BETWEEN.
- Calculation operations are not supported for encrypted fields, such as AVG, SUM, and computation expressions.
- SQL that contains encrypt column in subquery and uses asterisks for outer projection is not supported.
- SQL that contains encrypt column in UNION, INTERSECT, and EXCEPT statements is not supported.
Other:
- You should keep encrypt columns, assisted columns and like columns in encrypt rule same capitalization with columns in database.
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title = "Limitations"
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- You need to process the original data on stocks in the database by yourself.
- The `like` query supports %, _, but currently does not support escape.
- Case insensitive queries are not supported for the encrypted fields.
- Comparison operations are not supported for encrypted fields, such as `GREATER THAN`, `LESS THAN`, `ORDER BY`, `BETWEEN`.
- Calculation operations are not supported for encrypted fields, such as `AVG`, `SUM`, and computation expressions.
- When projection subquery contains encrypt column, you must use alias.
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pre = "<b>3.7. </b>"
title = "Encryption"
weight = 7
chapter = true
+++
## Background
Security control has always been a crucial link of data governance, data encryption falls into this category. For both Internet enterprises and traditional sectors, data security has always been a highly valued and sensitive topic. Data encryption refers to transforming some sensitive information through encrypt rules to safely protect the private data. Data involves client’s security or business sensibility, such as ID number, phone number, card number, client number and other personal information, requires data encryption according to relevant regulations.
For data encryption requirements, there are the following situations in realistic business scenarios:
* When the new business start to launch, and the security department stipulates that the sensitive information related to users, such as banks and mobile phone numbers, should be encrypted and stored in the database, and then decrypted when used.
## Challenges
In the real business scenario, the relevant business development team often needs to implement and maintain a set of encryption and decryption system according to the needs of the company’s security department. When the encryption scenario changes, the encryption system often faces the risk of reconstruction or modification. In addition, for the online business system, it is relatively complex to realize seamless encryption transformation with transparency, security and low risk without modifying the business logic and SQL.
## Goal
Provides a security and transparent data encryption solution, which is the main design goal of Apache ShardingSphere data encryption module.
## Application Scenarios
For scenarios requiring the quick launch of new services while respecting encryption regulations. The ShardingSphere encryption feature can be used to quickly achieve compliant data encryption, without requiring users to develop complex encryption systems.
At the same time, its flexibility can also help users avoid complex rebuilding and modification risks caused by encryption scenario changes.
## Related References
- [Configuration: Data Encryption](/en/user-manual/shardingsphere-jdbc/yaml-config/rules/encrypt/)
- [Developer Guide: Data Encryption](/en/dev-manual/encrypt/)
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title = "核心概念"
weight = 1
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## XA 协议
XA 协议最早的分布式事务模型是由 `X/Open` 国际联盟提出的 `X/Open Distributed Transaction Processing (DTP)` 模型，简称 XA 协议。
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title = "Core Concept"
weight = 1
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## XA Protocol
The original distributed transaction model of XA protocol is the "X/Open Distributed Transaction Processing (DTP)" model, XA protocol for short, which was proposed by the X/Open international consortium.
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== File: docs/document/content/features/transaction/appendix.en.md
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title = "Appendix with SQL operator"
weight = 3
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Unsupported SQL：
- RAL and RDL operations of DistSQL that are used in transactions.
- DDL statements that are used in XA transactions.
Privileges required for XA transactions:
In MySQL8, you need to grant the user `XA_RECOVER_ADMIN` privileges, otherwise, the XA transaction manager will report an error when executing the `XA RECOVER` statement.
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title = "Limitations"
weight = 2
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Although Apache ShardingSphere aims at being compatible with all distributed scenario and providing the best performance, under the CAP theorem guidance, there is no sliver bullet with distributed transaction solution.
The Apache ShardingSphere community chose instead to give the users the ability to choose their preferred distributed transaction type and use the most suitable solution according to their scenarios.
## LOCAL Transaction
### Unsupported
* Does not support the cross-database transactions caused by network or hardware crash. For example, when updating two databases in transaction, if one database crashes before commit, then only the data of the other database can commit.
## XA Transaction
### Unsupported
* Recover committing and rolling back in other machines after the service is down.
* MySQL, in the transaction block, the SQL execution is abnormal, and run `Commit`, and data remains consistent.
* After XA transactions are configured, the maximum length of the storage unit name cannot exceed 45 characters.
## BASE Transaction
### Unsupported
* Does not support isolation level.
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pre = "<b>3.2. </b>"
title = "Distributed Transaction"
weight = 2
chapter = true
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## Background
Database transactions should satisfy the features of ACID (atomicity, consistency, isolation and durability).
- Atomicity: transactions are executed as a whole, and either all or none is executed.
- Consistency: transactions should ensure that the state of data remains consistent after the transition.
- Isolation: when multiple transactions execute concurrently, the execution of one transaction should not affect the execution of others.
- Durability: when a transaction committed modifies data, the operation will be saved persistently.
In single data node, transactions are only restricted to the access and control of single database resources, called local transactions. Almost all the mature relational databases have provided native support for local transactions. But in distributed application situations based on micro-services, more and more of them require to include multiple accesses to services and the corresponding database resources in the same transaction. As a result, distributed transactions appear.
Though the relational database has provided perfect native ACID support, it can become an obstacle to the system performance under distributed situations. How to make databases satisfy ACID features under distributed situations or find a corresponding substitute solution, is the priority work of distributed transactions.
## Challenge
For different application situations, developers need to reasonably weight the performance and the function between all kinds of distributed transactions.
Highly consistent transactions do not have totally the same API and functions as soft transactions, and they cannot switch between each other freely and invisibly. The choice between highly consistent transactions and soft transactions as early as development decision-making phase has sharply increased the design and development cost.
Highly consistent transactions based on XA is relatively easy to use, but is not good at dealing with long transaction and high concurrency situation of the Internet. With a high access cost, soft transactions require developers to transform the application and realize resources lock and backward compensation.
## Goal
The main design goal of the distributed transaction modular of Apache ShardingSphere is to integrate existing mature transaction cases to provide an unified distributed transaction interface for local transactions, 2PC transactions and soft transactions; compensate for the deficiencies of current solutions to provide a one-stop distributed transaction solution.
## How it works
ShardingSphere provides begin/ commit/rollback traditional transaction interfaces externally, and provides distributed transaction capabilities through LOCAL, XA and BASE modes.
### LOCAL Transaction
LOCAL mode is implemented based on ShardingSphere's proxy database interfaces, that is begin/commit/rolllback.
For a logical SQL, ShardingSphere starts transactions on each proxied database with the begin directive, executes the actual SQL, and performs commit/rollback.
Since each data node manages its own transactions, there is no coordination and communication between them, and they do not know whether other data node transactions succeed or not.
There is no loss in performance, but strong consistency and final consistency cannot be guaranteed.
### XA Transaction
XA transaction adopts the concepts including AP(application program), TM(transaction manager) and RM(resource manager) to ensure the strong consistency of distributed transactions. Those concepts are abstracted from [DTP mode](http://pubs.opengroup.org/onlinepubs/009680699/toc.pdf) which is defined by X/OPEN group.
Among them, TM and RM use XA protocol to carry out both-way communication, which is realized through two-phase commit.
Compared to traditional local transactions, XA transaction adds a preparation stage where the database can also inform the caller whether the transaction can be committed, in addition to passively accepting commit instructions.
TM can collect the results of all branch transactions and make atomic commit at the end to ensure the strong consistency of transactions.
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== File: docs/document/content/reference/mask/_index.cn.md
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pre = "<b>7.8. </b>"
title = "数据脱敏"
weight = 8
+++
## 处理流程详解
Apache ShardingSphere 通过对用户查询的 SQL 进行解析，并依据用户提供的脱敏规则对 SQL 执行结果进行装饰，从而实现对原文数据进行脱敏。
### 整体架构
脱敏模块将用户发起的 SQL 进行拦截，并通过 SQL 语法解析器进行解析、执行，再依据用户传入的脱敏规则，找出需要脱敏的字段和所使用的脱敏算法对查询结果进行装饰，返回给客户端。
### 脱敏规则
在详解整套流程之前，我们需要先了解下脱敏规则与配置，这是认识整套流程的基础。脱敏配置主要分为三部分：数据源配置，脱敏算法配置，脱敏表配置：
**数据源配置**：指数据源配置。
**脱敏算法配置**：指使用什么脱敏算法。目前 ShardingSphere 内置了多种脱敏算法：MD5、KEEP_FIRST_N_LAST_M、KEEP_FROM_X_TO_Y 、MASK_FIRST_N_LAST_M、MASK_FROM_X_TO_Y、MASK_BEFORE_SPECIAL_CHARS、MASK_AFTER_SPECIAL_CHARS 和 GENERIC_TABLE_RANDOM_REPLACE。用户还可以通过实现 ShardingSphere 提供的接口，自行实现一套脱敏算法。
**脱敏表配置**：用于告诉 ShardingSphere 数据表里哪个列用于数据脱敏、使用什么算法脱敏。
**脱敏规则创建即可生效**
### 脱敏处理过程
举例说明，假如数据库里有一张表叫做 `t_user`，这张表里有一个字段 `phone_number` 使用 `MASK_FROM_X_TO_Y` 进行算法处理，Apache ShardingSphere 不会改变数据存储，只会按脱敏算法对结果进行装饰，从而达到脱敏的效果
如下图所示：
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Apache ShardingSphere achieves the desensitization of the original data by parsing the SQL queried by users and masking the SQL execution results according to the desensitization rules provided by users.
### Overall Architecture
The desensitization module intercepts the SQL initiated by the user, analyzes and executes it through the SQL syntax parser. It then masks the query results by finding out the fields to be desensitized and the desensitization algorithm to be used according to the rules passed specified by the user, and returns to the client.
### Mask Rules
Before explaining the whole process in detail, we need to first understand the desensitization rules and configuration, which is the basis of understanding the whole process.
Desensitization configuration is mainly divided into three parts: data source configuration, desensitization algorithm configuration, desensitization table configuration:
**Data source configuration**: the configuration of the data source.
**Mask algorithm configuration**: currently, ShardingSphere has a variety of built-in desensitization algorithms: MD5, KEEP_FIRST_N_LAST_M, KEEP_FROM_X_TO_Y , MASK_FIRST_N_LAST_M, MASK_FROM_X_TO_Y, MASK_BEFORE_SPECIAL_CHARS, MASK_AFTER_SPECIAL_CHARS and GENERIC_TABLE_RANDOM_REPLACE.
Users can also implement a set of desensitization algorithms by implementing the interface provided by ShardingSphere.
**Mask table configuration**: used to tell ShardingSphere which column in the data table is used for data desensitization and which algorithm is used for desensitization.
**The mask rule takes effect after it is created**
Query attribute configuration: if both plaintext and ciphertext data are stored in the underlying database table, this attribute can be used to determine whether to query the plaintext data in the database table and return it directly, or query the ciphertext data and return it after decryption through Apache ShardingSphere.
This attribute can be configured at the table level and the entire rule level. The table-level has the highest priority.
### Mask Process
For example, if there is a table in the database called `t_user and` there is a field in the table called `phone_number` that uses `MASK_FROM_X_TO_Y`, Apache ShardingSphere does not change the data store.
It'll only mask the result according to the desensitization algorithm, to achieve the desensitization effect.
As shown in the picture below:
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- SQL 兼容
SQL 是使用者与数据库交流的标准语言。 SQL 解析引擎负责将 SQL 字符串解析为抽象语法树，供 Apache ShardingSphere 理解并实现其增量功能。
ShardingSphere 目前支持 MySQL, PostgreSQL, SQLServer, Oracle, openGauss 以及符合 SQL92 规范的 SQL 方言。 由于 SQL 语法的复杂性，目前仍然存在少量不支持的 SQL。
- 数据库协议兼容
Apache ShardingSphere 目前根据不同的数据协议，实现了 MySQL 和 PostgreSQL 协议。
- 特性支持
Apache ShardingSphere 为数据库提供了分布式协作的能力，同时将一部分数据库特性抽象到了上层，进行统一管理，以降低用户的使用难度。
因此，对于统一提供的特性，原生的 SQL 将不再下发到数据库，并提示该操作不被支持，用户可使用 ShardingSphere 提供的的方式进行代替。
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- SQL compatibility
SQL is the standard language for users to communicate with databases. The SQL parsing engine is responsible for parsing SQL strings into abstract syntax trees so that Apache ShardingSphere can understand and implement its incremental function.
ShardingSphere currently supports MySQL, PostgreSQL, SQLServer, Oracle, openGauss, and SQL dialects conforming to the SQL92 standard. Due to the complexity of SQL syntax, a few SQL are not supported for now.
- Database protocol compatibility
Apache ShardingSphere currently implements MySQL and PostgreSQL protocols according to different data protocols.
- Supported features
Apache ShardingSphere provides distributed collaboration capabilities for databases. At the same time, it abstracts some database features to the upper layer for unified management, so as to facilitate users.
Therefore, native SQL will not deliver the features provided uniformly to the database, and a message will be displayed indicating that the operation is not supported. Users can replace it with methods provided by ShardingSphere.
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## How it works
ShardingSphere-Agent module provides an observable framework for ShardingSphere, which is implemented based on Java Agent.
Metrics, tracing and logging functions are integrated into the agent through plugins, as shown in the following figure:
- The metrics plugin is used to collect and display statistical indicators for the entire cluster. Apache ShardingSphere supports Prometheus by default.
- The tracing plugin is used to obtain the link trace information of SQL parsing and SQL execution. Apache ShardingSphere provides support for exporting tracing data to Jaeger and Zipkin by default. It also supports users developing customized tracing components through plugin.
- The default logging plugin shows how to record additional logs in ShardingSphere. In practical applications, users need to explore according to their own needs.
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Apache ShardingSphere provides the ability for SQL dialect translation to achieve automatic conversion between database dialects. For example, users can use MySQL client to connect ShardingSphere and send SQL based on MySQL dialect. ShardingSphere can automatically identify user protocol and storage node type, automatically complete SQL dialect conversion, and access heterogeneous storage nodes such as PostgreSQL.
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## Explanation
The current data migration solution uses a completely new database cluster as the migration target.
This implementation has the following advantages:
1. No impact on the original data during migration.
2. No risk in case of migration failure.
3. Freedom from sharding strategy limitations.
The implementation has the following disadvantages:
1. Redundant servers can exist for a certain period of time.
2. All data needs to be moved.
A single data migration mainly consists of the following phases:
1. Preparation.
2. Stock data migration.
3. The synchronization of incremental data.
4. Traffic switching .
## Execution Stage Explained
### Preparation
In the preparation stage, the data migration module verifies data source connectivity and permissions, counts stock data statistics, records the log and finally shards the tasks according to data volume and parallelism set by the users.
### Stock data migration
Execute the stock data migration tasks that have been sharded during preparation stage. The stock migration stage uses JDBC queries to read data directly from the source and write into the target based on the sharding rules and other configurations.
### The Synchronization of incremental data
Since the duration of stock data migration depends on factors such as data volume and parallelism, it is necessary to synchronize the data added to the business operations during this period.
Different databases differ in technical details, but in general they are all based on replication protocols or WAL logs to achieve the capture of changed data.
- MySQL: subscribe and parse binlog.
- PostgreSQL: uses official logical replication [test_decoding](https://www.postgresql.org/docs/9.4/test-decoding.html).
The incremental data captured is also written into the new data nodes by the data migration modules. When synchronization of incremental data is completed (the incremental data flow is not interrupted since the business system is still in function), you can then move to the traffic switching stage.
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## Data Structure in Registry Center
Under a defined namespace, `rules`, `props` and `metadata` nodes persist in YAML. Modifying nodes can dynamically refresh configurations.
`nodes` persist the runtime node of the database access object, to distinguish different database access instances.
`statistics` persist data records in system tables.
```
namespace
├──rules # Global rule configuration
├ ├──transaction
├ ├ ├──active_version
├ ├ ├──versions
├ ├ ├ ├──0
├──props # Properties configuration
├ ├──active_verison
├ ├──versions
├ ├ ├──0
├──metadata # Metadata configuration
├ ├──${databaseName}
├ ├ ├──data_sources
├ ├ ├ ├──units # Storage unit configuration
├ ├ ├ ├ ├──${dataSourceName}
├ ├ ├ ├ ├ ├──active_verison # Active version
├ ├ ├ ├ ├ ├──versions # version list
├ ├ ├ ├ ├ ├ ├──0
├ ├ ├ ├ ├──...
├ ├ ├ ├──nodes # Storage node configuration
├ ├ ├ ├ ├──${dataSourceName}
├ ├ ├ ├ ├ ├──active_verison # Active version
├ ├ ├ ├ ├ ├──versions # version list
├ ├ ├ ├ ├ ├ ├──0
├ ├ ├ ├ ├──...
├ ├ ├──schemas # Schema list
├ ├ ├ ├──${schemaName}
├ ├ ├ ├ ├──tables # Table configuration
├ ├ ├ ├ ├ ├──${tableName}
├ ├ ├ ├ ├ ├ ├──active_verison # Active version
├ ├ ├ ├ ├ ├ ├──versions # version list
├ ├ ├ ├ ├ ├ ├ ├──0
├ ├ ├ ├ ├ ├──...
├ ├ ├ ├ ├──views # View configuration
├ ├ ├ ├ ├ ├──${viewName}
├ ├ ├ ├ ├ ├ ├──active_verison # Active version
├ ├ ├ ├ ├ ├ ├──versions # version list
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本章包含了 Apache ShardingSphere 的技术实现细节，供开发者和用户参考。
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ShardingSphere uses an automated execution engine to safely and efficiently send the real SQL, which has been routed and rewritten, to the underlying data source for execution.
It does not simply send SQL directly to the data source for execution via JDBC, nor are execution requests placed directly into a thread pool for concurrent execution.
It focuses more on the creation of a balanced data source connection, the consumption generated by the memory usage, and the maximum utilization of the concurrency. The objective of the execution engine is to automatically balance resource control with execution efficiency.
## Connection Mode
From the perspective of resource control, the connection number a business can make to the database should be limited. It can effectively prevent certain business operations from occupying excessive resources, exhausting database connection resources, and influencing the normal access of other businesses.
Especially when one database instance contains many sub-tables, a logical SQL that does not contain any shard key will produce a large number of real SQLs that fall into different tables in one database. If each real SQL takes an independent connection, a query will undoubtedly take up excessive resources.
From the perspective of execution efficiency, maintaining an independent database connection for each shard query can make more effective use of multi-thread to improve execution efficiency.
Creating a separate thread for each database connection allows I/O consumption to be processed in parallel. Maintaining a separate database connection for each shard also prevents premature loading of query result data into memory.
It is enough for independent database connections to maintain result set quotation and cursor position, and move the cursor when acquiring corresponding data.
Merging the result set by moving down its cursor is called the stream merger. It does not need to load all the query results into the memory, which can effectively save memory resources effectively and reduce the frequency of garbage collection.
If each shard query cannot be guaranteed to have an independent database connection, the current query result set needs to be loaded into memory before reusing the database connection to obtain the query result set of the next shard table. Therefore, though the stream merger can be used, it will also degenerate into the memory merger in this scenario.
On the one hand, we need to control and protect database connection resources; on the other hand, it is important to save middleware memory resources by adopting a better merging mode. How to deal with the relationship between the two is a problem that the ShardingSphere execution engine needs to solve. Specifically, if an SQL is sharded through the ShardingSphere, it needs to operate on 200 tables under a database instance. So, should we choose to create 200 connections in parallel, or one connection in sequence? How to choose between efficiency and resource control?
For the above scenario, ShardingSphere provides a solution. It introduces the concept of Connection Mode, which is divided into MEMORY_STRICTLY and CONNECTION_STRICTLY.
### MEMORY_STRICTLY Mode
The prerequisite to using this mode is that ShardingSphere does not restrict the connection number of one operation. If the actual executed SQL needs to operate 200 tables in some database instance, it will create a new database connection for each table and deal with them concurrently through multi-thread to maximize the execution efficiency. When SQL meets the conditions, stream merger is preferred to avoid memory overflow or frequent garbage recycling.
### CONNECTION_STRICTLY Mode
The prerequisite to using this mode is that ShardingSphere strictly restricts the connection consumption number of one operation. If the SQL to be executed needs to operate 200 tables in a database instance, it will create one database connection and operate them serially. If shards exist in different databases, it will still adopt multi-thread operations for different databases, but with only one database connection being created for each operation in each database. It prevents the problem of consuming too many database connections for one request. The mode chooses memory merger all the time.
The MEMORY_STRICTLY mode applies to OLAP operation and can increase the system throughput by removing database connection restrictions. It is also applicable to OLTP operation, which usually has shard keys and can be routed to a single shard. So it is a wise choice to control database connections strictly to make sure that database resources in an online system can be used by more applications.
## Automatic Execution Engine
ShardingSphere initially leaves the decision of which mode to use up to the users and they can choose to use MEMORY_STRICTLY mode or CONNECTION_STRICTLY mode according to their actual business scenarios.
This solution gives users the right to choose, who must understand the pros and cons of the two modes and make a choice based on the requirements of the business scenarios. No doubt, it is not the best solution as it increases users' learning and use costs.
This dichotomy solution, which leaves the switching of the two modes to static initialization, lacks flexibility. In practical scenarios, the routing result varies with SQL and placeholder indexes. This means that some operations may need to use memory merger, while others may prefer stream merger. Connection modes should not be set by the user before ShardingSphere is started, but should be determined dynamically based on the SQL and placeholder indexes scenarios.
In order to reduce the usage cost for users and achieve a dynamic connection mode, ShardingSphere has extracted the concept of the automatic execution engine to eliminate the connection mode concept internally. The user does not need to know what the MEMORY_STRICTLY mode and CONNECTION_STRICTLY mode are, but the execution engine automatically selects the best execution scheme according to the current scenario.
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Result merger refers to merging multi-data result sets acquired from all the data nodes as one result set and returning it to the requesting client correctly.
The result merger supported by ShardingSphere can be divided into five functional types: traversal, order-by, group-by, pagination and aggregation, which are combined rather than mutually exclusive. From the perspective of structure, it can be divided into stream merger, memory merger and decorator merger, among which stream merger and memory merger are mutually exclusive, and decorator merger can be further processed based on stream merger and memory merger.
Since the result set is returned from the database one by one instead of being loaded to the memory all at a time, the method of merging the result sets returned from the database can greatly reduce memory consumption and is the preferred method of merging.
Stream merger means that each time the data is obtained from the result set is able to return the correct single piece of data line by line. It is the best fit with the native method of returning the result set of the database. Traversal, order-by, and stream group-by are all examples of the stream merger.
Memory merger needs to traverse all the data in the result set and store it in the memory first. After unified grouping, ordering, aggregation and other calculations, the data is packaged into the data result set accessed one by one and returned.
Decorator merger merges and reinforces all the result sets function uniformly. Currently, decorator merger has two types: pagination merger and aggregation merger.
## Traversal Merger
As the simplest merger method, traversal merger only requires the combination of multiple data result sets into a one-way linked table. After traversing current data result sets in the linked table, it only needs to move the elements of the linked table back one bit and continue traversing the next data result set.
## Order-by Merger
Because there is an `ORDER BY` statement in SQL, each data result has its own order. So it only needs to sort data value that the result set cursor currently points to, which is equal to sorting multiple ordered arrays. Therefore, order-by merger is the most suitable sorting algorithm in this scenario.
When merging ordered queries, ShardingSphere will compare current data values in each result set (which is realized by the Java Comparable interface) and put them into the priority queue. Each time when acquiring the next piece of data, it only needs to move down the result set cursor at the top of the queue, reenter the priority order according to the new cursor and relocate its own position.
Here is an instance to explain ShardingSphere’s order-by merger. The following picture is an illustration of ordering by the score. Data result sets returned by 3 tables are shown in the example and each of them has already been ordered according to the score, but there is no order between the 3 data result sets. Order the data value that the result set cursor currently points to in these 3 result sets. Then put them into the priority queue. The first data value of `t_score_0` is the biggest, followed by that of `t_score_2` and `t_score_1` in sequence. Thus, the priority queue is ordered by the sequence of `t_score_0`, `t_score_2` and `t_score_1`.
The following diagram illustrates how the order-by merger works when using next call. We can see from the diagram that when using the `next` call, `t_score_0` at the first of the queue will be popped out. After returning the data value currently pointed by the cursor (i.e., 100) to the requesting client, the cursor will be moved down and `t_score_0` will be put back into the queue.
While the priority queue will also be ordered according to the `t_score_0` data value (90 here) pointed by the cursor of the current data result set. According to the current value, `t_score_0` is at the end of the queue, and the data result set of `t_score_2`, originally in the second place of the queue, automatically moves to the first place of the queue.
In the second `next` call, `t_score_2` in the first place is popped out. Its value pointed by the cursor of the data result set is returned to the client end, with its cursor moved down to rejoin the queue, and the following will be the same way. If there is no data in the result set, it will not rejoin the queue.
It can be seen that when data in each result set is ordered, but multiple result sets are disordered, ShardingSphere can still order them with no need to upload all the data to the memory. In the stream merger method, each `next` operation only acquires the right piece of data each time, which saves memory consumption to a large extent.
On the other hand, the order-by merger has maintained the orderliness on the horizontal axis and vertical axis of the data result set. Naturally ordered, the vertical axis refers to each data result set itself, which is acquired by SQL with `ORDER BY`. The horizontal axis refers to the current value pointed by each data result set, and its order needs to be maintained by the priority queue. Each time when the current cursor moves down, it requires putting the result set in the priority order again, which means only the cursor of the first data result set can be moved down.
## Group-by Merger
Group-by merger is the most complex one and can be divided into stream group-by merger and memory group-by merger. Stream group-by merger requires that the SQL's ordering items must be consistent with the field and ordering types (ASC or DESC) of the group-by item; otherwise, data correctness can only be guaranteed by memory merger.
For instance, if it is sharded based on subject, the table structure contains the examinees’ name (to simplify, name repetition is not taken into consideration) and score. The following SQL is used to acquire each examinee’s total score:
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ShardingSphere 数据分片的原理如下图所示，按照是否需要进行查询优化，可以分为 Simple Push Down 下推流程和 SQL Federation 执行引擎流程。 Simple Push Down 下推流程由 `SQL 解析 => SQL 绑定 => SQL 路由 => SQL 改写 => SQL 执行 => 结果归并` 组成，主要用于处理标准分片场景下的 SQL 执行。
SQL Federation 执行引擎流程由 `SQL 解析 => SQL 绑定 => 逻辑优化 => 物理优化 => 数据拉取 => 算子执行` 组成，SQL Federation 执行引擎内部进行逻辑优化和物理优化，在优化执行阶段依赖 Standard 内核流程，对优化后的逻辑 SQL 进行路由、改写、执行和归并。
## SQL 解析
分为词法解析和语法解析。
先通过词法解析器将 SQL 拆分为一个个不可再分的单词。再使用语法解析器对 SQL 进行理解，并最终提炼出解析上下文。
解析上下文包括表、选择项、排序项、分组项、聚合函数、分页信息、查询条件以及可能需要修改的占位符的标记。
## SQL 路由
根据解析上下文匹配用户配置的分片策略，并生成路由路径。目前支持分片路由和广播路由。
## SQL 改写
将 SQL 改写为在真实数据库中可以正确执行的语句。SQL 改写分为正确性改写和优化改写。
## SQL 执行
通过多线程执行器异步执行。
## 结果归并
将多个执行结果集归并以便于通过统一的 JDBC 接口输出。结果归并包括流式归并、内存归并和使用装饰者模式的追加归并这几种方式。
## 查询优化
由 Federation 执行引擎（开发中）提供支持，对关联查询、子查询等复杂查询进行优化，同时支持跨多个数据库实例的分布式查询，内部使用关系代数优化查询计划，通过最优计划查询出结果。
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SQL is relatively simple compared with other programming languages, but it's still a complete programming language. Therefore, there's no essential difference between parsing SQL syntax and parsing other languages (such as Java, C and Go, etc.).
## Abstract Syntax Tree
The parsing process is divided into lexical parsing and syntactic parsing. The lexical parser is used to split SQL into indivisible atomic symbols called Tokens.
Tokens are classified into keywords, expressions, literals, and operators based on the dictionaries provided by different database dialects. The syntactic parser is then used to convert the output of the lexical parser into an abstract syntax tree.
For example:
```sql
SELECT id, name FROM t_user WHERE status = 'ACTIVE' AND age > 18
```
After the above SQL is parsed, its AST (Abstract Syntax Tree) is as follows:
The tokens for keywords in the AST are green, while the tokens for variables are red, and gray ones indicate that further splitting is required.
Finally, the domain model is traversed through the abstract syntax tree by visitor; the context required for sharding is extracted through the domain model (SQLStatement); and then, mark locations that may need rewriting.
The parsing context for sharding includes select items, table, sharding condition, auto-increment primary key, and Order By, Group By, and pagination information (Limit, Rownum, Top). The SQL parsing process is irreversible.
Each Token is parsed in the original SQL order, providing high performance. Taking the similarities and differences of SQL dialects of various databases into consideration, the SQL dialect dictionary of various databases is provided in the parsing module.
## SQL Parser Engine
### Iteration
SQL parsing is the core of sharding solutions, and its performance and compatibility are the most important indicators. ShardingSphere's SQL parser has undergone three iterations and upgrades.
To achieve high performance and fast implementation, the first generation of SQL parsers used Druid prior to V1.4.x. In practical tests, its performance far exceeds that of other parsers.
The second generation of SQL parsers started from V1.5.x. ShardingSphere uses a completely self-developed SQL parsing engine. Owing to different purposes, ShardingSphere does not need to convert SQL into a complete abstract syntax tree, nor does it require a second traversal through the accessor pattern. It uses a half-parsing method to extract only the context required by data sharding, thus further improving the performance and compatibility of SQL parsing.
The third generation of SQL parsers, starting with V3.0.x, attempts to use ANTLR as a generator of SQL parsing engines and uses Visit to obtain SQL statements from the AST.
Since V5.0.x, the architecture of the parsing engine has been restructured and adjusted. Moreover, the AST obtained from the first parsing is stored in the cache so that the parsing results of the same SQL can be directly obtained next time to improve parsing efficiency. Therefore, it is recommended that you use PreparedStatement, a SQL-precompiled method, to improve performance.
### Features
* Independent SQL parsing engine
* The syntax rules can be easily expanded and modified (using `ANTLR`)
* Support multiple dialects
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SQL written by engineers for logical databases and tables cannot be directly executed in real databases.
SQL rewriting is used to rewrite logical SQL into SQL that can be executed correctly in real databases. It includes rewriting for correctness and rewriting for optimization.
## Rewriting for Correctness
In a scenario with table shards, you need to rewrite the logical table name in the table shards configuration to the real table name obtained after routing.
Only database shards do not require rewriting table names. Additionally, it also includes column derivation and pagination information correction.
## Identifier Rewriting
The identifiers that need to be overwritten include table names, index names, and Schema names.
Rewriting table names is the process of finding the location of the logical table in the original SQL and rewriting it into a real table.
Table name rewriting is a typical scenario that requires SQL parsing. For example, if logical SQL is:
```sql
SELECT order_id FROM t_order WHERE order_id=1;
```
Assume that the SQL is configured with the shard key `order_id` and `order_id=1`, it will be routed to shard table 1. Then the rewritten SQL should be:
```sql
SELECT order_id FROM t_order_1 WHERE order_id=1;
```
In the simplest SQL scenario, it doesn't seem to matter whether or not the SQL is parsed into an abstract syntax tree.
SQL can be rewritten correctly only by finding and replacing strings. However, it is impossible to achieve the same effect in the following scenarios.
```sql
SELECT order_id FROM t_order WHERE order_id=1 AND remarks=' t_order xxx';
```
The correct rewritten SQL would be:
```sql
SELECT order_id FROM t_order_1 WHERE order_id=1 AND remarks=' t_order xxx';
```
Instead of:
```sql
=====================================================
== File: docs/document/content/reference/sharding/_index.en.md
=====================================================
+++
pre = "<b>7.4. </b>"
title = "Sharding"
weight = 4
chapter = true
+++
The figure below shows how sharding works. According to whether query and optimization are needed, it can be divided into the Simple Push Down process and SQL Federation execution engine process.
Simple Push Down process consists of `SQL parser => SQL binder => SQL router => SQL rewriter => SQL executor => result merger`, mainly used to deal with SQL execution in standard sharding scenarios.
SQL Federation execution engine consists of `SQL parser => SQL binder => logical optimization => physical optimization => data fetcher => operator calculation`.
This process performs logical optimization and physical optimization internally, during which the standard kernel procedure is adopted to route, rewrite, execute and merge the optimized logical SQL.
## SQL Parser
It is divided into the lexical parser and syntactic parser. SQL is first split into indivisible words through a lexical parser.
The syntactic parser is then used to analyze SQL and ultimately extract the parsing context, which can include tables, options, ordering items, grouping items, aggregation functions, pagination information, query conditions, and placeholders that may be modified.
## SQL Route
The sharding strategy configured by the user is matched according to the parsing context and the routing path is generated. Currently, sharding router and broadcast router are supported.
## SQL Rewrite
Rewrite SQL into statements that can be executed correctly in a real database. SQL rewriting is divided into rewriting for correctness and rewriting for optimization.
## SQL Execution
It executes asynchronously through a multithreaded executor.
## Result Merger
It merges multiple execution result sets to achieve output through the unified JDBC interface. The result merger includes the stream merger, memory merger and appended merger using decorator mode.
## Query Optimization
Supported by the experimental Federation Execution Engine, it optimizes complex queries such as associated queries and sub-queries and supports distributed queries across multiple database instances. It internally optimizes query plans using relational algebra to query results through optimal plans.
=====================================================
== File: docs/document/content/reference/sharding/route.en.md
=====================================================
+++
title = "Route Engine"
weight = 2
+++
Sharding strategies for databases and tables are matched based on the parsing context, and routing paths are generated. SQL with shard keys can be divided into the single-shard router (the shard key operator is equal), multi-shard router (the shard key operator is IN), and range router (the shard key operator is BETWEEN). SQL that does not carry shard keys adopts broadcast routing.
Sharding strategies can usually be configured either by the built-in database or by the user. The built-in database scheme is relatively simple, and the built-in sharding strategy can be roughly divided into mantissa modulo, hash, range, label, time, etc.
The sharding strategies configured by the user are more flexible. You can customize the compound sharding strategy based on the user's requirements. If it is used with automatic data migration, users do not need to work on the sharding strategies.
Sharding and data balancing can be automatically achieved by the middle layer of the database, and distributed databases can achieve elastic scalability. In the planning of ShardingSphere, the elastic scaling function will be available at V4.x.
## Sharding Route
The scenario that is routed based on shard keys is divided into three types: direct route, standard route, and Cartesian route.
### Direct Route
The requirement for direct route is relatively harsh. It needs to be sharded by Hint (using HintAPI to specify routes to databases and tables), and it can avoid SQL parsing and subsequent result merge on the premise of having database shards but not table shards.
Therefore, it is the most compatible one and can execute any SQL in complex scenarios including sub-queries and custom functions. The direct route can also be used when shard keys are not in SQL. For example, set the key for database sharding to `3`,
```java
hintManager.setDatabaseShardingValue(3);
```
If the routing algorithm is `value % 2`, when a logical database `t_order` corresponds to two physical databases`t_order_0` and `t_order_1`, the SQL will be executed on `t_order_1` after routing.
The following is a sample code using the API.
```java
String sql = "SELECT * FROM t_order";
try (
HintManager hintManager = HintManager.getInstance();
Connection conn = dataSource.getConnection();
PreparedStatement pstmt = conn.prepareStatement(sql)) {
hintManager.setDatabaseShardingValue(3);
try (ResultSet rs = pstmt.executeQuery()) {
while (rs.next()) {
//...
}
}
}
```
### Standard Route
The standard route is the most recommended sharding method, and it is applicable to SQL that does not contain an associated query or only contains the associated query between binding tables.
When the sharding operator is equal, the routing result will fall into a single database (table). When the sharding operator is BETWEEN or IN, the routing result will not necessarily fall into a unique database (table).
=====================================================
== File: docs/document/content/reference/architecture/_index.en.md
=====================================================
+++
pre = "<b>7.11. </b>"
title = "Architecture"
weight = 11
+++
Apache ShardingSphere's pluggable architecture is designed to enable developers to customize their own unique systems by adding the desired features, just like adding building blocks.
A plugin-oriented architecture has very high requirements for program architecture design. It requires making each module independent, and using a pluggable kernel to combine various functions in an overlapping manner. Designing an architecture system that completely isolates the feature development not only fosters an active open source community, but also ensures the quality of the project.
Apache ShardingSphere began to focus on the pluggable architecture since version 5.X, and the functional components of the project can be flexibly extended in a pluggable manner. Currently, features such as data sharding, read/write splitting, database high availability, data encryption, shadow DB stress testing, and support for SQL and protocols such as MySQL, PostgreSQL, SQLServer, Oracle, etc. are woven into the project through plugins.
Apache ShardingSphere has provided dozens of SPIs (service provider interfaces) as extension points of the system, with the total number still increasing.
=====================================================
== File: docs/document/content/reference/_index.en.md
=====================================================
+++
pre = "<b>7. </b>"
title = "Reference"
weight = 7
chapter = true
+++
This chapter contains a section of technical implementation with Apache ShardingSphere,
which provide the reference with users and developers.
=====================================================
== File: docs/document/content/reference/shadow/_index.en.md
=====================================================
+++
pre = "<b>7.9. </b>"
title = "Shadow"
weight = 9
+++
## How it works
Apache ShardingSphere determines the incoming SQL via shadow by parsing the SQL and routing it to the production or shadow database based on the shadow rules set by the user in the configuration file.
In the example of an INSERT statement, when writing data, Apache ShardingSphere parses the SQL and then constructs a routing chain based on the rules in the configuration file.
In the current version, the shadow feature is at the last execution unit in the routing chain, i.e. if other rules exist that require routing, such as sharding, Apache ShardingSphere will first route to a particular database according to the sharding rules, and then run the shadow routing determination process to determine that the execution SQL meets the configuration set by shadow rules. Then data is routed to the corresponding shadow database, while the production data remains unchanged.
### DML sentence
Two algorithms are supported. Shadow determination first determines whether the execution SQL-related table intersects with the configured shadow table. If the result is positive, the shadow algorithm within the part of intersection associated with the shadow table will be determined sequentially. If any of the determination is successful, the SQL statement is routed to the shadow library.
If there is no intersection or the shadow algorithm determination is unsuccessful, the SQL statement is routed to the production database.
### DDL sentence
Only supports shadow algorithm with comments attached. In stress testing scenarios, DDL statements are generally not required for testing, and are used mainly when initializing or modifying shadow tables in the shadow database.
The shadow determination will first determine whether the execution SQL contains comments or not. If the result is a yes, the HINT shadow algorithm configured in the shadow rules determines them in order. The SQL statement is routed to the shadow database if any of the determinations are successful.
If the execution SQL does not contain comments or the HINT shadow algorithm determination is unsuccessful, the SQL statements are routed to the production database.
## References
[JAVA API: shadow database configuration](/en/user-manual/shardingsphere-jdbc/java-api/rules/shadow/)
[YAMLconfiguration: shadow database](/en/user-manual/shardingsphere-jdbc/yaml-config/rules/shadow/)
=====================================================
== File: docs/document/content/reference/encrypt/_index.cn.md
=====================================================
+++
pre = "<b>7.7. </b>"
title = "数据加密"
weight = 7
+++
## 处理流程详解
Apache ShardingSphere 通过对用户输入的 SQL 进行解析，并依据用户提供的加密规则对 SQL 进行改写，从而实现对原文数据进行加密。
在用户查询数据时，它仅从数据库中取出密文数据，并对其解密，最终将解密后的原始数据返回给用户。
Apache ShardingSphere 自动化 & 透明化了数据加密过程，让用户无需关注数据加密的实现细节，像使用普通数据那样使用加密数据。
### 整体架构
加密模块将用户发起的 SQL 进行拦截，并通过 SQL 语法解析器进行解析、理解 SQL 行为，再依据用户传入的加密规则，找出需要加密的字段和所使用的加解密算法对目标字段进行加解密处理后，再与底层数据库进行交互。
Apache ShardingSphere 会将用户请求的明文进行加密后存储到底层数据库；并在用户查询时，将密文从数据库中取出进行解密后返回给终端用户。
通过屏蔽对数据的加密处理，使用户无需感知解析 SQL、数据加密、数据解密的处理过程，就像在使用普通数据一样使用加密数据。
### 加密规则
在详解整套流程之前，我们需要先了解下加密规则与配置，这是认识整套流程的基础。加密配置主要分为三部分：数据源配置，加密算法配置，加密表配置，其详情如下图所示：
**数据源配置**：指数据源配置。
**加密算法配置**：指使用什么加密算法进行加解密。目前 ShardingSphere 内置了三种加解密算法：AES，MD5 和 RC4。用户还可以通过实现 ShardingSphere 提供的接口，自行实现一套加解密算法。
**加密表配置**：用于告诉 ShardingSphere 数据表里哪个列用于存储密文数据（cipherColumn）、使用什么算法加解密（encryptorName）、哪个列用于存储辅助查询数据（assistedQueryColumn）、使用什么算法加解密（assistedQueryEncryptorName）以及用户想使用哪个列进行 SQL 编写（logicColumn）。
> 如何理解 `用户想使用哪个列进行 SQL 编写（logicColumn）`？
>
> 我们可以从加密模块存在的意义来理解。加密模块最终目的是希望屏蔽底层对数据的加密处理，也就是说我们不希望用户知道数据是如何被加解密的、如何将密文数据存储到 cipherColumn，将辅助查询数据存储到 assistedQueryColumn。
换句话说，我们不希望用户知道 cipherColumn 和 assistedQueryColumn 的存在和使用。
所以，我们需要给用户提供一个概念意义上的列，这个列可以脱离底层数据库的真实列，它可以是数据库表里的一个真实列，也可以不是，从而使得用户可以随意改变底层数据库的 cipherColumn 和 assistedQueryColumn 的列名。
只要用户的 SQL 面向这个逻辑列进行编写，并在加密规则里给出 logicColumn、cipherColumn、assistedQueryColumn 之间正确的映射关系即可。
>
> 为什么要这么做呢？答案在文章后面，即为了让已上线的业务能无缝、透明、安全地进行数据加密迁移。
### 加密处理过程
举例说明，假如数据库里有一张表叫做 `t_user`，这张表里实际有两个字段 `pwd_cipher`，用于存放密文数据、`pwd_assisted_query`，用于存放辅助查询数据，同时定义 logicColumn 为 `pwd`。
那么，用户在编写 SQL 时应该面向 logicColumn 进行编写，即 `INSERT INTO t_user SET pwd = '123'`。
Apache ShardingSphere 接收到该 SQL，通过用户提供的加密配置，发现 `pwd` 是 logicColumn，于是便对逻辑列及其对应的明文数据进行加密处理。
**Apache ShardingSphere 将面向用户的逻辑列与面向底层数据库的密文列进行了列名以及数据的加密映射转换。**
如下图所示：
=====================================================
== File: docs/document/content/reference/encrypt/_index.en.md
=====================================================
+++
pre = "<b>7.7. </b>"
title = "Encryption"
weight = 7
+++
Apache ShardingSphere parses the SQL entered by users and rewrites the SQL according to the encryption rules provided by users.
When a user queries data, it only retrieves ciphertext data from the database, decrypts it, and finally returns the decrypted source data to the user. Apache ShardingSphere achieves a transparent and automatic data encryption process. Users can use encrypted data as normal data without paying attention to the implementation details of data encryption.
### Overall Architecture
The encrypted module intercepts the SQL initiated by the user and parses and understands the SQL behavior through the SQL syntactic parser. Then it finds out the fields to be encrypted and the encryption and decryption algorithm according to the encryption rules introduced by the user and interacts with the underlying database.
Apache ShardingSphere will encrypt the plaintext requested by users and store it in the underlying database. When the user queries, the ciphertext is extracted from the database, decrypted, and returned to the terminal user. By shielding the data encryption process, users do not need to operate the SQL parsing process, data encryption, and data decryption.
### Encryption Rules
Before explaining the whole process, we need to understand the encryption rules and configuration. Encryption configuration is mainly divided into three parts: data source configuration, encryptor configuration, encryption table configuration, as shown in the figure below:
Data source configuration: the configuration of the data source.
Encryptor configuration: refers to the encryption algorithm used for encryption and decryption. Currently, ShardingSphere has three built-in encryption and decryption algorithms: AES, MD5 and RC4. Users can also implement a set of encryption and decryption algorithms by implementing the interfaces provided by ShardingSphere.
Encryption table configuration: it is used to tell ShardingSphere which column in the data table is used to store ciphertext data (`cipherColumn`), and which column the user would like to use for SQL writing (`logicColumn`).
> What does it mean by "which column the user would like to use for SQL writing (logicColumn)"?
We have to know first why the encrypted module exists. The goal of the encrypted module is to shield the underlying data encryption process, which means we don't want users to know how data is encrypted and decrypted, and how to store ciphertext data into `cipherColumn`. In other words, we don't want users to know there is a `cipherColumn` or how they are used. Therefore, we need to provide the user with a conceptual column that can be separated from the real column in the underlying database. It may or may not be a real column in the database table so that users can change the column names of `cipherColumn` of the underlying database at will. The only thing we have to ensure is that the user's SQL is written towards the logical column, and the correct mapping relation between `logicColumn` and `cipherColumn` can be seen in the encryption rules.
>
Query attribute configuration: if both plaintext and ciphertext data are stored in the underlying database table, this attribute can be used to determine whether to query the plaintext data in the database table and return it directly, or query the ciphertext data and return it after decryption through Apache ShardingSphere. This attribute can be configured at the table level and the entire rule level. The table-level has the highest priority.
### Encryption Process
For example, if there is a table named `t_user` in the database, and they're two fields in the table: `pwd_cipher` for storing ciphertext data, and logicColumn is defined as `pwd`, then users should write SQL for `logicColumn`, that is `INSERT INTO t_user SET pwd = '123'`. Apache ShardingSphere receives the SQL and finds that the `pwd` is the `logicColumn` based on the encryption configuration provided by the user. Therefore, it encrypts the logical column and its corresponding plaintext data.
Apache ShardingSphere transforms the column names and data encryption mapping between the logical columns facing users and cipher columns facing the underlying database. As shown in the figure below:
The user's SQL is separated from the underlying data table structure according to the encryption rules provided by the user so that the user's SQL writing does not depend on the real database table structure.
The connection, mapping, and transformation between the user and the underlying database are handled by Apache ShardingSphere.
The picture below shows the processing flow and conversion logic when the encryption module is used to add, delete, change and check, as shown in the figure below.
=====================================================
== File: docs/document/content/reference/transaction/base-transaction-seata.en.md
=====================================================
+++
title = "Seata BASE transaction"
weight = 2
+++
When integrating Seata AT transaction, we need to integrate TM, RM and TC component into ShardingSphere transaction manager.
Seata have proxied `DataSource` interface in order to RPC with TC.
Similarly, Apache ShardingSphere faced to `DataSource` interface to aggregate data sources too.
After Seata `DataSource` encapsulation, it is easy to put Seata AT transaction into Apache ShardingSphere sharding ecosystem.
## Init Seata Engine
When an application containing `ShardingSphereTransactionBaseSeataAT` startup, the user-configured DataSource will be wrapped into seata `DataSourceProxy` through `seata.conf`, then registered into RM.
## Transaction Begin
TM controls the boundaries of global transactions. TM obtains the global transaction ID by sending Begin instructions to TC.
All branch transactions participate in the global transaction through this global transaction ID.
The context of the global transaction ID will be stored in the thread local variable.
## Execute actual sharding SQL
Actual SQL in Seata global transaction will be intercepted to generate undo snapshots by RM and sends participate instructions to TC to join global transaction.
Since actual sharding SQLs executed in multi-threads, global transaction context should transfer from main thread to child thread, which is exactly the same as context transfer between services.
## Commit or Rollback
When submitting a seata transaction, TM sends TC the commit and rollback instructions of the global transaction. TC coordinates all branch transactions for commit and rollback according to the global transaction ID.
=====================================================
== File: docs/document/content/reference/transaction/_index.en.md
=====================================================
+++
pre = "<b>7.5. </b>"
title = "Transaction"
weight = 5
chapter = true
+++
## Navigation
This chapter mainly introduces the principles of the distributed transactions:
* 2PC transaction with XA
* BASE transaction with Seata
=====================================================
== File: docs/document/content/reference/transaction/2pc-xa-transaction.en.md
=====================================================
+++
title = "XA Transaction"
weight = 1
+++
`XAShardingSphereTransactionManager` is XA transaction manager of Apache ShardingSphere.
Its main responsibility is manage and adapt multiple data sources, and sent corresponding transactions to concrete XA transaction manager.
## Transaction Begin
When receiving `set autoCommit=0` from client, `XAShardingSphereTransactionManager` will use XA transaction managers to start overall XA transactions, which is marked by XID.
## Execute actual sharding SQL
After `XAShardingSphereTransactionManager` register the corresponding XAResource to the current XA transaction, transaction manager will send `XAResource.start` command to databases.
After databases received `XAResource.end` command, all SQL operator will mark as XA transaction.
For example:
```
XAResource1.start ## execute in the enlist phase
statement.execute("sql1");
statement.execute("sql2");
XAResource1.end ## execute in the commit phase
```
`sql1` and `sql2` in example will be marked as XA transaction.
## Commit or Rollback
After `XAShardingSphereTransactionManager` receives the commit command in the access, it will delegate it to the actual XA manager.
It will collect all the registered XAResource in the thread, before sending `XAResource.end` to mark the boundary for the XA transaction.
Then it will send prepare command one by one to collect votes from XAResource.
If all the XAResource feedback is OK, it will send commit command to finally finish it;
If there is any No XAResource feedback, it will send rollback command to roll back.
After sending the commit command, all XAResource exceptions will be submitted again according to the recovery log to ensure the atomicity and high consistency.
For example:
```
XAResource1.prepare ## ack: yes
XAResource2.prepare ## ack: yes
XAResource1.commit
XAResource2.commit
XAResource1.prepare ## ack: yes
XAResource2.prepare ## ack: no
XAResource1.rollback
=====================================================
== File: docs/document/archetypes/default.md
=====================================================
---
title: "{{ replace .Name "-" " " | title }}"
date: {{ .Date }}
draft: true
---
=====================================================
== File: docs/document/config.toml
=====================================================
baseURL = "https://shardingsphere.apache.org/document/current/"
canonifyurls = true
languageCode = "en-us"
title = "ShardingSphere"
theme = "hugo-theme-learn"
defaultContentLanguage = "en"
defaultContentLanguageInSubdir= true
[Languages]
[Languages.en]
#baseURL = "https://shardingsphere.apache.org/document/current/"
title = "ShardingSphere"
weight = 1
languageName = "English"
[Languages.cn]
#baseURL = "https://shardingsphere.apache.org/document/current/"
title = "ShardingSphere"
weight = 2
languageName = "简体中文"
[params]
# Change default color scheme with a variant one. Can be "red", "blue", "green".
themeVariant = "white"
# Disable search function. It will hide search bar
disableSearch = false
editURL = "https://github.com/apache/shardingsphere/tree/master/docs/document/content/"
# Hide Next and Previous page buttons normally displayed full height beside content
disableNextPrev = true
# Hide breadcrumbs in the header and only show the current page title
disableBreadcrumb = true
description = "Apache ShardingSphere Document"
[markup]
[markup.tableOfContents]
endLevel = 3
ordered = false
startLevel = 2
[markup.goldmark]
[markup.goldmark.renderer]
unsafe = true
=====================================================
== File: docs/README.md
=====================================================
# ShardingSphere Documents
## HOW to build ShardingSphere website?
To build ShardingSphere website by means of [hugo](http://gohugo.io/overview/introduction/) and [hugo theme learn](https://github.com/matcornic/hugo-theme-learn).
Follow the steps below to deploy ShardingSphere website,
1. Execute `docs/build.sh` to generate `html` files at the directory of `docs/target/`.
2. Clone [shardingsphere-doc](https://github.com/apache/shardingsphere-doc.git).
3. Checkout to `asf-site` branch.
4. Overwrite `document/current` with `docs/target/document/current`, `community` with `docs/target/community` and `blog` with `docs/target/blog`.
5. Commit changes and raise a PR for [shardingsphere-doc](https://github.com/apache/shardingsphere-doc.git).
### Note:
1. If you modify `docs/build.sh`, please test it locally.
## HOW to insert a video of Bilibili or YouTube?
1. First please make sure you get the correct url of the video you want to add.
2. - DO REMEMBER use the `bvid argument` of bilibili url:
for example : https://www.bilibili.com/video/BV1aE411X7kQ?from=search&seid=5978719442257399675 ( bvid argument means `BV1aE411X7kQ` , or you can simply recognize the argument with `Capital Letter` )
- YouTube url is much easier to recognize : https://www.youtube.com/watch?v=2MsN8gpT6jY , the argument you needed is `2MsN8gpT6jY` at the end of the url.
3. Use the shortcodes at wherever you want to place:
- `{{< bilibili BV1aE411X7kQ >}}`
- `{{< youtube 2MsN8gpT6jY >}}`
=====================================================
== File: docs/build.sh
=====================================================
#!/bin/bash
cd `dirname $0`
rm -rf target
mkdir -p target/document/current
cd document
hugo --cleanDestinationDir
find ../document/public/ -name '*.html' -exec sed -i -e 's|[[:space:]]*<option id="\([a-zA-Z]\+\)" value="|<option id="\1" value="/document/current|g' {} \;
cd public/en
sed -i -e 's/cn/en/g' index.html
cd ../..
cd ..
mv document/public/* target/document/current
mkdir target/community
cd community
hugo --cleanDestinationDir
find ../community/public/ -name '*.html' -exec sed -i -e 's|[[:space:]]*<option id="\([a-zA-Z]\+\)" value="|<option id="\1" value="/community|g' {} \;
cd public/en
sed -i -e 's/cn/en/g' index.html
cd ../..
cd ..
mv community/public/* target/community/
mkdir target/blog
cd blog
hugo --cleanDestinationDir
find ../blog/public/ -name '*.html' -exec sed -i -e 's|[[:space:]]*<option id="\([a-zA-Z]\+\)" value="|<option id="\1" value="/blog|g' {} \;
cd public/en
sed -i -e 's/cn/en/g' index.html
cd ../..
cd ..
mv blog/public/* target/blog/
=====================================================
== File: docs/blog/static/css/theme-mine.css
=====================================================
/* background behind the logo*/
#header {
background: black;
border-color: black;
}
#header-wrapper {
background: black;
border-color: black;
}
#chapter p {
text-align: left;
}
.copy-to-clipboard {
background-image: none;
display: none;
}
#body img, #body .video-container {
margin: auto;
text-align: left;
display: inherit;
}
.post p{
text-indent: 0em;
}
=====================================================
== File: docs/blog/static/css/theme-black.css
=====================================================
@charset "UTF-8";
#top-github-link,
#body #breadcrumbs {
position: relative;
top: 50%;
-webkit-transform: translateY(-50%);
-moz-transform: translateY(-50%);
-o-transform: translateY(-50%);
-ms-transform: translateY(-50%);
transform: translateY(-50%);
}
.button,
.button-secondary {
display: inline-block;
padding: 7px 12px;
}
.button:active,
.button-secondary:active {
margin: 2px 0 -2px 0;
}
@font-face {
font-family: 'Novacento Sans Wide';
src: url("../fonts/Novecentosanswide-UltraLight-webfont.eot");
src: url("../fonts/Novecentosanswide-UltraLight-webfont.eot?#iefix") format("embedded-opentype"), url("../fonts/Novecentosanswide-UltraLight-webfont.woff2") format("woff2"), url("../fonts/Novecentosanswide-UltraLight-webfont.woff") format("woff"), url("../fonts/Novecentosanswide-UltraLight-webfont.ttf") format("truetype"), url("../fonts/Novecentosanswide-UltraLight-webfont.svg#novecento_sans_wideultralight") format("svg");
font-style: normal;
font-weight: 200;
}
@font-face {
font-family: 'Work Sans';
font-style: normal;
font-weight: 300;
src: url("../fonts/Work_Sans_300.eot?#iefix") format("embedded-opentype"), url("../fonts/Work_Sans_300.woff") format("woff"), url("../fonts/Work_Sans_300.woff2") format("woff2"), url("../fonts/Work_Sans_300.svg#WorkSans") format("svg"), url("../fonts/Work_Sans_300.ttf") format("truetype");
}
@font-face {
font-family: 'Work Sans';
font-style: normal;
font-weight: 500;
src: url("../fonts/Work_Sans_500.eot?#iefix") format("embedded-opentype"), url("../fonts/Work_Sans_500.woff") format("woff"), url("../fonts/Work_Sans_500.woff2") format("woff2"), url("../fonts/Work_Sans_500.svg#WorkSans") format("svg"), url("../fonts/Work_Sans_500.ttf") format("truetype");
}
body {
background: #fff;
color: #777;
}
=====================================================
== File: docs/blog/static/fonts/glyphicons-halflings-regular.svg
=====================================================
<?xml version="1.0" standalone="no"?>
<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd" >
<svg xmlns="http://www.w3.org/2000/svg">
<metadata></metadata>
<defs>
<font id="glyphicons_halflingsregular" horiz-adv-x="1200" >
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=====================================================
== File: docs/blog/layouts/partials/style.html
=====================================================
<link rel="stylesheet" href="http://cdn.bootcss.com/highlight.js/9.8.0/styles/monokai-sublime.min.css">
<link rel="stylesheet" href="http://ovfotjrsi.bkt.clouddn.com/docs/css/style.css">
=====================================================
== File: docs/blog/layouts/partials/logo.html
=====================================================
<a href="https://shardingsphere.apache.org/"><img src="https://shardingsphere.apache.org/document/current/img/logo_v2.png" /></a>
=====================================================
== File: docs/blog/layouts/partials/favicon.html
=====================================================
<link rel="shortcut icon" href="https://shardingsphere.apache.org/document/current/img/favicon.png" type="image/x-icon" />
=====================================================
== File: docs/blog/layouts/partials/menu-footer.html
=====================================================
<p></p>
=====================================================
== File: docs/blog/layouts/partials/javascript.html
=====================================================
<script src="http://cdn.bootcss.com/highlight.js/9.8.0/highlight.min.js"></script>
<script>hljs.initHighlightingOnLoad();</script>
=====================================================
== File: docs/blog/layouts/index.html
=====================================================
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta http-equiv="refresh" content="0; url=https://shardingsphere.apache.org/blog/en/material">
<title>Index</title>
</head>
<body>
</body>
</html>
=====================================================
== File: docs/blog/layouts/shortcodes/bilibili.html
=====================================================
<!DOCTYPE HTML>
<html>
<head>
</head>
<body>
<div class="aspect-ratio" style="position: relative; width: 100%; height: 0; padding-bottom: 75%">
<iframe
src="https://player.bilibili.com/player.html?bvid={{.Get 0 }}&page={{ if .Get 1 }}{{.Get 1}}{{ else }}1&high_quality=1&danmaku=0{{end}}"
scrolling="no"
border="0"
frameborder="no"
framespacing="0"
allowfullscreen="true"
sandbox="allow-top-navigation allow-same-origin allow-forms allow-scripts"
style="position: absolute; width: 100%; height: 100%; left: 0; top: 0;"
>
</iframe>
</div>
</body>
</html>
<!-- arguements &high_quality=1&danmaku=0 in src control the quality of video and bullet-screen comments-->
<!-- sandbox option avoid jumpping to bilibili.com -->
=====================================================
== File: docs/blog/layouts/shortcodes/qq.html
=====================================================
<!DOCTYPE html>
<html>
<head>
</head>
<body>
<div class="aspect-ratio" style="position: relative; width: 100%; height: 0; padding-bottom: 75%">
<iframe src="https://v.qq.com/txp/iframe/player.html?vid={{.Get 0 }}&autoplay=true&bullet=true"
scrolling="no"
border="0"
frameborder="no"
framespacing="0"
allowFullScreen="true"
sandbox="allow-top-navigation allow-same-origin allow-forms allow-scripts"
style="position: absolute; width: 100%; height: 100%; left: 0; top: 0;"
></iframe>
</div>
</body>
</html>
=====================================================
== File: docs/blog/themes/tale4zh/README.md
=====================================================
# Tale
This is a tale-hugo theme for Chinese.
## Quick Start
```
cd /path/to/your/hugo/
git submodule add https://github.com/hanyouqing/tale-hugo.git themes/tale4zh
git submodule init
git submodule update
```
Keep original documentation below:
---
[](https://travis-ci.com/EmielH/tale-hugo)
This is a port of the [Tale theme for Jekyll](https://github.com/chesterhow/tale) to Hugo. Tale is a minimal Jekyll theme curated for storytellers. Checkout the demo [here](https://chesterhow.github.io/tale/). I did not design this theme; I only ported it from Jekyll to Hugo.
## Installation
### 1. Install the theme
If your site is also under version control using git, the easiest way to install this theme is to add it as a submodule. If you have not created a git repo for your project yet, you need to run `git init` beforehand. Inside the folder of your Hugo site, run the following command.
```
git submodule add https://github.com/EmielH/tale-hugo.git themes/tale
```
Alternatively, you can clone the theme into your project.
```
git clone https://github.com/EmielH/tale-hugo.git themes/tale
```
### 2. Configure Hugo
Add the following line to `config.toml` to tell Hugo to use the theme.
```
theme = "tale"
```
=====================================================
== File: docs/blog/themes/tale4zh/static/css/fonts.css
=====================================================
/* libre-baskerville-regular - latin */
@font-face {
font-family: 'Libre Baskerville';
font-style: normal;
font-weight: 400;
src: url('/fonts/libre-baskerville-v7-latin-regular.eot'); /* IE9 Compat Modes */
src: local('Libre Baskerville'), local('LibreBaskerville-Regular'),
url('/fonts/libre-baskerville-v7-latin-regular.eot?#iefix') format('embedded-opentype'), /* IE6-IE8 */
url('/fonts/libre-baskerville-v7-latin-regular.woff2') format('woff2'), /* Super Modern Browsers */
url('/fonts/libre-baskerville-v7-latin-regular.woff') format('woff'), /* Modern Browsers */
url('/fonts/libre-baskerville-v7-latin-regular.ttf') format('truetype'), /* Safari, Android, iOS */
url('/fonts/libre-baskerville-v7-latin-regular.svg#LibreBaskerville') format('svg'); /* Legacy iOS */
}
/* libre-baskerville-700 - latin */
@font-face {
font-family: 'Libre Baskerville';
font-style: normal;
font-weight: 700;
src: url('/fonts/libre-baskerville-v7-latin-700.eot'); /* IE9 Compat Modes */
src: local('Libre Baskerville Bold'), local('LibreBaskerville-Bold'),
url('/fonts/libre-baskerville-v7-latin-700.eot?#iefix') format('embedded-opentype'), /* IE6-IE8 */
url('/fonts/libre-baskerville-v7-latin-700.woff2') format('woff2'), /* Super Modern Browsers */
url('/fonts/libre-baskerville-v7-latin-700.woff') format('woff'), /* Modern Browsers */
url('/fonts/libre-baskerville-v7-latin-700.ttf') format('truetype'), /* Safari, Android, iOS */
url('/fonts/libre-baskerville-v7-latin-700.svg#LibreBaskerville') format('svg'); /* Legacy iOS */
}
/* libre-baskerville-italic - latin */
@font-face {
font-family: 'Libre Baskerville';
font-style: italic;
font-weight: 400;
src: url('/fonts/libre-baskerville-v7-latin-italic.eot'); /* IE9 Compat Modes */
src: local('Libre Baskerville Italic'), local('LibreBaskerville-Italic'),
url('/fonts/libre-baskerville-v7-latin-italic.eot?#iefix') format('embedded-opentype'), /* IE6-IE8 */
url('/fonts/libre-baskerville-v7-latin-italic.woff2') format('woff2'), /* Super Modern Browsers */
url('/fonts/libre-baskerville-v7-latin-italic.woff') format('woff'), /* Modern Browsers */
url('/fonts/libre-baskerville-v7-latin-italic.ttf') format('truetype'), /* Safari, Android, iOS */
url('/fonts/libre-baskerville-v7-latin-italic.svg#LibreBaskerville') format('svg'); /* Legacy iOS */
}
@font-face {
font-family: 'webfont';
font-display: swap;
src: url('//at.alicdn.com/t/webfont_86oq155nxz.eot'); /* IE9*/
src: url('//at.alicdn.com/t/webfont_86oq155nxz.eot?#iefix') format('embedded-opentype'), /* IE6-IE8 */
url('//at.alicdn.com/t/webfont_86oq155nxz.woff2') format('woff2'),
url('//at.alicdn.com/t/webfont_86oq155nxz.woff') format('woff'), /* chrome、firefox */
url('//at.alicdn.com/t/webfont_86oq155nxz.ttf') format('truetype'), /* chrome、firefox、opera、Safari, Android, iOS 4.2+*/
url('//at.alicdn.com/t/webfont_86oq155nxz.svg#AlibabaPuHuiTiL') format('svg'); /* iOS 4.1- */
=====================================================
== File: docs/blog/themes/tale4zh/static/fonts/libre-baskerville-v7-latin-italic.svg
=====================================================
<?xml version="1.0" standalone="no"?>
<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
<svg xmlns="http://www.w3.org/2000/svg">
<defs >
<font id="LibreBaskerville" horiz-adv-x="458" ><font-face
font-family="Libre Baskerville"
units-per-em="1000"
panose-1="2 0 0 0 0 0 0 0 0 0"
ascent="970"
descent="-270"
alphabetic="0" />
<glyph unicode=" " glyph-name="space" horiz-adv-x="275" />
<glyph unicode="!" glyph-name="exclam" horiz-adv-x="317" d="M129 207L177 662Q184 726 200 753T252 780Q280 780 293 763T307 705Q307 686 304 668T293 626T273 571T243 494Q229 459 217 420T194 343T176 270T164 207H129ZM119 -10Q94 -10 76 7T57 51Q57 78
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<glyph unicode=""" glyph-name="quotedbl" horiz-adv-x="359" d="M154 564Q162 624 165 673T174 757T195 811T239 830Q256 830 265 821T275 795Q275 789 266 766T244 710T214 639T183 564H154ZM306 564Q314 624 317 673T326 757T347 811T391 830Q408 830
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== File: docs/blog/themes/tale4zh/static/fonts/libre-baskerville-v7-latin-regular.svg
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== File: docs/blog/themes/tale4zh/static/fonts/libre-baskerville-v7-latin-700.svg
=====================================================
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<glyph unicode="." glyph-name="period" horiz-adv-x="260" d="M54 64Q54 96 75 118T129 141Q162 141 184 119T206 64Q206 33 184 12T129 -10Q97 -10 76 11T54 64Z" />
<glyph unicode="/" glyph-name="slash" horiz-adv-x="477" d="M94 0H23L394 770H455L94 0Z" />
<glyph unicode="0" glyph-name="zero" horiz-adv-x="755" d="M375 780Q444 780 504 749T610 664T681 537T708 379Q708 298 682 227T610 104T505 21T375 -10Q307 -10 248 20T144 103T73 227T47 379Q47 464 73 537T143 664T247 749T375 780ZM375 48Q411 48 439 63T488
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=====================================================
== File: docs/blog/themes/tale4zh/theme.toml
=====================================================
# theme.toml template for a Hugo theme
# See https://github.com/gohugoio/hugoThemes#themetoml for an example
name = "Tale"
license = "MIT"
licenselink = "https://github.com/EmielH/tale-hugo/blob/master/LICENSE"
description = "A port of the Tale theme for Hugo. Tale is a minimal Jekyll theme curated for storytellers."
homepage = "https://github.com/EmielH/tale-hugo"
tags = ["minimal", "clean", "responsive", "simple", "personal", "blog", "starter", "light", "typography"]
features = ["pagination"]
min_version = "0.50"
[author]
name = "Emiel Hollander"
homepage = "https://www.emielhollander.nl"
# If porting an existing theme
[original]
name = "Chester How"
homepage = "https://github.com/chesterhow/tale"
repo = "https://github.com/chesterhow/tale"
=====================================================
== File: docs/blog/themes/tale4zh/layouts/_default/list.html
=====================================================
{{ define "main" }}
<main>
<div class="catalogue">
{{ range (.Paginate .Pages.ByWeight.Reverse).Pages }}
{{ .Render "summary" }}
{{ end }}
</div>
<div class="pagination">
{{ if .Paginator.HasPrev }}
<a href="{{ .Paginator.Prev.URL }}" class="left arrow">←</a>
{{ end }}
{{ if .Paginator.HasNext }}
<a href="{{ .Paginator.Next.URL }}" class="right arrow">→</a>
{{ end }}
<span>{{ .Paginator.PageNumber }}</span>
</div>
</main>
{{ end }}
=====================================================
== File: docs/blog/themes/tale4zh/layouts/_default/taxonomy.html
=====================================================
{{ define "main" }}
<main>
<h1>{{ strings.FirstUpper .Data.Singular }} {{ .Title }}</h1>
<div class="catalogue">
{{ range (.Paginate .Pages.ByWeight.Reverse).Pages }}
{{ .Render "summary" }}
{{ end }}
</div>
<div class="pagination">
{{ if .Paginator.HasPrev }}
<a href="{{ .Paginator.Prev.URL }}" class="left arrow">←</a>
{{ end }}
{{ if .Paginator.HasNext }}
<a href="{{ .Paginator.Next.URL }}" class="right arrow">→</a>
{{ end }}
<span>{{ .Paginator.PageNumber }}</span>
</div>
</main>
{{ end }}
=====================================================
== File: docs/blog/themes/tale4zh/layouts/_default/baseof.html
=====================================================
<!DOCTYPE html>
<html lang="{{ .Site.LanguageCode | default "en" }}">
<head>
<style>
a {
word-wrap: break-word;
}
</style>
</head>
<body>
{{ partial "head.html" . }}
<div style="position: sticky; position: -webkit-sticky; top: 0px; background-color: rgba(255, 255, 255, 0.888);">{{ partial "header.html" . }}</div>
{{ block "main" . }}{{ end }}
{{ partial "footer.html" . }}
</body>
</html>
=====================================================
== File: docs/blog/themes/tale4zh/layouts/_default/terms.html
=====================================================
{{ define "main" }}
<main>
<h1>{{ .Title }}</h1>
<div class="catalogue">
<ul>
{{- range (.Paginate .Data.Pages.ByWeight.Reverse).Pages -}}
<li><a href="{{ .Permalink }}">{{ .Title }}</a></li>
{{- end -}}
</ul>
</div>
<div class="pagination">
{{- if .Paginator.HasPrev -}}
<a href="{{ .Paginator.Prev.URL }}" class="left arrow">←</a>
{{- end -}}
{{- if .Paginator.HasNext -}}
<a href="{{ .Paginator.Next.URL }}" class="right arrow">→</a>
{{- end -}}
<span>{{ .Paginator.PageNumber }}</span>
</div>
</main>
{{ end }}
=====================================================
== File: docs/blog/themes/tale4zh/layouts/_default/single.html
=====================================================
{{ define "main" }}
<main>
<div class="post">
{{ partial "single/title.html" . }}
{{ partial "single/post-info.html" . }}
{{ partial "single/header.html" . }}
{{ .Content }}
{{ partial "single/footer.html" . }}
</div>
<div class="pagination">
{{- if .PrevPage }}
<a href="{{ .PrevPage.RelPermalink }}" class="left arrow">←</a>
{{- end }}
{{- if .NextPage }}
<a href="{{ .NextPage.RelPermalink }}" class="right arrow">→</a>
{{- end }}
<a href="#" class="top">Top</a>
</div>
</main>
{{ end }}
=====================================================
== File: docs/blog/themes/tale4zh/layouts/_default/summary.html
=====================================================
<a href="{{ .Permalink }}" class="catalogue-item">
<div>
<!-- <time datetime="{{ .PublishDate }}" class="catalogue-time">{{ i18n "publishdate" . }}</time> -->
<h2 class="catalogue-title">{{ .Title }}</h2>
<div class="catalogue-line"></div>
<p>
{{ if isset .Params "summary" }}{{ .Params.Summary | markdownify }}{{ else }}{{ substr .Summary 0 310 }}{{ end }}
</p>
</div>
</a>
=====================================================
== File: docs/blog/themes/tale4zh/layouts/404.html
=====================================================
=====================================================
== File: docs/blog/themes/tale4zh/layouts/partials/footer.html
=====================================================
<footer>
<span>
<!-- © <time datetime="{{ now }}">{{ now.Format "2006" }}</time> {{ .Site.Author.name }}. {{ i18n "generator" | safeHTML }} -->
Copyright © 2018-2020, <a href="https://shardingsphere.apache.org/blog/">Apache ShardingSphere</a>, ShardingSphere, Apache, the Apache feather logo, and the Apache ShardingSphere project logo are either registered trademarks or trademarks of The Apache Software Foundation in the United States and other countries.
</span>
</footer>
=====================================================
== File: docs/blog/themes/tale4zh/layouts/partials/head.html
=====================================================
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
{{- if .IsHome }}
<meta name="description" content="{{ .Site.Params.Description }}">
{{- else if .Description }}
<meta name="description" content="{{ .Description }}">
{{- end }}
<title>{{- if .IsHome }}{{ .Site.Title }}{{- else }}{{ .Title }} · {{ .Site.Title }}{{- end }}</title>
<!-- CSS -->
{{- $inServerMode := .Site.IsServer }}
{{- $cssTarget := "css/style.css" }}
{{- $cssOptions := cond ($inServerMode) (dict "targetPath" $cssTarget "enableSourceMap" true) (dict "targetPath" $cssTarget "outputStyle" "compressed") }}
{{- $style := resources.Get "scss/tale.scss" | toCSS $cssOptions }}
<link rel="stylesheet" href="{{ $style.RelPermalink }}">
<link rel="stylesheet" href="{{ "css/fonts.css" | relURL }}">
{{ range .Site.Params.css -}}
<link rel="stylesheet" href="{{ . | relURL }}">
{{ end -}}
<!-- Favicon -->
<link rel="icon" type="image/png" sizes="32x32" href="{{ "images/favicon-32x32.png" | relURL }}">
<link rel="icon" type="image/png" sizes="16x16" href="{{ "images/favicon-16x16.png" | relURL }}">
<link rel="apple-touch-icon" sizes="180x180" href="{{ "images/apple-touch-icon.png" | relURL }}">
<!-- RSS -->
<link href="{{ with .OutputFormats.Get "RSS" }}{{ .RelPermalink }}{{ end }}" rel="alternate" type="application/rss+xml" title="{{ .Site.Title }}" />
</head>
=====================================================
== File: docs/blog/themes/tale4zh/layouts/partials/single/footer.html
=====================================================
<!--
This is a placeholder partial for the post footer. Create a file called
layouts/partials/single/footer.html in your own site to overwrite this
placeholder.
-->
=====================================================
== File: docs/blog/themes/tale4zh/layouts/partials/single/post-info.html
=====================================================
<div class="post-info">
{{- if .Params.Author }}
<span>{{ i18n "writtenBy" }}</span>
{{ .Params.Author }}
{{- else }}
{{ .Site.Params.Author }}
{{- end }}
{{- if .PublishDate }}
<span>{{ i18n "on" }} </span><time datetime="{{ .PublishDate }}">{{ i18n "publishdate" . }}</time>
{{- end }}
</div>
=====================================================
== File: docs/blog/themes/tale4zh/layouts/partials/single/header.html
=====================================================
<!--
This is a placeholder partial for the post header. Create a file called
layouts/partials/single/header.html in your own site to overwrite this
placeholder.
-->
=====================================================
== File: docs/blog/themes/tale4zh/layouts/partials/single/title.html
=====================================================
<h1 class="post-title">{{ .Title }}</h1>
<!-- <div class="post-line"></div> -->
=====================================================
== File: docs/blog/themes/tale4zh/layouts/partials/header.html
=====================================================
<nav class="nav">
<div class="nav-container">
<a href="https://shardingsphere.apache.org/blog/">
<h1 class="nav-title">{{ .Site.Title }}</h1>
</a>
<span style="padding-left: 65px;">
{{ $currentPage := . }}
{{ range .Site.Menus.main }}
<li>
<a href="{{ .URL }}">
<h3>{{ .Name }}</h3>
</a>
</li>
{{ end }}
</span>
<span style="position: relative; left: 75px;
background: rgba(0, 0, 0, 0.664);
font-weight: bold;
padding:0.1rem;
padding-left:15px;
padding-right:15px;
padding-top: 2px;
padding-bottom: 5px;
border-radius:10px;">
{{ range .Translations }}
{{ if ne $.Site.Language .Language }}
<a style="color: white;" href="{{ .Permalink }}">{{ .Language.LanguageName }}</a>
{{ end }}
{{ end }}
</span>
</div>
</div>
</nav>
=====================================================
== File: docs/blog/themes/tale4zh/layouts/partials/header-menu.html
=====================================================
<ul>
{{ $currentPage := . }}
{{ range .Site.Menus.main }}
<li>
<a href="{{ .URL }}">
{{ .Pre }}
<span>{{ .Name }}</span>
{{ .Post }}
</a>
</li>
{{ end }}
</ul>
=====================================================
== File: docs/blog/themes/tale4zh/layouts/partials/index/introduction.html
=====================================================
<!--
This is a placeholder partial for the introduction. Create a file called
layouts/partials/index/introduction.html in your own site to overwrite this
placeholder.
-->
=====================================================
== File: docs/blog/themes/tale4zh/layouts/index.html
=====================================================
{{ define "main" }}
<main>
{{ partial "index/introduction.html" . }}
<div class="catalogue">
{{ range (.Paginate .Site.RegularPages).Pages }}
{{ .Render "summary" }}
{{ end }}
</div>
<div class="pagination">
{{ if .Paginator.HasPrev }}
<a href="{{ .Paginator.Prev.URL }}" class="left arrow">←</a>
{{ end }}
{{ if .Paginator.HasNext }}
<a href="{{ .Paginator.Next.URL }}" class="right arrow">→</a>
{{ end }}
<span>{{ .Paginator.PageNumber }}</span>
</div>
</main>
{{ end }}
=====================================================
== File: docs/blog/themes/tale4zh/layouts/about/list.html
=====================================================
{{ define "main" }}
<main>
<div class="post">
<h1 class="post-title">{{ .Title }}</h1>
<div class="post-line"></div>
{{ .Content }}
</div>
</main>
{{ end }}
=====================================================
== File: docs/blog/themes/tale4zh/i18n/de.toml
=====================================================
[writtenBy]
other = "Von"
[on]
other = "am"
[generator]
other = "Made with <a href='https://gohugo.io'>Hugo</a> using the <a href='https://github.com/EmielH/tale-hugo/'>Tale</a> theme."
[publishdate]
other = "{{ .PublishDate.Day }}. {{ index $.Site.Data.months_de (printf \"%d\" .PublishDate.Month) }} {{ .PublishDate.Year }}"
=====================================================
== File: docs/blog/themes/tale4zh/i18n/nl.toml
=====================================================
[writtenBy]
other = "Geschreven door"
[on]
other = "op"
[generator]
other = "Gemaakt met <a href='https://gohugo.io'>Hugo</a> en thema <a href='https://github.com/EmielH/tale-hugo/'>Tale</a>."
[publishdate]
other = "{{ .PublishDate.Day }} {{ index $.Site.Data.months_nl (printf \"%d\" .PublishDate.Month) }} {{ .PublishDate.Year }}"
=====================================================
== File: docs/blog/themes/tale4zh/i18n/en.toml
=====================================================
[writtenBy]
other = "Written by"
[on]
other = "on"
[generator]
other = "Made with <a href='https://gohugo.io'>Hugo</a> using the <a href='https://github.com/EmielH/tale-hugo/'>Tale</a> theme."
[publishdate]
other = "{{ .PublishDate.Format \"January 2, 2006\" }}"
=====================================================
== File: docs/blog/themes/tale4zh/i18n/fr.toml
=====================================================
[writtenBy]
other = "Écrit par"
[on]
other = "le"
[generator]
other = "Fait avec <a href='https://gohugo.io'>Hugo</a>, à partir du thème <a href='https://github.com/EmielH/tale-hugo/'>Tale</a>."
[publishdate]
other = "{{ .PublishDate.Day }} {{ index $.Site.Data.months_fr (printf \"%d\" .PublishDate.Month) }} {{ .PublishDate.Year }}"
=====================================================
== File: docs/blog/themes/tale4zh/i18n/es.toml
=====================================================
[writtenBy]
other = "Escrito por"
[on]
other = "el"
[generator]
other = "Hecho con <a href='https://gohugo.io'>Hugo</a> usando el tema <a href='https://github.com/EmielH/tale-hugo/'>Tale</a>."
[publishdate]
other = "{{ .PublishDate.Day }} de {{ index $.Site.Data.months_es (printf \"%d\" .PublishDate.Month) }} de {{ .PublishDate.Year }}"
=====================================================
== File: docs/blog/themes/tale4zh/data/months_es.yaml
=====================================================
1: "enero"
2: "febrero"
3: "marzo"
4: "abril"
5: "mayo"
6: "junio"
7: "julio"
8: "agosto"
9: "septiembre"
10: "octubre"
11: "noviembre"
12: "diciembre"
=====================================================
== File: docs/blog/themes/tale4zh/data/months_nl.yaml
=====================================================
1: "januari"
2: "februari"
3: "maart"
4: "april"
5: "mei"
6: "juni"
7: "juli"
8: "augustus"
9: "september"
10: "oktober"
11: "november"
12: "december"
=====================================================
== File: docs/blog/themes/tale4zh/data/months_fr.yaml
=====================================================
1: "janvier"
2: "février"
3: "mars"
4: "avril"
5: "mai"
6: "juin"
7: "juillet"
8: "août"
9: "septembre"
10: "octobre"
11: "novembre"
12: "décembre"
=====================================================
== File: docs/blog/themes/tale4zh/data/months_de.yaml
=====================================================
1: "Januar"
2: "Februar"
3: "März"
4: "April"
5: "Mai"
6: "Juni"
7: "Juli"
8: "August"
9: "September"
10: "Oktober"
11: "November"
12: "Dezember"
=====================================================
== File: docs/blog/themes/tale4zh/assets/scss/tale.scss
=====================================================
@import 'tale/variables';
@import 'tale/base';
@import 'tale/code';
@import 'tale/post';
@import 'tale/syntax';
@import 'tale/layout';
@import 'tale/pagination';
@import 'tale/catalogue';
=====================================================
== File: docs/blog/themes/tale4zh/assets/scss/tale/_syntax.scss
=====================================================
.highlight .hll { background-color: #ffc; }
.highlight .c { color: #999; } /* Comment */
.highlight .err { color: #a00; background-color: #faa } /* Error */
.highlight .k { color: #069; } /* Keyword */
.highlight .o { color: #555 } /* Operator */
.highlight .cm { color: #09f; font-style: italic } /* Comment.Multiline */
.highlight .cp { color: #099 } /* Comment.Preproc */
.highlight .c1 { color: #999; } /* Comment.Single */
.highlight .cs { color: #999; } /* Comment.Special */
.highlight .gd { background-color: #fcc; border: 1px solid #c00 } /* Generic.Deleted */
.highlight .ge { font-style: italic } /* Generic.Emph */
.highlight .gr { color: #f00 } /* Generic.Error */
.highlight .gh { color: #030; } /* Generic.Heading */
.highlight .gi { background-color: #cfc; border: 1px solid #0c0 } /* Generic.Inserted */
.highlight .go { color: #aaa } /* Generic.Output */
.highlight .gp { color: #009; } /* Generic.Prompt */
.highlight .gs { } /* Generic.Strong */
.highlight .gu { color: #030; } /* Generic.Subheading */
.highlight .gt { color: #9c6 } /* Generic.Traceback */
.highlight .kc { color: #069; } /* Keyword.Constant */
.highlight .kd { color: #069; } /* Keyword.Declaration */
.highlight .kn { color: #069; } /* Keyword.Namespace */
.highlight .kp { color: #069 } /* Keyword.Pseudo */
.highlight .kr { color: #069; } /* Keyword.Reserved */
.highlight .kt { color: #078; } /* Keyword.Type */
.highlight .m { color: #f60 } /* Literal.Number */
.highlight .s { color: #d44950 } /* Literal.String */
.highlight .na { color: #4f9fcf } /* Name.Attribute */
.highlight .nb { color: #366 } /* Name.Builtin */
.highlight .nc { color: #0a8; } /* Name.Class */
.highlight .no { color: #360 } /* Name.Constant */
.highlight .nd { color: #99f } /* Name.Decorator */
.highlight .ni { color: #999; } /* Name.Entity */
.highlight .ne { color: #c00; } /* Name.Exception */
.highlight .nf { color: #c0f } /* Name.Function */
.highlight .nl { color: #99f } /* Name.Label */
.highlight .nn { color: #0cf; } /* Name.Namespace */
.highlight .nt { color: #2f6f9f; } /* Name.Tag */
.highlight .nv { color: #033 } /* Name.Variable */
.highlight .ow { color: #000; } /* Operator.Word */
.highlight .w { color: #bbb } /* Text.Whitespace */
.highlight .mf { color: #f60 } /* Literal.Number.Float */
.highlight .mh { color: #f60 } /* Literal.Number.Hex */
.highlight .mi { color: #f60 } /* Literal.Number.Integer */
.highlight .mo { color: #f60 } /* Literal.Number.Oct */
.highlight .sb { color: #c30 } /* Literal.String.Backtick */
.highlight .sc { color: #c30 } /* Literal.String.Char */
.highlight .sd { color: #c30; font-style: italic } /* Literal.String.Doc */
.highlight .s2 { color: #c30 } /* Literal.String.Double */
.highlight .se { color: #c30; } /* Literal.String.Escape */
=====================================================
== File: docs/blog/themes/tale4zh/assets/scss/tale/_pagination.scss
=====================================================
.pagination {
border-top: .5px solid $grey-2;
font-family: $serif-secondary;
padding-top: 2rem;
position: relative;
text-align: center;
span {
color: $default-shade;
font-size: 1.1rem;
}
.top {
@include transition(all .3s ease-out);
color: $default-color;
font-family: $sans-serif;
font-size: 1.1rem;
opacity: .6;
&:hover {
opacity: 1;
}
}
.arrow {
@include transition(all .3s ease-out);
color: $default-color;
position: absolute;
&:hover,
&:focus {
opacity: .6;
text-decoration: none;
}
}
.left {
left: 0;
}
.right {
right: 0;
}
}
=====================================================
== File: docs/blog/themes/tale4zh/assets/scss/tale/_post.scss
=====================================================
.post {
padding: 3rem 0;
&-info {
color: $default-tint;
font-family: $serif-secondary;
letter-spacing: 0.5px;
text-align: right;
line-height: 1em;
span {
font-style: italic;
}
}
&-title {
color: $default-shade;
font-family: $sans-serif;
font-size: 1.5rem;
margin: 1rem 0;
text-align: center;
}
&-line {
border-top: 0.4rem solid $default-shade;
display: block;
margin: 0 auto 0.5rem;
width: 4rem;
}
h1 {
font-size: 1.8rem;
}
h2 {
border-left: 5px solid $black-0;
text-indent: 1rem;
font-size: 1.6rem;
}
h3 {
font-size: 1.4rem;
}
p {
margin: 0 0 1rem;
// text-align: justify;
line-height: 2em;
// text-indent: 2em;
text-indent: 0em;
}
=====================================================
== File: docs/blog/themes/tale4zh/assets/scss/tale/_base.scss
=====================================================
* {
@include box-sizing;
line-height: 2em;
font-family: "webfont";
padding-top: 5px;
padding-bottom: 5px;
}
html,
body {
color: $default-color;
background-color: #fff;
margin: 0;
padding: 0;
}
html {
font-family: $serif-primary;
font-size: 14px;
overflow-y: scroll;
@media (min-width: 700px) {
font-size: 16px;
}
}
body {
-webkit-text-size-adjust: 100%;
}
h1,
h2,
h3,
h4,
h5,
h6 {
color: $default-shade;
font-family: $sans-serif;
line-height: normal;
}
a {
color: $blue;
text-decoration: none;
}
blockquote {
// border-left: .25rem solid $grey-2;
color: $grey-5;
background: $gray-e;
=====================================================
== File: docs/blog/themes/tale4zh/assets/scss/tale/_catalogue.scss
=====================================================
.catalogue {
&-item {
border-bottom: 1px solid $grey-2;
color: $default-color;
display: block;
padding: 0 25px;
max-height: 30em;
margin-top: 10px;
&:hover .catalogue-line,
&:focus .catalogue-line {
width: 5rem;
}
&:last-child {
border: 0;
}
}
&-time {
color: $default-tint;
font-family: $serif-secondary;
letter-spacing: .5px;
}
&-title {
color: $default-shade;
display: block;
font-family: $sans-serif;
font-size: 1.5rem;
font-weight: 700;
margin: .5rem 0;
}
&-line {
@include transition(all .3s ease-out);
border-top: .2rem solid $default-shade;
display: block;
width: 2rem;
}
}
=====================================================
== File: docs/blog/themes/tale4zh/assets/scss/tale/_layout.scss
=====================================================
.container {
margin: 0 auto;
max-width: 800px;
width: 80%;
}
main,
footer,
.nav-container {
display: block;
margin: 0 auto;
max-width: 800px;
width: 80%;
}
.nav {
box-shadow: 0 2px 2px -2px $shadow-color;
overflow: auto;
position: -webkit-sticky;
&-container {
margin: 2rem auto;
position: relative;
text-align: center;
}
&-title {
@include transition(all .2s ease-out);
color: $default-color;
display: inline-block;
margin: 0;
padding-right: .2rem;
&:hover,
&:focus {
opacity: .6;
}
}
ul {
list-style-type: none;
margin: 1rem 0 0;
padding: 0;
text-align: center;
}
li {
@include transition(all .2s ease-out);
color: $default-color;
display: inline-block;
=====================================================
== File: docs/blog/themes/tale4zh/assets/scss/tale/_variables.scss
=====================================================
// Colors
$default-color: #555;
$default-shade: #353535;
$default-tint: #aaa;
$black-0: #000;
$gray-e: #eee;
$grey-1: #979797;
$grey-2: #e5e5e5;
$grey-3: #f9f9f9;
$gray-4: #cccedb;
$grey-5: #767475;
$white: #fff;
$blue: #4a9ae1;
$shadow-color: rgba(0, 0, 0, .2);
$code-color: #bf616a;
// Fonts
$serif-primary: 'Libre Baskerville', 'Times New Roman', Times, serif;
$serif-secondary: Palatino, 'Palatino LT STD', 'Palatino Linotype', 'Book Antiqua', 'Georgia', serif;
$sans-serif: 'Mirosoft Yahei', 'Helvetica Neue', 'Segoe UI', Helvetica, Arial, sans-serif;
$monospaced: Menlo, Monaco, monospace;
@mixin box-sizing($type: border-box) {
-webkit-box-sizing: $type;
-moz-box-sizing: $type;
box-sizing: $type;
}
@mixin transition($args...) {
-webkit-transition: $args;
-moz-transition: $args;
transition: $args;
}
=====================================================
== File: docs/blog/themes/tale4zh/assets/scss/tale/_code.scss
=====================================================
pre,
code {
font-family: $monospaced;
}
code {
background-color: $grey-3;
border-radius: 3px;
color: $code-color;
font-size: 85%;
padding: .25em .5em;
// white-space: pre-wrap;
}
pre {
margin: 0 0 1rem;
padding: 1rem;
}
pre code {
background-color: transparent;
color: inherit;
font-size: 100%;
padding: 0;
}
.highlight {
background-color: $grey-3;
border-radius: 3px;
line-height: 1.4;
margin: 0 0 1rem;
padding: 1rem;
pre {
margin-bottom: 0;
overflow-x: auto;
}
.lineno {
color: $default-tint;
display: inline-block; // Ensures the null space also isn't selectable
padding: 0 .75rem 0 .25rem;
// Make sure numbers aren't selectable
-webkit-user-select: none;
-moz-user-select: none;
user-select: none;
}
}
=====================================================
== File: docs/blog/themes/tale4zh/.travis.yml
=====================================================
env:
- HUGO_VERSION="0.50"
- HUGO_VERSION="0.51"
- HUGO_VERSION="0.52"
- HUGO_VERSION="0.53"
- HUGO_VERSION="0.54.0"
- HUGO_VERSION="0.55.6"
- HUGO_VERSION="0.56.3"
- HUGO_VERSION="0.57.2"
- HUGO_VERSION="0.58.3"
install:
- wget https://github.com/gohugoio/hugo/releases/download/v${HUGO_VERSION}/hugo_${HUGO_VERSION}_Linux-64bit.tar.gz
- tar xf hugo_${HUGO_VERSION}_Linux-64bit.tar.gz
- mv hugo ~/bin/
- hugo version
- gem install html-proofer
- htmlproofer --version
- git clone https://github.com/EmielH/hugo-theme-test.git
script:
- cd hugo-theme-test
- hugo -t tale-hugo --themesDir ../..
- htmlproofer public --check-html --disable-external --allow-hash-href --checks-to-ignore LinkCheck
=====================================================
== File: docs/blog/themes/tale4zh/resources/_gen/assets/scss/scss/tale.scss_5ad6f408b0e3e473c748aac88af0ea18.content
=====================================================
* {
-webkit-box-sizing: border-box;
-moz-box-sizing: border-box;
box-sizing: border-box;
line-height: 1.5; }
html,
body {
color: #555;
background-color: #fff;
margin: 0;
padding: 0; }
html {
font-family: "Libre Baskerville", "Times New Roman", Times, serif;
font-size: 14px;
overflow-y: scroll; }
@media (min-width: 600px) {
html {
font-size: 16px; } }
body {
-webkit-text-size-adjust: 100%; }
h1,
h2,
h3,
h4,
h5,
h6 {
color: #353535;
font-family: "Helvetica Neue", "Segoe UI", Helvetica, Arial, sans-serif;
line-height: normal; }
a {
color: #4a9ae1;
text-decoration: none; }
blockquote {
border-left: 0.25rem solid #e5e5e5;
color: #979797;
margin: .8rem 0;
padding: .5rem 1rem; }
blockquote p:last-child {
margin-bottom: 0; }
@media (min-width: 600px) {
blockquote {
padding: 0 5rem 0 1.25rem; } }
img {
=====================================================
== File: docs/blog/themes/tale4zh/resources/_gen/assets/scss/scss/tale.scss_33d66d0b5f8b04b1d41c1da7ba50ddae.content
=====================================================
*{-webkit-box-sizing:border-box;-moz-box-sizing:border-box;box-sizing:border-box;line-height:1.5}html,body{color:#555;background-color:#fff;margin:0;padding:0}html{font-family:"Libre Baskerville","Times New Roman",Times,serif;font-size:14px;overflow-y:scroll}@media (min-width: 600px){html{font-size:16px}}body{-webkit-text-size-adjust:100%}h1,h2,h3,h4,h5,h6{color:#353535;font-family:"Helvetica Neue","Segoe UI",Helvetica,Arial,sans-serif;line-height:normal}a{color:#4a9ae1;text-decoration:none}blockquote{border-left:0.25rem solid #e5e5e5;color:#979797;margin:.8rem 0;padding:.5rem 1rem}blockquote p:last-child{margin-bottom:0}@media (min-width: 600px){blockquote{padding:0 5rem 0 1.25rem}}img{display:block;margin:0 0 1rem;max-width:100%}td{vertical-align:top}pre,code{font-family:Menlo,Monaco,monospace}code{background-color:#f9f9f9;border-radius:3px;color:#bf616a;font-size:85%;padding:.25em .5em;white-space:pre-wrap}pre{margin:0 0 1rem}pre code{background-color:transparent;color:inherit;font-size:100%;padding:0}.highlight{background-color:#f9f9f9;border-radius:3px;line-height:1.4;margin:0 0 1rem;padding:1rem}.highlight pre{margin-bottom:0;overflow-x:auto}.highlight .lineno{color:#aaa;display:inline-block;padding:0 .75rem 0 .25rem;-webkit-user-select:none;-moz-user-select:none;user-select:none}.post{padding:3rem 0}.post-info{color:#aaa;font-family:Palatino,"Palatino LT STD","Palatino Linotype","Book Antiqua","Georgia",serif;letter-spacing:0.5px;text-align:center}.post-info span{font-style:italic}.post-title{color:#353535;font-family:"Helvetica Neue","Segoe UI",Helvetica,Arial,sans-serif;font-size:4rem;margin:1rem 0;text-align:center}.post-line{border-top:0.4rem solid #353535;display:block;margin:0 auto 3rem;width:4rem}.post p{margin:0 0 1rem;text-align:justify}.post a:hover{text-decoration:underline}.post img{margin:0 auto 0.5rem}.post img+em{color:#aaa;display:block;font-family:"Helvetica Neue","Segoe UI",Helvetica,Arial,sans-serif;font-size:0.9rem;font-style:normal;text-align:center}.post img.emoji{display:inline-block;left:0;transform:none;width:1rem;height:1rem;vertical-align:text-top;padding:0;margin:0}.highlight .hll{background-color:#ffc}.highlight .c{color:#999}.highlight .err{color:#a00;background-color:#faa}.highlight .k{color:#069}.highlight .o{color:#555}.highlight .cm{color:#09f;font-style:italic}.highlight .cp{color:#099}.highlight .c1{color:#999}.highlight .cs{color:#999}.highlight .gd{background-color:#fcc;border:1px solid #c00}.highlight .ge{font-style:italic}.highlight .gr{color:#f00}.highlight .gh{color:#030}.highlight .gi{background-color:#cfc;border:1px solid #0c0}.highlight .go{color:#aaa}.highlight .gp{color:#009}.highlight .gu{color:#030}.highlight .gt{color:#9c6}.highlight .kc{color:#069}.highlight .kd{color:#069}.highlight .kn{color:#069}.highlight .kp{color:#069}.highlight .kr{color:#069}.highlight .kt{color:#078}.highlight .m{color:#f60}.highlight .s{color:#d44950}.highlight .na{color:#4f9fcf}.highlight .nb{color:#366}.highlight .nc{color:#0a8}.highlight .no{color:#360}.highlight .nd{color:#99f}.highlight .ni{color:#999}.highlight .ne{color:#c00}.highlight .nf{color:#c0f}.highlight .nl{color:#99f}.highlight .nn{color:#0cf}.highlight .nt{color:#2f6f9f}.highlight .nv{color:#033}.highlight .ow{color:#000}.highlight .w{color:#bbb}.highlight .mf{color:#f60}.highlight .mh{color:#f60}.highlight .mi{color:#f60}.highlight .mo{color:#f60}.highlight .sb{color:#c30}.highlight .sc{color:#c30}.highlight .sd{color:#c30;font-style:italic}.highlight .s2{color:#c30}.highlight .se{color:#c30}.highlight .sh{color:#c30}.highlight .si{color:#a00}.highlight .sx{color:#c30}.highlight .sr{color:#3aa}.highlight .s1{color:#c30}.highlight .ss{color:#fc3}.highlight .bp{color:#366}.highlight .vc{color:#033}.highlight .vg{color:#033}.highlight .vi{color:#033}.highlight .il{color:#f60}.css .o,.css .o+.nt,.css .nt+.nt{color:#999}.container{margin:0 auto;max-width:800px;width:80%}main,footer,.nav-container{display:block;margin:0 auto;max-width:800px;width:80%}.nav{box-shadow:0 2px 2px -2px rgba(0,0,0,0.2);overflow:auto}.nav-container{margin:1rem auto;position:relative;text-align:center}.nav-title{-webkit-transition:all 0.2s ease-out;-moz-transition:all 0.2s ease-out;transition:all 0.2s ease-out;color:#555;display:inline-block;margin:0;padding-right:.2rem}.nav-title:hover,.nav-title:focus{opacity:.6}.nav ul{list-style-type:none;margin:1rem 0 0;padding:0;text-align:center}.nav li{-webkit-transition:all 0.2s ease-out;-moz-transition:all 0.2s ease-out;transition:all 0.2s ease-out;color:#555;display:inline-block;opacity:.6;padding:0 2rem 0 0}.nav li:last-child{padding-right:0}.nav li:hover,.nav li:focus{opacity:1}.nav a{color:#555;font-family:"Helvetica Neue","Segoe UI",Helvetica,Arial,sans-serif}@media (min-width: 600px){.nav-container{text-align:left}.nav ul{bottom:0;position:absolute;right:0}}footer{font-family:Palatino,"Palatino LT STD","Palatino Linotype","Book Antiqua","Georgia",serif;padding:2rem 0;text-align:center}footer span{color:#555;font-size:.8rem}.pagination{border-top:0.5px solid #e5e5e5;font-family:Palatino,"Palatino LT STD","Palatino Linotype","Book Antiqua","Georgia",serif;padding-top:2rem;position:relative;text-align:center}.pagination span{color:#353535;font-size:1.1rem}.pagination .top{-webkit-transition:all 0.3s ease-out;-moz-transition:all 0.3s ease-out;transition:all 0.3s ease-out;color:#555;font-family:"Helvetica Neue","Segoe UI",Helvetica,Arial,sans-serif;font-size:1.1rem;opacity:.6}.pagination .top:hover{opacity:1}.pagination .arrow{-webkit-transition:all 0.3s ease-out;-moz-transition:all 0.3s ease-out;transition:all 0.3s ease-out;color:#555;position:absolute}.pagination .arrow:hover,.pagination .arrow:focus{opacity:.6;text-decoration:none}.pagination .left{left:0}.pagination .right{right:0}.catalogue-item{border-bottom:1px solid #e5e5e5;color:#555;display:block;padding:2rem 0}.catalogue-item:hover .catalogue-line,.catalogue-item:focus .catalogue-line{width:5rem}.catalogue-item:last-child{border:0}.catalogue-time{color:#aaa;font-family:Palatino,"Palatino LT STD","Palatino Linotype","Book Antiqua","Georgia",serif;letter-spacing:.5px}.catalogue-title{color:#353535;display:block;font-family:"Helvetica Neue","Segoe UI",Helvetica,Arial,sans-serif;font-size:2rem;font-weight:700;margin:.5rem 0}.catalogue-line{-webkit-transition:all 0.3s ease-out;-moz-transition:all 0.3s ease-out;transition:all 0.3s ease-out;border-top:0.2rem solid #353535;display:block;width:2rem}
=====================================================
== File: docs/blog/themes/tale4zh/archetypes/default.md
=====================================================
+++
+++
=====================================================
== File: docs/blog/themes/tale4zh/.gitattributes
=====================================================
resources/** -diff -merge
resources/** linguist-generated=true
=====================================================
== File: docs/blog/content/material/committer.en.md
=====================================================
+++
title = "Would you like to become an Apache committer"
weight = 5
chapter = true
+++
### What is the Apache Software Foundation？
The Apache Software Foundation (Apache Software Foundation) is the most influential non-profit open source software project organization today. It was formally established in 1999 and is mainly composed of groups of developers and users. Under the leadership of the Apache Software Foundation, more than 350 top open source projects have graduated, including Apache HTTP Server, the world's most famous web server software. Adhering to the spirit of "openness, innovation and community", many Apache projects have established a strong and successful ecosystem, and the community is full of vitality.
In addition to many projects that are very influential in the field of information technology, the Apache License (Apache License), Apache Contributor Agreement License (CLAs), and the open cooperation model (Apache Way) also have outstanding contributions in the industry and their influence far beyond the Apache Software Foundation.
The Apache Software Foundation is now the cornerstone of the modern open source software ecosystem.
### Why become an Apache committer？
Having said that, no matter how much you have learned about the Apache Software Foundation before, you can see that this is an extremely influential organization and widely recognized in the industry.
If you can become an officially recognized committer, it is not only a great recognition of yourself, which you have the ability to participate in Apache-level project development and make a tangible contribution; but it can also be widely respected in the industry, whether it is for job search It's helpful to get promoted or raise a salary.
To put it simply, whether it is showing off with other friends or writing on your resume, it can gain your face.
In addition, officially recognized committer will also get mailboxes with @apache suffix, and they can also be listed on the Apache website.
(http://people.apache.org/committer-index.html)
Of the millions of engineers in the world, only a very small number of people can become a committer with these privileges, is it tempting?
Imagine if your friends see your name when they browse the Apache website, or when you send emails to the interviewer, they will have a feeling of unconsciousness, and the image will immediately become tall and woody!
### How to become an officially recognized committer？
The following is the focus of this article. What needs to be done to become an officially recognized committer?
Actively participate in the Apache project, such as Apache ShardingSphere.
How about starting with a task and training hands? The tasks currently announced are as follows, welcome to receive:
- Implement rule configuration of Sharding-SpringBoot using Inline expression
https://github.com/apache/shardingsphere/issues/1686
- Implement the rule configuration of Sharding-SpringBoot using SpringBoot placeholder
=====================================================
== File: docs/blog/content/material/2022_09_02_First_Look_at_ShardingSphere_5.2.0_&_In-Person_Meetup_on_Massive_Data_Management_Practices.en.md
=====================================================
+++
title = "First Look at ShardingSphere 5.2.0 & In-Person Meetup on Massive Data Management Practices"
weight = 72
chapter = true
+++
**One more day before ShardingSphere's first in-person meetup in Beijing on September 3, 2022.**
**Join us to learn about the best practices and technical highlights of Apache ShardingSphere's latest release - version`5.2.0`.**
On Saturday, the first in-person Meetup of the ShardingSphere Community will be held in Beijing on Sep 3, 2022. Four technology experts from the developers’ community are invited to give you a detailed analysis of the following:
* How ShardingSphere can rapidly improve the data application ability of ordinary users driven by cloud scenarios.
* Comparison of data management effect between traditional data processing methods and ShardingSphere.
* Experience the ShardingSphere’s ecosystem simple operation in response to diverse e-commerce scenarios.
The community will reveal and demo Apache ShardingSphere v5.2.0 at this meetup. The latest version has taken a giant leap forward in terms of its features, performance, testing, documentation, examples, etc.
**Time:** September 3, 2022 **·** 2PM-5PM CST
**Location:** Multi-function Hall, 1st Floor, Intelligent Manufacturing Innovation Center, №32 Zhongguancun Street, Haidian District, Beijing
****
======================================
**First Look at ShardingSphere 5.2.0**
======================================
New Features
------------
The `5.2.0` release brings the following new features:
* Data sharding and SQL audit.
* MySQL `SHOW PROCESSLIST` & `KILL` features.
* Specific DistSQL for data migration & heterogeneous migration.
Best Practices
--------------
**1. Enhance user's ability to manage ShardingSphere**
Newly added features, including data sharding, SQL audit, and MySQL `SHOW PROCESSLIST` & `KILL`, can enhance users’ capability to manage ShardingSphere.
**2. Add heterogeneous database migration for users**
Specific DistSQL for data migration and heterogeneous migration is added. Data can be migrated from Oracle to PostgreSQL.
=====================================================
== File: docs/blog/content/material/Feb_18_Apache_ShardingSphere_5.1.0_Now_Avaliable.en.md
=====================================================
+++
title = "Apache ShardingSphere 5.1.0 Now Available"
weight = 35
chapter = true
+++
# Apache ShardingSphere 5.1.0 Now Available
[Apache ShardingSphere 5.1.0](https://github.com/apache/shardingsphere) is officially released and available. The previous 5.0.0 GA version was launched in November last year, and marked ShardingSphere’s evolution from middleware to an ecosystem.
This meant gaining the power to transform any database in a distributed database system, and enhance it with features such as data sharding, distributed transaction, data encryption, SQL audit, database gateway, and more.
For the past three months, the ShardingSphere community received a lot of feedback from developers, partners, and users across different industries. We’d like to extend our gratitude for the feedback they provided, because, without it, this update would not be possible.
Our community author and Apache ShardingSphere PMC, [Meng Haoran](https://twitter.com/HaoranMeng2), shares with you in detail what’s new in Apache ShardingSphere version 5.1.0.
Based on user feedback from the 5.0.0 GA version, we also decided to commit our efforts to improve ShardingSphere’s ecosystem, kernel and feature modules:
## Kernel
Building a powerful and stable kernel has always been the purpose of ShardingSphere.
In the new version we fix a large number of issues to better support parsing for [PostgreSQL](https://www.postgresql.org/) and [openGauss](https://opengauss.org/en/) SQL, and now support function parsing and `binlog` statement parsing.
W also optimized the rewriter engine and improved efficiency for loading massive single tables, to further improve overall kernel performance. Moreover, ShardingSphere now adds the SQL `hint` function that enables users to use the forced routing function more conveniently.
## Access Terminal
For ShardingSphere-Proxy, we fix the issue of parsing [MySQL](https://www.mysql.com/)/PostgreSQL protocol, while we also added `SCRAM SHA-256`authentication mode to support openGauss and optimize the openGauss batch inserts protocol to improve the data insert performance.
For ShardingSphere-JDBC, we removed check for `NULL` values in rules, so users can still use JDBC even if there is no value in rules. We also optimized the metadata of the logical database only loading the specified `schemaName`to accelerate boot-up.
## Elastic Scale-Out
We made many adjustments to elastic scale-out in this version.
First, the original scaling module is moved to the data-pipeline module under the kernel. In the future, this module will provide most data processing capabilities except for data migration.
Second, scaling configuration has been moved from `server.yaml` to the`config-sharding.yaml` configuration file. Together with data sharding, elastic scale-out will provide users with better data sharding services.
## DistSQL
Many practical languages can now be implemented. More tools are provided for users to manage the ShardingSphere distributed database ecosystem.
Some distributed cluster governance capabilities are optimized as well. For example, when users enable/stop instances through `instanceId` while there is only one secondary database, the users will be informed that they cannot stop the instances — significantly improving user experience.
## Read/Write Splitting and High Availability
The API of read/write splitting and high availability are both optimized. Read/write splitting now supports both static and dynamic configurations, while the static configuration needs to be used with high availability.
The high availability configuration and algorithm are isolated, making its configuration more unified and concise. Additionally, `SpringBoot` and `Spring Namespace`now support the configuration of high availability as well as the implementation of openGauss’ high availability feature.
## Shadow Database
=====================================================
== File: docs/blog/content/material/2023_03_07_ShardingSphere_5.3.x_Update_Spring_Configuration_Update_Guide.en.md
=====================================================
+++
title = "ShardingSphere 5.3.x Update: Spring Configuration Update Guide"
weight = 90
chapter = true
+++
Before 5.3.0, ShardingSphere-JDBC supported Java API, YAML, Spring Boot Starter, and Spring Namespace.
However, compatibility with Spring has brought the following challenges to the community:
- Many configuration files need to be adjusted when adding or updating API, which causes a heavy workload.
- The community needs to maintain lots of configuration documents and examples.
- Spring Bean life cycle management is susceptible to other project dependencies, such as PostProcessor.[1][2]
- Spring Boot Starter and Spring Namespace's style differs from YAML in ShardingSphere.
- Spring Boot Starter and Spring Namespace are affected by the update of Spring, causing more configuration compatibility problems.
For example, in the latest release of Spring Boot 3.0.0,
`spring.factories` supported in 2.x has been removed.[3][4]
This is a challenge for ShardingSphere Spring Boot Starter users. It's hard to upgrade because it would cause new compatibility problems.
As a result, our community decided to remove all Spring dependencies and configuration support in the ShardingSphere 5.3.0 Release.
So, how do the ShardingSphere-JDBC users who need to use Spring Boot or Spring Namespace access ShardingSphere and upgrades? Read on to find the solutions.
# **Impact**
For the convenience of users who are using ShardingSphere Spring Boot Starter or ShardingSphere Spring Namespace to assess the impact of the upgrade, we have sorted out the impact of this upgrade:
## Maven Coordinates
The original Spring-related dependency coordinates will be invalid after the upgrade to ShardingSphere 5.3.0 and future versions.
```xml
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-jdbc-core-spring-boot-starter</artifactId>
<version>${shardingsphere.version}</version>
</dependency>
<dependency>
<groupId>org.apache.shardingsphere</groupId>
<artifactId>shardingsphere-jdbc-core-spring-namespace</artifactId>
<version>${shardingsphere.version}</version>
</dependency>
```
=====================================================
== File: docs/blog/content/material/2023_06_15_Chaos_Engineering.md
=====================================================
+++
title = "Chaos Engineering: Efficient Way to Improve System Availability"
weight = 101
chapter = true
+++
Resilience is a crucial requirement for ShardingSphere-Proxy, an essential database infrastructure. Testing and verifying resilience can be efficiently achieved through the use of chaos engineering methodology. To support customized chaos engineering, the [ShardingSphere-on-Cloud](https://shardingsphere.apache.org/oncloud/) project is designing and implementing a new [CustomResourceDefinition](https://kubernetes.io/docs/concepts/extend-kubernetes/api-extension/custom-resources/) (CRD) called Chaos. This post provides a practical description of CRD’s concept and features, helping the community better understand its potential benefits.
# What is chaos engineering
System availability is a critical metric for evaluating service reliability. Numerous methods can ensure high availability, including engineering resilience and techniques, and others. One such technique is chaos engineering, which involves introducing software faults into production systems to enhance availability.
According to [Principles of Chaos](https://principlesofchaos.org/) (2019), the definition of chaos engineering is:
> “Chaos Engineering is the discipline of experimenting on a system to build confidence in the system’s capability to withstand turbulent conditions in production.”
In other words, chaos engineering is a practice that aims to enhance system robustness by detecting potential weaknesses in software systems early, ultimately preventing major disruptions or failures.
# Why is chaos engineering needed
The complexity of a system can be shown in a linear and nonlinear way as well as reflect how changes in the input of a system affect the output.
A linear system is typically predictable. There are many examples of linear systems in nature, such as simple mathematical functions and physical definitions.
In contrast, the output of a nonlinear system cannot be accurately calculated. In a large distributed program, components interact with each other, and we cannot determine if expected output can be achieved under various inputs.
Currently, most programs are increasingly complex. In common cloud environments, coordinating various components is becoming more challenging (such as Kubernetes, along with the services running on it, like Istio, Envoy, and other software infrastructure).
<div class="caption-center"> Figure 1. Infrastructure stack for general service </div>
The complexity and rapid changes inherent to many systems often lead to developers having a narrow understanding of the overall picture. For example, developers behind a mall system may not familiar with the technical details of the infrastructure they adopted. With increased complexity, any single person’s understanding on the model built by the system may become less accurate. Hence, gaining a complete comprehension of a complex system is not realistic.
Chaos is inherent and describes an unknown state in complex systems. **Chaos engineering is used to discover chaos in complex systems, learn the behavior of the system, and develop the ability to respond to failures and restore the system to a steady state.**
# The guidelines and practical ways of chaos engineering
## Formulate a hypothesis about steady-state
Every experiment begins with a hypothesis, often taking the form of “even in XYZ circumstances, the system remains in a steady state.” This principle emphasizes the establishment of hypotheses based on defining steady states. Therefore, we should define various indicators of the system’s normal state based on long-term monitoring of the production environment and focus on measurable outputs, rather than internal properties of the system.
When identifying a steady state, it’s often essential to consider the global outputs of the system, such as running logs, performance logs, alerts, and program behavior, and abstract them into steady-state conditions. Having introduced experimental variables (faults), these steady-state conditions should change as expected.
When the system is in the steady state we defined, we should consider that the system can provide services normally to the outside world. In addition, monitoring the steady state is also important so that the system can recover to the steady state in a short period of time.
## Introducing diverse real-world events
We ought to introduce events that are real and what we care about such as trying to reproduce faults that occurred in the production environment, such as cache avalanche, service degradation, etc.
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title = "Understanding Apache ShardingSphere's SPI, and why it’s simpler than Dubbo’s"
weight = 61
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## Why learn [ShardingSphere](https://shardingsphere.apache.org/)’s SPI?
You might already be familiar with [Java](https://www.java.com/en/) and [Dubbo](https://dubbo.apache.org/en/)’s SPI ([Service Provider Interface](https://en.wikipedia.org/wiki/Service_provider_interface)) mechanism, so you may wonder “why would I learn about [ShardingSphere](https://shardingsphere.apache.org/)’s SPI mechanism?” The reasons are quite simple:
1. ShardingSphere’s source code is simpler and easier to adapt.
2. The execution of ShardingSphere’s SPI mechanism is quite smooth, with less code required for day-to-day operations. Unlike Dubbo’s SPI mechanism and its additional features related to [IoC](https://medium.com/@amitkma/understanding-inversion-of-control-ioc-principle-163b1dc97454), the one in ShardingSphere only preserves the fundamental structure, making it effortless to use.
## Understanding ShardingSphere’s SPI
We also have to mention some shortcomings found in the [Java SPI](https://docs.oracle.com/javase/tutorial/sound/SPI-intro.html) mechanism:
1. Instances of the [ServiceLoader](https://docs.oracle.com/javase/8/docs/api/java/util/ServiceLoader.html) class with multiple concurrent threads are not safe to use.
2. Each time you get an element, you need to iterate through all the elements, and you can’t load them on demand.
3. When the implementation class fails to load, an exception is prompted without indicating the real reason, making the error difficult to locate.
4. The way to get an implementation class is not flexible enough. It can only be obtained through the [Iterator](https://docs.oracle.com/javase/8/docs/api/java/util/Iterator.html) form, not based on one parameter to get the corresponding implementation class.
In light of this, let’s see how [ShardingSphere](https://shardingsphere.apache.org/) solves these problems in a simple way.
## Loading SPI class
Dubbo is a direct rewrite of its own SPI, including the SPI file name and the way the file is configured, in stark contrast to [JDK](https://www.oracle.com/java/technologies/downloads/). Let’s briefly compare the differences between the uses of these two:
**Java SPI**
Add interface implementation class under the folder `META-INF/services`
```
optimusPrime = org.apache.spi.OptimusPrime
bumblebee = org.apache.spi.Bumblebee
```
**Dubbo SPI**
Add the implementation class of the interface to the folder `META-INF/services`, configure by means of `key`, `value` like the following example:
```
optimusPrime = org.apache.spi.OptimusPrime
bumblebee = org.apache.spi.Bumblebee
```
We can see now that Dubbo’s Java SPI is completely different from the JDK SPI.
## How does ShardingSphere easily extend the JDK SPI?
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title = "How does Apache ShardingSphere implement distributed transactions?"
weight = 55
chapter = true
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With increasing amounts of data and increasing traffic load, business systems are facing significant challenges, and a strong demand for the scalability of database systems has emerged. Problems in online scaling of traditional standalone databases such as [Oracle](https://www.oracle.com/), [MySQL](https://www.mysql.com/), [SQL Server](https://www.microsoft.com/en-us/sql-server/sql-server-downloads), and [PostgreSQL](https://www.postgresql.org/) is now more evident than ever. In such cases, the distributed database that can scale out was conceived to solve these scaling challenges. All of this means that distributed transactions are a problem that must be tackled.
In this context, ShardingSphere provides a distributed database computing enhancement engine that can support distributed transactions with an ecosystem that is easily expandable thanks to a plugin oriented architecture.
## Transaction processing
**Transaction properties**
Three properties define transactions: atomicity, durability, consistency, and isolation.
**Atomicity**
In a distributed scenario, the operations of a transaction may be distributed on multiple physical nodes, ensuring that all operations on multiple nodes succeed or fail.
**Durability**
The operation of a transaction committed is valid even if the power is cut off.
**Consistency**
**Tip:** Here “Consistency” is different from the C in CAP theorem. The C in CAP refers to the data consistency between multiple copies, but here it refers to an abstract concept between different levels.
From a user’s persperctive, data transfers from one state to another and both states are confined to a certain degree. For example:
Bank account A has 500$ and account B has 500$, totalling 1,000$. After A and B perform the transfer operation in a transaction, their total amount is still 1,000$.
**Isolation**
When transactions are executed concurrently, data correctness is ensured. For example, two transactions modify the same data at the same time to ensure that the two transactions are executed in a certain order to keep the data correct.
**Challenges**
Compared to standalone transactions, distributed transactions face the following challenges:
1. Atomicity. For standalone transactions, using undo log and redo log guarantees full commit or full roll-back. However, distributed transactions involve multiple physical nodes, each of which is different. Some node logs can be written successfully, while others fail.
2. Network instability. Communication is stable for a standalone machine and any operation can be answered whether successful or not. However, in a distributed scenario, the network is unstable, and an operation may not be answered. Thus, how to ensure the availability of distributed transactions (clearing and recovery of abnormal transactions etc.) is a problem.
3. Concurrency control. With the advent of MVCC, linearizable operation has become a rigid demand. Globally increasing transaction numbers can easily be done in a standalone database, but not in a distributed scenario.
**Solutions**
**Atomic commit**
The mainstream solution to atomicity and network instability problems is [2PC (two-phase commit protocol)](https://en.wikipedia.org/wiki/Two-phase_commit_protocol), which defines two roles, that is TM (Transaction Manager) and RM (Resource Manager).
In distributed scenarios, the operations of a transaction can be distributed in multiple nodes. And the transaction includes two phases.
**Phase One:** RM locks related resources and performs specific operations and then returns success or failure to TM.
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title = "ShardingSphere Operator Practical Guide"
weight = 91
chapter = true
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# Apache ShardingSphere-on-Cloud sub-project
ShardingSphere-on-Cloud is a sub-project of Apache ShardingSphere for cloud solutions, covering verything from automated deployment scripts to virtual machines in AWS, GCP, AliCloud, Huawei Cloud cloud environments such as CloudFormation Stack templates, Terraform and more.
The project also covers tools such as Helm Charts, Operator, and automatic horizontal scaling in Kubernetes environments, and will gradually cover ShardingSphere high-availability, observability, and security compliance in cloud environments.
- If you want to quickly understand, validate or use the features of ShardingSphere-Proxy and don't have a Kubernetes environment, you can use AWS CloudFormation or Terraform for on-demand deployments, as described in the previous article "[Use AWS CloudFormation to create ShardingSphere HA clusters](https://shardingsphere.apache.org/blog/en/material/2022_12_13_use_aws_cloudformation_to_create_shardingsphere_ha_clusters/)".
- If you'd like to deploy in a Kubernetes environment, you can leverage the Operator feature or install ShardingSphere-Proxy directly without using Operator but with Helm Charts.
For more information, please refer to the [official documentation](https://shardingsphere.apache.org/oncloud/).
## Why Do You Need ShardingSphere Operator
Kubernetes provides a way to implement a "platform on top of a platform", the Operator pattern, which leverages a custom `CustomResourceDefinition` with the Kubernetes exposed Reconcile model framework.
The Reconcile model framework exposed by Kubernetes enables developers to quickly implement a declarative custom Ops tool for a given application, such as Prometheus-Operator, Nats-Operator, etc.
As a transparent database enhancement engine, Apache ShardingSphere supports access to any client using MySQL, PostgreSQL, openGauss protocols, with ShardingSphere-Proxy being more suitable to heterogeneous languages and high-availability scenarios.
Using Operator makes the deployment and maintenance of ShardingSphere-Proxy on Kubernetes much easier and more efficient.
# Using ShardingSphere Operator: An Example
Before using ShardingSphere, you will need to prepare one or more compatible databases as storage nodes.
Detailed instructions can be found in the [official documentation](https://shardingsphere.apache.org/oncloud/current/en/operation-guide/operator/) for the ShardingSphere-on-Cloud sub-project.
## Install ShardingSphere-Operator
Find the required configuration content and configuration [file directory for installation here](https://github.com/apache/shardingsphere-on-cloud/tree/main/charts/apache-shardingsphere-operator-charts).
To facilitate the installation of Operator, our community provides an online installation in addition to the source code installation. The two methods are as follows:
## Online Installation
```bash
kubectl create ns shardingsphere-operator
helm repo add shardingsphere https://apache.github.io/shardingsphere-on-cloud
helm repo update
helm install demo-release shardingsphere/apache-shardingsphere-operator-charts -n shardingsphere-operator
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title = "Refactoring the DistSQL Syntax | ShardingSphere 5.3.0 Deep Dive"
weight = 85
chapter = true
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# Background
[DistSQL (Distributed SQL)](https://shardingsphere.apache.org/document/5.1.0/en/concepts/distsql/) is ShardingSphere's SQL-like functional language. Since we released[ version 5.0.0-Beta](https://shardingsphere.apache.org/blog/en/material/ss_5.0.0beta/), we've been iterating rapidly and providing users with features including rule management, cluster management, and metadata management. It was an incremental improvement process including many steps.
At the same time, DistSQL is still releatively young. The [ShardingSphere](https://shardingsphere.apache.org/) community often receives fresh ideas and suggestions about DistSQL, which means fast growth with lots of possible different development directions.
Before releasing [version 5.3.0](https://medium.com/faun/shardingsphere-5-3-0-is-released-new-features-and-improvements-bf4d1c43b09b?source=your_stories_page-------------------------------------), our community refactored DistSQL systematically and optimized its syntax. This blog post will illustrate those adjustments one by one.
# Related Concepts
We have sorted out objects managed by DistSQL and classified them into the following categories according to their characteristics and scope of functions, to facilitate the understanding and design of DistSQL syntax.
## Node
The following is a typical hybrid architecture of ShardingSphere, among which:
**Compute Node**
ShardingSphere-JDBC and ShardingSphere-Proxy instances both provide computing capabilities and they are called compute nodes.
**Storage Node**
Physical databases `ds_0`, `ds_1`, and `ds_2` provide data storage capabilities and are called storage nodes. According to the different forms of storage nodes, the instance-level node is called a **Storage Node** (such as a MySQL instance), and the database-level node is called a **Storage Unit** (such as a MySQL database). A storage node can provide multiple storage units.
## Instance Object
Instance objects can be applied to entire compute node instances, and their capabilities affect operations in all logical databases.
**Global Rules**
Global rules include rule configurations that take effect globally in ShardingSphere, such as Authority, Transaction, SQL Parser, and SQL Translator. They control the authentication and authorization, distributed transaction, SQL parser, SQL translator and other functional engines, and are the basic configuration of compute node runtime.
**Note:** all global rules in ShardingSphere have default values. If users have no special needs, just keep the default values.
**Distributed Variables**
Distributed variables are a group of system-level variables in ShardingSphere, whose configuration also affects the entire compute node. They're called Dist Variables, so users can better distinguish them from the variables of the storage node and avoid confusion.
Additionally, if there are changes to distributed variable values, they are synchronized to the entire compute node cluster, for a truly distributed configuration.
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title = "A Holistic Pluggable Platform for Data Sharding — ICDE 2022 & Understanding Apache ShardingSphere"
weight = 48
chapter = true
+++
I bet you have at least once experienced accessibility issues on your preferred online shopping website. Yo may have not even thought much about it, or you may have attirbuted it to a slow internet connction, but the truth is that the increasing concurrent access that databases cannot deal with is one of the reasons.
Then it begs the question: how can we effectively solve the current database challenges? Data sharding could be a solution.
This article will introduce a paper titled “Apache ShardingSphere: A Holistic and Pluggable Platform for Data Sharding” which is co-authored by Chongqing University and SphereEx Lab and published by [International Conference on Data Engineering (ICDE)](https://icde2022.ieeecomputer.my/) 2022, one of the top-level database conferences in the world.
## Background
Data expansion and growing needs for data mean that databases are not only supposed to be able to manage large amounts of data, but to also support highly concurrent access.
Therefore, it’s necessary to design a database that can meet these two requirements since it can enhance user experience and solve website accessibility problems.
For now, relational databases are still the best choice for online transaction processing (OLTP). However, a relational database is designed for a single machine, which means its scalability could be poor when faced with large amountsof data, thus failing to resolve the problem of high concurrency cannot be quite resolved.
Although NoSQL databases such as HBase can support high concurrent requests, they are not suitable for OLTP and they may even cause data inconsistency. That’s why NewSQL has drawn a lot of attention, although we should note that “New” means that the database is developed from zero. Though suitable for current application scenarios, this type of database are still relatively untested, and NewSQL users and maintainers still need to fully learn the new technologies.
If you were to ask if it is feasible to insert a data sharding middleware between database and applications to connect and manage multiple existing databases, the answer is a resounding “yes”.
As shown in Figure 1 below, the sharding middleware distributes user queries to multiple databases in different machines, executes the queries separately, merges the multiple results, and returns them to the application, which effectively removes the limitations of a single machine.
For developers, the sharding middleware is transparent and easy to use — therefore making it very developer-friendly and efficient.
Designing a good data sharding middleware can be rather challenging.
**First**, the underlying databases used in different scenarios vary. These databases use different database protocols and SQL statements, making it difficult to support multiple databases under a unified framework. Additionally, there are many types of SQL statements (from simple queries to aggregations to Multi-Table JOINs, etc.), and route and merge strategies for different SQL statements also are also different.
**Second**, it is difficult to coordinate transactions across multiple databases, and sometimes a single transaction type may not support all scenarios.
**Third**, data sharding middleware could be inefficient since it takes some time to forward requests and merge results.
**Fourth**, database administrators (DBA) have to configure sharding rules one by one, which is time-consuming.
Apache ShardingSphere, as Apache’s first Top-Level open source database sharding project, can tackle all the above-mentioned challenges. The main goal of ShardingSphere is to reduce the impact of data sharding and allow coders to use data sharding databases as if they were using just one database. It provide the following features:
**1.Versatile.** ShardingSphere supports a variety of mainstream relational databases (in fact, it supports any database that meets the SQL-92 standard). A complete SQL engine is designed and implemented in ShardingSphere, so any type of SQL can be routed accurately. Additionally, it provides three types of distributed transactions and a variety of features. As far as I know, ShardingSphere is the first system that includes data sharding, strongly consistent transactions, and flexible transactions.
**2.Efficient.**
In addition to the proxy mode, ShardingSphere also provides JDBC access, which can greatly improve efficiency in most scenarios. Besides, ShardingSphere creates two execution modes and an intelligent strategy for choosing the appropriate execution mode and result merging strategy, which can help manage resources while ensuring efficiency.
**3.Pluggable and scalable.**
ShardingSphere is designed on the basis of SPIs (Service Provider Interface, a service discovery mechanism provided by Java JDK) among other design patterns. Therefore, multiple types of databases, functions, and sharding algorithms can be easily added. Furthermore, all existing functions can be removed or combined as needed.
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title = "ShardingSphere 5.2.1 is released — Here are the highlights"
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Our new 5.2.1 release brings new features and enhancements such as the ShardingSphere system database, SQL HINT mandatory sharding routing, asynchronous data consistency check, and support for Consul and Nacos governance center.
# Introduction
Following 1.5 months in development, [Apache ShardingSphere](https://shardingsphere.apache.org/) 5.2.1 is released. Our community merged 614 PRs from teams and individuals around the world. The [resulting 5.2.1 release](https://github.com/apache/shardingsphere/blob/master/RELEASE-NOTES.md) has been optimized in terms of features, performance, testing, documentation, examples, etc.
The new release brings the following highlights:
- ShardingSphere system database
- SQL HINT mandatory sharding routing
- Asynchronous data consistency check
Version 5.2.1 introduces a new ShardingSphere system database to provide statistical information for distributed databases. **The statistical information can help the SQL Federation execution engine evaluate the execution costs to select an execution plan with the lowest costs.** Moreover, ShardingSphere can collect the distribution information after data sharding, providing references for automatic sharding scaling management.
**SQL HINT is an important feature provided by ShardingSphere 5. x, with which users can flexibly control routes through SQL annotations.** The new release enhances the SQL HINT capability and supports data-sharding mandatory routing.
Users only need to add annotations in the format: `/* SHARDINGSPHERE_HINT: t_order.SHARDING_DATABASE_VALUE=1, t_order.SHARDING_TABLE_VALUE=1 */` before transferring sharding values to the ShardingSphere routing engine. Compared with the former HintManager method, SQL HINT is more flexible without requiring users to write code.
**The new version also enhances the data consistency check capability during data migration, enabling asynchronous execution of the check. Users can view the data migration progress through** [**DistSQL**](https://medium.com/nerd-for-tech/intro-to-distsql-an-open-source-more-powerful-sql-bada4099211)**, which improves the ease of data migration.**
Moreover, the **governance center now supports Consul and Nacos**, providing more choices for users. SQL compatibility is greatly improved. Read/write splitting has also been optimized, as Proxy can be started forcibly by using the `-f` parameter after the secondary database is disabled.
Next, this post will introduce the updates of ShardingSphere 5.2.1 in detail.
# Notable Highlights
## ShardingSphere System Database
Like [MySQL](https://www.mysql.com/) and [PostgreSQL](https://www.postgresql.org/) system databases, ShardingSphere 5.2.1 introduces a new system database to manage the metadata of databases.
ShardingSphere system database mainly stores dynamic and static metadata. Dynamic metadata refers to frequently updated data, such as statistical information from distributed databases, which needs to be collected and maintained regularly through built-in scheduling tasks.
In comparison, static metadata refers to data that will remain the same without user modification. An example is the status parameter of the ShardingSphere distributed database set by users, which only needs to be stored in the metadata database for querying.
As this function is currently in the experimental phase, you need to start collecting metadata through the following configuration.
```java
proxy-metadata-collector-enabled: true
```
Connect Proxy through the command line and then execute the `SHOW DATABASES` statement. We can see the new `shardingsphere` system database which stores the metadata of distributed databases.
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title = "A Distributed Database Load Balancing Architecture Based on ShardingSphere: Demo and User Case"
weight = 87
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This post introduces how to build a distributed database load-balancing architecture based on ShardingSphere, and the impact of introducing load balancing with a user case.
Finally, a one-stop solution for Apache ShardingSphere distributed databases on the cloud will be presented and demonstrated at the end.
# ShardingSphere-based distributed database load balancing architecture
## ShardingSphere Load Balancing Architecture Essentials
As many of our readers may already know, Apache ShardingSphere is a distributed database ecosystem that transforms any database into a distributed database and enhances it with data sharding, elastic scaling, encryption, and other capabilities.
It consists of two products, ShardingSphere-JDBC and ShardingSphere-Proxy, which can be deployed independently and support hybrid deployments for use with each other. The following figure illustrates the hybrid deployment architecture:
**ShardingSphere-JDBC Load Balancing Solution**
ShardingSphere-JDBC is a lightweight Java framework with additional services provided in the JDBC layer. ShardingSphere-JDBC simply adds computational operations before the application performs database operations, and the application process still connects directly to the database via the database driver.
As a result, users don't have to worry about load balancing with ShardingSphere-JDBC, and can focus on how their application is load balanced.
**SharidngSphere-Proxy Load Balancing Solution**
***Deployment Structure***
ShardingSphere-Proxy is a transparent database proxy that provides services to database clients via the database protocol. The following figure shows the for ShardingSphere-Proxy as a standalone deployed process with load balancing on top of it:
***Load Balancing Solution Essentials***
Some of our community contributors have discussed in detail how to build a ShardingSphere-Proxy cluster, and some have asked about the inconsistent behavior of ShardingSphere-Proxy after load balancing:
- How to build a ShardingSphere-Proxy cluster? https://github.com/apache/shardingsphere/discussions/12593
- Requests sent by clients through HA-Proxy do not poll multiple instances of ShardingSphere-Proxy: https://github.com/apache/shardingsphere/issues/20016
The key point of ShardingSphere-Proxy cluster load balancing is that the database protocol itself is designed to be stateful. For example, connection authentication status, transaction status, Prepared Statement, etc.
If the load balancing on top of the ShardingSphere-Proxy is unable to understand the database protocol, the only option is to select a four-tier load balancing proxy ShardingSphere-Proxy cluster. In this case, the state of the database connection between the client and ShardingSphere-Proxy is maintained by a specific Proxy instance.
Because the state of the connection itself is maintained in a specific Proxy instance, four-tier load balancing can only achieve connection-level load balancing. Multiple requests for the same database connection cannot be polled to multiple Proxy instances, i.e. request-level load balancing is not possible.
**Note:** This article does not cover the details of four-tier load balancing and seven-tier load balancing.
***Recommendations for the application layer***
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title = "ShardingSphere & Database Mesh"
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chapter = true
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Some time ago, [SphereEx](https://www.sphere-ex.com/en/), a startup formed by [Apache ShardingSphere](https://shardingsphere.apache.org/)’s core contributor team, officially launched the [Database Mesh 2.0](https://faun.pub/database-mesh-2-0-database-governance-in-a-cloud-native-environment-ac24080349eb) concept and its associated open source solution “Pisanix”, sparking discussion and reflection in the community about ShardingSphere and Database Mesh.
Some community users might be wondering why would you go through the trouble of
starting from scratch in a new field when you’re already part of a successful open source project like Apache ShardingSphere? Another question that can come to mind is whether with the cloud-native trend, ShardingSphere will gradually be incorporated into the Database Mesh concept in the future?
With the introduction of the Database Mesh 2.0 concept, SphereEx has charted a different course for open source development, seemingly in conflict with the already successful ShardingSphere, but in reality, the two complement each other while being interdependent.
This post will focus on the ShardingSphere community’s views of the Database Mesh concept, and the future development path and will walk you through the guiding philosophy of Apache ShardingSphere, Database Plus, and how it’s related to the Database Mesh concept.
## What changed from microservices governance to service governance under cloud-native databases?
Compared with microservices, cloud-native database governance has a different focus in terms of feature selection.
First, databases have status and requests that cannot be routed to peer nodes at will as happens with services, making data sharding important for databases. Since database connections are inherently related to the status, starting or stopping a new database instance often means data synchronization and replication, making the ability to auto-discover instances less important compared to microservices.
If the database is viewed as a microservice, although database access can be governed via Service Mesh, it is still subjected to many limitations. At the same time, databases have some special governance attributes, like communication protocols, resource management, load balancing based on data requests, database, and table splitting, observability, access control, etc., all of which cannot be simply understood and solved just by applying the concept of service, and must rely on database reliability engineering.
Hence the development of Database Mesh. SphereEx put forward the Database Mesh 2.0 concept which focuses on how to achieve the following goals in a cloud-native environment:
1. Reduce the burden on developers, improve development efficiency, and provide a transparent and seamless experience when using the database infrastructure.
2. Implement a governance framework covering database traffic, runtime resources, and stability guarantees in a way that is easier to configure, plug, and program.
3. Provide a standard user interface for typical scenarios in multiple database domains such as heterogeneous data sources, cloud-native databases, and distributed databases.
4. Provide capabilities such as data sharding, load balancing, observability, auditing, etc., which have helped solve some traffic governance problems in database governance.
Recently, when business applications started to be packaged and delivered in containers and to be released numerous times every day to Kubernetes infrastructures in various data centers using CI/CD streams, we couldn’t help but think about how to implement database reliability engineering in cloud environments and finally came up with Database Mesh 2.0.
## The difference between ShardingSphere’s Database Plus and Database Mesh
**First, the philosophy is different. In fact, judging from their principles and concepts, Database Plus and Database Mesh are quite different.**
When it comes to Database Mesh, SphereEx believes that cloud-native database governance has some common ground but also possesses its own uniqueness. The common issues can be solved by standardization and automation, while the unique ones can be solved by providing a flexible scaling mechanism that allows engineers to configure and implement on-demand. This requires a high capacity for programming in order to meet scaling requirements when addressing database governance challenges on the cloud.
As for Database Plus, the Apache ShardingSphere community sees it as a design for a distributed database system that aims to build an overall ecosystem including fragmented heterogeneous databases, providing global scalability and overlay computational capabilities on the premise of maximizing the native computational capabilities of the database. It makes the interaction between applications and databases directed by the standards built by Database Plus, shielding the impact database fragmentations might have on the upper layer business.
With the inevitable trend of cloud-native databases, Database Mesh and Database Plus are bound to have some overlap. In a cloud-native and distributed database scenario, there will be more interactions between ShardingSphere and Database Mesh.
**Second, application scenarios are different too.**
ShardingSphere, guided by the Database Plus concept, is primarily used in distributed database scenarios, while Database Mesh is primarily implemented to guide more specific practices for database reliability in cloud-native scenarios.
Being two different designs in two different domains, Database Plus and Database Mesh both represent innovative ideas in their respective data governance scenarios, leading to the creation of the two open-source solutions ShardingSphere and [Pisanix](https://github.com/database-mesh/pisanix).
Database Mesh 2.0 aspires to provide a database-centered governance framework:
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title = "停滞数年后，ElasticJob 携首个 Apache 版本 3.0.0-alpha 回归"
weight = 13
chapter = true
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在成为 Apache ShardingSphere 的子项目的几个月时间里，ElasticJob 社区在修复与合并了535个 issue 和 pull request 之后，发布了加入 Apache 软件基金会后的第一个正式版本：3.0.0-alpha。
### 背景
ElasticJob（ https://github.com/apache/shardingsphere-elasticjob ）是面向互联网生态和海量任务的分布式调度解决方案，由两个相互独立的子项目 ElasticJob-Lite 和 ElasticJob-Cloud 组成。它诞生于 2015年，当时业界虽然有 QuartZ 等出类拔萃的定时任务框架，但缺乏分布式方面的探索。分布式调度云平台产品的缺失，使得 ElasticJob 从出现伊始便备受关注。它有效地弥补了作业在分布式领域的短板，并且提供了一站式的自动化运维管控端，各个产品使用统一的作业 API，开发者仅需一次开发，即可随意部署。
ElasticJob 在技术选型时，选择站在了巨人的肩膀上而不是重复制造轮子的理念，将定时任务事实标准的 QuartZ 与 分布式协调的利器 ZooKeeper 完美结合，快速而稳定的搭建了全新概念的分布式调度框架。
### ElasticJob调度模型
ElasticJob 的调度模型划分为支持线程级别调度的进程内调度 ElasticJob-Lite，和进程级别调度的ElasticJob-Cloud。
**进程内调度**
ElasticJob-Lite 是面向进程内的线程级调度框架。它能够与 Spring 、Dubbo等 Java 框架配合使用，在作业中可自由使用 Spring 注入的 Bean，如数据源连接池、Dubbo 远程服务等，更加方便地贴合业务开发。
ElasticJob-Lite与业务应用部署在一起，其生命周期与业务应用保持一致，是典型的嵌入式轻量级架构。ElasticJob-Lite 非常适合于资源使用稳定、部署架构简单的普通 Java 应用，可以理解为 Java 开发框架。
ElasticJob-Lite 本身是无中心化架构，无需独立的中心化调度节点，分布式下的每个任务节点均是以自调度的方式适时的调度作业。任务之间只需要一个注册中心来对分布式场景下的任务状态进行协调即可，目前支持 ZooKeeper 作为注册中心。
架构图如下：
通过图中可看出，ElasticJob-Lite 的分布式作业节点通过选举获取主节点，并通过主节点进行分片。分片完毕后，主节点与从节点并无二致，均以自我调度的方式执行任务。
**进程级调度**
ElasticJob-Cloud 拥有进程内调度和进程级别调度两种方式。由于 ElasticJob-Cloud 能够对作业服务器的资源进行控制，因此其作业类型可划分为常驻任务和瞬时任务。常驻任务类似于ElasticJob-Lite，是进程内调度；瞬时任务则完全不同，它充分的利用了资源分配的削峰填谷能力，是进程级的调度，每次任务的会启动全新的进程处理。
ElasticJob-Cloud 需要通过 Mesos 对资源进行控制，并且通过部署在 Mesos Master的调度器进行任务和资源的分配。Cloud采用中心化架构，将调度中心的高可用交由 Mesos管理。
它的架构图如下：
通过图中可看出，ElasticJob-Cloud 除了拥有 Lite 的全部能力之外，还拥有资源分配和任务分发的能力。它将作业的开发、打包、分发、调度、治理、分片等一些列的生命周期完全托管，是真正的作业云调度系统。
相比于 ElasticJob-Lite 的简单易用，ElasticJob-Cloud 对 Mesos 的强依赖增加了系统部署的复杂度，因此更加适合大规模的作业系统。
### 功能列表
ElasticJob 功能主要有弹性调度、资源分配、作业治理和可视化管控。
**弹性调度**
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title = "Kernel Optimizations & Upgrade Guide for Apache ShardingSphere 5.0.0 — The Ideal Database Management Ecosystem"
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# Kernel Optimizations & Upgrade Guide for Apache ShardingSphere 5.0.0 — The Ideal Database Management Ecosystem
Having undergone almost two years of development and optimization, the Apache ShardingSphere 5.0.0 GA version has been recently released.
Compared with the 4.1.1 GA version, the new version’s kernel is greatly improved:
* Kernel optimizations are subject to the pluggable architecture allowing users to combine kernel features as they wish.
* Aiming to improve SQL distributed query capabilities, the Federation Execution Engine is created to satisfy users’ needs in complex business scenarios.
* We also made optimizations at the API level to help users reduce costs.
This article will give you a better understanding of some kernel-related changes we made, and the feature differences between the new and the previous ShardingSphere versions. You will also learn more about these optimizations and how to use 5.0.0 version in a practical scenario case that integrates data sharding, read/write splitting, as well as encryption and decryption.
## Pluggable Architecture Kernel
The North-Star of Apache ShardingSphere’s 5.0.0 GA version. Our mission with the Database Plus concept is to build a standard layer and ecosystem above fragmented databases’ basic services, and provide users with additional features. A unified and standardized database usage specification provides for upper-level applications, and the challenges faced by businesses due to underlying databases fragmentation get minimized as much as possible. The three characteristics of Database Plus are Link, Enhance, and Pluggable.
ShardingSphere can provide users with management services and enhanced features including distributed database, data security, database gateway, and stress testing. The plugin oriented kernel architecture allows for modularity, and users can flexibly extend the features as they need.
The emergence of the Database Plus concept indicates that ShardingSphere has evolved from a middleware into an innovative distributed database ecosystem. Since we set Database Plus as our new direction and there are many extension points in our pluggable system, having a pluggable kernel was a given. The figure below illustrates the new pluggable Kernel:
All of Apache ShardingSphere kernel’s processes (i.e. metadata loader, SQL parser, SQL router, SQL rewriter, and SQL executor & result merger) provide extension points on which ShardingSphere implements default features such as data sharding, read/write splitting, encryption & decryption, shadow database stress testing, and high availability.
We can divide the extension points into two categories: feature-based extension points and technology-based extension points.
Among the kernel processes, technical extension points include the extension points of the SQL Parser Engine and SQL Executor engine. Function extension points are the extension points of the Metadata Loading, SQL Router Engine, SQL Rewriter Engine, and SQL Executor & Result Merger Engine.
The extension points of the SQL Parser Engine are SQL AST Analysis and SQL Tree Traversal. The SQL Parser Engine built on these two extension points can parse and support many database dialects such as MySQL, PostgreSQL, Oracle, SQLServer, openGauss, and SQL92 by default. Users can also write code to parse more database dialects not currently supported by Apache ShardingSphere SQL Parser, or develop SQL Audit and other new features.
How about the SQL Execution Engine extension points? Its extension depends on different execution methods. Currently, Apache ShardingSphere’s SQL Executor has a single-threaded execution engine and a multi-threaded execution engine. The single-threaded execution engine is used to execute transaction statements, while the multi-threaded one applies to scenarios that do not include transactions to improve SQL execution performance. In the future, we will provide more execution engines such as MPP Execution Engine that meets the requirements for SQL execution in distribution scenarios.
Apache ShardingSphere provides function extension points for data sharding, read/write splitting, encryption & decryption, shadow database stress testing, and high availability. These features implement all or part of the function extension points to meet their needs. Meanwhile, within each of them, internal sub-level function extension points such as Sharding Strategy, Distributed ID Generator, and Load Balancing Algorithm are also provided. The following extension points are implemented in the Apache ShardingSphere kernel functions:
* **Data Sharding:** implements all the extension points of the metadata loader, SQL router, SQL rewriter and result merger. For the data sharding function, extension points such as sharding algorithm and distributed ID are provided.
* **Read/write Splitting:** implements the function extension point SQL Router and for the function, the Load Balancing Algorithm extension point is provided.
* **Encryption & Decryption:** implements metadata Loader, SQL Rewriter and Result Merger. Inside, the Encrypt and Decrypt Algorithm extension point is provided.
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title = "openGauss X ShardingSphere: One of the Top Distribution Solutions"
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## About openGauss
openGauss is an open source relational database management system. Since its launch in June 2020, it has made waves the database management vertical. With an increasing number of partners and developers, it’s already reaping the benefits of the significant efforts & resources poured into building a successful database ecosystem.
## Project Background
Facing problems like data volume explosion, and super-high levels of concurrent data processing, openGauss made a choice: to adopt a distributed solution. It started to work on big data storage, throughput improvement for super-high concurrency, improving performance bottlenecks caused by large data amounts in a table, etc.
Apache ShardingSphere facilitates the distributed feature development of openGauss. Such collaboration on the full stack and open source solution helps openGauss make significant breakthroughs.
## The Distributed Solution
openGauss integrates many open source components to optimize its full stack & open source distributed solution for horizontal scaling, distributed transactions, and distributed governance. Its framework is shown in Fig.1
ShardingSphere-Proxy is the open source distributed database solution. ShardingSphere’s well-known features include but are not limited to data sharding, distributed transaction, elastic scaling, and read-write splitting.
HAProxy uses Patroni REST API to identify database master nodes and guarantee high availability, as well as load balancer.
Every high availability node of Patroni supports one master with multiple slaves and uses the Praxos protocols to keep data consistency, so that nodes are allowed to be deployed in the same site or in different sites to ensure multiple sites and centers data security.
In terms of the solution, ShardingSphere-Proxy contributes with its mighty distribution features, Kubernetes helps manage clusters, and prometheus monitors cluster status. This all-star team’s integration make the project a really powerful full stack, open source distribution solution.
## What’s Special About the Project?
* *Great extensibility and elastic scaling*
Horizontal scaling helps realize the linear extension of computing and storage capabilities. The maximum shard count increases to 6400. Database performance improves accordingly and the problem of data volume explosion in single database is effectively managed.
Based on users’ traffic condition, a user can flexibly scale data nodes, and adopt intelligent read-write splitting to realize automatic load balancing of a distributed database.
* *Enhanced enterprise-grade features*
The project provides users with various enterprise-grade features such as distributed data store, Trigger, distributed governance, comprehensive end-to-end encryption, and Workload Diagnosis Report (WDR).
* *Simple deployment*
It may take only a few seconds to deploy the project. Its deployment is simple while also being efficient as it adopts standardized image deployment to keep delivery consistent in different environments. It also uses container deployment as well as resource pooling so that it is less platform dependent.
* *Super-high availability and remote disaster recovery*
The project can effectively manage clusters and facilitate operations & maintenance. It follows the Paxos protocols to ensure data security and strong consistency and provides various features for disaster recovery, whose recovery point object (RPO) is zero. It supports resilient recovery methods for one region, cross-region, and multi-region & multi-center.
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title = "DistSQL Applications: Building a Dynamic Distributed Database"
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## Background
Ever since the release of [ShardingSphere 5.0.0](https://shardingsphere.apache.org/document/5.0.0/en/overview/), [DistSQL](https://shardingsphere.apache.org/document/5.1.0/en/concepts/distsql/) has been providing strong dynamic management capabilities to the ShardingSphere ecosystem.
Thanks to DistSQL, users have been empowered to do the following:
- Create logical databases online.
- Dynamically configure rules (i.e. sharding, data encryption, read/write splitting, database discovery, shadow DB, and global rules).
- Adjust storage resources in real-time.
- Switch transaction types instantly.
- Turn SQL logs on and off at any time.
- Preview the SQL routing results.
At the same time, in the context of increasingly diversified scenarios, more and more DistSQL features are being created and a variety of valuable syntaxes have been gaining popularity among users.
## Overview
This post takes data sharding as an example to illustrate DistSQL’s application scenarios and related sharding methods.
A series of DistSQL statements are concatenated through practical cases, to give you a complete set of practical DistSQL sharding management schemes, which create and maintain distributed databases through dynamic management. The following DistSQL will be used in this example:
## Practical Case
**Required scenarios**
- Create two sharding tables: `t_order` and `t_order_item`.
- For both tables, database shards are carried out with the `user_id` field, and table shards with the `order_id` field.
- The number of shards is 2 databases * 3 tables.
As shown in the figure below:
**Setting up the environment**
1.Prepare a MySQL database instance for access. Create two new databases: `demo_ds_0` and `demo_ds_1`.
> Here we take MySQL as an example, but you can also use PostgreSQL or openGauss databases.
2.Deploy [Apache ShardingSphere-Proxy 5.1.2](https://shardingsphere.apache.org/document/5.1.2/en/overview/) and [Apache ZooKeeper](https://zookeeper.apache.org/). ZooKeeper acts as a governance center and stores ShardingSphere metadata information.
3.Configure `server.yaml` in the `Proxy conf` directory as follows:
```yaml
mode:
type: Cluster
repository:
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title = "Apache ShardingSphere & openGauss: Breaking the Distributed Database Performance Record with 10 Million tpmC"
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Our open source community has cooperated Huawei’s openGauss to build a distributed solution with [Apache ShardingSphere](https://shardingsphere.apache.org/) and [openGauss](https://opengauss.org/en/).
We tested performance together with openGauss on 16 servers for more than one hour. The results were great: our joint solution broke the performance bottleneck of a single machine with a benchmark result of 10 million transactions per minute (tpmC) on average.
## Breaking the 10 Million tpmC Barrier
In this test, the openGauss community ran this TPC-C testing on [BenchmarkSQL](https://www.postgresql.org/message-id/CAGBW59f9q2Y4v-B3D8gje3xUsWz2Z-WaK9wYx4%3DhCY1zN%3D7%2BBQ%40mail.gmail.com) 5.0, which is an open source implementation of the popular TPC/C OLTP database benchmark.
In terms of stand-alone performance, openGauss with ShardingSphere broke the limit of multi-core CPU: two-way 128-Core Huawei Kunpeng reached 1.5 million tpmC, and the memory-optimized table (MOT) engine reached 3.5 million tpmC.
These are great results, but we’re not done. We’ll never stop pushing the boundaries for better database performance — especially in today’s Big Data scenarios and their thirst for top notch database performance.
In this case, the openGauss team used 7 machines to run BenchmarkSQL adapted to [ShardingSphere-JDBC](https://shardingsphere.apache.org/document/current/en/overview/#shardingsphere-jdbc), connected 8 openGauss databases, and deployed [ShardingSphere-Proxy](https://shardingsphere.apache.org/document/current/en/overview/#shardingsphere-jdbc) for data initialization, consistency verification, and other maintenance operations.
Thanks to its database sharding capability, ShardingSphere enabled a total of 8,000 bins of data (over 800 GB) to be distributed across 8 openGauss nodes. Following over 1 hour of test, not only sharding was perfect but the average results also reached over 10 million tpmC, which is the best industry performance at this scale.
## ShardingSphere & openGauss: Building an Ecosystem Cooperation
The Apache ShardingSphere community has been working closely with the openGauss community since 2021.
Faced with the diversification of business scenarios and data volume expansion, the traditional solution that centrally stores data to a single node has since become unable to meet needs in terms of performance, availability, and affordable operation cost.
Database sharding can solve problems of performance, availability, as well as single-point backup and recovery of stand-alone databases — but it also makes distributed architecture more complex.
As the proponent of the Database Plus concept, Apache ShardingSphere aims to build a criterion and ecosystem above heterogeneous databases and enhance the ecosystem with sharding, elastic scaling, encryption features & more. Placed above databases, ShardingSphere focuses on the collaborative way of databases to make reasonable and full use of database compute and storage capabilities.
Currently Apache ShardingSphere has a microkernel plus plugin-oriented architecture model, and on this basis, it continues to improve the capabilities of its kernel and functions to provide increasingly flexible solutions.
Thanks to the design concept of its pluggable architecture, ShardingSphere can support openGauss without additional changes and only needs to increase implementations of the corresponding openGauss database based on the SPI extension points provided by each ShardingSphere module .
Our two communities have collaborated to create a distributed database solution suitable for highly-concurrent Online Transaction Processing (OLTP) scenarios by combining the powerful standalone performance of openGauss with the distributed capabilities provided by the Apache ShardingSphere ecosystem.
## Building an openGauss-based Distributed Database Solution with ShardingSphere
Apache ShardingSphere includes many features such as database sharding, read/write splitting, data encryption, and shadow database. The features can be used independently or in combination.
Currently, ShardingSphere provides users with two access methods, namely ShardingSphere-JDBC and ShardingSphere-Proxy.
ShardingSphere-JDBC can easily and transparently perform operations such as sharding and read/write splitting on databases while meeting high concurrency and low latency needs.
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title = "How South Korea’s Yogiyo Improved Scalability and Performance with Apache ShardingSphere"
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[Yogiyo](https://www.yogiyo.co.kr/mobile/#/) is South Korea’s leading mobile and online food delivery platform that seeks to offer customers powerful and convenient food ordering services. Formerly a subsidiary of [Delivery Hero](https://www.deliveryhero.com/), Yogiyo was acquired by [GS Retail](http://www.gsretail.com/gsretail/ko/company), one of Korea’s top ten listed companies, for $684 million at the end of 2021.
Hello! My name is [Byungchul Kim](https://twitter.com/edwardjyoon), and I work as a backend developer at Yogiyo R&D Centre on Orderyo, an ordering service. In this post, I want to share our experience implementing [Apache ShardingSphere](https://shardingsphere.apache.org/) for Yogiyo’s order service and explain how it helped us to solve technical debt and meet new requirements.
# Order Service DB Structure
Let me start by showing you the structure of Yogiyo’s order service. When order creation, cancellation, or update traffic occurs, the Orderyo application code distributes the write load to four shard clusters based on the `customer_id`. This way, the application only needs the `customer_id` to find the shard cluster it needs to access and perform the operation.
Introducing sharding to the order service has improved the overall response time of `customer_id-based` order functions, eliminated many bottlenecks at the database end by distributing the DB load, and allowed us to scale the DB appropriately for future traffic growth. However, we also realized a technical debt during the past year of implementing and running database sharding for Yogiyo’s order service. The structure of the DB did not reflect the integrated lookup requirements.
Most of the traffic from the order service functions has a `customer_id`, so we use a shard DB. In addition, we have the source data of the order, so there is a requirement for an integrated query without sharding key in the operation-oriented and boss-oriented functions. To support operational queries, we collected data by replicating from shard DBs to a single DB, which we called the Integration DB.
In this structure, as the throughput of the shards increases, the load is placed on the single Integration DB, making it a bottleneck. This means that horizontal DB scaling, one of the advantages of sharding, is not available.
In our tests, the threshold for horizontal scaling was well above our current traffic, but with new requirements, this became an issue that needed to be addressed.
Previously, we only needed to support production-oriented queries, but the new requirement was to support production-oriented functional queries, which are much more traffic-heavy and DB-intensive than traditional production queries.
# How ShardingSphere-Proxy was adopted
To solve this problem, we decided to use [Apache ShardingSphere](https://shardingsphere.apache.org/). It is a project that aims to build a distributed database ecosystem and allows RDBs to be sharded and run as a distributed database environment. We chose to adopt ShardingSphere-Proxy, a database proxy server provided by the Apache ShardingSphere project, to move the queries that used Integration DB to the database proxy server.
One of the reasons I chose Apache ShardingSphere was that it was easy to deploy ShardingSphere-Proxy, and it did not require any changes to the existing DB structure.
After following the tutorial in my local environment, I validated it on a staging server for a period of time and roadtested it to see if there was any performance impact before moving it into production.
# Setting up the local environment
To implement ShardingSphere, we first set up the same environment as the service currently running locally. We set up the following Mysqld settings to increase the p.k. of each table with 1024 in common and different offsets for the shard DB. This way, the tables can have unique p.k. even if they are split into shards.
Configuration for Shard 0
```
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title = "openGauss X ShardingSphere，分布式方案的另一种最佳实践"
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Apache ShardingSphere 持续助力于 openGauss 分布式数据库能力的构建。openGauss 数据库自 2020 年 6 月开源以来，受到了业界的广泛关注，现已吸引众多伙伴、开发者参与其中，共建繁荣的数据库生态。面对如今海量数据，超高并发等诸多场景，openGauss 将目光转向于分布式解决方案，专注于解决海量数据存储、超高并发吞吐、大表瓶颈等众多难题，与 **ShardingSphere** 一起构建全栈开源分布式解决方案，实现 **openGauss** 的又一大突破。
## 分布式解决方案
图1 分布式解决方案整体框图
openGauss 融合了众多开源组件，用以构建集数据水平扩展、分布式事务及治理一体化的全栈开源分布式解决方案，整体框图如图 1 所示。
* 其中 ShardingSphere-Proxy 为开源分布式解决方案，具有分库、分表、分布式事务、弹性伸缩、读写分离等众多能力；
* HAProxy 结合 Patroni 的 REST API，可以始终识别数据库的主节点，保证高可用场景，同时可实现负载均衡；
* 每个 Patroni 高可用节点支持一主多备，每个节点使用 Paxos 协议保证数据的一致性，各个节点可以部署在相同或不同的区域，用以保证多地多中心的数据安全。
本分布式方案运用 ShardingSphere-Proxy 强劲的分布式能力，通过 kubernetes 管理集群，prometheus 监控集群状态，从而构建全栈开源的分布式解决方案。
## 产品优势
1.极致扩展能力，灵活扩缩容
计算与存储能力可通过水平拆分实现线性扩展，最高可达数据 6400 分片，性能随扩展准线性增长，可有效解决单表数据量膨胀问题；结合业务流量，灵活平滑进行数据节点的扩缩容，智能读写分离，实现分布式数据库的自动负载均衡。
2.丰富企业级特性
支持分布式存储过程、触发器，分布式事务，全密态数据加密，WDR 诊断报告，提供丰富的企业级特性。
3.一键部署，屏蔽底层依赖
标准化镜像确保多环境一致性交付，容器化部署，实现物理资源池化，降低对平台的依赖性，简洁高效，实现应用秒级部署。
4.超高可用，实现异地容灾
强有力的集群管理、运维能力，支持同城、异地、多地多中心灵活部署，基于 Paxos 协议保证数据的安全及强一致性，提供 RPO=0 的多种容灾能力。
5.开源开放，构建全栈生态
开源 openGauss 单机及分布式解决方案，鼓励更多伙伴、开发者共同参与其中，共建数据库的繁荣生态，打造全栈开源生态链。
## 应用场景
1.金融系统
基于多数派共识协议 Paxos，提供分布式强一致事务能力，确保分布式环境下数据的强一致能力；多地多中心，提供 RPO=0 的能力，保障金融级可靠。
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title = "ShardingSphere 知识库更新 | 官方样例集助你快速上手"
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Apache ShardingSphere 作为 Apache 顶级项目，是数据库领域最受欢迎的开源项目之一。经过 5 年多的发展，ShardingSphere 已获得超 14K Stars 的关注，270+ 贡献者，建立起了活跃的社区生态。
随着项目的蓬勃发展，版本的不断更迭，Apache ShardingSphere 支持的特性逐渐增多，功能日益强大，配置规则也在不断优化。为了帮助用户更好地理解各项特性和配置规则，方便用户快速测试并运行相关功能组件，找到最佳实现，`shardingsphere-example` 项目应运而生。
`shardingsphere-example` 是一个独立的 Maven 项目，位于 `Apache ShardingSphere` 项目的 examples 目录下。项目地址：
https://github.com/apache/shardingsphere/tree/master/examples
**江龙滔**
SphereEx 中间件研发工程师，Apache ShardingSphere contributor。目前专注于 ShardingSphere 数据库中间件研发及开源社区建设。
**侯阳**
SphereEx 中间件研发工程师，目前从事 ShardingSphere 数据库中间件研发，热爱开源，希望同大家一起建设更好的社区。
## 模块详解
`shardingsphere-example` 项目包含多个模块，将为用户带来水平拆分、读写分离、分布式治理、分布式事务、数据加密、强制路由、影子库等功能的使用及配置样例，覆盖 Java API、YAML、Spring Boot、Spring Namespace 等多种业务常用的接入形态。除了 `ShardingSphere-JDBC`，`shardingsphere-example` 中还增加了 `ShardingSphere-Proxy` 和 `ShardingSphere-Parser` 的使用案例。
所有涉及到 `Apache ShardingSphere `的功能特性、接入场景以及各种灵活的配置方式，都可以在官方的 repo 里找到样例，方便用户查询和参考。下表展示了 `shardingsphere-example` 的模块分布情况：
~~~
shardingsphere-example
├── example-core
│ ├── config-utility
│ ├── example-api
│ ├── example-raw-jdbc
│ ├── example-spring-jpa
│ └── example-spring-mybatis
├── shardingsphere-jdbc-example
│ ├── sharding-example
│ │ ├── sharding-raw-jdbc-example
│ │ ├── sharding-spring-boot-jpa-example
│ │ ├── sharding-spring-boot-mybatis-example
│ │ ├── sharding-spring-namespace-jpa-example
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== File: docs/blog/content/material/2022_03_29_CITIC_Industrial_Cloud_Apache_ShardingSphere_Enterprise_Applications.en.md
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title = "CITIC Industrial Cloud — Apache ShardingSphere Enterprise Applications"
weight = 46
chapter = true
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_To further understand application scenarios, and enterprises’ needs, and improve dev teams’ understanding of Apache ShardingSphere, our community launched the “Enterprise Visits” series._
On February 28, the Apache ShardingSphere core development team visited CITIC Industrial Cloud Co., Ltd at the invitation of the company. During the meetup, Zhang Liang, Apache ShardingSphere PMC Chair and SphereEx Founder provided details on open source ecosystem building, and ShardingSphere production scenario-oriented solutions.
[CITIC Group](https://www.citic.com/en/#Businesses) is China’s largest conglomerate. It is engaged in a wide variety of businesses, from property development to heavy industry to resources, though its primary focus is the financial sector, including banking and securities.
[CITIC Industrial Cloud Co., Ltd](https://www.citictel-cpc.com/en-eu/product-category/cloud-computing), fully owned by CITIC Group, has developed an open service platform providing industrial internet applications and services in multiple fields such as IoT, smart cities, smart water services — with a desire to promote the digital transformation of traditional industries.
Now, CITIC Industrial Cloud is exploring how to innovate with existing database systems, to support the innovative development of multiple industries.
As one of the most prominent open source middleware projects, with its ever-expanding ecosystem,[Apache ShardingSphere](https://shardingsphere.apache.org/) can meet some of CITIC Industrial Cloud’s technology needs in its development roadmap.
## Ensuring Data Consistency in Data Migration
Enterprises are challenged by ever expanding data related issues. Luckily, Scale-out can solve this problem.
Apache ShardingSphere allows online elastic scaling through its [Scaling tool ](https://shardingsphere.apache.org/document/current/en/features/migration/)and provides multiple built-in data consistency verification algorithms, to ensure the consistency between data source and data on the client-side.
[CRC32](https://crc32.online/) is used by default to strike a balance between speed and consistency; while the verification algorithm supports user-defined SPI.
Since the time data migration takes is proportional to data volumes, to ensure data consistency, a downtime window is required to make the log level. Data will be verified through Scaling, at the business layer, and database layer.
Apache ShardingSphere can divide data migration into multiple sessions and execute them at the same time, merge modification operations of the same record, and execute a line command after configuration to stop write into the primary database, so the database is read-only.
Additionally, SQL execution is suspended during the read-only period since the data is globally consistent when write is disabled. Accordingly, the impact on system usability will be reduced when performing database switches.
## JDBC and Proxy are Designed for Different Core Users
Apache ShardingSphere now supports access through JDBC and Proxy together with Mesh in the cloud (TODO). Users can choose the product that can best suit their needs to perform operations such as data sharding, read/write splitting, and data migration on original clusters.
[ShardingSphere-JDBC](https://shardingsphere.apache.org/document/current/en/overview/#shardingsphere-jdbc) is designed for Java developers. It’s positioned as a lightweight Java framework, or as an enhanced JDBC driver with higher performance. If the performance loss is between 2% and 7%, and you want to optimize the performance, ShardingSphere-JDBC can help reduce the loss to less than 0.1%. Developers can directly access databases through the JDBC client and the service is provided in `.jar`, which means no extra deployment or dependency is needed.
[ShardingSphere-Proxy](https://shardingsphere.apache.org/document/current/en/overview/#shardingsphere-proxy) is a database management proxy designed for operation and maintenance personnel. Generally, when users need to access databases through Proxy, the network connection may lead to a 30% to 70% performance loss. Therefore, the performance of ShardingSphere-JDBC is much better than that of ShardingSphere-Proxy.
However, the plugin-oriented architecture of ShardingSphere provides dozens of extension points based on SPIs. On the basis of these extension points, ShardingSphere by default implements functions such as data sharding, read/write splitting, data encryption, shadow database stress testing and high availability, and allows developers to extend these functions at will.
ShardingSphere-JDBC adopts a decentralized architecture, applicable to high-performance, lightweight OLTP Java applications.
ShardingSphere-Proxy provides static access and supports all languages, suitable for OLAP applications and sharding database management and operations.
While JDBC can boost development efficiency, Proxy can deliver better O&M performance. Through [DistSQL](https://medium.com/nerd-for-tech/intro-to-distsql-an-open-source-more-powerful-sql-bada4099211), you can leverage Apache ShardingSphere as if you were using a database natively. This helps improve the development capabilities of Ops teams and enterprises’ data management capabilities.
Thanks to the combination of ShardingSphere-JDBC and ShardingSphere-Proxy, while adopting the same sharding strategy in one registry center, ShardingSphere can create an application system suitable for all scenarios. This database gateway-like model allows users to manage all underlying database clusters through Proxy and observe distributed cluster status through SQL, and it can, therefore, enable maintainers and architects to adjust the system architecture to the one that can perfectly meet their business requirements and facilitate business operations.
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== File: docs/blog/content/material/2022_03_23_Apache_ShardingSphere_Proxy_Performance_with_PostgreSQL_is_Improved_26.8%_with_Version_5.1.0.en.md
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title = "Apache ShardingSphere -Proxy Performance with PostgreSQL is Improved 26.8% with Version 5.1.0"
weight = 43
chapter = true
+++
Increasing Apache ShardingSphere adoption across various industries, has allowed our community to receive valuable feedback for our latest release.
Our team has made numerous performance optimizations to the ShardingSphere Kernel, interface and etc. since the release of Version 5.0.0. This article introduces some of the performance optimizations at the code level, and showcases the optimized results of ShardingSphere-Proxy TPC-C benchmark tests.
## Optimizations
**Correct the Use of Optional**
java.util.Optional, introduced by Java 8, it makes the code cleaner. For example, it can avoid methods returningnull values. Optionalis commonly used in two situations:
```java
public T orElse(T other) {
return value != null ? value : other;
}
public T orElseGet(Supplier<? extends T> other) {
return value != null ? value : other.get();
}
```
In ShardingSphere item `org.apache.shardingsphere.infra.binder.segment.select.orderby.engine.OrderByContextEngine`, an Optional code is used as:
```java
Optional<OrderByContext> result = // Omit codes...
return result.orElse(getDefaultOrderByContextWithoutOrderBy(groupByContext));
```
In the `orElse` statement above, the `orElse` methods will be called even if the result isn’t null. If the `orElse` method involves modification operations, accidents might occur. In the case of method calls, the statement should be adjusted accordingly:
```java
Optional<OrderByContext> result = // Omit codes...
return result.orElseGet(() -> getDefaultOrderByContextWithoutOrderBy(groupByContext));
```
Lambda is used to provide a `Supplier` to `orElseGet`. This way, `theorElseGet` method will only be called when the result is null.
> Relevant PR：https://github.com/apache/shardingsphere/pull/11459/files
**Avoid Frequent Concurrent calls for Java 8 ConcurrentHashMap’s computeIfAbsent**
`java.util.concurrent.ConcurrentHashMap` is commonly used in concurrent situations. Compared to `java.util.Hashtable`, which modifies all operations with synchronized, `ConcurrentHashMap` can provide better performance while ensuring thread security.
However, in the Java 8 implementation even if the key exists, the method `computeIfAbsent` of `ConcurrentHashMap` still retrieves the value in the `synchronized` code snippet. Frequent calls of `computeIfAbsent` by the same key will greatly compromise concurrent performance.
> Reference：https://bugs.openjdk.java.net/browse/JDK-8161372
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title = "AWS Summit China 2023: ShardingSphere Highlights and Data Security Insights"
weight = 102
chapter = true
+++
The[ AWS Summit China 2023](https://summit.awsevents.cn/2023/index.html?source=LrHrFa/1IbfS4OOHbifTk+9EyneGcF+bqYJRUbibGWY=), held in Shanghai from June 27th to June 28th, brought together global leaders in the cloud computing sector. This two-day event featured over 100 leading companies and organizations, along with industry experts who delivered insightful speeches on reliable technology and services.
From emerging technologies like generative AI to discussions on cloud-native technology and enterprise digitalization, the summit provided a platform for knowledge sharing and collaboration.
Among the participants, the[ ShardingSphere](https://shardingsphere.apache.org/) open-source community and its PMC and[ SphereEx](https://www.sphere-ex.com/) co-founder and CTO[ Trista Pan](https://github.com/tristaZero), made their mark in the Developer Lounge, engaging with enthusiasts and sharing experiences. In this blog post, we will delve into the DevLounge's roundtable discussion on unlocking data value with open source and explore ShardingSphere's approach to data security.
  
## Roundtable Discussion: How Developers Can Unlock Data Value with Open Source
### Data's Role in the Modern Era
In today's data-driven world, businesses and individuals recognize the critical role that data plays. The growth of big data and artificial intelligence has presented numerous opportunities across various application scenarios. Therefore, developers are eager to harness the power of open-source analysis to unlock the full value of data. During the panel discussion, Trista Pan shared valuable insights on this topic:
### Running a Developer Community
Trista emphasized the importance of establishing a developer community that attracts and engages participants. For the ShardingSphere open-source community, the focus lies in transforming any database into a distributed database system. Trista highlighted the need to convey the value the community brings to developers, as this is crucial in attracting more contributors. Additionally, she stressed the significance of connecting with developers and aligning their efforts with the community's goals.
### Open Source's Impact on Data Value Mining
Trista discussed the evolving perception of open source and its value for developers and society. Besides enhancing technical skills, participating in open-source projects enables developers to build a network, explore new technologies, and stay up-to-date. Open source also eliminates the need to reinvent the wheel, allowing individuals to contribute and become part of a collaborative community.
### Considerations in Mining Data Value with Open Source
Addressing the challenges in data value mining, Trista highlighted data security as a significant concern. With the rise of big data and artificial intelligence, ensuring data security has become paramount. ShardingSphere acknowledges user and customer expectations regarding data security and is actively working on enhancing it across various application scenarios.
<figure class="third">
<img src="https://shardingsphere.apache.org/blog/img/AWS_Summit_China4.jpg" width="600" high="816.29">
<img src="https://shardingsphere.apache.org/blog/img/AWS_Summit_China5.jpg" width="600" high="369">
<img src="https://shardingsphere.apache.org/blog/img/AWS_Summit_China6.jpg" width="600" high="369">
</figure>
## ShardingSphere: Providing Robust Data Security Features
* **Leveraging the Strength of Open Source:** ShardingSphere utilizes the strength and transparency of open source to tackle complex data security scenarios. Its features encompass encrypted data storage, data masking, and global authority control. By leveraging open-source capabilities, ShardingSphere offers seamless data security across diverse platforms and heterogeneous environments without the need for extensive code modifications.
* **Powerful Data Security Features:** ShardingSphere provides a range of powerful features to ensure unparalleled protection in data security scenarios. These features include online data encryption, data masking, customizable algorithms, and robust key management. By employing these features, organizations can fortify their data security infrastructure and protect sensitive information.
* **Seamless Cross-platform Data Security:** Experience seamless data security across diverse platforms and heterogeneous environments without the need for code modifications
## ShardingSphere Open Source Community Gains Momentum
### Engagement at the AWS Summit China
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== File: docs/blog/content/material/2022_07_06_ShardingSphere-JDBC_Driver_Released_A_JDBC_Driver_That_Requires_No_Code_Modifications.en.md
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title = "ShardingSphere-JDBC Driver Released: A JDBC Driver That Requires No Code Modifications"
weight = 65
chapter = true
+++
## Background
`ShardingSphereDataSourceFactory` is the most basic user API of [Apache ShardingSphere
JDBC](https://shardingsphere.apache.org/document/current/en/overview/#shardingsphere-jdbc), and it is used to transform users' rule configuration objects and generate the standard implementation of the `DataSource`.
It also provides `YamlShardingSphereDataSourceFactory` for `YAML` configuration, as well as the custom namespace for the Spring and `Spring Boot Starter`.
`DataSource` is a standard Java JDBC interface. Engineers can use it to further create JDBC-compliant `Connection`, `Statement`, `PreparedStatement`, `ResultSet`, and other familiar standard objects. It is fully consistent with the implementation of the JDBC interface so there's no difference when engineers use Apache ShardingSphere-JDBC or use a native JDBC. Additionally, it can also transparently interface with various [ORM](https://stackoverflow.com/questions/1279613/what-is-an-orm-how-does-it-work-and-how-should-i-use-one) frameworks.
## Pain Points
Although the standard JDBC interface can be fully adapted during the development process, creating a `DataSource` through the ShardingSphere API can change the way the engineer originally load the database driver.
Although only a small part (one line) of startup code needs to be modified, it actually adds additional development costs for systems that would like to migrate smoothly to ShardingSphere. And for the system that cannot master the source code (such as an external sourcing system), it is truly difficult to use ShardingSphere.
[ShardingSphere](https://shardingsphere.apache.org/) has always lacked a JDBC-driven implementation largely due to its design. Java-configured ShardingSphere-JDBC can achieve programmable flexibility, but JDBC’s Driver interface does not provide much room for additional configuration.
The configuration flexibility of ShardingSphere will be greatly restricted through sole `URL` and `Properties`. Although `YAML` configuration can be better adapted to Driver’s `URL` and is more readable, it belongs to the category of static configuration and is obviously less flexible than dynamic configuration.
Therefore, ShardingSphere-JDBC uses a similar strategy of a database connection pool, bypassing the limitations of the JDBC standard interface and directly exposing the `DataSource` to the user.
However, it is almost an unbreakable barrier not to change a single line of code, which is the biggest pain point while improving ShardingSphere-JDBC’s ease of use.
## Opportunity
As [ShardingSphere-Proxy](https://shardingsphere.apache.org/document/current/en/quick-start/shardingsphere-proxy-quick-start/) is developed ( the ShardingSphere client), its two major ecosystem features emerged, namely hybrid deployment and [DistSQL](https://shardingsphere.apache.org/document/5.1.0/en/concepts/distsql/).
The lightweight and high-performance features of ShardingSphere-JDBC make it more suitable for application-oriented [CRU](https://en.wikipedia.org/wiki/Create,_read,_update_and_delete)D operations. The ease of use and compatibility of ShardingSphere-Proxy makes it more suitable for DDL operations oriented toward database management and control. The two clients can be used together to complement each other, to provide a new and more complete architecture solution.
With both programming and SQL capabilities, DistSQL strikes the perfect balance between flexibility and ease of use. In an architectural model where the configuration properties of ShardingSphere-JDBC are significantly reduced, it is the best solution to use JDBC URL to connect to the governance center and DistSQL for the configuration operations.
DistSQL ensures security which Java and YAML are short of, and it naturally supports permission control and SQL auditing, and other high-order capabilities. With DistSQL, DBAs (database administrators) can operate and maintain database clusters with great ease.
## Implementation
After the preconditions were met, ShardingSphere-JDBC version 5.1.2 took the opportunity to provide a JDBC driver that can be used only through configuration changes, without requiring engineers to modify the code.
**Driver class name**
`org.apache.shardingsphere.driver.ShardingSphereDriver`
**
URL configuration description**
- Prefix: `jdbc:shardingsphere:`
- Config files: `xxx.yaml`, its format is consistent with that of `YAML` configuration.
- Load rule of config files:
If there’s no prefix, the configuration file is loaded from an absolute path (AP).
`classpath`: the prefix indicates loading the configuration file from the classpath.
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== File: docs/blog/content/material/Jul_26_An_introduction_to_DistSQL.en.md
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title = "An Introduction to DistSQL"
weight = 16
chapter = true
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We believe that if you’re reading this then you’re familiar with SQL (Structured Query Language), the data query and programming language. It’s also used as the standard language of relational database management systems for accessing data, querying, updating and managing relational database systems.
Similar to standard SQL, DistSQL, or Distributed SQL, is a built-in SQL language unique to ShardingSphere that provides incremental functional capabilities beyond standard SQL. Leveraging ShardingSphere's powerful SQL parsing engine, DistSQL provides a syntax structure and syntax validation system like that of standard SQL - making DistSQL more flexible while maintaining regularity.
ShardingSphere's Database Plus concept aims at creating an Open-Source distributed database system that is both functional and relevant to the actual database business. DistSQL is built on top of the traditional database to provide SQL capabilities that are both standards-compliant and feature ShardingSphere's functionality to better energize the traditional database.
## Original Design Intention of DistSQL
Over its rapid development years, ShardingSphere has become unique in the database middleware space as the kernel has gradually stabilized, and the core functionality has continuously been honed. As an Open-Source leader in Asia and China in particular, ShardingSphere did not stop in its exploration of a distributed database ecosystem.
Redefining the boundary between middleware and database and allowing developers to leverage Apache ShardingSphere as if they were using a database natively is DistSQL's design goal. It is also an integral part of ShardingSphere's ability to transform from a developer-oriented framework and middleware to an operations-oriented infrastructure product.
## DistSQL Syntax System
DistSQL has been designed from the outset to be standards-oriented, considering the habits of both database developers and operators. The syntax of DistSQL is based on the standard SQL language, considering readability and ease of use, while retaining the maximum amount of ShardingSphere's own features and providing the highest possible number of customization options for users to cope with different business scenarios. Developers familiar with SQL and ShardingSphere can get started quickly.
While standard SQL provides different types of syntaxes such as DQL, DDL, DML, DCL etc. to define different functional SQL statements, DistSQL defines a syntax system of its own as well.
In ShardingSphere, the DistSQL syntax is currently divided into three main types: RDL, RQL and RAL.
RDL (Resource & Rule Definition Language): Resource rule definition language for creating, modifying and deleting resources and rules.
RQL (Resource & Rule Query Language): resource rule query language for querying and presenting resources and rules.
RAL (Resource & Rule Administration Language): resource rule administration language for incremental functional operations such as Hint, transaction type switching, and query of sharding execution plan.
DistSQL's syntax builds a bridge for ShardingSphere to move towards a distributed database, and while it is still being improved as more ideas are implemented, DistSQL is bound to get more powerful. Developers who are interested are welcome to join ShardingSphere and contribute ideas and code to DistSQL.
For more detailed syntax rules, please refer to the official documentation: [https://[shardingsphere.apache.org/document/current/cn/features/dist-sql/syntax/]()]()
For the project’s community, please refer to the official Slack channel:
[https://join.slack.com/t/apacheshardingsphere/shared_invite/zt-sbdde7ie-SjDqo9~I4rYcR18bq0SYTg]()
## DistSQL in Practice
Having understood the design concept and syntax system of DistSQL, let’s take data sharding as an example to demonstrate how to build a data sharding service based on ShardingSphere.
### Environment preparation:
1. Start MySQL Services
2. Create a MySQL database for sharding
3. Start the Zookeeper service
4. Turn on the distributed governance configuration and start ShardingSphere-Proxy [(https://shardingsphere.apache.org/document/current/cn/quick-start/shardingsphere-proxy-quick-start/)]()
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title = "Managing Metadata in Sharded Database Environments with ShardingSphere's Built-in Metadata Function"
weight = 93
chapter = true
+++
Apache ShardingSphere is a popular open-source data management platform that supports sharding, encryption, read/write splitting, transactions, and high availability. The metadata of ShardingSphere comprises of rules, data sources, and table structures, which are crucial for the platform's proper functioning. ShardingSphere uses the governance center's capabilities, such as ZooKeeper and etcd, for the sharing and modification of cluster configurations to achieve the horizontal expansion of computing nodes.
In this blog post, we will focus on understanding the metadata structure of Apache ShardingSphere. We will explore the three-layer metadata structure of ShardingSphere in ZooKeeper, which includes the metadata information, built-in metadata database, and simulated MySQL database.
# Metadata Structure:
To better understand the metadata structure, we can start by examining the cluster mode of ShardingSphere-Proxy. The metadata structure of ShardingSphere in ZooKeeper has a three-layer hierarchy. The first layer is the governance_ds, which contains the metadata information, built-in metadata database, and simulated MySQL database.
```Plaintext
governance_ds
--metadata (metadata information)
----sharding_db (logical database name)
------active_version (currently active version)
------versions
--------0
----------data_sources (underlying database information)
----------rules (rules of logical database, such as sharding, encryption, etc.)
------schemas (table and view information)
--------sharding_db
----------tables
------------t_order
------------t_single
----------views
----shardingsphere (built-in metadata database)
------schemas
--------shardingsphere
----------tables
------------sharding_table_statics (sharding statistics table)
------------cluster_information （version information）
----performance_schema (simulated MySQL database)
------schemas
--------performance_schema
----------tables
------------accounts
----information_schema (simulated MySQL database)
------schemas
--------information_schema
----------tables
------------tables
------------schemata
------------columns
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== File: docs/blog/content/material/Mar_23_DistSQL_Cluster_Governance_Capabilities.en.md
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title = "Featured update! DISTSQL cluster governance capacity detailed explanation"
weight = 37
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# Featured update! DISTSQL cluster governance capacity detailed explanation
## Background
Since the release of Apache ShardingSphere 5.0.0-Beta, DistSQL has quickly come to the forefront of users' minds and has become increasingly popular among developers and operators for its unique "dynamic, no restart" advantage and beautiful syntax that is close to standard SQL.
With the 5.0.0 and 5.1.0 iterations, the ShardingSphere community has once again added a large amount of syntax to DistSQL, bringing many useful features.
**In this article, we will explain the latest features of DistSQL from a "cluster governance" perspective.**
## ShardingSphere Cluster
In a typical cluster consisting of ShardingSphere-Proxy, it typically contains multiple Proxies, multiple storage nodes, as shown in the figure 1.
> For communication purposes, in ShardingSphere, we refer to the Proxy as Compute Node and the distributed database resources managed by the Proxy (e.g., ds_0, ds_1), as resource or storage nodes.
In this case, multiple Proxies are connected to the same registry, share configuration and rules, and are aware of each other's online status. At the same time, these Proxies also share the underlying storage node, and they can simultaneously read and write to the storage node.
At this point, a user's application connected to any of the Proxies can perform equivalent operations.
With this cluster architecture, users can quickly scale the Proxy horizontally when computing resources are insufficient, and can also reduce the risk of single point of failure and improve system availability to a certain extent.
> Mechanisms for load balancing between applications and compute nodes can also be added, and are not extended here.
## Proxy Governance
Compute node governance for Cluster mode, more information about the mode can be found in the
"[ShardingSphere Mode Operational Mode Explained](https://mp.weixin.qq.com/s?__biz=MzUzNjgwODk2Mw==&mid=2247486083&idx=1&sn=29d58f9a41194f30c6c1c4ea272692f5&chksm=faf1d1efcd8658f9a0c669cc82d794204a61103502c702f19f5b029ba47f578be88a7d0c82b1&scene=21&cur_album_id=2127063591433371652#wechat_redirect)".
### Cluster Preparation
Here is an example of a single machine simulating three Proxies, using the following schema configuration.
```
mode:
type: Cluster
repository:
type: ZooKeeper
props:
namespace: governance_ds
server-lists: localhost:2181
retryIntervalMilliseconds: 500
timeToLiveSeconds: 60
maxRetries: 3
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title = "Monitoring SQL Performance with ShardingSphere-Agent, Prometheus and Grafana"
weight = 95
chapter = true
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As business systems become more complex, users are increasingly concerned about system performance and the need to monitor relevant metrics during system operation. This includes obtaining real-time monitoring metric information, monitoring and warning of relevant issues, and combining business analysis to locate anomalies.
Application Performance Monitoring (APM) monitors and diagnoses system performance by collecting, storing, and analyzing system data that can be observed. Its main functions include performance metric monitoring, call chain analysis, and application topology maps. Generally, system operation status performance data is obtained through Metrics, Tracing, and Logging.
This article will explain how ShardingSphere-Agent collects ShardingSphere-JDBC monitoring metrics and how to display them visually.
# Implementation
There are two methods that are generally considered when collecting metrics: manually tracking events in business methods and using Java Agent for non-intrusive event tracking. Method one has too much business intrusion and is not a good choice for including non-business logic in the business. Therefore, it is generally a better choice to use Java Agent for non-intrusive event tracking.
Depending on the Java Agent, modifying the bytecode of the target for data collection is also called probe technology. ShardingSphere-Agent uses Java Agent to add an agent proxy when JVM starts and use Byte Buddy to modify the target bytecode to implant data collection logic.
# Module Introduction
`shardingsphere-agent-api`: Defines enhanced interfaces, plugin configurations, and more.
`shardingsphere-agent-core`: Defines plugin loading processes and agent entry.
`shardingsphere-agent-plugins`: Defines plugins.
This article mainly introduces the indicator plugin under the `shardingsphere-agent-plugins` module. Under this module, the indicator plugin mainly has the following modules.
- `shardingsphere-agent-metrics-core`: Indicator collection definition module
- `shardingsphere-agent-metrics-prometheus`: Indicator data exposure module
# Event Tracking Setting
Meaningful classes should be considered for tracking. For example, in ShardingSphere-JDBC, the most commonly used and important are the `ShardingSphereStatement` and `ShardingSpherePreparedStatement`. We often use the execute, `executeQuery`, and `executeUpdate` methods of these two classes to run SQL, so these methods are also the most important places we should pay attention to. The relevant metrics can be collected through these methods too.
For example, the execution time counts of these methods can be tracked. The existing indicator `jdbc_statement_execute_latency_millis logs the execute`, `executeQuery`, and `executeUpdate` methods of `ShardingSphereStatement` and `ShardingSpherePreparedStatement` and tracks the execution time of methods.
# Metrics
## ShardingSphere-JDBC Monitoring Metrics
The monitoring metrics collected by ShardingSphere-Agent comply with the **OpenMetrics** standard. The following table describes the metrics:
These metrics can be used to monitor the performance of ShardingSphere-JDBC and identify any issues that may arise. The metrics are collected and displayed visually using the indicator plugin under the shardingsphere-agent-plugins module.
## JVM Monitoring Metrics
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title = "Apache ShardingSphere 5.0.0 New Features: Middleware to Ecosystem Evolution"
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# Apache ShardingSphere 5.0.0 New Features: Middleware to Ecosystem Evolution
Having undergone nearly two years of development and polishing with versions 5.0.0-Alpha and 5.0.0-Beta, Apache ShardingSphere 5.0.0 GA version will finally be available in November.
Coincidentally November 10th marks the 3rd anniversary of ShardingSphere’s entry into the Apache Software Foundation. The ShardingSphere core team has been working hard together with the community to meet this special deadline and release the 5.0.0 GA version to celebrate the third anniversary with the broader community, and entire distributed database and security ecosystem.
Since the early development stages of version 5.0.0, ShardingSphere started to move away from industry positioning as a simple distributed database middleware solution. The development North-Star has been the Database Plus concept, which will allow a new positioning for 5.0.0 and development outlook for future versions.
ShardingSphere recreates the distributed pluggable system, connecting actual user implementation scenarios and contributing valuable solutions to the community and the database industry.
Database Plus sets out to build a standard layer and an ecosystem layer above the fragmented database’s basic services. A unified and standardized database usage specification is provided for upper-level applications, and the challenges faced by businesses due underlying databases fragmentation is minimized as much as possible. To link databases and applications, we use traffic and data rendering and parsing, and provide users with enhanced core features such as distributed database, data security, database gateway and stress testing. With the support of this concept, version 5.0.0 GA brings the following upgrades and optimizations:
## Architecture Layer
### Complete the pluggable kernel architecture of Database Plus
**Foundation Layer:** Provide a variety of access terminals and access forms to flexibly meet the needs of users in different scenarios.
**Plugin Layer:** As a pluggable core architecture, it provides infrastructure support.
**Function Layer:** Provide a variety of functional plug-ins that meet the needs of users, allowing users a high degree of flexibility in plug-in choice and combination.
**Product Layer:** End users are provided with industry-oriented and specific scenario-oriented standard product solutions.
_Multi-Access terminal mixed mode production available_
ShardingSphere JDBC and ShardingSphere Proxy have been polished and tested for two years and are now available in production. Many community users provided relevant production community cases, and production feasibility has been verified.
Additionally, SphereEx leverages the ShardingSphere ecosystem and will provide the ShardingSphere Sidecar access terminal POC Version for Cloud Native based on the ShardingSphere ecosystem at the beginning of 2022 (to do).
With the shared core architecture and different ShardingSphere adapters, users can also choose hybrid adapter deployment if their production environment requires them to do so (shown in the figure below).
_Standardized cluster management with DistSQL_
Apache ShardingSphere first proposed the unique SQL dialect of DistSQL (distributed SQL) to connect all elements of the ShardingSphere ecosystem together. As the standard interaction language of the ShardingSphere distributed database ecosystem, DistSQL allows users to use one SQL command to create, modify or delete a distributed database table, or to encrypt or decrypt it. DistSQL also supports distributed scheduling management.
_Significantly improved distributed governance capabilities_
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title = "DistSQL：像数据库一样使用 Apache ShardingSphere"
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Apache ShardingSphere 5.0.0-beta 深度解析的第一篇文章和大家一起重温了 ShardingSphere 的内核原理，并详细阐述了此版本在内核层面，特别是 SQL 能力方面的优化和提升。强大稳定的内核是 ShardingSphere 持续发展的基础，与此同时，ShardingSphere 在研发分布式数据库生态特性上也在努力摸索。本次 5.0.0-beta 版本发布的 DistSQL，用于搭配整个 ShardingSphere 分布式数据库体系，在提供更标准化的分布式数据库管理方式的同时，兼具灵活、便捷和优雅的特性。
本文将带领大家全面认识 DistSQL，并结合实战案例展示如何使用 DistSQL 一键管理 ShardingSphere 分布式数据库服务。
**作者｜孟浩然**
SphereEx 高级 Java 工程师
Apache ShardingSphere Committer
曾就职于京东科技，负责数据库产品研发，热爱开源，关注数据库生态，目前专注于 ShardingSphere 数据库中间件开发以及开源社区建设。
## 初识 DistSQL
相信大家对 SQL（Structured Query Language）都不陌生，SQL 是一种数据查询和程序设计语言，同时作为关系数据库管理系统的标准语言，用于存取数据以及查询、更新和管理关系数据库系统。
和标准 SQL 类似，DistSQL（Distributed SQL），即分布式 SQL，是 ShardingSphere 特有的一种内置 SQL 语言，能够提供标准 SQL 之外的增量功能操作能力。借助于 ShardingSphere 强大的 SQL 解析引擎，DistSQL 提供了类似于标准 SQL 的语法结构和语法校验体系，在保证规范化的同时，也让 DistSQL 更加灵活。
ShardingSphere 提出的 Database Plus 理念，旨在打造兼具数据库且贴合实际业务需求的开源分布式数据库体系，而 DistSQL 正是在传统数据库上层构建，提供既贴合标准又拥有 ShardingSphere 功能特色的 SQL 能力，能更好的为传统数据库赋能。
## DistSQL 设计初衷
ShardingSphere 快速发展的几年来，随着内核的逐步稳定，以及对核心功能的持续打磨，在数据库中间件领域，已然独树一帜。作为国内开源的佼佼者， ShardingSphere 在分布式数据库生态的探索中并没有停止脚步，打破中间件和数据库之间的界限，让开发者像使用数据库一样使用 Apache ShardingSphere，是 DistSQL 的设计目标，也是 ShardingSphere 从面向开发人员的框架和中间件转变为面向运维人员的基础设施产品不可或缺的能力。
## DistSQL 语法体系
DistSQL 在设计之初，就以面向标准为目标，充分考虑数据库开发和运维人员的使用习惯，所以 DistSQL 的语法全面借鉴标准 SQL 语言，兼顾可读性和易用性的同时，最大程度保留 ShardingSphere 自身的特性，并为使用者提供最宽泛的自定义边界，以应对不同的业务场景。对于熟悉 SQL 和 ShardingSphere 的开发者，可以快速入手。
标准的 SQL 提供了如 DQL、DDL、DML、DCL 等不同类型的语法，用于定义不同功能的 SQL 语句，DistSQL 也定义了一套自己的语法体系。
在 ShardingSphere 中， DistSQL 的语法目前主要划分为 RDL、RQL 和 RAL 三种类型：
- RDL（Resource & Rule Definition Language）：资源规则定义语言，用于资源和规则的创建、修改和删除；
- RQL（Resource & Rule Query Language）：资源规则查询语言，用于资源和规则的查询和展现；
- RAL（Resource & Rule Administration Language）：资源规则管理语言，用于 Hint、事务类型切换、分片执行计划查询等增量功能操作。
DistSQL 的语法体系为 ShardingSphere 迈向分布式数据库搭起了桥梁，目前还在持续完善中，随着更多的想法被实现，DistSQL 势必会越来越强大。也欢迎对此感兴趣的开发者加入 ShardingSphere，为 DistSQL 提供想法，贡献代码。
了解更详细的语法规则，可参考官方文档：[https://shardingsphere.apache.org/document/current/cn/features/dist-sql/syntax/
](https://shardingsphere.apache.org/document/current/cn/features/dist-sql/syntax/)
## DistSQL 实战
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title = "Congratulations on graduation of Apache ShardingSphere as a Top-Level Project!"
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Apache Software Foundation (ASF), The most popular open-source software foundation, announced Apache ShardingSphere as a Top-Level Project (TLP) on Wakefield, MA, 16th April 2020.
ShardingSphere entered into the Apache incubator since 10th November 2018. With the help of mentors and the whole community, The Apache board approved its graduation proposal with 10 +1 votes successfully, which ends up its 17 months incubator and promotes it as TLP.
As the first project graduating from Incubator in 2020, this cheering news was published subsequently on Apache official blog with the support of Sally Khudairi, Vice President Marketing & Publicity of ASF.
Apache ShardingSphere was born in dangdang.com, grew up fastly in JD.com, and now becomes a famous Apache distributed database middleware ecosystem. The evolvement from a light JDBC driver into an ecosystem presents the efforts and enthusiasm of the whole community in the past 17 months.
Special thanks for the guidance from IPMCs, mentors. Many thanks for contributions from 120+ committers all over the world. What's more, we are glad to see the community still move actively during the coronavirus outbreak.
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title = "Your Guide to DistSQL Cluster Governance Capability——Apache ShardingSphere Feature Update"
weight = 57
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Since Apache ShardingSphere 5.0.0-Beta version included DistSQL, it made the project increasingly loved by developers and Ops teams for its advantages such as dynamic effects, no restart, and elegant syntax close to standard SQL.
With upgrades to 5.0.0 and 5.1.0, the ShardingSphere community has once again added abundant syntax to DistSQL, bringing more practical features.
In this post, the community co-authors will share the latest functions of DistSQL from the perspective of “cluster governance”.
## ShardingSphere Cluster
In a typical cluster composed of ShardingSphere-Proxy, there are multiple `compute nodes` and storage nodes, as shown in the figure below:
To make it easier to understand, in ShardingSphere, we refer to Proxy as a compute node and Proxy-managed distributed database resources (such as `ds_0`, `ds_1`) as `resources` or `storage nodes`.
Multiple Proxy or compute nodes are connected to the same register center, sharing configuration, and rules, and can sense each other’s online status.
These compute nodes also share the underlying storage nodes, so they can perform read and write operations to the storage nodes at the same time. The user application is connected to any compute node and can perform equivalent operations.
Through this cluster architecture, you can quickly scale Proxy horizontally when compute resources are insufficient, reducing the risk of a single point of failure and improving system availability.
The load balancing mechanism can also be added between application and compute node.
**Compute Node Governance**
Compute node governance is suitable for Cluster mode. For more information about the ShardingSphere modes, please see [Your Detailed Guide to Apache ShardingSphere’s Operating Modes](https://medium.com/codex/your-detailed-guide-to-apache-shardingspheres-operating-modes-e50df1ee56e4).
**Cluster Preparation**
Take a standalone simulation of three Proxy compute nodes as an example. To use the mode, follow the configuration below:
```yaml
mode:
type: Cluster
repository:
type: ZooKeeper
props:
namespace: governance_ds
server-lists: localhost:2181
retryIntervalMilliseconds: 500
timeToLiveSeconds: 60
maxRetries: 3
operationTimeoutMilliseconds: 500
overwrite: false
```
Execute the bootup command separately:
```bash
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> In less than two months since the release of Apache ShardingSphere 5.1.0, our community has merged 698 PRs from teams or individuals around the world to bring you the new 5.1.1 release. This release has a number of optimizations in terms of features, performance, testing, documentation, examples and more.
> The performance aspect deserves special mention, as we adopt the industry-standard TPC-C test model to run Apache ShardingSphere 5.1.1 and the openGauss 3.0 database on 16 physical servers, achieving over 10 million tpmC, the best performance in the industry at the same scale!
> This article is an overview of the ShardingSphere 5.1.1 update.
Apache ShardingSphere 5.1.1 update optimizes the functionality and performance of 5.1.0, and fixes some issues. The following will give you a general overview of some of the updates.
## Kernel
The kernel is ShardingSphere’s foundation, and it remains our goal to build a fully functional and stable kernel with high performance. In 5.1.1, ShardingSphere optimizes a lot of logic at the kernel level, fixing the problems found in different scenarios in the previous version, including data sharding, read/write splitting, data encryption, and improved the performance of each scenario to varying degrees.
In terms of database dialects, the kernel improves the support for [MySQL](https://www.mysql.com/) tablespaces and improves SQL support for [Oracle](https://www.oracle.com/database/), [SQL Server](https://www.microsoft.com/en-us/sql-server/sql-server-downloads), [PostgreSQL](https://www.postgresql.org/), [openGauss](https://opengauss.org/en/), and other databases. Additionally, the initial support for PostgreSQL / openGauss schema, a three-tier structure, has been implemented in the ShardingSphere kernel and will be improved with the future releases.
## Interface
This update fixes a potential performance risk for ShardingSphere-JDBC, optimizes the non-essential interaction logic between internal ShardingSphere-JDBC and the database connection pool, and reduces the performance overhead of ShardingSphere-JDBC.
In terms of ShardingSphere-Proxy, support for MySQL / PostgreSQL data types has been improved. The occasional `ResultSet` closed error for ShardingSphere-Proxy MySQL has been fixed, and ShardingSphere-Proxy MySQL also has initial support for executing multiple statements at the protocol level to improve the performance of batch operations.
In terms of client support, ShardingSphere-Proxy PostgreSQL improves the support for PostgreSQL JDBC Driver 42.3.x, and ShardingSphere-Proxy openGauss improves the support for openGauss JDBC Driver 3.0.
## Elastic Scale-out
In this update, in addition to fixing the problem that migration tasks cannot be restarted by DistSQL after reporting errors, the elastic scaling has been improved and new features of stop source writing, resume source writing, and partial tables scaling have been implemented. For cases that do not meet the migration conditions, elastic scale-out can fail quickly and find out the problem in time to avoid extra time costs for users.
## DistSQL
DistSQL has been optimized in terms of user experience, adding more calibration and reducing the possibility of user configuration errors in using DistSQL. We also fixed an issue where some user input conflicted with DistSQL keywords.
## Distributed Governance
In terms of read/write splitting and database discovery, in addition to the original MGR, MySQL adds a new database discovery method by querying primary-secondary delay, which can automatically switch read/write splitting data sources by getting the secondary delay, reducing the threshold for users to use dynamic read/write splitting.
In cluster mode, the metadata storage structure has been optimized and reconstructed, and the problems caused by ZooKeeper session timeout and case mismatch on table names have been fixed.
## Distributed Transactions
In terms of transactions, ShardingSphere-JDBC adds support for Savepoint, and ShardingSphere-Proxy adds support for Savepoint in XA scenarios, in addition to the original support for `Savepoint` for `LOCAL` transactions.
When Narayana is used as an XA implementation, ShardingSphere supports the configuration of Narayana to make the use of XA more conveniently.
With PostgreSQL / openGauss, when an exception occurs in a transaction, ShardingSphere can properly abort the transaction and automatically roll back.
The above is an introduction to some of the updates to Apache ShardingSphere 5.1.1, please refer to the update log for details. The ShardingSphere community will be releasing detailed explanations of some of these features, so stay tuned.
ShardingSphere 5.1.1 has no changes at the API level but has made many improvements in functionality and performance — you’re welcome to try it out.
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title = "Apache ShardingSphere Enterprise Applications — Bilibili"
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> To further understand application scenarios, and enterprises’ needs, and improve dev teams’ understanding of Apache ShardingSphere, our community launched the “Enterprise Visits”
> series.
[Apache ShardingSphere](https://shardingsphere.apache.org/)’s core contributor team was invited to the headquarters of [Bilibili](https://www.bilibili.com/) in Shanghai. Our PMC Chair, Zhang Liang, discussed with Bilibili’s tech team the e-commerce and digital entertainment verticals application scenarios, and the capabilities of different versions of ShardingSphere.
With the unprecedented growth of data volume and increasingly diversified data application scenarios, different platforms, businesses, and scenarios have resulted in database applications’ fragmentation. The challenges facing databases today are totally different from the ones they were conceived to solve. This is also reflected in the growth of Bilibili’s e-commerce business.
For over a decade, Bilibili has built an ecosystem community centered on users, creators, and content, while producing high-quality videos as well. With an increasing number of users, Bilibili has also gradually developed peripheral business ecosystems such as its subscription revenue model. The expansion of business lines and application scenarios brought great challenges for Bilibili’s tech team, especially in the management and application of backend data.
During the visit, our community and Bilibili mainly discussed these three points:
## The SQL warm-up feature jointly built with Bilibili:
When Bilibili queries goods and orders with batch priority in its business, it is often necessary to manually warm-up SQL during the initial linking process to improve overall performance. However, in the process of manual warm-up, parameters of different lengths cannot be used as a SQL to warm-up due to the use of `foreach` syntax of the [Mybatis](https://mybatis.org/mybatis-3/index.html) framework.
Apache ShardingSphere can see the SQL execution plan through the `preview`, thus warming up the SQL. In the future, we plan to provide a separate SQL warm-up interface and merge the SQL warm-up time into the startup time. ShardingSphere will start on its own after SQL is warmed up.
[Apache ShardingSphere](https://shardingsphere.apache.org/) is an open-source project driven by the needs of the community. Currently, many capabilities’ development is driven by specific user requirements, which are fed back to the community after development and gradually integrated into Apache ShardingSphere.
Therefore, the ShardingSphere community invited Bilibili’s tech team to get involved in terms of the SQL warm-up feature.
With the expansion of Apache ShardingSphere’s application scenarios, there is a higher expectation for ShardingSphere’s capabilities to adapt to a variety of special business scenarios. In the previous “Enterprise Visits” series, the ShardingSphere community recognized that even though it has more than 100 feature modules, enterprises from various verticals have different expectations from ShardingSphere.
## Bilibili’s circuit breaker automation in traffic spike scenarios:
With the growth of Bilibili’s e-commerce scale, as is often the case with many e-commerce businesses, started to adopt front-end strategies such as cash rebates and flash deals in order to improve user retention.
On the backend, however, when the rebate performance of the warehouse is equal to the number of concurrent transactions while exceeding its own connection number limit, it can only be stopped through manual disconnection via DBA based on the number of SKU at the business level. Manual intervention is inefficient and consumes DBAs’ energy, so [ShardingSphere-Proxy](https://shardingsphere.apache.org/document/current/en/quick-start/shardingsphere-proxy-quick-start/) is expected to provide an automatic circuit breaker capability.
However, the flash deal scenario is too demanding, so [Redis](https://redis.io/) still represents a better choice. Achieving automation simply requires setting rules and thresholds.
Sinking data to Proxy can also achieve the capabilities of Redis, but no matter how the upper layer changes, the bottom of the database will not change. Therefore, it is better for DBAs to take the initiative to operate the circuit breaker mechanism. Otherwise, after setting a threshold, if the connection between the application and the database has a slight timeout, a large number of transactions will be cut off instantly, which can easily cause a business outage.
Currently, a better way is to dig out all kinds of key information and display it on the visual interface based on Proxy, to facilitate the real-time comparison and operation of DBA instead of achieving automation.
## The Apache ShardingSphere registry:
In the Apache ShardingSphere architecture, the registry provides distributed governance capabilities and is fully open to users since its computing node ([Shardingsphere-proxy](https://shardingsphere.apache.org/document/current/en/quick-start/shardingsphere-proxy-quick-start/)) is stateless without data storage capability. Therefore, user accounts and authorization information need to be stored in the registry.
Concurrently, with the help of the registry, Apache ShardingSphere can distribute information to multiple computing nodes in the cluster in real-time, greatly reducing maintenance costs for users when using the cluster and improving management efficiency.
In cluster mode, Apache ShardingSphere integrates third-party registry components [ZooKeeper](https://zookeeper.apache.org/) and [Etcd](https://etcd.io/) to achieve metadata and configuration sharing in the cluster environment. At the same time, with the help of the notification and coordination ability of the registry, it ensures the real-time synchronization of the cluster when the shared data changes. And the business will not be aware of changes from the registry.
## Q&A with Bilibili
**Q: Is there a performance loss when using JDBC to connect to the governance center?**
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Complicted SQL statements are some of the most common problems that data scientists and engineers encounter. For example, can you comprehend at first glance the complex SQL statement below?
```sql
select a.order_id,a.status,sum(b.money) as money from t_order a inner join (select c.order_id as order_id, c.number * d.price as money from t_order_detail c inner join t_order_price d on c.s_id = d.s_id) b on a.order_id = b.order_id where b.money > 100 group by a.order_id
```
How about formatting it? Is it easier to understand the formatted formatted version below?
```sql
SELECT a . order_id , a . status , SUM(b . money) AS money
FROM t_order a INNER JOIN
(
SELECT c . order_id AS order_id, c . number * d . price AS money
FROM t_order_detail c INNER JOIN t_order_price d ON c . s_id = d . s_id
) b ON a . order_id = b . order_id
WHERE
b . money > 100
GROUP BY a . order_id;
```
The first step to parse such a complex SQL is always formatting, and then its SQL semantics can be parsed based on the formatted content. SQL Formatter is, therefore, one of the essential functions of for any database software.
Accordingly, [Apache ShardingSphere](https://shardingsphere.apache.org/) now offers a SQL formatting tool called SQL Parse Format that depends on ShardingSphere’s SQL dialect parser.
**SQL Parse Format is an important function of the ShardingSphere Parser Engine, and also lays the foundation for ShardingSphere’s SQL Audit (TODO).** This article offers a deep dive into the SQL Parse Format function:
- What’s its core concept?
- How you can use it?
- How can you develop SQL Parse Format?
## Parser Engine
To begin, we need to introduce more about Apache ShardingSphere’s Parser Engine because SQL Parse Format is a unique and relatively independent function of the parser engine.
Apache ShardingSphere developed the parser engine to extract key information in SQL, such as fields of data shards and rewritten columns for data encryption. So far, Apache ShardingSphere’s parser engine has undergone three iterations.
The initial parser engine leveraged [Druid](https://druid.apache.org/) as its SQL parser and performed quite well before ShardingSphere Version 1.4.x.
Later the ShardingSphere community decided to develop its second-generation parser engine on its own. Since the use purpose was changed, ShardingSphere adopted another approach to comprehend SQL: only the contextual information that data sharding needs was extracted, without generating a parse tree or a secondary traversal, to improve performance and compatibility.
Currently, the third generation of ShardingSphere Parser Engine uses [ANTLR](https://www.antlr.org/) as the parse tree generator and then extracts the contextual information by doing a secondary tree traversal. It is substantially compatible with more SQL dialects, which further accelerates developing other functions in Apache ShardingSphere.
In version 5.0.x, ShardingSphere developers further enhanced the performance of the newest parser engine by changing its tree traversal method from Listener to Visitor and adding parsing results cache for pre-compiled SQL statements.
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On July 21, 2021, Pan Juan, the SphereEx Co-Founder and Apache ShardingSphere PMC, was invited to give a keynote session at the 2021 AWS Cloud Summit Shanghai, on “Apache ShardingSphere: Open-Source Distributed Database Middleware Ecosystem Building”.
She introduced the expansion of the Open-Source project, community building, and how ShardingSphere practices the “Apache Way”. This article is a summary of Pan Juan’ s ideas.
## A New Ecosystem Layer Positioned Above the Database & Under Business Applications
Different industries, different users, different positionings, different requirements. Today’s databases are faced with more complex data application scenarios, and increasingly personalized and customized data processing requirements than in the past. Demanding environments are driving different databases to continuously maximize data read and write speed, latency, throughput, and other performance indicators.
Gradually, data application scenarios with a clear division of labor lead to the fragmentation of the database market, and it is difficult to produce a database that can perfectly adapt to all scenarios. Therefore, it’s very common for enterprises to choose different databases in different business scenarios.
Different databases bring about different challenges. From a macro perspective, there are some commonalities among these challenges, and it’s possible to base on the commonalities and form a set of factual standards. When you can build a platform layer that can uniformly apply and manage data on top of these databases, even if underlying database differences still exist, you can develop a systemin accordance with certain fixed standards. This standardized solution will greatly reduce the pressure and the learning cost for users managing basic data facilities.
Apache ShardingSphere is the platform layer. Thanks to its repurposing of an original database, it can help a technical team develop incremental capabilities such as fragmentation, encryption, and decryption, etc. It does not need to consider the configuration of an underlying database and can shield users’ perception. Therefore, it can quickly connect business-oriented databases in a direct way and easily manage large-scale data clusters.
## How to Practice the Apache Way
When a business grows bigger, one database can no longer support a large volume of business data and thus it’s necessary to expand the database horizontally. That is the problem of distributed management. ShardingSphere builds a hot-plugging function layer above a database, while providing traditional database operations, shields users’ perception of the underlying database changes, and enables developers to manage large-scale database clusters by using a single database. ShardingSphere mainly includes the following four application scenarios:
* **Sharding Strategy**
When the volume of a business increases, the pressure of data fragmentation will increase, and thus its fragmentation strategy will become increasingly complex. ShardingSphere enables users to unlock more fragmentation strategies apart from horizontal scaling in a flexible and scalable way at the minimum cost. It also supports custom scaling.
* **Read and Write Splitting**
Usually, master-slave deployment can effectively relieve database pressure, but if there is a problem in a machine or a table of a certain cluster, it’s impossible to have read and write operations, and this problem will have a great impact on the business. To avoid this, developers usually need to rewrite a set of highly available strategies to change the position of master/slave between read and write tables. ShardingSphere can automatically explore all cluster states, so it can immediately find problems such as unreliable requests, and master-slave switching of a database. It also can automatically restore the old master/slave state, which cannot be perceived by the user.
* **Sharding Scaling**
As a business grows, it’s necessary to split data clusters again. ShardingSphere’s The scaling component enables a user to start a task with only one SQL command and shows the running status in real time in the background. Thanks to the “pipeline-like” scaling, the old database ecosystems are connected to a new database ecosystem .
* **Data Encryption and Decryption**
In terms of database applications, encryption and decryption of key data is very important. If a system fails to monitor data in a standardized way, some sensitive data may be stored as plaintext, and users would need to encrypt them later. It’s a common problem for many teams.
ShardingSphere standardizes the capability and integrates it into its middleware ecosystem, and therefore it can automate new/old data desensitization and encryption/decryption for users. The whole process can be achieved automatically. At the same time, it has a variety of built-in data encryption and decryption/desensitization algorithms, and users can customize and expand their own data algorithms if necessary.
## A Pluggable Database Plus Platform
Faced with various requirements and usage scenarios, ShardingSphere provides developers of different fields with three accesses: JDBC for Java, Proxy for heterogeneous databases and Sidecar for Cloud. Users can make a choice based on what they need, and operate on fragmentation, read and write separation, and data migration of original clusters.
* **JDBC Access:** an enhanced JDBC driver that allows users to fully use JDBC mode, because it is compatible with JDBC and various ORM frameworks. Thus, without additional deployment and dependence required, users can realize distributed management, horizontal scaling, desensitization and so forth.
* **Proxy Access:** a simulation database service that uses Proxy to manage underlying database clusters, which means that users do not need to change their existing mode .
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title = "How to Use ShardingSphere-Proxy in Real Production Scenarios—Your Quick Start Guide"
weight = 52
chapter = true
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This post analyzes ops & maintenance solutions with experiences taken from real production scenarios for data sharding and other functions provided by ShardingSphere-Proxy Version 5.1.0.
> Unless otherwise specified, in the following examples, when we say “database” we refer to [MySQL](https://www.mysql.com/).
## What does ShardingSphere-Proxy do?
ShardingSphere-Proxy allows users to use Apache ShardingSphere just as if it were a native database.
To gain a better understanding of what’s ShardingSphere-proxy, let’s take a look at its definition provided, by [Apache ShardingSphere’s official website](https://shardingsphere.apache.org/):
> ShardingSphere-Proxy is a transparent database proxy that provide a database server containing database binary protocols designed to support heterogeneous languages.
> Currently, it supports MySQL and [PostgreSQL](https://www.postgresql.org/) (and PostgreSQL-based databases, such as [openGauss](https://shardingsphere.medium.com/apache-shardingsphere-opengauss-breaking-the-distributed-database-performance-record-with-10-b8ced05daa37)) and any related terminals (such as MySQL Command Client, https://blog.devart.com/mysql-command-line-client.html Workbench, etc.) that are compatible with MySQL or PostgreSQL protocols to operate data. It’s a DBA-friendly tool.
It’s worth noting that ShardingSphere-Proxy is a service process. In terms of client-side program connections, it is similar to a MySQL database.
## Why you need ShardingSphere-Proxy
ShardingSphere-Proxy is a good choice when:
- sharding rules or other rules are used; because data will be distributed across multiple database instances, inevitably making management inconvenient.
- non-Java developers need to leverage ShardingSphere capabilities.
## 1. Application scenarios
There are many scenarios where ShardingSphere-JDBC is used for data sharding. If you have a user table and need to perform horizontal scaling with Hash for the User ID property, the way the client connects to the database is like this:
Below are three real production scenarios:
1. A testing engineer wants to see the information of user ID 123456 in databases & tables, and you need to tell the engineer which subtable the user is in.
2. You need to find out the total user growth in 2022 and overall user information for drafting a yearly report.
3. Your company is going to hold its 8th-anniversary event and you are required to provide a list of active users who have been registered for over 8 years.
Since the data is distributed across database shards and table shards, it is not easy to complete the above-mentioned tasks. If you develop code every time to satisfy these temporary requirements, it’ll be inefficient to say the least. ShardingSphere-Proxy is perfect for these scenarios.
ShardingSphere-Proxy hides the actual backend databases, so the user operates the client side the same way as a database.
For example, `t_user` is split into several real tables at the database level, that is from `t_user_0` to `t_user_9` . While operating ShardingSphere-Proxy on the client side, the user only needs to know one logical table `t_user`,and routing to the real tables is executed inside ShardingSphere-Proxy.
**1. Logical table:** The logical name of the horizontally-scaled databases/tables with the same structure. A logical table is the logical identifier of tables in SQL. For example, user data is sharded into 10 tables according to the significant digits of the primary key, that is, `t_user_0` to `t_user_9` , and their common logical table is named `t_user`.
**2. Actual table:** The physical table actually exists in databases after scale-out, that is, the above-mentioned `t_user_0` to `t_user_9` .
## 2. The differences between ShardingSphere-JDBC and ShardingSphere-Proxy
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== File: docs/blog/content/material/proxy.en.md
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title = "Revealing Sharding-Proxy —— Database Middleware Oriented DBA"
weight = 1
chapter = true
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### Lecturer introduction
**Yonglun Zhang**: Senior software engineer of operation and maintenance department at JD Finance
He has been working on software development for years engaged in traditional Industry. Afterwards he was involved in Internet and started his web crawler career at JD Finance, sigh at the huge amount of Internet data since then. It's great honor to join ShardingSphere this year and be able to do what he is interested in, he hopes to improve himself and contribute to the community.
Hello everyone, I'm so glad to show you Sharding-Proxy, which is the second product of ShardingSphere.
It was first released with ShardingSphere 3.0.0.M1 last month. I hope you can have visualize of overall view for Sharding-Proxy through several optimizing practices. With regard to topics of MySQL protocol, IO, Netty, etc. I'll share related themes next time.
### 01 Sharding-Proxy Introduction
#### 1\. Sharding-Proxy Overview
ShardingSphere-Proxy defines itself as a transparent database proxy, providing a database server that encapsulates database binary protocol to support heterogeneous languages. Friendlier to DBA, the MySQL version provided now can use any kind of terminal (such as MySQL Command Client, MySQL Workbench, etc.) that is compatible of MySQL protocol to operate data.
* Totally transparent to applications, it can be used directly as MySQL.
* Applicable to any kind of terminal that is compatible with MySQL and PostgreSQL protocol.
Comparison with Sharding-JDBC & Sharding-Sidecar:
They can work individually and cooperate each other, which achieve same purpose through different architecture and point of penetration. Its core functions based on same implementation, such as data sharding, replica query and base transaction.
For instance, Sharding-JDBC highly supports many kinds of ORM framework for Java development technology stack scenarios. It's quite convenient to import data sharding ability to your system. DBA retrieves and manages data by deploying a Sharding-Proxy instance.
#### 2\. Sharding-Proxy Architecture
The whole architecture can be divided into three components: Frontend, Core-module and Backend:
* Frontend: It's responsible for communication with client, based on NIO client/server framework. It adopts to NIO on Windows and Mac, adaptive to Epoll automatically on Linux, and completes to the encoding/decoding of MySQL protocol in the process of communication.
* Core-module: After getting decoded command of MySQL, it starts to parse/rewrite/route/conflate SQL through Sharding-Core.
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== File: docs/blog/content/material/realization.en.md
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title = "The quick explanation of ShardingSphere transaction module"
weight = 2
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<!-- ## 分布式事务在Sharding-Sphere中的实现 -->
### Lecturer
<!-- ### 讲师简介 -->
<!-- **赵俊** -->
**Jun Zhao**
Work at JD Finance
<!-- 京东金融 -->
Senior Java Development Engineer
<!-- 高级Java开发工程师 -->
<!-- - 多年互联网开发经验，热爱开源技术，对分布式存储有浓厚的兴趣。熟悉ElasticSearch、HBase、Presto、Storm等离线和实时数据处理 -->
- Years of internet development experience, love open source technology, full of interested in distributed storage. And familiar with online and realtime data processing with ElasticSearch, HBase, Presto, Storm and et.
<!-- - 目前主要在Sharding-Sphere团队负责分布式事务的开发 -->
- Be responsible for distributed transaction implementation in Sharding-Sphere team.
### Using Scenarios of Distributed Transaction
<!-- ### 分布式事务的使用场景 -->
#### ACID
<!-- 一切从ACID开始说起。ACID是本地事务所具有的四大特征： -->
Everything starts with ACID(atomicity, consistency, isolation, durability). ACID are features of database local transaction as following,
<!-- * **Atomicity：原子性** -->
* **Atomicity**
Atomicity guarantees that each transaction is treated as a single "unit", which either succeeds completely, or fails completely.
<!-- 事务作为整体来执行，要么全部执行，要么全不执行。 -->
<!-- * **Consistency：一致性** -->
* **Consistency**
<!-- 事务应确保数据从一个一致的状态转变为另一个一致的状态。 -->
Consistency ensures that a transaction can only bring the database from one valid state to another.
<!-- * **Isolation：隔离性** -->
* **Isolation**
Transactions are often executed concurrently, and the effects of an incomplete transaction might not even be visible to other transactions.
<!-- 多个事务并发执行时，一个事务的执行不应影响其他事务的执行。 -->
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title = "Apache ShardingSphere 社区的探索与拓展"
weight = 9
chapter = true
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Apache ShardingSphere 社区受邀参与了11月9日在清华大学举办的《 Apache Event——走进 Apache 开源软件社区》的分享活动。在活动中 Apache ShardingSphere 社区的PPMC张亮分享了《 Apache ShardingSphere 社区的探索与拓展》这个话题，下面呈现分享的主要内容。
### 01 为什么要做开源 ###
做开源对于个人来讲，能获得两方面的收益：更好的职业生涯和享受乐趣。
\-1- 更好的职业生涯
1\. 职位需求多。企业对于开源岗位有很强的招聘需求。开源能够给公司带来很多价值，如：通过开源项目搭建云服务平台并提供增值服务、让开源项目本身的质量得以提升、提升公司的是技术影响力等。开源的职位往往与技术和社区本身关联性高、不受地域限制，属于一个比较自由的职位。
2\. 自身技能提升。包括技术能力和软技能的提升。通过参与顶级的开源项目，技术的提升自不必说，其他的软技能也会得到相应的提升，如英语、协作能力、运营推广能力等。如果是打造全新的开源项目，从零到一的开创能力也会得到极大的提升。
3\. 人际关系拓展。开源参与者的职业生涯将不再仅关注薪水、KPI等与工作本身强相关的事情。纯粹的技术交流、各种会议的分享、写作邀请、甚至资本注入等各种与行业相关的连接会被逐渐扩展，参与国际的开源项目还会认识更多的国际友人。正所谓低头做技术，抬头看世界。参与开源，认识更多的人，为今后职业生涯的发展提供更多可能性。
4\. 个人品牌打造。开源的工作，其过程和成果都是公开的，这就意味着参与者的所有努力都可以被任何人在任何时间看得到，是永久留存的记录。而公司内部的私有项目风险比开源项目相对来说要大很多，私有项目的评断标准取决于项目负责人的认可，如果项目责任人不认可，那么参与者的价值就趋近于零。开源项目则不同，正是因为参与者的价值能够在一个公开的平台去展现，价值的评断不取决于一个相对狭小的范围。
\-2- 享受乐趣
1\. 成长的乐趣。真正喜欢去做一件事情的人，会在成长中体会到乐趣。软件开发行业是要需要从业者发挥自驱力的行业，遵从内心的喜欢编程，是在这个行业中取得成功的捷径。喜欢编程的人，自然能够体会自身成长所带来的乐趣。
2\. 成就感。行业的认同，会在成长的同时获得成就感。无论是个人自身的成就感，还是项目提升带来的成就感，都是职业生涯中快乐的源泉。当你所做的东西，被同好者广泛认可的时候，成就感会油然而生。
### 02 Apache 软件基金会项目简介 ###
Apache 软件基金会是一个非盈利组织。从1999年至今的20年时间里，产出了无数影响软件行业的项目。在几百个 Apache 软件基金会项目中，我们可以浏览一下几个非常著名的项目：Apache Tomcat、Apache Commons、Apache Maven、Apache Hadoop、Apache Kafka、Apache Spark、Apache Zookeeper等等。Apache 软件基金会的项目成为了开发者日常工作的基石。毫不夸张的说，如果以上项目，您一个都没听说过的话，那么可能很难拿到任何一家公司的Java后端或大数据类Offer。
近年来，来自中国的 Apache 项目也越来越多了，截止到目前为止，已经有19个来自中国的项目进入了 Apache 软件基金会，其中有9个项目已经毕业成为顶级项目，还有10个项目正在孵化中。对于没有在西方社会工作过的人来说，参与一个国际化的开源项目的门槛有点高，因此，来自中国的 Apache 软件基金会项目对于想参与开源的国内同学是一个巨大的福音。这些项目能够提供一个有效的缓冲带，让一些初入社区且找不到门路的同学能够以熟悉的母语快速的进入国际化的开源社区。来自中国的 Apache 软件基金会项目，与来自西方的Apache软件基金会项目在流程、规范、法务等方面并无不同，唯一的区别是能在社区中找到可以说汉语的人，拉进沟通交流的举例，并进一步的了解 Apache 社区的运作模式，为以后参与其他国际化项目打好基础。
### 03 Apache ShardingSphere 简介 ###
Apache ShardingSphere 是 19 个来自中国的 Apache 软件基金会项目之一，目前正在孵化器中。Apache ShardingSphere 是一个微内核且可高度扩展的数据库中间件。它的内核微小而稳定，但却提供可无限扩展的平台，因此它非常适合与开放的社区一起成长，并近乎于无限的拓展其功能范围。
Apache ShardingSphere 开源将近4年了，它的外部使用相当广泛，目前有100+公司明确的声明正在使用中，并未声明的公司不计其数，无法准确的统计。已经记录在册的公司涵盖了各行各业，有互联网、互联网金融、在线教育、企业服务，甚至还包括政府机关。Apache ShardingSphere 和纯粹从社区兴起的项目略有不同，它是由公司捐助到 Apache 软件基金会的，在公司内部已经被十分广泛的使用，涵盖京东白条、超级账户、城市计算、秒级监控、京东金融云、京东大数据、京东海外商城等很多系统。相对于自由发展的社区，Apache ShardingSphere 也需要承载的稳定性的枷锁。
### 04 Apache ShardingSphere 社区数据统计 ###
对于一个开源项目来说，项目本身和社区是同样重要的，因此，项目+社区才是组成的 Apache ShardingSphere 的全部。Apache ShardingSphere 是在 2018 年 11 月 10 号正式进入 Apache 软件基金会孵化器的，至今为止正好一年。这一年来，社区活跃度的社区数据变化还是很明显的。
\-1- 邮件列表数据变化
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== File: docs/blog/content/material/_index.cn.md
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title = "博文选集"
weight = 1
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欢迎阅读 Apache ShardingSphere 的精选博文，也欢迎您的投稿！
1. [新版发布｜ShardingSphere 5.0.0-beta 来了！](/cn/material/ss_5.0.0beta/)
2. [停滞数年后，ElasticJob 携首个 Apache 版本 3.0.0-alpha 回归](/cn/material/alpha/)
3. [快讯！分布式调度项目 ElasticJob 即将重新起航](/cn/material/elasticjob/)
4. [分布式数据库解决方案 Apache ShardingSphere 毕业成为顶级项目](/cn/material/graduate/)
5. [我们是怎样打造一款分布式数据库的](/cn/material/database/)
6. [Apache ShardingSphere 社区的探索与拓展](/cn/material/community/)
7. [快讯！Apache ShardingSphere 进入CNCF全景图](/cn/material/cncf/)
8. [Apache ShardingSphere 整合 Seata AT 分布式事务](/cn/material/seata/)
9. [刚柔并济的开源分布式事务解决方案](/cn/material/solution/)
10. [成为 Apache 官方认可的 Committer 有什么优势](/cn/material/committer/)
11. [自动化执行引擎](/cn/material/engine/)
12. [剖析 Sharding-Sphere 系列 —— 结果归并](/cn/material/result/)
13. [分布式事务在 Sharding-Sphere 中的实现](/cn/material/realization/)
14. [揭秘 Sharding-Proxy —— 面向 DBA 的数据库中间层](/cn/material/proxy/)
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== File: docs/blog/content/material/2022_09_06_Apache_ShardingSphere_Enterprise_User_Case_-_Energy_Monster.en.md
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title = "Apache ShardingSphere Enterprise User Case - Energy Monster"
weight = 73
chapter = true
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[Energy Monster](https://ir.enmonster.com/)’s application of [ShardingSphere-JDBC](https://shardingsphere.apache.org/document/current/en/overview/#shardingsphere-jdbc)
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------
[Energy Monster](https://ir.enmonster.com/) is a consumer tech company with the mission to energize everyday life. The company is the largest provider of mobile device charging services in Asia.
As the company’s business concurrency volume is getting larger, the amount of data generated (users, orders, activities, etc.) increases each day. The traditional relational database has proven to be inadequate in supporting millions or tens of millions of data volumes in a single database or table.
Performance has been unable to meet the benchmark requirements of business development. Under these circumstances, data sharding is an effective way to solve the problem.
Technology selection
--------------------
Under the [Database Plus](https://shardingsphere.apache.org/) concept, ShardingSphere is designed to build an ecosystem on top of heterogeneous databases. The goal is to provide globally scalable and enhanced computing capabilities while maximizing the original database computing capabilities.
The interaction between applications and databases becomes oriented towards the Database Plus standard, therefore minimizing the impact of database fragmentation on upper-layer services.
Within the ShardingSphere ecosystem, [ShardingSphere-JDBC](https://shardingsphere.apache.org/document/current/en/overview/#shardingsphere-jdbc) is positioned as a lightweight Java framework, providing additional services in Java’s JDBC layer.
It uses the client to directly connect to the database and provide services in the form of a `jar` package, without additional deployment and dependence. It can be understood as an enhanced version of the JDBC driver, which is fully compatible with JDBC and various ORM frameworks.
ShardingSphere-JDBC enables developers to focus only on the work outside the data layer by coordinating the data read and write under the data sharding, instead of using business code to manually select databases and tables.
Business case
-------------
UCS is Energy Monster’s user-centric service providing basic functionality for users on the Server side. In 2018, it was stripped from [PHP](https://www.php.net/) Server and moved to the Java technology stack to implement microservitization.
It involves the design of new databases and tables and data cleaning and migration. The whole switchover process was expected to ensure the following functions:
* Stability: smooth release in a short time without halting.
* Accuracy: ensure accurate cleaning of tens of millions of data volumes.
* Scalability: solve the performance problems caused by increasing data volume and ensure scalability.
**_Solutions to data cleansing and migration_**
* Initial data synchronization.
* The application’s server cuts off the entry (users).
* Data synchronization (updates and new users since the last time point).
* Data cleaning.
* User center release.
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title = "Apache ShardingSphere 5.2.0 is Released!"
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Our new 5.2.0 release enhances features such as SQL audit, elastic migration, SQL execution process management, and data governance on the cloud.
### Introduction
Since [Apache ShardingSphere](https://shardingsphere.apache.org/) released version 5.1.2 at the end of June, our community has continued to optimize and enhance its product features. The community merged 1,728 PRs from teams and individuals around the world. The resulting 5.2.0 release has been optimized in terms of its features, performance, testing, documentation, examples, etc.
The establishment of the [shardingsphere-on-cloud](https://github.com/apache/shardingsphere-on-cloud) sub-project shows ShardingSphere’s commitment to being cloud native. We welcome anyone interested in Go, database, and cloud to join the shardingsphere-on-cloud community.
**The 5.2.0 release brings the following highlights:**
* SQL audit for data sharding.
* Elastic data migration.
* SQL execution process management.
* Shardingsphere-on-cloud sub-project goes live.
Newly added features, including SQL audit for data sharding and MySQL SHOW PROCESSLIST & KILL, can enhance users’ capability to manage ShardingSphere.
The SQL audit feature allows users to manage SQL audit to prevent the business system from being disrupted by inefficient SQL. The MySQL SHOW PROCESSLIST & KILL feature allows users to quickly view the SQL in execution through the SHOW PROCESSLIST statement, and forcibly cancel slow SQL.
**The new version also supports elastic data migration. It supports the migration of data from [Oracle](https://www.oracle.com/index.html), [MySQL](https://www.mysql.com/), and [PostgreSQL](https://www.postgresql.org/) to the distributed database ecosystem composed of ShardingSphere + MySQL or PostgreSQL, completing the transformation from a single database to a distributed one.** The ShardingSphere community will support more features for heterogeneous database migration in future releases. Stay tuned for more updates.
The new version also transferred Helm Charts from the ShardingSphere repository to the **shardingsphere-on-cloud sub-project. It is designed to provide distributed database solutions of ShardingSphere + MySQL or PostgreSQL on the cloud.** This version significantly improves SQL parsing support for different databases and upgrades [DistSQL](https://shardingsphere.apache.org/document/5.1.0/en/concepts/distsql/)’s parameter usage specifications. It removes the Memory operating mode from ShardingSphere mode and supports distributed transactions across multiple logical databases. This post will introduce the updates of ShardingSphere 5.2.0.
### Highlights
### SQL audit for data sharding
In large-scale data sharding scenarios, if a user executes an SQL query without the sharding feature, the SQL query will be routed to the underlying database for execution.
As a result, a large number of database connections will be occupied and businesses will be severely affected by timeout or other issues. If the user performs UPDATE/DELETE operations, a large amount of data may be incorrectly updated or deleted.
In response to the above problems, ShardingSphere 5.2.0 provides the SQL audit for data sharding feature and allows users to configure audit strategies. The strategy specifies multiple audit algorithms, and users can decide whether audit rules should be disabled. If any audit algorithm fails to pass, SQL execution will be prohibited. The configuration of SQL audit for data sharding is as follows.
```sql
rules:
- !SHARDING
tables:
t_order:
actualDataNodes: ds_${0..1}.t_order_${0..1}
tableStrategy:
standard:
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== File: docs/blog/content/material/2022_12_13_Use_AWS_CloudFormation_to_create_ShardingSphere_HA_clusters.en.md
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title = "Use AWS CloudFormation to create ShardingSphere HA clusters"
weight = 83
chapter = true
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# What's AWS CloudFormation?
[AWS CloudFormation](https://aws.amazon.com/cloudformation/) is an infrastructure as code (IaC) service that allows you to easily model, provision, and manage all the cloud services provided by [AWS](https://aws.amazon.com/) by custom templates.
Traditionally, when we create a new architecture, we need to manually configure it in AWS step by step which can cause some errors such forgetting some steps.
Now with CloudFormation, we can use declarative configuration to define resources and then create and manage them without worrying about the dependency order of the resources.
In real-world scenarios, we often need to create duplicate architectures. For example, we can build a set of MQ clusters in a pre-release environment whose architecture and production environment are consistent, and create an `AutoScalingGroup` with the same configuration in each availability zone (AZ).
Through CloudFormation, those repeated architectures can then be expressed in the form of code and stored in the code repository for management. This way, they can be easily integrated into existing CI/CD pipelines to achieve the change of infrastructure, in accordance with the current DevOps process. As a result, the infrastructure change is more transparent, repeatable, testable and auditable, simplifying the management of cloud systems.
# What's Apache ShardingSphere?
[Apache ShardingSphere](https://shardingsphere.apache.org/) is a distributed database ecosystem that can transform any database into a distributed database system, and enhance it with sharding, elastic scaling, encryption features & more.
Apache ShardingSphere follows the [Database Plus](https://medium.com/faun/whats-the-database-plus-concepand-what-challenges-can-it-solve-715920ba65aa?source=your_stories_page-------------------------------------) concept, designed to build an ecosystem on top of fragmented heterogeneous databases. It focuses on how to fully use the computing and storage capabilities of databases rather than creating a brand-new database.
[ShardingSphere-Proxy](https://shardingsphere.apache.org/document/current/en/overview/) is a transparent database proxy that supports any client that uses [MySQL](https://www.mysql.com/), [PostgreSQL](https://www.postgresql.org/) and [openGauss](https://opengauss.org/en/).
# Deploy with CloudFormation
As an important part of the data infrastructure, the ShardingSphere Proxy cluster is significant for high availability. For these reasons, our community hopes that you can manage it through IaC to enjoy the benefits brought by IaC.
In the following sections we'll use CloudFormation to create a ShardingSphere-Proxy cluster in multi-AZ. Before creating CloudFormation templates, we have to understand the architecture diagram of a ShardingSphere-Proxy cluster.
Please note that we use [Zookeeper](https://zookeeper.apache.org/) as the Governance Center.
As you can see, ShardingSphere-Proxy itself is a stateless application. In production scenarios, it only needs to offer a LoadBalancer, which can flexibly distribute the traffic between instances.
To ensure the HA of the ZooKeeper cluster and the ShardingSphere-Proxy cluster, we use the following architecture.
# Define CloudFormation Parameters
[The CloudFormation template](https://aws.amazon.com/cloudformation/resources/templates/?nc1=h_ls) is a yaml or json file in which you can define all of the infrastructure. [The CloudFormation parameter](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/parameters-section-structure.html) allows you to inject custom values into the templates. You can then [reference](https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/intrinsic-function-reference-ref.html) these parameters when defining resources. Of course, we also provide default values, which can be overridden if needed.
We use [cfndsl](https://github.com/cfndsl/cfndsl) to write CloudFormation templates: cfndsl is a tool written in [ruby](https://www.ruby-lang.org/en/), allowing you to generate CloudFormation templates through DSL configuration.
```ruby
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== File: docs/blog/content/material/database.en.md
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title = "How to construct the distributed database"
weight = 10
chapter = true
+++
Author | Liang Zhang
Relational databases have dominated the database field for the past few decades, and the stability, security, and ease of use they bring have become the cornerstone for building modern systems. With the rapid development of the Internet, the database structured in a stand-alone system has been unable to meet the increasingly high concurrent requests and increasingly large data storage needs, therefore, distributed database are more widely adopted.
Historically, the database space has been dominated by Western technology companies and communities. Apache ShardingSphere is one of these distributed database solutions and is currently the only database middleware in the Apache Software Foundation.
### 1 Background
Fully compatible with SQL and transactions for traditional relational databases, and naturally friendly to distribution, is the design goal of distributed database solutions. Its core functions are mainly concentrated in the following points:
- Distributed storage: Data storage is not limited by the disk capacity of a single machine, and the storage capacity can be improved by increasing the number of data servers;
- Separation of computing and storage: Computing nodes are stateless and can increase computing power through horizontal expansion. Storage nodes and computing nodes can be optimized hierarchically;
- Distributed transaction: A high-performance, distributed transaction processing engine that fully supports the original meaning of local transactions ACID;
- Elastic scaling: You can dynamically expand and shrink data storage nodes anytime, anywhere without affecting existing applications;
- Consensus replication: Automatically copy the data to multiple copies across data centers in a strong and consistent manner to ensure the absolute security of the data;
- HTAP: The same set of products is used to mix transactional operations of OLTP and analytical operations of OLAP.
The implementation solutions of distributed database can be divided into aggressive and stable. The aggressive implementation solution refers to the development of a new architecture of NewSQL. Such products are focus on higher performance in exchange for the lack of stability and the lack of experience in operation and maintenance; the stable implementation solution refers to the middleware that provides incremental capabilities based on the existing database. Such products sacrifice some performance to ensure the stability of the database and reuse of operation and maintenance experience.
### 2 Architecture
Apache ShardingSphere is an open source ecosystem distributed database solutions, consisting of three separate products, Sharding-JDBC, Sharding-Proxy, and Sharding-Sidecar (planned). They all provide functions of data scale out, distributed transaction and distributed governance for a variety of diverse application scenarios such as Java Isomorphic, heterogeneous languages, and cloud-native. As Apache ShardingSphere continues to explore query optimizers and distributed transaction engines, it has gradually broken the product boundaries of implementations and evolved into a platform-level solution that is both aggressive and stable all in one.
**Sharding-JDBC**
Defines itself as a lightweight Java framework that provides extra service at Java JDBC layer. With the client end connecting directly to the database, it provides service in the form of jar and requires no extra deployment and dependence. It can be considered as an enhanced JDBC driver, which is fully compatible with JDBC and all kinds of ORM frameworks.
**Sharding-Proxy**
Defines itself as a transparent database proxy, providing a database server that encapsulates database binary protocol to support heterogeneous languages. Friendlier to DBA, the MySQL/PostgreSQL version provided now can use any kind of client access (such as MySQL Command Client, MySQL Workbench, Navicat etc.) that is compatible of MySQL/PostgreSQL protocol to operate data.
**Sharding-Sidecar (Planned) **
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== File: docs/blog/content/material/2023_02_09_Leverage_Terraform_to_Create_an_Apache_ShardingSphere_Proxy_High_Availability_Cluster_on_AWS.en.md
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title = "Leverage Terraform to Create an Apache ShardingSphere Proxy High Availability Cluster on AWS"
weight = 86
chapter = true
+++
For this ShardingSphere blog entry, we want you to take advantage of the benefits of IaC (Infrastructure as Code) by deploying and managing a ShardingSphere Proxy cluster the IaC way.
With this in mind, we plan to use Terraform to create a ShardingSphere-Proxy high availability cluster with multiple availability zones.
## **Background**
## Terraform
[Terraform](https://www.terraform.io/) is [Hashicorp](https://www.hashicorp.com/)'s open source infrastructure automation orchestration tool that uses IaC philosophy to manage infrastructure changes.
It's supported by public cloud vendors such as AWS, GCP, AZURE and a variety of other providers from the community, and has become one of the most popular practices in the "Infrastructure as Code" space.
**Terraform has the following advantages:**
*Support for multi-cloud deployments*
Terraform is suitable for multi-cloud scenarios, deploying similar infrastructures such as Alibaba Cloud, or other cloud providers and local data centres. Developers can use the same tools and similar profiles to manage resources from different cloud providers simultaneously.
*Automated management infrastructure*
Terraform's ability to create reusable modules reduces human-induced deployment and management errors.
*Infrastructure as code*
Resources can be managed and maintained in code, allowing infrastructure state to be saved. This enables users to track changes made to different components of the system (infrastructure as code) and share these configurations with others.
## ShardingSphere-Proxy
Apache ShardingSphere is a distributed database ecosystem that transforms any database into a distributed database and enhances it with data sharding, elastic scaling, encryption and other capabilities.
ShardingSphere-Proxy is positioned as a transparent database proxy that supports any client using MySQL, PostgreSQL, or openGauss protocols to manage data, and is more friendly to heterogeneous languages and DevOps scenarios.
ShardingSphere-Proxy is non-intrusive to the application code: users only need to change the connection string of the database to achieve data sharding, read/write separation, etc. As part of the data infrastructure, its high availability will be key.
# Deployment with Terraform
Before we start writing the Terraform configuration, we need to understand the basic architecture of the ShardingSphere-Proxy cluster
We use ZooKeeper as the Governance Center.
As you can see, ShardingSphere-Proxy itself is a stateless application, and in a real world scenario, load balancing is provided externally, and the load balancing is used to flexibly distribute traffic between the instances.
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== File: docs/blog/content/material/CNCF.en.md
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title = "Apache ShardingSphere is included in CNCF Landscape"
weight = 8
chapter = true
+++
### CNCF
(Cloud Native Computing Foundation), is a cloud native computing open source software foundation founded by Google. It is committed to the popularization and sustainable development of Cloud Native technology. Cloud native technology helps enterprises and organizations to build and run agile and scalable applications in modern dynamic environments (such as public clouds, private clouds, and hybrid clouds) through a series of software, specifications, and standards. The representative cloud-native technologies including containers, micro-services, micro-service governance, and declarative APIs, etc.
### CNCF Landscape
(https://github.com/cncf/landscape) is an important project from CNCF. It aims to provide a resource map for cloud native users, enterprises and developers quickly understand the overall picture of the cloud native system.
The CNCF divides the cloud-native ecosystem horizontally into five layers, and vertically maps out two parts for them which are common to the five horizontal layers. The five horizontally divisions layer are: Application Definition and Development, Orchestration and Governance, Runtime, Supply Assurance, and Cloud Facilities. The two vertically divided parts are: observation and analysis and platform. The integrating of these functions result in a complete cloud platform service product offering with the following panorama the：
-- The above content is taken from the book "Future Architecture: From Service to Cloud Native"
### ShardingSphere
On June 28, 2019, UTC+8, Apache ShardingSphere entered CNCF Landscape. It has a place in the following panorama App Definition Development-Database field.
Apache ShardingSphere will keep going to expand and improve in the open source and cloud native fields, and builds an organic open source ecosystem!
We are hoping that more supporters of open source and cloud-native communities can join us to move forward together and promote the common growth of the Apache ShardingSphere community and its contributors!
Since Apache ShardingSphere has been open sourced in 2016, it has been constantly improving and developing, and has been recognized by more and more companies and individuals: 8000+ stars have been harvested on Github, and successful cases of nearly 100 companies. In addition, more and more enterprises and individuals have joined the open source project of Apache ShardingSphere, which has contributed tremendously to its growth and development.
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== File: docs/blog/content/material/2022_10_27_ElasticJob_3.0.2_is_released_with_failover_optimization,_scheduling_stability,_and_Java_19_compatibility.en.md
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title = "ElasticJob 3.0.2 is released including failover optimization, scheduling stability, and Java 19 compatibility"
weight = 78
chapter = true
+++
[ElasticJob](https://shardingsphere.apache.org/elasticjob), one of the sub-projects of the [Apache ShardingSphere](https://github.com/apache/shardingsphere) community, is a distributed scheduling solution oriented towards Internet applications and massive tasks.
Since ElasticJob 3.0.1 was released, we’ve received a lot of feedback from users on [GitHub](https://github.com/apache/shardingsphere-elasticjob). After merging the code committed by the contributors, ElasticJob has been significantly optimized.
The [resulting ElasticJob 3.0.2](https://github.com/apache/shardingsphere-elasticjob/blob/master/RELEASE-NOTES.md) has been improved in terms of **Failover, scheduling stability, job API, and Java 19 compatibility.**
# Release 3.0.2 Key Features
## Failover Optimization
Failover is an important ElasticJob feature.
**In ElasticJob 3.0.1, the Failover feature had some limitations and disadvantages:**
- Failover could take effect with at least two job instances. Assume that there’s only one job instance executing tasks and a fault occurs, Failover cannot take effect even if the instance recovers or a new job instance is started after the fault occurs. In this case, the old Failover feature required redundant resources. Particularly, if sharding was not needed for the job, the backup instance would be idle for a long time and continuously occupy resources.
- Failover was sensitive. Even if the job was not in execution, as long as one instance goes offline, failover of another instance would still be triggered to immediately execute the sharding owned by the offline instance. In other words, failover was triggered by the offline instance whether it is a normal offline or a fault occurs, which is disturbing for users.
**ElasticJob 3.0.2 optimized the Failover feature.**
- Suppose a single job instance is executing the tasks and it exits due to a fault in the execution process. **After a fault occurs, a new job instance is started, which can detect the failed sharding and trigger Failover immediately.** For example, we deploy a job instance with one copy in the Kubernetes environment. If the job instance exits unexpectedly due to a fault, Kubernetes automatically starts a new job instance. By this time, Failover will be triggered and continue to execute the previously failed job.
- **The optimized Failover takes effect only for ongoing jobs.** If no job is being executed when a fault occurs, Failover is not triggered. In this case, Failover will not be triggered when the job instance goes offline normally.
## Separating the event notification threads of different jobs to avoid an endless loop.
ElasticJob achieves distributed coordination through [ZooKeeper](https://zookeeper.apache.org/). In practical scenarios, users may start multiple jobs in the same project simultaneously, all of which use the same [Apache Curator](https://curator.apache.org/) client. There are certain risks due to the nature of ZooKeeper and the [callback method of Curator in a single event thread](https://cwiki.apache.org/confluence/display/CURATOR/TN1).
- Callbacks will increase accordingly if a huge number of jobs are triggered frequently. The processing capability of Curator event threads may reach an upper limit, resulting in delayed triggering or failure to trigger.
- If one job blocks the event thread accidentally, other jobs will also be affected, leading to delayed triggering or failure to trigger.
**In ElasticJob 3.0.2, the callback method of each job will be executed on the thread to which the job belongs, preventing jobs from affecting each other.**
Moreover, **ElasticJob 3.0.2 modified the code which may lead to an endless loop.** When a job instance is online and the server nodes in ZooKeeper change (such as being deleted), ElasticJob is stuck in determining whether the server is enabled. This problem has been tackled.
## Java 19 Support
Java 19 was released on September 20, 2022. ElasticJob’s code closely follows Java versions and currently can be built and used through Java 19. **Elasticjob now supports Java 8 through 19.**
# Release Notes
## Bug Fixes
- Fix itemErrorMessages not cleared after the job finished.
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== File: docs/blog/content/material/2022_03_18_Executor_Engine_Performance_Optimization_Showcase_with_Apache_ShardingSphere_5.1.0.en.md
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title = "Executor Engine: Performance Optimization Showcase with Apache ShardingSphere 5.1.0"
weight = 43
chapter = true
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Our community’s previous two blog posts about the [SQL Format function and High Availability (HA) ](https://medium.com/codex/sql-parse-format-function-a-technical-deep-dive-by-apache-shardingsphere-f5183e1de215)introduced a comprehensive overview of Apache ShardingSphere’s updates.
Apart from many new practical features, we also have been optimizing overall performance.
In this post, our community author is going to showcase with specific SQL examples how Apache ShardingSphere’s Executor Engine performance is greatly optimized.
In this post, our community author is going to showcase with specific SQL examples how Apache ShardingSphere’s Executor Engine performance is greatly optimized.
## Problem
Take the `t_order` table with 10 shards in a database as an example and `max-connections-size-per-query` uses the default configuration 1.
If the user executes the `SELECT * FROM t_order` statement, it will result in full routing. Since only one database connection is allowed to be created on the same database for each query, the underlying actual SQL results will be loaded in advance into memory for processing. This scenario not only imposes a restriction on database connection resource consumption but also occupies more memory resources.
However, if the user adjusts the value of `max-connections-size-per-query` to 10, then ten database connections can be created while executing actual SQL. Since database connections can hold result sets, no additional memory resources are occupied in this scenario. Yet, this method requires more database connection resources.
In order to better solve the issue, we optimized the performance of SQL Executor Engine in the just-released 5.1.0 version: SQL Rewriter Engine now supports optimization-oriented rewriting, which means multiple real SQL statements on the same data source can be merged through the `UNION ALL `statement.
The updates effectively reduce the consumed database connection resources in the Executor Engine and avoid occurrent memory merging, further improving SQL query performance in Online Transaction Processing (OLTP) scenarios.
## What’s the Mechanism of Apache ShardingSphere Executor Engine?
First, it’s better to review Apache ShardingSphere’s microkernel and the principle that explains how the Executor Engine works in the processes. As shown in the figure below, the Apache ShardingSphere microkernel includes core processes: SQL Parser, SQL Router, SQL Rewriter, SQL Executor, and Result Merger.
SQL Parser Engine can parse the SQL statements entered by the user and generate SQL Statements containing contextual information.
SQL Router Engine then extracts the sharding conditions according to the context, combines the sharding rules configured by the user to calculate the data source that the actual SQL needs for execution, and then generates routing results.
SQL Rewriter Engine rewrites the original SQL according to the results returned by SQL Router Engine. There are two rewrite types, correctness-oriented and optimization-oriented.
SQL Executor Engine can safely and efficiently send the SQL returned by SQL Router and Rewriter to the underlying data source for execution.
The result set will eventually be processed by Merger Engine, which can generate and return a unified result set to the user.
From the execution process, it is clear that the SQL executor engine can directly interact with the underlying database and hold the executed result set. Since the performance and resource consumption of the entire Apache ShardingSphere is attributed to those of the Executor Engine, the community decided to adopt an automatic SQL executor engine to balance execution performance and resource consumption.
In terms of execution performance, assigning an independent database connection to the execution statement of each shard can make full use of multi-threading to improve execution performance, and also process I/O consumption in parallel.
In addition, this method can also help avoid prematurely loading the query result set into memory. The independent database connection can hold a reference to the cursor position of the query result set and thus when it’s necessary to get the data, the user only needs to move the cursor.
When it comes to resource management, the number of connections for business access to the database should be limited to prevent a business from occupying too many database connection resources and further affecting the normal data access of other businesses. When there are many table shards in a database instance, a virtual SQL statement without a sharding key can generate a large number of actual SQL statements placed in different tables of the same database. If each actual SQL occupies an independent connection, then a single query will undoubtedly occupy too many resources.
In order to solve the conflict between execution performance and resource control, Apache ShardingSphere proposes the concept of `Connection Mode`. Here is the definition of `Connection Mode` in the source code.
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== File: docs/blog/content/material/2023_04_03_ShardingSphere_5.3.2_Release_Apollo_Integration,_Better_Data_Migration,_and_Stronger_Encryption.en.md
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title = "ShardingSphere 5.3.2 Release: Apollo Integration, Better Data Migration, and Stronger Encryption"
weight = 94
chapter = true
+++
Apache ShardingSphere has recently released version 5.3.2 after two months of development, which includes 797 PRs from teams and individuals worldwide. The new version includes significant improvements in functionality, performance, testing, documentation, and examples. With this update, users can experience an enhanced and problem-solving version. Let's take a quick preview of what's new:
- ShardingSphere Driver now supports Apollo, which is a great addition for users.
- Data migration now supports migrating tables with any index structure, including tables without an index, making it more convenient for users.
- The data encryption fuzzy query now supports the CONCAT function, improving the user's experience.
One of the highlights of this update is that the ShardingSphere Driver now supports Apollo. In version 5.3.0, ShardingSphere removed modules such as Spring Boot Starter and standardized the use of the standard JDBC Driver to specify configuration files. However, the ShardingSphere Driver could only read configuration from the file system, which was limited to scenarios where the configuration was managed uniformly in the configuration center. With the recent update, ShardingSphere 5.3.2 adjusted the configuration reading of the Driver to an SPI interface and achieved configuration reading from the Apollo configuration center.
The JDBC URL is written as follows:
```bash
# Read the configuration file from the absolute path
jdbc:shardingsphere:absolutepath:/path/to/config.yml
# Read the configuration file from the classpath
jdbc:shardingsphere:classpath:config/shardingsphere/config.yml
# Read the configuration file from the Apollo configuration center
jdbc:shardingsphere:apollo:apollo.meta?appid=ss-test&namespace=config
```
Of course, providing an SPI interface means that developers can customize the configuration reading logic according to their own scenarios, such as implementing configuration reading from other registration centers. At the same time, the ShardingSphere community welcomes developers to contribute to the common configuration implementation, allowing more users to benefit from it.
## Migrate Tables with Any Index Structure, Including Tables Without an Index
ShardingSphere is now providing support for migrating tables with any index structure, including tables without an index. This is a significant improvement that will greatly benefit users with complex application scenarios.
In some cases, tables may have composite primary keys, while in others, they may not have primary keys but have composite unique indexes. In some cases, tables may not have any primary keys or indexes at all. ShardingSphere has taken these complex scenarios into account and has made certain improvements to support data migration for such cases.
This is a significant step forward in providing users with more flexibility in managing their data and ensuring that their applications are running smoothly. The improved data migration support will make it easier for users to manage their data, regardless of the complexity of their table structures.
[1] Concurrency is supported between shards, but data partitioning within a table does not support concurrency.
[2] `DATA_MATCH` consistency check is not supported. `CRC32_MATCH` is only supported by MySQL.
[3] Breakpoint resume is supported only for the first field.
[4] Primary key tables of some field types can not be aggregated and sorted, so the `DATA_MATCH` consistency check is not supported, such as `VARBINARY` in MySQL.
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== File: docs/blog/content/material/committer.cn.md
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title = "成为 Apache 官方认可的 Committer 有什么优势"
weight = 5
chapter = true
+++
### 什么是Apache软件基金会？
Apache 软件基金会（Apache Software Foundation），是当今最具影响力的非盈利性开源软件项目组织，正式成立于 1999 年，主要由开发者与用户的团体组成。在 Apache 软件基金会主导下，已有 350 多个顶级开源项目毕业，包括全球最著名的网络服务器软件 Apache HTTP Server。秉持着“开放、创新、社区”的精神，很多 Apache 项目已经建立起强大成功的生态圈，社区充满活力。
除了许多在信息技术领域十分具有影响力的项目外，Apache 许可证（Apache License），Apache 贡献者协议许可（CLAs）和开放合作的模式（Apache Way）也在业内有着突出的贡献，其影响力远远扩大到 Apache 软件基金会以外。
Apache 软件基金会如今已成为现代开源软件生态系统的基石。
### 为什么要成为Apache committer？
说了这么多，不管大家之前对 Apache 软件基金会了解到了什么程度，都可以看出，这是一个极具影响力的组织，在业内广受认可。
如果能够成为一名官方承认的 committer，不仅是对自己的极大认可，表明自身有能力参与到 Apache 级的项目开发中，并作出切实的贡献；而且还能够受到业内广泛尊重，无论是对求职还是升职加薪都很有帮助。
简单来说，不管是和其他小伙伴们炫耀，还是写到简历上都倍儿有面子
并且，官方认可的 committer 还会获取带 @apache 后缀的邮箱，还能名列 Apache 网站上
（http://people.apache.org/committer-index.html）
在世界上千百万的工程师中，只有极少数的人才能成为 committer 拥有这些特权，是不是很诱人呢？
想象一下，小伙伴们浏览 Apache 网站时看到了你的名字，或者和面试官发邮件时，他们会不会有种不明觉厉的感觉，形象瞬间就高大上了有木有！
### 如何成为官方认可的 committer？
下面就是本篇文章的重点啦，需要做些什么，才会成为一名官方认可的 committer 呢？
活跃地参与到 Apache 项目中，比如 Apache ShardingSphere 即可。
不如从领个任务练练手开始？目前公布出的任务如下，欢迎领取：
- 实现使用 Inline 表达式对 Sharding-SpringBoot 进行规则配置
https://github.com/sharding-sphere/sharding-sphere/issues/1686
- 实现使用 SpringBoot 占位符方式对 Sharding-SpringBoot 进行规则配置
https://github.com/sharding-sphere/sharding-sphere/issues/1687
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== File: docs/blog/content/material/engine.en.md
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title = "How automatic executor of ShardingSphere works"
weight = 4
chapter = true
+++
Today「Analysis of Sharding-Sphere Series Articles」is brings you an introduction to the Sharding-Sphere automated execution engine module in this article. Since the boss prefers serious technical articles, I try my best to use a serious and solemn narrative style to share with you the topic of "Sharding-Sphere Automated Execution Engine Module".
I just finished writing and sorting out the code of this module, so before I forget, I would like to share this with you, hope this article will help you all.
「Analysis of Sharding-Sphere series articles」is conducted by the core development members of Sharding-Sphere to introduce and analyze the core modules of Sharding-Sphere, the cutting-edge technologies used, and valuable experience summaries. This series of articles will take you into the core world of Sharding-Sphere, gain new knowledge and inspire inspiration. I hope you will follow us, communicate and discuss with us, and we will move forward together.
### About the author
Pan Juan, as a senior DBA worked at JD.com, the responsibility is to develop the distributed database and middleware, and the automated management platform for database clusters. As a PMC of Apache ShardingSphere, I am willing to contribute to the OS community and explore the area of distributed databases and NewSQL.
### Concept introduction
Q: What is "automated execution engine"?
A: The life cycle of a SQL is: initiated from the client, processed by Sharding-Sphere, and then executed and digested in the underlying database. In Sharding-Sphere, the process is: SQL analysis-->SQL optimization-->SQL routing-->SQL rewriting-->SQL execution-->result merging. The automatic execution engine is for deal with the SQL execution problem, that is, how to control and efficiently transmit the real SQL after the route rewriting to the underlying database for execution. Doesn't it work to send SQL directly to the database for execution through JDBC? Is there anything else to consider? The answer is: there must be other considerations, otherwise I won't have to write this article. This is reflected in its "automation". The so-called "automation" is actually to balance the problem of database connection creation and result merging mode selection, in order to balance resource control and execution efficiency.
### Demand scenario
Q: Why do we need an automated execution engine?
A: In the concept introduction section, we introduced the protagonist-the automated execution engine. It is also mentioned that its automation is to balance the creation of database connections and the selection of results merge mode. This is the fate of its birth, the choice of history. The following will introduce these two issues that need to be balanced:
1. Database connection creation
As a DBA/Java coder, somehow I still consider the problem from the perspective of the DBA. For example, from the perspective of resource control, the number of connections for business parties to access the database should be limited, which can effectively prevent a certain business operation from occupying too much resources, thereby exhausting the resources of the database connection, and thus affecting other business visit. Especially when there are many sharding tables in a database instance, a logical SQL that does not contain a sharding key will generate a large number of real SQLs that fall on different tables in the same database. If each real SQL occupies an independent connection, then a query will definitely consume too many resources. As the middle layer of the database, if ShardingSphere is not controlling the number of database connections well, which leads to a surge in connections and excessive database pressure, it is very likely to be forced to “take the blame”.
2. Results merge mode selection
From the perspective of execution efficiency, maintaining an independent database connection for each fragmented query can more effectively use multithreading to improve execution efficiency. Opening independent threads for each database connection can parallelize the consumption of IO. The independent database connection can keep the reference of the query result set and the cursor position, and the cursor can be moved when the corresponding data needs to be obtained, avoiding the premature loading of the query result data into the memory. This involves the choice of the result merge mode. Through the introduction of the previous article "Analysis of ShardingSphere Series-Result Merging", we know that there are currently two modes of result merging, namely:
Streaming merge: The method of merging results by moving the result set cursor down is called streaming merge. It does not need to load all the result data into memory, which can effectively save memory resources and reduce the frequency of garbage collection.
Memory merging: Perform data comparison and merging by reading the result set loaded in the memory for merging. It needs to load all the result data into memory.
I believe everyone will definitely choose streaming merge to process the result set. However, if there is no guarantee that each shard query holds an independent database connection, then you need to load the current query result set into memory before reusing the database connection and obtaining the query result set of the next shard table. Therefore, even if stream merging can be used, it has to use memory merging in this scenario.
On the one hand, it is the control and protection of database connection resources. On the other hand, it uses a better merge mode to save memory resources. How to handle the relationship between the two is a problem that the ShardingSphere execution engine needs to solve. Specifically, if a piece of SQL needs to operate 200 tables under a certain database instance after it has been sharding by ShardingSphere, should it choose to create 200 connections for parallel execution, or choose to create a connection for serial execution? How to choose between efficiency and resource control?
### Evolutionary theory
For the above scenario, ShardingSphere provided a solution before 3.0.0.M4, which introduced the concept of Connection Mode and divided it into two modes: MEMORY_STRICTLY and CONNECTION_STRICTLY.
- MEMORY_STRICTLY: This mode is used on the premise that the database has no limit on the number of connections it can consume in a single operation. If the actual execution of SQL needs to do operations on 200 tables in a database instance, a new database connection is created for each table and processed concurrently in a multi-threaded manner to maximize execution efficiency. Streaming is preferred if SQL satisfies the conditions to prevent memory overflow or avoid frequent garbage collection.
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== File: docs/blog/content/material/result.en.md
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title = "How to merge the child resultsets"
weight = 3
chapter = true
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This series of articles is a hands-on introduction and analysis of SS's core modules, the cutting-edge technologies used, and valuable lessons learned by SS's core development members. This series of articles will take you into the world of SS kernel, to gain new knowledge and inspire. We hope you will pay attention to us, exchange ideas and go forward together.
### Lecturers
Liang Zhang, former head of Dangdang's architecture department. A passion for open source, currently leading two open source projects Elastic-Job and Sharding-Sphere (Sharding-JDBC). Specializing in java-based distributed architecture and Kubernetes and Mesos-based cloud platform direction, advocate for elegant code, more research on how to write expressive code.Joined BOF in early 2018, now as the head of data research and development. Currently, the main focus is on building Sharding-Sphere into the industry's best-in-class financial-grade data solution.
### Introduction
Combining multiple data result sets from various data nodes into one result set and returning it correctly to the requesting client is called result imputation.
The result merging supported by Sharding-Sphere is functionally categorized into four types of traversal, sorting, grouping and paging, which are combinations rather than mutually exclusive relationships. Structurally, it can be divided into streaming, in-memory and decorator grouping. Streaming and memory imputation are mutually exclusive, and decorator imputation can be further processed on top of stream imputation and memory imputation.
Since the result set returned from the database is returned one by one, it is not necessary to load all the data into memory at once, therefore, when merging the results, merging in the same way as the result set returned from the database can greatly reduce memory consumption, and is the preferred method of merging.
Streaming merge means that each time the data is fetched from the result set, the correct individual data can be returned by fetching it one by one, which is most compatible with the way the database returns the result set natively. Traversal, sorting, and Stream Group-by Merger are all types of stream imputation.
In-memory merging, on the other hand, requires that all data in the result set be traversed and stored in memory, and then after unified grouping, sorting, and aggregation calculations, it is encapsulated to return the result set of data accessed one item at a time.
The decorator merge is a unified functional enhancement of all the result set merge, currently the decorator merge only paging this type of merge.
### Categorization
#### Iteration Merger
It is the simplest form of aggregation. Simply merge multiple result sets into a one-way chain table. After iterating through the current result set in the chain table, move the chain table element back one place and continue to iterate through the next result set.
#### Order-by Merger
Due to the existence of the ORDER BY statement in SQL, each data result set is itself ordered, so only the data values that the current cursor of the data result set points to need to be sorted. This is equivalent to sorting multiple ordered arrays, and merge sorting is the most appropriate sorting algorithm for this scenario.
Sharding-Sphere compares the current data values of each result set (done by implementing Java's Comparable interface) and places them in a priority queue when the sorted queries are merged. Each time the next piece of data is fetched, simply move the cursor of the result set at the top of the queue down and find your place in the priority queue again based on the new cursor. To illustrate Sharding-Sphere's sorting and merging with an example, the following diagram shows an example of sorting by score.
The example shows 3 tables returning data result sets, each of which is already sorted according to score, but is unordered between the 3 data result sets. The data values pointed to by the current cursor for each of the 3 result sets are sorted and placed into a priority queue, with the first data value of t_score_0 being the largest, the first data value of t_score_2 the next largest, and the first data value of t_score_1 the smallest, so the priority queue is based on the t_score_0, t_score_2, and t_score_1's The following diagram shows how sorting the queue is done when the next call is made.
The following diagram shows how the sorting and merging is done when the next call is made.
As we can see from the diagram, when the first NEXT call is made, t_score_0, which is at the top of the queue, is ejected from the queue and returns the data value (i.e., 100) that the current cursor points to to the querying client, and is placed back into the priority queue after moving the cursor down one place. The priority queue is also ranked according to the data value (in this case 90) that the current result set of t_score_0 points to for the cursor, with t_score_0 ranked last in the queue according to the current value. The result set of t_score_2, which was previously ranked second in the queue, is automatically ranked first in the queue.
For a second NEXT, simply eject the t_score_2 currently at the top of the queue and return the value pointed to by its data result set cursor to the client, and move the cursor down to continue to join the queue for queuing, and so on.
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== File: docs/blog/content/material/ElasticJob.cn.md
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title = "快讯！分布式调度项目ElasticJob即将重新起航"
weight = 12
chapter = true
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[ElasticJob](https://github.com/elasticjob)是一个分布式调度解决方案，提供分布式任务的分片，弹性伸缩，全自动发现，基于时间驱动、数据驱动、常驻任务和临时任务的多任务类型，任务聚合和动态调配资源，故障检测、自动修复，失效转移和重试，完善的运维平台和管理工具，以及对云原生的良好支持等功能特性，可以全面满足企业对于任务管理和批量作业的调度处理能力。
ElasticJob自2014年底开源以来，经历了5年多的发展，以其功能的丰富性，文档的全面性，代码的高质量，框架的易用性，积累了大量的忠实用户和良好的业内口碑（5.8K star），一直也是分布式调度框架领域最受大家欢迎的项目之一。
近两年来，由于核心开发者全力发展和维护Apache ShardingSphere项目等原因，ElasticJob放缓了发展的脚步。但是随着Apache ShardingSphere项目在分布式领域的不断拓展，以及用户对于多数据集群环境的分布式管理和数据迁移的弹性扩容等功能，需要一个强大的分布式调度组件。由此为契机，Apache ShardingSphere社区已经计划发起提议将ElasticJob作为其子项目进行长期持续的更新和维护。
我们第一时间将此好消息公开，后续将带来更多关于ElasticJob的相关资讯。
> 讨论邮件：
https://lists.apache.org/thread.html/rd6171e2065be6bcfbeb7aba7e5c876eeed04db585c6ab78fc03a581c%40%3Cdev.shardingsphere.apache.org%3E
> 捐赠Proposal：
<br>https://cwiki.apache.org/confluence/display/SHARDINGSPHERE/ElasticJob+Donation+Proposal
> 社区讨论：
<br>https://github.com/elasticjob/elastic-job-lite/issues/728
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== File: docs/blog/content/material/Oct_12_3_How_Can_Students_Participate_in_Open_Source_Communities.en.md
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title = "How Can Students Participate in Open-Source Communities?"
weight = 19
chapter = true
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Having some experience in Open-Source projects or communities is quite common for developers nowadays. Actually, not only adults but students should, and are increasingly likely to get involved in Open-Source projects.
If you want to know more about why you should consider being part of Open-Source projects, please refer to [Why you should get involved in open-source community](https://medium.com/nerd-for-tech/why-should-you-get-involved-in-an-open-source-community-f5516657324) [1].
The last 2 years have been challenging to say the least. The Covid-19 pandemic has forever changed us in more ways than one. It has changed the way we approach and cheerish life, the way we work, and the way we network — ultimately making webinars or online activities the new normal.
Students have been affected too. Online learning meant they had to adapt in the way they assimilate their curricula, and also adapt to finding their first professional opportunity or internships in these unprecedented times. Online internships have been an option for students to go through this tough time by making the most of it, and gaining valuable experience. In order to connect people around the world, Google[2], Anitab[3], and ISCAS[4] are hosting many online Open-Source programs or hackathons for students. Indeed, most of them are free, and some even provide scholarships and tuition for students and mentors accordingly.
In short, students are set to gain the following benefits by joining an Open-Source community:
- Practice their skills
- Unlock internship opportunities or gain more internship experience
- Network, create bonds and cooperate with your fellows and mentors worldwide
- Earn scholarships
## The next question is how to leverage these attractive programs to join Open-Source?
Different programs have different and often specific rules, although the basic process is generally the same, i.e.:
- Choose an Open-Source project or community partnering with the relevant program
- Submit a student application
- Get in touch with your mentor
- Contribute & code (you can contribute in more ways than one, not only by coding)
- Await evaluation
- Colllect the final results
Based on these steps, Here are some critical tips from my mentoring experiences at GSoC[2], OSD[3] and Summer of Code[4] that I’m happy to share with you.
* **Choose the Appropriate Program**
As I mentioned above, many organizations are initiating Open-Source programs with different schedules, task durations, and qualification and scholarship conditions. You’d better do some research for various programs and pick the one that best fits you.
* **Choose a Particular Project Well in Advance:**
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title = "ShardingSphere 5.3.0 is released: new features and improvements"
weight = 82
chapter = true
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After 1.5 months in development, [Apache ShardingSphere 5.3.0](https://shardingsphere.apache.org/document/current/en/downloads/) is released. Our community merged [687 PRs](https://github.com/apache/shardingsphere/pulls?q=is%3Amerged+is%3Apr+milestone%3A5.3.0) from contributors around the world.
The new release has been improved in terms of features, performance, testing, documentation, examples, etc.
The 5.3.0 release brings the following highlights:
- Support fuzzy query for CipherColumn.
- Support Datasource-level heterogeneous database.
- Support checkpoint resume for data consistency check.
- Automatically start a distributed transaction, while executing DML statements across multiple shards.
Additionally, release 5.3.0 also brings the following adjustments:
- Remove the Spring configuration.
- Systematically refactor the DistSQL syntax.
- Refactor the configuration format of ShardingSphere-Proxy.
# Highlights
## **1. Support fuzzy query for CipherColumn**
In previous versions, ShardingSphere's Encrypt feature didn't support the use of the `LIKE` operator in SQL.
For a while users strongly requested adding the `LIKE` operator to the Encrypt feature. Usually, encrypted fields are mainly of the string type, and it is a common practice for the string to execute `LIKE`.
To minimize friction in accessing the Encrypt feature, our community has initiated a discussion about the implementation of encrypted `LIKE`.
Since then, we've received a lot of feedback.
Some community members even contributed their original encryption algorithm implementation supporting fuzzy queries after fully investigating conventional solutions.
?? **The relevant issue can be found** [**here**](https://github.com/apache/shardingsphere/issues/20435)**.**
?? **For the algorithm design, please refer to the** [**attachment**](https://github.com/apache/shardingsphere/files/9684570/default.pdf) **within the** [**issue**](https://github.com/apache/shardingsphere/files/9684570/default.pdf)**.**
The [single-character abstract algorithm] contributed by the community members is implemented as `CHAR_DIGEST_LIKE` in the ShardingSphere encryption algorithm SPI.
## 2. Support datasource-level heterogeneous database
[ShardingSphere](https://shardingsphere.apache.org/) supports a database gateway, but its heterogeneous capability is limited to the logical database in previous versions. This means that all the data sources under a logical database must be of the same database type.
This new release supports datasource-level heterogeneous databases at the kernel level. This means the datasources under a logical database can be different database types, allowing you to use different databases to store data.
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== File: docs/blog/content/material/2022_06_28_Cloud_native_deployment_for_a_high-performance_data_gateway_new_API_driver_Apache_ShardingSphere_5.1.2_is_released.en.md
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title = "Cloud native deployment for a high-performance data gateway + new API driver: Apache ShardingSphere 5.1.2 is released"
weight = 63
chapter = true
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Following the release of Apache ShardingSphere 5.1.1, our community integrated 1,028 PRs from contributors all over the world to bring you the latest 5.1.2 version. The new version includes a lot of improvements in terms of functions, performance, tests, documentation, examples, etc.
Standout new features include:
- ShardingSphere-Proxy Helm Chart.
- SQL dialect translation.
- Using ShardingSphere-JDBC as a Driver.
These new capabilities boosted ShardingSphere’s data gateway capability, enabling ShardingSphere to be deployed on the cloud while optimizing user experience.
In addition to the above-mentioned new features, this update also improves SQL parsing support, kernel, runtime mode, and elastic scaling support for [PostgreSQL](https://www.postgresql.org/) / [openGauss](https://opengauss.org/en/) schema, auto-scaling, transactions, and [DistSQL](https://medium.com/nerd-for-tech/intro-to-distsql-an-open-source-more-powerful-sql-bada4099211) in terms of user experience.
This post will give you an overview of the ShardingSphere 5.1.2 updates.
## New Features
**ShardingSphere-Proxy configuration using Helm**
ShardingSphere-Proxy provides Docker images for deployment in containers. However, for those who need to deploy ShardingSphere-Proxy on [Kubernetes](https://kubernetes.io/), you have to go through some procedures such as database driver mounting, configuration mounting, custom algorithm mounting, etc., which make the deployment process relatively tedious and causes high operation & maintenance costs.
This update brings the new ShardingSphere-Proxy Helm Chart, a new feature donated to the Apache ShardingSphere community by [SphereEx](https://www.sphere-ex.com/), a provider of enterprise-grade, cloud-native data-enhanced computing products, and solutions. This development allows Apache ShardingSphere to embrace ahead cloud-native computing.
ShardingSphere relies on a registry to store metadata in cluster mode, and ShardingSphere-Proxy’s Helm Chart can automatically deploy ZooKeeper clusters allowing you to quickly build ShardingSphere-Proxy clusters.
Due to the limits imposed by open source protocol, ShardingSphere-Proxy’s binary distribution package and Docker image are not packaged with MySQL JDBC driver, so users need to manually add the MySQL JDBC driver to the classpath to use MySQL as ShardingSphere’s storage node.
For such cases, ShardingSphere-Proxy Helm Chart can automatically obtain the MySQL JDBC driver in the Pod’s Init container, reducing your deployment operation costs.
**SQL dialect translation**
With increased database diversification, the coexistence of multiple types of databases is now the norm. The scenarios in which heterogeneous databases are accessed using one SQL dialect are becoming a trend.
The existence of multiple diversified databases makes it difficult to standardize SQL dialects for accessing databases, meaning that engineers need to use different dialects for different types of databases - lacking a unified query platform.
Automatically translating different types of database dialects into one dialect that can be used by back-end databases allows engineers to access all back-end heterogeneous databases using any one database dialect, significantly reducing development and maintenance costs.
Apache ShardingSphere 5.1.2 is an important step to building a highly productive data gateway. This update enables a new SQL dialect translation capability that supports dialect conversion between major open source databases.
For example, you can use a [MySQL](https://www.mysql.com/) client to connect to ShardingSphere-Proxy and send SQL based on MySQL dialect, and ShardingSphere can automatically recognize the user protocol and storage node type to complete SQL dialect translation, accessing heterogeneous storage nodes such as PostgreSQL and vice versa.
## Using ShardingSphere-JDBC as Driver
In past versions, ShardingSphere-JDBC was available for users in the form of `Datasource`. Projects or tools that do not use `Datasource`, previously would need to first be modified in order to be able to introduce ShardingSphere-JDBC, which increases development costs.
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== File: docs/blog/content/material/2022_11_15_Alibaba_Cloud’s_OpenSergo_&_ShardingSphere_release_database_governance_standard_for_microservices_-_combining_Database_Plus_and_Database_Mesh_concepts.en.md
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title = "Alibaba Cloud's OpenSergo & ShardingSphere release database governance standard for microservices - combining Database Plus and Database Mesh concepts"
weight = 79
chapter = true
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# Background
Recently, [Alibaba Cloud](https://us.alibabacloud.com/?utm_key=se_1007722888&utm_content=se_1007722888&gclid=Cj0KCQiAyMKbBhD1ARIsANs7rEE71bHtu1aPbMS_E5-awHyWwTtyRn8CfmMU0qD1eH2hKSVEIDxcxaIaAuAVEALw_wcB)'s [OpenSergo](https://opensergo.io/) and [ShardingSphere](https://shardingsphere.apache.org/) jointly released the database governance standard for microservices. By combining the [Database Plus](https://medium.com/faun/whats-the-database-plus-concepand-what-challenges-can-it-solve-715920ba65aa?source=your_stories_page-------------------------------------) and [Database Mesh](https://medium.com/faun/shardingsphere-database-mesh-4ad75bf4bac8?source=your_stories_page-------------------------------------) concepts, the two communities have standardized the existing database governance concepts, patterns, and paths, further completing the database governance ecosystem under the cloud-native environment.
***The founders of both communities expressed their opinions concerning the collaboration between the ShardingSphere community and the OpenSergo community:***
**Zhang Liang, the PMC Chair of the Apache ShardingSphere community:**
In the microservices field, the interaction and collaboration between services have been gradually perfected, but there is still no effective standard for services to access the database. Being, ShardingSphere has been continuously following the **"connect, enhance, and pluggable"** design philosophy. "Connect" refers to providing standardized protocols and interfaces, breaking the barriers for development languages to access heterogeneous databases. It's forward-looking for OpenSergo to propose the microservice-oriented governance standard and take the initiative to include database access in the standard. I'm pleased to see ShardingSphere and OpenSergo working together to build the standard for microservices which is a pivotal entrance to access databases.
**Zhao Yihao, the founder of the OpenSergo community:**
In microservice governance, in addition to the governance of the microservices itself, it is also a critical step to ensure business reliability and continuity to deal with microservices' access to databases. As a Top-Level project in the database governance field, ShardingSphere has integrated a wealth of best practices and technical experience, which complements OpenSergo. In this context, we work with the ShardingSphere community to jointly build a database governance standard from the perspective of microservices, so that enterprises can carry out unified and standardized governance and management on different data layer frameworks and traffic.
**Note:** database governance in this article includes all aspects of database governance in microservice systems. All business information and key data need a robust and stable database system as it is the most important state terminal.
# The database is increasingly vital in the microservice system
To meet flexible business requirements, the application architecture can be transformed from monolithic to service-oriented and then to microservice-oriented. In this case, the database used to store the core data becomes the focus of the distributed system.
Enterprises take advantage of microservices to separate services and adopt a distributed architecture to achieve loose coupling among multiple services, flexible adjustment and combination of services, and high availability of systems. In particular, microservices indeed have delivered enormous benefits in the face of rapidly changing businesses.
However, after services are separated, their corresponding underlying databases should also be separated to ensure the independent deployment of each service. In this way, each service can be an independent unit, finally achieving the microservices. In this context, the database is becoming increasingly complicated:
- The transformation from monolithic to microservice-oriented architecture models leads to increasingly complicated services, diversified requirements, larger scale infrastructure, complex call relations between services, and higher requirements on the underlying database performance.
- Different transactions usually involve multiple services - but it is a challenge to ensure data consistency between services.
- It is also challenging to query data across multiple services.
With most backend applications, their system performance improvement is mainly limited to databases. Particularly in a microservice environment, it is a team's top priority to deal with database performance governance. Database governance naturally becomes an indispensable part of microservice governance.
In database governance, we now mainly focus on **read/write splitting, sharding, shadow databases, database discovery, and distributed transactions**. At the same time, how to use databases and the actual database storage nodes rely on **the virtual database and database endpoint**.
In response to the above-mentioned problems, OpenSergo and ShardingSphere have assimilated the latter's database governance experience and released the **database governance standard under microservices**. By doing so, they can standardize the database governance method, lower the entry barriers of this field, and improve the business applicability of microservices.
# ShardingSphere's strategies on database traffic governance
**1. VirtualDatabase**
In database governance, whether it is read/write splitting, sharding, shadow database or encryption, audit, and access control, they all have to act on a specific database. Here such a logical database is called a virtual database, namely VirtualDatabase.
From the application's viewpoint, VirtualDatabase refers to a set of specific database access information, which can achieve governance capability by binding corresponding governance strategies.
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title = "A Practical Guide to Apache ShardingSphere’s HINT"
weight = 49
chapter = true
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## Background
[Apache ShardingSphere](https://shardingsphere.apache.org/) has gradually introduced various features based on practical user requirements, such as data sharding and read/write splitting.
The data sharding feature contains many practical sharding strategies such as Standard Sharding Strategy and Complex Sharding Strategy, and users can easily configure the corresponding sharding algorithms.
When it comes to Read/Write Splitting, Apache ShardingSphere provides users with two types called Static and Dynamic, and abundant load balancing algorithms.
Sharding and Read/Write Splitting functions of ShardingSphere are already very useful, but scenarios are ever-changing.
Take a multi-tenant case as an example: a user expects to shard data according to the tenant to which the login account belongs, but the tenant information does not exist in every business SQL. In this case, the algorithm for extracting sharding fields from SQL is not feasible.
Additionally, in most read/write splitting scenarios, users want to route queries to the secondary database for execution, but in some scenarios with a requirement for real-time operations, users want to route SQL to the primary database for execution. Currently, read/write splitting cannot meet business requirements.
Considering the above-mentioned pain points, Apache ShardingSphere created the `Hint` function to allow users to utilize different logic rather than SQL to implement forced routing or sharding.
Currently, ShardingSphere provides users with two `Hint` methods. One is a manual programming method with Java API and uses `HintManager` for forced routing and sharding. This method is very friendly to applications programmed with JDBC because developers don’t need to write too much code and can easily implement SQL-independent sharding or forced routing functions.
Based on distributed SQL ([DistSQL](https://opensource.com/article/21/9/distsql), ShardingSphere designed `SQL HINT` and `DistSQL HINT` to provide users with sharding and forced routing functions that can be implemented without coding. The method is more friendly to database administrators (DBAs).
Next, let’s take a close look at the two methods.
## Manual Programming Based on HintManager
ShardingSphere can implement the functions of forced route and sharding via the `HintManager` objects. With `HintManager`, users can complete data sharding without SQL. It also allows users to shard data or force routing more flexibly, greatly expanding user scenarios.
At the moment, with the help of `HintManager`, users can utilize ShardingSphere’s built-in or custom `Hint` algorithms to implement the sharding function, and can set specified data source or force primary database to do read/write splitting to implement the forced routing function.
I’d like to explain its basic implementation principle first to help you gain a better understanding of `HintManager`.
- **The Implementation of HintManager**
The code snippet below can help you quickly understand the principle of `HintManager`.
```java
@NoArgsConstructor(access = AccessLevel.PRIVATE)
public final class HintManager implements AutoCloseable {
private static final ThreadLocal<HintManager> HINT_MANAGER_HOLDER = new ThreadLocal<>();
}
```
As shown above, ShardingSphere implements the function of `HintManager` with `ThreadLocal`: as long as they are in the same thread, user’s sharding settings are preserved. Therefore, the user only needs to call relevant `HintManager` functions before executing SQL statements, and then ShardingSphere can obtain the sharding or mandatory routing conditions set by the user in the current thread so as to perform sharding or routing operations.
Next, let’s learn how to use it.
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title = "Why should you get involved in an Open-Source community?"
weight = 15
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You wouldn't imagine how close Open-Source projects are to you, as they have been integrated into every aspect of our lives - from the office to your home, from gyms to restaurants etc.
The saying goes something along the lines of "Open-Source projects belong to us, not me" , which explains why these projects are popular to the point that even renowned business giants are including Open-Source initiatives into their roadmap. But for us common individuals, is there a chance and need to join the Open-Source community? What's the appeal?
In this article, I will answer these questions by sharing the pros and cons. As we all know, the carrot is always better than the stick, so let's first start with the carrot.
## 1. Master a New Skill
Tired of alienating and repetitive work every day? Do you want to learn new, exciting and valuable skills?
Online courses (MOOCs) or old fashioned books are definitely great ways to improve your skillset and expand your knowledge. However, I'd like to recommend another efficient and interesting method, i.e. joining a relevant Open-Source community to learn new skills while solving real problems in a production environment.
The reason why these active Open-Source projects are so popular is that they help users solve actual issues, while at the same time meet their needs. What you'll learn won't be about memorizing knowledge or textbook content, but about stimulating your brain and critical thinking skills with real-world knowledge.
Let's take Apache ShardingSphere as an example as it's is appreciated by coders and students worldwide. Anyone will arrive to this conclusion just by considering the community data available, i.e. 14K+ GitStars, almost 5K forks, nearly 250 contributors on GitHub, and 160+ real use case scenarios. What's more, it's also a [Google Summer of Code 2021](https://summerofcode.withgoogle.com/), [Summer 2021](https://summer.iscas.ac.cn/#/?lang=en), and [Open source Day 2021](https://ghc.anitab.org/programs-and-awards/open-source-day/) partner project.
Its features such as sharding, data encryption, data scaling, shadow database for distributed loading tests etc. are borne out of real industry needs to address big data scenarios, distributed databases and high concurrency. In other words, people choose it to solve their production issues and for the possibility to provide direct feedback upstream. This back and forth model makes this community active, diverse, and flourishing.
## 2. Career Opportunities
HR departments and hiring managers nowadays routinely screen candidates' profiles and personal or professional development projects, as they view it as a practical and effective approach to select the best possible candidates. From an employer point of view, these practices make sense: GitHub can provide a more elaborate overview of your qualifications, experiences, skills, and even personality when compared to a traditional paper resume.
If the Open-Source project you are getting involved in, is widely utilized in a production environment or has an equivalent industry developed solution, you are going to be very attractive in the job market and command better opportunities.
If you ever felt stuck in rut, you may be well too familiar with the hit our confidence can take, and the newlyfound market appreciation of your skillset and professional profile will instantly provide you with the ever welcome confidence boost.
I have heard many such stories from Apache ShardingSphere contributors and committers receiving impromptu interview calls from HRs considering their continued contributions and interactions in the Open-Source community.
Besides, SphereEx is actively recruiting talent interested in a full-time Open-Source career within the distributed database middleware vertical, and Java developers. Make sure to check out available opportunities [here](https://www.linkedin.com/company/sphere-ex/jobs/).
## 3. Interests
"Yep, I did it just for fun!" - that's another reason I heard from our contributors and committers. "What I'm doing in the Open-Source community has nothing to do with my job, but that's my passion and I want to get involved in a community to exchange ideas with others. That's the reason why I'm here".
Such a simple, yet persuasive answer. The truth is that although we approach most of our professional life's issues with a profit-driven mindset, we might find that we do it without putting our "heart and soul" in it. Picking up a passion or side-project can allow you to rediscover yourself and channel positive energy into working on something you love, which in return gives you great satisfaction, thus creating a self-fulfilling circle.
Honestly, this has and still is one of my main drivers until now. Everyone is struggling with different life, work, or family issues - but goals, hopes and support from the community keep us striving and stumbling forward without quitting.
## 4. Socializing
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title = "Apache ShardingSphere is on the Stack Overflow Podcast, InfoQ and FOSDEM!"
weight = 36
chapter = true
+++
# Apache ShardingSphere is on the Stack Overflow Podcast, InfoQ and FOSDEM!
Our PMC Trista Pan, and our community contributor Yacine Si Tayeb, joined the [Stack Overflow](https://stackoverflow.blog/2022/02/11/chinas-only-female-apache-member-on-the-rise-of-open-source-in-china-ep-414/?utm_source=twitter&utm_medium=social&utm_campaign=so-podcast&utm_content=pod414.2) podcast to share about the Apache ShardingSphere ecosystem.
They shared the advantages of data sharding and how it splits a database into smaller distributed databases to spread query load across multiple servers.
During the conversation, they introduced the complexities that arise with large databases, the rise of open source in China, and how Trista’s position as the only female Apache member in China can help other women get into technology.
Our community thanks the
Stack Overflow
team for this opportunity, and for being such great hosts. Being hosted on such a great platform is both an achievement and an opportunity for us.
Our PMC team’s community building efforts continue on what has so far been a great path that included being published on InfoQ with a piece titled [“The Next Evolution of Data Sharding”](https://www.infoq.com/articles/next-evolution-of-database-sharding-architecture/) and also joining fantastic events such as [FOSDEM](http://postgresql%20distributed%20%26%20secure%20database%20ecosystem%20building/). During FOSDEM our community shared how to build a distributed & secure ecosystem with [PostgreSQL](https://www.postgresql.org/).
Check out below the episode notes, and the links to the podcast and FOSDEM’s recording of the talk.
## Podcast episode notes
ShardingSphere builds distributed data systems, making it easier for organizations to load balance massive data stores across multiple servers.
Now that open source software has taken over Western software, it’s China’s turn. Even big companies like [Baidu](https://github.com/baidu) and [Bytedance](https://github.com/bytedance) are opening up their projects.
Trista is the [only female Apache member](https://segmentfault.com/a/1190000040352390) in China, which is both an honor and a demonstration of how much work needs to be done to support women in STEM.
Link: [https://stackoverflow.blog/2022/02/11/chinas-only-female-apache-member-on-the-rise-of-open-source-in-china-ep-414/?utm_source=twitter&utm_medium=social&utm_campaign=so-podcast&utm_content=pod414.2](https://stackoverflow.blog/2022/02/11/chinas-only-female-apache-member-on-the-rise-of-open-source-in-china-ep-414/?utm_source=twitter&utm_medium=social&utm_campaign=so-podcast&utm_content=pod414.2)
## InfoQ article
We thank the InfoQ editorial team for their support, and offering to share ShardingSphere’s features and architecture with their readers.
In this piece we introduced the strengths of data sharding, and Database Plus — our concept for creating a distributed database system for more than sharding, positioned above DBMS.
Link: [https://www.infoq.com/articles/next-evolution-of-database-sharding-architecture/](https://www.infoq.com/articles/next-evolution-of-database-sharding-architecture/)
## FOSDEM recording
The FOSDEM session focused on introducing how to empower PostgreSQL thanks to the ecosystem provided by Apache ShardingSphere.
ShardingSphere’s capability to transform any DBMS into a distributed database system, and enhance it with data sharding, elastic scaling, and encryption features is unique among current open source projects.
Link: [https://fosdem.org/2022/schedule/event/postgresql_postgresql_distributed_secure_database_ecosystem_building/](https://fosdem.org/2022/schedule/event/postgresql_postgresql_distributed_secure_database_ecosystem_building/)
## Apache ShardingSphere Open Source Project Links:
[ShardingSphere Github](https://github.com/apache/shardingsphere)
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== File: docs/blog/content/material/2022_12_28_Fuzzy_query_for_CipherColumn__ShardingSphere_5.3.0_Deep_Dive.en.md
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title = "Fuzzy query for CipherColumn | ShardingSphere 5.3.0 Deep Dive"
weight = 84
chapter = true
+++
# 1. Background
[Apache ShardingSphere](https://shardingsphere.apache.org/) supports data encryption. By parsing users' SQL input and rewriting the SQL according to the users' encryption rules, the original data is encrypted and stored with ciphertext data in the underlying database at the same time.
When a user queries the data, it only fetches the ciphertext data from the database, decrypts it, and finally returns the decrypted original data to the user. However, because the encryption algorithm encrypts the whole string, fuzzy queries cannot be achieved.
Nevertheless, many businesses still need fuzzy queries after the data is encrypted. [In version 5.3.0](https://medium.com/faun/shardingsphere-5-3-0-is-released-new-features-and-improvements-bf4d1c43b09b?source=your_stories_page-------------------------------------), Apache ShardingSphere provides users with a default fuzzy query algorithm, supporting the fuzzy query for encrypted fields. The algorithm also supports hot plugging, which can be customized by users, and the fuzzy query can be achieved through configuration.
# **2. How to achieve fuzzy query in encrypted scenarios?**
## 2.1 Load data to the in-memory database (IMDB)
Load all the data into the IMDB to decrypt it; then it'll be like querying the original data. This method can achieve fuzzy queries. If the amount of data is small, this method will prove to be simple and cost-effective, while on the other hand, if the amount of data is large, it'll turn out to be a disaster.
## 2.2 Implement encryption & decryption functions consistent with database programs
The second method is to modify fuzzy query conditions and use the database decryption function to decrypt data first and then implement fuzzy query. This method's advantage is the low implementation & development cost, as well as use cost.
Users only need to slightly modify the previous fuzzy query conditions. However, the ciphertext and encryption functions are stored together in the database, which cannot cope with the problem of account data leaks.
```sql
Native SQL: select * from user where name like "%xxx%"
After implementing the decryption function: ѕеlесt * frоm uѕеr whеrе dесоdе(namе) lіkе "%ххх%"
```
## 2.3 Store after data masking
Implement data masking on ciphertext and then store it in a fuzzy query column. This method could lack in terms of precision.
```markdown
For example, mobile number 13012345678 becomes 130****5678 after the masking algorithm is performed.
```
## 2.4 Perform encrypted storage after tokenization and combination
This method performs tokenization and combination on ciphertext data and then encrypts the resultset by grouping characters with fixed length and splitting a field into multiple ones. For example, we take four English characters and two Chinese characters as a query condition:
`ningyu1` uses the 4-character as a group to encrypt, so the first group is `ning`, the second group `ingy`, the third group `ngyu`, the fourth group `gyu1`, and so on. All the characters are encrypted and stored in the fuzzy query column. If you want to retrieve all data that contains four characters, such as `ingy`, encrypt the characters and use a key `like"%partial%"` to query.
**Shortcomings:**
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title = "Book Release: “A Definitive Guide to Apache ShardingSphere” is Published Internationally"
weight = 71
chapter = true
+++
Recently, *A Definitive Guide to Apache ShardingSphere*, a technical book co-written by [Pan Juan](https://authors.packtpub.com/interview-with-trista-pan/), [Zhang Liang](https://authors.packtpub.com/interview-with-liang-jhang/), and [Yacine Si Tayeb](https://authors.packtpub.com/interview-with-yacine-si-tayeb/), core members of [Apache ShardingSphere](https://shardingsphere.apache.org/), was officially launched internationally.
As the first book that comprehensively introduces ShardingSphere and demos several design details and best practices, *A Definitive Guide to Apache ShardingSphere* was written by core contributors and the founder of the ShardingSphere project.
> **“Many developers would like to have a complete document or book to understand the design concept of ShardingSphere and how to use it effectively. That’s exactly why we wrote this book,”** said Pan Juan, one of the authors of *A Definitive Guide to Apache ShardingSphere*, in an interview with the publisher [Packt](https://www.packtpub.com/product/a-definitive-guide-to-apache-shardingsphere/9781803239422?_ga=2.37937258.852749829.1658727294-774469931.1657074273).
This book offers a quick overview of the key challenges facing DBMS in production environments. It helps users understand how to use [ShardingSphere-JDBC](https://shardingsphere.apache.org/document/current/en/overview/#shardingsphere-jdbc) and [ShardingSphere-Proxy](https://shardingsphere.apache.org/document/current/en/quick-start/shardingsphere-proxy-quick-start/) deployments, and how to quickly build and deploy a customized version of ShardingSphere using distributed database solutions, elastic scaling, [DistSQL](https://shardingsphere.apache.org/document/5.1.0/en/concepts/distsql/), integrated monitoring, database gateway, and SQL permissions, in a bid to address the pain points encountered in data management infrastructures.
# Why should ShardingSphere community users read this book?
*A Definitive Guide to Apache ShardingSphere* is written for DBAs and developers who are exploring distributed database solutions, want to learn about the Database Plus concept, and may find Apache ShardingSphere useful.
This is a technical book written for the ShardingSphere community users as well as database users in general. Readers are required to have a basic knowledge of technology, databases, relational databases, SQL, cloud computing, and data management.
- Use ShardingSphere pluggable architecture to build custom solutions.
# Why did we write a professional book about ShardingSphere?
**To introduce the strengths of ShardingSphere’s kernel, features, and architecture to more programmers.**
<p align="right">— By Zhang Liang, Apache ShardingSphere PMC Chair</p>
As the Apache ShardingSphere community has grown in the past two years, its project features and application scenarios have become increasingly diversified and many developers have applied ShardingSphere to real production scenarios.
However, a technical book that can cover the database industry, explain the development trend of the industry, and integrate the features of ShardingSphere products was needed on the market.
Following years of development, the ShardingSphere community has accumulated a large number of articles, documents, and best practice cases. But its rapid iterations create a lag in updating the documentation, which leads to incomplete documentation.
Additionally, the technical documents published on the Internet have not been systematically sorted. If a newcomer wants to use ShardingSphere and master a new project, they have to spend a lot of time reading obscure source code and scattered technical documents, which is inefficient and unfriendly to users. This will undoubtedly discourage even the most hardcore open source enthusiasts.
Therefore, a beginner book that can systematically and briefly introduce the complete features and functional ecology of ShardingSphere was due.
The book guides users from simply “making use of ShardingSphere” to “making **good** use of ShardingSphere”. It is the definitive book on the history of ShardingSphere and the project itself for both novice users and core members of the community.
Currently, ShardingSphere has reached version 5. X and transformed into a huge ecosystem guided by the Database Plus concept that provides core data enhancements for the upper layer of databases. In the coming future, its performance, stability, compatibility, and availability will be steadily further advanced.
# How to get it?
*A Definitive Guide to Apache ShardingSphere* has been officially listed on Amazon, and you can read the first chapter for free. Please refer to [ShardingSphere’s official website](https://shardingsphere.apache.org/learning.html) for details.
## ??Free Book Giveaway
To give back to the community users, ShardingSphere also launched a free book giveaway for this book. Click the following links to get a chance and win a copy!
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title = "分片利器 AutoTable：为用户带来「管家式」分片配置体验"
weight = 22
chapter = true
+++
在[《DistSQL：像数据库一样使用 Apache ShardingSphere》](https://mp.weixin.qq.com/s/fdCtxd_xYNll0_ZdAjDvCA)一文中，Committer 孟浩然为大家介绍了 DistSQL 的设计初衷和语法体系，并通过实战操作**展示了一条 SQL 创建分布式数据库表的强大能力，展现了 Apache ShardingSphere 在新形态下的交互体验。**
在前文发布后，小助手陆续收到热心读者的私信，询问使用 DistSQL 配置分片规则的细节，以及使用 YAML、Namespace 等形式的配置时，是否可以像 DistSQL 一样快速方便的完成分布式表的配置和创建？本文将为大家解答这些疑问。
**江龙滔**
SphereEx 中间件研发工程师，Apache ShardingSphere contributor。目前专注于 ShardingSphere 数据库中间件研发及开源社区建设。
## 背景
**Sharding**是 Apache ShardingSphere 的核心特性，也是 ShardingSphere 最被人们熟知的一项能力。在过去，用户若需要进行分库分表，一种典型的实施流程（不含数据迁移）如下：
图1 Sharding 实施流程示意图
在这一过程中，用户需要准确的理解每一张数据表的分片策略、明确的知晓每张表的实际表名和所在数据库，并根据这些信息来配置分片规则。
以上述分库分表场景为例，实际的数据表分布情况可能如下：
图2 8 库 * 4 表分布示意图
## 痛点
在前述的分库分表场景中，作为 **Sharding** 功能的用户，必须要对数据表的分布情况了然于心，才能写出正确的 **actualDataNodes** 规则。如上述 t_order 表对应的分片配置如下：
~~~
tables:
t_order:
actualDataNodes: ds_${0..7}.t_order_${0..3}
databaseStrategy:
standard:
shardingColumn: order_id
shardingAlgorithmName: database_inline
tableStrategy:
standard:
shardingColumn: order_id
shardingAlgorithmName: table_inline
shardingAlgorithms:
database_inline:
type: INLINE
props:
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title = "Streamlining Database Configuration with DistSQL's Export, Import, and YAML Conversion"
weight = 92
chapter = true
+++
DistSQL, which stands for Distributed SQL, is a specialized operating language exclusive to Apache ShardingSphere. This language provides users with a simplified and powerful dynamic management system that allows them to operate ShardingSphere like a traditional database.
One of the key benefits of using DistSQL is the ability to define resources and rules online without the need to modify YAML files and restart the system. This streamlines the management process and reduces the potential for errors.
As the capabilities of DistSQL have grown and users have become more familiar with it, a number of questions have been raised about its use. In this post, we'll explore some of these questions and discuss why they're relevant to today's topic.
Some of the most common questions about DistSQL include:
- Where are the rules defined by DistSQL stored?
- How to transfer a DistSQL defined configuration to a new environment when there are multiple test environments?
- How to write DistSQL syntax?
## Where are the rules defined by DistSQL stored?
When using DistSQL, a common question that arises is where the rules defined by the language are stored. The answer is that these rules are stored in the Governance Centre, which acts as a centralized repository for configuration data.
In cluster mode, users can choose to use either ZooKeeper or etcd as the Governance Centre, while standalone mode allows users to specify their own preferred persistence method. By default, DistSQL uses H2 non-persistent mode. However, it's recommended that users utilize cluster mode to take full advantage of the capabilities of DistSQL.
By storing rules in a centralized location, DistSQL makes it easier to manage and modify configurations. This enhances the overall user experience and streamlines the management process, allowing users to focus on more important tasks.
## How to transfer a DistSQL defined configuration to a new environment when there are multiple test environments?
When using DistSQL, one potential challenge that users may face is transferring data backups from the Governance Centre to a new environment. This process can be complex and time-consuming, especially if the data is stored across multiple nodes.
To address this issue, DistSQL provides an `EXPORT` syntax that allows users to export logical database configurations to YAML format. This makes it easier to migrate data to a new environment and streamlines the backup process.
Whether you're using standalone or clustered mode, the `EXPORT` syntax provides a powerful tool for managing and migrating data. By simplifying the backup process, DistSQL enhances the user experience and improves overall efficiency.
## We have a requirement to back up data on a regular basis. How to back up the configuration of the logical database? Using DistSQL definitions.
As we discussed in the previous question, using the `EXPORT` syntax in DistSQL allows users to export logical database configurations to YAML format. This functionality serves as a useful backup tool, as it enables users to easily store and migrate data to a new environment.
By exporting data as a YAML file, users can ensure that their data is safely backed up and readily available in case of any unexpected issues or system failures. This provides peace of mind and helps to ensure that important data is never lost.
Overall, the `EXPORT` syntax in DistSQL is a valuable tool that enhances the management capabilities of the language. Whether you're using it to migrate data to a new environment or simply to backup your data, the `EXPORT` syntax streamlines the process and makes it easier to manage your data with confidence.
## Does restarting the YAML format takes effect when putting it under a new ShardingSphere instance?
After exporting a YAML file using the `EXPORT` syntax in DistSQL, users have several options for loading the data back into the system. One common approach is to place the YAML file directly in the conf directory of the Proxy. However, if the Proxy is already running, a restart may be required for the changes to take effect.
A more convenient alternative is to use the `IMPORT` statement to dynamically load the data into the system. This approach allows the Proxy to write the data to the Governance Center without requiring a restart, which can save time and reduce disruptions to the system.
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title = "ElasticJob UI now supports Auth 2.0, OIDC and SAML single sign-on thanks to Casdoor"
weight = 80
chapter = true
+++
> If you're looking to add SSO to the administration console when using ElasticJob UI, this article will help you tackle this user management problem using ElasticJob UI's built-in Casdoor.
# Background
[ElasticJob UI](https://github.com/apache/shardingsphere-elasticjob-ui) is the visual admin console of [ElasticJob](https://github.com/apache/shardingsphere-elasticjob), whose target users are developers and DevOps teams rather than users. Generally, it is deployed only in the internal environment and thus its R&D focus more on its features.
Any open source project will inevitably become an object of interest for security researchers. Previously, security researchers submitted a lot of security issues on ElasticJob UI to the [Apache ShardingSphere](https://shardingsphere.apache.org/) community without considering its actual usage scenario.
After careful considerations regarding dealing with those security vulnerability reports, the community decided to stop maintaining ElasticJob UI.
The [Casdoor](https://casdoor.org/) community members noticed our discussion about stopping the maintenance of ElasticJob UI and thought it would be a loss to deactivate ElasticJob UI because of unrealistic security reports.
If ElasticJob UI would be connected to Casdoor, it would be improved in terms of authentication security and features. In this context, the Casdoor and Apache ShardingSphere community reached a consensus on collaboration.
# How to connect ElasticJob UI to Casdoor?
## Step 1: Deploy Casdoor
The source code of Casdoor is on [GitHub](https://github.com/casdoor/casdoor), and its boot mode includes development mode and production mode. The development mode is taken as an example here. Please refer to this [link](https://casdoor.org/docs/basic/server-installation) for more details.
**Backend boot mode**
```bash
go run main.go
```
**Front-end boot mode**
```bash
cd web
yarn install
yarn start
```
## Step 2: Configure Casdoor and obtain the required data
The red arrows indicate what the backend configuration requires, with "Redirect URLs" referring to the address where you perform a callback.
We also need to find the corresponding cert we selected in the cert option, such as `cert-build-in` here. A certificate is also needed.
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title = "F6 Automobile Technology’s Multimillion Rows of Data Sharding Strategy Based on Apache ShardingSphere"
weight = 31
chapter = true
+++
# F6 Automobile Technology’s Multimillion Rows of Data Sharding Strategy Based on Apache ShardingSphere
[F6 Automobile Technology](https://www.f6car.com/) is an Internet platform company focusing on the informatization of the automotive aftermarket.
It helps automotive repair companies (clients) build their smart management systems to digitally transform the auto aftermarket.
The data of different auto repair companies will certainly be isolated from each other, so theoretically the data can be stored in different tables of different databases. However, fast-growing enterprises face increasing data volume challenges: sometimes total data volume in a single table may approach 10 million or even 100 million entries.
This issue definitely challenges business growth. Moreover, growing enterprises are now also planning to split their systems into many microservices based on domains or business types, and accordingly, different databases are vertically required for different business cases.
## Why Did We Need Data Sharding?
Relational databases are bottlenecks when it comes to storage capacity, connection count, and processing capabilities.
First, we always prioritize database performance. When the data volume of a single table reaches tens of millions, and there are a relatively large number of query dimensions, system performance would still prove unsatisfactory even if we added more slave databases and optimize indexes. This meant it was time for us to consider data sharding.
The purpose of data sharding is to reduce database load stress and query time. Additionally, since a single database often has a limited number of connections, when Queries Per Second (QPS) indicator of the database is too high, database sharding is certainly needed to share connection stress.
Second, to ensure availability was another important reason. If unfortunately, an accident occurs in a single database, we’d likely lose all data and further affect all services. Database sharding can minimize risk and the negative impact on business services. Generally, when the data volume of a table is greater than 2GB or the number of data rows is greater than 10 million, not to mention that the data is also growing rapidly, we’d better use data sharding.
## What’s Data Sharding?
There are four common types of data sharding in the industry:
- Vertical table sharding: split big tables into small ones, field-based, which means less frequently used or relatively long fields are split into extended tables.
- Vertical database sharding: business-based database sharding is used to solve performance bottlenecks of a single database.
- Horizontal table sharding: distribute tables’ data rows into different tables according to some rules in order to decrease the data volume of single tables and optimize query performance. In terms of the database layer, it still faces bottlenecks.
- Horizontal data sharding: based on horizontal table sharding, distribute data into different databases to effectively improve performance, lower stress of stand-alone machine and single databases, and break the shackles of I/O, connections, and hardware resources.
## Excellent Data Sharding Solutions
1. [Sharding-JDBC](https://shardingsphere.apache.org/document/current/en/quick-start/shardingsphere-jdbc-quick-start/) (Apache ShardingSphere)
**Pros：**
- Supported by an active open source community. Now, Apache ShardingSphere 5.0 version has been released and the development iteration speed is fast.
- Proven efficacy by many successful enterprise application cases: big companies such as JD Technology and Dangdang.com have applied ShardingSphere.
- Easy deployment: Sharding-JDBC can be quickly integrated into any project without extra services deployed.
- Excellent compatibility: it can route to a single data node and perfectly support SQL.
- Excellent performance and low loss: test results can be found on the Apache ShardingSphere website.
-
**Cons：**
- Potential increase in operations and maintenance costs, and troublesome field changes and index creation after data sharding. To fix the issue, users need to deploy Sharding-Proxy that supports heterogeneous languages and is more friendly to DBAs.
- So far, the project doesn’t support data shards dynamic migration yet. Therefore, feature implementation is required.
2. [MyCat](http://mycat.sourceforge.net/)
**Pros：**
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title = "Full Link Online Stress Testing for Production Database: Apache ShardingSphere Shadow Database Feature Upgrade"
weight = 34
chapter = true
+++
# Full Link Online Stress Testing for Production Database: Apache ShardingSphere Shadow Database Feature Upgrade
## What is full link stress testing?
As the Internet industry is growing rapidly, businesses that operate with large amounts of data are seeing a rapid expansion.
Predictably, ever changing customer demand is having a significant impact on the stability of their whole systems. For example, online food delivery platforms receive most of their customer orders at noon and in the evening. Online shopping sprees and time-limited sales promotions are also good examples.
All businesses are served by a series of business systems which are distributedly deployed in different machines. “Data Plannig” cannot only ensure systems’ stability but also save costs, which are some of the major problems for technology teams.
To precisely get the right service from a specific machine, stress testing should be conducted in the production environment. This can ensure the authenticity of the environment and the data, significantly improving the precision of “data planning”.
## Shadow Database and Full-Link Stress Testing
Performing a stress test on an online business system is evidently risky. For example, data corruption or performance problems may arise.
Just imagine how it would compromise customer experience, if customers found their order has been lost or an unpaid order popped up?
Full-link online stress testing implies a significant amount of complicated work which requires cooperation between microservices and middlewares. [Apache ShardingSphere](https://shardingsphere.apache.org/) focuses on database-level solutions in full-link stress testing.
With ShardingSphere’s powerful SQL parsing capability, Apache ShardingSphere released the shadow database stress testing feature to determine shadow databases by executing SQL, and to meet the online stress testing needs in complicated business scenarios with the flexible configuration of shadow algorithms. By routing stress testing traffic to shadow databases, and normal online traffic to production database, stress testing data will be isolated and the data corruption problem is solved.
## Shadow Database Function Upgrading
Shadow database function was initially realized in version 4.1.0 by adding a logic shadow column. By parsing, executing, routing and rewriting SQL, Apache ShardingSphere deleted the shadow column and column value. Users do not need to setup or do anything during this process. They only need to modify SQL accordingly, add shadow fields and corresponding configurations.
### Two pain points occur when adding shadow column:
1. Before performing stress testings, users need to modify test-related SQL according to actual business needs.
2. SQL modification will increase implementation damage and reduce the accuracy of stress testing results. After discussion in the ShardingSphere community, we decided to upgrade shadow database functions. Apache ShardingSphere 4.1.1 GA shadow database API had relatively simple functionaloity. Whether to open shadow database is determined by corresponding values of the logicColumn.
The upgraded shadow database API of 5.0.0 GA is more powerful. Users can determine whether the shadow database function is enabled through the “enable” attribute. Configurable shadow table can determine what needs to be stress tested by means of a table, and supports multiple shadow algorithms. For example, column value matching algorithm, regular expression matching and SQL comment matching algorithm.
## Shadow Database in Practice
Online full-link stress testing diagram:
### Prepare stress testing environment:
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== File: docs/blog/content/material/2022_09_22_How_does_ShardingSphere’s_Show_processlist_&_Kill_Work.en.md
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+++
title = "How does ShardingSphere’s Show processlist & Kill Work?"
weight = 75
chapter = true
+++
For those of you who often use databases, you may wonder:
1. How do I check what SQL is currently being executed by the database, and in what state?
2. How do I terminate abnormal SQL? For instance, if a `SELECT` statement used to query a table with massive data does not carry query conditions, it would drag down the performance of the entire database. This may push to want to terminate this abnormal SQL.
In response to the above issues, [Apache ShardingSphere](https://shardingsphere.apache.org/) introduced functions such as `Show processlist` and `Kill <processID>`.
# 1. Introduction
`Show processlist`: this command can display the list of SQL currently being executed by ShardingSphere and the execution progress of each SQL. If ShardingSphere is deployed in cluster mode, the `Show processlist` function aggregates the SQL running for all Proxy instances in the cluster and then displays the result, so you can always see all the SQL running at that moment.
```mysql
mysql> show processlist \G;
*************************** 1. row ***************************
Id: 82a67f254959e0a0807a00f3cd695d87
User: root
Host: 10.200.79.156
db: root
Command: Execute
Time: 19
State: Executing 0/1
Info: update t_order set version = 456
1 row in set (0.24 sec)
```
`Kill <processID>`: This command is implemented based on `Show processlist` and can terminate the running SQL listed in the `Show processlist`.
```mysql
mysql> kill 82a67f254959e0a0807a00f3cd695d87;
Query OK, 0 rows affected (0.17 sec)
```
# 2. How do they work?
Now that you understand the functions of `Show processlist` and `Kill <processID>`, let's see how the two commands work. As the working principle behind `Kill <processID>` is similar to that of `Show processlist`, we'll focus on the interpretation of `Show processlist`.
## 2.1 How is SQL saved and destroyed?
Each SQL executed in ShardingSphere will generate an `ExecutionGroupContext` object. The object contains all the information about this SQL, among which there is an `processID` field to ensure its uniqueness.
When ShardingSphere receives a SQL command, the `GovernanceExecuteProcessReporter# report` is called to store `ExecutionGroupContext` information into the cache of `ConcurrentHashMap `(currently only DML and DDL statements of MySQL are supported; other types of databases will be supported in later versions. Query statements are also classified into DML).
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== File: docs/blog/content/material/2022_04_29_Apache_ShardingSphere_Enterprise_Applications_Zhuanzhuan’s_Transaction_System_with_100s_of_Millions_of_Records.en.md
=====================================================
+++
title = "Apache ShardingSphere Enterprise Applications: Zhuanzhuan’s Transaction System with 100s of Millions of Records"
weight = 53
chapter = true
+++
## Background and Challenges
[Zhuanzhuan](https://www.zhuanzhuan.com/index.html) is an internet platform that allows it users to sell their second-hand stuff — sort of an eBay of the East. Its business had been booming, and with it the ordering system started to face increasing performances challenges. The order database is the cornerstone of the system, and its performance should not be underestimated.
**Challenges:**
- During promotions and special discount periods the burden on databases is heaby with tens of thousands of single database queries per second (qps) taking up huge database resources, and causing a significant reduction in write performance.
- Increased data pressure, with a single database containing several large tables with hundreds of millions of data, which challenges the capacity limit of the server.
- Overwhelming data volume, and data backup and recovery take a long time, posing high risks of data loss in extreme cases.
## Why ShardingSphere?
In the beginning, ZhuanZhuan’s team took adjustment measures to ease the database pressure. Exmaples include:
**- Optimized major transactions, reduced transactions, and even eliminated transactions**
We adjusted the original transaction order by putting table generation, the core step at the end, and keeping the transaction only in the order primary database. When the operation of the main table was abnormal, dirty reads were allowed on other order-related tables.
**- Order data cache**
Data consistency was the trickiest part of the cache. As order data involved account settlements and commission, non-real-time and inconsistent data would cause serious accidents.
Strictly keeping cache data consistency would complex coding and reduce system concurrency. Therefore, we made some compromises on cache plans:
1. Allowing direct query when cache failed.
2. Adding version serial number, and querying the latest version’s data to ensure real-time data.
3. Complex queries were conducted by [Elasticsearch (ES)](https://www.elastic.co/) and primary and secondary separation, and for some large tables, we adopted hot and cold data separation.
Through these optimizations, database pressure was eased. However, it still seemed overwhelming under high concurrency scenarios, such as discount season.
To fundamentally solve the performance problem of order database, ZhuanZhuan decided to adopt data sharding (database and table splitting) on the `order` database so that we wouldn’t have to worry about order capacity in the future 3–5 years.
Zhuangzhuang chose [ShardingSphere](https://shardingsphere.apache.org/) after comparing the efficiency, stability, learning cost and etc. of different data sharding components.
Advantages of ShardingSphere:
- It provides standardized data sharding, distributed transactions and database governance, and it’s applicable in a variety of situations such as Java isomorphism, heterogeneous language and cloud native.
- It has flexible sharding strategies, supporting multiple sharding methods.
- It’s easy to integrate with other components and has a low level of transaction intrusions.
- It has extensive documentation and an active community.
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== File: docs/blog/content/material/_index.en.md
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+++
title = "Article Selections"
weight = 1
chapter = true
+++
Welcome to pick up some of article selections to read. Moreover look forward to your contribution!
1. [Following 6 months of development Apache ShardingSphere 5.0.0-beta has been officially released! ](/en/material/ss_5.0.0beta/)
2. [After years of stagnation, ElasticJob is back with the first Apache version 3.0.0-alpha](/en/material/alpha/)
3. [News! The distributed scheduling project ElasticJob is about to restart](/en/material/elasticjob/)
4. [Congratulations on graduation of Apache ShardingSphere as a Top-Level Project](/en/material/graduate/)
5. [How to construct the distributed database](/en/material/database/)
6. [Exploration and expansion of the community](/en/material/community/)
7. [Apache ShardingSphere is included in CNCF Landscape](/en/material/cncf/)
8. [Seata_AT](/en/material/seata/)
9. [The mixed open-source distributed transaction solution](/en/material/solution/)
10. [Would you like to become an Apache committer](/en/material/committer/)
11. [How automatic executor of ShardingSphere works](/en/material/engine/)
12. [How to merge the child resultsets](/en/material/result/)
13. [The quick explanation of ShardingSphere transaction module](/en/material/realization/)
14. [Revealing Sharding-Proxy —— Database Middleware Oriented DBA](/en/material/proxy/)
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== File: docs/blog/content/material/2022_05_19_Apache_ShardingSphere_Enterprise_User_Case_Zhongshang_Huimin’s_Transaction_Middle_Platform_Architecture.en.md
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title = "Apache ShardingSphere Enterprise User Case: Zhongshang Huimin’s Transaction Middle Platform Architecture"
weight = 56
chapter = true
+++
The FMCG (fast moving consumer-goods) industry can no longer meet current development requirements. The traditional way of only upgrading the end of the supply chain cannot achieve high-quality business development. [Huimin](https://huimin.cn/) focuses on order fulfillment and delivery service for over one million community supermarkets, transforming and upgrading from serving retail terminal stores to promoting the digitization of the whole FMCG industry chain.
It is committed to building a B2B2C data closed-loop operating system, providing brand owners, distributors, and community supermarkets with transformed and upgraded solutions for the whole chain covering purchasing, marketing, operation, and distribution. All these commitments cannot be fulfilled without its powerful “middle platform” system.
## Introducing the “middle platform”
Huimin began to transferred [PHP](https://www.php.net/) technology stack to the Java technology stack, and shifted to microservices from 2016 to 2017, and started to build the “middle platform” in 2018.
The phase-one project of its transaction middle platform went live in early 2021, and phase-two in March 2022.
Owing to business growth and various changes, Huimin launched a strong “middle platform” development strategy to improve efficiency and reduce costs. Measures were taken to reduce the coupling degree between systems, increase scalability, and ensure low latency while extracting business commonalities. At the beginning of 2021, the company finihsed rebuilding the previous order management system (OMS) and launched a packaged business capability project for a transaction middle platform centered on the transaction process of orders, which is divided into the following four core modules: order status flow system, order management system, order fulfillment system and order cost calculation system. At the same time, based on business stratification, the project is also split into an order query system, report system, and order management backend.
To synergize technical and business requirements during the rebuilding process, the go-live process was divided into two phases: application system splitting and data splitting.
## System splitting
R&D teams having to frequently adjust order management system and adapt it to multiple business lines may cause inefficiencies. In response to these problems, the following principles were formulated to split and rebuild the system:
1. Avoid the logic coupling of different lines of business. Different business lines should contain and minimize influence on each other to reduce logic complexity.
2. Responsibilities are divided according to the order lifecycle to ensure that each system is independent with an exclusive responsibility.
3. Read/write splitting. Ensure the stability of core functions and avoid the impact of frequent iterations on core functions.
4. [ElasticSearch](https://www.elastic.co/) was introduced to solve the external index problem, and reduce database index pressure.
## Data splitting
The purpose of data splitting is to reduce the maintenance pressure of a single table. When the amount of data reaches tens of millions, the index and field maintenance of database tables will have a great impact on the online environment. Before splitting a table, you have to consider the following questions:
1. Splitting rules: what tables are data-intensive? What about the number of splits?
2. Data read/write: how to solve the read/write problem after splitting tables?
3. Go-live solution: how to go live smoothly?
### Splitting rules
During a 3 years iteration period, the number of splits = ((amount of data added per month * 36) + Amount of historical data) / maximum amount of data in a single table.
When we use the [InnoDB](https://en.wikipedia.org/wiki/InnoDB) engine for DDL operation to maintain [Alibaba Cloud](https://www.alibabacloud.com/?spm=a2796.143805.6791778070.2.b8fa46e3JLecKh) RDS MySQL, we come up with the following results:
When the amount of data is less than 5 million, the execution time is about tens of seconds. Between 5 million and less than 10 million, the execution time is about 500 seconds; between 10 million and less than 50 million, the execution time is about 1000 seconds; and when more than 50 million, the execution time is more than 2000 seconds.
The upper limit for splitting a single table depends on the impact of a single table operation on business. Of course, some solutions can tackle the problem of table lock resulting from DDL operation. For example, dual-table synchronization and changes in table names can reduce the impact to within seconds.
The split number of the library table is preferably 2 to the power of N, which is conducive to later horizontal scaling.
### Technology selection
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== File: docs/blog/content/material/Oct_12_6_AutoTable_Your_Butler_Like_Sharding_Configuration_Tool.en.md
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+++
title = "AutoTable: Your Butler-Like Sharding Configuration Tool"
weight = 22
chapter = true
+++
## Summary
In the previous article _“An Introduction to DistSQL”_ written by Haoran Meng, the Apache ShardingSphere Committer shared the motivating reasons behind the design of DistSQL, explained its syntax system, and impressively showcased how you can use one SQL to create a sharding table.
We believe that you should be now more familair with the new capabilities Apache ShardingSphere can bring you.
Following the article’s publication, we received many messages from our readers and users. They wanted to know the details of using DistSQL to configure sharding rules, and whether they can still use DistSQL to quickly create and configure a sharding table with configs like YAML or Namespace. Today, we’d like to introduce your new sharding configuration butler AutoTable to you.
## Background
`Sharding` is the core feature of Apache ShardingSphere. We guess, your old sharding workflow (without data migration) probably looks like the one below:
**Figure 1:** Sharding Workflow
In such workflow, you have to clearly know your sharding strategies, and the actual table names and their datasources. Then, you base your sharding rules on such information.
One of the table distribution results may be 8 sharding databases each containing 4 tables.
**Figure 2:** 8 Databases * 4 Tables Distribution
## Problem
Only when you are 100% sure about the table distribution you can code the correct actualDataNodes rules. Otherwise, you may write the wrong one. The correct sharding rule in this case looks like this:
~~~
tables:
t_order:
actualDataNodes: ds_${0..7}.t_order_${0..3}
databaseStrategy:
standard:
shardingColumn: order_id
shardingAlgorithmName: database_inline
tableStrategy:
standard:
shardingColumn: order_id
shardingAlgorithmName: table_inline
shardingAlgorithms:
database_inline:
type: INLINE
props:
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== File: docs/blog/content/material/2023_02_23_ShardingSphere-Proxy_Database_Protocol_Interaction_Explained.en.md
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title = "ShardingSphere-Proxy Database Protocol Interaction Explained"
weight = 89
chapter = true
+++
Database protocols are considered relatively unknown knowledge for most developers. Generally, users and developers use databases through off-the-shelf database clients and drivers, without manipulating database protocols directly.
However, having some basic understanding of the features and processes of database protocols can help developers provide some ideas to identify troubleshooting problems when it comes to database functionality and performance issues.
In this post, we will introduce the features of commonly used open source database protocols such as MySQL and PostgreSQL, and explain how ShardingSphere-Proxy interacts with clients at the database protocol level.
# Introduction to the ShardingSphere Access Side
The Apache ShardingSphere ecosystem includes ShardingSphere-JDBC and ShardingSphere-Proxy, deployable independently or in a hybrid deployment.
They both provide standardised incremental functionality based on databases as storage nodes for a variety of application scenarios such as Java homogeneous, heterogeneous languages, cloud native and more.
ShardingSphere-JDBC is a Java-based SDK that implements the standard JDBC and is lightweight and high performance, but also has obvious limitations. Nevertheless, the limitations of ShardingSphere-JDBC in terms of access are addressed by ShardingSphere-Proxy on the access side.
- ShardingSphere-Proxy supports connections via any database client, database driver, and is not limited to JVM-based languages such as Java.
- Simplifies data management. In particular, in scenarios where data sharding or encryption is used, ShardingSphere-Proxy can be used as a unified portal to manipulate data without having to consider the actual node where the data is stored or to manually decrypt it, etc.
- Provides unified operation and maintenance control capabilities. In cluster mode, ShardingSphere-Proxy can be used to unify the management of ShardingSphere rules and configurations.
- Heavyweight operations can be performed. ShardingSphere-JDBC is in the same process as the application, where heavyweight computation and I/O operations may impact application performance, while ShardingSphere-Proxy starts as a separate process and supports horizontal scaling, and performing heavyweight operations without impacting application performance.
# Database Protocol Features
There are already a number of specific interpretations of MySQL or PostgreSQL protocols on the Internet, so we won't go into detail in this article.
This section focuses on the features of each database protocol, such as its support for Pipelining and how bulk operations are represented in the protocol.
## MySQL Protocol
The MySQL protocol is typically a “one question, one answer" protocol, e.g. to execute SQL using Prepared Statement. At the protocol level, you need to execute `COM_STMT_PREPARE` and `COM_STMT_EXECUTE` respectively.
**Image source:** [MySQL documentation](https://dev.mysql.com/doc/dev/mysql-server/latest/mysqlx_protocol_use_cases.html).
MySQL has added an X Plugin since 5.7.12, which allows MySQL to add support for document type stores while maintaining the original relational store.
The X Plugin uses a new communication protocol, X Protocol, which uses port 33060 by default and supports pipelining, i.e. the client can send a batch of commands to the client at a time, reducing the RTT (Round-trip time) associated with the “one question, one answer" model (Round-trip time).
For example, if a SQL is executed using `Prepared Statement`, at the protocol level there are `Prepare` and `Execute` steps, but at the network transport level, these two steps can be combined and sent. This can theoretically reduce the RTT by one compared to the original protocol.
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== File: docs/blog/content/material/2022_11_24_ShardingSphere-on-Cloud_&_Pisanix_replace_Sidecar_for_a_true_cloud-native_experience.en.md
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+++
title = "ShardingSphere-on-Cloud & Pisanix replace Sidecar for a true cloud-native experience"
weight = 81
chapter = true
+++
# Background
For a while, many of our blog posts have shown that [**ShardingSphere**](https://shardingsphere.apache.org/) **consists of three independent products:** [**ShardingSphere-JDBC**](https://shardingsphere.apache.org/document/current/en/overview/#shardingsphere-jdbc)**,** [**ShardingSphere-Proxy**](https://shardingsphere.apache.org/document/current/en/quick-start/shardingsphere-proxy-quick-start/)**, and ShardingSphere-Sidecar.**
As ShardingSphere has become increasingly popular, JDBC and Proxy have been used in numerous production environments, but Sidecar's status has remaining as "**under planning"**. you may have noticed this on our GitHub `READ ME` or our website.
With cloud-native gaining momentum, many enterprises are choosing to use databases on the cloud or cloud native databases. This represents an excellent opportunity for ShardingSphere-Sidecar, which is positioned as a **cloud-native database proxy in** [**Kubernetes**](https://kubernetes.io/).
However, some of you may have noticed that any mention of Sidecar has disappeared from ShardingSphere's latest documentation. Has ShardingSphere-Sidecar been canceled? What will ShardingSphere's cloud native future look like? Here's what's coming.
# What's ShardingSphere's plan for the cloud?
## Stop the R&D of ShardingSphere-Sidecar
As far as ShardingSphere users are concerned, ShardingSphere-JDBC and ShardingSphere-Proxy can already meet most requirements. ShardingSphere-Sidecar's only difference from them is in the deployment form. JDBC and Proxy are functionally identical, but each has unique advantages.
ShardingSphere-JDBC is positioned as a lightweight Java framework that provides additional services at theJava JDBC layer. With the client connecting directly to the database, it provides services in the form of `jar` and requires no extra deployment and dependence. It can be viewed as an enhanced JDBC driver, fully compatible with JDBC and all kinds of [ORM](https://stackoverflow.com/questions/1279613/what-is-an-orm-how-does-it-work-and-how-should-i-use-one) frameworks. It's targeted at developers and boasts higher performance.
ShardingSphere-Proxy is a transparent database proxy, supporting heterogeneous languages through the implementation of database binary protocol. Currently, [MySQL](https://www.mysql.com/) and [PostgreSQL](https://www.postgresql.org/) protocols are provided. Nevertheless, Proxy adds a gateway between the database and the front-end application layer, which will partially lower the performance.
**Our community recommends users to adopt a hybrid deployment mode allowing JDBC and Proxy to complement each other, maximizing ShardingSphere's advantages in terms of performance, availability and heterogeneous support.**
As you can see, it's a bit awkward for ShardingSphere-Sidecar: JDBC and Proxy are applicable to most scenarios, environments and businesses, and can complement each other, leaving little room for Sidecar to innovate. From the viewpoint of the community and its users, Sidecar is more like an extension in deployment mode, and it is not capable of enhancing ShardingSphere as a whole.
**Taking the above factors into consideration, it is more efficient to develop a patch tool for ShardingSphere that can be easily used and run in a Kubernetes environment. This way, users can deploy and use ShardingSphere in cloud native environments, while saving R&D time for the ShardingSphere community.**
## ShardingSphere's cloud solution: [ShardingSphere-On-Cloud](https://github.com/apache/shardingsphere-on-cloud)
> ShardingSphere-on-Cloud is a comprehensive system upgrade based on ShardingSphere.
ShardingSphere-Sidecar was born when Kubernetes thrived. Back then, more and more enterprises were trying to adopt cloud-native concepts. The ShardingSphere community is not an exception.
We proposed ShardingSphere-Sidecar to promote cloud-native transformation in the data field. However, since JDBC and Proxy are mature enough to deal with data governance in most scenarios, it's unnecessary to make ShardingSphere entirely cloud native.
Sidecar can indeed play a big role in certain scenarios, but it doesn't mean that we have to create a Sidecar version for each component. ShardingSphere is working on how to come up with a solution based on real cloud-native scenarios after fully integrating the cloud computing concept. That's how ShardingSphere-on-Cloud was born.
[ShardingSphere-on-Cloud](https://github.com/apache/shardingsphere-on-cloud) is capable of deploying and migrating ShardingSphere in a Kubernetes environment. With the help of [AWS CloudFormation](https://aws.amazon.com/cloudformation/), [Helm](https://helm.sh/), Operator, and Terraform (coming soon) and other tools, it provides best practices with quick deployment, higher observability, security and migration, and high availability deployment in a cloud native environment.
Please refer to [***Database Plus Embracing the Cloud: ShardingSphere-on-Cloud Solution Released***](https://medium.com/codex/database-plus-embracing-the-cloud-shardingsphere-on-cloud-solution-released-29916290ad06?source=your_stories_page-------------------------------------) for details.
## Achieving the vision of ShardingSphere-Sidecar through [Pisanix](https://www.pisanix.io/)
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== File: docs/blog/content/material/seata.en.md
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title = "Apache ShardingSphere merged Seata AT distributed transactions"
weight = 7
chapter = true
+++
### Background
Seata is a distributed transaction framework that jointly created by Ali group and Ant Financial services group. The current version of seata includes AT and TCC transaction. The goal of AT transaction is to provide incremental transaction ACID semantics under the micro service architecture, which let the users use distributed transactions just like local transactions. The core concept is the same as ShardingSphere.
GitHub: https://github.com/seata/seata
### Seata AT model
The Seata AT transaction model includes TM (Transaction manager), RM (Resource manager) and TC (Transaction coordinator).
TC is an independent service and needs to be deployed separately, but TM and RM are deployed together with business applications in the form of a jar package, they establish a long-term connection with the TC and maintain RPC communication in the whole transaction life cycle.
Among this model, the initiator of the global transaction is TM and it is responsible for the “begin” and commit/rollback of global transactions, the participant of the global transaction is RM and it is responsible for the execution and commit/rollback of branch transactions.
### SPI the distributed transaction of ShardingSphere
ShardingSphere provides a set of SPIs for accessing distributed transactions. The goal of this design is to ensure the ACID semantics of transactions after data fragmentation. The realization of distributed transactions mainly includes 2PC XA and BASE transaction. As an implementation of BASE transaction, Seata AT transaction can be seamlessly connected to the ShardingSphere ecosystem.
For 2PC XA transaction, we have integrated Atomikos, Narayana, Bitronix transaction mangers. The bottom layer of XA transaction depends on the support of specific database vendors for the 2PC XA commit protocol, usually XA protocol doing 2PL (2 phase Lock) throughout Prepare and Commit which guarantees the ACID of distributed transactions. This usually suitable for short transaction and non-cloud environments (cloud environment takes around 20ms to do next IO, 2PL will lock resources up to 40ms, so the TPS of transaction will goes down to 25/s, non-cloud environment usually only takes a few milliseconds per IO, therefore the time to lock data is relatively low) \[1\].
In terms of BASE transactions, we have now completed the integration of ServiceComb Saga. Saga has improved the performance of the overall transaction through one-phase commit plus compensation. The compensation method is roughly the same as Seata, that is, the physical SQL after fragmentation Revert is used to generate compensated SQL, but the Saga model does not support isolation levels in theory, and is suitable for businesses with high performance requirements and low consistency requirements. On the basis of one-phase commit plus compensation, Seata AT transaction supports the RC isolation level through the global lock of TC, which is another implementation between XA and Saga. In terms of flexible news affairs, you are also welcome to refer to our SPI to provide integrated solutions.
### Integrated solution
When integrating Seata AT transactions, we need to integrate TM, RM and TC models into the ShardingSphere distributed transaction SPI ecosystem. For database resource, Seata allows JDBC operations to communicate with TC through RPC by docking with DataSource interface. Similarly, ShardingSphere also integrate physical DataSource that configured by the user into DataSource interface. Therefore, after the physical DataSource is repacked as Seata’s DataSource, Seata AT transactions can be integrated into ShardingSphere’s Shards.
In the model of Seata, the context of global transaction is stored in thread variable, the transfer between thread variables can be completed by extending the transport between services, branch transaction determines whether or not join in entire Seata global transaction by thread variable. The sharding execution engine of ShardingSphere is usually executed in multiple threads. Therefore, when integrating Seata AT transactions, it is necessary to extend the transaction context transfer of the main thread and the sub-threads, which is exactly the same as the context transfer idea between services.
### Quick start
We have implemented base-seata-raw-jdbc-example, you can have a try on your own.
https://github.com/apache/incubator-shardingsphere-example/tree/dev/sharding-jdbc-example/transaction-example/transaction-base-seata-example/transaction-base-seata-raw-jdbc-example
Operation Manual
1. Follow the steps in seata-work-shop, download and start seata server.
https://github.com/seata/seata-workshop
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== File: docs/blog/content/material/Jan_28_Blog_PG_Create_a_Distributed_Database_Solution_Based_on_PostgreSQL_&_openGauss.en.md
=====================================================
+++
title = "Create a Distributed Database Solution Based on PostgreSQL/openGauss"
weight = 28
chapter = true
+++
# Create a Distributed Database Solution Based on PostgreSQL/openGauss
As the MySQL ShardingSphere-Proxy is becoming mature and widely accepted, ShardingSphere is also focusing on the PostgreSQL ShardingSphere-Proxy.
Compared with the alpha and beta, lots of improvements such as PostgreSQL agreement realization, SQL support and control, have been made in ShardingSphere-Proxy 5.0.0. This lays the foundation for full docking with the PostgreSQL ecosystem in the future. The ecosystem integration of ShardingSphere-Proxy and PostgreSQL provides users, on the basis of PostgreSQL database, with transparent and enhanced capabilities, such as: data sharding, read/write splitting, shadow database, data masking and data desensitization as well as distributed governance.
Besides PostgreSQL, the open source database openGauss, which is developed by Huawei, is also gaining increasing popularity. With the capability and ecosystem of Shardingsphere openGauss, which enjoys outstanding standalone performance, it’ll be possible to create distributed database solutions that meet the needs of increasingly diversified scenarios.
Currently, ShardingSphere PostgreSQL and openGauss Proxy supports most capabilities of the Apache ShardingSphere ecosystem, including data sharding, read/write splitting, shadow database, data masking/desensitization and distributed governance. Therefore, it’s almost as mature as the ShardingSphere MySQL Proxy.
This article will introduce improvements to the ShardingSphere-Proxy 5.0.0 built on PostgreSQL and its ecosystem integration with openGauss.
## Introduction to ShardingSphere-Proxy
ShardingSphere-Proxy is an adapter in the ShardingSphere ecosystem and is positioned as a transparent database proxy to users. ShardingSphere Proxy is not limited to Java. Instead, it realizes MySQL and PostgreSQL database protocols, and users can use various clients compatible with MySQL / PostgreSQL protocols to access and manipulate data.
| | ShardingSphere-JDBC | ShardingSphere-Proxy |
| :--- | :----: | ---: |
| Database | Any | Databases based on MySQL / PostgreSQL protocol |
| Connected Consumption | High | Low |
| Heterogeneous Language | Support Java among other JVM-based languages | Any |
| Performance | Low loss | Relatively high loss |
| Decentralization | Yes | No |
| Static Entry | No | Yes |
> ShardingSphere-Proxy is capable of addressing the following problems: with sub-database, sub-table or other rules in place, the data will be distributed to multiple database instances, which will inevitably cause some inconvenience to management; or when non-Java developers need the capabilities provided by ShardingSphere…this is exactly what ShardingSphere-Proxy was built for.
ShardingSphere-Proxy hides the back-end database. For the client, it’s just like using a database. Users don’t need to worry about how ShardingSphere coordinates the databases behind it. Therefore, it is more friendly to non-Java developers or DBAs.
Protocol-wise, ShardingSphere PostgreSQL Proxy realizes most Extended Query protocols and supports heterogeneous languages to drive and connect Proxy through PostgreSQL and openGauss. Based on reusing the PostgreSQL protocol, ShardingSphere openGauss Proxy also supports openGauss’s unique function of batch insertion protocol.
However, since ShardingSphere-Proxy has an extra layer of network interaction compared to ShardingSphere-JDBC, the delay of SQL execution increases, and the loss is slightly higher than that of ShardingSphere-JDBC.
## ShardingSphere-Proxy and PostgreSQL Ecosystem Integration
Simple Query and Extended Query are the most common protocols for most users using PostgreSQL. For instance, when using the following command line tool `psql` to connect PostgreSQL for CRUD operation, the Simple Query is often used to interact with the database.
`$ psql -h 127.0.0.1 -U postgres
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== File: docs/blog/content/material/2022_05_10_What’s_the_Database_Plus_concept_and_what_challenges_can_it_solve.en.md
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+++
title = "What’s the Database Plus concept and what challenges can it solve?"
weight = 54
chapter = true
+++
## Background
For a long time, unification or fragmentation were the two most popular predictions for the future of databases. With the advance of digitization, a single scenario cannot meet the needs of diversified applications — making database fragmentation an irreversible trend. While [Oracle](https://www.oracle.com/index.html), the commercial database with the largest market share, has no obvious weaknesses, all sorts of new databases are still entering the market. Today, over [300 databases are ranked on DB-Engines](https://db-engines.com/en/ranking).
An increasing number of application scenarios has exacerbated database fragmentation, making database architecture, protocols, functions, and application scenarios increasingly diversified. In terms of database architecture, the centralized database which is evolved from a single-machine system coexists with the new generation of native distributed databases. In terms of database protocols, [MySQL](https://www.mysql.com) and [PostgreSQL](https://www.postgresql.org), two major open source ecosystems, as well as the service ecosystems provided by depending vendors, also have a foothold in the global database system.
Today, it is normal for enterprises to leverage diversified databases. In my market of expertise, China, in the Internet industry, MySQL together with data sharding middleware is the go to architecture, with [GreenPlum](https://greenplum.org), [HBase](https://hbase.apache.org), [Elasticsearch](https://www.elastic.co/cn/), [Clickhouse](https://clickhouse.com) and other big data ecosystems being auxiliary computing engine for analytical data. At the same time, some legacy systems (such as [SQLServer](https://www.microsoft.com/en-us/sql-server/sql-server-downloads) legacy from .NET transformation, or Oracle legacy from outsourcing) can still be found in use. In the financial industry, Oracle or DB2 is still heavily used as the core transaction system. New business is migrating to MySQL or PostgreSQL. In addition to transactional databases, analytical databases are increasingly diversified as well.
When i claim that fragmentation is an irreversible trend for the database field, i base my assumptions on the above trends. A single type of database can only be applied to a certain (or a few scenarios at best)in which it excels.
## Problems with database fragmentation
With the increasing variety of databases used by enterprises, various problems and pain points also arise.
### 1. Difficulties in architecture selection
To meet flexible business requirements, the application architecture can be transformed from monolithic to service-oriented and then to microservice-oriented. In this case, the database used to store the core data becomes the focus of the distributed system.
Compared with stateless applications, it is all the more difficult to design a stateful database. Divide-and-conquer is the best practice for distributed systems. Obviously, database systems cannot respond to all service requests with a single product and an integrated cluster.
**First of all, a single database category is unable to meet all kinds of business application needs, while maintaining high throughput, low latency, strong consistency, operation and maintenance efficiency, and even stability.** It is less likely that a single application requires the coexistence of multiple databases, but the likelihood of multiple applications requiring multiple databases is much higher.
**Secondly, no matter if we’re talking about standalone databases or All-in-One distributed database clusters, it is difficult to become the only storage support for the backend of many micro-service applications.** Standalone databases cannot carry the increasing amount of data and traffic, so more and more applications choose to adopt distributed solutions. However, if multiple applications use a unified database cluster, the load on CPU, memory, disks, and network cannot be completely isolated. In this case, one application’s excessive resources consumption may lead to quality of service degradation for many unrelated applications.
Today, most distributed databases are expensive to build, requiring backup and redundant standalone servers at the compute node, storage node, and governance nodes. Building an independent distributed database for each micro-service will inevitably lead to unnecessary resource consumption and ultimately become unsustainable for enterprises.
**Finally, a large number of enterprises adopt a unitized architecture.** Based on the data sharding solution, the split and unification of databases are completed on the application side. As the number of databases increases, the complexity of the architectural design increases exponentially. In the long run, the dev team will be unable to focus on R&D, but will have to dedicate a lot of energy to the maintenance of the underlying components. Although the data sharding feature of [Apache ShardingSphere](https://shardingsphere.apache.org) can solve related problems, it can only support the horizontal sharding for a single category of database, which is far from enough in the case of increasingly diversified databases.
### 2. Numerous technical challenges
When the coexistence of fragmented databases becomes the norm, the development costs and learning curve for R&D teams will inevitably increase constantly. Although most databases support SQL operation, there are still a lot of differences between databases in terms of SQL dialects.
If each database needs to be refined, it will take up a lot of energy of R&D teams, and the accumulated knowledge and experience are hard to be passed on. If we use the heterogeneous database with a coarse-grained standard model, it will annihilate the characteristics of the database itself.
### 3. High operation & maintenance complexity
It takes a lot of time and practical experience to master the characteristics of various databases and formulate effective operation and maintenance specifications. In addition to the most basic operation and maintenance work, the database peripheral supporting tools are also very different. Monitoring, backup, and other automated operation and maintenance work composed of peripheral supporting tools will incur substantial operation and maintenance costs.
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== File: docs/blog/content/material/2022_03_11_Asia’s_E-Commerce_Giant_Dangdang_Increases_Order_Processing_Speed_by_30%_Saves_Over_Ten_Million_in_Technology_Budget_with_Apache_ShardingSphere.en.md
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+++
title = "Asia’s E-Commerce Giant Dangdang Increases Order Processing Speed by 30% — Saves Over Ten Million in Technology Budget with Apache ShardingSphere"
weight = 41
chapter = true
+++
> Apache ShardingSphere is an easy-to-use and stable product, making Dangdang’s warehouse management system (WMS) even more powerful. Integrated with WMS, ShardingSphere plays a vital role in reforming the supply chain system.
> - Li Yong, Head of WMS Technology, Dangdang
Ffollowing [Apache ShardingSphere 5.0.0 GA](https://medium.com/codex/apache-shardingsphere-5-0-0-new-features-middleware-to-ecosystem-evolution-e69de00bfb1b) release in November 2021, the [5.1.0 version](https://shardingsphere.medium.com/apache-shardingsphere-5-1-0-now-avaliable-4244ac470e77) was released last month. Having gone through over two years of polishing, ShardingSphere’s plugin-oriented ecosystem is beginning to take shape, and the project embarks on the evolution from a simple data sharding middleware to a mature distributed database ecosystem driven by the concept of [Database Plus](https://www.infoq.com/articles/next-evolution-of-database-sharding-architecture/).
Dangdang, established at the end of 1999, has become a leading e-commerce platform selling books of any kind, and by integrating new Internet technologies with the traditional book industry. Dangdang was founded during the surge in China’s Internet industry in the early 2000s.
Later, the e-commerce industry became exremely competitive in the country, and the market saturated. Facing fierce market competition, e-commerce platforms had to adapt to remain competitive.
In response, Dangdang not only adjusted its business strategies and management approaches, but also upgraded its technology architecture. Dangdang didn’t have its warehouse management and transportation system at that time. However, with growing business volume and technological capabilities, Dangdang needed to rebuild its warehouse management system and transportation management system (TMS) to better satisfy its business needs. For instance, in terms of hardware, it replaced mini-computer with x86, while its old centralized system was transformed to a distributed system with more flexibility.
One of the biggest challenges was massive warehousing data storage. The engineers wanted to adopt the data sharding technology that was often chosen by other big Internet companies. Disappointingly, they failed to find a mature and versatile open source database middleware in the marketplace, and therefore,started to develop a new data sharding product. That’s the origin of Sharding-JDBC. The product was created to bring more possibilities to data services.
Dangdang released its new WMS five years ago, which meant that it completed its intelligent warehousing transformation. Since then, with Apache ShardingSphere, the WMS has enabled Dangdang to hold large online shopping events every year such as Dangdang’s April Reading Festival, Double-Eleven Online Shopping Festival (aka Singles Day), and Mid-Year Shopping Festival, and to manage over a dozen of smart warehouses.
## Business Challenges
When Dangdang adopted a third-party WMS, the database in use was [Oracle](https://www.oracle.com/index.html) based on [IBM](https://www.ibm.com/docs/en/informix-servers/14.10?topic=strategies-what-is-fragmentation) minicomputers.
However, considering the increasing business volume and warehouse order requests, especially during the online shopping festivals, the traditional centralized database architecture of the old WMS became inadequate because the computing and storage capabilities were limited. Additionally, the scale-up solution couldn’t support the system during online shopping festivals, and therefore the developers must do scale-up and adjust the business layer several times to alleviate the storage and computing limits and avoid production risks.
- **Limited computing and storage capabilities**
A centralized architecture is less scalable, making database computing and storage capabilities become the bottleneck.
- **Expensive development and maintenance cost**
Because of poor scalability, developers have to make concessions and scale-up, which increases system development and maintenance costs.
- **Exclusiveness**
If the architecture is not open enough, the system is less flexible, with fewer functions, and difficult to be transformed. The current architecture makes it difficult to quickly adopt new business services such as cloud native ones, SQL audit, data encryption, and distributed governance.
## The Solution
Based on the situation described above, Dangdang’s tech team proposed a warehouse management system solution: in terms of hardware, IBM minicomputer would be replaced with all-purpose x86, and [MySQL](https://www.mysql.com/) would replace Oracle.
However, at that time, there wasn’t a versatile and mature enough open source database middleware living up to Dangdang’s expectations, so they created one and named it Sharding-JDBC.
[ShardingSphere-JDBC](https://shardingsphere.apache.org/document/current/en/concepts/adaptor/#shardingsphere-jdbc) is positioned as a lightweight Java framework that provides additional services at the Java Database Connectivity (JDBC) layer. It is lightweight, efficient, easy to use, and compatible.
With ShardingSphere providing services in the form of the `.jar` files package, users can connect the client directly to the database without additional deployment and dependencies. It can be seen as an enhanced JDBC driver, fully compatible with JDBC and all ORM frameworks.
- Compatible with JDBC and any JDBC-based ORM framework such as JPA, Hibernate, Mybatis, Spring JDBC Template.
- Supports all third-party database connection pools such as DBCP, C3P0, BoneCP, HikariCP, etc.
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title = "How to Run SQL Trace with ShardingSphere-Agent"
weight = 100
chapter = true
+++
[Apache ShardingSphere](https://shardingsphere.apache.org/), a data service platform that follows the Database Plus concept for distributed database systems, offers a range of features, including data sharding, read/write splitting, data encryption, and shadow database. In production environment, especially in data-sharding scenarios, SQL tracing is critical for monitoring and analyzing slow queries and abnormal executions. Therefore, a thorough understanding of SQL rewriting and query execution is crucial.
## What is ShardingSphere-Agent
[ShardingSphere-Agent](https://shardingsphere.apache.org/document/current/en/reference/observability/) provides an observable framework for ShardingSphere. It is implemented based on Java Agent technology, using Byte Buddy to modify the target bytecode and weave them into data collection logic. Metrics, tracing and logging functions are integrated into the agent through plugins to obtain observable data of system status. Among them, the tracing plugin is used to obtain the tracing information of SQL parsing and SQL execution, which can help users analyze SQL trace when using [Apache ShardingSphere-JDBC](https://shardingsphere.apache.org/document/current/en/user-manual/shardingsphere-jdbc/) or [Apache ShardingSphere-Proxy](https://shardingsphere.apache.org/document/current/en/user-manual/shardingsphere-proxy/).
This post will take ShardingSphere-Proxy as an example to explain how to use ShardingSphere-Agent for SQL tracing.
## Two Basic Concepts You Need to Know
Before starting with the article, here are two important concepts that need to be paid attention to first:
* Span: the basic unit in a trace. A span is created for each call in the trace and ideentified by a unique ID. Spans can contain some customized information such as descriptive information, timestamps, key-value pairs, etc.
* Trace: the collection of spans with a tree structure. In ShardingSphere-Proxy, a trace represents to the full execution process of a SQL statement.
When running a SQL statement in ShardingSphere-Proxy, it goes through parsing, routing, rewriting, execution, and merging. Currently, tracing has been implemented in two critical steps: parsing and execution — with execution oftentimes being the focus. In the execution stage, Proxy will connect to the physical database to execute the actual SQL. Therefore, the information obtained during this stage provides important evidence for troubleshooting issues and fully reflects the correspondence between logical SQL and actual SQL after rewriting.
In ShardingSphere-Proxy, a trace consists of three types of spans:
<table>
<tr>
<td>Span
</td>
<td>Description
</td>
</tr>
<tr>
<td><code>/ShardingSphere/rootInvoke/</code>
</td>
<td>This span indicates the complete execution of an SQL statement, and you can view the amount of time spent on executing an SQL
</td>
</tr>
<tr>
<td><code>/ShardingSphere/parseSQL/</code>
</td>
<td>This span indicates the parsing stage of the SQL execution. You can view the parsing time of an SQL and the SQL statements. (It is not available when a <code>PreparedStatement</code> is used.)
</td>
</tr>
<tr>
<td><code>/ShardingSphere/executeSQL/</code>
</td>
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title = "How to Develop Your Distributed SQL Statement in Apache ShardingSphere"
weight = 30
chapter = true
+++
# How to Develop Your Distributed SQL Statement in Apache ShardingSphere
In the previous articles ["An Introduction to DistSQL"](https://opensource.com/article/21/9/distsql) and ["Integrating SCTL Into DistSQL’s RAL— Making Apache ShardingSphere Perfect for Database Management"](https://dzone.com/articles/integrating-sctl-into-distsqls-ral-making-apache-s), the Apache ShardingSphere Committers shared the motivations behind the development of DistSQL, explained its syntax system, and impressively showcased how you can use just one SQL to create a sharding table.
Today, to help you gain a better understanding of DistSQL and develop your own DistSQL syntax, our community author analyzes the design & development process of DistSQL and showcases how you can implement a brand new DistSQL grammar in four stages of the development life cycle (i.e. demand analysis, design, development & testing).
## What is DistSQL?
Like standard SQL, DistSQL or Distributed SQL is a built-in SQL language unique to ShardingSphere that provides incremental functional capabilities beyond standard SQL. Its design purpose is to empower resource and rule management with SQL operation capabilities. For more information about DistSQL, please read [“Build a data sharding service with DistSQL”](https://opensource.com/article/21/9/distsql).
## Why do you need DistSQL?
Redefining the boundary between middleware & database, and allowing developers to leverage [Apache ShardingSphere](https://opensource.com/article/21/9/distsql)as if they were using a database natively is DistSQL’s design goal.
Therefore, DistSQL provides a syntax structure and syntax validation system similar to standard SQL, to avoid a steep learning curve. Another advantage of DistSQL is its ability to manage resources and rules at the SQL level without configuration files.
## How to develop DistSQL?
### Preparation
**Toolkit**
1. ANTRL4 is a tool that translates your grammar to a parser/lexer in Java (or another target language). It’s used as a parser. You need to configure it before starting to develop your DistSQL. Want to get started with ANTLR 4? Please refer to this [ANTRL4 Concise Tutorial] (https://wizardforcel.gitbooks.io/antlr4-short-course/content/)
2. IntelliJ IDEA is an integrated development environment written in Java for developing computer software. You also need the plug-in [ANTLR v4] (https://plugins.jetbrains.com/plugin/7358-antlr-v4) to test the grammar rules defined by ANTRL4.
+ First, choose the right Test Rule:
+ Input the statement to be verified in ANTLR Preview:
You need to know the DistSQL execution process as well as the basics of synatics and plug-ins. The complete DistSQL execution process is truly complicated, but the awesome architecture of ShardingSphere allows developers to develop DistSQL features without having to pay attention to the whole process.
However, you still need to take care of the following core procedures:
_Note: Here, we take data sharding as an example. Be aware that different features have different visitors._
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title = "User Case: China Unicom Digital Technology - Ensuring Stability, Efficiency, and Replicability at Scale"
weight = 68
chapter = true
+++
China Unicom Digital Tech is the subsidiary of [China Unicom](https://www.chinaunicom.com.hk/en/global/home.php), a global leading telecommunication operator with over 310 million subscribers as of 2021.
The company integrates with China Unicom’s capabilities such as cloud computing, Big Data, IoT, AI, blockchain, and security and touches on smart city, industrial internet, ecological protection, cultural tourism, and other fields.
Unicom Digital Tech has accumulated a large number of industry benchmark cases and successfully provided customers with diverse and professional products & services.
## Background
In recent years, dozens of service hotline platforms have been launched with the help of Unicom Digital Tech, in a bid to improve enterprise and government services.
The service hotlines are characterized by high concurrency and large amounts of data. Every time we dial a hotline, a work order record is generated. The business volumes of a hotline during the epidemic have increased several times compared to the past.
In the work order module of the government or emergency services hotlines, to meet the business needs of massive amounts of data and high stability, Unicom Digital Tech adopts [ShardingSphere](https://shardingsphere.apache.org/) to carry out sharding and store work order information.
## Business challenges
Government service hotlines are the main channel through which the government interacts with enterprises and the public. It provides 24/7 services for the public through a single telephone number.
In addition to dealing with work orders, it also involves services such as telephone traffic, Wiki, voice chat, etc.
In the system planning stage, the database layer is the cornerstone of the business system, so the technology selection process is crucial. System stability is a hard indicator, followed by performance, which directly affects the hotline’s service capability.
At the same time, it should allow for easy maintenance and management, and facilitate system upgrades and backend maintenance.
The hotline service raises the following requirements for database architecture selection:
- Maturity and stability
- High performance
- Easy maintenance
- Low coupling of business code
## Why did Unicom Digital Technology choose ShardingSphere?
The technical team conducted several rounds of research and tests in terms of stability, features, access mode, and product performance, and they finally choose the “ShardingSphere + [MySQL](https://www.mysql.com/)” distributed database solution.
- **Advanced concept**
An increasing number of application scenarios have exacerbated database fragmentation. [Database Plus](https://faun.pub/whats-the-database-plus-concepand-what-challenges-can-it-solve-715920ba65aa) is designed to build an ecosystem on top of fragmented heterogeneous databases and provide enhancements capability for the database.
Additionally, it can prevent database binding, achieve independent control, add more features to the original database, and improve the overall feature ceiling of the data infrastructure.
- **Maturity and stability**
The ShardingSphere project started in 2016. Following years of R&D and iterations, the project has been polished and has proven its stability, maturity, and reliability in multiple Internet scenarios.
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== File: docs/blog/content/material/solution.en.md
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title = "The mixed open-source distributed transaction solution"
weight = 6
chapter = true
+++
### Author
Liang Zhang, Leader of Data R&D of JD.com, initiator & PPMC of Apache ShardingSphere.
Love open source, currently leading open source project ShardingSphere (formerly known as Sharding-JDBC) and Elastic-Job. Good at using Java as the popular distributed architecture and Kubernetes and Mesos as the popular cloud platform, admiring elegant codes, and having more research on how to write expressive codes.
At present, focus on improving ShardingSphere to be the industry's first-class financial data solution. ShardingSphere has entered the Apache Incubator, is the first open source project of the Jingdong Group to enter the Apache Software Foundation, and is also the first distributed database middleware of the Apache Software Foundation.
---
Ning Jiang, Technical expert of Huawei Open Source Competency Center, project leader of Apache ServiceComb. Former chief software engineer of Red Hat Software. He has more than ten years of experience in enterprise-level open source middleware development, rich experience in Java development, and also is the enthusiast of functional programming. Since 2006, he has been engaged in the development of the Apache open source middleware projects, and has participated in the development of Apache CXF, Apache Camel, and Apache ServiceMix. He has in-depth research in the micro-service architecture, such as WebServices, Enterprise Integration Pattern, SOA and OSGi.
Blog site：https://willemjiang.github.io/
---
Zheng Feng is a software engineer at Red Hat, joined Red Hat Software in 2009, mainly engaged in the work of the transaction manager. As a core developer, he participated in the Narayana and BlackTie projects. He had contributed to the integration of transaction processing of multiple application servers (Wildfly, Karaf, Tomcat) and frameworks (Common DBCP, Spring Boot ). Since 2017, he has participated in the Apache ServiceComb project and is currently a member of PMC. He has in-depth research on distributed transaction processing and transaction processing in a micro-service environment.
### Guide
Compared with the gradual maturity of data sharding, distributed transaction that combine performance, transparency, automation, strong consistency, and can be applied to various application scenarios, the solutions are applicable to all of them are very rare. Based on the performance bottlenecks of distributed transactions submitted in two (three) phases and the business transformation of flexible transactions, distributed transactions are still a headache for architects.
At the beginning of 2019, Apache ShardingSphere (Incubating) provided a rigid and flexible integrated distributed transaction solution. If your application system is being troubled by this aspect, why not pour a cup of coffee and spend ten minutes reading this article, maybe you will gain something?
### Background
Database transactions need to meet the four characteristics of ACID (Atomicity, Consistency, Isolation, Durability).
- Atomicity Refers to the execution of the transaction as a whole, either all or no execution.
- Consistency Refers to the transaction should ensure that the data changes from one consistent state to another consistent state.
- Isolation When multiple transactions are executed concurrently, the execution of one transaction should not affect the execution of other transactions.
- Durability Refers to the committed transaction modification data will be persisted.
In a single data node, the transaction is limited to the access control of a single database resource, called local transaction. Almost all mature relational databases provide native support for local transactions. However, in a distributed application environment based on micro-services, more and more application scenarios require that access to multiple services and corresponding multiple database resources can be incorporated into the same transaction, then the distributed transactions emerge as the times require.
Although the relational database provides perfect ACID native support for local transactions. But in a distributed scenario, it has become a shackle in system performance. How to make the database meet the characteristics of ACID or find corresponding alternatives in a distributed scenario is the focus of distributed transactions.
#### Local transaction
Without opening any distributed transaction manager, let each data node manage its own transaction. There is no coordination and communication between them, and they do not know each other's success of other data node transactions. There is no loss in performance for local transactions, but it is inadequate in terms of strong consistency and eventual consistency.
#### Two-phase commit
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== File: docs/blog/content/material/Nov_23_1_Integrate_SCTL_into_RAL.en.md
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+++
title = "Integrating SCTL into RAL"
weight = 27
chapter = true
+++
# Integrating SCTL into RAL
In the previous article [“An Introduction to DistSQL”](https://shardingsphere.apache.org/blog/en/material/jul_26_an_introduction_to_distsql/) written by Haoran Meng, the Apache ShardingSphere Committer shared the motivating reasons behind the design of DistSQL, explained its syntax system, and impressively showcased how you can use one SQL to create a sharding table.
Recently, the ShardingSphere community has redesigned the SCTL grammar and the execution engine, integrating SCTL into the DistSQL syntax system. Now RAL contains the old SCTL function, making ShardingSphere's command language even more convenient for database management. Today, our community author would like to introduce the changes and elaborate on how you can use the new RAL command lines. We always pursue better user experience, and the upgrade we developed this time is just another typical example.
## Review: What's RAL?
RAL is a subtype of DistSQL. DistSQL contains three types: RDL, RQL and RAL.
- Resource & Rule Definition Language (RDL)：to create, modify or delete resources and rules.
- Resource & Rule Query Language (RQL): to query and display resources and rules.
- Resource & Rule Administration Language (RAL): to control senior functions of resources and rules management.
## What's SCTL?
ShardingSphere Control Language (SCTL) is the command language of Apache ShardingSphere to execute a series of operations on enhanced features such as Hint, transaction type switch and sharding execution query.
SCTL is made of the below commands：
| Command | Description |
| ----------- | ----------- |
| sctl:set transaction_type=XX | Change the transaction type ( LOCAL, XA, or BASE), e.g. sctl:set transaction_type=XA. |
| sctl:show transaction_type | Query the transaction type. |
| sctl:show cached_connections | Query the numbuer of physical database cached connections. |
| sctl:explain SQL | Query the execution plan of the logic SQL, e.g. sctl:explain select * from t_order; |
| sctl:hint set PRIMARY_ONLY=true | For the current connection only. Choose whether to hint at the primary database. |
| sctl:hint set DatabaseShardingValue=yy | For the current connection only. The Hint setting only works for database sharding. Add the database sharding value yy. |
| sctl:hint addDatabaseShardingValue xx=yy | For the current connection. Add database sharding value yy to the logical table xx.|
| sctl:hint addTableShardingValue xx=yy | For the current connection. Add table sharding value yy to the logical table xx.|
| sctl:hint clear | For the current connection only. Clear all hint setting.|
| sctl:hint show status | For the current connection only. Query hint status: `primary_only:true/false, sharding_type:databases_only/databases_tables`|
| sctl:hint show table status | For the current connection only. Query hint database sharding value of the logical table.|
## Why Integrate SCTL Now?
- The SCTL feature was released in ShardingSphere v3.1.0. At that time, we did not even create the DistSQL concept - now DistSQL can provide the new API with enriched features and consistent concepts. To avoid an excessively steep learning curve, we chose to integrate SCTL into RAL.
- SCTL syntax is actually very easy to identify: it is marked with the special prefix "sctl:". Instead of using our Parser engine, parsing a SCTL command relies on string matching. Now that DistSQL is mature enough, it's time to delete these special codes and let the Parser engine handle them.
- Additionally, SCTL syntax is not real SQL. Apache ShardingSphere 5.0.0 has just been released, and DistSQL is already the best solution to manage resources and rules. This SQL created by ShardingSphere is truly SQL in practice - so why not integrate SCTL into DistSQL?
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== File: docs/blog/content/material/ElasticJob.en.md
=====================================================
+++
title = "News! The distributed scheduling project ElasticJob set sail again"
weight = 12
chapter = true
+++
[ElasticJob](https://github.com/elasticjob) is a distributed scheduling solution that provides distributed task sharding, elastic scaling, fully automated discovery. , multitasking based on time-driven, data-driven, resident and ad-hoc task types, task aggregation and dynamic resource provisioning, fault detection, auto-remediation, and failover.Main features are as follows:
* Task aggregation
* Dynamic resource scheduling
* Fault detection and automatic repairing
* Failover and retry
* Full-featured operation platform and management tools
* Friendly with cloud-native
ElasticJob can fully meet enterprise user's requirements on scheduling and processing ability for task management and batch jobs.
ElasticJob has been open source since the end of 2014 and has experienced more than 5 years of development, with its feature richness, comprehensive documentation, high quality code, ease of use of the framework, has accumulated a large number of loyal users and a good reputation in the industry (5.8K star), has been one of the most popular projects in the field of distributed scheduling framework.
Over the past two years, ElasticJob has slowed down its development due to the core developers' full commitment to developing and maintaining the Apache ShardingSphere project, among other reasons. However, as the Apache ShardingSphere project continues to expand in the distributed domain, and as users are interested in the distributed management of multi-data cluster environments and the elastic scaling of data migration, a powerful distributed scheduling component is needed. As a result, the Apache ShardingSphere community has planned to initiate a proposal for a long-term ongoing update and maintenance of ElasticJob as a sub-project.
We were the first to make this good news public, and we'll be back with more information about ElasticJob.
## References
* [Discussion email](https://lists.apache.org/thread.html/rd6171e2065be6bcfbeb7aba7e5c876eeed04db585c6ab78fc03a581c%40%3Cdev.shardingsphere.apache.org%3E)
* [Donation Proposal](https://cwiki.apache.org/confluence/display/SHARDINGSPHERE/ElasticJob+Donation+Proposal)
* [Community discussion](https://github.com/elasticjob/elastic-job-lite/issues/728)
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== File: docs/blog/content/material/Oct_12_9_ShardingSphere_JD_Baitiao_Story_of_an_Implementation_Journey.en.md
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+++
title = "ShardingSphere x JD Baitiao: Story of an Implementation Journey"
weight = 25
chapter = true
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>Apache ShardingSphere has become the best solution for JD Baitiao's very large storage scenarios and scale-up. JD's shopping festival weighed very much on our big data storage. I mean, like hundreds of millions of data sets.
>JD Baitiao, an internet credit products provider launched in 2014, has always been challenged by data explosion. Every shopping festival is like a technical test for us, but every time the technical staff professionals take proactive strategic initiatives in data architecture development to ensure everything goes smoothly.
> --Dongfang Zhang, JD Batiao R&D Director
## The Baitiao Data Architecture Evolution
Launched in Feb. 2014, JD Baitiao's data architecture has already evolved for several times because of rapid increase in data volume and rapid business growth.
**From 2014 to 2015**
Baitiao first adopted the Solr + HBase solution to connect core business systems and other systems with key databases. Solr indexing is able to achieve fast search responses and HBase is used to store a massive amount of data.
* A Solr cluster can help the core database reduce reads and writes stress.
* However, Solr is not perfect: it has unsatisfying extensibility and intrusions.
**From 2015 to 2016**
The company chose NoSQL to store monthly data tables in Mongo DB clusters, temporarily meeting the demand for importing/exporting massive data in payment settlement scenarios.
* The change made it quite efficient to query hot data. In addition, thanks to such unstructured data storage, staff can easily modify table structures.
* Nevertheless, the plan was still problematic: bad extensibility, intrusions, and memory hog.
**From 2016 to 2017**
Growing business and growing data. Tens of billions of data volume imposed more performance and volume pressure on MongoDB. JD Baitiao's Big Data Platform used DBRep and MySQL Slave to capture data changes and store the information data in its message center, to later be written to ES and HBase.
* This plan was actually much better. It focused on real-time data and improved extensibility.
* However, Baitiao faced high costs to maintain its code because of the data sharding problem in its architecture.
The architecture evolution of JD Baitiao is just an illustration of rapidly growing Internet consumer finance. All the methods Baitiao adopted in the past were not comprehensive, indicating that every solution would be outdated soon.
## Time to Adopt a Decoupled Architecture
To ensure good system performance even with rapidly increasing data volumes, the technical team first chose the sharding architecture pattern that not only guaranteed excellent performance, but also kept code under control.
**The data striping plan was actually based on application architecture:**
The product continuously developed but the early solution had now become one of the biggest problems. The old data sharding plan makes code even more complex and increases maintenance expenditure. Developers have to spend much time adjusting sharding every time when the application upgrades, so they cannot concentrate on their own developments. In fact, tight coupling is to blame for the problem.
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== File: docs/blog/content/material/Oct_12_5_E_Hualu_ShardingSphere_Hulu_Story_Data_Processing_Shortcut.en.md
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title = "E-Hualu X ShardingSphere | Hulu Story’s Data Processing Shortcut"
weight = 21
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> “ShardingSphere has greatly simplified sharding development and maintenance, which has played a very important role in our rapid product release. We estimate that ShardingSphere has saved us at least 4 months of R&D costs.”
*— Shi Moxuan, Technical Director, E-Hualu*
At the beginning of this year, E-hualu officially launched its cloud service product “Hulu App” that targets non-business users. Since then, its architecture’s data stress has increased on a daily basis.
The R&D team of Hulu App chose to use ShardingSphere’s sharding features and scale their data out. The flexible and agile features of ShardingSphere met the requirements of Hulu App. It requires data extensibility, and needs to prevent the team from “reinventing the wheel”.
ShardingSphere can simplify sharding development and maintenance to the greatest extent. As the service is growing, the work will be increasingly complicated.
## Hulu App’s growth pressure: feature extension and new services
The high requirement for data storage and computing is in the genes of the Hulu App technical team.
Because Hulu App is rapidly growing, its service and feature changes are relatively frequent. Therefore its technical team needs to adapt quickly when a front-end service changes. As its users and service data volume are growing rapidly, its databases are faced with greater pressure.
The official Hulu App was released on May 17, 2020, and then its user data and service volume also showed a rapid growth trend. Therefore it was inevitable to scale out its databases for many times. At the same time, with business requirements changing very quickly, new challenges have emerged:
* *How to ensure feature extensibility*
Because of increasing users and developing product versions, its user data has exploded. The storage and computing capability of its old architecture has been severely challenged. Therefore, Hulu App requires that its back-end data processing platform shall have both extensible features, and flexibility.
* *How to improve efficiency*
Faced with its changeable services, the R&D team of Hulu App needs to make rapid adjustments when necessary, so as to make its architecture adapt to its services. A highly-flexible, extensible data architecture can greatly improve development efficiency of the team. On the other hand, because of such large amounts of data, database retrieval efficiency will inevitably have problems such as delays, slow read and write. These problems will ultimately affect user experience.
* *How to facilitate feature release*
All new products will face problems like frequent new feature release, bringing the scheduled release date forward, when they are just released. These problems pose a great challenge to a development team. At first, Hulu’s development team planned to base on their service demands and create their own sharding plan all by themselves. However, they don’t have enough time to do that, so it’s urgent for them to choose a new sharding plan.
* *How to guarantee system stability*
A newly-added technology will greatly challenge system stability. It’s especially true for bottom-level technologies, most of which can influence platform services and probably challenge system stability. So what Hulu App needs is a data application product that does not greatly stress databases, but quickly adapts to them and that is also highly stable.
## Leverage ShardingSphere’s features to Create a Flexible, Highly-Available Data Architecture Solution
Hulu App’s team studied their needs and spent two weeks evaluating ShardingSphere and other similar solutions. They had evaluative indicators like product feature, maturity, stability and performance. At last, they chose ShardingSphere because of its powerful features, its support and its high maturity can fully meet their needs.
The Hulu team deployed ShardingSphere above Alibaba Cloud’s RDS. Instead of adjusting ontology databases, the Hulu team prefers to conduct data governance above its databases. ShardingSphere can effectively improve Hulu’s data architecture, because it can achieve three things: high scalability brought by its extensible architecture, closely adaptive to Hulu’s service. ShardingSphere brings Hulu with obvious improvement:
***“High scalability” of the pluggable architecture***
Due to its service characteristics, Hulu App’s limited storage space is consumed very quickly, and the problem gradually begins to affect response efficiency at the front end. Therefore, the team can quickly develop enhanced features by using ShardingSphere, which can provide optimized solutions for its subsequent architectural adjustments. The example strengthens the ShardingSphere’s advantage in sharding.
***Closely adaptive to service***
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title = "Revamped ShardingSphere-On-Cloud: What’s New in Version 0.2.0 with CRD ComputeNode"
weight = 96
chapter = true
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Apache ShardingSphere-On-Cloud recently released version 0.2.0, which includes a new CRD ComputeNode for ShardingSphere Operator. This new feature enables users to define computing nodes fully within the ShardingSphere architecture.
# Introduction to ComputeNode
In the classic architecture of Apache ShardingSphere, computing nodes, storage nodes, and governance nodes are the primary components.
The computing node refers to the ShardingSphere Proxy, which acts as the entry point for all data traffic and is responsible for data governance capabilities such as distribution and balancing.
The storage node is the environment that stores various ShardingSphere metadata, such as sharding rules, encryption rules, and read-write splitting rules. Governance node components include Zookeeper, Etcd, etc.
In version 0.1.x of ShardingSphere Operator, two CRD components, Proxy and ProxyServerConfig, were introduced to describe the deployment and configuration of ShardingSphere Proxy, as shown in the figure below.
These components enable basic maintenance and deployment capabilities for ShardingSphere Proxy, which are sufficient for Proof of Concept (PoC) environments.
However, for the Operator to be useful in production environments, it must be able to manage various scenarios and problems. These scenarios include cross-version upgrades, smooth session shutdowns, horizontal elastic scaling with multiple metrics, location-aware traffic scheduling, configuration security, cluster-level high availability, and more.
To address these management capabilities, ShardingSphere-On-Cloud has introduced ComputeNode, which can handle these functions within a specific group of objects. The first object is ComputeNode, as shown in the figure below:
Compared with Proxy and ProxyServerConfig, ComputeNode brings changes such as cross-version upgrades, horizontal elastic scaling, and configuration security. ComputeNode is still in the v1alpha1 stage and needs to be enabled through a feature gate.
# ComputeNode Practice
## Quick Installation of ShardingSphere Operator
To quickly set up a ShardingSphere Proxy cluster using ComputeNode, execute the following helm command:
```Bash
helm repo add shardingsphere-on-cloud https://charts.shardingsphere.io
helm install shardingsphere-on-cloud/shardingsphere-operator - version 0.2.0 - generate-name
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== File: docs/blog/content/material/ss_5.0.0beta.en.md
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title = "Following 6 months of development Apache ShardingSphere 5.0.0-beta has been officially released!"
weight = 14
chapter = true
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As an Apache top-level project, ShardingSphere goes through community verification, voting and many other steps before it can be released. Such steps ensure the release is compliant with the Apache Release License specifications, and meeting the users’ expectations set for the 5.0.0-beta milestone. The current version’s architecture has been completed and the version is officially available.
## Release Features:
### 1. Highlight Features
#### DistSQL – A New SQL Type for a Distributed Database Ecosystem
SQL is a database query programming language for accessing, querying, updating, and managing relational database systems. Most of the existing general database systems tend to rewrite and extend SQL to better fit their own database system with higher flexibility and functionality.
DistSQL (Distributed SQL) is a special built-in language proposed by Apache ShardingSphere providing additional functional operation capability in comparison to the standard SQL. Users can use ShardingSphere just like other database systems with DistSQL, therefore no longer positioning ShardingSphere as a middleware architecture for programmers, but also making it transferable to an infrastructure product for operation and maintenance.
ShardingSphere currently includes three types of DistSQL including RDL, RQL and RAL:
* RDL (Resource & Rule Definition Language): create, modify and delete resources and rules.
* RQL (Resource & Rule Query Language): query and show resources and rules.
* RAL (Resource & Rule Administration Language): hint, distributed transaction switching, distributed query execution plan and other incremental functions.
ShardingSphere proposes the concept of Database Plus, empowering traditional databases to build a highly secure & enhanced distributed database ecosystem, by leveraging open-source database system software such as MySQL and PostgreSQL, while at the same time meeting practical business needs. The distributed SQL used with this distributed database system converts ShardingSphere-Proxy from a YAML configuration driven middleware to a SQL driven distributed database system.
In the 5.0.0-beta, users can easily initiate ShardingSphere-Proxy and use DistSQL to dynamically create, modify, delete sharding tables, encrypt tables, and dynamically inject instances of database resources, create read-write-splitting strategies, show all the configurations and distributed transaction types, engage in dynamic migration of distributed database tables etc.
DistSQL allows users to query and manage all database resources and ShardingSphere’s distributed metadata in a standardized and familiar way.
In the future DistSQL will further redefine the boundary between Middleware and database, allowing users to leverage ShardingSphere as if they were using a database natively.
#### Full Join PostgreSQL Open-Source Ecosystem
PostgreSQL is widely considered to be the most powerful enterprise-level open-source database.
ShardingSphere clients include ShardingSphere-JDBC and ShardingSphere-Proxy, with ShardingSphere-Proxy containing both MySQL and PostgreSQL. As PostgreSQL has greatly matured and become increasingly adopted, the ShardingSphere team has directed its attention to the PostgreSQL proxy.
This release has greatly improved PostgreSQL in its SQL parsing and compatibility layers, protocol access and permission control layers.
The improved version of ShardingSphere-Proxy PostgreSQL is this release’s main feature and will be continuously improved in the future as it marks the beginning of compatibility with the open-source PostgreSQL.
In the future, ShardingSphere PostgreSQL-Proxy will not only provide sharding and security distributed solutions to users, but also fine-grained authentication, data access control etc.
#### ShardingSphere Pluggable Architecture
Pluggable architecture pursues the independence and non-awareness of each module through a highly flexible, pluggable and extensible kernel. These functions are combined in a super positional manner.
In ShardingSphere, many functional implementation classes are loaded by inserting SPIs (Service Provider Interface). SPI APIs for third party implementation or extension, can be used for architecture extension or component substitution.
Currently data sharding, Readwrite-splitting, data encryption, Shadow databases, instance exploration and other functions including the protocol implementations of MySQL, PostgreSQL, SQLServer, Oracle and other SQL and protocol support can be installed into ShardingSphere as plug-ins. ShardingSphere now offers dozens of SPIs as extension points for the system, and the number is still growing.
Pluggable architecture’s improvement effectively evolves ShardingSphere into a distributed database ecosystem. The pluggable and extensible concepts provide a customized combinational database solution that can be built upon with Lego-like blocks. For example, traditional relational databases can be scaled out and encrypted at the same time, while distributed database solutions can be built independently.
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title = "Database Mesh 2.0: Database Governance in a Cloud Native Environment"
weight = 58
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In March 2018, an article titled [Service Mesh is the broad trend, what about Database Mesh?](https://www.infoq.cn/article/database-mesh-sharding-jdbc), was pubslished on [InfoQ China](https://www.infoq.com/) and went viral in the technical community.
In this article, Zhang Liang, the founder of [Apache ShardingSphere](https://shardingsphere.apache.org/), described Database Mesh concept along with the idea of [Service Mesh](https://linkerd.io/what-is-a-service-mesh/). Four years later, the Database Mesh concept has been integrated by several companies together with their own tools and ecosystems. Today, in addition to Service Mesh, a variety of “X Mesh” concepts such as [ChaosMesh](https://chaos-mesh.org/), [EventMesh](https://eventmesh.apache.org/), [IOMesh](https://www.iomesh.com/) have emerged. Following four years of development, Database Mesh has also started a new chapter: **Database Mesh 2.0**.
This article reviews the background of Database Mesh, reexamines the value of Database Mesh 1.0, and introduces the new concepts, ideas, and features of Database Mesh 2.0. It also attempts to explore the future of Database Mesh.
## 1. Reviewing Database Mesh 1.0
In 2016, the first generation of Service Mesh was introduced to the public by [Linkerd](https://linkerd.io/). In 2017, the second generation of Service Mesh, was born thanks to [Istio](https://istio.io/). Its design separates the control plane from data plane, and key behavioral factors such as traffic governance, access control and observability in service governance are abstracted and standardized. Then the application container and governance container are decoupled by [Kubernetes](https://kubernetes.io/)’ Sidecar model. It was at this point that Service Mesh was finally shaped.
Almost at the same time, [ShardingSphere](https://shardingsphere.apache.org/) led by Zhang Liang evolved from the original [ShardingSphere-JDBC](https://shardingsphere.apache.org/document/current/en/overview/#shardingsphere-jdbc) into the [ShardingSphere-Proxy](https://shardingsphere.apache.org/document/current/en/quick-start/shardingsphere-proxy-quick-start/) we know today, that can be deployed independently. Both built in Java, respectively representing SDK mode and Proxy mode, providing the same standardized data sharding, distributed transactions and other features.
Both of them have their respecitve pros and cons. In 2018, the article, [Service Mesh is the broad trend, what about Database Mesh?](https://www.infoq.cn/article/database-mesh-sharding-jdbc) written by Zhang Liang (on InfoQ China) described Database Mesh as:
”Database Mesh is a new term derived from Service Mesh. As its name suggests, Database Mesh uses a mesh layer to achieve unified management of databases scattered around the system. The network of interactions between applications and databases, held together by mesh layers, is as complex and ordered as a spider’s web.”
According to this description, the concept of Database Mesh is similar to that of the Service Mesh. It is called Database Mesh, not Data Mesh, because its primary goal is not to engage data stored in the database, but to engage the interaction between applications and databases.
Database Mesh focuses on how to organically connect distributed applications for data access with databases. It’s more focused on the interaction, and effectively clarifies the interaction between chaotic applications and databases.
Database Mesh empowers applications that access databases, eventually forming a huge databases grid. Applications and databases can simply be matched in the grid and are governed by the mesh layer.
This means that the implementation of Service Mesh in Kubernetes’ Sidecar model opens new possibilities: ShardingSphere-Sidecar mode can effectively combine the advantages and minimize the disadvantages of JDBC, Proxy and Proxy client, and achieve a real cloud infrastructure with “elastic scaling + zero intrusion + decentralization”.
When a new technology concept is launched, it’ll be characterized hahahby different business scenarios and patterns, different architectural design, different infrastructure maturity, and even different engineering cultures. It is a belief that has been fully demonstrated in the implementation of Kubernetes, and has been reinforced by Service Mesh. What about Database Mesh?
[ShardingSphere-Sidecar](https://shardingsphere.apache.org/document/current/en/user-manual/shardingsphere-sidecar/) incorporates ShardingSphere’s sharding capabilities, while some companies delivered their own interpretation based on Database Mesh.
For example, analysis and support for SQL protocol are added in Service Mesh by means of secondary development to enhance the database traffic governance ability, which is compatible with the unified service governance configuration. The concept of Database Mesh is integrated into a complete set of middleware service frameworks, and a unified access mode is provided for business applications in the form of SDK or Sidecar to simplify the operation for developers.
Another example is the project that integrates distributed transaction capabilities into the Database Mesh Sidecar, presenting business applications as cloud native distributed databases. Either way, you can see that the Database Mesh concept is taking gaining acceptance and growing into a thriving ecosystem.
Note: There are three implementations of Database Mesh 1.0: ShardingSphere-Sidecar, Unified Mesh management, and distributed database from left to right respectively.
**So that’s Database Mesh 1.0.**
## 2. Introducing Database Mesh 2.0
In computer science, operating systems and databases are arguably the two most important basic softwares. SQL, for example, has an impressive half-life period. SQL not only played an important role in the early DBMS systems, but recently has become a must-have skill in data science along with Python. The vitality of SQL can be said to be timeless, which explains the famous paper proclaiming “[One SQL to rule them all](https://arxiv.org/abs/1905.12133)”.
If the database is perceived as a service node in the call-chain, then the framework of Service Mesh can also be used for governance. If a database is viewed as a stateful business application, its unique field gives rise to governance specificities. For example, database requests cannot be randomly routed to any peer nodes like services. More challenges are caused by the perception and understanding of database protocols, data sharding and routing, multiple replicas deployed by database, read/write splitting, and multiple writes to the primary library.
Moreover, when business applications are packaged and delivered in containers, and they are distributed to the Kubernetes infrastructure of each data center hundreds of thousands of times through [CI/CD pipelines](https://www.redhat.com/en/topics/devops/what-cicd-pipeline), people will undoubtedly think about how to achieve service governance in the upper layer of applications and database governance. Database Mesh is an answer to this question.
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title = "Your Detailed Guide to Apache ShardingSphere’s Operating Modes"
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# Your Detailed Guide to Apache ShardingSphere’s Operating Modes
In [Apache ShardingSphere](https://shardingsphere.apache.org/) 5.0.0 GA version, we added the new concept Operating Mode and provided three configuration methods: Memory, Standalone, and Cluster. Why does ShardingSphere provide these operating modes? What are the differences between them in actual development scenarios?
This article is a guide for you to better understand ShardingSphere’s new operating modes.
## Background: Distributed Governance
Distributed governance is the foundation of cluster deployment in ShardingSphere. In previous versions, users needed to configure the governance tag in the configuration file to enable distributed governance:
The most important features of distributed governance include persistent user configuration and [metadata](https://dzone.com/articles/shardingshpheres-metadata-loading-process).
They are also the basic capabilities supporting [Distribured SQL](https://opensource.com/article/21/9/distsql) (DistSQL). In the previous ShardingSphere 5.0.0 stories, the core developers of DistSQL have shared the concept of [DistSQL](https://medium.com/nerd-for-tech/intro-to-distsql-an-open-source-more-powerful-sql-bada4099211), its syntax, and its usage in detail, and they have showcased how you can [develop your own DistSQL](https://medium.com/codex/how-to-develop-your-distributed-sql-statement-in-apache-shardingsphere-2939eb689c61).
To recap, DistSQL gives ShardingSphere’s users a database-like experience: users can use DistSQL to build and manage the entire ShardingSphere distributed database ecosystem.
Like other standard SQLs, DistSQL, known as the operating language of the distributed database ecosystem, needs to ensure that any configuration and operations metadata can be persisted to keep data consistency when the system is restored.
In previous versions, only when you enabled distributed governance could the feature be implemented. That’s the reason why DistSQL was only available in the distributed governance scenario in its early development stage.
## Why We Created Operating Modes
Based on the cluster deployment capability given by the current distributed governance function, ShardingSphere now redefines its distribution capability as **Cluster Mode**.
The cluster mode supports ShardingSphere as a stateless compute node for multi-instance deployment and with a register center, it can synchronize metadata of all instances in the cluster in real-time.
The mode naturally supports DistSQL: under the mode, you can use DistSQL to perform operations on computing/storage nodes such as node online/offline or disabled.
In the past, DistSQL was restricted to distributed scenarios. To fix the issue, ShardingSphere first needs to figure out how metadata can be stored in a non-distributed environment. The simplest solution is to write metadata to local files and therefore when a service restarts, metadata can be loaded from local files according to different configurations.
Unlike the cluster mode used in the distributed scenario, local files cannot share configurations among multiple ShardingSphere instances in real-time. In **Standalone Mode**, all configuration updates only work in respective instances.
ShardingSphere 5.0.0 not only provides users with better features but also builds stable and user-friendly APIs to optimize user experiences.
In addition to Cluster Mode and Standalone Mode, another useful mode is called **Memory Mode**. Why did we design it? Because some users need to quickly start the integration of ShardingSphere but don’t need persistent configuration. For example, some may use ShardingSphere to quickly verify some functions, or just want to test integration. Given such a scenario requirement, we created Memory Mode.
So far ShardingSphere has three modes, i.e. Memory, Standalone, and Cluster. The operating modes are not difficult to understand in terms of our API design, and they are perfectly suitable in the actual use case scenarios of ShardingSphere. Additionally, the three operating modes can **support DistSQL** to quickly build and manage distributed database services.
The `governance` configuration method is removed from the 5.0.0 version, and instead, we start to use the different operating modes.
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== File: docs/blog/content/material/2023_05_18_Enhancing_Database_Security_ShardingSphere-Proxy’s_Authentication.en.md
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title = "Enhancing Database Security: ShardingSphere-Proxy’s Authentication"
weight = 99
chapter = true
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ShardingSphere-Proxy is a transparent database proxy that supports interaction with any client using MySQL, PostgreSQL, or openGauss protocols.
Proxy provides user authentication and can adapt to different authentication modes for various database protocols. However, there is a question that has been rarely addressed and has almost no corresponding issue even in the Github community:
“How does ShardingSphere-Proxy authenticate its clients?”
**Note:** this post only discusses password authentication, and does not include non-password authentication methods such as UDS (Unix Domain Socket).
# Background Info
To begin, let’s take a look at how several common databases authenticate their users.
# MySQL
Taking `MySQL 5.7` as an example, you can easily understand the authentication interaction between the client and the server as follows:
- The client and the server achieve protocol handshake, including negotiating which authentication protocol to use. The default value is `mysql_native_password`.
- The server generates 20-byte random data and sends it to the client.
- Based on the random data, the client encrypts passwords entered by users, then sends the encrypted information to the server for password verification. [1]
MySQL Native Authentication Process
Above is a brief description of MySQL Native Authentication. It can help us understand what happens once users enter passwords.
To adapt to different scenarios, MySQL provides multiple authentication protocols in a plugin form [2].
- `mysql_native_password`: native authentication, used as the default before version 8.0.
- `caching_sha2_password`: SHA-256-based cache authentication, used as the default after version 8.0.
- `mysql_clear_password`: clear text password authentication, suitable for certain scenarios.
MySQL enterprise versions also provide authentication plugins such as:
- `authentication_windows`: Windows service-based authentication.
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== File: docs/blog/content/material/2023_02_17_Dynamic_Data_Masking_ShardingSphere_5.3.1_Deep_Dive.en.md
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title = "Dynamic Data Masking | ShardingSphere 5.3.1 Deep Dive"
weight = 88
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With increased focus placed on user data protection and the introduction of privacy laws or data protection regulations such as [GDPR](https://gdpr-info.eu/), being compliant in terms of digital personal privacy is now of paramount importance.
Traditional applications generally lack personal data protection. Data masking enables data returned by production databases to be specially masked, encrypted, hidden, and audited according to the users' role, responsibility, and other defined rules without having to make any changes to the data.
This allows you to ensure that employees, external users, operations, part-time employees, partners, data analysts, developers, testers, and consultants have the appropriate degree of access to sensitive data in production environments.
Based on industry experience, there are two major types of data masking. One is static data masking and the other is dynamic data masking.
Static data masking refers to masking, encrypting, or replacing sensitive data with a masking algorithm for database systems through the task. It saves the masked data to the target location.
Dynamic data masking is more flexible. Dynamic data masking happens at runtime based on each query. This way, there doesn't need to be a second data source to store the masked data dynamically.
[ShardingSphere 5.3.1 provides a dynamic data masking function](https://shardingsphere.apache.org/document/4.1.1/en/features/orchestration/encrypt/). Users query data through ShardingSphere, while ShardingSphere processes data with a masking algorithm before returning results.
The whole process is based on masking rules configured by users. The masked data is then delivered to users.
# Methods
## Masking & Microkernel
On account of the ShardingSphere microkernel and pluggable architecture, the data masking function only needs to implement SPI, the resulting merger, to achieve the flexible extension of functions.
As shown in the figure below, the ShardingSphere microkernelalready includes core logic like `SQL Parser`, `SQL router`, `SQL executor`. The dynamic data masking function provided by ShardingSphere 5.3.1 is only an enhancement of the query results of the other ShardingSphere components.
This means that users only need to implement `ResultDecoratorEngine` and `ResultDecorator` in the merger to achieve the function.
In order to implement the data masking function, the `shardingsphere-mask` module is added to the features. This module contains `shardingsphere-mask-api`, `shardingsphere-mask-core` and `shardingsphere-mask-distsql`. The functions of each module are as follows:
- `shardingsphere-mask-api`：data masking API module, including `Rule` configuration with data masking function and masking algorithm SPI interface.
- `shardingsphere-mask-core`：the core data masking module, including `Rule` initialization logic, masking algorithm implementation, and resulting merger decorator implementation logic.
- `shardingsphere-mask-distsql`：DistSQL module for data masking allowing users to dynamically modify masking rules through DistSQL.
In addition to the kernel process, data masking's position in the ShardingSphere kernel also deserves mention.
ShardingSphere's powerful pluggable architecture allows us to arbitrarily assemble kernel functions, including the newly added data masking function.
Users can use the function alone, or with sharding, encryption, and other functions to achieve a more complete distributed database solution.
The following figure shows the relationship between the current functions of the ShardingSphere kernel, which can be generally divided into three levels: Column Level, Table Level, and Database Level.
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== File: docs/blog/content/material/Oct_12_1_ShardingSphere’s_Metadata_Loading_Process.en.md
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title = "ShardingSphere’s Metadata Loading Process"
weight = 17
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**1. Overview**
Metadata is the data that constitutes the data. In database terms, any data that describes the database is metadata. Column names, database names, usernames, table names, etc. and data customization library tables that store information about database objects are metadata. ShardingSphere core functions such as data sharding, encryption and decryption are all based on the database metadata.
This shows that metadata is the core of the ShardingSphere system and is also the core data of every data storage related middleware or component. With the injection of metadata, it is equivalent to having a nerve center for the whole system, which can be combined with metadata to perform personalized operations on libraries, tables, and columns, such as data sharding, data encryption, SQL rewriting, etc.
For the ShardingSphere metadata loading process, it is first necessary to clarify the type and hierarchy of metadata in ShardingSphere. The metadata in ShardingSphere is mainly based around the `ShardingSphereMetaData`, the core of which is the `ShardingSphereSchema`, which is the metadata of the database and is also the top-level object of the data source metadata. The structure of the database metadata in ShardingSphere is shown as below, for each layer, the upper layer data comes from the assembly of the lower layer data, so we use the following bottom-up hierarchy to analyze one by one.
**2. ColumMetaData and IndexMetaData**
`ColumMetaData` and `IndexMetaData` are the basic elements that make up `TableMetaData`. In the following, we will analyze the structure of the two metadata types and the loading process separately. `ColumMetaData` has the following main structure:
~~~
public final class ColumnMetaData {
//
private final String name;
//
private final int dataType;
//
private final boolean primaryKey;
//
private final boolean generated;
//
private final boolean caseSensitive;
}
~~~
The loading process is mainly encapsulated in the `org.apache.shardingsphere.infra.metadata.schema.builder.loader.ColumnMetaDataLoader#load` method, and its main process is to load the metadata of all the columns under a table name by getting the metadata matching the table name through the database link. The core code is as follows:
~~~
/**
* Load column meta data list.
*
* @param connection connection
* @param tableNamePattern table name pattern
* @param databaseType database type
* @return column meta data list
* @throws SQLException SQL exception
*/
public static Collection<ColumnMetaData> load(final Connection connection, final String tableNamePattern, final DatabaseType databaseType) throws SQLException {
=====================================================
== File: docs/blog/content/material/Oct_12_8_ShardingSphere_Google_Summer_of_Code_Students_How_Was_Your_Open_Source_Experience.cn.md
=====================================================
+++
title = "ShardingSphere X Google 编程之夏：同学，开源你怎么看？"
weight = 24
chapter = true
+++
Apache ShardingSphere 社区有幸参与 Google 编程之夏（Google Summer of Code, 以下简称 GSoC)，指导年轻一代参与开源程序代码设计。GSoC 是 Google 公司主办的年度开源程序设计项目，第一届从 2005 年开始，主要目的是鼓励世界各地的学生参与开放源代码的程序设计。而 Apache ShardingSphere 项目也被选中成为 GSoC 一部分，为学生带来开源软件开发的有趣体验。
**Thanoshan** 和 **Liangda**两位学生在上一届的 GSoC 中积极与 Apache ShardingSphere 导师工作，接受指导，在 GSoC 结束后依旧在 ShardingSphere 项目中积极贡献。
他们欣然接受了我们的采访，分享自己的 GSoC 项目申请经验，谈自己对 Apache ShardingSphere 项目和开源社区的看法，以及个人的未来计划。
<个人简介>
**Thanoshan**
国家：斯里兰卡
院校：斯里兰卡萨巴拉加穆瓦大学
专业：计算机与信息系统
**Liangda**
国家：德国
院校：曼海姆大学
专业：商业信息学
## Q&A
**Q1:**
你们是如何喜欢上软件开发的呢？
**Thanoshan：**我的专业学位和软件开发有关，不过我个人在上大学之前就对软件开发就非常感兴趣。
**Liangda：**应该是受到我所学专业的影响。高中时，我对商业和计算机科学都非常感兴趣，所以我选择了商业信息学专业，这个专业把这两个领域结合在一起了，上大学后，我开始了自己的编程之旅，接触到了软件开发，学习了 Java，C++，Python，还有软件设计模式等知识。
**Q2:**
为什么选择申请 GSoC？
**Thanoshan：**在斯里兰卡，我的很多学长学姐都已经参加过了 GSoC，他们建议我去了解一下这个项目机会，积极安利我一定要试试。然后，我搜索了很多这个项目的相关信息，去了解这个项目，并明确如何能够申请这个项目。
**Liangda：**我第一次知道 GSoC 是在去年夏天，我无意间在网络上找到一篇分享 GSoC 经验和申请的博文，那时我就对这个项目非常着迷。不过当时开源对我来说还是十分陌生的概念，我就望而却步，没有信心申请。之后在 2020 年的寒假，我有机会在学校的一个聊天机器人开发项目中担任助研，这个项目使用了 Rasa，Rasa 是一套开源机器学习框架。这也是我第一次深入了解开源框架，接触开源社区。这是一次非常棒的经历，所以我一下子就想到了 GSoC，我对自己说“为什么不试试 GSoC，继续去探索开源呢？”。
**Q3:**
你觉得 GSoC 有何独到之处？
=====================================================
== File: docs/blog/content/material/2022_07_28_Database_Plus’s_Embracing_the_Cloud_ShardingSphere-on-Cloud_Solution_Released.en.md
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+++
title = "Database Plus’s Embracing the Cloud: ShardingSphere-on-Cloud Solution Released"
weight = 70
chapter = true
+++
As a follower of the [Database Plus](https://faun.pub/whats-the-database-plus-concepand-what-challenges-can-it-solve-715920ba65aa?source=your_stories_page-------------------------------------)
development concept, [ShardingSphere](https://shardingsphere.apache.org/) has successfully passed production environment tests across multiple industries and gained popularity among community enthusiasts.
As [Kubernetes](https://kubernetes.io/) has become the de facto standard for container orchestration, the cloud-native concept has gone viral in the tech world. Apache ShardingSphere, as a database enhancement engine with an open ecosystem, has many similarities with Kubernetes in its design concept. So [SphereEx](https://www.sphere-ex.com/en/) took the lead in launching ShardingSphere-on-Cloud, its cloud solution for ShardingSphere. Database Plus’ trip to the Cloud has officially begun.
The ShardingSphere-on-Cloud repository will release its best practices including configuration templates, automation scripts, deployment tools, and Kubernetes Operator for Apache ShardingSphere on the cloud. Currently, ShardingSphere-on-Cloud has released V0.1.0, which contains the smallest available version of ShardingSphere Operator.
## ShardingSphere Operator
One of the key reasons Kubernetes has become the de facto standard for cloud-native orchestration tools is its great extensibility, enabling developers to quickly build platforms on top of other platforms.
For all kinds of software trying to run on Kubernetes, the Kubernetes Operator mode can be used to work with the `CustomResourceDefinition` framework to quickly build automatic maintenance capabilities.
Last month, Apache ShardingSphere v5.1.2 released [Helm Charts-based package management](https://faun.pub/shardingsphere-cloud-applications-an-out-of-the-box-shardingsphere-proxy-cluster-9fd7209b5512?source=your_stories_page-------------------------------------) capability. Helm Charts helps us deal with the first step, that is, how to describe and deploy ShardingSphere in Kubernetes.
The second step focuses on how to manage a stateful or complex workload in Kubernetes, for which a customized management tool is needed. In this case, SphereEx’s cloud team developed the **ShardingSphere Operator** to further enhance ShardingSphere’s deployment and maintenance capabilities on top of Kubernetes.
ShardingSphere made the following improvements in response to challenges faced when Apache ShardingSphere migrates to the Kubernetes environment.
- **Simplified startup configuration:** ShardingSphere has strong database enhancement capabilities, and its corresponding configuration is relatively complex. In the current version, ShardingSphere Operator automates the configuration and mount behavior of the configuration. Users only need to fill in the minimum startup dependency configuration to quickly deploy and start a ShardingSphere-Proxy cluster. The runtime configuration can be implemented through [DistSQL](https://shardingsphere.apache.org/document/5.1.0/en/concepts/distsql/).
- **Automatic deployment of governance nodes:**
ShardingSphere relies on the governance center to achieve metadata persistence and achieve metadata broadcasting among cluster nodes during operation. To optimize the user experience and deliver an out-of-the-box experience, ShardingSphere Operator can deploy the governance node with the compute node and configure dependencies based on users’ needs.
- **High availability:** to simplify maintenance in a cloud environment, it is desirable to implement stateless deployment. As a stateless compute node, [ShardingSphere-Proxy](https://shardingsphere.apache.org/document/current/en/quick-start/shardingsphere-proxy-quick-start/) can work with ShardingSphere Operator to achieve multi-dimensional health detection and failover recovery.
- **Horizontal scaling:** ShardingSphere-Proxy horizontal scaling can be achieved based on CPU and memory using [HPA in Kubernetes](https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/). ShardingSphere Operator will gradually support a variety of customized specifications to achieve advanced, automatic scaling that is more intelligent and stable for ShardingSphere-Proxy.
Specifically, in version 0.1.0, ShardingSphere Operator mainly supports the following capabilities:
## Helm Deployment
> **ShardingSphere-Operator Chart**
- Support the deployment of ShardingSphere-Operator.
> **ShardingSphere-Cluster Chart**
- Support the deployment of the ShardingSphere-Proxy cluster.
- Support the deployment of the [ZooKeeper](https://zookeeper.apache.org/) cluster through [Bitnami](https://bitnami.com/).
- ShardingSphere-Proxy can be automatically configured and connected to governance nodes.
> **Use Github Pages to host Charts and add repositories using `helm repo add`**
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== File: docs/blog/content/material/Oct_12_4_Updates_and_FAQ_Your_1_Minute_Quick_Start_Guide_to_ShardingSphere.en.md
=====================================================
+++
title = "Updates and FAQ — Your 1 Minute Quick Start Guide to ShardingSphere"
weight = 20
chapter = true
+++
## Background
Apache ShardingSphere is an Apache Top-Level project and is one of the most popular open-source big data projects. It was started about 5 years ago, and now ShardingSphere has over 14K+ stars and 270+ contributors in its community.
The successful project has already launched and updated many versions. Apache ShardingSphere now supports many powerful features and keeps optimizing its configuration rules. We want to help users understand all features and configuration rules, to help them quickly test and run components, and ultimately help them achieve best performance, so we decide to start the shardingsphere-example project.
shardingsphere-example is an independent Maven project. It’s preserved in the “examples” file of Apache ShardingSphere. Link:
[https://github.com/apache/shardingsphere/tree/master/examples]()
## Modules & Explanation
The shardingsphere-example project contains many modules. It provides users with guides and configuration examples of features like horizontal scaling, read and write separation, distributed governance, distributed transaction, data encryption, hint manager, shadow database, etc.
It also includes common tools such as Java API, YAML, Spring Boot, Spring Namespace. In addition to ShardingSphere-JDBC, now we add use examples of ShardingSphere-Proxy and ShardingSphere-Parser in shardingsphere-example. You can easily find all features of Apache ShardingSphere as well as their scenarios, and their flexible configurations in our official repo. The table below shows how the modules are distributed in shardingsphere-example.
~~~
shardingsphere-example
├── example-core
│ ├── config-utility
│ ├── example-api
│ ├── example-raw-jdbc
│ ├── example-spring-jpa
│ └── example-spring-mybatis
├── shardingsphere-jdbc-example
│ ├── sharding-example
│ │ ├── sharding-raw-jdbc-example
│ │ ├── sharding-spring-boot-jpa-example
│ │ ├── sharding-spring-boot-mybatis-example
│ │ ├── sharding-spring-namespace-jpa-example
│ │ └── sharding-spring-namespace-mybatis-example
│ ├── governance-example
│ │ ├── governance-raw-jdbc-example
│ │ ├── governance-spring-boot-mybatis-example
│ │ └── governance-spring-namespace-mybatis-example
│ ├── transaction-example
│ │ ├── transaction-2pc-xa-atomikos-raw-jdbc-example
│ │ ├── transaction-2pc-xa-bitronix-raw-jdbc-example
│ │ ├── transaction-2pc-xa-narayana-raw-jdbc-example
│ │ ├── transaction-2pc-xa-spring-boot-example
│ │ ├── transaction-2pc-xa-spring-namespace-example
│ │ ├── transaction-base-seata-raw-jdbc-example
│ │ └── transaction-base-seata-spring-boot-example
│ ├── other-feature-example
=====================================================
== File: docs/blog/content/material/2022_03_16_Create_a_Distributed_Database_with_High_Availability_with_Apache_ShardingSphere.en.md
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title = "Create a Distributed Database with High Availability with Apache ShardingSphere"
weight = 42
chapter = true
+++
## What is Database High Availability (HA)?
Inthe digital age, modern business systems have to be highly available, reliable, and stable. As the cornerstone of the modern business system, databases are supposed to embrace high availability.
HA allows databases to switch over services between primary and secondary databases and to automatically select `Master`, so it can pick the best node as the master when the previous one crashes.
## MySQL High Availability
There are plenty of MySQL high availability options, but each of them has its pros and cons. Below are several common high availability options:
- [Orchestrator](https://github.com/openark/orchestrator) is a MySQL HA and replication topology management tool written in Go. Its advantage lies in its support for manual adjustment of primary-secondary topology, automatic failover, automatic or manual recovery of master nodes through the Web visual console. However, the program needs to be deployed separately, and also has a steep learning curve due to the complex configurations.
- [MHA](https://www.percona.com/blog/2016/09/02/mha-quickstart-guide/) is another mature solution. It provides primary/secondary switching and failover capabilities. The good thing about it is that it can ensure the least data loss in the switching process while it can work with semi-synchronous and asynchronous replication frameworks. However, after MHA starts, only `Master` is monitored, and MHA doesn’t provide the load balancing feature for the read database.
- [MGR](https://dev.mysql.com/doc/refman/8.0/en/group-replication.html) implements group replication based on the distributed Paxos protocol to ensure data consistency. It is an official HA component provided by MySQL and no extra deployment program is required. Instead, users only need to install MGR Plugin in each data source node. The tool features high consistency, high fault tolerance, high scalability, and high flexibility.
## Apache ShardingSphere High Availability
Apache ShardingSphere’s architecture actually separates storage from computing. The storage node represents the underlying database, such as MySQL, PostgreSQL, openGauss, etc., while compute node refers to [ShardingSphere-JDBC](https://shardingsphere.apache.org/document/current/en/quick-start/shardingsphere-jdbc-quick-start/) or [ShardingSphere-Proxy](https://shardingsphere.apache.org/document/current/en/quick-start/shardingsphere-proxy-quick-start/).
Accordingly, the high availability solutions for storage nodes and compute nodes are different. For stateless compute nodes, while they need to perceive the changes in storage nodes, they also need to set up separate load balancers and have the capabilities of service discovery and request distribution. Stateful storage nodes need to be equipped with the capabilities of data synchronization, connection testing, electing a master node, and so on.
Although ShardingSphere doesn’t provide a database with high availability, it can help users integrate database HA solutions such as primary-secondary switchover, faults discovery, traffic switching governance, and so on with the help of the database HA and through its capabilities of database discovery and dynamic perception.
When combined with the primary-secondary flow control feature in distributed scenarios, ShardingSphere can provide better high availability read/write splitting solutions. **It will be easier to operate and manage ShardingSphere clusters if we use [DistSQL](https://opensource.com/article/21/9/distsql)’s dynamic high availability adjustment rules to get primary/secondary nodes' information.**
## Best Practices
Apache ShardingSphere adopts a plugin-oriented architecture, so all its enhanced capabilities can be used independently or together. Its high availability function is often used together with read/write splitting to distribute query requests to the slave databases according to the load balancing algorithm to ensure system HA, relieve primary database pressure, and improve business system throughput.
Here, we take HA+read/write splitting configuration with ShardingSphere DistSQL RAL statements as an example.
**One thing to point out here is that ShardingSphere HA implementation leans on its distributed governance capability.** Therefore, it can only be used under the cluster mode for the time being. Meanwhile, read/write splitting rules are revised in ShardingSphere 5.1.0. For details, please refer to the official documentation about [read/write splitting](https://shardingsphere.apache.org/document/current/cn/user-manual/shardingsphere-jdbc/yaml-config/rules/readwrite-splitting/).
> **Configuration**
```yaml
schemaName: database_discovery_db
dataSources:
ds_0:
url: jdbc:mysql://127.0.0.1:1231/demo_primary_ds?serverTimezone=UTC&useSSL=false
username: root
password: 123456
connectionTimeoutMilliseconds: 3000
idleTimeoutMilliseconds: 60000
maxLifetimeMilliseconds: 1800000
maxPoolSize: 50
minPoolSize: 1
=====================================================
== File: docs/blog/content/material/2022_04_01_1st_Academic_Paper_by_Apache_ShardingSphere_Accepted_by_ICDE_A_Top-Level_Database_Conference.en.md
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+++
title = "1st Academic Paper by Apache ShardingSphere Accepted by ICDE, A Top-Level Database Conference"
weight = 47
chapter = true
+++
## ICDE Accepted Apache ShardingSphere’s First Academic Paper
Recently, “Apache ShardingSphere: A Holistic and Pluggable Platform for Data Sharding”, co-authored by the Apache ShardingSphere community, SphereEx Lab and the Department of Computer Science of Chongqing University, has been accepted by [The International Conference on Data Engineering (ICDE)](https://icde2022.ieeecomputer.my/), one of the top international conferences on data engineering and databases. This conference paper is the first one focusing on data sharding in the database industry.
ICDE is a top-level academic conference on databases and data mining, as well as the flagship conference of the [Institute of Electrical and Electronics Engineers (IEEE)](https://www.ieee.org/), the world’s largest technical professional organization for the advancement of technology. ICDE, ACM SIGMOD Conference and International Conference on Very Large Data Bases are known as the top three data management and database conferences in the world.
This paper’s publication represents the culmination of 5-year of R&D and implementation testing for Apache ShardingSphere guided by its Database Plus development concept. The acceptance of this paper stands as a testament of the acknowledgment of Database Plus, Apache ShardingSphere’s enhanced computing engine and plugin-oriented architecture by the academic community.
Thanks to the acceptance of this paper, our community is proud to announce that our efforts have led to innovative breakthroughs in core database technologies.
In this paper, the co-authors propose that: considering that today relational databases that are not scalable and efficient enough to solve high concurrency problems still dominate online transaction processing and that NewSQL databases could lead to additional training costs, the database middleware Apache ShardingSphere becomes a very friendly and efficient way to connect and manage multiple databases.
## Apache ShardingSphere: A Scientific Development Path
> Why Did We Choose to Improve the Database Ecosystem Rather Than Creating a New Database?
The aim of Apache ShardingSphere is to better utilize the computing and storage capabilities of relational databases in distributed scenarios, rather than implementing a new type of relational database.
So far, as relational databases are still the best choice for complete transactions, they are often used to handle online transaction processing. However, the relational database is designed for a single machine. In other words, at the initial stage developers did not take big data into account. In short, relational databases are less scalable to efficiently solve high concurrency problems.
In this context, NewSQL came into being. However, New means this type of database is developed from scratch. Although it is suitable for current application scenarios, it has not been tested in enough real production environments, and for enterprise maintainers, it has a steep learning curve.
Apache ShardingSphere just released its official version 5.1.0. With this update, Apache ShardingSphere has also shifted its positioning to Database Plus with the desire to build the standard and ecosystem above different databases. Apart from enhanced capabilities, the Database Plus architecture also opens up a highly scalable database ecosystem for developers and users.
> Apache ShardingSphere’s Multiple Features
- Pluggable
Apache ShardingSphere adopts a “microkernel + three-layer plugin oriented” model — making the kernel, functional components and the whole ecosystem pluggable and scalable. Developers can leverage our plugins to configure all or some of ShardingSphere’s features according to their needs. Under the Apache ShardingSphere architecture, all features can be assembled into the ShardingSphere system just like building blocks. You can either use them separately or combine them together as needed.
However, in developers’ standard-oriented SPI programming, the kernel is not affected by the incremental functions, therefore multiple functional modules of ShardingSphere can be flexibly combined in real application scenarios, leaving discretion for our users.
Addtionally, Apache ShardingSphere is designed on the basis of SPI (Service Provider Interface, a service discovery mechanism provided by Java JDK) among other design patterns. Therefore, various types of databases, functions, and sharding algorithms can be easily added, removed or combined as needed.
Among them, as the primary development direction of ShardingSphere, data sharding has always been one of the most important features for us. For many users, data sharding was one of the reasons why they chose ShardingSphere. Generally speaking, performing data sharding on relational databases and removing the limitation of the storage capacity of a standalone machine by means of horizontal data sharding is an ideal solution for enterprises.
- High Performance
The paper mentioned that Chongqing University and SphereEx conducted multiple rounds of tests under Sysbench and TPCC testing scenarios, verifying that, using the same configuration, the performance of Apache ShardingSphere is superior to most sharding systems and new database architectures. Detailed records are shown in the following graphs:
=====================================================
== File: docs/blog/content/material/2022_10_14_ShardingSphere_5.2.0_Audit_for_sharding_intercepts_unreasonable_requests_in_multi-shards_scenarios.en.md
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+++
title = " ShardingSphere 5.2.0: Audit for sharding intercepts unreasonable requests in multi-shards scenarios"
weight = 76
chapter = true
+++
## 1. Background
Thanks to our continuous review of the [ShardingSphere](https://shardingsphere.apache.org/)'s community feedback that we use to develop features such as data sharding and read/write splitting, we found that some users create a large number of shards when using the data sharding feature.
In such cases, there can be 1,000 physical tables corresponding to a sharding logical table, which largely disturbs users.
For instance, a `SELECT * FROM t_order` statement will lead to a full-route, which is obviously not the case for [OLTP](https://shardingsphere.apache.org/blog/en/material/2022_04_26_how_to_use_shardingsphere-proxy_in_real_production_scenarios_your_quick_start_guide/). This SQL can be placed in another Proxy to avoid blocking other requests.
However, if users are not familiar with Proxy, or write a `where` condition and don't know that sharding is not supported in this condition, a full-route is still required.
A full route can lower the performance of Proxy and even result in the failure of a reasonable request. Imagine that there are 1000 shards in a physical database, if they are executed in parallel, 1,000 connections are needed — and if in serial, the request can lead to a timeout. In this regard, community users requested whether the unreasonable request can be intercepted directly.
We've considered the issue for a while. If we simply block the full-route operation, we just need to check it in the code and add a switch to the configuration file. On the other hand, if the user later needs to set a table to read-only or requires the update operation to carry a `limit`, does that mean we need to change the code and configuration again? This obviously goes against the pluggable logic of Proxy.
In response to the above problems, the [recently released Apache ShardingSphere 5.2.0](https://faun.pub/apache-shardingsphere-5-2-0-is-released-bringing-new-cloud-native-possibilities-8d674d964a93?source=your_stories_page-------------------------------------) provides users with SQL audit for the sharding function. The audit can either be an interception operation or a statistical operation. Similar to the sharding and unique key generation algorithms, the audit algorithm is also plugin-oriented, user-defined, and configurable.
Next, we will elaborate on the implementation logic for data sharding's audit, with specific SQL examples.
## **2. Audit for sharding interface**
The entrance to Apache ShardingSphere's audit is in the `org.apache.shardingsphere.infra.executor.check.SQLCheckEngine` class, which will invoke the `check` method of the `SQLChecker` interface. Currently, ShardingSphere audit contains audit for permission (verify username and password) and audit for sharding.
Here we focus on the parent interface implemented in `ShardingAuditChecker` of audit for sharding.
We can learn its working principles quickly through viewing the `check` code of `org.apache.shardingsphere.sharding.checker.audit.ShardingAuditChecker`.
```java
public interface ShardingAuditAlgorithm extends ShardingSphereAlgorithm {
/**
* Sharding audit algorithm SQL check.
*
* @param sqlStatementContext SQL statement context
* @param parameters SQL parameters
* @param grantee grantee
* @param database database
* @return SQL check result
*/
SQLCheckResult check(SQLStatementContext<?> sqlStatementContext, List<Object> parameters, Grantee grantee, ShardingSphereDatabase database);
=====================================================
== File: docs/blog/content/material/Oct_12_2_A_Distributed_Database_Middleware_Ecosystem_Driven_by_Open_Source.cn.md
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+++
title = "Apache ShardingSphere：由开源驱动的分布式数据库中间件生态"
weight = 18
chapter = true
+++
2021 年 7 月 21 日 2021 亚马逊云科技中国峰会现场，SphereEx 联合创始人、Apache ShardingSphere PMC 潘娟受邀参与此次峰会，以《Apache ShardingSphere 分布式数据库中间件开源生态构建》为主题，围绕开源理念扩散、社区建设、ShardingSphere 如何践行 Apache Way 等方面展开了介绍，本文总结自潘娟内容分享。
## 在数据库之上与业务之下的新生态
**一层贴近应用，一层贴近 DataBase。**
不同的行业、不同的用户、不同的定位、不同的需求....如今的数据库面临着比过去更加复杂的数据应用场景以及愈发个性化和定制化的数据处理需求。愈发苛刻的生产环境，也在推动着不同的数据库不断将数据读写速度、延时、吞吐量等性能指标发挥到极致。
久而久之，分工明确的数据应用场景逐渐导致了数据库市场的碎片化，且难以出现一款能够完美适配所有场景的数据库。在不同的业务场景下选择不同的数据库，已经成为一种常见的企业选型方法。
但同样，这种百花齐放的数据库形态，也会带来『百花齐放』的问题。但从宏观的角度来看，这些问题之间是存在共性的，是可以被抽离出来并形成一套事实标准的。如果能够在这些百花齐放的数据库之上构建能够统一应用管理数据的平台层，就可以在屏蔽底层数据库差异的前提下，按照固定标准来进行开发，这种标准化解决方案将会极大缩减用户管理基础数据设施的压力和学习成本。
Apache ShardingSphere 就是位于这一层，通过复用原有数据库的能力，能够帮助技术团队在此之上实现如分片、加密解密等增量能力的开发，且向下不需考虑底层数据库的配置，向上又能够屏蔽用户感知，从而快速构建起面向业务的数据库直连能力，轻松管理大规模的数据集群。
## 如何践行 Apache Way
**1.Sharding**
**ShardingSphere 可同时叠加使用多个功能来满足用户的多样化需求。**
随着业务体量的增大，单体数据库难以支撑大体量业务时，就有必要对数据库进行横向扩展，这就必然要面临着分布式管理的问题。ShardingSphere 通过在数据库之上构建一层热插拔功能层，并提供传统数据库的操作模式，屏蔽使用者对底层数据库变化的感知，赋予开发者使用单体数据库的方式来管理大规模数据库集群的能力。其中，ShardingSphere 主要包含以下四种应用场景：
* Sharding 策略
业务体量增大时，所面临的数据分片压力就会随之增加，所对应的分片策略相应就会被设计的更加复杂。ShardingSphere 能够以灵活、易扩展的方式，以最低成本协助用户在原本水平扩展之外做更多的分片策略，同时也支持自定义扩展的能力。
* 读写分离
通常情况下实现主从部署能够有效缓解数据库的压力，但如果某一个集群下的机器或库表出现问题，无法进行正常读写操作，就会对业务造成比较大的影响。为避免业务不可用，通常需要开发者重新写一套高可用的策略来实现读写库表的主从切换。ShardingSphere 可以自动探索所有集群的状态，在第一时间发现请求不可靠、底层数据库发生主从切换等问题，并可以在表层用户没有产生感知的前提下自动恢复主从状态。
* Sharding Scaling
随着业务的增长，可能会需要对此前拆分过的数据集群进行再一次拆分。ShardingSphere 配套的 Scaling 组件，只需一条 SQL 命令就可以启动任务，并在后台实时展示运行状态。通过 Scaling 这种『管道』，使旧的数据库生态和新的数据库生态重新连接起来。
* 数据加解密
在数据库的应用中，对于关键数据的加解密也是非常重要的一部分。如果原有系统监控能力不达标，部分敏感数据可能是以明文的状态存储的，后期需要对其进行加密处理，这是许多团队普遍存在的问题。ShardingSphere 通过对这部分能力进行标准化并集成在中间件生态上，自动化用户对新、旧业务的数据脱敏以及加解密的过程，整个过程实现了用户层面的无感知。同时支持多种内置的数据加解密/脱敏算法，用户也可根据自身情况来自定义扩展相应的数据算法。
**2.构造数据的接入神经：可插拔的 Database Plus 平台**
面对各种各样的需求以及使用场景，ShardingSphere 为不同领域的开发者提供了面向 Java 的 JDBC、面向异构的代理端以及面向上云的 Sidecar 端这三种接入形式，用户可以按具体需求来做选型，在原有集群之上来做分片、读写分离、数据迁移等相关操作。
* **JDBC 接入：**完全以 JDBC 的方式去使用，可以理解为一款增强的 JDBC 驱动程序，完全兼容 JDBC 和各种 ORM 框架，不需额外的部署和依赖即能够实现分布式管理、水平拓展、脱敏等一系列操作；
* **Proxy 接入：**以模拟数据库服务的形式，通过 Proxy 来管理底层真实的数据库集群，基本无需对业务进行改造；
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== File: docs/blog/content/material/Oct_12_8_ShardingSphere_Google_Summer_of_Code_Students_How_Was_Your_Open_Source_Experience.en.md
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+++
title = "ShardingSphere x Google Summer of Code: Students, How Was Your Open Source Experience?"
weight = 24
chapter = true
+++
Recently the ShardingSphere community had the pleasure of contributing to the Google Summer of Code (GSoC), and mentoring the next generation of open source innovators. Our project was select to be part of this brilliant and long running program, to provide students from all over the world with an experience in open source software.
Thanoshan and Liangda are the students that worked with Apache ShardingSphere mentors during the latest GSoC, and continue contributing to the project ever since.
They were kind enough to agree to a phone interview with Yacine, one of the ShardingSphere committers and community managers — to share their opinions and experience with the GSoC application process, joining the Apache ShardingSphere project, and their future plans.
## Students Intro:
Name: Thanoshan
Country: Sri Lanka
University: Sabaragamuwa University
Major: Computing & Information Systems
Name:Liangda
Country: Germany
School: University of Mannheim
Major: Business Informatics
## Q&A
> **How did you get into software development?**
**Thanoshan:** Basically, my degree is related to software development. And I’m personally very interested in this field. I was passionate about it even before starting university.
**Liangda:** Mainly through my current studies. During high school, I was interested in both business and computer science, then I decided to study Business Informatics, which is a combination of both subjects. That was the beginning of my journey in coding and software development, where I’ve learned Java, C++, Python, and design patterns etc.
> **How did you get the idea to apply for Google Summer of Code?**
**Thanoshan:** Here, in Sri Lanka, many of my seniors have already done the Google Summer of Code. They strongly advised me to look at this opportunity and told me that I should definitely try it. So, I researched the GSoC program, for things such as “What is about? How can I work on that?”.
**Liangda：**The first time I got to know GSoC was during last year’s summer, I was surfing on the internet, and I accidentally found out a blog sharing about some GSoC experiences and application tips. I was really fascinated by this program. But at that time, open source was completely new for me, and I was not confident enough. Then during the winter of 2020, I got the chance to work as a research assistant at the university on a chatbot project using Rasa, which is an open source conversational AI framework. That was the first time I dove so deep into an open source framework and interacted with the open source community. It was a great experience for me. And the idea came into my mind, why not take the opportunity of GSoC to get to learn more about the open source world.
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== File: docs/blog/content/material/community.en.md
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title = "Exploration and expansion of the community"
weight = 9
chapter = true
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Apache ShardingSphere community was invited to attend the Apache Event-join Apache open source community held by at Tsinghua University on November 9th. As an honored speaker, Liang Zhang, the PPMC, gave a talk named exploring and expanding the Apache ShardingSphere community. The main points of this topic are as follows.
### 01 Why open source?
For individuals, you can gain a better career and find enjoyment.
#### A better career
1. More career opportunities. Industries can establish the cloud platform and provide business services through open-source projects. Besides, by contributing to the open-source community, industries can enhance their technical influence. Since industries can benefit from open source, many of them are hungry for open-source talents. The open-source job is always technique-related and community-based, which relatively makes your schedule listen to yourself.
2. Better capability. By contributing to the open-source community, you can improve not only technical skills but also soft skills like Language skills, social skills, and marketing skills. In addition, you will achieve innovation ability as well, if you have a chance to create a brand new open-source project.
3. Great personal relationship. You will not only focus on your job, salary, KPI, e.t. Those industry-related activities, such as attending a seminar, tech sharing, writing blogs, even tech investing, will attract your attention. Besides, you can also communicate and make friends with foreign people worldwide in the international open-source community. As this phrase said, engage your body familiar with job skills; engage your mind closed to the world. The open-source experience will bring you more potential opportunities.
4. Earned public recognition. The effort of open-source work you did is totally open to anyone at any time, which means you can gradually receive public recognition. In contrast, the effort of in-company work is supposed to be judged by your leaders themselves, not the public, which means an inadequate evaluation is likely to give.
#### An enjoyable career
1. Self-growth. If you enjoy doing one work, you will grow up with pleasure. As a software engineer, you should learn to enjoy your work and be a self-driven person, which is the real shortcut to success.
2. Accomplishment sense. When your work is recognized by others, when your work made the project better and better, when you got new skills, you will strongly feel the sense of accomplishment and the pleasure of your career.
### 02 What is the Apache software foundation?
The Apache Software Foundation is a non-profit organization, many of whose projects have played essential roles in the internet industry since 1999. Besides, those Apache projects have been the first choice for developers to create their projects. Therefore, if you knew little about Apache projects, such as Apache Tomcat, Apache Commons, Apache Maven, Apache Hadoop, etc., you could not receive a better offer as a Java Developer or a Big Data engineer.
Recently, more and more Chinese projects entered the Apache foundation. There are 9 Top-Level projects and 10 incubating projects from China until now, which is a piece of good news for those Chinese newcomers since it is challenging for them to involve a wholly foreign open source community at the beginning. Whether it is a Chinese project, it must be under the Apache regulations and follow its policy. However, it is still more accessible for people to start with an Apache project coming from their country. The reason is that they have more chances to communicate with each other in their first language so as to dive into an Apache community quickly.
### 03 What is Apache ShardingSphere?
Apache ShardingSphere (TLP) is an open-source ecosystem consisting of a set of distributed database solutions. From the GitHub data, its community is active and growing up fast, which benefits from its stable micro-core and scalable architecture.
### 04 Apache ShardingSphere Community Statistics
Since the community is as important as the project itself for an open-source project, ShardingSphere takes more effort to build its community. Thanks to everyone's contribution, the community has fast growth, and the following statistics give us clear evidence.
1. Mail list
Looking at the data from dev@, we found 38 emails about 20 topics from 14 participants in May 2019, but with four months of effort, the data rose to 148 emails concerning 34 issues from 37 participants. Besides, we moved the GitBox emails to notification@ to avoid including notification emails and display the pure email data.
2. GitHub
The commits graph of GitHub was almost effected by my commits before June 2018, which means its development only depends on one person and is full of the risk. To turn this situation around, we did a lot of works. Finally, we got 33 contributors, 100 merged PRs, 167 handled issues, 591 modified files, and 4K new stars, which marks it has become an active and open community.
3. Contributors
There were only 11 initial committers during an extended period. This situation was turned around until two or three months ago. And presently, we have 15 PMCs, 10 committers, and 90+ contributors. However, we are still ongoing, so we believe more and more PMCs, committers and contributors will dive into our community in the future.
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== File: docs/blog/content/material/2022_06_21_Heterogeneous_migration_reducing_Dangdang’s_customer_system_RTO_60x_and_increasing_speed_by_20%.en.md
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title = "Heterogeneous migration: reducing Dangdang’s customer system RTO 60x and increasing speed by 20%"
weight = 62
chapter = true
+++
> [Apache ShardingSphere](https://shardingsphere.apache.org/) helps [Dangdang](https://www.crunchbase.com/organization/dangdang-com) rebuild its customer system with 350 million users, and seamlessly transition from a [PHP](https://www.php.net/)+[SQL Server](https://www.microsoft.com/en-us/sql-server/sql-server-downloads) technology stack to a Java+ShardingSphere+[MySQL](https://www.mysql.com/) stack. The performance, availability, and maintainability of its customer system have been significantly improved, which is the best practice of ShardingSphere’s heterogeneous migration.
## Dangdang’s customer system
Dangdang’s customer system is mainly responsible for account registration, login, and privacy data maintenance. Its previous technology stack was based on PHP and SQL Server, which means a standard centralized architecture, as shown in the figure below.
Before the rebuild project started, several business modules of the customer system had encountered multiple problems and technical challenges, such as logical decentralization, low throughput, and high operation & maintenance costs.
To improve customers’ shopping experience, Dangdang’s technical team decided to optimize the business logic and underlying data architecture to achieve the availability, scalability, and comprehensive improvement of the customer system in multiple scenarios. The rebuild also introduced many technological innovations such as cross-data source double write, read/write splitting, intelligent gateway, and gray release.
Dangdang’s technical team completed the system rebuild within half a year, from demand design, sharding planning, logic optimization, and stress testing to its official launch.
The project used Java to reconstruct more than ten modules, build distributed database solutions through ShardingSphere & MySQL, and finally complete the online migration of heterogeneous databases. The project boasts the following highlights:
- Reconstruct PHP business code using Java language.
- Replace SQL Server with ShardingSphere & MySQL.
- Complete online data migration of 350 million users.
- Complete a seamless launch through the data double-write scheme.
## Pain points & challenges
**Business pain points**
At the business level, the registration and login logic of some modules of the customer system was scattered at different ends. This resulted in high maintenance costs, and the old technical architecture was limited in terms of performance improvement and high availability.
- **Maintenance difficulty:** the registration and login logic of multiple platforms is scattered, so business maintenance is complicated.
- **Limited performance:** the PHP & SQL Server, a centralized technical architecture, had insufficient throughput.
- **Poor availability and security:** If the active/standby status of SQL Server changes, the subscription database becomes invalid and the reconfiguration takes a window of time. The security of SQL Server running on Windows Server is poor due to viruses, and the upgrading takes a long time (>30min) after the patch is installed.
**Challenges**
- **Data integrity:** the customer system involves data of more than 350 million users. It is necessary to ensure data consistency and integrity after migrating from SQL Server to MySQL.
- **API transparency:** the API is transparent to the caller to ensure that the caller does not change and to minimize the change of interface.
- **Seamless switch:** the business system must be seamlessly switched over without impact on business.
- **Time is short:** the system will be blocked before and after “[618 (aka JD.com Day)](https://edition.cnn.com/2020/06/18/tech/jd-618-china-coronavirus-intl-hnk/index.html) and [11.11 (aka Singles Day)](https://en.wikipedia.org/wiki/Singles%27_Day)” (two online shopping festivals in China), so we need to switch it between the two shopping promotions in a limited window of time, and then undergo the tests to prepare for the 11.11 shopping festival.
## Solutions
**Overall planning**
To improve the maintainability, availability, and performance of the customer system, the R&D team reorganized the customer system architecture.
At the application layer, the goal was to unify the function logic of all terminals and improve business maintainability.
At the database layer, the centralized architecture was transformed into a distributed database architecture to improve performance and availability, which is exactly the open-source distributed solution built by ShardingSphere & MySQL.
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== File: docs/blog/content/material/alpha.en.md
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title = "After years of stagnation, ElasticJob is back with the first Apache version 3.0.0-alpha"
weight = 13
chapter = true
+++
Within a few months ElasticJob as the subproject of Apache ShardingSphere has fixed and merged 535 issues and pull requests. More importantly, the ElasticJob community released the first official version: 3.0.0-alpha after joined Apache Software Foundation.
### Background
ElasticJob (https://github.com/apache/shardingsphere-elasticjob) is a distributed scheduling solution for internet ecology and massive tasks. ElasticJob consisting of two separate subprojects, ElasticJob-Lite and ElasticJob-Cloud. It was born in 2015, at that time the industry had outstanding job scheduling library such as QuartZ, but lacked of exploration at distributed field. The lack of distributed scheduling cloud platform products has caused ElasticJob to attract attention from the beginning. It effectively makes up for the shortcomings of operations in the distributed field, and provides a one-stop automated operation and maintenance management and control terminal. Each product uses a unified operation API. Developers only need to develop once and deploy at will.
In the technology selection for ElasticJob, it chose to stand on the shoulders of giants instead of reinvent the wheel. It perfectly combines the standard job scheduling library QuartZ, and ZooKeeper, a weapon for distributed coordination, to quickly and stably build a new concept of distributed scheduling framework.
### ElasticJob scheduling model
The scheduling model of ElasticJob is divided into in-process scheduling ElasticJob-Lite, which supports thread-level scheduling, and ElasticJob-Cloud, which supports process-level scheduling.
**In-process scheduling**
ElasticJob-Lite is a thread-level scheduling framework for in-process. It can be used in conjunction with Java frameworks such as Spring, Dubbo and Spring-injected Beans can be used freely in operations, such as data source connection pools, Dubbo remote services, etc. It fits business development well and make development more conveniently.
ElasticJob-Lite is deployed with business applications, and its life cycle is same as the business applications. It is a typical embedded lightweight architecture. ElasticJob-Lite is very suitable for ordinary Java applications with stable resource usage and simple deployment architecture. It can be understood as a Java development framework.
ElasticJob-Lite itself is a non-centralized architecture and does not require an independent centralized scheduling node. Each task node under the distributed system is a self-scheduled scheduling job in a timely manner. Only one registry is needed between tasks to coordinate task status in distributed scenarios, ZooKeeper is supported as a registry currently.
The architecture diagram is shown below:
It can be seen from the figure that the distributed job node of ElasticJob-Lite obtains the master node through election, and shards through the master node. After the fragmentation is completed, the master node and the replica node are the same, and both execute tasks in a self-scheduled manner.
**Process level scheduling**
ElasticJob-Cloud has two methods: in-process scheduling and process-level scheduling. Since ElasticJob-Cloud can control the resources of the job server, its job types can be divided into permanent tasks and transient tasks. Resident tasks like ElasticJob-Lite, which is in-process scheduling has completely different instantaneous tasks. It makes full use of the peak-clipping and valley-filling capabilities of resource allocation. It is process-level scheduling, each task starts a new process.
ElasticJob-Cloud needs to control resources through Mesos, and allocate tasks and resources through the scheduler deployed in Mesos Master. Cloud adopts a centralized architecture to transfer the high availability of the dispatch center to Mesos.
Its architecture diagram is shown below:
It can be seen from the figure that ElasticJob-Cloud not only has all the capabilities of Lite, but also has the ability to allocate resources and distribute tasks. It fully manages a series of life cycles of job development, packaging, distribution, scheduling, governance, and sharding. It is a true job cloud scheduling system.
Compared with the simplicity and ease of use of ElasticJob-Lite, ElasticJob-Cloud's strong dependence on Mesos increases the complexity of system deployment, making it more suitable for large-scale operating systems.
### Function list
ElasticJob functions mainly include flexible scheduling, resource allocation, job management, and visual control.
**Flexible scheduling**
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== File: docs/blog/content/material/2022_07_12_ShardingSphere_Cloud_Applications_An_out-of-the-box_ShardingSphere-Proxy_Cluster.en.md
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title = "ShardingSphere Cloud Applications: An out-of-the-box ShardingSphere-Proxy Cluster"
weight = 67
chapter = true
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The [Apache ShardingSphere v5.1.2](https://shardingsphere.apache.org/document/5.1.2/en/overview/) update introduces three new features, one of which allows using the [ShardingSphere-Proxy](https://shardingsphere.apache.org/document/current/en/quick-start/shardingsphere-proxy-quick-start/) chart to rapidly deploy a set of ShardingSphere-Proxy clusters in a cloud environment. This post takes a closer look at this feature.
## Background and Pain Points
In a cloud-native environment, an application can be deployed in batches in multiple different environments. It is difficult to deploy it into a new environment by reusing the original `YAML`.
When deploying [Kubernetes](https://kubernetes.io/) software, you may encounter the following problems:
How to manage, edit and update these scattered Kubernetes application configuration files?
How to manage a set of related configuration files as an application?
How to distribute and reuse a Kubernetes application configuration?
The above problems also occur when migrating Apache SharidngSphere-Proxy from [Docker](https://www.docker.com/) or virtual machine to Kubernetes.
Due to the flexibility of Apache ShardingSphere-Proxy, a cluster may require multiple Apache ShardingSphere-Proxy replicas. In the traditional deployment model, you need to configure a separate deployment file for each replica. For deployment without version control, the system may fail to roll back quickly during the upgrade, which may affect application stability.
Today, there usually is more than one cluster for enterprises. It is a challenge for the traditional deployment model without version control to reuse configuration across multiple clusters while ensuring configuration consistency when producing and testing clusters as well as guaranteeing the correctness of the test.
## Design objective
As Apache ShardingSphere-Proxy officially supports standardized deployment on the cloud for the first time, choosing the deployment mode is crucial. We need to consider the ease of use, reuse, and compatibility with subsequent versions.
After investigating several existing Kubernetes deployment modes, we finally chose to use [Helm](https://helm.sh/) to make a chart for Apache ShardingSphere-Proxy and provide it to users. We aim to manage the deployment of Apache ShardingSphere-Proxy so that it can be versioned and reusable.
## Design content
[Helm](https://helm.sh/) manages the tool of the Kubernetes package called `chart`. Helm can do the following things:
Create a new `chart`
Package `chart` as an archive (tgz) file.
Interact with the repository where `chart` is stored.
Install and uninstall `chart` in an existing Kubernetes cluster.
Manage the release cycle of `chart` installed together with Helm.
Using Helm to build an Apache ShardingSphere-Proxy cloud-deployed chart will significantly simplify the deployment process in the Kubernetes environment for users. It also enables Apache ShardingSphere-Proxy to replicate quickly between multiple environments.
Currently, the deployment of Apache ShardingSphere-Proxy depends on the registry, and the deployment of the [ZooKeeper](https://zookeeper.apache.org/) cluster is also supported in the Apache ShardingSphere-Proxy chart.
This provides users with a one-stop and out-of-the-box experience. An Apache ShardingSphere-Proxy cluster with governance nodes can be deployed in Kubernetes with only one command, and the governance node data can be persisted by relying on the functions of Kubernetes.
## Quick start guide
A [quick start manual](https://shardingsphere.apache.org/document/current/en/user-manual/shardingsphere-proxy/startup/helm/) is provided in the V5.1.2 documentation, detailing how to deploy an Apache ShardingSphere cluster with default configuration files.
Below we will use the source code for installation and make a detailed description of the deployment of an Apache ShardingSphere-Proxy cluster in the Kubernetes cluster.
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== File: docs/blog/content/material/2023_07_10_A_Step-by-Step_Guide_to_Data_Migration.md
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title = "A Step-by-Step Guide to Data Migration: Unlocking Distributed Database Potential with ShardingSphere"
weight = 103
chapter = true
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As businesses grow and data volumes and concurrent transactions surge, traditional standalone databases often face challenges related to performance, scalability, and availability. To overcome these limitations, the industry has introduced NoSQL solutions, employing techniques like data sharding and horizontal scaling. However, NoSQL databases often lack support for transactions and structured query language (SQL). This is where ShardingSphere comes into play.
[Apache ShardingSphere](https://shardingsphere.apache.org) offers a distributed SQL transaction & query engine capable of transforming any conventional database into a distributed one. By leveraging advanced features like data sharding, elastic scaling, and data encryption, ShardingSphere ensures improved performance, scalability, and data security.
In this blog post, we will delve into ShardingSphere's data migration function and provide you with a comprehensive, step-by-step guide on how to build a distributed database. Assuming little prior knowledge, we'll explore the intricacies of data migration, allowing you to leverage ShardingSphere's power for seamless database transitions.
# Data Migration with ShardingSphere - A Closer Look
Let's now explore one of the core features of ShardingSphere—data migration—and gain insights into its functionality and benefits. In this section, we'll focus on using MySQL as the target database and provide a step-by-step demonstration of the entire migration process.
## Introduction to Data Migration in ShardingSphere
ShardingSphere's data migration functionality is seamlessly integrated into ShardingSphere-Proxy, requiring no additional dependencies. Whether you need to upgrade your databases or create backups, ShardingSphere-Proxy's built-in data migration feature has got you covered. With this approach, you can simplify your project's development and maintenance process by avoiding the need for additional modules.
### Scope of Data Migration Support
ShardingSphere data migration currently supports the following database types out of the box:
1. MySQL
2. PostgreSQL
3. openGauss
Furthermore, ShardingSphere facilitates data migration across homogeneous and heterogeneous databases that support the aforementioned protocols. This flexibility allows businesses to seamlessly migrate data between different database systems, regardless of their underlying architecture.
### Supported Database Versions and Configuration Examples
To ensure compatibility, ShardingSphere provides data migration support for various database versions. The table below showcases the database versions and offers configuration examples for a smooth migration:
<table>
<tr>
<td><strong>Database Type</strong>
</td>
<td><strong>Supported Versions</strong>
</td>
<td><strong>Required Environment</strong>
</td>
<td><strong>Required Permission</strong>
</td>
</tr>
<tr>
<td>MySQL
</td>
<td>5.1.15 - 8.0.x
</td>
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== File: docs/blog/content/material/2023_05_10_Simplifying_Learning_ShardingSphere’s_Template_Engine_for_Streamlined_Examples.en.md
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title = "Simplifying Learning: ShardingSphere’s Template Engine for Streamlined Examples"
weight = 98
chapter = true
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After years of rapid development, ShardingSphere has grown significantly, offering six core functional modules that cater to various needs. It is also compatible with different registries, such as ZooKeeper and Nacos, allowing for seamless integration. Moreover, it supports distributed transactions and various development frameworks, providing flexibility and convenience.
To ensure a user-friendly experience, we have created an example module that showcases the diverse functionalities, registries, and service frameworks of ShardingSphere.
This example system serves as a demonstration of how these components can be effectively combined, along with an abstraction of business logic. Take a look at the illustration of our example system below:
# Analyzing the Issue
Let me start by showing you the structure of Yogiyo’s order service. When order creation, cancellation, or update traffic occurs, the Orderyo application code distributes the write load to four shard clusters based on the `customer_id`. This way, the application only needs the `customer_id` to find the shard cluster it needs to access and perform the operation.
Figure 1 — ShardingSphere’s former example directory structure
# Enhancing the Example Module for Improved User Experience
The example module of ShardingSphere has undergone significant evolution, incorporating a wide range of functionality. However, this growth has resulted in challenges for users, including difficulties in quickly finding the desired example and comprehending the shared business logic code.
After extensive discussions within the community, we have identified several key issues with the current examples:
**1. Lack of Representation:** The example modules fail to clearly represent the features and structure of ShardingSphere, as they utilize a different abstraction level than the ShardingSphere module hierarchy. This discrepancy causes confusion among users.
**2. Complexity of Business Code:** The reliance on complex, generic, and abstract public business code poses a significant learning obstacle for users. The abundance of such code makes it challenging to grasp the core concepts effectively.
**3. Non-standardized Configuration:** The configuration approach employed in the current examples lacks standardization and is predominantly focused on logic handling rather than leveraging the native capabilities of ShardingSphere. This limitation restricts the system’s ability to support a broad range of scenarios.
**4. Limited Sample Portfolio:** The existing sample portfolio is relatively small and lacks the necessary flexibility to cater to different service frameworks and modules, such as JDBC and spring boot + JDBC. This limitation restricts the versatility and applicability of ShardingSphere.
**5. Proxy Example Focus:** The ShardingSphere Proxy example should prioritize configuration guidance over the introduction of numerous logical examples. This shift will enable users to better understand and utilize the Proxy example effectively.
To address these concerns and provide users with an enhanced and intuitive experience, we are actively working on refining the example module of ShardingSphere. Our implementation principle is based on the following key considerations:
**1. Flexibility and Combinability:** Our goal is to enable users to freely combine and select the modules and features they require for ShardingSphere, allowing for different combinations.
**2. Modularization and Preformatting:** Through thorough analysis and research, we have disassembled the ShardingSphere modules into minimal combinable units. These units have been preformatted in various scenarios using the [FreeMarker template engine](https://freemarker.apache.org/). When users select a specific scenario combination, the corresponding example project is automatically generated by extracting the relevant logical units.
By implementing these improvements, we empower users to easily navigate and understand the examples, while providing the necessary flexibility to adapt ShardingSphere to their specific needs. Figure 2 illustrates the smallest logical unit of the encryption module within this new approach.
Figure 2 — Minimum logical unit of the encryption module
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== File: docs/blog/content/material/2022_07_08_ShardingSphere-Proxy_Front-End_Protocol_Troubleshooting_Guide_and_Examples.en.md
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title = "ShardingSphere-Proxy Front-End Protocol Troubleshooting Guide and Examples"
weight = 66
chapter = true
+++
[ShardingSphere-Proxy](https://shardingsphere.apache.org/document/current/en/quick-start/shardingsphere-proxy-quick-start/), positioned as a transparent database proxy, is one of [Apache ShardingSphere](https://shardingsphere.apache.org/)’s access points.
ShardingSphere-Proxy implements a database protocol that can be accessed by any client using or compatible with [MySQL](https://www.mysql.com/) / [PostgreSQL](https://www.postgresql.org/) / [openGauss](https://opengauss.org/en/) protocols. The advantage of ShardingSphere-Proxy over [ShardingSphere-JDBC](https://shardingsphere.apache.org/document/current/en/overview/#shardingsphere-jdbc) is the support for heterogeneous languages and the operable entry point to the database cluster for DBAs.
Similar to ShardingSphere’s SQL parsing module, establishing ShardingSphere-Proxy’s support for database protocols is a long-term process that requires developers to continuously improve the database protocol deployment.
This post will introduce you to the tools commonly used in database protocol development by presenting a troubleshooting guide for ShardingSphere-Proxy MySQL protocol issues as a case study.
## 1. Use Wireshark to analyze network protocols
[Wireshark](https://www.wireshark.org/) is a popular network protocol analysis tool with built-in support for parsing hundreds of protocols (including the MySQL / PostgreSQL protocols relevant to this article) and the ability to read many different types of packet capture formats.
The full features, installation and other details about Wireshark can be found in the official Wireshark documents.
## 1.1 Packet capture using tools like Wireshark or tcpdump
**1.1.1 Wireshark**
Wireshark itself has the ability to capture packets, so if the environment connected to ShardingSphere-Proxy can run Wireshark, you can use it to capture packets directly.
After initiating Wireshark , first select the correct network card.
For example, if you are running ShardingSphere-Proxy locally, the client connects to ShardingSphere-Proxy on port 3307 at 127.0.0.1 and the traffic passes through the Loopback NIC, which is selected as the target of packet capture.
Once the NIC is selected, Wireshark starts capturing packets. Since there may be a lot of traffic from other processes on the NIC, it is necessary to filter out the traffic coming from specified port.
**1.1.2 tcpdump**
In cases where ShardingSphere-Proxy is deployed in an online environment, or when you cannot use Wireshark to capture packets, consider using tcpdump or other tools.
NIC eth0 as target, filter TCP port 3307, write the result to /path/to/dump.cap. Command Example:
`tcpdump -i eth0 -w /path/to/dump.cap tcp port 3307`
To know how to use tcpdump, you can man tcpdump. tcpdump’s packet capture result file can be opened through Wireshark.
**1.1.3 Note**
When a client connects to MySQL, SSL encryption may be automatically enabled, causing the packet capture result to not directly parse the protocol content. You can disable SSL by specifying parameters using the MySQL client command line with the following command:
`mysql --ssl-mode=disable`
Parameters can be added using JDBC with the following parameters:
`jdbc:mysql://127.0.0.1:3306/db?useSSL=false`
=====================================================
== File: docs/blog/content/videos/build.en.md
=====================================================
+++
title = "How to develop ShardingSphere community with Apache way"
weight = 3
chapter = true
+++
Apache shardingsphere VP: Liang Zhang gives a wonderful explanation of shardingsphere project and open source. Liang Zhang, architecture expert of Technical Center, JD Digital Technology(JD.com), Apache ShardingSphere PMC Chair. Shardingsphere has entered the Apache incubator. It is the first open source project of JD to enter the Apache software foundation, and it is also the first distributed database of Apache software foundation.
{{< bilibili BV1aC4y1W7DA >}}
=====================================================
== File: docs/blog/content/videos/new_SQL.cn.md
=====================================================
+++
title = "从 New SQL 角度看 Apache ShardingSphere"
weight = 4
chapter = true
+++
近些年 New SQL 概念盛行，国内外各大公司对 New SQL 都有着不同的解读。博观而约取之后，本次分享将为大家带来有关 New SQL 理念、国内外产品架构的解读。并以 New SQL 的角度详细分析 Apache ShardingSphere 这一业界盛行的 Apache 开源分布式数据库中间件服务平台的架构、特性、规划及开源社区。
{{< bilibili BV12t4y117GC >}}
=====================================================
== File: docs/blog/content/videos/new_SQL.en.md
=====================================================
+++
title = "Exploring Apache ShardingSphere with the perspective of new SQL"
weight = 4
chapter = true
+++
NewSQL is popular in recent years, and companies all over the world have different interpretations of NewSQL. This sharing will bring you the interpretation of NewSQL concept and product architecture around the world. The architecture, characteristics, planning and open source community of Apache ShardingSphere, a popular open source distributed database middleware service platform, are analyzed in detail from the perspective of NewSQL.
{{< bilibili BV12t4y117GC >}}
=====================================================
== File: docs/blog/content/videos/_index.cn.md
=====================================================
+++
title = "视频选集"
weight = 2
chapter = true
+++
欢迎观看 Apache ShardingSphere 的精选视频，也欢迎您的投稿！
1. [ShardingSphere 与 openGauss 的化学反应](/cn/videos/opengauss/)
2. [【开源总动员】零基础入门 Apache ShardingSphere 开源之道](/cn/videos/opensource/)
3. [ShardingSphere 的 Apache 共建之道](/cn/videos/build/)
4. [从 New SQL 角度看 Apache ShardingSphere](/cn/videos/new_sql/)
5. [开源推动下的 Apache ShardingSphere 架构演进](/cn/videos/evolution/)
6. [海量数据下的 NewSQL 数据库生态构建](/cn/videos/ecosystem/)
7. [Apache ShardingSphere 5.x 的新功能](/cn/videos/newfeature/)
=====================================================
== File: docs/blog/content/videos/openGauss.en.md
=====================================================
+++
title = "The Cooperation Between ShardingSphere and openGauss"
weight = 1
chapter = true
+++
On May 29th, the "[Beijing] openGauss Meetup" event hosted by the openGauss community and jointly hosted by Beijing Kunpeng Joint Innovation Center, ENMOTECH, SANGFOR, and SphereEx was successfully held at Zhongguancun, Beijing. This Meetup is also the first joint event after SphereEx officially joined the openGauss community. At the Meetup site, Zhang Liang, CEO of SphereEx, shared the theme of "The Cooperation Between ShardingSphere and openGauss".
{{< qq m3250lnfeir >}}
=====================================================
== File: docs/blog/content/videos/openGauss.cn.md
=====================================================
+++
title = "ShardingSphere 与 openGauss 的化学反应"
weight = 1
chapter = true
+++
5 月 29 日，由 openGauss 社区主办，北京鲲鹏联合创新中心、云和恩墨、深信服、SphereEx 合力承办的“【北京】openGauss Meetup”活动在北京海淀区中关村智能制造创新中心成功举行，此次 Meetup 也是 SphereEx 正式加入 openGauss 社区后的首次联合活动。在 Meetup 现场，SphereEx CEO 张亮从产品形态、部署架构、性能测试、未来规划等方面为大家带来了《ShardingSphere 与 openGauss 的化学反应》主题分享。
{{< qq m3250lnfeir >}}
=====================================================
== File: docs/blog/content/videos/evolution.en.md
=====================================================
+++
title = "Apache ShardingSphere architecture evolution driven by open source"
weight = 5
chapter = true
+++
This sharing will start with NewSQL, focusing on the evolution and planning of ShardingSphere architecture, and fall into the relationship and development between open source and contributors. From the perspective of product ecology, open source power, personal growth and development, it brings us interpretation and sharing.
{{< bilibili BV1av41167ny >}}
=====================================================
== File: docs/blog/content/videos/_index.en.md
=====================================================
+++
title = "Video Selections"
weight = 2
chapter = true
+++
Welcome to pick up some of video selections to watch. Moreover look forward to your contribution!
1. [The Cooperation Between ShardingSphere and openGauss](/en/videos/opengauss/)
2. [Getting started with Apache ShardingSphere](/en/videos/opensource/)
3. [How to develop ShardingSphere community with Apache way](/en/videos/build/)
4. [Exploring Apache ShardingSphere with the perspective of new SQL](/en/videos/new_sql/)
5. [Apache ShardingSphere architecture evolution driven by open source](/en/videos/evolution/)
6. [How to build database ecosystem with newSQL in a big-data environment](/en/videos/ecosystem/)
7. [New feature of Apache ShardingSphere 5.x](/en/videos/newfeature/)
=====================================================
== File: docs/blog/content/videos/ecosystem.en.md
=====================================================
+++
title = "How to build database ecosystem with newSQL in a big-data environment"
weight = 6
chapter = true
+++
With the rapid development of the Internet, the scale of Internet data is also explosive growth. In this scenario, how to transform and upgrade the traditional database to meet the data needs of the new Internet? How to build an ecosystem of distributed database cluster with the help of NewSQL concept to meet the business needs of query performance, large amount of data storage, data security, elastic expansion, etc? This sharing will analyze these problems in detail and provide a relatively complete NewSQL solution.
{{< bilibili BV19z411e743 >}}
=====================================================
== File: docs/blog/content/videos/OpenSource.en.md
=====================================================
+++
title = "Getting started with Apache ShardingSphere"
weight = 2
chapter = true
+++
Apache ShardingSphere is the only database middleware project of Apache software foundation. It is mainly used in distributed database related scenarios such as data fragmentation, distributed transaction and distributed governance. This live broadcast will share why we want to participate in open source; the Apache software foundation, the core principles of Apache ShardingSphere and how to embark on the road of open source.
{{< bilibili BV16K4y1b7CZ >}}
=====================================================
== File: docs/blog/content/videos/Newfeature.en.md
=====================================================
+++
title = "New feature of Apache ShardingSphere 5.x"
weight = 7
chapter = true
+++
The first version of Apache ShardingSphere 5.x will be released soon. In version 5.x, Apache ShardingSphere has made significant innovations from architecture design to product scope. Apache ShardingSphere 5.x follow pluggable architecture design concept to build a flexible, embeddable and extensible project. Apache ShardingSphere 5. X no longer takes data sharding as kernel, but turns to building distributed database ecosystem. In the new version, core functions such as data sharding, distributed transaction and database governance are completely separated from the kernel and become a part of its pluggable component. Through SPI, the ecosystem is fully opened, and the functions of data migration, elastic scheduling, data encryption, shadow table are fully integrated into the product ecology. This presentation will comprehensively introduce the new features of Apache ShardingSphere 5.x.
{{< bilibili BV1Qa4y1s7WK >}}
=====================================================
== File: docs/blog/resources/_gen/assets/scss/scss/tale.scss_5ad6f408b0e3e473c748aac88af0ea18.content
=====================================================
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padding-right: 2em; }
=====================================================
== File: docs/blog/archetypes/default.cn.md
=====================================================
---
title: "{{ replace .Name "-" " " | title }}"
date: {{ .Date }}
draft: true
---
=====================================================
== File: docs/blog/config.toml
=====================================================
baseURL = "https://shardingsphere.apache.org/blog/"
canonifyurls = true
languageCode = "en-us"
theme = "tale4zh"
defaultContentLanguage = "en"
defaultContentLanguageInSubdir= true
[Languages]
[Languages.en]
title = "ShardingSphere - Blog"
weight = 1
languageName = "English"
[Languages.cn]
title = "ShardingSphere - 博客"
weight = 2
languageName = "中文"
# Change default color scheme with a variant one. Can be "red", "blue", "green".
themeVariant = "black"
# Disable search function. It will hide search bar
disableSearch = true
editURL = "https://github.com/apache/shardingsphere/tree/master/docs/blog/content/"
[markup]
[markup.tableOfContents]
endLevel = 3
ordered = false
startLevel = 2
[markup.goldmark]
[markup.goldmark.renderer]
unsafe = true
[menu]
[[Languages.en.menu.main]]
name = "Articles"
url = "/en/material/"
[[Languages.en.menu.main]]
name = "Videos"
url = "/en/videos/"
[[Languages.cn.menu.main]]
name = "文章"
url = "/cn/material/"
[[Languages.cn.menu.main]]
name = "视频"
=====================================================
== File: .github/PULL_REQUEST_TEMPLATE
=====================================================
Fixes #ISSUSE_ID.
Changes proposed in this pull request:
-
---
Before committing this PR, I'm sure that I have checked the following options:
- [ ] My code follows the [code of conduct](https://shardingsphere.apache.org/community/en/involved/conduct/code/) of this project.
- [ ] I have self-reviewed the commit code.
- [ ] I have (or in comment I request) added corresponding labels for the pull request.
- [ ] I have passed maven check locally : `./mvnw clean install -B -T1C -Dmaven.javadoc.skip -Dmaven.jacoco.skip -e`.
- [ ] I have made corresponding changes to the documentation.
- [ ] I have added corresponding unit tests for my changes.
=====================================================
== File: .github/workflows/resources/variables/env-variables.properties
=====================================================
GLOBAL_REPOSITORY=apache/shardingsphere
GLOBAL_RUNS_ON=ubuntu-latest
DISABLE_CI=false
=====================================================
== File: .github/ISSUE_TEMPLATE/question.md
=====================================================
---
name: "\U0001F914 Question"
about: Usage question that isn't answered in docs or discussion
---
## Question
**For English only**, other languages will not accept.
Before asking a question, make sure you have:
- Googled your question.
- Searched open and closed [GitHub issues](https://github.com/apache/shardingsphere/issues).
- Read documentation: [ShardingSphere Doc](https://shardingsphere.apache.org/document/current/en/overview).
Please pay attention on issues you submitted, because we maybe need more details.
If no response anymore and we cannot reproduce it on current information, we will **close it**.
=====================================================
== File: .github/ISSUE_TEMPLATE/bug-report.md
=====================================================
---
name: "\U0001F41B Bug Report"
about: Something isn't working as expected
---
## Bug Report
**For English only**, other languages will not accept.
Before report a bug, make sure you have:
- Searched open and closed [GitHub issues](https://github.com/apache/shardingsphere/issues).
- Read documentation: [ShardingSphere Doc](https://shardingsphere.apache.org/document/current/en/overview).
Please pay attention on issues you submitted, because we maybe need more details.
If no response anymore and we cannot reproduce it on current information, we will **close it**.
Please answer these questions before submitting your issue. Thanks!
### Which version of ShardingSphere did you use?
### Which project did you use? ShardingSphere-JDBC or ShardingSphere-Proxy?
### Expected behavior
### Actual behavior
### Reason analyze (If you can)
### Steps to reproduce the behavior, such as: SQL to execute, sharding rule configuration, when exception occur etc.
### Example codes for reproduce this issue (such as a github link).
=====================================================
== File: .github/ISSUE_TEMPLATE/feature-request.md
=====================================================
---
name: "\U0001F680 Feature Request"
about: I have a suggestion
---
## Feature Request
**For English only**, other languages will not be accepted.
Please pay attention on issues you submitted, because we maybe need more details.
If no response anymore and we cannot make decision by current information, we will **close it**.
Please answer these questions before submitting your issue. Thanks!
### Is your feature request related to a problem?
### Describe the feature you would like.
=====================================================
== File: .github/GIT_TEMPLATE/.git_commit_template.txt
=====================================================
Add git message title here
# See links to relevant web pages, issue trackers, etc.
See: https://github.com/
See: [Git Page](https://github.com/)
# List all co-authors, so people can contact with them
Co-authored-by: Name <name@example.com>
# Why is this change happening, e.g. goals, use cases, stories, etc.?
Why:
# How is this change happening, e.g. implementations, algorithms, etc.?
How:
# Tags suitable for searching, such as hashtags, keywords, etc.
Tags:
# ## Help ##
#
# Subject line imperative uppercase verbs:
#
# Add = Create a capability e.g. feature, test, dependency.
# Drop = Delete a capability e.g. feature, test, dependency.
# Fix = Fix an issue e.g. bug, typo, accident, misstatement.
# Bump = Increase the version of something e.g. a dependency.
# Make = Change the build process, or tools, or infrastructure.
# Start = Begin doing something; e.g. enable a toggle, feature flag, etc.
# Stop = End doing something; e.g. disable a toggle, feature flag, etc.
# Refactor = A change that MUST be just refactoring.
# Reformat = A change that MUST be just format, e.g. indent line, trim space, etc.
# Rephrase = A change that MUST be just textual, e.g. edit a comment, doc, etc.
# Optimize = A change that MUST be just about performance, e.g. speed up code.
# Document = A change that MUST be only in the documentation, e.g. help files.
#
# For the subject line:
# * Use 50 characters maximum.
# * Do not use a sentence-ending period.
#
# For the body text:
# * Use as many lines as you like.
# * Use 72 characters maximum per line for typical word wrap text.
#
#
# ## About ##
#
# This is our git commit messages.
# You can edit this template if you want
#
# ## Usage ##
=====================================================
== File: examples/README.md
=====================================================
# ShardingSphere-example
Example for 1.x please see tags in `https://github.com/apache/shardingsphere/tree/${tag}/shardingsphere-jdbc-example`
Example for 2.x or 3.x or 4.x please see tags in `https://github.com/apache/shardingsphere-example/tree/${tag}`
**Notices**
- *The `shardingsphere-jdbc-example-generator` module is a brand-new sample experience module. *
- *Please make sure primary replica data replication sync on MySQL is running correctly. Otherwise, readwrite-splitting example will query empty data from the replica.*
## Using `master` branch
Please make sure some dependencies from [Apache ShardingSphere](https://github.com/apache/shardingsphere) has been installed since examples depend on that.
if you are a newbie for Apache ShardingSphere, you could prepare the dependencies as following:
1. download and install [Apache ShardingSphere](https://github.com/apache/shardingsphere):
```bash
## download source code
git clone https://github.com/apache/shardingsphere.git
## compile source code
cd shardingsphere
./mvnw clean install -Prelease
```
## Module design
### project structure
```
shardingsphere-example
├── shardingsphere-jdbc-example-generator
├── shardingsphere-parser-example
└── src/resources
└── manual_schema.sql
```
## Available Examples
| Example | Description |
|---------------------------------------------------------------------------------|--------------------------------------------------------------------------------|
| [ShardingSphere-JDBC Examples](shardingsphere-jdbc-example-generator/README.md) | Generate the examples by configuration and show how to use ShardingSphere-JDBC |
=====================================================
== File: examples/shardingsphere-jdbc-example-generator/README.md
=====================================================
# Example codes generator of ShardingSphere
Project uses template engine to generate example codes of ShardingSphere.
## Usage
1. Configure YAML file
File: `src/main/resources/config.yaml`
2. Generate code
Run `org.apache.shardingsphere.example.generator.ExampleGeneratorMain` to generate example codes.
Generated codes: `target/generated-sources/shardingsphere-${product}-sample`
## Configuration Item Explanation
| *Name* | *Description* | *Options* |
|:------------|-------------------|:-------------------------------------------------------------------------------------------------------------------------------------|
| mode | operating mode | cluster-zookeeper, cluster-etcd, standalone |
| transaction | transaction type | local, xa-atomikos, xa-narayana |
| features | feature set | sharding, readwrite-splitting, encrypt, shadow, mask |
| frameworks | framework set | jdbc, spring-boot-starter-jdbc, spring-boot-starter-jpa, spring-boot-starter-mybatis, spring-namespace-jpa, spring-namespace-mybatis |
| host | database host | |
| port | database port | |
| username | database username | |
| password | database password | |
=====================================================
== File: README.md
=====================================================
## [Distributed SQL transaction & query engine for data sharding, scaling, encryption, and more - on any database.](https://shardingsphere.apache.org/)
**Official Website:** [https://shardingsphere.apache.org/](https://shardingsphere.apache.org/)
[](https://github.com/apache/shardingsphere/releases)
[](https://sonarcloud.io/summary/new_code?id=apache_shardingsphere)
[](https://sonarcloud.io/summary/new_code?id=apache_shardingsphere)
[](https://sonarcloud.io/summary/new_code?id=apache_shardingsphere)
[](https://sonarcloud.io/summary/new_code?id=apache_shardingsphere)
[](https://sonarcloud.io/summary/new_code?id=apache_shardingsphere)
[](https://codecov.io/gh/apache/shardingsphere)
[](https://bestpractices.coreinfrastructure.org/projects/5394)
[](https://join.slack.com/t/apacheshardingsphere/shared_invite/zt-sbdde7ie-SjDqo9~I4rYcR18bq0SYTg)
[](https://gitter.im/shardingsphere/Lobby)
[](https://twitter.com/ShardingSphere)
| **Stargazers Over Time** | **Contributors Over Time** |
|:---------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
| [](https://starchart.cc/apache/shardingsphere) | [](https://www.apiseven.com/en/contributor-graph?chart=contributorOverTime&repo=apache/shardingsphere) |
### OVERVIEW
<hr>
Apache ShardingSphere is a distributed SQL transaction & query engine that allows for data sharding, scaling, encryption, and more - on any database. Our community's guiding development concept is Database Plus for creating a complete ecosystem that allows you to transform any database into a distributed database system.
It focuses on repurposing existing databases, by placing a standardized upper layer above existing and fragmented databases, rather than creating a new database.
The goal is to provide unified database services and minimize or eliminate the challenges caused by underlying databases' fragmentation.
This results in applications only needing to communicate with a single standardized service.
The concepts at the core of the project are `Connect`, `Enhance` and `Pluggable`.
- `Connect:` Flexible adaptation of database protocol, SQL dialect and database storage. It can quickly connect applications and heterogeneous databases.
- `Enhance:` Capture database access entry to provide additional features transparently, such as: redirect (sharding, readwrite-splitting and shadow), transform (data encrypt and mask), authentication (security, audit and authority), governance (circuit breaker and access limitation and analyze, QoS and observability).
- `Pluggable:` Leveraging the micro kernel and 3 layers pluggable mode, features and database ecosystem can be embedded flexibly. Developers can customize their ShardingSphere just like building with LEGO blocks.
ShardingSphere became an [Apache](https://apache.org/index.html#projects-list) Top-Level Project on April 16, 2020.
So far, ShardingSphere has been used by over [10,000 projects on GitHub](https://github.com/search?l=Maven+POM&q=shardingsphere+language%3A%22Maven+POM%22&type=Code).
### DOCUMENTATION??
<hr>
[](https://shardingsphere.apache.org/document/current/en/overview/)
=====================================================
== File: RELEASE-NOTES.md
=====================================================
## Release 5.4.1
### New Feature
1. Proxy: Supports dbcp and c3p0 connection pools
1. Metadata: Standalone mode adapts to metadata new structure
1. Governance: Governance supports register instance level data source
### Enhancement
1. Mode: Improve Standalone mode JDBC type impl reset data on initialization
1. Scaling: Isolate ShardingSphereDataSource Standalone repository in pipeline
1. Scaling: Disable system-schema-metadata-enabled in pipeline
1. JDBC: Move jdbc core META-INF/services/java.sql.Driver from test to main
1. Scaling: Add algorithm columns in SHOW MIGRATION CHECK ALGORITHMS DistSQL result
1. Scaling: Add type_aliaes column in SHOW MIGRATION CHECK ALGORITHMS DistSQL result
1. Encrypt: Add duplicate name check for derived columns and logical columns
1. Encrypt: Deny DDL for cipher columns in Proxy
1. Encrypt: Add the default type for derived columns to varchar(4000)
### Bug Fix
1. Scaling: Fix get inventory position not correctly on breakpoint resuming when table names are similar
1. Scaling: Fix CDC importer not start on breakpoint resuming when first inventory task is finished
1. Single Table: Fix not switched active version when CREATE/DROP table modifies the Single rule configuration
1. JDBC: Fix JDBC memory leak with MySQL in the 5.4.0 version
### Change Log
1. [MILESTONE](https://github.com/apache/shardingsphere/milestone/27)
## Release 5.4.0
### API Changes
1. Metadata: Change sharding broadcast tables to global broadcast tables
1. JDBC: Remove exclamation mark (!) for global rules
1. DistSQL: Simplify keywords ASSISTED_QUERY, LIKE_QUERY in encrypt DistSQL
1. DistSQL: Optimize SQL_PARSER rule syntax
1. Encrypt: Adjust encryption yaml API to distinguish between encrypt, like, and assisted query configurations
1. Encrypt: Remove plain column and queryWithCipherColumn configuration in encrypt feature
1. Readwrite-splitting: Refactor read/write splitting api
1. Proxy: Remove property proxy-instance-type configuration
1. Proxy: Remove property proxy-backend-executor-suitable
1. Proxy: Remove property proxy-mysql-default-version
1. Scaling: Refactor commit rollback streaming to drop streaming
1. Sharding: Merge ShardingCacheRule into ShardingRule (Experimental)
### New Features
1. DistSQL: New syntax to manage SQL_FEDERATION rule
1. Proxy: Support Unix Domain Socket
### Enhancements
=====================================================
== File: CODE_OF_CONDUCT.md
=====================================================
# Contributor Covenant Code of Conduct
The following code of conduct is based on full compliance with [ASF CODE OF CONDUCT](https://www.apache.org/foundation/policies/conduct.html).
## Development Guidelines
- Write codes with heart. Pursue clean, simplified and extremely elegant codes. Agree with concepts in <Refactoring: Improving the Design of Existing Code> and <Clean Code: A Handbook of Agile Software Craftsmanship>.
- Be familiar with codes already had, to keep consistent with the style and use.
- Highly reusable, no duplicated codes or configurations.
- Delete codes out of use in time.
## Contributor Covenant Submitting of Conduct
- Make sure Maven build process success. Run `mvn -T 1C clean install` or `./mvnw -T 1C clean install` command in shell to start Maven build process. On which directory to run Maven build process, there are 2 alternatives, we could select one of them: 1) if we're not familiar with Apache ShardingSphere, then we could run it on project root directory, 2) if we know which modules will be affected by the changes, then we could run it on these modules to save build time.
- Make sure the test coverage rate is not lower than the master branch.
- Careful consideration for each `pull request`; Small and frequent `pull request` with complete unit function is welcomed.
- Conform to `Contributor Covenant Code of Conduct` below.
- If using IDEA，you can import the recommended `src/resources/code-style-idea.xml`.
## Contributor Covenant Code of Conduct
- Use linux line separators.
- Keep indents (including blank lines) consistent with the previous one.
- Keep one blank line after class definition.
- No meaningless blank lines. Please extract private methods to instead of blank lines if too long method body or different logic code fragments.
- Use meaningful class, method and variable names, avoid to use abbreviate.
- Return values are named with `result`; Variables in the loop structure are named with `each`; Replace `each` with `entry` in map.
- Exceptions when catch are named with `ex`; Exceptions when catch but do nothing are named with `ignored`.
- Name property files with `Spinal Case`(a variant of `Snake Case` which uses hyphens `-` to separate words).
- Split codes that need to add notes with it into small methods, which are explained with method names.
- Have constants on the left and variable on the right in `=` and `equals` conditional expressions; Have variable on the left and constants on the right in `greater than` and `less than` conditional expressions.
- Beside using same names as input parameters and global fields in assign statement, avoid using `this` modifier.
- Design class as `final` class except abstract class for extend.
- Make nested loop structures a new method.
- Order of members definition and parameters should be consistent during classes and methods.
- Use guard clauses in priority.
- Minimize the access permission for classes and methods.
- Private method should be just next to the method in which it is used; Multiple private methods should be in the same as the appearance order of original methods.
- No `null` parameters or return values.
- Replace if else return and assign statement with ternary operator in priority.
- Replace constructors, getters, setter methods and log variable with lombok in priority.
- Use `LinkedList` in priority. Use `ArrayList` for use index to get element only.
- Use capacity based `Collection` such as `ArrayList`, `HashMap` must indicate initial capacity to avoid recalculate capacity.
- Use English in all the logs and javadoc.
- Include Javadoc, todo and fixme only in the comments.
- Only `public` classes and methods need javadoc, other methods, classes and override methods do not need javadoc.
- conditional operator(<expression1> ? <expression2> : <expression3>) `nested use` is forbidden.
## Contributor Covenant Unit Test of Conduct
=====================================================
== File: MATURITY.md
=====================================================
# Podling Maturity Assessment for ShardingSphere
## Overview
This is an assessment of the ShardingSphere podling’s maturity, meant to help inform the decision (of the mentors, community, Incubator PMC and ASF Board of Directors) to graduate it as a top-level Apache project.
It is based on the ASF project maturity model at https://community.apache.org/apache-way/apache-project-maturity-model.html
## Status of this document
All open items are updated with the latest status.
## Maturity model assessment
Mentors and community members are encouraged to contribute to this page and comment on it, the following table summarizes project’s self-assessment against the Apache Maturity Model.
**CODE**
| **ID** | **Description** | **Status** |
|----------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| **CD10** | The project produces Open Source software, for distribution to the public at no charge. | **YES.** The project source code is licensed under the `Apache License 2.0`. |
| **CD20** | The project's code is easily discoverable and publicly accessible. | **YES.** The [website](https://shardingsphere.apache.org/) includes `SCM` link which can access GitHub directly. |
| **CD30** | The code can be built in a reproducible way using widely available standard tools. | **YES.** The build uses Apache Maven and Jenkins as the continuous integration tools, user can find `How to Build` in the [GitHub's README.md](https://github.com/apache/incubator-shardingsphere/blob/dev/README.md) for more information. |
| **CD40** | The full history of the project's code is available via a source code control system, in a way that allows any released version to be recreated. | **YES.** The project uses git to manage source code, demo code, documentation and website, all releases are tagged. |
| **CD50** | The provenance of each line of code is established via the source code control system, in a reliable way based on strong authentication of the committer. When third-party contributions are committed, commit messages provide reliable information about the code provenance. | **YES.** The project uses GitHub which managed by Apache Infra, it ensuring provenance of each line of code to a committer. The third-party contributions are accepted in accordance with the [contributor guide](https://shardingsphere.apache.org/community/en/involved/contribute/) only. |
**Licenses and Copyright**
| **ID** | **Description** | **Status** |
|----------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| **LC10** | The code is released under the Apache License, version 2.0. | **YES.** The [LICENSE file](https://github.com/apache/shardingsphere/blob/master/LICENSE) is in GitHub repository. |
| **LC20** | Libraries that are mandatory dependencies of the project's code do not create more restrictions than the Apache License does. | **YES.** The [list of dependencies](https://github.com/apache/shardingsphere/tree/master/distribution/proxy/src/main/release-docs/licenses) for binary release has been reviewed to contain compatible licenses only. |
| **LC30** | The libraries mentioned in LC20 are available as Open Source software. | **YES.** See LC20's dependencies list. |
| **LC40** | Committers are bound by an Individual Contributor Agreement (the "Apache iCLA") that defines which code they are allowed to commit and how they need to identify code that is not their own. | **YES.** All committers have iCLAs on file before they have an apache account. |
| **LC50** | The copyright ownership of everything that the project produces is clearly defined and documented. | **YES.** All files in the source code have appropriate headers and checked by `Apache rat plugin` when build. |
**Releases**
| **ID** | **Description** | **Status** |
|----------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| **RE10** | Releases consist of source code, distributed using standard and open archive formats that are expected to stay readable in the long term. | **YES.** Source release is distributed via [dist.apache.org](https://dist.apache.org/repos/dist/release/incubator/shardingsphere/) and linked from [download page](https://shardingsphere.apache.org/document/current/en/downloads/). |
| **RE20** | Releases are approved by the project's PMC (see CS10), in order to make them an act of the Foundation. | **YES.** All releases have been voted by ShardingSphere community and incubator, which have least 3 (P)PMC votes. |
| **RE30** | Releases are signed and/or distributed along with digests that can be reliably used to validate the downloaded archives. | **YES.** All releases are signed, and the [KEYS file](https://dist.apache.org/repos/dist/release/incubator/shardingsphere/KEYS) is provided on dist.apache.org. |
| **RE40** | Convenience binaries can be distributed alongside source code but they are not Apache Releases -- they are just a convenience provided with no guarantee. | **YES.** Convenience binaries are distributed via [Maven Central Repository](https://mvnrepository.com/artifact/org.apache.shardingsphere), [DockerHub](https://hub.docker.com/r/apache/sharding-proxy/tags) and [dist.apache.org](https://dist.apache.org/repos/dist/release/incubator/shardingsphere/) at the same time. |
| **RE50** | The release process is documented and repeatable to the extent that someone new to the project is able to independently generate the complete set of artifacts required for a release. | **YES.** [Release guide](https://shardingsphere.apache.org/community/en/involved/release/) is available. The releases of the project have been performed by 3 different release managers. |
**Quality**
| **ID** | **Description** | **Status** |
|----------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------|
=====================================================
== File: .mvn/jvm.config
=====================================================
-Xmx2g -XX:MaxMetaspaceSize=512m
=====================================================
== File: CONTRIBUTING.md
=====================================================
You can report a bug, submit a new feature enhancement recommendation, or commit codes by a pull request.
## Reporting Bug
- Before reporting a bug, please search from google to confirm that you cannot find any hint on it.
- Look at the [issues List](https://github.com/apache/shardingsphere/issues) to confirm this issue is not a duplicated one.
- [Create](https://github.com/apache/shardingsphere/issues/new) a new issue.
- Define a clear and descriptive title for the issue.
- If a bug is reported, please provide information below:
- Details for reproduce bug step by step. Include SQL, configuration, expected results, actual results and tracing log.
- ShardingSphere and your OS version.
- Source code that reproduce the bug on GitHub, can be linked here.
- Stack trace if exception thrown.
- Screenshot and animated gif to help bug reproduce if necessary.
- Screenshot for CPU, Memory, Network and IO stat if performance issue.
- If enhancement recommendation reported, please provide information below:
- Details for enhancement behaviour.
- Explain why this enhancement is general feature for most developers.
- List similar features which already available in other product if possible. Both open source and commercial software are available.
- Assign label after issue created. Label should be bug, enhancement, discussion and so on.
- Please pay attention to the issue and provide more information during discuss.
- Please close issue when it is resolved. If you don't close it, we will close it after 3 days。
- If this issue has new information, please reopen it again. Please note, issue can reopen which only closed by yourself.
## Commit Pull Request
- Please choose an interested issue, or create a new issue and then settle a correct label.
- Reply a deadline message to pickup this issue.
- Find a mentor in [Core developers list](https://shardingsphere.apache.org/community/en/team/), he will give you feedback for design and implements.
- Fork to your GitHub repo and begin to work.
- Please follow [Development conventions](https://shardingsphere.apache.org/community/en/involved/conduct/code/), and complete check before pull request submit.
- Submit a pull request to master branch when finished.
- Mentor will do code review and discuss some details, include design, implement, performance and code style. Code will be merged until mentor accepted.
- Finally, congratulations that you have become the official contributor for Apache ShardingSphere.
=====================================================
== File: README_ZH.md
=====================================================
## [ShardingSphere - 构建异构数据库上层的标准和生态](https://shardingsphere.apache.org/index_zh.html)
**官方网站: https://shardingsphere.apache.org/**
[](https://github.com/apache/shardingsphere/releases)
[](https://sonarcloud.io/summary/new_code?id=apache_shardingsphere)
[](https://sonarcloud.io/summary/new_code?id=apache_shardingsphere)
[](https://sonarcloud.io/summary/new_code?id=apache_shardingsphere)
[](https://sonarcloud.io/summary/new_code?id=apache_shardingsphere)
[](https://sonarcloud.io/summary/new_code?id=apache_shardingsphere)
[](https://codecov.io/gh/apache/shardingsphere)
[](https://bestpractices.coreinfrastructure.org/projects/5394)
[](https://join.slack.com/t/apacheshardingsphere/shared_invite/zt-sbdde7ie-SjDqo9~I4rYcR18bq0SYTg)
[](https://gitter.im/shardingsphere/Lobby)
[](https://twitter.com/ShardingSphere)
| **星评增长时间线** | **贡献者增长时间线** |
|:---------------------------------------------------------------------------------------------------------------------:|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:|
| [](https://starchart.cc/apache/shardingsphere) | [](https://www.apiseven.com/en/contributor-graph?chart=contributorOverTime&repo=apache/shardingsphere) |
### 概述
<hr>
Apache ShardingSphere 产品定位为 `Database Plus`，旨在构建异构数据库上层的标准和生态。
它关注如何充分合理地利用数据库的计算和存储能力，而并非实现一个全新的数据库。ShardingSphere 站在数据库的上层视角，关注他们之间的协作多于数据库自身。
`连接`、`增强` 和 `可插拔` 是 Apache ShardingSphere 的核心概念。
- `连接：`通过对数据库协议、SQL 方言以及数据库存储的灵活适配，快速的连接应用与多模式的异构数据库；
- `增强：`获取数据库的访问流量，并提供流量重定向（数据分片、读写分离、影子库）、流量变形（数据加密、数据脱敏）、流量鉴权（安全、审计、权限）、流量治理（熔断、限流）以及流量分析（服务质量分析、可观察性）等透明化增强功能；
- `可插拔：`项目采用微内核 + 三层可插拔模型，使内核、功能组件以及生态对接完全能够灵活的方式进行插拔式扩展，开发者能够像使用积木一样定制属于自己的独特系统。
ShardingSphere 已于 2020 年 4 月 16 日成为 [Apache 软件基金会](https://apache.org/index.html#projects-list)的顶级项目。
迄今为止，已有超过 [10,000 个 GitHub 项目](https://github.com/search?l=Maven+POM&q=shardingsphere+language%3A%22Maven+POM%22&type=Code)采用了 ShardingSphere。
### 文档??
<hr>
[](https://shardingsphere.apache.org/document/current/en/overview/)
[](https://shardingsphere.apache.org/document/current/cn/overview/)
更多信息请参考：[https://shardingsphere.apache.org/document/current/cn/overview/](https://shardingsphere.apache.org/document/current/cn/overview/)
=====================================================
== File: src/resources/rat.txt
=====================================================
**/gen/**
**/target/**
**/logs/**
**/*.log
**/*.tokens
# IDE files
**/*.iml
**/.idea/**
**/*.classpath
**/.project
**/.settings/**
**/dependency-reduced-pom.xml
# git files
**/.gitignore
**/.gitmodules
**/.git/**
# CI files
**/.codecov.yml
**/.mvn/jvm.config
**/.mvn/wrapper/maven-wrapper.properties
# GitHub files
**/.github/**
# document files
**/*.md
**/*.MD
**/*.txt
**/docs/**
# UI files
**/.babelrc
**/.editorconfig
**/.eslintignore
**/package.json
**/assets/**
**/dist/**
**/etc/**
**/node/**
**/node_modules/**
**/test/coverage/**