Sharding-Scaling

快速开始

部署启动

  1. 执行以下命令，编译生成sharding-scaling二进制包：

git clone https://github.com/apache/incubator-shardingsphere.git；
cd incubarot-shardingsphere;
mvn clean install -Prelease;

发布包所在目录为：/sharding-distribution/sharding-scaling-distribution/target/apache-shardingsphere-incubating-${latest.release.version}-sharding-scaling-bin.tar.gz。

  1. 解压缩发布包，修改配置文件conf/server.yaml，这里主要修改启动端口，保证不与本机其他端口冲突，其他值保持默认即可：
port: 8888
blockQueueSize: 10000
pushTimeout: 1000
workerThread: 30
  1. 启动sharding-scaling：
sh bin/start.sh

注意： 如果后端连接MySQL数据库，需要下载MySQL Connector/J， 解压缩后，将mysql-connector-java-5.1.47.jar拷贝到${sharding-scaling}\lib目录。

  1. 查看日志logs/stdout.log，确保启动成功。

创建迁移任务

Sharding-Scaling提供相应的HTTP接口来管理迁移任务，部署启动成功后，我们可以调用相应的接口来启动迁移任务。

创建迁移任务：

curl -X POST \
  http://localhost:8888/shardingscaling/job/start \
  -H 'content-type: application/json' \
  -d '{
   "ruleConfiguration": {
      "sourceDatasource": "ds_0: !!YamlDataSourceConfiguration\n  dataSourceClassName: com.zaxxer.hikari.HikariDataSource\n  properties:\n    jdbcUrl: jdbc:mysql://127.0.0.1:3306/test?serverTimezone=UTC&useSSL=false\n    username: root\n    password: '\''123456'\''\n    connectionTimeout: 30000\n    idleTimeout: 60000\n    maxLifetime: 1800000\n    maxPoolSize: 50\n    minPoolSize: 1\n    maintenanceIntervalMilliseconds: 30000\n    readOnly: false\n",
      "sourceRule": "defaultDatabaseStrategy:\n  inline:\n    algorithmExpression: ds_${user_id % 2}\n    shardingColumn: user_id\ntables:\n  t1:\n    actualDataNodes: ds_0.t1\n    keyGenerator:\n      column: order_id\n      type: SNOWFLAKE\n    logicTable: t1\n    tableStrategy:\n      inline:\n        algorithmExpression: t1\n        shardingColumn: order_id\n  t2:\n    actualDataNodes: ds_0.t2\n    keyGenerator:\n      column: order_item_id\n      type: SNOWFLAKE\n    logicTable: t2\n    tableStrategy:\n      inline:\n        algorithmExpression: t2\n        shardingColumn: order_id\n",
      "destinationDataSources": {
         "name": "dt_0",
         "password": "123456",
         "url": "jdbc:mysql://127.0.0.1:3306/test2?serverTimezone=UTC&useSSL=false",
         "username": "root"
      }
   },
   "jobConfiguration": {
      "concurrency": 3
   }
}'

注意：上述需要修改ruleConfiguration.sourceDatasource和ruleConfiguration.sourceRule，分别为源端ShardingSphere数据源和数据表规则相关配置；

以及ruleConfiguration.destinationDataSources中目标端sharding-proxy的相关信息。

返回如下信息，表示任务创建成功：

{
   "success": true,
   "errorCode": 0,
   "errorMsg": null,
   "model": null
}

需要注意的是，目前Sharding-Scaling任务创建成功后，便会自动运行，进行数据的迁移。

查询任务进度

执行如下命令获取当前所有迁移任务：

curl -X GET \
  http://localhost:8888/shardingscaling/job/list

返回示例如下：

{
  "success": true,
  "errorCode": 0,
  "model": [
    {
      "jobId": 1,
      "jobName": "Local Sharding Scaling Job",
      "status": "RUNNING"
    }
  ]
}

进一步查询任务具体迁移状态：

curl -X GET \
  http://localhost:8888/shardingscaling/job/progress/1

返回任务详细信息如下：

{
   "success": true,
   "errorCode": 0,
   "errorMsg": null,
   "model": {
        "id": 1,
        "jobName": "Local Sharding Scaling Job",
        "status": "RUNNING"
        "syncTaskProgress": [{
            "id": "127.0.0.1-3306-test",
            "status": "SYNCHRONIZE_REALTIME_DATA",
            "historySyncTaskProgress": [{
                "id": "history-test-t1#0",
                "estimatedRows": 41147,
                "syncedRows": 41147
            }, {
                "id": "history-test-t1#1",
                "estimatedRows": 42917,
                "syncedRows": 42917
            }, {
                "id": "history-test-t1#2",
                "estimatedRows": 43543,
                "syncedRows": 43543
            }, {
                "id": "history-test-t2#0",
                "estimatedRows": 39679,
                "syncedRows": 39679
            }, {
                "id": "history-test-t2#1",
                "estimatedRows": 41483,
                "syncedRows": 41483
            }, {
                "id": "history-test-t2#2",
                "estimatedRows": 42107,
                "syncedRows": 42107
            }],
            "realTimeSyncTaskProgress": {
                "id": "realtime-test",
                "delayMillisecond": 1576563771372,
                "logPosition": {
                    "filename": "ON.000007",
                    "position": 177532875,
                    "serverId": 0
                }
            }
        }]
   }
}

结束任务

数据迁移完成后，我们可以调用接口结束任务：

curl -X POST \
  http://localhost:8888/shardingscaling/job/stop \
  -H 'content-type: application/json' \
  -d '{
   "jobId":1
}'

返回如下信息表示任务成功结束：

{
   "success": true,
   "errorCode": 0,
   "errorMsg": null,
   "model": null
}

结束Sharding-Scaling

sh bin/stop.sh