As the first product and the predecessor of ShardingSphere, Sharding-JDBC defines itself as a lightweight Java framework that provides extra service at Java JDBC layer. With 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.
Applicable to any Java ORM framework, such as JPA, Hibernate, Mybatis, Spring JDBC Template or direct use of JDBC.
Based on any third-party database connection pool, such as DBCP, C3P0, BoneCP, Druid and HikariCP.
Support any kind of database that conforms to JDBC standard: MySQL, Oracle, SQLServer and PostgreSQL (for now).
|Connections Count Cost||
||Relatively High loss||Low loss|
Sharding-JDBC is suitable for java application.
The yellow part in the diagram indicates the API entrance of Sharding-JDBC, provided in factory method. There are two kinds of factories,
MasterSlaveDataSourceFactory for now.
ShardingDataSourceFactory is used to create JDBC drivers of sharding databases with sharding tables or sharding databases with sharding tables+read-write split;
MasterSlaveDataSourceFactory is used to create JDBC drivers of read-write split.
The blue part in the diagram indicates configuration objects of Sharding-JDBC, which provides flexible configuration methods.
ShardingRuleConfiguration is the core and entrance of sharding database and sharding table configuration, which can include many
MasterSlaveRuleConfiguration. Each group of sharding tables with same rules is set with a
TableRuleConfiguration. If sharding databases with sharding tables and read-write split are used together, each logic database of read-write split is set with a
TableRuleConfiguration is corresponding to a
ShardingStrategyConfiguration and it has 5 types to choose.
Read-write split uses
The red part in the diagram indicates internal objects, which are used in Sharding-JDBC and needless to be focused by application developers. Sharding-JDBC uses
MasterSlaveRuleConfiguration to generate rule objects used by
MasterSlaveDataSource. Implemented with
MasterSlaveDataSource are complete implementation schemes of JDBC.
DataSourceobjects to split databases.
org.apache.shardingsphere.shardingjdbc.api packages are API open to users, the modifications of which will be declared in release notes. As internal implementations, classes in other packages can adjust any time,
please not use them directly.