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读写分离
概念
为了缓解数据库压力,将写入和读取操作分离为不同数据源,写库称为主库,读库称为从库,一主库可配置多从库。
支持项
- 提供了一主多从的读写分离配置,可独立使用,也可配合分库分表使用。
- 独立使用读写分离支持SQL透传。
- 同一线程且同一数据库连接内,如有写入操作,以后的读操作均从主库读取,用于保证数据一致性。
- Spring命名空间。
- 基于Hint的强制主库路由。
不支持范围
- 主库和从库的数据同步。
- 主库和从库的数据同步延迟导致的数据不一致。
- 主库双写或多写。
代码开发示例
仅读写分离
// 构建读写分离数据源, 读写分离数据源实现了DataSource接口, 可直接当做数据源处理. masterDataSource, slaveDataSource0, slaveDataSource1等为使用DBCP等连接池配置的真实数据源
Map<String, DataSource> dataSourceMap = new HashMap<>();
dataSourceMap.put("masterDataSource", masterDataSource);
dataSourceMap.put("slaveDataSource0", slaveDataSource0);
dataSourceMap.put("slaveDataSource1", slaveDataSource1);
// 构建读写分离配置
MasterSlaveRuleConfiguration masterSlaveRuleConfig = new MasterSlaveRuleConfiguration();
masterSlaveRuleConfig.setName("ms_ds");
masterSlaveRuleConfig.setMasterDataSourceName("masterDataSource");
masterSlaveRuleConfig.getSlaveDataSourceNames().add("slaveDataSource0");
masterSlaveRuleConfig.getSlaveDataSourceNames().add("slaveDataSource1");
DataSource dataSource = MasterSlaveDataSourceFactory.createDataSource(dataSourceMap, masterSlaveRuleConfig);
分库分表 + 读写分离
// 构建读写分离数据源, 读写分离数据源实现了DataSource接口, 可直接当做数据源处理. masterDataSource0, slaveDataSource00, slaveDataSource01等为使用DBCP等连接池配置的真实数据源
Map<String, DataSource> dataSourceMap = new HashMap<>();
dataSourceMap.put("masterDataSource0", masterDataSource0);
dataSourceMap.put("slaveDataSource00", slaveDataSource00);
dataSourceMap.put("slaveDataSource01", slaveDataSource01);
dataSourceMap.put("masterDataSource1", masterDataSource1);
dataSourceMap.put("slaveDataSource10", slaveDataSource10);
dataSourceMap.put("slaveDataSource11", slaveDataSource11);
// 构建读写分离配置
MasterSlaveRuleConfiguration masterSlaveRuleConfig0 = new MasterSlaveRuleConfiguration();
masterSlaveRuleConfig0.setName("ds_0");
masterSlaveRuleConfig0.setMasterDataSourceName("masterDataSource0");
masterSlaveRuleConfig0.getSlaveDataSourceNames().add("slaveDataSource00");
masterSlaveRuleConfig0.getSlaveDataSourceNames().add("slaveDataSource01");
MasterSlaveRuleConfiguration masterSlaveRuleConfig1 = new MasterSlaveRuleConfiguration();
masterSlaveRuleConfig1.setName("ds_1");
masterSlaveRuleConfig1.setMasterDataSourceName("masterDataSource1");
masterSlaveRuleConfig1.getSlaveDataSourceNames().add("slaveDataSource10");
masterSlaveRuleConfig1.getSlaveDataSourceNames().add("slaveDataSource11");
// 通过ShardingSlaveDataSourceFactory继续创建ShardingDataSource
ShardingRuleConfiguration shardingRuleConfig = new ShardingRuleConfiguration();
shardingRuleConfig.getMasterSlaveRuleConfigs().add(masterSlaveRuleConfig0);
shardingRuleConfig.getMasterSlaveRuleConfigs().add(masterSlaveRuleConfig1);
DataSource dataSource = ShardingDataSourceFactory.createDataSource(dataSourceMap, shardingRuleConfig);
Spring命名空间配置示例
<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns:context="http://www.springframework.org/schema/context"
xmlns:sharding="http://shardingsphere.io/schema/shardingjdbc/sharding"
xmlns:masterslave="http://shardingsphere.io/schema/shardingjdbc/masterslave"
xsi:schemaLocation="http://www.springframework.org/schema/beans
http://www.springframework.org/schema/beans/spring-beans.xsd
http://www.springframework.org/schema/context
http://www.springframework.org/schema/context/spring-context.xsd
http://shardingsphere.io/schema/shardingjdbc/sharding
http://shardingsphere.io/schema/shardingjdbc/sharding/sharding.xsd
http://shardingsphere.io/schema/shardingjdbc/masterslave
http://shardingsphere.io/schema/shardingjdbc/masterslave/master-slave.xsd
">
<!-- 配置真实数据源 -->
<bean id="dbtbl_0_master" class="org.apache.commons.dbcp.BasicDataSource" destroy-method="close">
<property name="driverClassName" value="com.mysql.jdbc.Driver"/>
<property name="url" value="jdbc:mysql://localhost:3306/dbtbl_0_master"/>
<property name="username" value="root"/>
<property name="password" value=""/>
</bean>
<bean id="dbtbl_0_slave_0" class="org.apache.commons.dbcp.BasicDataSource" destroy-method="close">
<property name="driverClassName" value="com.mysql.jdbc.Driver"/>
<property name="url" value="jdbc:mysql://localhost:3306/dbtbl_0_slave_0"/>
<property name="username" value="root"/>
<property name="password" value=""/>
</bean>
<bean id="dbtbl_0_slave_1" class="org.apache.commons.dbcp.BasicDataSource" destroy-method="close">
<property name="driverClassName" value="com.mysql.jdbc.Driver"/>
<property name="url" value="jdbc:mysql://localhost:3306/dbtbl_0_slave_1"/>
<property name="username" value="root"/>
<property name="password" value=""/>
</bean>
<bean id="dbtbl_1_master" class="org.apache.commons.dbcp.BasicDataSource" destroy-method="close">
<property name="driverClassName" value="com.mysql.jdbc.Driver"/>
<property name="url" value="jdbc:mysql://localhost:3306/dbtbl_1_master"/>
<property name="username" value="root"/>
<property name="password" value=""/>
</bean>
<bean id="dbtbl_1_slave_0" class="org.apache.commons.dbcp.BasicDataSource" destroy-method="close">
<property name="driverClassName" value="com.mysql.jdbc.Driver"/>
<property name="url" value="jdbc:mysql://localhost:3306/dbtbl_1_slave_0"/>
<property name="username" value="root"/>
<property name="password" value=""/>
</bean>
<bean id="dbtbl_1_slave_1" class="org.apache.commons.dbcp.BasicDataSource" destroy-method="close">
<property name="driverClassName" value="com.mysql.jdbc.Driver"/>
<property name="url" value="jdbc:mysql://localhost:3306/dbtbl_1_slave_1"/>
<property name="username" value="root"/>
<property name="password" value=""/>
</bean>
<!-- 定义读写分离数据源, 读写分离数据源实现了DataSource接口, 可直接当做数据源处理 -->
<master-slave:data-source id="dbtbl_0" master-data-source-name="dbtbl_0_master" slave-data-source-names="dbtbl_0_slave_0, dbtbl_0_slave_1" strategy-type="ROUND_ROBIN" />
<master-slave:data-source id="dbtbl_1" master-data-source-name="dbtbl_1_master" slave-data-source-names="dbtbl_1_slave_0, dbtbl_1_slave_1" strategy-type="ROUND_ROBIN" />
<sharding:inline-strategy id="databaseStrategy" sharding-column="user_id" algorithm-expression="dbtbl_${user_id % 2}" />
<sharding:inline-strategy id="orderTableStrategy" sharding-column="order_id" algorithm-expression="t_order_${order_id % 4}" />
<sharding:data-source id="shardingDataSource">
<sharding:sharding-rule data-source-names="dbtbl_0, dbtbl_1">
<sharding:table-rules>
<sharding:table-rule logic-table="t_order" actual-data-nodes="dbtbl_${0..1}.t_order_${0..3}" database-strategy-ref="databaseStrategy" table-strategy-ref="orderTableStrategy"/>
</sharding:table-rules>
</sharding:sharding-rule>
</sharding:data-source>
</beans>
使用Hint强制路由主库示例
HintManager hintManager = HintManager.getInstance();
hintManager.setMasterRouteOnly();
// 继续JDBC操作
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