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spring aop , mysql 主從配置 實現讀寫分離,下來把自己的配置過程,以及遇到的問題記錄下來,方便下次操作,也希望給一些朋友帶來幫助。
mysql主從配置參看:http://blog.csdn.net/huoyunshen88/article/details/26597483
1.使用spring aop 攔截機制現數據源的動態選取。
- @Retention(RetentionPolicy.RUNTIME)
- @Target(ElementType.METHOD)
- public @interface DataSource {
- String value();
- }
3.利用Spring的AbstractRoutingDataSource解決多數據源的問題 參考本站《使用Spring的AbstractRoutingDataSource解決多數據源的問題》
- import org.springframework.jdbc.datasource.lookup.AbstractRoutingDataSource;
- public class ChooseDataSource extends AbstractRoutingDataSource {
- @Override
- protected Object determineCurrentLookupKey() {
- return HandleDataSource.getDataSource();
- }
- }
4.利用ThreadLocal解決線程安全問題
- public class HandleDataSource {
- public static final ThreadLocal<String> holder = new ThreadLocal<String>();
- public static void putDataSource(String datasource) {
- holder.set(datasource);
- }
- public static String getDataSource() {
- return holder.get();
- }
- }
5.定義一個數據源切面類,通過aop訪問,在spring配置文件中配置了,所以沒有使用aop注解
- import java.lang.reflect.Method;
- import org.aspectj.lang.JoinPoint;
- import org.aspectj.lang.annotation.Aspect;
- import org.aspectj.lang.annotation.Before;
- import org.aspectj.lang.annotation.Pointcut;
- import org.aspectj.lang.reflect.MethodSignature;
- import org.springframework.stereotype.Component;
- //@Aspect
- //@Component
- public class DataSourceAspect {
- //@Pointcut("execution(* com.apc.cms.service.*.*(..))")
- public void pointCut(){};
- // @Before(value = "pointCut()")
- public void before(JoinPoint point)
- {
- Object target = point.getTarget();
- System.out.println(target.toString());
- String method = point.getSignature().getName();
- System.out.println(method);
- Class<?>[] classz = target.getClass().getInterfaces();
- Class<?>[] parameterTypes = ((MethodSignature) point.getSignature())
- .getMethod().getParameterTypes();
- try {
- Method m = classz[0].getMethod(method, parameterTypes);
- System.out.println(m.getName());
- if (m != null && m.isAnnotationPresent(DataSource.class)) {
- DataSource data = m.getAnnotation(DataSource.class);
- HandleDataSource.putDataSource(data.value());
- }
- } catch (Exception e) {
- e.printStackTrace();
- }
- }
- }
6.配置applicationContext.xml
- <!-- 主庫數據源 -->
- <bean id="writeDataSource" class="com.jolbox.bonecp.BoneCPDataSource" destroy-method="close">
- <property name="driverClass" value="com.mysql.jdbc.Driver"/>
- <property name="jdbcUrl" value="jdbc:mysql://172.22.14.6:3306/cpp?autoReconnect=true"/>
- <property name="username" value="root"/>
- <property name="password" value="root"/>
- <property name="partitionCount" value="4"/>
- <property name="releaseHelperThreads" value="3"/>
- <property name="acquireIncrement" value="2"/>
- <property name="maxConnectionsPerPartition" value="40"/>
- <property name="minConnectionsPerPartition" value="20"/>
- <property name="idleMaxAgeInSeconds" value="60"/>
- <property name="idleConnectionTestPeriodInSeconds" value="60"/>
- <property name="poolAvailabilityThreshold" value="5"/>
- </bean>
- <!-- 從庫數據源 -->
- <bean id="readDataSource" class="com.jolbox.bonecp.BoneCPDataSource" destroy-method="close">
- <property name="driverClass" value="com.mysql.jdbc.Driver"/>
- <property name="jdbcUrl" value="jdbc:mysql://172.22.14.7:3306/cpp?autoReconnect=true"/>
- <property name="username" value="root"/>
- <property name="password" value="root"/>
- <property name="partitionCount" value="4"/>
- <property name="releaseHelperThreads" value="3"/>
- <property name="acquireIncrement" value="2"/>
- <property name="maxConnectionsPerPartition" value="40"/>
- <property name="minConnectionsPerPartition" value="20"/>
- <property name="idleMaxAgeInSeconds" value="60"/>
- <property name="idleConnectionTestPeriodInSeconds" value="60"/>
- <property name="poolAvailabilityThreshold" value="5"/>
- </bean>
- <!-- transaction manager, 事務管理 -->
- <bean id="transactionManager" class="org.springframework.jdbc.datasource.DataSourceTransactionManager">
- <property name="dataSource" ref="dataSource" />
- </bean>
- <!-- 注解自動載入 -->
- <context:annotation-config />
- <!--enale component scanning (beware that this does not enable mapper scanning!)-->
- <context:component-scan base-package="com.apc.cms.persistence.rdbms" />
- <context:component-scan base-package="com.apc.cms.service">
- <context:include-filter type="annotation"
- expression="org.springframework.stereotype.Component" />
- </context:component-scan>
- <context:component-scan base-package="com.apc.cms.auth" />
- <!-- enable transaction demarcation with annotations -->
- <tx:annotation-driven />
- <!-- define the SqlSessionFactory -->
- <bean id="sqlSessionFactory" class="org.mybatis.spring.SqlSessionFactoryBean">
- <property name="dataSource" ref="dataSource" />
- <property name="typeAliasesPackage" value="com.apc.cms.model.domain" />
- </bean>
- <!-- scan for mappers and let them be autowired -->
- <bean class="org.mybatis.spring.mapper.MapperScannerConfigurer">
- <property name="basePackage" value="com.apc.cms.persistence" />
- <property name="sqlSessionFactory" ref="sqlSessionFactory" />
- </bean>
- <bean id="dataSource" class="com.apc.cms.utils.ChooseDataSource">
- <property name="targetDataSources">
- <map key-type="java.lang.String">
- <!-- write -->
- <entry key="write" value-ref="writeDataSource"/>
- <!-- read -->
- <entry key="read" value-ref="readDataSource"/>
- </map>
- </property>
- <property name="defaultTargetDataSource" ref="writeDataSource"/>
- </bean>
- <!-- 激活自動代理功能 -->
- <aop:aspectj-autoproxy proxy-target-class="true"/>
- <!-- 配置數據庫注解aop -->
- <bean id="dataSourceAspect" class="com.apc.cms.utils.DataSourceAspect" />
- <aop:config>
- <aop:aspect id="c" ref="dataSourceAspect">
- <aop:pointcut id="tx" expression="execution(* com.apc.cms.service..*.*(..))"/>
- <aop:before pointcut-ref="tx" method="before"/>
- </aop:aspect>
- </aop:config>
- <!-- 配置數據庫注解aop -->
7.使用注解,動態選擇數據源,分別走讀庫和寫庫
- @DataSource("write")
- public void update(User user) {
- userMapper.update(user);
- }
- @DataSource("read")
- public Document getDocById(long id) {
- return documentMapper.getById(id);
- }
測試寫操作:可以通過應用修改數據,修改主庫數據,發現從庫的數據被同步更新了,所以定義的write操作都是走的寫庫
測試讀操作: 后臺修改從庫數據,查看主庫的數據沒有被修改,在應用頁面中刷新,發現讀的是從庫的數據,說明讀寫分離ok。
測試讀操作: 后臺修改從庫數據,查看主庫的數據沒有被修改,在應用頁面中刷新,發現讀的是從庫的數據,說明讀寫分離ok。
http://www.sunyaozong.com/mysql-read-write-sepreate-solution-by-spring-aop/
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