目录
搭建Mysql的主从配置
前面已经介绍过,这里就偷个懒不再多说,不懂的可以查看MySQL主从同步
代码层的读写分离
在读写分离的实现上,Spring为我们提供了路由数据源的AbstractRoutingDataSource抽象类,我们只需编写一个新的类继承它,即可在不改变原有的代码的基础上实现读写分离。
1.创建 DyncmicDataSourceHolder 类
public class DyncmicDataSourceHolder {
private static Logger logger=LoggerFactory.getLogger(DyncmicDataSourceHolder.class);
/**
* 保证线程安全,使用线程threadlocal
*/
private static ThreadLocal<String> contextHolder=new ThreadLocal<String>();
public static final String DB_MASTER="master";
public static final String DB_SLAVE="slave";
/**
* @return java.lang.String
* @description 获取连接类型
*/
public static String getDbType(){
String db=contextHolder.get();
if (StringUtils.isBlank(db)) {
db=DB_MASTER;
}
return db;
}
/**
* 设置数据源类型
* @param str
*/
public static void setDbType(String str){
logger.debug("使用数据源类型---"+str);
contextHolder.set(str);
}
/**
* 清理连接类型
*/
public static void clearDaType(){
contextHolder.remove();
}
}
2.创建 DynamicDataSource,继承AbstractRoutingDataSource
public class DynamicDataSource extends AbstractRoutingDataSource {
@Override
protected Object determineCurrentLookupKey() {
return DynamicDataSouceHolder.getDbType();
}
}
3 创建DyncmicDataSourceInterceptor,mybatis拦截器
@Intercepts({@Signature(type = Executor.class, method = "update", args = {MappedStatement.class,
Object.class}),
@Signature(type = Executor.class, method = "query", args = {MappedStatement.class, Object.class,
RowBounds.class, ResultHandler.class})})
public class DynamicDataSourceInterceptor implements Interceptor {
private static Logger logger = LoggerFactory.getLogger(DynamicDataSourceInterceptor.class);
// 写操作的正则表达式
private static final String REGEX = ".*insert\\u0020.*||.*delete\\u0020|.*update\\u0020.*";
@Override
public Object intercept(Invocation invocation) throws Throwable {
// 判断方法是否是被事务管理的
boolean synchronizationAction = TransactionSynchronizationManager.isActualTransactionActive();
//获取sql 中的参数
Object[] objects = invocation.getArgs();
MappedStatement mappedStatement = (MappedStatement) objects[0];
//数据源key
String lookupKey = DynamicDataSouceHolder.DB_MASTER;
if (!synchronizationAction) {
// 读方法
if (mappedStatement.getSqlCommandType().equals(SqlCommandType.SELECT)) {
//selectKey为自增id查询主键(SELECT LAST_INSERT_ID)方法
if (mappedStatement.getId().contains(SelectKeyGenerator.SELECT_KEY_SUFFIX)) {
lookupKey = DynamicDataSouceHolder.DB_MASTER;
} else {
//获取sql 语句
BoundSql boundSql = mappedStatement.getSqlSource().getBoundSql(objects[1]);
String sql = boundSql.getSql().toLowerCase(Locale.CHINA).replace("\\t\\n\\r", " ");
if (sql.matches(REGEX)) {
lookupKey = DynamicDataSouceHolder.DB_MASTER;
} else {
lookupKey = DynamicDataSouceHolder.DB_SLAVE;
}
}
}
} else {
lookupKey = DynamicDataSouceHolder.DB_MASTER;
}
logger.debug("设置方法[{}] use [{}] Strategy,SqlCommandType [{}]...", mappedStatement.getId(),
lookupKey, mappedStatement.getSqlCommandType().name());
DynamicDataSouceHolder.setDbType(lookupKey);
return invocation.proceed();
}
@Override
public Object plugin(Object target) {
//Executor表示含有增删改查的操作 的对象
if (target instanceof Executor) {
//有增删改查的操作,就调用拦截方法
return Plugin.wrap(target, this);
} else {
//无增删改查的操作。不做处理
return target;
}
}
@Override
public void setProperties(Properties properties) {
}
}
4.修改mybatis-config
<?xml version="1.0" encoding="UTF-8" ?>
<!DOCTYPE configuration
PUBLIC "-//mybatis.org//DTD Config 3.0//EN"
"http://mybatis.org/dtd/mybatis-3-config.dtd">
<configuration>
<!-- 配置全局属性 -->
<settings>
<!-- 使用jdbc的getGeneratedKeys获取数据库自增主键值 -->
<setting name="useGeneratedKeys" value="true" />
<!-- 使用列别名替换列名 默认:true -->
<setting name="useColumnLabel" value="true" />
<!-- 开启驼峰命名转换:Table{create_time} -> Entity{createTime} -->
<setting name="mapUnderscoreToCamelCase" value="true" />
<!-- 打印查询语句 -->
<setting name="logImpl" value="STDOUT_LOGGING" />
</settings>
<plugins>
<!--自定义的mybatis拦截器-->
<plugin interceptor="com.learn.interceptor.DynamicDataSourceInterceptor"></plugin>
<!--分页插件-->
<plugin interceptor="com.github.pagehelper.PageHelper">
<!-- 告诉分页插件是哪个数据库 -->
<property name="dialect" value="mysql"/>
</plugin>
</plugins>
</configuration>
5.修改spring-dao.xml
<!--数据源-->
<bean id="abstractDataSource" abstract="true" class="com.mchange.v2.c3p0.ComboPooledDataSource"
destroy-method="close">
<!-- c3p0连接池的私有属性 -->
<property name="maxPoolSize" value="30"/>
<property name="minPoolSize" value="10"/>
<!-- 关闭连接后不自动commit -->
<property name="autoCommitOnClose" value="false"/>
<!-- 获取连接超时时间 -->
<property name="checkoutTimeout" value="10000"/>
<!-- 当获取连接失败重试次数 -->
<property name="acquireRetryAttempts" value="2"/>
</bean>
<!--主数据源-->
<bean id="masterDataSource" parent="abstractDataSource">
<!-- 配置连接池属性 -->
<property name="driverClass" value="${jdbc.driver}"/>
<property name="jdbcUrl" value="${jdbc.master.url}"/>
<property name="user" value="${jdbc.master.username}"/>
<property name="password" value="${jdbc.master.password}"/>
</bean>
<!--从数据源-->
<bean id="slaveDataSource" parent="abstractDataSource">
<!-- 配置连接池属性 -->
<property name="driverClass" value="${jdbc.driver}"/>
<property name="jdbcUrl" value="${jdbc.slave.url}"/>
<property name="user" value="${jdbc.slave.username}"/>
<property name="password" value="${jdbc.slave.password}"/>
</bean>
<!--配置动态数据源-->
<bean id="dynamicDataSource" class="com.learn.dao.split.DynamicDataSource">
<property name="targetDataSources">
<map>
<entry key="master" value-ref="masterDataSource"/>
<entry key="slave" value-ref="slaveDataSource"/>
</map>
</property>
</bean>
<!--由于在运行时决定使用哪个数据源,所以使用懒加载-->
<bean id="dataSource" class="org.springframework.jdbc.datasource.LazyConnectionDataSourceProxy">
<property name="targetDataSource">
<ref bean="dynamicDataSource"/>
</property>
</bean>
6 修改jdbc.properties
jdbc.driver=com.mysql.jdbc.Driver
jdbc.master.url=jdbc:mysql://172.17.0.2:3306/o2o?useUnicode=true&characterEncoding=utf8
jdbc.slave.url=jdbc:mysql://172.17.0.3:3306/o2o?useUnicode=true&characterEncoding=utf8
jdbc.master.username=******
jdb.master.password=******
jdbc.slave.username=******
jdb.slave.password=******
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参考文章:https://blog.youkuaiyun.com/jessDL/article/details/82725957