互連網架構演化中 資料庫最佳化是不可或缺的一環,資料庫層面最佳化分為兩個階段:讀寫分離、分庫分表。
今天要說的是 資料庫讀寫分離技術,其原理就是一個Master資料庫,多個Slave資料庫。Master庫負責資料更新和即時資料查詢,Slave庫當然負責非即時資料查詢。因為在實際的應用中,資料庫都是讀多寫少(讀取資料的頻率高,更新資料的頻率相對較少),而讀取資料通常耗時比較長,佔用資料庫伺服器的CPU較多,從而影響使用者體驗。
我們通常的做法就是把查詢從主庫中抽取出來,分發到多個從庫上,減輕主庫的壓力。
採用讀寫分離技術的目標:有效減輕Master庫的壓力,又可以把使用者查詢資料的請求分發到不同的Slave庫,從而保證系統的健壯性。 實現原理
在DAO實作類別的方法加上@RoutingDataSource註解,然後通過Spring AOP技術在運行時攔截DAO的方法,擷取方法上的@RoutingDataSource註解值動態切換資料來源。 代碼實現 1、Spring動態資料源
1、spring-dao.xml
<?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:tx="http://www.springframework.org/schema/tx" xmlns:context="http://www.springframework.org/schema/context" xmlns:util="http://www.springframework.org/schema/util" xsi:schemaLocation=" http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx.xsd http://www.springframework.org/schema/util http://www.springframework.org/schema/util/spring-util.xsd http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context.xsd" default-lazy-init="false"> <bean id="parentDataSource" class="com.alibaba.druid.pool.DruidDataSource" destroy-method="close" abstract="true" init-method="init" > <!-- 初始化串連大小 --> <property name="initialSize" value="2" /> <!-- 串連池最大使用串連數量 --> <property name="maxActive" value="10" /> <!-- 串連池最小空閑 --> <property name="minIdle" value="5" /> <!-- 擷取串連最大等待時間 --> <property name="maxWait" value="30000" /> <!-- <property name="poolPreparedStatements" value="true" /> --> <!-- <property name="maxPoolPreparedStatementPerConnectionSize" value="33" /> --> <property name="validationQuery" value="SELECT 1" /> <property name="testOnBorrow" value="false" /> <property name="testOnReturn" value="false" /> <property name="testWhileIdle" value="true" /> <!-- 配置間隔多久才進行一次檢測,檢測需要關閉的空閑串連,單位是毫秒 --> <property name="timeBetweenEvictionRunsMillis" value="60000" /> <!-- 配置一個串連在池中最小生存的時間,單位是毫秒 --> <property name="minEvictableIdleTimeMillis" value="25200000" /> <!-- 開啟removeAbandoned功能 --> <property name="removeAbandoned" value="true" /> <!-- 1800秒,也就是30分鐘 --> <property name="removeAbandonedTimeout" value="1800" /> <!-- 關閉abanded串連時輸出錯誤記錄檔 --> <property name="logAbandoned" value="true" /> <!-- 監控資料庫 --> <!-- <property name="filters" value="stat" /> --> <property name="filters" value="mergeStat" /> </bean> <!-- 配置資料來源--> <bean id="masterDataSource" parent="parentDataSource"> <property name="url" value="#{jdbc['master.jdbc.url']}" /> <property name="username" value="#{jdbc['master.jdbc.username']}" /> <property name="password" value="#{jdbc['master.jdbc.password']}" /> <property name="driverClassName" value="#{jdbc['master.jdbc.driver']}" /> <property name="maxActive" value="15" /> </bean> <bean id="slaveDataSource" parent="parentDataSource"> <property name="url" value="#{jdbc['slave1.jdbc.url']}" /> <property name="username" value="#{jdbc['slave1.jdbc.username']}" /> <property name="password" value="#{jdbc['slave1.jdbc.password']}" /> <property name="driverClassName" value="#{jdbc['slave1.jdbc.driver']}" /> </bean> <!--動態資料源--> <bean id="dataSource" class="com.bytebeats.spring4.sample.ds.DynamicRoutingDataSource"> <property name="targetDataSources"> <map key-type="com.bytebeats.spring4.sample.ds.RoutingStrategy"> <entry key="WRITE" value-ref="masterDataSource"/> <entry key="READ" value-ref="slaveDataSource"/> </map> </property> <!-- 預設目標資料來源為主庫資料來源 --> <property name="defaultTargetDataSource" ref="masterDataSource"/> </bean> <!--Spring JdbcTemplate--> <bean id="jdbcTemplate" class="org.springframework.jdbc.core.JdbcTemplate"> <property name="dataSource" ref="dataSource"/> </bean> <!-- 註解方式配置事物 --> <tx:annotation-driven transaction-manager="transactionManager" /> <!-- 配置交易管理員 --> <bean id="transactionManager" class="org.springframework.jdbc.datasource.DataSourceTransactionManager"> <property name="dataSource" ref="masterDataSource" /> </bean></beans>
2、動態資料源實現
DynamicRoutingDataSource.java
package com.bytebeats.spring4.sample.ds;import org.springframework.jdbc.datasource.lookup.AbstractRoutingDataSource;/** * 動態資料源 * * @author Ricky Fung * @create 2016-12-30 11:12 */public class DynamicRoutingDataSource extends AbstractRoutingDataSource { @Override protected Object determineCurrentLookupKey() { return DynamicRoutingContextHolder.getRouteStrategy(); }}
DynamicRoutingContextHolder.java
package com.bytebeats.spring4.sample.ds;import org.springframework.util.Assert;/** * ${DESCRIPTION} * * @author Ricky Fung * @create 2016-12-30 11:14 */public class DynamicRoutingContextHolder { private static final ThreadLocal<RoutingStrategy> contextHolder = new ThreadLocal<>(); public static void setRouteStrategy(RoutingStrategy customerType) { Assert.notNull(customerType, "customerType cannot be null"); contextHolder.set(customerType); } public static RoutingStrategy getRouteStrategy() { return (RoutingStrategy) contextHolder.get(); } public static void clearRouteStrategy() { contextHolder.remove(); }}
RoutingStrategy.java
package com.bytebeats.spring4.sample.ds;/** * 讀寫策略 * * @author Ricky Fung * @create 2016-12-30 11:14 */public enum RoutingStrategy { WRITE, READ;}
資料來源註解
package com.bytebeats.spring4.sample.annotation;import com.bytebeats.spring4.sample.ds.RoutingStrategy;import java.lang.annotation.ElementType;import java.lang.annotation.Retention;import java.lang.annotation.RetentionPolicy;import java.lang.annotation.Target;/** * ${DESCRIPTION} * * @author Ricky Fung * @date 2016-12-30 15:26 */@Retention(RetentionPolicy.RUNTIME)@Target(ElementType.METHOD)public @interface RoutingDataSource { RoutingStrategy value();}
Spring AOP
1、spring-aop.xml
<?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:aop="http://www.springframework.org/schema/aop" xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd http://www.springframework.org/schema/aop http://www.springframework.org/schema/aop/spring-aop-4.0.xsd http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context-4.0.xsd"> <!-- 配置AOP --> <aop:aspectj-autoproxy /> <bean id="readWriteSeparateAspect" class="com.bytebeats.spring4.sample.aop.DBReadWriteSeparateAspect" /> <aop:config> <aop:aspect ref="readWriteSeparateAspect"> <aop:pointcut id="rw" expression="execution(* com.bytebeats.spring4.sample.dao.*.*(..))" /> <aop:before pointcut-ref="rw" method="before" /> </aop:aspect> </aop:config></beans>
2、切面類
package com.bytebeats.spring4.sample.aop;import com.bytebeats.spring4.sample.annotation.RoutingDataSource;import com.bytebeats.spring4.sample.ds.DynamicRoutingContextHolder;import org.aspectj.lang.JoinPoint;import org.aspectj.lang.reflect.MethodSignature;import org.slf4j.Logger;import org.slf4j.LoggerFactory;import java.lang.reflect.Method;/** * ${DESCRIPTION} * * @author Ricky Fung * @date 2016-12-30 16:59 */public class DBReadWriteSeparateAspect { private final Logger logger = LoggerFactory.getLogger(getClass()); public void before(JoinPoint point) { Object target = point.getTarget(); String methodName = point.getSignature().getName(); Class<?> clazz = target.getClass(); logger.info("before class:{} method:{} execute", clazz.getName(), methodName); Class<?>[] parameterTypes = ((MethodSignature) point.getSignature()).getMethod().getParameterTypes(); try { Method method = clazz.getMethod(methodName, parameterTypes); if (method != null && method.isAnnotationPresent(RoutingDataSource.class)) { RoutingDataSource data = method.getAnnotation(RoutingDataSource.class); DynamicRoutingContextHolder.setRouteStrategy(data.value()); logger.info("class:{} method:{} 切換資料來源:{} 成功", clazz.getName(), methodName, data.value()); } } catch (Exception e) { logger.error("資料來源切換切面異常", e); } }}
如何使用
假設有一個訂單庫,現在要實現訂單表的插入和查詢,IOrderDao介面定義如下:
package com.bytebeats.spring4.sample.dao;import com.bytebeats.spring4.sample.domain.Order;import java.util.List;/** * ${DESCRIPTION} * * @author Ricky Fung * @create 2016-12-30 11:15 */public interface IOrderDao { long insert(Order order); List<Order> queryOrders();}
我們期望insert路由到主庫上,queryOrders路由到從庫上,那麼我們只需要在這兩個方法上增加@RoutingDataSource註解即可,OrderDaoImpl 代碼如下:
package com.bytebeats.spring4.sample.dao.impl;import com.bytebeats.spring4.sample.annotation.RoutingDataSource;import com.bytebeats.spring4.sample.dao.IOrderDao;import com.bytebeats.spring4.sample.domain.Order;import com.bytebeats.spring4.sample.ds.RoutingStrategy;import org.springframework.jdbc.core.JdbcTemplate;import org.springframework.jdbc.core.RowMapper;import org.springframework.stereotype.Repository;import javax.annotation.Resource;import java.sql.ResultSet;import java.sql.SQLException;import java.util.List;/** * ${DESCRIPTION} * * @author Ricky Fung * @create 2016-12-30 11:16 */@Repository("orderDao")public class OrderDaoImpl implements IOrderDao { @Resource(name = "jdbcTemplate") private JdbcTemplate jdbcTemplate; @RoutingDataSource(RoutingStrategy.WRITE) @Override public long insert(Order order) { String sql = "INSERT INTO tb_order(customer_name,total_price,amount,address) VALUES (?,?,?,?)"; return jdbcTemplate.update(sql, order.getCustomerName(), order.getTotalPrice(), order.getAmount(), order.getAddress()); } @RoutingDataSource(RoutingStrategy.READ</