使用Redis做Mybatis二级缓存

介绍

  1. 使用mybatis时可以使用二级缓存提高查询速度,进而改善用户体验。
  2. 使用redis做mybatis的二级缓存可是内存可控<如将单独的服务器部署出来用于二级缓存>,管理方便。

相关jar包

jedis-2.9.0.jar  
spring-data-commons-1.13.7.RELEASE.jar
spring-data-keyvalue-1.2.7.RELEASE.jar
spring-data-redis-1.8.7.RELEASE.jar
使用思路
  1. 配置redis.xml 设置redis服务连接各参数
  2. 在配置文件中使用 标签,设置开启二级缓存
  3. 在mapper.xml 中使用 将cache映射到指定的RedisCacheClass类中
  4. 映射类RedisCacheClass 实现 MyBatis包中的Cache类,并重写其中各方法
  • 在重写各方法体中,使用redisFactory和redis服务建立连接,将缓存的数据加载到指定的redis内存中(putObject方法)或将redis服务中的数据从缓存中读取出来(getObject方法);

  • 在redis服务中写入和加载数据时需要借用spring-data-redis.jar中JdkSerializationRedisSerializer.class中的序列化(serialize)和反序列化方法(deserialize),此为包中封装的redis默认的序列化方法

  1. 映射类中的各方法重写完成后即可实现mybatis数据二级缓存到redis服务中

代码实践

  1. 在springmvc.xml 中配置redis相关配置、或者直接写redis.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:p="http://www.springframework.org/schema/p"
xmlns:mvc="http://www.springframework.org/schema/mvc"
xmlns:aop="http://www.springframework.org/schema/aop"
xmlns:tx="http://www.springframework.org/schema/tx"
xmlns:context="http://www.springframework.org/schema/context"
xmlns:task="http://www.springframework.org/schema/task"
xsi:schemaLocation="http://www.springframework.org/schema/beans
http://www.springframework.org/schema/beans/spring-beans-3.0.xsd
http://www.springframework.org/schema/mvc
http://www.springframework.org/schema/mvc/spring-mvc-3.0.xsd
http://www.springframework.org/schema/aop
http://www.springframework.org/schema/aop/spring-aop-3.0.xsd
http://www.springframework.org/schema/tx 
http://www.springframework.org/schema/tx/spring-tx.xsd
http://www.springframework.org/schema/context
http://www.springframework.org/schema/context/spring-context-3.0.xsd
http://www.springframework.org/schema/task
http://www.springframework.org/schema/task/spring-task-3.0.xsd" >

<!-- enable autowire -->

 <context:annotation-config /> 

<task:annotation-driven/>

<context:component-scan base-package="demo.util,demo.salesorder,demo.person" />
<!-- Configures the @Controller programming model 必须加上这个,不然请求controller时会出现no mapping url错误-->
<mvc:annotation-driven />
<!-- 引入数据库配置文件 -->
<bean id="propertyConfigurer"    class="org.springframework.beans.factory.config.PropertyPlaceholderConfigurer">
    <property name="locations">
        <list>
            <value>classpath:sysconfig/jdbc.properties</value>
            <value>classpath:sysconfig/redis.properties</value>
        </list>
    </property>
</bean>
<!-- JDBC -->
<bean id="defaultDataSource"   class="org.apache.commons.dbcp.BasicDataSource" destroy-method="close"
    p:driverClassName="${jdbc.driverClassName}"
    p:url="${jdbc.databaseurl}"
    p:username="${jdbc.username}"
    p:password="${jdbc.password}" >
    <property name="maxActive">
        <value>${jdbc.maxActive}</value>
    </property>  
    <property name="initialSize">
        <value>${jdbc.initialSize}</value>
    </property>  
    <property name="maxWait">
        <value>${jdbc.maxWait}</value>
    </property>  
    <property name="maxIdle">
        <value>${jdbc.maxIdle}</value>
    </property>
    <property name="minIdle">
        <value>${jdbc.minIdle}</value>
    </property>
    <!-- 只要下面两个参数设置成小于8小时(MySql默认),就能避免MySql的8小时自动断开连接问题 -->
    <property name="timeBetweenEvictionRunsMillis">
        <value>18000000</value>
    </property><!-- 5小时 -->
    <property name="minEvictableIdleTimeMillis">
        <value>10800000</value>
    </property><!-- 3小时 -->
    <property name="validationQuery">
        <value>SELECT 1</value>
    </property>
    <property name="testOnBorrow">
        <value>true</value>
    </property>
</bean>

<!-- define the SqlSessionFactory -->
<bean id="sqlSessionFactory" class="org.mybatis.spring.SqlSessionFactoryBean">
    <property name="dataSource" ref="defaultDataSource" />
    <property name="typeAliasesPackage" value="demo.salesorder,demo.person" />
    <!-- 可以单独指定mybatis的配置文件,或者写在本文件里面。 用下面的自动扫描装配(推荐)或者单独mapper --> 
    <property name="configLocation" value="classpath:sysconfig/mybatis-config.xml" />
</bean>


<!-- 自动扫描并组装MyBatis的映射文件和接口-->
<bean class="org.mybatis.spring.mapper.MapperScannerConfigurer">
    <property name="basePackage" value="demo.*.data" />
    <property name="sqlSessionFactoryBeanName" value="sqlSessionFactory"></property>
</bean>

<!-- JDBC END -->

<!-- redis数据源 -->
<bean id="poolConfig" class="redis.clients.jedis.JedisPoolConfig">  
    <property name="maxIdle" value="${redis.maxIdle}" />  
    <property name="maxTotal" value="${redis.maxActive}" />  
    <property name="maxWaitMillis" value="${redis.maxWait}" />  
    <property name="testOnBorrow" value="${redis.testOnBorrow}" />  
</bean>

<!-- Spring-redis连接池管理工厂 -->
<bean id="jedisConnectionFactory" class="org.springframework.data.redis.connection.jedis.JedisConnectionFactory">
    <property name="hostName" value="${redis.host}" />
    <property name="port" value="${redis.port}" />
    <property name="password" value="${redis.pass}" />
    <property name="timeout" value="${redis.timeout}" />
    <property name="poolConfig" ref="poolConfig" />
</bean>      
<!-- 使用中间类解决RedisCache.jedisConnectionFactory的静态注入,从而使MyBatis实现第三方缓存 -->
<bean id="redisCacheTransfer" class="demo.redis.RedisCacheTransfer">
    <property name="jedisConnectionFactory" ref="jedisConnectionFactory"/>
</bean>      

<bean class="demo.util.UTF8StringBeanPostProcessor"></bean>          
</beans>    
  1. mybatis.xml 配置开启二级缓存

     <?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mybatis的缓存,延迟加载等等一系列属性 -->
       <settings>
     <!-- 全局映射器启用缓存 *主要将此属性设置完成即可-->
     <setting name="cacheEnabled" value="true"/>
    
     <!-- 查询时,关闭关联对象即时加载以提高性能 -->
     <setting name="lazyLoadingEnabled" value="false"/>
    
     <!-- 对于未知的SQL查询,允许返回不同的结果集以达到通用的效果 -->
     <setting name="multipleResultSetsEnabled" value="true"/>
    
     <!-- 设置关联对象加载的形态,此处为按需加载字段(加载字段由SQL指 定),不会加载关联表的所有字段,以提高性能 -->
     <setting name="aggressiveLazyLoading" value="true"/>
    
    </settings>
    </configuration>
    
  2. 在mapper.xml中映射缓存类RedisCacheClass

      <?xml version="1.0" encoding="UTF-8"?>
     <!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN"
     "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
    
     <mapper namespace="demo.person.data.UserMapper">
     <cache type="demo.redis.cache.RedisCache"/> <!-- *映射语句 -->
    
     <select id="getPersonList" parameterType="map" resultType="Person">
         select *    
          from person
         <where>
             1=1
             <if test="user_name!=null">
                 and user_name=#{user_name}
             </if>    
         </where>
     </select>
     <insert id="addPerson" parameterType="Person" keyProperty="id" useGeneratedKeys="true">
         insert into person(
             login_id,
             user_name,
             gender,
             birthday,
             remark
         )values(
             #{login_id},
             #{user_name},
             #{gender},
             #{birthday},
             #{remark}
         )
     </insert>
    
     </mapper>
    
  3. 实现Mybatis中的Cache接口

  • Cache.class源码:

      /*
       *    Copyright 2009-2012 the original author or authors.
       *    http://www.apache.org/licenses/LICENSE-2.0*/
      package org.apache.ibatis.cache;
    
      import java.util.concurrent.locks.ReadWriteLock;
    
      public interface Cache {
    
        String getId();
    
        int getSize();
    
        void putObject(Object key, Object value);
    
        Object getObject(Object key);
    
        Object removeObject(Object key);
    
        void clear();
    
        ReadWriteLock getReadWriteLock();
    
      }
    
  • RedisCache.java

      package demo.redis.cache;
    
      import java.util.concurrent.locks.ReadWriteLock;
      import java.util.concurrent.locks.ReentrantReadWriteLock;
    
      import org.apache.ibatis.cache.Cache;
      import org.slf4j.Logger;
      import org.slf4j.LoggerFactory;
      import org.springframework.data.redis.connection.jedis.JedisConnection;
      import org.springframework.data.redis.connection.jedis.JedisConnectionFactory;
      import org.springframework.data.redis.serializer.JdkSerializationRedisSerializer;
      import org.springframework.data.redis.serializer.RedisSerializer;
    
      import redis.clients.jedis.exceptions.JedisConnectionException;
    
    
      public class RedisCache implements Cache //实现类
      {
          private static final Logger logger = LoggerFactory.getLogger(RedisCache.class);
    
          private static JedisConnectionFactory jedisConnectionFactory;
    
          private final String id;
    
          /**
           * The {@code ReadWriteLock}.
           */
          private final ReadWriteLock readWriteLock = new ReentrantReadWriteLock();
    
          public RedisCache(final String id) {
              if (id == null) {
                  throw new IllegalArgumentException("Cache instances require an ID");
              }
              logger.debug("MybatisRedisCache:id=" + id);
              this.id = id;
          }
    
          @Override
          public void clear()
          {
              JedisConnection connection = null;
              try
              {
                  connection = jedisConnectionFactory.getConnection(); //连接清除数据
                  connection.flushDb();
                  connection.flushAll();
              }
              catch (JedisConnectionException e)
              {
                  e.printStackTrace();
              }
              finally
              {
                  if (connection != null) {
                      connection.close();
                  }
              }
          }
    
          @Override
          public String getId()
          {
              return this.id;
          }
    
          @Override
          public Object getObject(Object key)
          {
              Object result = null;
              JedisConnection connection = null;
              try
              {
                  connection = jedisConnectionFactory.getConnection();
                  RedisSerializer<Object> serializer = new JdkSerializationRedisSerializer(); //借用                spring_data_redis.jar中的JdkSerializationRedisSerializer.class
                  result = serializer.deserialize(connection.get(serializer.serialize(key))); //利用其反序列化方法获取值
              }
              catch (JedisConnectionException e)
              {
                  e.printStackTrace();
              }
              finally
              {
                  if (connection != null) {
                      connection.close();
                  }
              }
              return result;
          }
    
          @Override
          public ReadWriteLock getReadWriteLock()
          {
              return this.readWriteLock;
          }
    
          @Override
          public int getSize()
          {
              int result = 0;
              JedisConnection connection = null;
              try
              {
                  connection = jedisConnectionFactory.getConnection();
                  result = Integer.valueOf(connection.dbSize().toString());
              }
              catch (JedisConnectionException e)
              {
                  e.printStackTrace();
              }
              finally
              {
                  if (connection != null) {
                      connection.close();
                  }
              }
              return result;
          }
    
          @Override
          public void putObject(Object key, Object value)
          {
              JedisConnection connection = null;
              try
              {
                  logger.info(">>>>>>>>>>>>>>>>>>>>>>>>putObject:"+key+"="+value);
                  connection = jedisConnectionFactory.getConnection();
                  RedisSerializer<Object> serializer = new JdkSerializationRedisSerializer(); //借用        spring_data_redis.jar中的JdkSerializationRedisSerializer.class
                  connection.set(serializer.serialize(key), serializer.serialize(value)); //利用其序列化方法将数据写入redis服务的缓存中
    
              }
              catch (JedisConnectionException e)
              {
                  e.printStackTrace();
              }
              finally
              {
                  if (connection != null) {
                      connection.close();
                  }
              }
          }
    
          @Override
          public Object removeObject(Object key)
          {
              JedisConnection connection = null
              Object result = null;
              try
              {
                  connection = jedisConnectionFactory.getConnection();
                  RedisSerializer<Object> serializer = new JdkSerializationRedisSerializer();
                  result =connection.expire(serializer.serialize(key), 0);
              }
              catch (JedisConnectionException e)
              {
                  e.printStackTrace();
              }
              finally
              {
                  if (connection != null) {
                      connection.close();
                  }
              }
              return result;
          }
    
          public static void setJedisConnectionFactory(JedisConnectionFactory jedisConnectionFactory) {
              RedisCache.jedisConnectionFactory = jedisConnectionFactory;
          }
    
      }
    
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