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  • mybatis 二级缓存

    Mybatis读取缓存次序:

    1. 先从二级缓存中获取数据,如果有直接获取,如果没有进行下一步;
    2. 从一级缓存中取数据,有直接获取,如果没有进行下一步;
    3. 到数据库中进行查询,并保存到一级缓存中;
    4. 当sqlSession关闭的时候,把一级缓存中的数据保存在二级缓存中。

    二级缓存的使用:

    myBatis的二级缓存默认是不开启的。我们需要在mybatis的核心配置文件中配置setting选项 和 在Mapper的配置文件中加入cache标签

    启用二缓存分两步:

    1、mybatis-config.xml中配置全局的参数       

    <!-- 开启二缓存 -->
            <setting name="cacheEnabled" value="true" />

    2.Mapper配置文件中书写Cache标签

                    <cache></cache>

    3、实体bean对象要实现java.io.Serializable接口

    public class Clazz implements Serializable {
        private int id;
        private String name;
        private List<Student> stus;

    没有实现java.io.Serializable接口的错误提示:

    @Test
        public void testSecondCache1() {
            System.out.println("==================testSecondCache1()======================");
            SqlSession session = sqlSessionFactory.openSession();
            ClazzMapper clazzMapper = session.getMapper(ClazzMapper.class);
            Clazz clazz1 = clazzMapper.queryClazzById(1);
            System.out.println("clazz1 = " + clazz1);
            session.close();
            
            SqlSession session2 = sqlSessionFactory.openSession();
            ClazzMapper clazzMapper2 = session2.getMapper(ClazzMapper.class);
            Clazz clazz2 = clazzMapper2.queryClazzById(1);
            System.out.println("clazz2 = " + clazz2);
            session2.close();
        }

    开启缓存后运行结果:

    ==================testSecondCache1()======================
    DEBUG [main] - Cache Hit Ratio [com.soyoungboy.onetomany.mapper.ClazzMapper]: 0.0
    DEBUG [main] - Opening JDBC Connection
    DEBUG [main] - Created connection 1791868405.
    DEBUG [main] - Setting autocommit to false on JDBC Connection [com.mysql.jdbc.JDBC4Connection@6acdbdf5]
    DEBUG [main] - ==>  Preparing: select c.*,s.id stu_id,s.name stu_name from t_clazz c left join t_student s on c.id = s.clazz_id where c.id = ? 
    DEBUG [main] - ==> Parameters: 1(Integer)
    DEBUG [main] - <==      Total: 3
    clazz1 = Clazz [id=1, name=javaEE20170228, stus=[Student [id=1, name=stu0228_张三, clazz=null], Student [id=2, name=stu0228_李四, clazz=null], Student [id=3, name=stu0228_王五, clazz=null]]]
    DEBUG [main] - Resetting autocommit to true on JDBC Connection [com.mysql.jdbc.JDBC4Connection@6acdbdf5]
    DEBUG [main] - Closing JDBC Connection [com.mysql.jdbc.JDBC4Connection@6acdbdf5]
    DEBUG [main] - Returned connection 1791868405 to pool.
    DEBUG [main] - Cache Hit Ratio [com.soyoungboy.onetomany.mapper.ClazzMapper]: 0.5
    clazz2 = Clazz [id=1, name=javaEE20170228, stus=[Student [id=1, name=stu0228_张三, clazz=null], Student [id=2, name=stu0228_李四, clazz=null], Student [id=3, name=stu0228_王五, clazz=null]]]

    常用的属性

    userCache

      userCache默认值是true,表示启用缓存。

      如果设置useCache为false就表示不启用二级缓存,不影响一级缓存。

    <!-- // 根据 id 查询 key的信息 -->
        <!-- public Key queryKeyById(int id); -->
        <select id="queryClazzById" parameterType="int"
            resultMap="queryClazzById_resultMap" useCache="false">
            select c.*,s.id
            stu_id,s.name stu_name from
            t_clazz c left join t_student s
            on
            c.id =
            s.clazz_id
            where
            c.id = #{id}
    
        </select>

    运行结果:

    结果:
    ==================testSecondCache1()======================
    DEBUG [main] - Opening JDBC Connection
    DEBUG [main] - Created connection 394714818.
    DEBUG [main] - Setting autocommit to false on JDBC Connection [com.mysql.jdbc.JDBC4Connection@1786dec2]
    DEBUG [main] - ==>  Preparing: select c.*,s.id stu_id,s.name stu_name from t_clazz c left join t_student s on c.id = s.clazz_id where c.id = ? 
    DEBUG [main] - ==> Parameters: 1(Integer)
    DEBUG [main] - <==      Total: 3
    clazz1 = Clazz [id=1, name=javaEE20170228, stus=[Student [id=1, name=stu0228_张三, clazz=null], Student [id=2, name=stu0228_李四, clazz=null], Student [id=3, name=stu0228_王五, clazz=null]]]
    DEBUG [main] - Resetting autocommit to true on JDBC Connection [com.mysql.jdbc.JDBC4Connection@1786dec2]
    DEBUG [main] - Closing JDBC Connection [com.mysql.jdbc.JDBC4Connection@1786dec2]
    DEBUG [main] - Returned connection 394714818 to pool.
    DEBUG [main] - Opening JDBC Connection
    DEBUG [main] - Checked out connection 394714818 from pool.
    DEBUG [main] - Setting autocommit to false on JDBC Connection [com.mysql.jdbc.JDBC4Connection@1786dec2]
    DEBUG [main] - ==>  Preparing: select c.*,s.id stu_id,s.name stu_name from t_clazz c left join t_student s on c.id = s.clazz_id where c.id = ? 
    DEBUG [main] - ==> Parameters: 1(Integer)
    DEBUG [main] - <==      Total: 3
    clazz2 = Clazz [id=1, name=javaEE20170228, stus=[Student [id=1, name=stu0228_张三, clazz=null], Student [id=2, name=stu0228_李四, clazz=null], Student [id=3, name=stu0228_王五, clazz=null]]]
    DEBUG [main] - Resetting autocommit to true on JDBC Connection [com.mysql.jdbc.JDBC4Connection@1786dec2]
    DEBUG [main] - Closing JDBC Connection [com.mysql.jdbc.JDBC4Connection@1786dec2]
    DEBUG [main] - Returned connection 394714818 to pool.

    flushCache

    flushCache属性默认值是true,在update标签,delete标签,insert标签中有。

    表示当执行插入,修改,删除语句的时候,会清空缓存。

    如果设置为false,很有肯能会产生脏数据。

    xml文件配置:

    <!-- // 根据 id 查询 key的信息 -->
        <!-- public Key queryKeyById(int id); -->
        <select id="queryClazzById" parameterType="int"
            resultMap="queryClazzById_resultMap" useCache="true">
            select c.*,s.id
            stu_id,s.name stu_name from
            t_clazz c left join t_student s
            on
            c.id =
            s.clazz_id
            where
            c.id = #{id}
    
        </select>
    
        <update id="updateClazz" parameterType="com.soyoungboy.onetomany.bean.Clazz"
            flushCache="false">
            update t_clazz set name =
            #{name} where id = #{id}
        </update>

    测试的java代码:

    @Test
        public void testSecondCacheUpdate() {
            System.out.println("======================================================");
            SqlSession session = sqlSessionFactory.openSession();
            ClazzMapper userMapper = session.getMapper(ClazzMapper.class);
             Clazz user = userMapper.queryClazzById(1);
            System.out.println(user);
            session.close();
            
            SqlSession session2 = sqlSessionFactory.openSession();
            ClazzMapper userMapper2 = session2.getMapper(ClazzMapper.class);
            userMapper2.updateClazz(new Clazz(1, "更新了"));
            session2.commit();
            session2.close();
            
            
            SqlSession session1 = sqlSessionFactory.openSession();
            ClazzMapper userMapper1 = session1.getMapper(ClazzMapper.class);
            user = userMapper1.queryClazzById(1);
            System.out.println(user);
            session1.close();
            System.out.println("======================================================");
        }

    现在看看是否产生脏数据:

    ======================================================
    DEBUG [main] - Cache Hit Ratio [com.soyoungboy.onetomany.mapper.ClazzMapper]: 0.0
    DEBUG [main] - Opening JDBC Connection
    DEBUG [main] - Created connection 1791868405.
    DEBUG [main] - Setting autocommit to false on JDBC Connection [com.mysql.jdbc.JDBC4Connection@6acdbdf5]
    DEBUG [main] - ==>  Preparing: select c.*,s.id stu_id,s.name stu_name from t_clazz c left join t_student s on c.id = s.clazz_id where c.id = ? 
    DEBUG [main] - ==> Parameters: 1(Integer)
    DEBUG [main] - <==      Total: 3
    Clazz [id=1, name=javaEE20170228, stus=[Student [id=1, name=stu0228_张三, clazz=null], Student [id=2, name=stu0228_李四, clazz=null], Student [id=3, name=stu0228_王五, clazz=null]]]
    DEBUG [main] - Resetting autocommit to true on JDBC Connection [com.mysql.jdbc.JDBC4Connection@6acdbdf5]
    DEBUG [main] - Closing JDBC Connection [com.mysql.jdbc.JDBC4Connection@6acdbdf5]
    DEBUG [main] - Returned connection 1791868405 to pool.
    DEBUG [main] - Opening JDBC Connection
    DEBUG [main] - Checked out connection 1791868405 from pool.
    DEBUG [main] - Setting autocommit to false on JDBC Connection [com.mysql.jdbc.JDBC4Connection@6acdbdf5]
    DEBUG [main] - ==>  Preparing: update t_clazz set name = ? where id = ? 
    DEBUG [main] - ==> Parameters: 更新了(String), 1(Integer)
    DEBUG [main] - <==    Updates: 1
    DEBUG [main] - Committing JDBC Connection [com.mysql.jdbc.JDBC4Connection@6acdbdf5]
    DEBUG [main] - Resetting autocommit to true on JDBC Connection [com.mysql.jdbc.JDBC4Connection@6acdbdf5]
    DEBUG [main] - Closing JDBC Connection [com.mysql.jdbc.JDBC4Connection@6acdbdf5]
    DEBUG [main] - Returned connection 1791868405 to pool.
    DEBUG [main] - Cache Hit Ratio [com.soyoungboy.onetomany.mapper.ClazzMapper]: 0.5
    Clazz [id=1, name=javaEE20170228, stus=[Student [id=1, name=stu0228_张三, clazz=null], Student [id=2, name=stu0228_李四, clazz=null], Student [id=3, name=stu0228_王五, clazz=null]]]
    如上所示,当usecache为true ,flushcache为false,不清空的时候就会出现脏数据

    中间更新了数据为"更新了",但是接下来数据并没有读取更新后的数据,而是读取缓存中原有的数据,即脏数据。

    <cache></cache>标签的介绍和说明undefined

    默认的<cache/>标签的作用:

    1、映射语句文件中的所有 select 语句将会被缓存。

    2、射语句文件中的所有 insert,update 和 delete 语句会刷新缓存。

    3、缓存会使用 Least Recently Used(LRU,最近最少使用的)算法来收回。

    4、根据时间表(比如 no Flush Interval,没有刷新间隔), 缓存不会以任何时间顺序 来刷新。

    5、缓存会存储列表集合或对象(无论查询方法返回什么)的 1024 个引用。

    6、缓存会被视为是 read/write(可读/可写)的缓存,意味着对象检索不是共享的,而 且可以安全地被调用者修改,而不干扰其他调用者或线程所做的潜在修改。

    cache标签示例解析:

    <cache eviction="FIFO" flushInterval="60000" size="512" readOnly="true"/>

    eviction 属性表示缓存策略。

    • LRU – 最近最少使用的:移除最长时间不被使用的对象。
    • FIFO – 先进先出:按对象进入缓存的顺序来移除它们。
    • SOFT – 软引用:移除基于垃圾回收器状态和软引用规则的对象。
    • WEAK – 弱引用:更积极地移除基于垃圾收集器状态和弱引用规则的对象。

    默认的是 LRU。

    flushInterval 属性表示间隔多长时间刷新一下缓冲区,清理一下溢出的数据。以毫秒为单位。

    size 属性表示缓存中可以保存多少个对象。默认是1024。

    readOnly 属性表示是否只读。如果设置为true。表示缓存中只有一个对象。如果设置为false(默认)每次取出来都会反序列化拷贝一份。

    type 属性表示自定义二级缓存对象。 

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  • 原文地址:https://www.cnblogs.com/androidsuperman/p/7327668.html
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