Mybatis 的三种执行器

Vincent-yuan

发布于 2021-11-02 15:11:57

6781

发布于 2021-11-02 15:11:57

文章被收录于专栏：Vincent-yuanVincent-yuan

在企业开发中, 对数据库的批量操作, 是一个非常常见的操作, Mybatis提供了批量执行器, 来支持批量操作.

1. Mybatis sql执行器

Mybatis 支持全局修改执行器, 参数名为: defaultExecutorType. 但是笔者并不推荐这种方式,笔者建议在获取sqlSession对象时设置.

Mybatis 共有三种执行器:

SIMPLE: 默认的执行器, 对每条sql进行预编译->设置参数->执行等操作
BATCH: 批量执行器, 对相同sql进行一次预编译, 然后设置参数, 最后统一执行操作
REUSE: REUSE 执行器会重用预处理语句（prepared statements

1.1 局部设置

在获取sqlSession时设置, 需要注意的时, 如果选择的是批量执行器时, 需要手工提交事务.

// 获取指定执行器的sqlSession
SqlSession sqlSession = sqlSessionFactory.openSession(ExecutorType.BATCH)

// 获取批量执行器时, 需要手动提交事务
sqlSession.commit();

1.2 全局配置

可在全局配置文件中配置, 但是笔者不推荐这种方式, 了解即可.

<settings>
    <setting name="defaultExecutorType" value="BATCH" />
</settings>

2. 三种执行器测试

对于单挑sql执行, 不同的执行器没有太大的差异, 所以笔者使用批量插入操作来测试不同执行器的不同行为方式. 需要特别注意的时, 当选择批量执行器时, 纵使在获取sqlSession时, 设置了自动提交事务, 也需要手动提交事务

2.1 映射文件

为保证测试条件尽可能一致, 笔者写里一个清空表的方法, 在每个测试用例执行之前, 先清空表.

<mapper namespace="org.zongf.learn.mybatis3.l01.mapper.StudentMapper">

    <!-- 清空表中数据, 同时重置自增序列从0开始 -->
    <delete id="clear">
        truncate table t_student
    </delete>

    <!-- 新增 -->
    <insert id="save" useGeneratedKeys="true" keyProperty="id">
        insert into t_student  values (null , #{name}, #{age}, #{sex}, #{birth})
    </insert>

</mapper>

2.2 测试用例

public class TestStudentMapper {

    // 批量保存方法
    private void batchSave(StudentMapper mapper) {

        // 初始化10000个对象
        List<StudentPO> list = new ArrayList<>();
        for (int i = 0; i < 10000; i++) {
            list.add(new StudentPO("zhangsan_" + i, "M",20 + i % 10,  LocalDate.now()));
        }

        // 批量执行
        long start = System.currentTimeMillis();
        for (StudentPO studentPO : list) {
            mapper.save(studentPO);
        }
        long end = System.currentTimeMillis();

        // 输出执行耗时
        System.out.println("耗时:" + (end - start) + " ms!");
    }

    // 每次执行前,请空表
    @Before
    public void setUp(){
        StudentMapper studentMapper = SqlSessionUtil.getMapper(StudentMapper.class);
        studentMapper.clear();
    }

    // 默认执行器
    @Test
    public void test_SIMPLE(){
        // 获取自动提交事务的Maper
        StudentMapper mapper = SqlSessionUtil.getMapperAutoTx(StudentMapper.class);

        // 执行批量保存
        batchSave(mapper);
    }

    // 重用预编译执行器
    @Test
    public void test_REUSE(){
        // 获取批量保存sqlSession
        SqlSession sqlSession = SqlSessionUtil.openSession(ExecutorType.REUSE, true);

        // 获取Mapper 对象
        StudentMapper mapper = sqlSession.getMapper(StudentMapper.class);

        // 执行批量保存
        batchSave(mapper);

    }

    // 批量执行器
    @Test
    public void test_BATCH(){
        // 获取批量保存sqlSession
        SqlSession sqlSession = SqlSessionUtil.openSession(ExecutorType.BATCH, true);

        // 获取Mapper 对象
        StudentMapper mapper = sqlSession.getMapper(StudentMapper.class);

        // 执行批量保存
        batchSave(mapper);

        sqlSession.commit();
    }
}

3. 批量测试日志分析

从测试结果可以看出, 在做批量操作时, 使用批量执行器, 性能会有很大的提升.

3.1 SIMPLE 方式

从执行日志可以看出, 每次插入操作, 都会执行编译, 设置参数, 执行sql操作.

[2019-06-13 11:30:38:812][main][DEBUG][o.z.l.m.l.mapper.StudentMapper.save]- ==>  Preparing: insert into t_student values (null , ?, ?, ?, ?) 
[2019-06-13 11:30:38:819][main][DEBUG][o.z.l.m.l.mapper.StudentMapper.save]- ==> Parameters: zhangsan_0(String), 20(Integer), M(String), 2019-06-13(Date)
[2019-06-13 11:30:38:824][main][DEBUG][o.z.l.m.l.mapper.StudentMapper.save]- <==    Updates: 1

[2019-06-13 11:30:38:827][main][DEBUG][o.z.l.m.l.mapper.StudentMapper.save]- ==>  Preparing: insert into t_student values (null , ?, ?, ?, ?) 
[2019-06-13 11:30:38:828][main][DEBUG][o.z.l.m.l.mapper.StudentMapper.save]- ==> Parameters: zhangsan_1(String), 21(Integer), M(String), 2019-06-13(Date)
[2019-06-13 11:30:38:832][main][DEBUG][o.z.l.m.l.mapper.StudentMapper.save]- <==    Updates: 1

[2019-06-13 11:30:38:833][main][DEBUG][o.z.l.m.l.mapper.StudentMapper.save]- ==>  Preparing: insert into t_student values (null , ?, ?, ?, ?) 
[2019-06-13 11:30:38:839][main][DEBUG][o.z.l.m.l.mapper.StudentMapper.save]- ==> Parameters: zhangsan_2(String), 22(Integer), M(String), 2019-06-13(Date)
[2019-06-13 11:30:38:841][main][DEBUG][o.z.l.m.l.mapper.StudentMapper.save]- <==    Updates: 1
...
耗时:21575 ms!

3.2 REUSE 方式

从执行日志可以看出, 只有第一次插入操作, 执行了sql编译步骤, 对其它插入操作执行了设置参数, 执行sql的操作.

[2019-06-13 11:31:11:752][main][DEBUG][o.z.l.m.l.mapper.StudentMapper.save]- ==>  Preparing: insert into t_student values (null , ?, ?, ?, ?) 

[2019-06-13 11:31:11:757][main][DEBUG][o.z.l.m.l.mapper.StudentMapper.save]- ==> Parameters: zhangsan_0(String), 20(Integer), M(String), 2019-06-13(Date)
[2019-06-13 11:31:11:759][main][DEBUG][o.z.l.m.l.mapper.StudentMapper.save]- <==    Updates: 1

[2019-06-13 11:31:11:761][main][DEBUG][o.z.l.m.l.mapper.StudentMapper.save]- ==> Parameters: zhangsan_1(String), 21(Integer), M(String), 2019-06-13(Date)
[2019-06-13 11:31:11:764][main][DEBUG][o.z.l.m.l.mapper.StudentMapper.save]- <==    Updates: 1

[2019-06-13 11:31:11:776][main][DEBUG][o.z.l.m.l.mapper.StudentMapper.save]- ==> Parameters: zhangsan_2(String), 22(Integer), M(String), 2019-06-13(Date)
[2019-06-13 11:31:11:778][main][DEBUG][o.z.l.m.l.mapper.StudentMapper.save]- <==    Updates: 1
...
耗时:19322 ms!

3.3 BATCH

从执行日志可以看出, 只对第一次插入操作执行了sql编译操作, 对其它插入操作仅执行了设置参数操作, 最后统一执行.

[2019-06-13 11:31:29:270][main][DEBUG][o.z.l.m.l.mapper.StudentMapper.save]- ==>  Preparing: insert into t_student values (null , ?, ?, ?, ?) 
[2019-06-13 11:31:29:276][main][DEBUG][o.z.l.m.l.mapper.StudentMapper.save]- ==> Parameters: zhangsan_0(String), 20(Integer), M(String), 2019-06-13(Date)
[2019-06-13 11:31:29:277][main][DEBUG][o.z.l.m.l.mapper.StudentMapper.save]- ==> Parameters: zhangsan_1(String), 21(Integer), M(String), 2019-06-13(Date)
[2019-06-13 11:31:29:277][main][DEBUG][o.z.l.m.l.mapper.StudentMapper.save]- ==> Parameters: zhangsan_2(String), 22(Integer), M(String), 2019-06-13(Date)
...
耗时:835 ms!

参考：https://blog.csdn.net/zongf0504/article/details/100104029

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原始发表：2021-10-31 ，如有侵权请联系 cloudcommunity@tencent.com 删除

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