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如何在MyBatis中使用BATCH批量提交?针对这个问题,这篇文章详细介绍了相对应的分析和解答,希望可以帮助更多想解决这个问题的小伙伴找到更简单易行的方法。
@Autowired private SqlSessionFactory sqlSessionFactory; @Transactional(rollbackFor = Exception.class) @Override public void batchTest() { SqlSession sqlSession = sqlSessionFactory.openSession(ExecutorType.BATCH); CountryMapper mapper = sqlSession.getMapper(CountryMapper.class); List<Country> countries = mapper.selectAll(); for (int i = 0; i < countries.size(); i++) { Country country = countries.get(i); country.setCountryname(country.getCountryname() + "Test"); mapper.updateByPrimaryKey(country); //每 50 条提交一次 if((i + 1) % 50 == 0){ sqlSession.flushStatements(); } } sqlSession.flushStatements(); }
在上面例子中,在Service
中直接注入了SqlSessionFactory
,通过下面方法获取了一个可以批量提交的SqlSession
:
SqlSession sqlSession = sqlSessionFactory.openSession(ExecutorType.BATCH);
后续通过SqlSession
直接执行方法,或者获取的Mapper
接口,都使用的批量提交方式。
上述代码执行过程中输出的日志如下:
DEBUG - Creating new transaction with name [com.isea533.mybatis.service.impl.CountryServiceImpl.batchTest]: PROPAGATION_REQUIRED,ISOLATION_DEFAULT
DEBUG - Acquired Connection [com.alibaba.druid.proxy.jdbc.ConnectionProxyImpl@752c11a2] for JDBC transaction
DEBUG - Switching JDBC Connection [com.alibaba.druid.proxy.jdbc.ConnectionProxyImpl@752c11a2] to manual commit
DEBUG - JDBC Connection [com.alibaba.druid.proxy.jdbc.ConnectionProxyImpl@752c11a2] will be managed by Spring
DEBUG - ==> Preparing: SELECT Id,countryname,countrycode FROM country
DEBUG - ==> Parameters:
DEBUG - <== Total: 183
DEBUG - ==> Preparing: UPDATE country SET Id = Id,countryname = ?,countrycode = ? WHERE Id = ?
DEBUG - ==> Parameters: AngolaTest(String), AO(String), 1(Integer)
DEBUG - ==> Parameters: AfghanistanTest(String), AF(String), 2(Integer)
DEBUG - ==> Parameters: AlbaniaTest(String), AL(String), 3(Integer)
==========================================
...省略中间部分参数
==========================================
DEBUG - ==> Parameters: EthiopiaTest(String), ET(String), 50(Integer)
DEBUG - ==> Preparing: UPDATE country SET Id = Id,countryname = ?,countrycode = ? WHERE Id = ?
DEBUG - ==> Parameters: FijiTest(String), FJ(String), 51(Integer)
DEBUG - ==> Parameters: FinlandTest(String), FI(String), 52(Integer)
==========================================
...省略中间部分参数
==========================================
DEBUG - ==> Parameters: MadagascarTest(String), MG(String), 98(Integer)
DEBUG - ==> Parameters: MalawiTest(String), MW(String), 99(Integer)
DEBUG - ==> Parameters: MalaysiaTest(String), MY(String), 100(Integer)
DEBUG - ==> Preparing: UPDATE country SET Id = Id,countryname = ?,countrycode = ? WHERE Id = ?
DEBUG - ==> Parameters: MaldivesTest(String), MV(String), 101(Integer)
DEBUG - ==> Parameters: MaliTest(String), ML(String), 102(Integer)
==========================================
...省略中间部分参数
==========================================
DEBUG - ==> Parameters: South AfricaTest(String), ZA(String), 149(Integer)
DEBUG - ==> Parameters: SpainTest(String), ES(String), 150(Integer)
DEBUG - ==> Preparing: UPDATE country SET Id = Id,countryname = ?,countrycode = ? WHERE Id = ?
DEBUG - ==> Parameters: Sri LankaTest(String), LK(String), 151(Integer)
DEBUG - ==> Parameters: St.LuciaTest(String), LC(String), 152(Integer)
==========================================
...省略中间部分参数
==========================================
DEBUG - ==> Parameters: ZaireTest(String), ZR(String), 182(Integer)
DEBUG - ==> Parameters: ZambiaTest(String), ZM(String), 183(Integer)
==========================================
下面事务自动提交
==========================================
DEBUG - Initiating transaction commit
DEBUG - Committing JDBC transaction on Connection [com.alibaba.druid.proxy.jdbc.ConnectionProxyImpl@752c11a2]
DEBUG - Releasing JDBC Connection [com.alibaba.druid.proxy.jdbc.ConnectionProxyImpl@752c11a2] after transaction
DEBUG - Returning JDBC Connection to DataSource
注意事项
1. 事务
由于在 Spring 集成的情况下,事务连接由 Spring 管理(SpringManagedTransaction),所以这里不需要手动关闭 sqlSession,在这里手动提交(commit)或者回滚(rollback)也是无效的。
2. 批量提交
批量提交只能应用于 insert, update, delete。
并且在批量提交使用时,如果在操作同一SQL时中间插入了其他数据库操作,就会让批量提交方式变成普通的执行方式,所以在使用批量提交时,要控制好 SQL 执行顺序。
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