参考:https://zhuanlan.zhihu.com/p/159450620
首先,到底啥是分布式事务呢,比如我们在执行一个业务逻辑的时候有两步分别操作A数据源和B数据源,当我们在A数据源执行数据更改后,在B数据源执行时出现运行时异常,那么我们必须要让B数据源的操作回滚,并回滚对A数据源的操作;这种情况在支付业务时常常出现;比如买票业务在最后支付失败,那之前的操作必须全部回滚,如果之前的操作分布在多个数据源中,那么这就是典型的分布式事务回滚;
了解了什么是分布式事务,那分布式事务在java的解决方案就是JTA(即Java Transaction API);springboot官方提供了 Atomikos or Bitronix的解决思路;
其实,大多数情况下很多公司是使用消息队列的方式实现分布式事务。
本篇文章重点讲解springboot环境下,整合 Atomikos +mysql+mybatis+tomcat/jetty;
一、项目依赖
pom.xml中添加atomikos的springboot相关依赖:
<!--分布式事务--> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-jta-atomikos</artifactId> </dependency>
点进去会发现里面整合好了:transactions-jms、transactions-jta、transactions-jdbc、javax.transaction-api
二、把数据源的相关配置项单独提炼到一个application.yml中:
注意:
1.这回我们的spring.datasource.type 是com.alibaba.druid.pool.xa.DruidXADataSource;
2.spring.jta.transaction-manager-id的值在你的电脑中是唯一的,这个详细请阅读官方文档;
完整的yml文件如下:
spring: datasource: type: com.alibaba.druid.pool.xa.DruidXADataSource druid: systemDB: name: systemDB url: jdbc:mysql://localhost:3306/springboot-mybatis?useUnicode=true&characterEncoding=utf-8 username: root password: root # 下面为连接池的补充设置,应用到上面所有数据源中 # 初始化大小,最小,最大 initialSize: 5 minIdle: 5 maxActive: 20 # 配置获取连接等待超时的时间 maxWait: 60000 # 配置间隔多久才进行一次检测,检测需要关闭的空闲连接,单位是毫秒 timeBetweenEvictionRunsMillis: 60000 # 配置一个连接在池中最小生存的时间,单位是毫秒 minEvictableIdleTimeMillis: 30 validationQuery: SELECT 1 validationQueryTimeout: 10000 testWhileIdle: true testOnBorrow: false testOnReturn: false # 打开PSCache,并且指定每个连接上PSCache的大小 poolPreparedStatements: true maxPoolPreparedStatementPerConnectionSize: 20 filters: stat,wall # 通过connectProperties属性来打开mergeSql功能;慢SQL记录 connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000 # 合并多个DruidDataSource的监控数据 useGlobalDataSourceStat: true businessDB: name: businessDB url: jdbc:mysql://localhost:3306/springboot-mybatis2?useUnicode=true&characterEncoding=utf-8 username: root password: root # 下面为连接池的补充设置,应用到上面所有数据源中 # 初始化大小,最小,最大 initialSize: 5 minIdle: 5 maxActive: 20 # 配置获取连接等待超时的时间 maxWait: 60000 # 配置间隔多久才进行一次检测,检测需要关闭的空闲连接,单位是毫秒 timeBetweenEvictionRunsMillis: 60000 # 配置一个连接在池中最小生存的时间,单位是毫秒 minEvictableIdleTimeMillis: 30 validationQuery: SELECT 1 validationQueryTimeout: 10000 testWhileIdle: true testOnBorrow: false testOnReturn: false # 打开PSCache,并且指定每个连接上PSCache的大小 poolPreparedStatements: true maxPoolPreparedStatementPerConnectionSize: 20 filters: stat,wall # 通过connectProperties属性来打开mergeSql功能;慢SQL记录 connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000 # 合并多个DruidDataSource的监控数据 useGlobalDataSourceStat: true #jta相关参数配置 jta: log-dir: classpath:tx-logs transaction-manager-id: txManager
三、在DruidConfig.java中实现多个数据源的注册;分布式事务管理器的注册;druid的注册;
package com.zjt.config; import com.alibaba.druid.filter.stat.StatFilter; import com.alibaba.druid.support.http.StatViewServlet; import com.alibaba.druid.support.http.WebStatFilter; import com.alibaba.druid.wall.WallConfig; import com.alibaba.druid.wall.WallFilter; import com.atomikos.icatch.jta.UserTransactionImp; import com.atomikos.icatch.jta.UserTransactionManager; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.boot.jta.atomikos.AtomikosDataSourceBean; import org.springframework.boot.web.servlet.FilterRegistrationBean; import org.springframework.boot.web.servlet.ServletRegistrationBean; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; import org.springframework.context.annotation.Primary; import org.springframework.core.env.Environment; import org.springframework.transaction.jta.JtaTransactionManager; import javax.sql.DataSource; import javax.transaction.UserTransaction; import java.util.Properties; /** * Druid配置 * * */ @Configuration public class DruidConfig { @Bean(name = "systemDataSource") @Primary @Autowired public DataSource systemDataSource(Environment env) { AtomikosDataSourceBean ds = new AtomikosDataSourceBean(); Properties prop = build(env, "spring.datasource.druid.systemDB."); ds.setXaDataSourceClassName("com.alibaba.druid.pool.xa.DruidXADataSource"); ds.setUniqueResourceName("systemDB"); ds.setPoolSize(5); ds.setXaProperties(prop); return ds; } @Autowired @Bean(name = "businessDataSource") public AtomikosDataSourceBean businessDataSource(Environment env) { AtomikosDataSourceBean ds = new AtomikosDataSourceBean(); Properties prop = build(env, "spring.datasource.druid.businessDB."); ds.setXaDataSourceClassName("com.alibaba.druid.pool.xa.DruidXADataSource"); ds.setUniqueResourceName("businessDB"); ds.setPoolSize(5); ds.setXaProperties(prop); return ds; } /** * 注入事物管理器 * @return */ @Bean(name = "xatx") public JtaTransactionManager regTransactionManager () { UserTransactionManager userTransactionManager = new UserTransactionManager(); UserTransaction userTransaction = new UserTransactionImp(); return new JtaTransactionManager(userTransaction, userTransactionManager); } private Properties build(Environment env, String prefix) { Properties prop = new Properties(); prop.put("url", env.getProperty(prefix + "url")); prop.put("username", env.getProperty(prefix + "username")); prop.put("password", env.getProperty(prefix + "password")); prop.put("driverClassName", env.getProperty(prefix + "driverClassName", "")); prop.put("initialSize", env.getProperty(prefix + "initialSize", Integer.class)); prop.put("maxActive", env.getProperty(prefix + "maxActive", Integer.class)); prop.put("minIdle", env.getProperty(prefix + "minIdle", Integer.class)); prop.put("maxWait", env.getProperty(prefix + "maxWait", Integer.class)); prop.put("poolPreparedStatements", env.getProperty(prefix + "poolPreparedStatements", Boolean.class)); prop.put("maxPoolPreparedStatementPerConnectionSize", env.getProperty(prefix + "maxPoolPreparedStatementPerConnectionSize", Integer.class)); prop.put("maxPoolPreparedStatementPerConnectionSize", env.getProperty(prefix + "maxPoolPreparedStatementPerConnectionSize", Integer.class)); prop.put("validationQuery", env.getProperty(prefix + "validationQuery")); prop.put("validationQueryTimeout", env.getProperty(prefix + "validationQueryTimeout", Integer.class)); prop.put("testOnBorrow", env.getProperty(prefix + "testOnBorrow", Boolean.class)); prop.put("testOnReturn", env.getProperty(prefix + "testOnReturn", Boolean.class)); prop.put("testWhileIdle", env.getProperty(prefix + "testWhileIdle", Boolean.class)); prop.put("timeBetweenEvictionRunsMillis", env.getProperty(prefix + "timeBetweenEvictionRunsMillis", Integer.class)); prop.put("minEvictableIdleTimeMillis", env.getProperty(prefix + "minEvictableIdleTimeMillis", Integer.class)); prop.put("filters", env.getProperty(prefix + "filters")); return prop; } @Bean public ServletRegistrationBean druidServlet() { ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean(new StatViewServlet(), "/druid/*"); //控制台管理用户,加入下面2行 进入druid后台就需要登录 //servletRegistrationBean.addInitParameter("loginUsername", "admin"); //servletRegistrationBean.addInitParameter("loginPassword", "admin"); return servletRegistrationBean; } @Bean public FilterRegistrationBean filterRegistrationBean() { FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean(); filterRegistrationBean.setFilter(new WebStatFilter()); filterRegistrationBean.addUrlPatterns("/*"); filterRegistrationBean.addInitParameter("exclusions", "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*"); filterRegistrationBean.addInitParameter("profileEnable", "true"); return filterRegistrationBean; } @Bean public StatFilter statFilter(){ StatFilter statFilter = new StatFilter(); statFilter.setLogSlowSql(true); //slowSqlMillis用来配置SQL慢的标准,执行时间超过slowSqlMillis的就是慢。 statFilter.setMergeSql(true); //SQL合并配置 statFilter.setSlowSqlMillis(1000);//slowSqlMillis的缺省值为3000,也就是3秒。 return statFilter; } @Bean public WallFilter wallFilter(){ WallFilter wallFilter = new WallFilter(); //允许执行多条SQL WallConfig config = new WallConfig(); config.setMultiStatementAllow(true); wallFilter.setConfig(config); return wallFilter; } }
四、分别配置每个数据源对应的sqlSessionFactory,以及MapperScan扫描的包:
package com.zjt.config; import com.zjt.util.MyMapper; import org.apache.ibatis.session.SqlSessionFactory; import org.mybatis.spring.SqlSessionFactoryBean; import org.mybatis.spring.SqlSessionTemplate; import org.mybatis.spring.annotation.MapperScan; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.beans.factory.annotation.Qualifier; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; import org.springframework.core.io.support.PathMatchingResourcePatternResolver; import org.springframework.core.io.support.ResourcePatternResolver; import javax.sql.DataSource; /** * * @description */ @Configuration // 精确到 mapper 目录,以便跟其他数据源隔离 @MapperScan(basePackages = "com.zjt.mapper", markerInterface = MyMapper.class, sqlSessionFactoryRef = "sqlSessionFactory") public class MybatisDatasourceConfig { @Autowired @Qualifier("systemDataSource") private DataSource ds; @Bean public SqlSessionFactory sqlSessionFactory() throws Exception { SqlSessionFactoryBean factoryBean = new SqlSessionFactoryBean(); factoryBean.setDataSource(ds); //指定mapper xml目录 ResourcePatternResolver resolver = new PathMatchingResourcePatternResolver(); factoryBean.setMapperLocations(resolver.getResources("classpath:mapper/*.xml")); return factoryBean.getObject(); } @Bean public SqlSessionTemplate sqlSessionTemplate() throws Exception { SqlSessionTemplate template = new SqlSessionTemplate(sqlSessionFactory()); // 使用上面配置的Factory return template; } //关于事务管理器,不管是JPA还是JDBC等都实现自接口 PlatformTransactionManager // 如果你添加的是 spring-boot-starter-jdbc 依赖,框架会默认注入 DataSourceTransactionManager 实例。 //在Spring容器中,我们手工注解@Bean 将被优先加载,框架不会重新实例化其他的 PlatformTransactionManager 实现类。 /*@Bean(name = "transactionManager") @Primary public DataSourceTransactionManager masterTransactionManager() { //MyBatis自动参与到spring事务管理中,无需额外配置,只要org.mybatis.spring.SqlSessionFactoryBean引用的数据源 // 与DataSourceTransactionManager引用的数据源一致即可,否则事务管理会不起作用。 return new DataSourceTransactionManager(ds); }*/ }
package com.zjt.config; import com.zjt.util.MyMapper; import org.apache.ibatis.session.SqlSessionFactory; import org.mybatis.spring.SqlSessionFactoryBean; import org.mybatis.spring.SqlSessionTemplate; import org.mybatis.spring.annotation.MapperScan; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.beans.factory.annotation.Qualifier; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; import org.springframework.core.io.support.PathMatchingResourcePatternResolver; import org.springframework.core.io.support.ResourcePatternResolver; import javax.sql.DataSource; /** * * @description */ @Configuration // 精确到 mapper 目录,以便跟其他数据源隔离 @MapperScan(basePackages = "com.zjt.mapper2", markerInterface = MyMapper.class, sqlSessionFactoryRef = "sqlSessionFactory2") public class MybatisDatasource2Config { @Autowired @Qualifier("businessDataSource") private DataSource ds; @Bean public SqlSessionFactory sqlSessionFactory2() throws Exception { SqlSessionFactoryBean factoryBean = new SqlSessionFactoryBean(); factoryBean.setDataSource(ds); //指定mapper xml目录 ResourcePatternResolver resolver = new PathMatchingResourcePatternResolver(); factoryBean.setMapperLocations(resolver.getResources("classpath:mapper2/*.xml")); return factoryBean.getObject(); } @Bean public SqlSessionTemplate sqlSessionTemplate2() throws Exception { SqlSessionTemplate template = new SqlSessionTemplate(sqlSessionFactory2()); // 使用上面配置的Factory return template; } //关于事务管理器,不管是JPA还是JDBC等都实现自接口 PlatformTransactionManager // 如果你添加的是 spring-boot-starter-jdbc 依赖,框架会默认注入 DataSourceTransactionManager 实例。 //在Spring容器中,我们手工注解@Bean 将被优先加载,框架不会重新实例化其他的 PlatformTransactionManager 实现类。 /*@Bean(name = "transactionManager2") @Primary public DataSourceTransactionManager masterTransactionManager() { //MyBatis自动参与到spring事务管理中,无需额外配置,只要org.mybatis.spring.SqlSessionFactoryBean引用的数据源 // 与DataSourceTransactionManager引用的数据源一致即可,否则事务管理会不起作用。 return new DataSourceTransactionManager(ds); }*/ }
四、由于我们本例中只使用一个事务管理器:xatx,故就不在使用TxAdviceInterceptor.java和TxAdvice2Interceptor.java中配置的事务管理器了;有需求的童鞋可以自己配置其他的事务管理器;(见DruidConfig.java中查看)
五、新建分布式业务测试接口JtaTestService.java和实现类JtaTestServiceImpl.java
其实就是一个很简单的test01()方法,在该方法中我们分别先后调用classService.saveOrUpdateTClass(tClass);和teacherService.saveOrUpdateTeacher(teacher);
实现先后操作两个数据源:然后我们可以自己debug跟踪事务的提交时机,此外,也可以在在两个方法全执行结束之后,手动制造一个运行时异常,来检查分布式事务是否全部回滚;
在实现类的方法中我使用的是:
@Transactional(transactionManager = "xatx", propagation = Propagation.REQUIRED, rollbackFor = { java.lang.RuntimeException.class })
从而指定了使用哪个事务管理器,事务隔离级别(一般都用我这个默认的),回滚的条件(一般可以使用Exception),这三个可以自己根据业务实际修改;
package com.zjt.service3; import java.util.Map; public interface JtaTestService { public Map<String,Object> test01(); }
package com.zjt.service3.impl; import com.zjt.entity.TClass; import com.zjt.entity.Teacher; import com.zjt.service.TClassService; import com.zjt.service2.TeacherService; import com.zjt.service3.JtaTestService; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.beans.factory.annotation.Qualifier; import org.springframework.stereotype.Service; import org.springframework.transaction.annotation.Propagation; import org.springframework.transaction.annotation.Transactional; import java.util.LinkedHashMap; import java.util.Map; @Service("jtaTestServiceImpl") public class JtaTestServiceImpl implements JtaTestService{ @Autowired @Qualifier("teacherServiceImpl") private TeacherService teacherService; @Autowired @Qualifier("tclassServiceImpl") private TClassService tclassService; @Override @Transactional(transactionManager = "xatx", propagation = Propagation.REQUIRED, rollbackFor = { java.lang.RuntimeException.class }) public Map<String, Object> test01() { LinkedHashMap<String,Object> resultMap=new LinkedHashMap<String,Object>(); TClass tClass=new TClass(); tClass.setName("8888"); tclassService.saveOrUpdateTClass(tClass); Teacher teacher=new Teacher(); teacher.setName("8888"); teacherService.saveOrUpdateTeacher(teacher); System.out.println(1/0); resultMap.put("state","success"); resultMap.put("message","分布式事务同步成功"); return resultMap; } }
六、建立JtaTestContoller.java,接受一个来自前端的http请求,触发JtaTestService 的test01方法:
package com.zjt.web; import com.zjt.service3.JtaTestService; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.beans.factory.annotation.Qualifier; import org.springframework.stereotype.Controller; import org.springframework.web.bind.annotation.RequestMapping; import org.springframework.web.bind.annotation.ResponseBody; import java.util.LinkedHashMap; import java.util.Map; @Controller @RequestMapping("/jtaTest") public class JtaTestContoller { @Autowired @Qualifier("jtaTestServiceImpl") private JtaTestService taTestService; @ResponseBody @RequestMapping("/test01") public Map<String,Object> test01(){ LinkedHashMap<String,Object> resultMap=new LinkedHashMap<String,Object>(); try { return taTestService.test01(); }catch (Exception e){ resultMap.put("state","fail"); resultMap.put("message","分布式事务同步失败"); return resultMap; } } }
七、在test.ftl中增加一个按钮来测试;
//分布式事务测试 $("#JTATest").click(function(){ $.ajax({ type: "POST", url: "${basePath!}/jtaTest/test01", data: {} , async: false, error: function (request) { layer.alert("与服务器连接失败/(ㄒoㄒ)/~~"); return false; }, success: function (data) { if (data.state == 'fail') { layer.alert(data.message); return false; }else if(data.state == 'success'){ layer.alert(data.message); } } }); }); <button class="layui-btn" id="JTATest">同时向班级和老师表插入名为8888的班级和老师</button>
<button class="layui-btn" id="JTATest">同时向班级和老师表插入名为8888的班级和老师</button>
八、启动服务,验证结果:
点击这个按钮,跳转到controller:
当正常执行了sql语句之后,我们可以发现数据库并没有变化,因为整个方法的事务还没有走完,当我们走到1/0这步时:
抛出运行时异常,并被spring事务拦截器拦截,并捕获异常:
在this.completeTransactionAfterThrowing(txInfo, var16);方法中会将事务全部回滚:
22:09:04.243 logback [http-nio-8080-exec-5] INFO c.a.i.imp.CompositeTransactionImp - rollback() done of transaction 192.168.1.103.tm0000400006
此时,当我们再次打开数据库验证,依旧没有变化,证明分布式事务配置成功;
大家可以基于我的代码自己练习一下,自己尝试着使用多事务管理器的情况下的灵活配置;
九、后记:
本文源代码:https://github.com/zhaojiatao/springboot-zjt-chapter10-springboot-atomikos-mysql-mybatis-druid.git
代码在tomcat和jetty环境下均可完成事务回滚;
在事务回滚时可能报一个Transactional not active的警告,我google后,老外也说不出这个具体作用,大部分人认为这只是一个警告,可以忽略;
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版权声明:本文为CSDN博主「jaryle」的原创文章,遵循CC 4.0 BY-SA版权协议,转载请附上原文出处链接及本声明。
原文链接:https://blog.csdn.net/jaryle/article/details/88638780