Cheng's Blog | SpringCloud➕Mybatis➕Eureka➕Feign➕Seata分布式事务???

Seata简介

Seata(Simple Extensible Autonomous Transaction Architecture) 是阿里巴巴开源的分布式事务中间件，以高效并且对业务 0 侵入的方式，解决微服务场景下面临的分布式事务问题。

Seata官方文档

下载

首先需要安装seata服务，里面有linux、windows同时用的安装包 Seata下载

启动seata服务

解压压缩包
修改conf文件夹中的file.conf,如果要使用mysql8以上的依赖版本将store.db.driver-class-name改为com.mysql.cj.jdbc.Driver
修改conf文件夹中的registry.conf，type改成eureka(图中忘记标注)，其中eureka中的application对应的则是seata服务的名称
启动eureka
点击bin文件夹中的seata-server.bat启动seata服务，我们可以通过eureka看到seata服务已经以8091端口启动

配置数据库

数据库中执行以下sql，创建seata事务所需要的表以及测试表：

CREATE TABLE `branch_table`  (
  `branch_id` bigint(20) NOT NULL,
  `xid` varchar(128) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
  `transaction_id` bigint(20) NULL DEFAULT NULL,
  `resource_group_id` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `resource_id` varchar(256) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `branch_type` varchar(8) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `status` tinyint(4) NULL DEFAULT NULL,
  `client_id` varchar(64) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `application_data` varchar(2000) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `gmt_create` datetime(0) NULL DEFAULT NULL,
  `gmt_modified` datetime(0) NULL DEFAULT NULL,
  PRIMARY KEY (`branch_id`) USING BTREE,
  INDEX `idx_xid`(`xid`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Compact;

CREATE TABLE `global_table`  (
  `xid` varchar(128) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
  `transaction_id` bigint(20) NULL DEFAULT NULL,
  `status` tinyint(4) NOT NULL,
  `application_id` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `transaction_service_group` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `transaction_name` varchar(128) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `timeout` int(11) NULL DEFAULT NULL,
  `begin_time` bigint(20) NULL DEFAULT NULL,
  `application_data` varchar(2000) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `gmt_create` datetime(0) NULL DEFAULT NULL,
  `gmt_modified` datetime(0) NULL DEFAULT NULL,
  PRIMARY KEY (`xid`) USING BTREE,
  INDEX `idx_gmt_modified_status`(`gmt_modified`, `status`) USING BTREE,
  INDEX `idx_transaction_id`(`transaction_id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Compact;

CREATE TABLE `lock_table`  (
  `row_key` varchar(128) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
  `xid` varchar(96) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `transaction_id` bigint(20) NULL DEFAULT NULL,
  `branch_id` bigint(20) NOT NULL,
  `resource_id` varchar(256) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `table_name` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `pk` varchar(36) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL,
  `gmt_create` datetime(0) NULL DEFAULT NULL,
  `gmt_modified` datetime(0) NULL DEFAULT NULL,
  PRIMARY KEY (`row_key`) USING BTREE,
  INDEX `idx_branch_id`(`branch_id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Compact;

CREATE TABLE `undo_log` (
  `id` bigint(20) NOT NULL AUTO_INCREMENT,
  `branch_id` bigint(20) NOT NULL,
  `xid` varchar(100) NOT NULL,
  `context` varchar(128) NOT NULL,
  `rollback_info` longblob NOT NULL,
  `log_status` int(11) NOT NULL,
  `log_created` datetime NOT NULL,
  `log_modified` datetime NOT NULL,
  `ext` varchar(100) DEFAULT NULL,
  PRIMARY KEY (`id`),
  UNIQUE KEY `ux_undo_log` (`xid`,`branch_id`)
) ENGINE=InnoDB AUTO_INCREMENT=1 DEFAULT CHARSET=utf8;

#####测试表####
CREATE TABLE `test`  (
  `id` int(11) NOT NULL AUTO_INCREMENT,
  `amount` int(11) NULL DEFAULT NULL,
  `paydate` date NULL DEFAULT NULL,
  PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB AUTO_INCREMENT = 19 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_general_ci ROW_FORMAT = Compact;

项目中的使用

在需要使用事务的模块中添加以下依赖：

<dependency>
    <groupId>mysql</groupId>
    <artifactId>mysql-connector-java</artifactId>
    <!--根据seata中配置的mysql驱动版本替换-->
    <!--<version>5.1.37</version>-->
    <version>8.0.19</version>
</dependency>
<!--seata-->
<dependency>
    <groupId>com.alibaba.cloud</groupId>
    <artifactId>spring-cloud-alibaba-seata</artifactId>
    <version>2.1.0.RELEASE</version>
    <exclusions>
        <exclusion>
            <artifactId>seata-all</artifactId>
            <groupId>io.seata</groupId>
        </exclusion>
    </exclusions>
</dependency>
<dependency>
    <groupId>io.seata</groupId>
    <artifactId>seata-all</artifactId>
    <version>1.3.0</version>
</dependency>

在需要使用事务的模块中application.yml配置seata与mybatis
在项目resources目录下创建file.conf，填入以下文本，并配置service中的vgroupMapping.my_test_tx_group = "default"，my_test_tx_group是上图中的tx-service-group后面的名字，default是seata的服务名，我们在上面配的就是默认的default。

transport {
  # tcp udt unix-domain-socket
  type = "TCP"
  #NIO NATIVE
  server = "NIO"
  #enable heartbeat
  heartbeat = true
  # the client batch send request enable
  enableClientBatchSendRequest = true
  #thread factory for netty
  threadFactory {
    bossThreadPrefix = "NettyBoss"
    workerThreadPrefix = "NettyServerNIOWorker"
    serverExecutorThread-prefix = "NettyServerBizHandler"
    shareBossWorker = false
    clientSelectorThreadPrefix = "NettyClientSelector"
    clientSelectorThreadSize = 1
    clientWorkerThreadPrefix = "NettyClientWorkerThread"
    # netty boss thread size,will not be used for UDT
    bossThreadSize = 1
    #auto default pin or 8
    workerThreadSize = "default"
  }
  shutdown {
    # when destroy server, wait seconds
    wait = 3
  }
  serialization = "seata"
  compressor = "none"
}
service {
  #transaction service group mapping
  #值为registry.conf得eureka里面的application,my_test_tx_group与application.yml中的cloud:alibaba:seata:tx-service-group:后的值相同
  vgroupMapping.my_test_tx_group = "default"
  #only support when registry.type=file, please don't set multiple addresses
  default.grouplist = "127.0.0.1:8091"
  #degrade, current not support
  enableDegrade = false
  #disable seata
  disableGlobalTransaction = false
}

client {
  rm {
    asyncCommitBufferLimit = 10000
    lock {
      retryInterval = 10
      retryTimes = 30
      retryPolicyBranchRollbackOnConflict = true
    }
    reportRetryCount = 5
    tableMetaCheckEnable = false
    reportSuccessEnable = false
  }
  tm {
    commitRetryCount = 5
    rollbackRetryCount = 5
  }
  undo {
    dataValidation = true
    logSerialization = "jackson"
    logTable = "undo_log"
  }
  log {
    exceptionRate = 100
  }
}

在项目resources目录下创建registry.conf，修改eureka的serviceUrl为你的eureka地址,application则是上面配的seata的服务名。

registry {
  # file 、nacos 、eureka、redis、zk、consul、etcd3、sofa
  type = "eureka"

  nacos {
    serverAddr = "localhost"
    namespace = ""
    cluster = "default"
  }
  eureka {
    serviceUrl = "http://localhost:1002/eureka"
    application = "default"
    weight = "1"
  }
  redis {
    serverAddr = "localhost:6379"
    db = "0"
    password = ""
    cluster = "default"
    timeout = "0"
  }
  zk {
    cluster = "default"
    serverAddr = "127.0.0.1:2181"
    session.timeout = 6000
    connect.timeout = 2000
    username = ""
    password = ""
  }
  consul {
    cluster = "default"
    serverAddr = "127.0.0.1:8500"
  }
  etcd3 {
    cluster = "default"
    serverAddr = "http://localhost:2379"
  }
  sofa {
    serverAddr = "127.0.0.1:9603"
    application = "default"
    region = "DEFAULT_ZONE"
    datacenter = "DefaultDataCenter"
    cluster = "default"
    group = "SEATA_GROUP"
    addressWaitTime = "3000"
  }
  file {
    name = "file.conf"
  }
}

config {
  # file、nacos 、apollo、zk、consul、etcd3、springCloudConfig
  type = "file"

  nacos {
    serverAddr = "localhost"
    namespace = ""
    group = "SEATA_GROUP"
  }
  consul {
    serverAddr = "127.0.0.1:8500"
  }
  apollo {
    app.id = "seata-server"
    apollo.meta = "http://192.168.1.204:8801"
    namespace = "application"
  }
  zk {
    serverAddr = "127.0.0.1:2181"
    session.timeout = 6000
    connect.timeout = 2000
    username = ""
    password = ""
  }
  etcd3 {
    serverAddr = "http://localhost:2379"
  }
  file {
    name = "file.conf"
  }
}

目录如下图所示：

在需要事务管理的模块中创建DataSourceConfiguration:

import com.alibaba.druid.pool.DruidDataSource;
import io.seata.rm.datasource.DataSourceProxy;
import org.apache.ibatis.session.SqlSessionFactory;
import org.mybatis.spring.SqlSessionFactoryBean;
import org.mybatis.spring.transaction.SpringManagedTransactionFactory;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;
import org.springframework.core.io.support.PathMatchingResourcePatternResolver;

import javax.sql.DataSource;

/**
 * 数据源代理
 * @author wangzhongxiang
 */
@Configuration
public class DataSourceConfiguration {

    @Bean
    @ConfigurationProperties(prefix = "spring.datasource")
    public DataSource druidDataSource(){
        DruidDataSource druidDataSource = new DruidDataSource();
        return druidDataSource;
    }

    @Primary
    @Bean("dataSource")
    public DataSourceProxy dataSource(DataSource druidDataSource){
        return new DataSourceProxy(druidDataSource);
    }


    @Bean
    public SqlSessionFactory sqlSessionFactory(DataSourceProxy dataSourceProxy)throws Exception{
        SqlSessionFactoryBean sqlSessionFactoryBean = new SqlSessionFactoryBean();
        sqlSessionFactoryBean.setDataSource(dataSourceProxy);
        sqlSessionFactoryBean.setMapperLocations(new PathMatchingResourcePatternResolver()
                .getResources("classpath*:/mapper/*.xml"));
        sqlSessionFactoryBean.setTransactionFactory(new SpringManagedTransactionFactory());
        return sqlSessionFactoryBean.getObject();
    }

}

启动类禁用数据源自动配置类，在需要事务管理的模块中的启动类上添加@SpringBootApplication(exclude = DataSourceAutoConfiguration.class)
在通过feign调用其他服务的service上添加注解 @GlobalTransactional，此时就开起了全局事务管理。

测试

我们在调用方的service中插入一条数据，并在此service中通过feign调用接收方的方法，并也添加一条数据。调用方service: 调用方feign: 接收方service: 由于我们在接收方添加了除零异常，所以调用方的数据和接收方的数据都不会被添加到数据库中。如果正常执行没有异常，则两条数据都会插入进去，这里不做演示了。

源码地址：

springcloud脚手架，包含Seata分布式事物