spring cloud 集成Seata 快速入门

#spring cloud 集成Seata 快速入门| 来源: 网络整理| 查看: 265

Spring Cloud 快速集成 Seata 1. 添加依赖

添加Spring Cloud Alibaba 依赖管理工具和 Seata 依赖

GradleMaven

需要注意的是Spring Cloud Alibaba 的毕业版本的 GroupId 是 com.alibaba.cloud

1 2 3 4 com.alibaba.cloud 5 spring-cloud-alibaba-dependencies 6 2.1.0.RELEASE 7 pom 8 import 9 10 11 12 13 14 com.alibaba.cloud 15 spring-cloud-starter-alibaba-seata 16

spring-cloud-starter-alibaba-seata这个依赖中只依赖了spring-cloud-alibaba-seata，所以在项目中添加spring-cloud-starter-alibaba-seata和spring-cloud-alibaba-seata是一样的

2. 添加Seata 配置文件 registry.conf

该配置用于指定 TC 的注册中心和配置文件，默认都是 file; 如果使用其他的注册中心，要求 Seata-Server 也注册到该配置中心上

registry.conf

registry { # file 、nacos 、eureka、redis、zk、consul、etcd3、sofa type = "file" nacos { serverAddr = "localhost" namespace = "public" cluster = "default" } eureka { serviceUrl = "http://localhost:8761/eureka" application = "default" weight = "1" } redis { serverAddr = "localhost:6379" db = "0" } zk { cluster = "default" serverAddr = "127.0.0.1:2181" session.timeout = 6000 connect.timeout = 2000 } 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 type = "file" nacos { serverAddr = "localhost" namespace = "public" cluster = "default" } consul { serverAddr = "127.0.0.1:8500" } apollo { app.id = "seata-server" apollo.meta = "http://192.168.1.204:8801" } zk { serverAddr = "127.0.0.1:2181" session.timeout = 6000 connect.timeout = 2000 } etcd3 { serverAddr = "http://localhost:2379" } file { name = "file.conf" } }

file.conf

该配置用于指定TC的相关属性；如果使用注册中心也可以将配置添加到配置中心

file.conf

transport { # tcp udt unix-domain-socket type = "TCP" #NIO NATIVE server = "NIO" #enable heartbeat heartbeat = true #thread factory for netty thread-factory { boss-thread-prefix = "NettyBoss" worker-thread-prefix = "NettyServerNIOWorker" server-executor-thread-prefix = "NettyServerBizHandler" share-boss-worker = false client-selector-thread-prefix = "NettyClientSelector" client-selector-thread-size = 1 client-worker-thread-prefix = "NettyClientWorkerThread" # netty boss thread size,will not be used for UDT boss-thread-size = 1 #auto default pin or 8 worker-thread-size = 8 } shutdown { # when destroy server, wait seconds wait = 3 } serialization = "seata" compressor = "none" } service { #vgroup->rgroup vgroup_mapping.my_test_tx_group = "default" #only support single node default.grouplist = "127.0.0.1:8091" #degrade current not support enableDegrade = false #disable disable = false #unit ms,s,m,h,d represents milliseconds, seconds, minutes, hours, days, default permanent max.commit.retry.timeout = "-1" max.rollback.retry.timeout = "-1" } client { async.commit.buffer.limit = 10000 lock { retry.internal = 10 retry.times = 30 } report.retry.count = 5 } ## transaction log store store { ## store mode: file、db mode = "file" ## file store file { dir = "sessionStore" # branch session size , if exceeded first try compress lockkey, still exceeded throws exceptions max-branch-session-size = 16384 # globe session size , if exceeded throws exceptions max-global-session-size = 512 # file buffer size , if exceeded allocate new buffer file-write-buffer-cache-size = 16384 # when recover batch read size session.reload.read_size = 100 # async, sync flush-disk-mode = async } ## database store db { ## the implement of javax.sql.DataSource, such as DruidDataSource(druid)/BasicDataSource(dbcp) etc. datasource = "dbcp" ## mysql/oracle/h2/oceanbase etc. db-type = "mysql" url = "jdbc:mysql://127.0.0.1:3306/seata" user = "mysql" password = "mysql" min-conn = 1 max-conn = 3 global.table = "global_table" branch.table = "branch_table" lock-table = "lock_table" query-limit = 100 } } lock { ## the lock store mode: local、remote mode = "remote" local { ## store locks in user's database } remote { ## store locks in the seata's server } } recovery { committing-retry-delay = 30 asyn-committing-retry-delay = 30 rollbacking-retry-delay = 30 timeout-retry-delay = 30 } transaction { undo.data.validation = true undo.log.serialization = "jackson" } ## metrics settings metrics { enabled = false registry-type = "compact" # multi exporters use comma divided exporter-list = "prometheus" exporter-prometheus-port = 9898 }

需要注意的是 service.vgroup_mapping这个配置，在 Spring Cloud 中默认是${spring.application.name}-fescar-service-group，可以通过指定application.properties的 spring.cloud.alibaba.seata.tx-service-group这个属性覆盖，但是必须要和 file.conf 中的一致，否则会提示 no available server to connect

3. 注入数据源

Seata 通过代理数据源的方式实现分支事务；MyBatis 和 JPA 都需要注入 io.seata.rm.datasource.DataSourceProxy, 不同的是，MyBatis 还需要额外注入 org.apache.ibatis.session.SqlSessionFactory

MyBatisJPA

@Configuration public class DataSourceProxyConfig { @Bean @ConfigurationProperties(prefix = "spring.datasource") public DataSource dataSource() { return new DruidDataSource(); } @Bean public DataSourceProxy dataSourceProxy(DataSource dataSource) { return new DataSourceProxy(dataSource); } @Bean public SqlSessionFactory sqlSessionFactoryBean(DataSourceProxy dataSourceProxy) throws Exception { SqlSessionFactoryBean sqlSessionFactoryBean = new SqlSessionFactoryBean(); sqlSessionFactoryBean.setDataSource(dataSourceProxy); return sqlSessionFactoryBean.getObject(); } }

如果使用的是 Hikari 数据源，需要修改数据源的配置，以及注入的 Bean 的配置前缀

spring.datasource.hikari.driver-class-name=com.mysql.cj.jdbc.Driver spring.datasource.hikari.jdbc-url=jdbc:mysql://localhost:3306/seata?useUnicode=true&characterEncoding=utf8&allowMultiQueries=true&useSSL=false spring.datasource.hikari.username=root spring.datasource.hikari.password=123456 @Bean @ConfigurationProperties(prefix = "spring.datasource.hikari") public DataSource dataSource() { return new HikariDataSource(); } @Bean @ConfigurationProperties(prefix = "spring.datasource.hikari") public DataSource dataSource() { return new HikariDataSource(); }

4. 添加 undo_log 表

在业务相关的数据库中添加 undo_log 表，用于保存需要回滚的数据

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

5. 启动 Seata-Server

在 https://github.com/seata/seata/releases 下载相应版本的 Seata-Server，修改 registry.conf为相应的配置(如果使用 file 则不需要修改)，解压并通过以下命令启动:

sh ./bin/seata-server.sh

6. 使用@GlobalTransactional开启分布事务(2pc模式) 使用Transactional开启本地事务（最终消息表通过mq传递消息）

在业务的发起方的方法上使用@GlobalTransactional开启全局事务，Seata 会将事务的 xid 通过拦截器添加到调用其他服务的请求中，实现分布式事务

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