Spring Cloud 快速集成 Seata
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作者 | chen1777
来源 | urlify.cn/M7j6ze
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
<dependencyManagement>
<dependencies>
<dependency>
<groupId>com.alibaba.cloud</groupId>
<artifactId>spring-cloud-alibaba-dependencies</artifactId>
<version>2.1.0.RELEASE</version>
<type>pom</type>
<scope>import</scope>
</dependency>
</dependencies>
</dependencyManagement>
<dependency>
<groupId>com.alibaba.cloud</groupId>
<artifactId>spring-cloud-starter-alibaba-seata</artifactId>
</dependency> 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 = utf85. 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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