SpringCloud Alibaba Seata处理分布式事务

分布式事务问题

分布式前

单机库存没这个问题

O(∩_∩)O

从1:1->1:N->N:N

分布式之后

单体应用被拆分成微服务应用,原来的三个模块被拆分成三个独立的应用,分别使用三个独立的数据源,

业务操作需要调用三个服务来完成。此时每个服务内部的数据一致性由本地事务来保证, 但是全局的数据一致性问题没法保证。

一句话

一次业务操作需要垮多个数据源或需要垮多个系统进行远程调用,就会产生分布式事务问题

Seata简介

是什么

Seata是一款开源的分布式事务解决方案,致力于在微服务架构下提供高性能和简单易用的分布式事务服务

官网地址

http://seata.io/zh-cn/

能干嘛

一个典型的分布式事务过程

分布式事务处理过程-ID+三组件模型

Transaction ID(XID)

全局唯一的事务id

三组件概念
  • Transaction Coordinator(TC):事务协调器,维护全局事务的运行状态,负责协调并驱动全局事务的提交或回滚
  • Transaction Manager(TM):控制全局事务的边界,负责开启一个全局事务,并最终发起全局提交或全局回滚的决议
  • Resource Manager(RM):控制分支事务,负责分支注册、状态汇报,并接受事务协调的指令,驱动分支(本地)事务的提交和回滚

处理过程



在哪下

发布说明: https://github.com/seata/seata/releases

怎么玩

本地@Transational

全局@GlobalTranstional

seata的分布式交易解决方案

Seata-Server安装

1.官网地址

https://seata.io/zh-cn/

2.下载版本

3.seata-server-0.9.0.zip解压到指定目录并修改conf目录下的file.conf配置文件

先备份原始file.conf文件

主要修改:自定义事务组名称+事务日志存储模式为db+数据库连接

file.conf

service模块

store模块



4.mysql5.7数据库新建库seata

5.在seata库里新建表

建表db_store.sql在seata-server-0.9.0\seata\conf目录里面

db_store.sql

SQL

-- the table to store GlobalSession data
drop table if exists `global_table`;
create table `global_table` (
`xid` varchar(128) not null,
`transaction_id` bigint,
`status` tinyint not null,
`application_id` varchar(32),
`transaction_service_group` varchar(32),
`transaction_name` varchar(128),
`timeout` int,
`begin_time` bigint,
`application_data` varchar(2000),
`gmt_create` datetime,
`gmt_modified` datetime,
primary key (`xid`),
key `idx_gmt_modified_status` (`gmt_modified`, `status`),
key `idx_transaction_id` (`transaction_id`)
); -- the table to store BranchSession data
drop table if exists `branch_table`;
create table `branch_table` (
`branch_id` bigint not null,
`xid` varchar(128) not null,
`transaction_id` bigint ,
`resource_group_id` varchar(32),
`resource_id` varchar(256) ,
`lock_key` varchar(128) ,
`branch_type` varchar(8) ,
`status` tinyint,
`client_id` varchar(64),
`application_data` varchar(2000),
`gmt_create` datetime,
`gmt_modified` datetime,
primary key (`branch_id`),
key `idx_xid` (`xid`)
); -- the table to store lock data
drop table if exists `lock_table`;
create table `lock_table` (
`row_key` varchar(128) not null,
`xid` varchar(96),
`transaction_id` long ,
`branch_id` long,
`resource_id` varchar(256) ,
`table_name` varchar(32) ,
`pk` varchar(36) ,
`gmt_create` datetime ,
`gmt_modified` datetime,
primary key(`row_key`)
);

6.修改seata-server-0.9.0\seata\conf目录下的registry.conf目录下的registry.conf配置文件

7.先启动Nacos端口号8848

8.再启动seata-server

seata-server-0.9.0\seata\bin

seata-server.bat

订单/库存/账户业务数据库准备

以下演示都需要先启动Nacos后启动Seata,保证两个都OK

Seata没启动报错no available server to connect

分布式事务业务说明

这里我们会创建三个服务, 一个订单服务, 一个库存服务, 一个账户服务。

当用户下单时,会在订单服务中创建一个订单 ,然后通过远程调用库存服务来扣减下单商品的库存,

再通过远程调用账户服务来扣减用户账户里面的余额,

最后在订单服务中修改订单状态为已完成。

该操作跨越三个数据库,有两次远程调用,很明显会有分布式事务问题。

创建业务数据库

seata_order:存储订单的数据库

seata_storage:存储库存的数据库

seata_account:存储账户信息的数据库

建表SQL

create database seata_order;
create database seata_storage;
create database seata_account;

按照上述3库分别建立对应业务表

seata_order库下新建t_order表

DROP TABLE IF EXISTS `t_order`;
CREATE TABLE `t_order` (
`int` bigint(11) NOT NULL AUTO_INCREMENT,
`user_id` bigint(20) DEFAULT NULL COMMENT '用户id',
`product_id` bigint(11) DEFAULT NULL COMMENT '产品id',
`count` int(11) DEFAULT NULL COMMENT '数量',
`money` decimal(11, 0) DEFAULT NULL COMMENT '金额',
`status` int(1) DEFAULT NULL COMMENT '订单状态: 0:创建中 1:已完结',
PRIMARY KEY (`int`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '订单表' ROW_FORMAT = Dynamic;

seata_storage库下新建t_storage表

DROP TABLE IF EXISTS `t_storage`;
CREATE TABLE `t_storage` (
`int` bigint(11) NOT NULL AUTO_INCREMENT,
`product_id` bigint(11) DEFAULT NULL COMMENT '产品id',
`total` int(11) DEFAULT NULL COMMENT '总库存',
`used` int(11) DEFAULT NULL COMMENT '已用库存',
`residue` int(11) DEFAULT NULL COMMENT '剩余库存',
PRIMARY KEY (`int`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '库存' ROW_FORMAT = Dynamic;
INSERT INTO `t_storage` VALUES (1, 1, 100, 0, 100);

seata_account库下新建t_account表

CREATE TABLE `t_account`  (
`id` bigint(11) NOT NULL COMMENT 'id',
`user_id` bigint(11) DEFAULT NULL COMMENT '用户id',
`total` decimal(10, 0) DEFAULT NULL COMMENT '总额度',
`used` decimal(10, 0) DEFAULT NULL COMMENT '已用余额',
`residue` decimal(10, 0) DEFAULT NULL COMMENT '剩余可用额度',
PRIMARY KEY (`id`) USING BTREE
) ENGINE = InnoDB CHARACTER SET = utf8 COLLATE = utf8_general_ci COMMENT = '账户表' ROW_FORMAT = Dynamic; INSERT INTO `t_account` VALUES (1, 1, 1000, 0, 1000);

按照上述3库分别建立对应的回滚日志表

订单-库存-账户3个库下都需要建各自独立的回滚日志表

seata-server-0.9.0\seata\conf\目录下的db_undo_log.sql

建表SQL

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;

最终效果

订单/库存/账户业务微服务准备

业务需求

下订单->减库存->扣余额->改(订单)状态

新建订单Order-Module

1.seata-order-service2001

2.POM

<dependencies>
<!-- nacos -->
<dependency>
<groupId>com.alibaba.cloud</groupId>
<artifactId>spring-cloud-starter-alibaba-nacos-discovery</artifactId>
</dependency>
<!-- seata-->
<dependency>
<groupId>com.alibaba.cloud</groupId>
<artifactId>spring-cloud-starter-alibaba-seata</artifactId>
<exclusions>
<exclusion>
<groupId>io.seata</groupId>
<artifactId>seata-all</artifactId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>io.seata</groupId>
<artifactId>seata-all</artifactId>
<version>0.9.0</version>
</dependency>
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-openfeign</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.mybatis.spring.boot</groupId>
<artifactId>mybatis-spring-boot-starter</artifactId>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid-spring-boot-starter</artifactId>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
</dependency>
<!--jdbc-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-jdbc</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-actuator</artifactId>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
<!--hutool 测试雪花算法-->
<dependency>
<groupId>cn.hutool</groupId>
<artifactId>hutool-captcha</artifactId>
<version>5.2.0</version>
</dependency>
</dependencies>

3.YML

server:
port: 2001 spring:
application:
name: seata-order-service
cloud:
alibaba:
seata:
# 自定义事务组名称需要与seata-server中的对应
tx-service-group: fsp_tx_group
nacos:
discovery:
server-addr: 127.0.0.1:8848
datasource:
# 当前数据源操作类型
type: com.alibaba.druid.pool.DruidDataSource
# mysql驱动类
driver-class-name: com.mysql.cj.jdbc.Driver
url: jdbc:mysql://localhost:3306/seata_order?useUnicode=true&characterEncoding=UTF-8&useSSL=false&serverTimezone=GMT%2B8
username: root
password: root
feign:
hystrix:
enabled: false
logging:
level:
io:
seata: info mybatis:
mapperLocations: classpath*:mapper/*.xml

4.file.conf

就是seata文件夹下的file.conf

拷贝seata-server/conf目录下的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
# 事务组名称
vgroup_mapping.fsp_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
tm.commit.retry.count = 1
tm.rollback.retry.count = 1
} ## transaction log store
store {
## store mode: file、db
#mode = "file"
mode = "db" ## 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"
driver-class-name = "com.mysql.jdbc.Driver"
url = "jdbc:mysql://127.0.0.1:3306/seata"
user = "root"
password = "root"
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 {
#schedule committing retry period in milliseconds
committing-retry-period = 1000
#schedule asyn committing retry period in milliseconds
asyn-committing-retry-period = 1000
#schedule rollbacking retry period in milliseconds
rollbacking-retry-period = 1000
#schedule timeout retry period in milliseconds
timeout-retry-period = 1000
} transaction {
undo.data.validation = true
undo.log.serialization = "jackson"
undo.log.save.days = 7
#schedule delete expired undo_log in milliseconds
undo.log.delete.period = 86400000
undo.log.table = "undo_log"
} ## metrics settings
metrics {
enabled = false
registry-type = "compact"
# multi exporters use comma divided
exporter-list = "prometheus"
exporter-prometheus-port = 9898
} support {
## spring
spring {
# auto proxy the DataSource bean
datasource.autoproxy = false
}
}

5.registry.conf

拷贝seata-server/conf目录下的registry.conf

registry {
# file 、nacos 、eureka、redis、zk、consul、etcd3、sofa
type = "nacos" nacos {
#serverAddr = "localhost"
serverAddr = "localhost:8848"
namespace = ""
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 = ""
}
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"
}
}

6.domain

CommonResult

@Data
@AllArgsConstructor
@NoArgsConstructor
public class CommonResult<T> {
private Integer code;
private String message;
private T data; public CommonResult(Integer code, String message) {
this(code, message, null);
}
}

Order

7.Dao接口实现

OrderDao

@Mapper
public interface OrderDao {
/**
* 1 新建订单
* @param order
* @return
*/
int create(Order order); /**
* 2 修改订单状态,从0改为1
* @param userId
* @param status
* @return
*/
int update(@Param("userId") Long userId, @Param("status") Integer status);
}

resources文件夹下新建mapper文件夹后添加

<?xml version="1.0" encoding="UTF-8" ?>
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN"
"http://mybatis.org/dtd/mybatis-3-mapper.dtd">
<mapper namespace="com.eiletxie.springcloud.alibaba.dao.OrderDao"> <resultMap id="BaseResultMap" type="com.eiletxie.springcloud.alibaba.domain.Order">
<id column="id" property="id" jdbcType="BIGINT"></id>
<result column="user_id" property="userId" jdbcType="BIGINT"></result>
<result column="product_id" property="productId" jdbcType="BIGINT"></result>
<result column="count" property="count" jdbcType="INTEGER"></result>
<result column="money" property="money" jdbcType="DECIMAL"></result>
<result column="status" property="status" jdbcType="INTEGER"></result>
</resultMap> <insert id="create" parameterType="com.eiletxie.springcloud.alibaba.domain.Order" useGeneratedKeys="true"
keyProperty="id">
insert into t_order(user_id,product_id,count,money,status) values (#{userId},#{productId},#{count},#{money},0);
</insert> <update id="update">
update t_order set status =1 where user_id =#{userId} and status=#{status};
</update>
</mapper>
OrderMapper.xml

8.Service接口及实现

OrderService

public interface OrderService {

    /**
* 创建订单
* @param order
*/
void create(Order order);
}

@Service
@Slf4j
public class OrderServiceImpl implements OrderService { @Resource
private OrderDao orderDao;
@Resource
private AccountService accountService;
@Resource
private StorageService storageService; /**
* 创建订单->调用库存服务扣减库存->调用账户服务扣减账户余额->修改订单状态
* 简单说:
* 下订单->减库存->减余额->改状态
* GlobalTransactional seata开启分布式事务,异常时回滚,name保证唯一即可
* @param order 订单对象
*/
@Override
///@GlobalTransactional(name = "fsp-create-order", rollbackFor = Exception.class)
public void create(Order order) {
// 1 新建订单
log.info("----->开始新建订单");
orderDao.create(order); // 2 扣减库存
log.info("----->订单微服务开始调用库存,做扣减Count");
storageService.decrease(order.getProductId(), order.getCount());
log.info("----->订单微服务开始调用库存,做扣减End"); // 3 扣减账户
log.info("----->订单微服务开始调用账户,做扣减Money");
accountService.decrease(order.getUserId(), order.getMoney());
log.info("----->订单微服务开始调用账户,做扣减End"); // 4 修改订单状态,从0到1,1代表已完成
log.info("----->修改订单状态开始");
orderDao.update(order.getUserId(), 0); log.info("----->下订单结束了,O(∩_∩)O哈哈~");
}
}

AccountService

@FeignClient(value = "seata-account-service")
public interface AccountService { /**
* 减余额
* @param userId
* @param money
* @return
*/
@PostMapping(value = "/account/decrease")
CommonResult decrease(@RequestParam("userId") Long userId, @RequestParam("money") BigDecimal money);
}

StorageService

@FeignClient(value = "seata-storage-service")
public interface StorageService { /**
* 减库存
* @param productId
* @param count
* @return
*/
@PostMapping(value = "/storage/decrease")
CommonResult decrease(@RequestParam("productId") Long productId, @RequestParam("count") Integer count);
}

9.Controller

OrderController

@RestController
public class OrderController {
@Resource
private OrderService orderService; /**
* 创建订单
*
* @param order
* @return
*/
@GetMapping("/order/create")
public CommonResult create(Order order) {
orderService.create(order);
return new CommonResult(200, "订单创建成功");
}
}

10.Config配置

MyBatisConfig

@Configuration
@MapperScan({"com.eiletxie.springcloud.alibaba.dao"})
public class MyBatisConfig { }

DataSourceProxyConfig

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.springframework.beans.factory.annotation.Value;
import org.springframework.boot.context.properties.ConfigurationProperties;
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; /**
* @Author EiletXie
* @Since 2020/3/18 21:51
* 使用Seata对数据源进行代理
*/
@Configuration
public class DataSourceProxyConfig { @Value("${mybatis.mapperLocations}")
private String mapperLocations; @Bean
@ConfigurationProperties(prefix = "spring.datasource")
public DataSource druidDataSource() {
return new DruidDataSource();
} @Bean
public DataSourceProxy dataSourceProxy(DataSource druidDataSource) {
return new DataSourceProxy(druidDataSource);
} @Bean
public SqlSessionFactory sqlSessionFactoryBean(DataSourceProxy dataSourceProxy) throws Exception {
SqlSessionFactoryBean bean = new SqlSessionFactoryBean();
bean.setDataSource(dataSourceProxy);
ResourcePatternResolver resolver = new PathMatchingResourcePatternResolver();
bean.setMapperLocations(resolver.getResources(mapperLocations));
return bean.getObject();
}
}

11.主启动

@SpringBootApplication(exclude = DataSourceAutoConfiguration.class) //取消数据源的自动创建
@EnableDiscoveryClient
@EnableFeignClients
public class SeataOrderMain2001 { public static void main(String[] args) {
SpringApplication.run(SeataOrderMain2001.class,args);
}
}

新建库存Storage-Module

1、seata-storage-service2002

基本和2001一样,除了dao层和mapper有点区别

2、POM

3、YML

server:
port: 2002 spring:
application:
name: seata-storage-service
cloud:
alibaba:
seata:
tx-service-group: fsp_tx_group
nacos:
discovery:
server-addr: localhost:8848
datasource:
type: com.alibaba.druid.pool.DruidDataSource
# mysql驱动类
driver-class-name: com.mysql.cj.jdbc.Driver
url: jdbc:mysql://localhost:3306/seata_storage?useUnicode=true&characterEncoding=UTF-8&useSSL=false&serverTimezone=GMT%2B8
username: root
password: root feign:
hystrix:
enabled: false
logging:
level:
io:
seata: info mybatis:
mapperLocations: classpath*:mapper/*.xml

4、file.conf

5、registry.conf

6、domain

CommonResult

和2001一样

Storage

@Data
@AllArgsConstructor
@NoArgsConstructor
public class Storage { private Long id; private Integer total; private Integer used; private Integer residue;
}

7、Dao接口及实现

StorageDao

@Mapper
public interface StorageDao { void decrease(@Param("productId") Long productId,@Param("count") Integer count);
}

resources文件夹下新建mapper文件夹后添加

<?xml version="1.0" encoding="UTF-8" ?>
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN"
"http://mybatis.org/dtd/mybatis-3-mapper.dtd">
<mapper namespace="com.eiletxie.springcloud.alibaba.dao.StorageDao"> <resultMap id="BaseResultMap" type="com.eiletxie.springcloud.alibaba.domain.Storage">
<id column="id" property="id" jdbcType="BIGINT"></id>
<result column="product_id" property="productId" jdbcType="BIGINT"></result>
<result column="total" property="total" jdbcType="INTEGER"></result>
<result column="used" property="used" jdbcType="INTEGER"></result>
<result column="residue" property="residue" jdbcType="INTEGER"></result>
</resultMap> <update id="decrease">
update t_storage
set used = used + #{count},residue = residue - #{count}
where product_id= #{productId};
</update>
</mapper>

8、Service接口及实现

StorageService

public interface StorageService {

    void decrease(Long productId, Integer count);

}

StorageServiceImpl

@Service
public class StorageServiceImpl implements StorageService { private static final Logger LOGGER = LoggerFactory.getLogger(StorageServiceImpl.class); @Resource
private StorageDao storageDao; @Override
public void decrease(Long productId, Integer count) {
LOGGER.info("----> storage-service中扣减库存开始");
storageDao.decrease(productId,count);
LOGGER.info("----> storage-service中扣减库存结束");
}
}

9、Controller

StorageController

@RestController
public class StorageController { @Resource
private StorageService storageService; @RequestMapping("/storage/decrease")
public CommonResult decrease(Long productId,Integer count) {
storageService.decrease(productId, count);
return new CommonResult(200,"扣减库存成功!");
}
}

10、Config配置

和2001一样

11、主启动

@SpringBootApplication(exclude = DataSourceAutoConfiguration.class)
@EnableFeignClients
@EnableDiscoveryClient
public class SeataStorageMain2002 { public static void main(String[] args) {
SpringApplication.run(SeataStorageMain2002.class,args);
}
}

新建账户Account-Module

1、seata-account-service2003

6、domain

CommonResult

和2001一样

Account

7、Dao接口及实现

AccountDao

@Mapper
public interface AccountDao { /**
* 扣减账户余额
* @param userId
* @param money
*/
void decrease(@Param("userId") Long userId, @Param("money") BigDecimal money); }

resources文件夹下新建mapper文件夹后添加

<?xml version="1.0" encoding="UTF-8" ?>
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN"
"http://mybatis.org/dtd/mybatis-3-mapper.dtd">
<mapper namespace="com.eiletxie.springcloud.alibaba.dao.AccountDao"> <resultMap id="BaseResultMap" type="com.eiletxie.springcloud.alibaba.domain.Account">
<id column="id" property="id" jdbcType="BIGINT"></id>
<result column="user_id" property="userId" jdbcType="BIGINT"></result>
<result column="total" property="total" jdbcType="DECIMAL"></result>
<result column="used" property="used" jdbcType="DECIMAL"></result>
<result column="residue" property="residue" jdbcType="DECIMAL"></result>
</resultMap> <update id="decrease">
update t_account
set used = used + #{money},residue = residue - #{money}
where user_id= #{userId};
</update>
</mapper>

8、Service接口及实现

AccountService

public interface AccountService {

    void decrease(Long userId, BigDecimal money);
}

AccountServiceImpl

@Service
public class AccountServiceImpl implements AccountService { private static final Logger LOGGER = LoggerFactory.getLogger(AccountServiceImpl.class); @Resource
private AccountDao accountDao; @Override
public void decrease(Long userId, BigDecimal money) {
LOGGER.info("----> account-service中扣减用户余额开始");
accountDao.decrease(userId,money);
LOGGER.info("----> account-service中扣减用户余额开始");
}
}

9、Controller

AccountController

@RestController
public class AccountController { @Resource
AccountService accountService; @RequestMapping("/account/decrease")
public CommonResult decrease(@RequestParam("userId") Long userId,@RequestParam("money") BigDecimal money) {
accountService.decrease(userId,money);
return new CommonResult(200,"扣减账户余额成功!");
}
}

11、主启动

@SpringBootApplication(exclude = DataSourceAutoConfiguration.class)
@EnableFeignClients
@EnableDiscoveryClient
public class SeataAccountMain2003 { public static void main(String[] args) {
SpringApplication.run(SeataAccountMain2003.class,args);
}
}

YML

server:
port: 2003 spring:
application:
name: seata-account-service
cloud:
alibaba:
seata:
tx-service-group: fsp_tx_group
nacos:
discovery:
server-addr: localhost:8848
datasource:
type: com.alibaba.druid.pool.DruidDataSource
# mysql驱动类
driver-class-name: com.mysql.cj.jdbc.Driver
url: jdbc:mysql://localhost:3306/seata_account?useUnicode=true&characterEncoding=UTF-8&useSSL=false&serverTimezone=GMT%2B8
username: root
password: root feign:
hystrix:
enabled: false
logging:
level:
io:
seata: info mybatis:
mapperLocations: classpath*:mapper/*.xml

Test

数据库初始情况

下订单->减库存->扣余额->改订单状态

正常下单

http://localhost:2001/order/create?userId=1&productId=1&count=10&money=100

数据库情况

超时异常,没加@GlobalTransational

  • AccountServiceImpl添加超时
  • 数据库情况
  • 故障情况
    • 当库存和账户金额扣减后,订单状态并没有设置为依据完成,没有从零改为1
    • 而且由于feign的重试机制,账户余额还有可能被多次扣减

超时异常,添加@GlobalTransational

结果

各数据库无记录新增

OrderServiceImpl

@Override
@GlobalTransactional(name = "fsp-create-order",rollbackFor = Exception.class)
///@GlobalTransactional(name = "fsp-create-order", rollbackFor = Exception.class)
public void create(Order order) {
// 1 新建订单
log.info("----->开始新建订单");
orderDao.create(order); // 2 扣减库存
log.info("----->订单微服务开始调用库存,做扣减Count");
storageService.decrease(order.getProductId(), order.getCount());
log.info("----->订单微服务开始调用库存,做扣减End"); // 3 扣减账户
log.info("----->订单微服务开始调用账户,做扣减Money");
accountService.decrease(order.getUserId(), order.getMoney());
log.info("----->订单微服务开始调用账户,做扣减End"); // 4 修改订单状态,从0到1,1代表已完成
log.info("----->修改订单状态开始");
orderDao.update(order.getUserId(), 0); log.info("----->下订单结束了,O(∩_∩)O哈哈~");
}

一部分补充

Seata

  • 2019年1月份蚂蚁金服和阿里巴巴共同开源的分布式事务解决方案
  • Simple Extensible Autonomous Transaction Architecture ,简单可扩展自治事务框架
  • 2020起始,参加工作后使用1.0以后的版本

再看TC/TM/RM三大组件



分布式事务的执行流程

  1. TM开启分布式事务(TM向TC注册全局事务记录)
  2. 按业务场景,编排数据库、服务等事务内资源(RM向TC汇报资源准备状态)
  3. TM结束分布式事务,事务一阶段结束(TM通知TC提交/回滚分布式事务)
  4. TC汇总事务信息,决定分布式事务是提交还是回滚
  5. TC通知所有RM提交/回滚 资源,事务二阶段结束

AT模式如何做到对业务的无侵入

是什么

一阶段加载



二阶段提交

二阶段回滚



debug

AccountServiceImpl





undo.log

before image

补充



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