03.SpringCloud Alibaba Seata (分布式事务)
1.分布式事务问题
- 分布式前
单机单库没这个问题
- 分布式之后
一次业务操作需要跨多个数据源或需要跨多个系统进行远程调用，就会产生分布式事务问题
2.Seata的简介
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
能干吗
一个典型的分布式事务过程
分布式事务处理过程的-ID+三组件模型 （1带3）
- Transaction ID XID (全局事务ID)
三组件
- Transaction Coordinator(TC)
- Transaction Manager(TM)
- Resource Manager(RM)
去哪下
发布说明:
怎么玩
Spring 本地@Transactional
Seatal 全局@GlobalTransactional
3.Seata-Server安装
1.官网地址
2.下载版本
这次用的0.9
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
修改file.conf配置文件
修改conf目录下的file.conf配置文件
每次该文件先备份原来的，再修改
主要修改：自定义事务组名称+事务日志存储模式为db+数据库连接信息
service模块 (自定义事务组名称)
store模块 (事务日志存储模式为db+数据库连接信息)
4.mysql5.7数据库新建库seata
5.在seata库里建表
建表db_store.sql在\seata-server-0.9.0\seata\conf目录里面
-- 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配置文件
修改为自己的nacos,并修改自己的nacos配置
7.先启动Nacos端口号8848
8.再启动seata-server
看到注册进nacos，就说明可以了
4.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
下订单-->扣库存-->减账户（余额）
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
CREATE DATABASE seata_order；
CREATE DATABASE seata_storage；
CREATE DATABASE seata_account；
按照上述3库分别建对应业务表
- seata_order库下建t_order表
DROP TABLE IF EXISTS `t_order`;
CREATE TABLE `t_order` (
`id` bigint(11) NOT NULL AUTO_INCREMENT,
`user_id` bigint(11) NULL DEFAULT NULL COMMENT '用户id',
`product_id` bigint(11) NULL DEFAULT NULL COMMENT '产品id',
`count` int(11) NULL DEFAULT NULL COMMENT '数量',
`money` decimal(11, 0) NULL DEFAULT NULL COMMENT '金额',
`status` int(1) NULL DEFAULT NULL COMMENT '订单状态：0：创建中; 1：已完结',
PRIMARY KEY (`id`) USING BTREE
) - seata_storage库下建t_storage表
DROP TABLE IF EXISTS `t_storage`;
CREATE TABLE `t_storage` (
`id` bigint(11) NOT NULL AUTO_INCREMENT,
`product_id` bigint(11) NULL DEFAULT NULL COMMENT '产品id',
`total` int(11) NULL DEFAULT NULL COMMENT '总库存',
`used` int(11) NULL DEFAULT NULL COMMENT '已用库存',
`residue` int(11) NULL DEFAULT NULL COMMENT '剩余库存',
PRIMARY KEY (`id`) USING BTREE
)
INSERT INTO `t_storage` VALUES (1, 1, 100, 0, 100);- seata_account库下建t_account表
CREATE TABLE `t_account` (
`id` bigint(11) NOT NULL AUTO_INCREMENT COMMENT 'id',
`user_id` bigint(11) NULL DEFAULT NULL COMMENT '用户id',
`total` decimal(10, 0) NULL DEFAULT NULL COMMENT '总额度',
`used` decimal(10, 0) NULL DEFAULT NULL COMMENT '已用余额',
`residue` decimal(10, 0) NULL COMMENT '剩余可用额度',
PRIMARY KEY (`id`) USING BTREE
)
INSERT INTO `t_account` VALUES (1, 1, 1000, 0, 1000);按照上述3库分别建对应的回滚日志表
订单-库存-账户3个库下都需要建各自的回滚日志表
\seata-server-0.9.0\seata\conf目录下的db_undo_log.sql
-- the table to store seata xid data
-- 0.7.0+ add context
-- you must to init this sql for you business databese. the seata server not need it.
-- 此脚本必须初始化在你当前的业务数据库中，用于AT 模式XID记录。与server端无关（注：业务数据库）
-- 注意此处0.3.0+ 增加唯一索引 ux_undo_log
drop table `undo_log`;
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
5.订单/库存/账户业务微服务准备
依赖问题 父pom是如下
<!--spring cloud alibaba 2.1.0.RELEASE-->
<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>本次使用的是druid 还有 mybatis
5.1新建订单Order-Module
5.1.1.新建seata-order-service2001模块
5.1.2.pom
<dependencies>
<!--nacos-->
<dependency>
<groupId>com.alibaba.cloud</groupId>
<artifactId>spring-cloud-starter-alibaba-nacos-discovery</artifactId>
</dependency>
<!--seata 这里引入seata 排除seata-all的-->
<dependency>
<groupId>com.alibaba.cloud</groupId>
<artifactId>spring-cloud-starter-alibaba-seata</artifactId>
<exclusions>
<exclusion>
<artifactId>seata-all</artifactId>
<groupId>io.seata</groupId>
</exclusion>
</exclusions>
</dependency>
<!--这里我们再重新引入seata的 依赖 我们seata服务器用的是0.9，所以上面排除，用我们自己的0.9版本-->
<dependency>
<groupId>io.seata</groupId>
<artifactId>seata-all</artifactId>
<version>0.9.0</version>
</dependency>
<!--feign-->
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-openfeign</artifactId>
</dependency>
<!--web-actuator-->
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-actuator</artifactId>
</dependency>
<!--mysql-druid-->
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>5.1.37</version>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid-spring-boot-starter</artifactId>
<version>1.1.10</version>
</dependency>
<dependency>
<groupId>org.mybatis.spring.boot</groupId>
<artifactId>mybatis-spring-boot-starter</artifactId>
<version>2.0.0</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
</dependencies>5.1.3.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 file.conf
tx-service-group: fsp_tx_group
nacos: #nacos的依赖
discovery:
server-addr: localhost:8848
datasource:
driver-class-name: com.mysql.jdbc.Driver
url: jdbc:mysql://localhost:3306/seata_order
username: root
password: 123456
#开启hystrix的feign
feign:
hystrix:
enabled: false
logging: #日志
level:
io:
seata: info
mybatis:
mapperLocations: classpath:mapper/*.xml5.1.4.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 {
#这里的这个 fsp_tx_group 是我们服务器的file.conf 自定义的名称
vgroup_mapping.fsp_tx_group = "default"
default.grouplist = "127.0.0.1:8091"
enableDegrade = false
disable = false
max.commit.retry.timeout = "-1"
max.rollback.retry.timeout = "-1"
disableGlobalTransaction = false
}
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
#切换db
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"
#事务日志配置的seata配置
url = "jdbc:mysql://127.0.0.1:3306/seata"
user = "root"
password = "123456"
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
}
}5.1.5.registry.conf
这个文件跟seata服务器的配置文件的保持一样的配置信息
registry {
# file 、nacos 、eureka、redis、zk、consul、etcd3、sofa
type = "nacos"
nacos {
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"
}
}5.1.6.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
@Data
@AllArgsConstructor
@NoArgsConstructor
public class Order {
private Long id;
private Long userId;
private Long productId;
private Integer count;
private BigDecimal money;
private Integer status; //订单状态：0：创建中；1：已完结
}5.1.7.Dao接口及实现
OrderDao
@Mapper
public interface OrderDao {
//新建订单
void create(Order order);
//修改订单状态，从零改为1
void update(@Param("userId") Long userId, @Param("status") Integer status);
}resources文件夹下新建mapper文件夹后添加OrderMapper.xml
<mapper namespace="com.chl.springcloud.alibaba.dao.OrderDao">
<resultMap id="BaseResultMap" type="com.chl.springcloud.alibaba.domain.Order">
<id column="id" property="id" jdbcType="BIGINT"/>
<result column="user_id" property="userId" jdbcType="BIGINT"/>
<result column="product_id" property="productId" jdbcType="BIGINT"/>
<result column="count" property="count" jdbcType="INTEGER"/>
<result column="money" property="money" jdbcType="DECIMAL"/>
<result column="status" property="status" jdbcType="INTEGER"/>
</resultMap>
<insert id="create">
insert into t_order (id,user_id,product_id,count,money,status)
values (null,#{userId},#{productId},#{count},#{money},0);
</insert>
<update id="update">
update t_order set status = 1
where user_id=#{userId} and status = #{status};
</update>
</mapper>5.1.8.Service接口及实现
OrderService 订单service
public interface OrderService{
void create(Order order);
}OrderServiceImpl
@Service
@Slf4j
public class OrderServiceImpl implements OrderService {
@Resource
private OrderDao orderDao;
@Resource
private StorageService storageService;
@Resource
private AccountService accountService;
/**
* 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
*/
@Override
@GlobalTransactional(name = "fsp-create-order",rollbackFor = Exception.class)
public void create(Order order){
log.info("----->开始新建订单");
//新建订单
orderDao.create(order);
//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");
//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");
//修改订单状态，从零到1代表已经完成
log.info("----->修改订单状态开始");
orderDao.update(order.getUserId(),0);
log.info("----->修改订单状态结束");
log.info("----->下订单结束了");
}
}StorageService （库存的 feign service ）
/**
* 库存的 feign service
*/
@FeignClient(value = "seata-storage-service")
public interface StorageService{
@PostMapping(value = "/storage/decrease")
CommonResult decrease(@RequestParam("productId") Long productId, @RequestParam("count") Integer count);
}AccountService (账户的 feign service)
@FeignClient(value = "seata-account-service")
public interface AccountService{
@PostMapping(value = "/account/decrease")
CommonResult decrease(@RequestParam("userId") Long userId, @RequestParam("money") BigDecimal money);
}5.1.9.Controller
@RestController
public class OrderController{
@Resource
private OrderService orderService;
@GetMapping("/order/create")
public CommonResult create(Order order) {
orderService.create(order);
return new CommonResult(200,"订单创建成功");
}
}5.1.10.Config配置
MyBatisConfig
@Configuration
@MapperScan({"com.chl.springcloud.alibaba.dao"})
public class MyBatisConfig {
}DataSourceProxyConfig （druid的数据连接池）
/**
* 数据连接池切换为druid
*/
@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 dataSource) {
return new DataSourceProxy(dataSource);
}
@Bean
public SqlSessionFactory sqlSessionFactoryBean(DataSourceProxy dataSourceProxy) throws Exception {
SqlSessionFactoryBean sqlSessionFactoryBean = new SqlSessionFactoryBean();
sqlSessionFactoryBean.setDataSource((DataSource) dataSourceProxy);
sqlSessionFactoryBean.setMapperLocations(new PathMatchingResourcePatternResolver().getResources(mapperLocations));
sqlSessionFactoryBean.setTransactionFactory(new SpringManagedTransactionFactory());
return sqlSessionFactoryBean.getObject();
}
}5.1.11.主启动
@EnableDiscoveryClient
@EnableFeignClients
//取消数据源自动创建的配置 用配置druid的
@SpringBootApplication(exclude = DataSourceAutoConfiguration.class)
public class SeataOrderMainApp2001{
public static void main(String[] args) {
SpringApplication.run(SeataOrderMainApp2001.class, args);
}
}5.2新建库存Storage-Module
5.2.1.新建seata-order-service2002模块
5.2.2.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>
<artifactId>seata-all</artifactId>
<groupId>io.seata</groupId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>io.seata</groupId>
<artifactId>seata-all</artifactId>
<version>0.9.0</version>
</dependency>
<!--feign-->
<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.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.mybatis.spring.boot</groupId>
<artifactId>mybatis-spring-boot-starter</artifactId>
<version>2.0.0</version>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>5.1.37</version>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid-spring-boot-starter</artifactId>
<version>1.1.10</version>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
</dependencies>5.2.3.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:
driver-class-name: com.mysql.jdbc.Driver
url: jdbc:mysql://localhost:3306/seata_storage
username: root
password: 123456
logging:
level:
io:
seata: info
mybatis:
mapperLocations: classpath:mapper/*.xml5.2.4.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 {
#这里的这个 fsp_tx_group 是我们服务器的file.conf 自定义的名称
vgroup_mapping.fsp_tx_group = "default"
default.grouplist = "127.0.0.1:8091"
enableDegrade = false
disable = false
max.commit.retry.timeout = "-1"
max.rollback.retry.timeout = "-1"
disableGlobalTransaction = false
}
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
#切换db
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"
#事务日志配置的seata配置
url = "jdbc:mysql://127.0.0.1:3306/seata"
user = "root"
password = "123456"
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
}
}5.2.5.registry.conf
这个文件跟seata服务器的配置文件的保持一样的配置信息
registry {
# file 、nacos 、eureka、redis、zk、consul、etcd3、sofa
type = "nacos"
nacos {
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"
}
}5.2.6.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);
}
}Storage
@Data
public class Storage {
private Long id;
// 产品id
private Long productId;
//总库存
private Integer total;
//已用库存
private Integer used;
//剩余库存
private Integer residue;
}5.2.7.Dao接口及实现
StorageDao
@Mapper
public interface StorageDao {
//扣减库存信息
void decrease(@Param("productId") Long productId, @Param("count") Integer count);
}resources文件夹下新建mapper文件夹后添加StorageDao.xml
<mapper namespace="com.chl.springcloud.alibaba.dao.StorageDao">
<resultMap id="BaseResultMap" type="com.chl.springcloud.alibaba.domain.Storage">
<id column="id" property="id" jdbcType="BIGINT"/>
<result column="product_id" property="productId" jdbcType="BIGINT"/>
<result column="total" property="total" jdbcType="INTEGER"/>
<result column="used" property="used" jdbcType="INTEGER"/>
<result column="residue" property="residue" jdbcType="INTEGER"/>
</resultMap>
<!--库存减少多少，剩下多少都更新进去-->
<update id="decrease">
UPDATE
t_storage
SET
used = used + #{count},residue = residue - #{count}
WHERE
product_id = #{productId}
</update>
</mapper>
5.2.8.Service接口及实现
StorageService 库存service
public interface StorageService {
// 扣减库存
void decrease(Long productId, Integer count);
}StorageService
@Service
@Slf4j
public class StorageServiceImpl implements StorageService {
@Resource
private StorageDao storageDao;
// 扣减库存
@Override
public void decrease(Long productId, Integer count) {
log.info("------->storage-service中扣减库存开始");
storageDao.decrease(productId,count);
log.info("------->storage-service中扣减库存结束");
}
}
5.2.9.Controller
@RestController
public class StorageController {
@Autowired
private StorageService storageService;
//扣减库存
@RequestMapping("/storage/decrease")
public CommonResult decrease(Long productId, Integer count) {
storageService.decrease(productId, count);
return new CommonResult(200,"扣减库存成功！");
}
}5.2.10.Config配置
MyBatisConfig
@Configuration
@MapperScan({"com.chl.springcloud.alibaba.dao"})
public class MyBatisConfig {
}DataSourceProxyConfig （druid的数据连接池）
/**
* 数据连接池切换为druid
*/
@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 dataSource) {
return new DataSourceProxy(dataSource);
}
@Bean
public SqlSessionFactory sqlSessionFactoryBean(DataSourceProxy dataSourceProxy) throws Exception {
SqlSessionFactoryBean sqlSessionFactoryBean = new SqlSessionFactoryBean();
sqlSessionFactoryBean.setDataSource((DataSource) dataSourceProxy);
sqlSessionFactoryBean.setMapperLocations(new PathMatchingResourcePatternResolver().getResources(mapperLocations));
sqlSessionFactoryBean.setTransactionFactory(new SpringManagedTransactionFactory());
return sqlSessionFactoryBean.getObject();
}
}5.2.11.主启动
@EnableDiscoveryClient
@EnableFeignClients
//取消数据源自动创建的配置 用配置druid的
@SpringBootApplication(exclude = DataSourceAutoConfiguration.class)
public class SeataStorageServiceApplication2002 {
public static void main(String[] args) {
SpringApplication.run(SeataStorageServiceApplication2002.class, args);
}
}5.3新建账户Account-Module
5.3.1.seata-order-service2003
5.3.2.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>
<artifactId>seata-all</artifactId>
<groupId>io.seata</groupId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>io.seata</groupId>
<artifactId>seata-all</artifactId>
<version>0.9.0</version>
</dependency>
<!--feign-->
<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.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.mybatis.spring.boot</groupId>
<artifactId>mybatis-spring-boot-starter</artifactId>
<version>2.0.0</version>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>5.1.37</version>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid-spring-boot-starter</artifactId>
<version>1.1.10</version>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<optional>true</optional>
</dependency>
</dependencies>5.3.3.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:
driver-class-name: com.mysql.jdbc.Driver
url: jdbc:mysql://localhost:3306/seata_account
username: root
password: 123456
feign:
hystrix:
enabled: false
logging:
level:
io:
seata: info
mybatis:
mapperLocations: classpath:mapper/*.xml5.3.4.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 {
#这里的这个 fsp_tx_group 是我们服务器的file.conf 自定义的名称
vgroup_mapping.fsp_tx_group = "default"
default.grouplist = "127.0.0.1:8091"
enableDegrade = false
disable = false
max.commit.retry.timeout = "-1"
max.rollback.retry.timeout = "-1"
disableGlobalTransaction = false
}
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
#切换db
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"
#事务日志配置的seata配置
url = "jdbc:mysql://127.0.0.1:3306/seata"
user = "root"
password = "123456"
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
}
}5.3.5.registry.conf
这个文件跟seata服务器的配置文件的保持一样的配置信息
registry {
# file 、nacos 、eureka、redis、zk、consul、etcd3、sofa
type = "nacos"
nacos {
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"
}
}5.3.6.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);
}
}Account
@Data
@AllArgsConstructor
@NoArgsConstructor
public class Account {
private Long id;
/**
* 用户id
*/
private Long userId;
/**
* 总额度
*/
private BigDecimal total;
/**
* 已用额度
*/
private BigDecimal used;
/**
* 剩余额度
*/
private BigDecimal residue;
}
5.3.7.Dao接口及实现
AccountDao
@Mapper
public interface AccountDao {
/**
* 扣减账户余额
*/
void decrease(@Param("userId") Long userId, @Param("money") BigDecimal money);
}resources文件夹下新建mapper文件夹后添加AccountMapper.xml
<?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.chl.springcloud.alibaba.dao.AccountDao">
<resultMap id="BaseResultMap" type="com.chl.springcloud.alibaba.domain.Account">
<id column="id" property="id" jdbcType="BIGINT"/>
<result column="user_id" property="userId" jdbcType="BIGINT"/>
<result column="total" property="total" jdbcType="DECIMAL"/>
<result column="used" property="used" jdbcType="DECIMAL"/>
<result column="residue" property="residue" jdbcType="DECIMAL"/>
</resultMap>
<!--账户金额减少多少，剩下多少都更新进去-->
<update id="decrease">
UPDATE t_account
SET
residue = residue - #{money},used = used + #{money}
WHERE
user_id = #{userId};
</update>
</mapper>5.3.8.Service接口及实现
AccountService 账户service
public interface AccountService {
/**
* 扣减账户余额
*/
void decrease(@RequestParam("userId") Long userId, @RequestParam("money") BigDecimal money);
}AccountServiceImpl
/**
* 账户业务实现类
*/
@Service
@Slf4j
public class AccountServiceImpl implements AccountService {
@Resource
AccountDao accountDao;
/**
* 扣减账户余额
*/
@Override
public void decrease(Long userId, BigDecimal money) {
log.info("------->account-service中扣减账户余额开始");
//睡 20秒 feign 默认超时是 1秒 用来测试全局事务
try {
TimeUnit.SECONDS.sleep(20);
} catch (InterruptedException e) {
e.printStackTrace();
}
accountDao.decrease(userId,money);
log.info("------->account-service中扣减账户余额结束");
}
}5.3.9.Controller
@RestController
public class AccountController {
@Resource
AccountService accountService;
/**
* 扣减账户余额
*/
@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！");
}
}
5.3.10.Config配置
MyBatisConfig
@Configuration
@MapperScan({"com.chl.springcloud.alibaba.dao"})
public class MyBatisConfig {
}DataSourceProxyConfig （druid的数据连接池）
/**
* 数据连接池切换为druid
*/
@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 dataSource) {
return new DataSourceProxy(dataSource);
}
@Bean
public SqlSessionFactory sqlSessionFactoryBean(DataSourceProxy dataSourceProxy) throws Exception {
SqlSessionFactoryBean sqlSessionFactoryBean = new SqlSessionFactoryBean();
sqlSessionFactoryBean.setDataSource((DataSource) dataSourceProxy);
sqlSessionFactoryBean.setMapperLocations(new PathMatchingResourcePatternResolver().getResources(mapperLocations));
sqlSessionFactoryBean.setTransactionFactory(new SpringManagedTransactionFactory());
return sqlSessionFactoryBean.getObject();
}
}5.3.11.主启动
@EnableDiscoveryClient
@EnableFeignClients
//取消数据源自动创建的配置 用配置druid的
@SpringBootApplication(exclude = DataSourceAutoConfiguration.class)
public class SeataAccountMainApp2003 {
public static void main(String[] args) {
SpringApplication.run(SeataAccountMainApp2003.class, args);
}
}5.4测试全局事务
下订单->减库存->扣余额->改（订单）状态
5.4.1数据库初始情况
5.4.2正常下单
数据库情况
订单状态改为 1（已完结）
5.4.3超时异常，没加@GlobalTransactional
AccountServiceImpl添加超时
故障情况
当库存和账户余额扣减后，订单状态并没有设置为已经完成，没有从零改为1
而且由于feign的重试机制（1秒），账户的service，睡了20秒，所以超时
所以账户余额还有可能被多次扣减
5.4.4超时异常，添加@GlobalTransactional
在账户模块，AccountServiceImpl添加超时
/**
* 账户业务实现类
*/
@Service
@Slf4j
public class AccountServiceImpl implements AccountService {
@Resource
AccountDao accountDao;
/**
* 扣减账户余额
*/
@Override
public void decrease(Long userId, BigDecimal money) {
log.info("------->account-service中扣减账户余额开始");
//睡 20秒 feign 默认超时是 1秒 用来测试全局事务
try {
TimeUnit.SECONDS.sleep(20);
} catch (InterruptedException e) {
e.printStackTrace();
}
accountDao.decrease(userId,money);
log.info("------->account-service中扣减账户余额结束");
}
}在订单模块的下单方法添加@GlobalTransactional
@Service
@Slf4j
public class OrderServiceImpl implements OrderService {
@Resource
private OrderDao orderDao;
@Resource
private StorageService storageService;
@Resource
private AccountService accountService;
/**
* 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
*/
@Override
//对全部异常都回滚
@GlobalTransactional(name = "fsp-create-order",rollbackFor = Exception.class)
public void create(Order order){
log.info("----->开始新建订单");
//新建订单
orderDao.create(order);
//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");
//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");
//修改订单状态，从零到1代表已经完成
log.info("----->修改订单状态开始");
orderDao.update(order.getUserId(),0);
log.info("----->修改订单状态结束");
log.info("----->下订单结束了");
}
}下单后数据库数据并没有任何改变，记录都添加不进来，所以全局异常起作用了
6.Seata之原理简介
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起初，参加工作后用1.0以后的版本 0.9 不支持集群
TC/TM/RM三大组件
Transaction ID XID (全局事务ID)
- Transaction Coordinator(TC)
- Transaction Manager(TM)
- Resource Manager(RM)
- TC可以简单的理解为，本地安装的seata服务器
- TM可以简单理解为加上@GlobalTransactional 的方法 事务的发起方
- RM可以简单理解为涉及的一个数据库，就是一个RM 事务的参与方
- 这三个组件都是用 同一个 XID 一起管理
分布式事务的执行流程
- TM开启分布式事务(TM向TC注册全局事务记录)
- 换业务场景，编排数据库，服务等事务内资源（RM向TC汇报资源准备状态）
- 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）
- TC汇总事务信息，决定分布式事务是提交还是回滚
- 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
seata有四个模式如下，默认是AT
AT模式的简介
一阶段加载
- 在执行sql之前，先将之前的数据保存为 之前镜像
- 然后再执行sql
- 执行sql后的，再查询，再保存为新的镜像 然后生成行锁
二阶段提交
正常提交，就将之前的镜像和之后的镜像和行锁删除
二阶段回滚
根据一阶段的保存的之前镜像来还原数据
Debug测试
这里的相关表都是 用 xid 进行统一 关联来管理
branch_table 分支表，这次事务，设计的三个表 创建的3个分支
global_table 全局事务的表，这里的transsaction_name,是方法发起定义的名字
lock_table 行锁表 订单，库存，账户 ，都加的行锁，存在这个表
在订单，库存，账户 的undo_log 分别有1条记录，在rollback_info字段存的数据包含之前镜像和之后镜像的内容
这里拿账户的undo_log表 的rollback_info 如下，就是根据这个里面之前镜像和之后镜像，来回滚数据
{
"@class": "io.seata.rm.datasource.undo.BranchUndoLog",
"xid": "192.168.31.129:8091:2062724649",
"branchId": 2062724657,
"sqlUndoLogs": [
"java.util.ArrayList",
[
{
"@class": "io.seata.rm.datasource.undo.SQLUndoLog",
"sqlType": "UPDATE",
"tableName": "t_account",
//之前镜像
"beforeImage": {
"@class": "io.seata.rm.datasource.sql.struct.TableRecords",
"tableName": "t_account",
"rows": [
"java.util.ArrayList",
[
{
"@class": "io.seata.rm.datasource.sql.struct.Row",
"fields": [
"java.util.ArrayList",
[
{
"@class": "io.seata.rm.datasource.sql.struct.Field",
"name": "id",
"keyType": "PrimaryKey",
"type": -5,
"value": [
"java.lang.Long",
1
]
},
{
"@class": "io.seata.rm.datasource.sql.struct.Field",
"name": "residue",
"keyType": "NULL",
"type": 3,
"value": [
"java.math.BigDecimal",
800 //更改之前的数据
]
},
{
"@class": "io.seata.rm.datasource.sql.struct.Field",
"name": "used",
"keyType": "NULL",
"type": 3,
"value": [
"java.math.BigDecimal",
200 //更改之前的数据
]
}
]
]
}
]
]
},
//之后镜像
"afterImage": {
"@class": "io.seata.rm.datasource.sql.struct.TableRecords",
"tableName": "t_account",
"rows": [
"java.util.ArrayList",
[
{
"@class": "io.seata.rm.datasource.sql.struct.Row",
"fields": [
"java.util.ArrayList",
[
{
"@class": "io.seata.rm.datasource.sql.struct.Field",
"name": "id",
"keyType": "PrimaryKey",
"type": -5,
"value": [
"java.lang.Long",
1
]
},
{
"@class": "io.seata.rm.datasource.sql.struct.Field",
"name": "residue",
"keyType": "NULL",
"type": 3,
"value": [
"java.math.BigDecimal",
700 //更改后的数据
]
},
{
"@class": "io.seata.rm.datasource.sql.struct.Field",
"name": "used",
"keyType": "NULL",
"type": 3,
"value": [
"java.math.BigDecimal",
300 //更改后的数据
]
}
]
]
}
]
]
}
}
]
]
}事务正常执行后，相应的数据，就会全部删除了
补充
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