面我已经写过一篇SpringBoot+Nacos+Seata实现Dubbo分布式事务管理的文章，今天为什么还要写这篇呢，是因为好多公司还在用Zookeeper作为Dubbo的注册中心和配置中心在大规模使用，还没有完全迁移到Nacos上来，所以Seata的注册中心和配置也是支持Zookeeper，但是官方没有完整的使用教程，因此，写这篇主要为了帮助使用Zookeeper的用户也可以轻松使用Seata。
本文主要介绍SpringBoot2.1.5 + Dubbo 2.7.3 + Mybatis 3.4.2 + Zookeeper 3.4.14 +Seata 1.4.0整合来实现Dubbo分布式事务管理，使用Zookeeper 作为 Dubbo和Seata的注册中心和配置中心,使用 MySQL 数据库和 MyBatis来操作数据。
如果你还对SpringBoot、Dubbo、Zookeeper、Seata、 Mybatis 不是很了解的话，这里我为大家整理个它们的官网网站，如下
-
SpringBoot：https://spring.io/projects/spring-boot
-
Zookeeper：https://zookeeper.apache.org/
在这里我们就不一个一个介绍它们是怎么使用和原理，详细请学习官方文档，在这里我将开始对它们进行整合，完成一个简单的案例，来让大家了解Seata来实现Dubbo分布式事务管理的基本流程。
Zookeeper下载：https://archive.apache.org/dist/zookeeper/zookeeper-3.4.14/
Zookeeper 快速入门：http://zookeeper.apache.org/doc/r3.4.14/zookeeperStarted.html
在单机模式下启动Zookeeper非常简单。
我们将下载的文件解压缩到指定目录如：E:\tools\zookeeper-3.4.14
Zookeeper，我们需要一个配置文件。下面是一个示例，在conf/zoo.cfg:
tickTime=2000
initLimit=10
syncLimit=5
clientPort=2181
dataDir=E:\\tools\\zookeeper-3.4.14\\data
dataLogDir=E:\\tools\\zookeeper-3.4.14\\logs
以上配置的详细说明如下：
-
tickTime：用于配置 ZooKeeper 中最小时间单位的长度，很多运行时的时间间隔都是使用 tickTime 的倍数来表示的。例如，ZooKeeper 中会话的最小超时时间默认是 2*tickTime。 -
initLimit：该参数有默认值: 10，即表示是参数 tickTime 值得10倍，必须配置，且需要配置一个正整数，不支持系统属性方式配置。该参数用于配置 Leader 服务器等待 Follower 启动，并完成数据同步的时间。Follwer 服务器再启动过程中，会与 Leader 建立连接并完成对数据的同步，从而确定自己对外提供服务的其实状态。Leader 服务器允许 Follower 在 initLimit 时间内完成这个工作。 通常情况下，运维人员不用太在意这个参数的配置，使用默认值即可。但如果随着 ZooKeeper 集群管理的数据量增大，Follower 服务器再启动的时候，从 Leader 上进行同步数据的时间也会相应变长，于是无法在较短的时间完成数据同步。因此，在这种情况下，有必要适当调大这个参数。 -
syncLimit:该参数有默认值: 5，即表示参数 tickTime 值得5倍，必须配置，且需要配置一个正整数，不支持系统属性配置。该参数用于配置 Leader 服务器和 Follower 服务器之间进行心跳检测的最大延时时间。在 ZooKeeper 集群运行过程中，Leader 服务器会与所有的 Follower 进行心跳检测来确定该服务器是否存活。如果 Leader 服务器再 syncLimit 时间内无法获取到 Follower 的心跳检测响应，那么 Leader 就会认为该 Follower 已经脱离了和自己的同步。通常情况下，运维人员使用该参数的默认值即可，但如果部署ZooKeeper 集群的网络环境质量较低（例如网络延时较大或丢包严重），那么可以适当调大这个参数。 -
dataDir: 该参数有默认值: dataDir，可以不配置，不支持系统属性方式配置。参数 dataLogDir 用于配置 ZooKeeper 服务器存储事务日志文件的目录。默认情况下，ZooKeeper 会将事务日志文件和快照数据存储在同一目录中，应该尽量将这两者的牧区区分开来。另外，如果条件允许，可以将事务日志的存储位置配置在一个单独的磁盘上。事务日志记录对于磁盘的性能要求非常高，为了保证数据的一致性，ZooKeeper 在返回客户端事务请求相应之前，必须将本次请求对应的事务日志写入到磁盘中。因此，事务日志写入的性能直接决定了 ZooKeeper 在处理事务请求时的吞吐。针对同一块磁盘的其他并发读写操作（例如 ZooKeeper 运行时日志输出和操作系统自身的读写等），尤其是数据快照操作，会极大地影响事务日志的写性能。因此尽量给事务日志的输出配置一个单独的磁盘或挂载点，将极大地提升 ZooKeeper 的整体性能。 -
clientPort:用于配置当前服务器对外的服务端口，客户端会通过该端口和 ZooKeeper 服务器创建连接，一般设置为2181。每台 ZooKeeper 都可以配置任意可用的端口，同时集群中的所有服务器不需要保持 clientPort 端口一致。该参数无默认值，必须配置。
dataLogDir:存储日志的目录
启动Zookeeper：
bin/zkServer.cmd start
ZooKeeper 服务就正常启动了。
我们可以使客户端去来连接
bin/zkCli.cmd
stat path [watch]
set path data [version]
ls path [watch]
delquota [-n|-b] path
ls2 path [watch]
setAcl path acl
setquota -n|-b val path
history
redo cmdno
printwatches on|off
delete path [version]
sync path
listquota path
rmr path
get path [watch]
create [-s] [-e] path data acl
addauth scheme auth
quit
getAcl path
close
connect host:port我们是用ls查询节点情况
ls /
zookeeoer节点。
2.2.1 在 Seata Release 下载最新版的 Seata Server 并解压得到如下目录：
.
├──bin
├──conf
└──lib目前seata支持如下的file、nacos 、apollo、zk、consul的注册中心和配置中心。这里我们以zk 为例。
将 type 改为 zk
registry {
# file zk
type = "zk"
zk {
cluster = "default"
serverAddr = "127.0.0.1:2181"
session.timeout = 6000
connect.timeout = 2000
}
file {
name = "file.conf"
}
}
config {
# file、nacos 、apollo、zk、consul
type = "zk"
zk {
serverAddr = "127.0.0.1:2181"
session.timeout = 6000
connect.timeout = 2000
}
file {
name = "file.conf"
}
}
- serverAddr = "127.0.0.1:2181" ：zk 的地址
- cluster = "default" ：集群设置为默认
default - session.timeout = 6000 ：会话的超时时间
- connect.timeout = 2000：连接的超时时间
file.conf 配置
## transaction log store
store {
## store mode: file、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 = "druid"
## 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 = "123456"
min-conn = 1
max-conn = 3
global.table = "global_table"
branch.table = "branch_table"
lock-table = "lock_table"
query-limit = 100
}
}主要修改了store.mode为db,还有数据库相关的配置
service.vgroupMapping.order-service-seata-service-group=default
service.vgroupMapping.account-service-seata-service-group=default
service.vgroupMapping.storage-service-seata-service-group=default
service.vgroupMapping.business-service-seata-service-group=default
store.mode=db
store.db.datasource=dbcp
store.db.dbType=mysql
store.db.driverClassName=com.mysql.jdbc.Driver
store.db.url=jdbc:mysql://127.0.0.1:3306/seata?useUnicode=true
store.db.user=root
store.db.password=123456
store.db.minConn=1
store.db.maxConn=3
store.db.globalTable=global_table
store.db.branchTable=branch_table
store.db.queryLimit=100
store.db.lockTable=lock_table这里主要修改了如下几项：
- store.mode :存储模式 默认file 这里我修改为db 模式 ，并且需要三个表
global_table、branch_table和lock_table - store.db.driver-class-name： 默认没有，会报错。添加了
com.mysql.jdbc.Driver - store.db.datasource=dbcp ：数据源 dbcp
- store.db.db-type=mysql : 存储数据库的类型为
mysql - store.db.url=jdbc:mysql://127.0.0.1:3306/seata?useUnicode=true : 修改为自己的数据库
url、port、数据库名称 - store.db.user=root :数据库的账号
- store.db.password=123456 :数据库的密码
- service.vgroupMapping.order-service-seata-service-group=default
- service.vgroupMapping.account-service-seata-service-group=default
- service.vgroupMapping.storage-service-seata-service-group=default
- service.vgroupMapping.business-service-seata-service-group=default
db模式下的所需的三个表的数据库脚本位于seata\conf\db_store.sql
global_table的表结构
CREATE TABLE `global_table` (
`xid` varchar(128) NOT NULL,
`transaction_id` bigint(20) DEFAULT NULL,
`status` tinyint(4) NOT NULL,
`application_id` varchar(64) DEFAULT NULL,
`transaction_service_group` varchar(64) DEFAULT NULL,
`transaction_name` varchar(64) DEFAULT NULL,
`timeout` int(11) DEFAULT NULL,
`begin_time` bigint(20) DEFAULT NULL,
`application_data` varchar(2000) DEFAULT NULL,
`gmt_create` datetime DEFAULT NULL,
`gmt_modified` datetime DEFAULT NULL,
PRIMARY KEY (`xid`),
KEY `idx_gmt_modified_status` (`gmt_modified`,`status`),
KEY `idx_transaction_id` (`transaction_id`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
branch_table的表结构
CREATE TABLE `branch_table` (
`branch_id` bigint(20) NOT NULL,
`xid` varchar(128) NOT NULL,
`transaction_id` bigint(20) DEFAULT NULL,
`resource_group_id` varchar(32) DEFAULT NULL,
`resource_id` varchar(256) DEFAULT NULL,
`lock_key` varchar(128) DEFAULT NULL,
`branch_type` varchar(8) DEFAULT NULL,
`status` tinyint(4) DEFAULT NULL,
`client_id` varchar(64) DEFAULT NULL,
`application_data` varchar(2000) DEFAULT NULL,
`gmt_create` datetime DEFAULT NULL,
`gmt_modified` datetime DEFAULT NULL,
PRIMARY KEY (`branch_id`),
KEY `idx_xid` (`xid`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
lock_table的表结构
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(32) ,
`gmt_create` datetime ,
`gmt_modified` datetime,
primary key(`row_key`)
);
用于官方只提供了nacos的脚本配置。我这用java实现了将 Seata 配置添加到 Zookeeper 中。
我这里参考了ZookeeperConfiguration的源码实现的导入到zk的初始化代码。
通过查看以上源代码我们可以看出
zk模式下数据的存储格式。并且使用的zk的永久节点存储。
public ZookeeperConfiguration() {
if (zkClient == null) {
synchronized (ZookeeperConfiguration.class) {
if (zkClient == null) {
ZkSerializer zkSerializer = getZkSerializer();
String serverAddr = FILE_CONFIG.getConfig(FILE_CONFIG_KEY_PREFIX + SERVER_ADDR_KEY);
int sessionTimeout = FILE_CONFIG.getInt(FILE_CONFIG_KEY_PREFIX + SESSION_TIMEOUT_KEY, DEFAULT_SESSION_TIMEOUT);
int connectTimeout = FILE_CONFIG.getInt(FILE_CONFIG_KEY_PREFIX + CONNECT_TIMEOUT_KEY, DEFAULT_CONNECT_TIMEOUT);
zkClient = new ZkClient(serverAddr, sessionTimeout, connectTimeout, zkSerializer);
String username = FILE_CONFIG.getConfig(FILE_CONFIG_KEY_PREFIX + AUTH_USERNAME);
String password = FILE_CONFIG.getConfig(FILE_CONFIG_KEY_PREFIX + AUTH_PASSWORD);
if (!StringUtils.isBlank(username) && !StringUtils.isBlank(password)) {
StringBuilder auth = new StringBuilder(username).append(":").append(password);
zkClient.addAuthInfo("digest", auth.toString().getBytes());
}
}
}
if (!zkClient.exists(ROOT_PATH)) {
zkClient.createPersistent(ROOT_PATH, true);
}
}
}注意：1.3.0 加入了ZkSerializer序列化。
public boolean putConfig(String dataId, String content, long timeoutMills) {
FutureTask<Boolean> future = new FutureTask<>(() -> {
String path = ROOT_PATH + ZK_PATH_SPLIT_CHAR + dataId;
if (!zkClient.exists(path)) {
zkClient.create(path, content, CreateMode.PERSISTENT);
} else {
zkClient.writeData(path, content);
}
return true;
});
CONFIG_EXECUTOR.execute(future);
try {
return future.get(timeoutMills, TimeUnit.MILLISECONDS);
} catch (Exception e) {
LOGGER.error("putConfig {}, value: {} is error or timeout, exception: {}",
dataId, content, e.getMessage());
return false;
}
}package io.seata.samples.integration.call;
import io.seata.config.zk.DefaultZkSerializer;
import lombok.extern.slf4j.Slf4j;
import org.I0Itec.zkclient.ZkClient;
import org.I0Itec.zkclient.exception.ZkMarshallingError;
import org.I0Itec.zkclient.serialize.ZkSerializer;
import org.apache.zookeeper.CreateMode;
import org.springframework.util.ResourceUtils;
import java.io.File;
import java.io.FileInputStream;
import java.io.IOException;
import java.io.InputStream;
import java.util.Properties;
import java.util.Set;
/**
*
*/
@Slf4j
public class ZkDataInit {
private static volatile ZkClient zkClient;
public static void main(String[] args) {
if (zkClient == null) {
ZkSerializer zkSerializer = new DefaultZkSerializer();
zkClient = new ZkClient("127.0.0.1:2181", 6000, 2000, zkSerializer);
}
if (!zkClient.exists("/seata")) {
zkClient.createPersistent("/seata", true);
}
//获取key对应的value值
Properties properties = new Properties();
// 使用ClassLoader加载properties配置文件生成对应的输入流
// 使用properties对象加载输入流
try {
File file = ResourceUtils.getFile("classpath:zk-config.properties");
InputStream in = new FileInputStream(file);
properties.load(in);
Set<Object> keys = properties.keySet();//返回属性key的集合
for (Object key : keys) {
boolean b = putConfig(key.toString(), properties.get(key).toString());
log.info(key.toString() + "=" + properties.get(key)+"result="+b);
}
} catch (IOException e) {
e.printStackTrace();
}
}
/**
*
* @param dataId
* @param content
* @return
*/
public static boolean putConfig(final String dataId, final String content) {
Boolean flag = false;
String path = "/seata/" + dataId;
if (!zkClient.exists(path)) {
zkClient.create(path, content, CreateMode.PERSISTENT);
flag = true;
} else {
zkClient.writeData(path, content);
flag = true;
}
return flag;
}
}[zk: localhost:2181(CONNECTED) 10] ls /seata
[transport.threadFactory.clientSelectorThreadSize, transport.threadFactory.serve
rExecutorThreadPrefix, store.db.minConn, store.file.maxBranchSessionSize, client
.undo.logTable, transport.threadFactory.clientSelectorThreadPrefix, server.recov
ery.rollbackingRetryPeriod, store.db.datasource, transport.server, client.rm.rep
ortSuccessEnable, transport.enableClientBatchSendRequest, client.rm.lock.retryIn
terval, client.tm.commitRetryCount, client.undo.onlyCareUpdateColumns, store.db.
globalTable, store.redis.password, client.rm.lock.retryTimes, store.db.dbType, s
ervice.disableGlobalTransaction, server.recovery.timeoutRetryPeriod, service.vgr
oupMapping.manage-service-seata-service-group, transport.threadFactory.bossThrea
dSize, store.redis.queryLimit, store.file.maxGlobalSessionSize, store.db.maxConn
, server.recovery.committingRetryPeriod, store.db.queryLimit, store.mode, transp
ort.serialization, store.file.dir, transport.threadFactory.clientWorkerThreadPre
fix, client.rm.tableMetaCheckEnable, store.db.branchTable, transport.compressor,
store.db.user, store.db.url, transport.threadFactory.workerThreadSize, transpor
t.threadFactory.bossThreadPrefix, client.rm.reportRetryCount, store.db.driverCla
ssName, client.tm.degradeCheckAllowTimes, service.default.grouplist, server.maxR
ollbackRetryTimeout, client.tm.rollbackRetryCount, client.undo.logSerialization,
metrics.exporterList, service.vgroupMapping.sales-service-seata-service-group,
store.file.flushDiskMode, metrics.enabled, client.rm.asyncCommitBufferLimit, sto
re.db.password, store.file.sessionReloadReadSize, metrics.exporterPrometheusPort
, server.rollbackRetryTimeoutUnlockEnable, client.tm.degradeCheck, store.redis.d
atabase, store.redis.host, client.undo.dataValidation, client.rm.lock.retryPolic
yBranchRollbackOnConflict, server.recovery.asynCommittingRetryPeriod, metrics.re
gistryType, client.log.exceptionRate, transport.threadFactory.shareBossWorker, c
lient.rm.sqlParserType, service.enableDegrade, transport.threadFactory.workerThr
eadPrefix, transport.type, service.vgroupMapping.infoManage-service-seata-servic
e-group, server.maxCommitRetryTimeout, transport.heartbeat, store.db.lockTable,
server.undo.logSaveDays, server.undo.logDeletePeriod, client.rm.sagaBranchRegist
erEnable, store.redis.port, store.db.maxWait, store.redis.minConn, transport.shu
tdown.wait, store.redis.maxConn, store.file.fileWriteBufferCacheSize, client.tm.
degradeCheckPeriod]
所有的配置都已经导入成功。
使用db 模式启动
cd ..
bin/seata-server.bat -m db这时候在 zookeeper 的我们在客户端可以使使用命令查询节点
[zk: localhost:2181(CONNECTED) 4] ls /
registry zookeeper seata
[zk: localhost:2181(CONNECTED) 4] ls /registry/zk/default
[192.168.10.108:8091]看到这，seata server就已经搭建成功
参考官网中用户购买商品的业务逻辑。整个业务逻辑由4个微服务提供支持：
- 库存服务：扣除给定商品的存储数量。
- 订单服务：根据购买请求创建订单。
- 帐户服务：借记用户帐户的余额。
- 业务服务：处理业务逻辑。
请求逻辑架构
springboot-dubbo-seata：https://github.com/lidong1665/springboot-dubbo-seata-zk
-
samples-common ：公共模块
-
samples-account ：用户账号模块
-
samples-order ：订单模块
-
samples-storage ：库存模块
-
samples-business ：业务模块
/**
* @Author: lidong
* @Description 账户服务接口
* @Date Created in 2019/9/5 16:37
*/
public interface AccountDubboService {
/**
* 从账户扣钱
*/
ObjectResponse decreaseAccount(AccountDTO accountDTO);
}/**
* @Author: lidong
* @Description 订单服务接口
* @Date Created in 2019/9/5 16:28
*/
public interface OrderDubboService {
/**
* 创建订单
*/
ObjectResponse<OrderDTO> createOrder(OrderDTO orderDTO);
}/**
* @Author: lidong
* @Description 库存服务
* @Date Created in 2019/9/5 16:22
*/
public interface StorageDubboService {
/**
* 扣减库存
*/
ObjectResponse decreaseStorage(CommodityDTO commodityDTO);
}/**
* @Author: lidong
* @Description
* @Date Created in 2019/9/5 17:17
*/
public interface BusinessService {
/**
* 出处理业务服务
* @param businessDTO
* @return
*/
ObjectResponse handleBusiness(BusinessDTO businessDTO);
}业务逻辑的具体实现主要体现在 订单服务的实现和业务服务的实现
订单服务的实现
@Service
public class TOrderServiceImpl extends ServiceImpl<TOrderMapper, TOrder> implements ITOrderService {
@Reference(version = "1.0.0")
private AccountDubboService accountDubboService;
/**
* 创建订单
* @Param: OrderDTO 订单对象
* @Return: OrderDTO 订单对象
*/
@Override
public ObjectResponse<OrderDTO> createOrder(OrderDTO orderDTO) {
ObjectResponse<OrderDTO> response = new ObjectResponse<>();
//扣减用户账户
AccountDTO accountDTO = new AccountDTO();
accountDTO.setUserId(orderDTO.getUserId());
accountDTO.setAmount(orderDTO.getOrderAmount());
ObjectResponse objectResponse = accountDubboService.decreaseAccount(accountDTO);
//生成订单号
orderDTO.setOrderNo(UUID.randomUUID().toString().replace("-",""));
//生成订单
TOrder tOrder = new TOrder();
BeanUtils.copyProperties(orderDTO,tOrder);
tOrder.setCount(orderDTO.getOrderCount());
tOrder.setAmount(orderDTO.getOrderAmount().doubleValue());
try {
baseMapper.createOrder(tOrder);
} catch (Exception e) {
response.setStatus(RspStatusEnum.FAIL.getCode());
response.setMessage(RspStatusEnum.FAIL.getMessage());
return response;
}
if (objectResponse.getStatus() != 200) {
response.setStatus(RspStatusEnum.FAIL.getCode());
response.setMessage(RspStatusEnum.FAIL.getMessage());
return response;
}
response.setStatus(RspStatusEnum.SUCCESS.getCode());
response.setMessage(RspStatusEnum.SUCCESS.getMessage());
return response;
}
}整个业务的实现逻辑
@Service
@Slf4j
public class BusinessServiceImpl implements BusinessService{
@Reference(version = "1.0.0")
private StorageDubboService storageDubboService;
@Reference(version = "1.0.0")
private OrderDubboService orderDubboService;
private boolean flag;
/**
* 处理业务逻辑
* @Param:
* @Return:
*/
@GlobalTransactional(timeoutMills = 300000, name = "dubbo-gts-seata-example")
@Override
public ObjectResponse handleBusiness(BusinessDTO businessDTO) {
log.info("开始全局事务，XID = " + RootContext.getXID());
ObjectResponse<Object> objectResponse = new ObjectResponse<>();
//1、扣减库存
CommodityDTO commodityDTO = new CommodityDTO();
commodityDTO.setCommodityCode(businessDTO.getCommodityCode());
commodityDTO.setCount(businessDTO.getCount());
ObjectResponse storageResponse = storageDubboService.decreaseStorage(commodityDTO);
//2、创建订单
OrderDTO orderDTO = new OrderDTO();
orderDTO.setUserId(businessDTO.getUserId());
orderDTO.setCommodityCode(businessDTO.getCommodityCode());
orderDTO.setOrderCount(businessDTO.getCount());
orderDTO.setOrderAmount(businessDTO.getAmount());
ObjectResponse<OrderDTO> response = orderDubboService.createOrder(orderDTO);
//打开注释测试事务发生异常后，全局回滚功能
// if (!flag) {
// throw new RuntimeException("测试抛异常后，分布式事务回滚！");
// }
if (storageResponse.getStatus() != 200 || response.getStatus() != 200) {
throw new DefaultException(RspStatusEnum.FAIL);
}
objectResponse.setStatus(RspStatusEnum.SUCCESS.getCode());
objectResponse.setMessage(RspStatusEnum.SUCCESS.getMessage());
objectResponse.setData(response.getData());
return objectResponse;
}
}
我们只需要在业务处理的方法handleBusiness添加一个注解 @GlobalTransactional
@GlobalTransactional(timeoutMills = 300000, name = "dubbo-gts-seata-example")
@Override
public ObjectResponse handleBusiness(BusinessDTO businessDTO) {
}timeoutMills: 超时时间name：事务名称
注意: MySQL必须使用InnoDB engine.
创建数据库 并导入数据库脚本
DROP DATABASE IF EXISTS seata;
CREATE DATABASE seata;
USE seata;
DROP TABLE IF EXISTS `t_account`;
CREATE TABLE `t_account` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`user_id` varchar(255) DEFAULT NULL,
`amount` double(14,2) DEFAULT '0.00',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=2 DEFAULT CHARSET=utf8;
-- ----------------------------
-- Records of t_account
-- ----------------------------
INSERT INTO `t_account` VALUES ('1', '1', '4000.00');
-- ----------------------------
-- Table structure for t_order
-- ----------------------------
DROP TABLE IF EXISTS `t_order`;
CREATE TABLE `t_order` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`order_no` varchar(255) DEFAULT NULL,
`user_id` varchar(255) DEFAULT NULL,
`commodity_code` varchar(255) DEFAULT NULL,
`count` int(11) DEFAULT '0',
`amount` double(14,2) DEFAULT '0.00',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=64 DEFAULT CHARSET=utf8;
-- ----------------------------
-- Records of t_order
-- ----------------------------
-- ----------------------------
-- Table structure for t_storage
-- ----------------------------
DROP TABLE IF EXISTS `t_storage`;
CREATE TABLE `t_storage` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`commodity_code` varchar(255) DEFAULT NULL,
`name` varchar(255) DEFAULT NULL,
`count` int(11) DEFAULT '0',
PRIMARY KEY (`id`),
UNIQUE KEY `commodity_code` (`commodity_code`)
) ENGINE=InnoDB AUTO_INCREMENT=2 DEFAULT CHARSET=utf8;
-- ----------------------------
-- Records of t_storage
-- ----------------------------
INSERT INTO `t_storage` VALUES ('1', 'C201901140001', '水杯', '1000');
-- ----------------------------
-- Table structure for undo_log
-- 注意此处0.3.0+ 增加唯一索引 ux_undo_log
-- ----------------------------
DROP TABLE IF EXISTS `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;
-- ----------------------------
-- Records of undo_log
-- ----------------------------
SET FOREIGN_KEY_CHECKS=1;会看到如上的4个表
+-------------------------+
| Tables_in_seata |
+-------------------------+
| t_account |
| t_order |
| t_storage |
| undo_log |
+-------------------------+这里为了简化我将这个三张表创建到一个库中,使用是三个数据源来实现。
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>2.1.5.RELEASE</version>
<relativePath/> <!-- lookup parent from repository -->
</parent>
<artifactId>springboot-dubbo-seata</artifactId>
<packaging>pom</packaging>
<name>springboot-dubbo-seata</name>
<groupId>io.seata</groupId>
<version>1.0.0</version>
<description>Demo project for Spring Cloud Alibaba Dubbo</description>
<modules>
<module>samples-common</module>
<module>samples-account</module>
<module>samples-order</module>
<module>samples-storage</module>
<module>samples-business</module>
</modules>
<properties>
<springboot.verison>2.1.5.RELEASE</springboot.verison>
<java.version>1.8</java.version>
<druid.version>1.1.10</druid.version>
<mybatis.version>1.3.2</mybatis.version>
<mybatis-plus.version>2.3</mybatis-plus.version>
<lombok.version>1.16.22</lombok.version>
<dubbo.version>2.7.3</dubbo.version>
<seata.version>0.9.0</seata.version>
<netty.version>4.1.32.Final</netty.version>
</properties>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
<version>${springboot.verison}</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter</artifactId>
<version>${springboot.verison}</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<version>${springboot.verison}</version>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid</artifactId>
<version>${druid.version}</version>
</dependency>
<dependency>
<groupId>org.mybatis.spring.boot</groupId>
<artifactId>mybatis-spring-boot-starter</artifactId>
<version>${mybatis.version}</version>
</dependency>
<dependency>
<groupId>com.baomidou</groupId>
<artifactId>mybatis-plus</artifactId>
<version>${mybatis-plus.version}</version>
</dependency>
<dependency>
<groupId>org.apache.dubbo</groupId>
<artifactId>dubbo</artifactId>
<version>${dubbo.version}</version>
<exclusions>
<exclusion>
<artifactId>spring</artifactId>
<groupId>org.springframework</groupId>
</exclusion>
</exclusions>
</dependency>
<dependency>
<groupId>org.apache.dubbo</groupId>
<artifactId>dubbo-spring-boot-starter</artifactId>
<version>${dubbo.version}</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.dubbo/dubbo-config-spring -->
<dependency>
<groupId>org.apache.dubbo</groupId>
<artifactId>dubbo-config-spring</artifactId>
<version>${dubbo.version}</version>
</dependency>
<dependency>
<groupId>org.apache.dubbo</groupId>
<artifactId>dubbo-registry-zookeeper</artifactId>
<version>${dubbo.version}</version>
</dependency>
<!-- https://mvnrepository.com/artifact/io.seata/seata-all -->
<dependency>
<groupId>io.seata</groupId>
<artifactId>seata-all</artifactId>
<version>${seata.version}</version>
</dependency>
<dependency>
<groupId>org.apache.dubbo</groupId>
<artifactId>dubbo-dependencies-zookeeper</artifactId>
<version>${dubbo.version}</version>
<type>pom</type>
</dependency>
<dependency>
<groupId>org.apache.zookeeper</groupId>
<artifactId>zookeeper</artifactId>
<version>3.4.14</version>
</dependency>
<dependency>
<groupId>org.apache.curator</groupId>
<artifactId>curator-framework</artifactId>
<version>4.0.1</version>
</dependency>
<!-- https://mvnrepository.com/artifact/com.101tec/zkclient -->
<dependency>
<groupId>com.101tec</groupId>
<artifactId>zkclient</artifactId>
<version>0.11</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
<version>${springboot.verison}</version>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<version>${lombok.version}</version>
</dependency>
<dependency>
<groupId>io.netty</groupId>
<artifactId>netty-all</artifactId>
<version>${netty.version}</version>
</dependency>
<dependency>
<groupId>com.alibaba.spring</groupId>
<artifactId>spring-context-support</artifactId>
<version>1.0.2</version>
</dependency>
<dependency>
<groupId>org.apache.httpcomponents</groupId>
<artifactId>httpclient</artifactId>
<version>4.5</version>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<version>5.1.47</version>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-maven-plugin</artifactId>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-deploy-plugin</artifactId>
<configuration>
<skip>true</skip>
</configuration>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-compiler-plugin</artifactId>
<configuration>
<source>${java.version}</source>
<target>${java.version}</target>
</configuration>
</plugin>
</plugins>
</build>
</project>
注意：
seata-all: 这个是seata 所需的主要依赖。dubbo-spring-boot-starter: springboot dubbo的依赖。
其他的就不一一介绍，其他的一目了然，就知道是干什么的。
server.port=8102
spring.application.name=dubbo-account-example
#====================================Dubbo config===============================================
dubbo.application.id= dubbo-account-example
dubbo.application.name= dubbo-account-example
dubbo.protocol.id=dubbo
dubbo.protocol.name=dubbo
dubbo.registry.id=dubbo-account-example-registry
dubbo.registry.address=zookeeper://127.0.0.1:2181
dubbo.protocol.port=20880
dubbo.application.qos-enable=false
dubbo.config-center.address=zookeeper://127.0.0.1:2181
dubbo.metadata-report.address=zookeeper://127.0.0.1:2181
#====================================mysql config============================================
spring.datasource.driver-class-name=com.mysql.jdbc.Driver
spring.datasource.url=jdbc:mysql://127.0.0.1:3306/seata?useSSL=false&useUnicode=true&characterEncoding=utf-8&allowMultiQueries=true
spring.datasource.username=root
spring.datasource.password=123456
#=====================================mybatis config======================================
mybatis.mapper-locations=classpath*:/mapper/*.xmlregistry {
# file 、nacos 、eureka、redis、zk
type = "zk"
nacos {
serverAddr = "localhost"
namespace = "public"
cluster = "default"
}
eureka {
serviceUrl = "http://localhost:1001/eureka"
application = "default"
weight = "1"
}
redis {
serverAddr = "127.0.0.1:6379"
db = "0"
}
zk {
cluster = "default"
serverAddr = "localhost:2181"
session.timeout = 6000
connect.timeout = 2000
}
file {
name = "file.conf"
}
}
config {
# file、nacos 、apollo、zk
type = "zk"
nacos {
serverAddr = "localhost"
namespace = "public"
cluster = "default"
}
apollo {
app.id = "fescar-server"
apollo.meta = "http://192.168.1.204:8801"
}
zk {
serverAddr = "127.0.0.1:2181"
session.timeout = 6000
connect.timeout = 2000
}
file {
name = "file.conf"
}
}
package io.seata.samples.integration.account.config;
import com.alibaba.druid.pool.DruidDataSource;
import io.seata.rm.datasource.DataSourceProxy;
import io.seata.spring.annotation.GlobalTransactionScanner;
import org.apache.ibatis.session.SqlSessionFactory;
import org.apache.ibatis.transaction.jdbc.JdbcTransactionFactory;
import org.mybatis.spring.SqlSessionFactoryBean;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.autoconfigure.jdbc.DataSourceProperties;
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;
/**
* @Author: llidong
* @Description seata global configuration
* @Date Created in 2019/9/05 10:28
*/
@Configuration
public class SeataAutoConfig {
/**
* autowired datasource config
*/
@Autowired
private DataSourceProperties dataSourceProperties;
/**
* init durid datasource
*
* @Return: druidDataSource datasource instance
*/
@Bean
@Primary
public DruidDataSource druidDataSource(){
DruidDataSource druidDataSource = new DruidDataSource();
druidDataSource.setUrl(dataSourceProperties.getUrl());
druidDataSource.setUsername(dataSourceProperties.getUsername());
druidDataSource.setPassword(dataSourceProperties.getPassword());
druidDataSource.setDriverClassName(dataSourceProperties.getDriverClassName());
druidDataSource.setInitialSize(0);
druidDataSource.setMaxActive(180);
druidDataSource.setMaxWait(60000);
druidDataSource.setMinIdle(0);
druidDataSource.setValidationQuery("Select 1 from DUAL");
druidDataSource.setTestOnBorrow(false);
druidDataSource.setTestOnReturn(false);
druidDataSource.setTestWhileIdle(true);
druidDataSource.setTimeBetweenEvictionRunsMillis(60000);
druidDataSource.setMinEvictableIdleTimeMillis(25200000);
druidDataSource.setRemoveAbandoned(true);
druidDataSource.setRemoveAbandonedTimeout(1800);
druidDataSource.setLogAbandoned(true);
return druidDataSource;
}
/**
* init datasource proxy
* @Param: druidDataSource datasource bean instance
* @Return: DataSourceProxy datasource proxy
*/
@Bean
public DataSourceProxy dataSourceProxy(DruidDataSource druidDataSource){
return new DataSourceProxy(druidDataSource);
}
/**
* init mybatis sqlSessionFactory
* @Param: dataSourceProxy datasource proxy
* @Return: DataSourceProxy datasource proxy
*/
@Bean
public SqlSessionFactory sqlSessionFactory(DataSourceProxy dataSourceProxy) throws Exception {
SqlSessionFactoryBean factoryBean = new SqlSessionFactoryBean();
factoryBean.setDataSource(dataSourceProxy);
factoryBean.setMapperLocations(new PathMatchingResourcePatternResolver()
.getResources("classpath*:/mapper/*.xml"));
return factoryBean.getObject();
}
/**
* init global transaction scanner
*
* @Return: GlobalTransactionScanner
*/
@Bean
public GlobalTransactionScanner globalTransactionScanner(){
return new GlobalTransactionScanner("account-gts-seata-example", "account-service-seata-service-group");
}
}其中:
@Bean
public GlobalTransactionScanner globalTransactionScanner(){
return new GlobalTransactionScanner("account-gts-seata-example", "account-service-seata-service-group");
}
GlobalTransactionScanner: 初始化全局的事务扫描器
/**
* Instantiates a new Global transaction scanner.
*
* @param applicationId the application id
* @param txServiceGroup the default server group
*/
public GlobalTransactionScanner(String applicationId, String txServiceGroup) {
this(applicationId, txServiceGroup, DEFAULT_MODE);
}
- applicationId ：为应用id 这里我传入的是
account-gts-seata-example - txServiceGroup: 默认server的分组 这里我传入的是
account-service-seata-service-group这个和我们前面在nacos 配置的是保存一致。 - DEFAULT_MODE：默认的事务模式 为AT_MODE + MT_MODE
package io.seata.samples.integration.account;
import org.apache.dubbo.config.spring.context.annotation.EnableDubbo;
import org.mybatis.spring.annotation.MapperScan;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.boot.context.config.ConfigFileApplicationListener;
@SpringBootApplication(scanBasePackages = "io.seata.samples.integration.account")
@MapperScan({"io.seata.samples.integration.account.mapper"})
@EnableDubbo(scanBasePackages = "io.seata.samples.integration.account")
public class AccountExampleApplication {
public static void main(String[] args) {
SpringApplication.run(AccountExampleApplication.class, args);
}
}
-
@EnableDubbo等同于@DubboComponentScan和@EnableDubboConfig组合 -
@DubboComponentScan扫描 classpaths 下类中添加了@Service和@Reference将自动注入到spring beans中。 -
@EnableDubboConfig 扫描的dubbo的外部化配置。
启动 samples-account、samples-order、samples-storage、samples-business
并且在zk的客户端查看注册情况
我们可以看到上面的服务都已经注册成功。
使用postman 发送 ：http://localhost:8104/business/dubbo/buy
参数：
{
"userId":"1",
"commodityCode":"C201901140001",
"name":"fan",
"count":50,
"amount":"100"
}返回
{
"status": 200,
"message": "成功",
"data": null
}这时候控制台：
2019-10-21 12:04:54.816 INFO 12780 --- [nio-8104-exec-1] i.s.s.i.c.controller.BusinessController : 请求参数：BusinessDTO(userId=1, commodityCode=C201901140001, name=fan, count=50, amount=100)
2019-10-21 12:04:54.823 INFO 12780 --- [nio-8104-exec-1] i.s.common.loader.EnhancedServiceLoader : load ContextCore[null] extension by class[io.seata.core.context.ThreadLocalContextCore]
2019-10-21 12:04:54.829 ERROR 12780 --- [nio-8104-exec-1] i.s.config.zk.ZookeeperConfiguration : getConfig client.tm.commit.retry.count is error or timeout,return defaultValue 1
2019-10-21 12:04:54.830 ERROR 12780 --- [nio-8104-exec-1] i.s.config.zk.ZookeeperConfiguration : getConfig client.tm.rollback.retry.count is error or timeout,return defaultValue 1
2019-10-21 12:04:54.833 INFO 12780 --- [nio-8104-exec-1] i.s.common.loader.EnhancedServiceLoader : load TransactionManager[null] extension by class[io.seata.tm.DefaultTransactionManager]
2019-10-21 12:04:54.833 INFO 12780 --- [nio-8104-exec-1] io.seata.tm.TransactionManagerHolder : TransactionManager Singleton io.seata.tm.DefaultTransactionManager@394cfa5a
2019-10-21 12:04:54.840 INFO 12780 --- [nio-8104-exec-1] i.s.common.loader.EnhancedServiceLoader : load LoadBalance[null] extension by class[io.seata.discovery.loadbalance.RandomLoadBalance]
2019-10-21 12:04:55.037 INFO 12780 --- [nio-8104-exec-1] i.seata.tm.api.DefaultGlobalTransaction : Begin new global transaction [192.168.10.108:8091:2025358030]
2019-10-21 12:04:57.473 INFO 12780 --- [nio-8104-exec-1] i.s.s.i.c.service.BusinessServiceImpl : 开始全局事务，XID = 192.168.10.108:8091:2025358030
2019-10-21 12:05:04.280 INFO 12780 --- [nio-8104-exec-1] i.seata.tm.api.DefaultGlobalTransaction : [192.168.10.108:8091:2025358030] commit status:Committed
事务提交成功，
我们来看一下数据库数据变化
t_account
我们samples-business将BusinessServiceImpl的handleBusiness2 下面的代码去掉注释
if (!flag) {
throw new RuntimeException("测试抛异常后，分布式事务回滚！");
}
使用postman 发送 ：http://localhost:8104/business/dubbo/buy2
.响应结果：
{
"timestamp": "2019-09-05T04:29:34.178+0000",
"status": 500,
"error": "Internal Server Error",
"message": "测试抛异常后，分布式事务回滚！",
"path": "/business/dubbo/buy"
}控制台
2019-10-21 12:05:46.752 INFO 12780 --- [nio-8104-exec-3] i.s.s.i.c.controller.BusinessController : 请求参数：BusinessDTO(userId=1, commodityCode=C201901140001, name=fan, count=50, amount=100)
2019-10-21 12:05:46.785 INFO 12780 --- [nio-8104-exec-3] i.seata.tm.api.DefaultGlobalTransaction : Begin new global transaction [192.168.10.108:8091:2025358056]
2019-10-21 12:05:46.786 INFO 12780 --- [nio-8104-exec-3] i.s.s.i.c.service.BusinessServiceImpl : 开始全局事务，XID = 192.168.10.108:8091:2025358056
2019-10-21 12:05:50.285 INFO 12780 --- [nio-8104-exec-3] i.seata.tm.api.DefaultGlobalTransaction : [192.168.10.108:8091:2025358056] rollback status:Rollbacked
2019-10-21 12:05:50.477 ERROR 12780 --- [nio-8104-exec-3] o.a.c.c.C.[.[.[/].[dispatcherServlet] : Servlet.service() for servlet [dispatcherServlet] in context with path [] threw exception [Request processing failed; nested exception is java.lang.RuntimeException: 测试抛异常后，分布式事务回滚！] with root cause
java.lang.RuntimeException: 测试抛异常后，分布式事务回滚！
at io.seata.samples.integration.call.service.BusinessServiceImpl.handleBusiness2(BusinessServiceImpl.java:93) ~[classes/:na]
at io.seata.samples.integration.call.service.BusinessServiceImpl$$FastClassBySpringCGLIB$$2ab3d645.invoke(<generated>) ~[classes/:na]
at org.springframework.cglib.proxy.MethodProxy.invoke(MethodProxy.java:218) ~[spring-core-5.1.7.RELEASE.jar:5.1.7.RELEASE]
at org.springframework.aop.framework.CglibAopProxy$CglibMethodInvocation.invokeJoinpoint(CglibAopProxy.java:749) ~[spring-aop-5.1.7.RELEASE.jar:5.1.7.RELEASE]
at org.springframework.aop.framework.ReflectiveMethodInvocation.proceed(ReflectiveMethodInvocation.java:163) ~[spring-aop-5.1.7.RELEASE.jar:5.1.7.RELEASE]
at io.seata.spring.annotation.GlobalTransactionalInterceptor$1.execute(GlobalTransactionalInterceptor.java:104) ~[seata-all-0.9.0.jar:0.9.0]
at io.seata.tm.api.TransactionalTemplate.execute(TransactionalTemplate.java:64) ~[seata-all-0.9.0.jar:0.9.0]
at io.seata.spring.annotation.GlobalTransactionalInterceptor.handleGlobalTransaction(GlobalTransactionalInterceptor.java:101) ~[seata-all-0.9.0.jar:0.9.0]
at io.seata.spring.annotation.GlobalTransactionalInterceptor.invoke(GlobalTransactionalInterceptor.java:76) ~[seata-all-0.9.0.jar:0.9.0]
at org.springframework.aop.framework.ReflectiveMethodInvocation.proceed(ReflectiveMethodInvocation.java:186) ~[spring-aop-5.1.7.RELEASE.jar:5.1.7.RELEASE]
at org.springframework.aop.framework.CglibAopProxy$DynamicAdvisedInterceptor.intercept(CglibAopProxy.java:688) ~[spring-aop-5.1.7.RELEASE.jar:5.1.7.RELEASE]
at io.seata.samples.integration.call.service.BusinessServiceImpl$$EnhancerBySpringCGLIB$$a8aa15d5.handleBusiness2(<generated>) ~[classes/:na]
at io.seata.samples.integration.call.controller.BusinessController.handleBusiness2(BusinessController.java:48) ~[classes/:na]
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) ~[na:1.8.0_144]
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62) ~[na:1.8.0_144]
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) ~[na:1.8.0_144]
at java.lang.reflect.Method.invoke(Method.java:498) ~[na:1.8.0_144]
at org.springframework.web.method.support.InvocableHandlerMethod.doInvoke(InvocableHandlerMethod.java:190) ~[spring-web-5.1.7.RELEASE.jar:5.1.7.RELEASE]
at org.springframework.web.method.support.InvocableHandlerMethod.invokeForRequest(InvocableHandlerMethod.java:138) ~[spring-web-5.1.7.RELEASE.jar:5.1.7.RELEASE]
at org.springframework.web.servlet.mvc.method.annotation.ServletInvocableHandlerMethod.invokeAndHandle(ServletInvocableHandlerMethod.java:104) ~[spring-webmvc-5.1.7.RELEASE.jar:5.1.7.RELEASE]
at org.springframework.web.servlet.mvc.method.annotation.RequestMappingHandlerAdapter.invokeHandlerMethod(RequestMappingHandlerAdapter.java:892) ~[spring-webmvc-5.1.7.RELEASE.jar:5.1.7.RELEASE]
at org.springframework.web.servlet.mvc.method.annotation.RequestMappingHandlerAdapter.handleInternal(RequestMappingHandlerAdapter.java:797) ~[spring-webmvc-5.1.7.RELEASE.jar:5.1.7.RELEASE]
at org.springframework.web.servlet.mvc.method.AbstractHandlerMethodAdapter.handle(AbstractHandlerMethodAdapter.java:87) ~[spring-webmvc-5.1.7.RELEASE.jar:5.1.7.RELEASE]
at org.springframework.web.servlet.DispatcherServlet.doDispatch(DispatcherServlet.java:1039) ~[spring-webmvc-5.1.7.RELEASE.jar:5.1.7.RELEASE]
at org.springframework.web.servlet.DispatcherServlet.doService(DispatcherServlet.java:942) ~[spring-webmvc-5.1.7.RELEASE.jar:5.1.7.RELEASE]
at org.springframework.web.servlet.FrameworkServlet.processRequest(FrameworkServlet.java:1005) ~[spring-webmvc-5.1.7.RELEASE.jar:5.1.7.RELEASE]
at org.springframework.web.servlet.FrameworkServlet.doPost(FrameworkServlet.java:908) ~[spring-webmvc-5.1.7.RELEASE.jar:5.1.7.RELEASE]
at javax.servlet.http.HttpServlet.service(HttpServlet.java:660) ~[tomcat-embed-core-9.0.19.jar:9.0.19]
at org.springframework.web.servlet.FrameworkServlet.service(FrameworkServlet.java:882) ~[spring-webmvc-5.1.7.RELEASE.jar:5.1.7.RELEASE]
at javax.servlet.http.HttpServlet.service(HttpServlet.java:741) ~[tomcat-embed-core-9.0.19.jar:9.0.19]
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:231) ~[tomcat-embed-core-9.0.19.jar:9.0.19]
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:166) ~[tomcat-embed-core-9.0.19.jar:9.0.19]
at org.apache.tomcat.websocket.server.WsFilter.doFilter(WsFilter.java:53) ~[tomcat-embed-websocket-9.0.19.jar:9.0.19]
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:193) ~[tomcat-embed-core-9.0.19.jar:9.0.19]
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:166) ~[tomcat-embed-core-9.0.19.jar:9.0.19]
at org.springframework.web.filter.RequestContextFilter.doFilterInternal(RequestContextFilter.java:99) ~[spring-web-5.1.7.RELEASE.jar:5.1.7.RELEASE]
at org.springframework.web.filter.OncePerRequestFilter.doFilter(OncePerRequestFilter.java:107) ~[spring-web-5.1.7.RELEASE.jar:5.1.7.RELEASE]
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:193) ~[tomcat-embed-core-9.0.19.jar:9.0.19]
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:166) ~[tomcat-embed-core-9.0.19.jar:9.0.19]
at org.springframework.web.filter.FormContentFilter.doFilterInternal(FormContentFilter.java:92) ~[spring-web-5.1.7.RELEASE.jar:5.1.7.RELEASE]
at org.springframework.web.filter.OncePerRequestFilter.doFilter(OncePerRequestFilter.java:107) ~[spring-web-5.1.7.RELEASE.jar:5.1.7.RELEASE]
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:193) ~[tomcat-embed-core-9.0.19.jar:9.0.19]
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:166) ~[tomcat-embed-core-9.0.19.jar:9.0.19]
at org.springframework.web.filter.HiddenHttpMethodFilter.doFilterInternal(HiddenHttpMethodFilter.java:93) ~[spring-web-5.1.7.RELEASE.jar:5.1.7.RELEASE]
at org.springframework.web.filter.OncePerRequestFilter.doFilter(OncePerRequestFilter.java:107) ~[spring-web-5.1.7.RELEASE.jar:5.1.7.RELEASE]
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:193) ~[tomcat-embed-core-9.0.19.jar:9.0.19]
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:166) ~[tomcat-embed-core-9.0.19.jar:9.0.19]
at org.springframework.web.filter.CharacterEncodingFilter.doFilterInternal(CharacterEncodingFilter.java:200) ~[spring-web-5.1.7.RELEASE.jar:5.1.7.RELEASE]
at org.springframework.web.filter.OncePerRequestFilter.doFilter(OncePerRequestFilter.java:107) ~[spring-web-5.1.7.RELEASE.jar:5.1.7.RELEASE]
at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:193) ~[tomcat-embed-core-9.0.19.jar:9.0.19]
at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:166) ~[tomcat-embed-core-9.0.19.jar:9.0.19]
at org.apache.catalina.core.StandardWrapperValve.invoke(StandardWrapperValve.java:200) ~[tomcat-embed-core-9.0.19.jar:9.0.19]
at org.apache.catalina.core.StandardContextValve.invoke(StandardContextValve.java:96) [tomcat-embed-core-9.0.19.jar:9.0.19]
at org.apache.catalina.authenticator.AuthenticatorBase.invoke(AuthenticatorBase.java:490) [tomcat-embed-core-9.0.19.jar:9.0.19]
at org.apache.catalina.core.StandardHostValve.invoke(StandardHostValve.java:139) [tomcat-embed-core-9.0.19.jar:9.0.19]
at org.apache.catalina.valves.ErrorReportValve.invoke(ErrorReportValve.java:92) [tomcat-embed-core-9.0.19.jar:9.0.19]
at org.apache.catalina.core.StandardEngineValve.invoke(StandardEngineValve.java:74) [tomcat-embed-core-9.0.19.jar:9.0.19]
at org.apache.catalina.connector.CoyoteAdapter.service(CoyoteAdapter.java:343) [tomcat-embed-core-9.0.19.jar:9.0.19]
at org.apache.coyote.http11.Http11Processor.service(Http11Processor.java:408) [tomcat-embed-core-9.0.19.jar:9.0.19]
at org.apache.coyote.AbstractProcessorLight.process(AbstractProcessorLight.java:66) [tomcat-embed-core-9.0.19.jar:9.0.19]
at org.apache.coyote.AbstractProtocol$ConnectionHandler.process(AbstractProtocol.java:836) [tomcat-embed-core-9.0.19.jar:9.0.19]
at org.apache.tomcat.util.net.NioEndpoint$SocketProcessor.doRun(NioEndpoint.java:1747) [tomcat-embed-core-9.0.19.jar:9.0.19]
at org.apache.tomcat.util.net.SocketProcessorBase.run(SocketProcessorBase.java:49) [tomcat-embed-core-9.0.19.jar:9.0.19]
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149) [na:1.8.0_144]
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624) [na:1.8.0_144]
at org.apache.tomcat.util.threads.TaskThread$WrappingRunnable.run(TaskThread.java:61) [tomcat-embed-core-9.0.19.jar:9.0.19]
at java.lang.Thread.run(Thread.java:748) [na:1.8.0_144]
我们查看数据库数据，已经回滚，和上面的数据一致。
到这里一个简单的SpringBoot+Zookeeper+Seata实现Dubbo分布式事务管理案例基本就分析结束。感谢你的学习。
最后想一起交流技术的可以加我wx:
