当前位置:网站首页>Seata分布式事务失效,不生效(事务不回滚)的常见场景
Seata分布式事务失效,不生效(事务不回滚)的常见场景
2022-07-03 09:25:00 【暮晓引流软件】
一、微服务没有正常获取XID
检查方法:
在每个微服务中调用方法 RootContext.getXID() 检查XID
例如,服务A调用了服务B和服务C
那么可以分别在服务A、服务B、服务C的事务方法中添加
===============服务A
@Service
public class ServiceAImpl implements IServiceA
{
private static final Logger log = LoggerFactory.getLogger(ServiceAImpl.class);
@Autowired
private IServiceB serviceB;
@Autowired
private IServiceC serviceC;
@Override
@GlobalTransactional
@Transactional
public Boolean doA() {
log.info("Seata全局事务id=================>{}",RootContext.getXID());
//......
}
}
===============服务B
@Service
public class ServiceBImpl implements IServiceB
{
private static final Logger log = LoggerFactory.getLogger(ServiceBImpl.class);
@Override
@Transactional(propagation = Propagation.REQUIRES_NEW)
public Boolean doB() {
log.info("Seata全局事务id=================>{}",RootContext.getXID());
//......
}
}
===============服务C
@Service
public class ServiceCImpl implements IServiceC
{
private static final Logger log = LoggerFactory.getLogger(ServiceCImpl.class);
@Override
@Transactional(propagation = Propagation.REQUIRES_NEW)
public Boolean doC() {
log.info("Seata全局事务id=================>{}",RootContext.getXID());
//......
}
}
(1)查看XID是否为null
(2)每个服务中的XID不一致
如果出现以上两种其中一种,基本可以确定是因为XID导致事务失效
解决办法:
(1)XID正常情况下是通过请求头上的参数传递给下游服务的,可以通过seta包的getModifyRequest方法下的headers.put打断点进行分析
(2)在调用方法中直接传参给下游服务
===============服务A
@Service
public class ServiceAImpl implements IServiceA
{
private static final Logger log = LoggerFactory.getLogger(ServiceAImpl.class);
@Autowired
private IServiceB serviceB;
@Autowired
private IServiceC serviceC;
@Override
@GlobalTransactional
@Transactional
public Boolean doA() {
String XID = RootContext.getXID();
serviceB.doB(XID);
serviceC.doC(XID);
//......
}
}
===============服务B
@Service
public class ServiceBImpl implements IServiceB
{
private static final Logger log = LoggerFactory.getLogger(ServiceBImpl.class);
@Override
@Transactional(propagation = Propagation.REQUIRES_NEW)
public Boolean doB(XID) {
RootContext.bind(XID);
//......
}
}
===============服务C
@Service
public class ServiceCImpl implements IServiceC
{
private static final Logger log = LoggerFactory.getLogger(ServiceCImpl.class);
@Override
@Transactional(propagation = Propagation.REQUIRES_NEW)
public Boolean doC(XID) {
RootContext.bind(XID);
//......
}
}
二、undo_log表有脏数据
当Seata没有正常结束时,每个服务对应数据库中的undo_log表和seata持久化数据库的brach_table、global_table、lock_table、undo_log表都有可能有脏数据没有正确删除,从而导致服务一直回滚,却不成功
**解决办法:**清除undo_log表以及seata持久化数据库的brach_table、global_table、lock_table、undo_log表中的脏数据
三、Fegin调用使用了Fallback降级或抛出的异常被全局处理
这种情况下属于seata服务发现不了下游服务抛出的异常,导致事务不会触发回滚
解决办法:
(1)通过 GlobalTransactionContext.reload(RootContext.getXID()).rollback() 进行手动回滚
===============服务A
@Service
public class ServiceAImpl implements IServiceA
{
private static final Logger log = LoggerFactory.getLogger(ServiceAImpl.class);
@Autowired
private IServiceB serviceB;
@Autowired
private IServiceC serviceC;
@Override
@GlobalTransactional
@Transactional
public Boolean doA() {
Integer bStatus = serviceB.doB();
if(bStatus == 0){//在Mybatis中,返回值为0证明插入失败
//手动回滚
GlobalTransactionContext.reload(RootContext.getXID()).rollback();
return false;
}
Integer cStatus = serviceC.doC();
if(cStatus == 0){//在Mybatis中,返回值为0证明插入失败
//手动回滚
GlobalTransactionContext.reload(RootContext.getXID()).rollback();
return false;
}
//......
}
}
===============服务B
@Service
public class ServiceBImpl implements IServiceB
{
private static final Logger log = LoggerFactory.getLogger(ServiceBImpl.class);
@Override
@Transactional(propagation = Propagation.REQUIRES_NEW)
public Boolean doB() {
//......
Integer insertStatus = serviceBDAO.insert();
return insertStatus;
}
}
===============服务C
@Service
public class ServiceCImpl implements IServiceC
{
private static final Logger log = LoggerFactory.getLogger(ServiceCImpl.class);
@Override
@Transactional(propagation = Propagation.REQUIRES_NEW)
public Boolean doC() {
//......
Integer insertStatus = serviceCDAO.insert();
return insertStatus;
}
}
(2)通过切面类
详见官方文档
边栏推荐
- LeetCode - 703 数据流中的第 K 大元素(设计 - 优先队列)
- Leetcode-106:根据中后序遍历序列构造二叉树
- The underlying principle of vector
- Data classification: support vector machine
- [LZY learning notes dive into deep learning] 3.1-3.3 principle and implementation of linear regression
- Label Semantic Aware Pre-training for Few-shot Text Classification
- [graduation season] the picture is rich, and frugality is easy; Never forget chaos and danger in peace.
- 实战篇:Oracle 数据库标准版(SE)转换为企业版(EE)
- Policy gradient Method of Deep Reinforcement learning (Part One)
- Data preprocessing - Data Mining 1
猜你喜欢

2.1 Dynamic programming and case study: Jack‘s car rental

CV learning notes - feature extraction

Leetcode - the k-th element in 703 data flow (design priority queue)

Pytorch ADDA code learning notes

Anaconda安装包 报错packagesNotFoundError: The following packages are not available from current channels:

LeetCode - 933 最近的请求次数

Timo background management system

LeetCode - 1670 設計前中後隊列(設計 - 兩個雙端隊列)

CV learning notes - scale invariant feature transformation (SIFT)

Pycharm cannot import custom package
随机推荐
Leetcode - the k-th element in 703 data flow (design priority queue)
Training effects of different data sets (yolov5)
Leetcode - 706 design hash mapping (Design)*
Label Semantic Aware Pre-training for Few-shot Text Classification
20220610其他:任务调度器
Anaconda安装包 报错packagesNotFoundError: The following packages are not available from current channels:
Secure in mysql8.0 under Windows_ file_ Priv is null solution
Powshell's set location: unable to find a solution to the problem of accepting actual parameters
Policy gradient Method of Deep Reinforcement learning (Part One)
One click generate traffic password (exaggerated advertisement title)
LeetCode - 703 数据流中的第 K 大元素(设计 - 优先队列)
[LZY learning notes dive into deep learning] 3.1-3.3 principle and implementation of linear regression
20220604数学:x的平方根
重写波士顿房价预测任务(使用飞桨paddlepaddle)
Replace the files under the folder with sed
openCV+dlib實現給蒙娜麗莎換臉
. DLL and Differences between lib files
LeetCode - 705 设计哈希集合(设计)
Implementation of "quick start electronic" window dragging
Advantageous distinctive domain adaptation reading notes (detailed)