背景介绍
1.最近有一个大数据量插入的操作入库的业务场景,需要先做一些其他修改操作,然后在执行插入操作,由于插入数据可能会很多,用到多线程去拆分数据并行处理来提高响应时间,如果有一个线程执行失败,则全部回滚.
2.在spring中可以使用@Transactional注解去控制事务,使出现异常时会进行回滚,在多线程中,这个注解则不会生效,如果主线程需要先执行一些修改数据库的操作,当子线程在进行处理出现异常时,主线程修改的数据则不会回滚,导致数据错误。
3.下面用一个简单示例演示多线程事务.
公用的类和方法
/**
* 平均拆分list方法.
* @param source
* @param n
* @param
* @return
*/
public static List> averageAssign(List source,int n){
List> result=new ArrayList>();
int remaider=source.size()%n;
int number=source.size()/n;
int offset=0;//偏移量
for(int i=0;i value=null;
if(remaider>0){
value=source.subList(i*number+offset, (i+1)*number+offset+1);
remaider--;
offset++;
}else{
value=source.subList(i*number+offset, (i+1)*number+offset);
}
result.add(value);
}
return result;
}
/** 线程池配置
* @version V1.0
* @since 2021-06-08 15:39
*/
public class ExecutorConfig {
private static int maxPoolSize = Runtime.getRuntime().availableProcessors();
private volatile static ExecutorService executorService;
public static ExecutorService getThreadPool() {
if (executorService == null){
synchronized (ExecutorConfig.class){
if (executorService == null){
executorService = newThreadPool();
}
}
}
return executorService;
}
private static ExecutorService newThreadPool(){
int queueSize = 500;
int corePool = Math.min(5, maxPoolSize);
return new ThreadPoolExecutor(corePool, maxPoolSize, 10000L, TimeUnit.MILLISECONDS,
new LinkedBlockingQueue<>(queueSize),new ThreadPoolExecutor.AbortPolicy());
}
private ExecutorConfig(){}
}
/** 获取sqlSession
* @author 86182
* @version V1.0
* @since 2021-06-03 15:08
*/
@Component
public class SqlContext {
@Resource
private SqlSessionTemplate sqlSessionTemplate;
public SqlSession getSqlSession(){
SqlSessionFactory sqlSessionFactory = sqlSessionTemplate.getSqlSessionFactory();
return sqlSessionFactory.openSession();
}
}
示例事务不成功操作
/**
* 测试多线程事务.
* @param employeeDOList
*/
@Override
@Transactional
public void saveThread(List employeeDOList) {
try {
//先做删除操作,如果子线程出现异常,此操作不会回滚
this.getBaseMapper().delete(null);
//获取线程池
ExecutorService service = ExecutorConfig.getThreadPool();
//拆分数据,拆分5份
List> lists=averageAssign(employeeDOList, 5);
//执行的线程
Thread []threadArray = new Thread[lists.size()];
//监控子线程执行完毕,再执行主线程,要不然会导致主线程关闭,子线程也会随着关闭
CountDownLatch countDownLatch = new CountDownLatch(lists.size());
AtomicBoolean atomicBoolean = new AtomicBoolean(true);
for (int i =0;i list = lists.get(i);
threadArray[i] = new Thread(() -> {
try {
//最后一个线程抛出异常
if (!atomicBoolean.get()){
throw new ServiceException("001","出现异常");
}
//批量添加,mybatisPlus中自带的batch方法
this.saveBatch(list);
}finally {
countDownLatch.countDown();
}
});
}
for (int i = 0; i 数据库中存在一条数据：
图片
//测试用例
@RunWith(SpringRunner.class)
@SpringBootTest(classes = { ThreadTest01.class, MainApplication.class})
public class ThreadTest01 {
@Resource
private EmployeeBO employeeBO;
/**
* 测试多线程事务.
* @throws InterruptedException
*/
@Test
public void MoreThreadTest2() throws InterruptedException {
int size = 10;
List employeeDOList = new ArrayList<>(size);
for (int i = 0; i 测试结果：
图片
图片
可以发现子线程组执行时,有一个线程执行失败,其他线程也会抛出异常,但是主线程中执行的删除操作,没有回滚,Transactional注解没有生效.
使用sqlSession控制手动提交事务
@Resource
SqlContext sqlContext;
/**
* 测试多线程事务.
* @param employeeDOList
*/
@Override
public void saveThread(List employeeDOList) throws SQLException {
// 获取数据库连接,获取会话(内部自有事务)
SqlSession sqlSession = sqlContext.getSqlSession();
Connection connection = sqlSession.getConnection();
try {
// 设置手动提交
connection.setAutoCommit(false);
//获取mapper
EmployeeMapper employeeMapper = sqlSession.getMapper(EmployeeMapper.class);
//先做删除操作
employeeMapper.delete(null);
//获取执行器
ExecutorService service = ExecutorConfig.getThreadPool();
List> callableList = new ArrayList<>();
//拆分list
List> lists=averageAssign(employeeDOList, 5);
AtomicBoolean atomicBoolean = new AtomicBoolean(true);
for (int i =0;i list = lists.get(i);
//使用返回结果的callable去执行,
Callable callable = () -> {
//让最后一个线程抛出异常
if (!atomicBoolean.get()){
throw new ServiceException("001","出现异常");
}
return employeeMapper.saveBatch(list);
};
callableList.add(callable);
}
//执行子线程
List> futures = service.invokeAll(callableList);
for (Future future:futures) {
//如果有一个执行不成功,则全部回滚
if (future.get()<=0){
connection.rollback();
return;
}
}
connection.commit();
System.out.println("添加完毕");
}catch (Exception e){
connection.rollback();
log.info("error",e);
throw new ServiceException("002","出现异常");
}finally {
connection.close();
}
}
// sql
INSERT INTO
employee (employee_id,age,employee_name,birth_date,gender,id_number,creat_time,update_time,status)
values
(
#{item.employeeId},
#{item.age},
#{item.employeeName},
#{item.birthDate},
#{item.gender},
#{item.idNumber},
#{item.creatTime},
#{item.updateTime},
#{item.status}
)
数据库中一条数据：
图片
测试结果：抛出异常,
图片
删除操作的数据回滚了,数据库中的数据依旧存在,说明事务成功了.
图片
成功操作示例：
@Resource
SqlContext sqlContext;
/**
* 测试多线程事务.
* @param employeeDOList
*/
@Override
public void saveThread(List employeeDOList) throws SQLException {
// 获取数据库连接,获取会话(内部自有事务)
SqlSession sqlSession = sqlContext.getSqlSession();
Connection connection = sqlSession.getConnection();
try {
// 设置手动提交
connection.setAutoCommit(false);
EmployeeMapper employeeMapper = sqlSession.getMapper(EmployeeMapper.class);
//先做删除操作
employeeMapper.delete(null);
ExecutorService service = ExecutorConfig.getThreadPool();
List> callableList = new ArrayList<>();
List> lists=averageAssign(employeeDOList, 5);
for (int i =0;i list = lists.get(i);
Callable callable = () -> employeeMapper.saveBatch(list);
callableList.add(callable);
}
//执行子线程
List> futures = service.invokeAll(callableList);
for (Future future:futures) {
if (future.get()<=0){
connection.rollback();
return;
}
}
connection.commit();
System.out.println("添加完毕");
}catch (Exception e){
connection.rollback();
log.info("error",e);
throw new ServiceException("002","出现异常");
// throw new ServiceException(ExceptionCodeEnum.EMPLOYEE_SAVE_OR_UPDATE_ERROR);
}
}
测试结果：
图片
数据库中数据：
删除的删除了,添加的添加成功了,测试成功.
图片