思路:
每个线程手动提交事务。
通过栅栏,等所有子线程都执行到栅栏处等待,最后一个子线程到到时候,通过redis里面存储的成功数量是否和总数量一致,是则提交所有事务,否则回滚所有事务。
@Service
public class TestService {
@Autowired
private DataSourceTransactionManager txManager;
public void test() throws ExecutionException, InterruptedException {
ExecutorService pool = Executors.newFixedThreadPool(4);
List<TaskDataBase> list = new ArrayList<>();
List<TaskDataBase> list2 = new ArrayList<>();
TaskDataBase taskDataBase = new TaskDataBase();
taskDataBase.setId("xxxx");
taskDataBase.setTaskId("xxxx");
taskDataBase.setYear("xxxx");
taskDataBase.setMonth("xxxx");
taskDataBase.setDate("xxxx");
taskDataBase.setHour("xxxx");
taskDataBase.setDateHour("xxxx");
TaskDataBase taskDataBase2 = new TaskDataBase();
taskDataBase2.setId("xx");
taskDataBase2.setTaskId("xx");
taskDataBase2.setYear("xx");
taskDataBase2.setMonth("xx");
taskDataBase2.setDate("xx");
taskDataBase2.setHour("xx");
// taskDataBase2.setDateHour("1");非空数据库会报错
list.add(taskDataBase);
list2.add(taskDataBase2);
List<Future<Integer>> futures = new ArrayList<>();
CyclicBarrier cyclicBarrier = new CyclicBarrier(2);
String uuid = UUIDUtil.getUUID();
for (int i = 0; i < 2; i++) {
List<TaskDataBase> lst = i == 0 ? list : list2;
futures.add(pool.submit(new InsertTaskDataCallable(uuid,2, txManager, lst, cyclicBarrier)));
}
boolean isAllSuccess = true;
for (Future<Integer> future : futures) {
if (future.get() == 0) {
isAllSuccess = false;
}
}
RedisUtil.del(uuid);
System.out.println("最终结果:" + isAllSuccess);
if (!isAllSuccess) throw new RuntimeException();
pool.shutdown();
}
}
/**
* @Desc:
* @Author: heling
* @Date: 2020/7/16 13:41
*/
@Slf4j
public class InsertTaskDataCallable implements Callable<Integer> {
private List<TaskDataBase> taskDataBases;
private DataSourceTransactionManager txManager;
private CyclicBarrier cyclicBarrier;
private String globalId;
private int bathes;
public InsertTaskDataCallable(String globalId, int batches, DataSourceTransactionManager txManager, List<TaskDataBase> taskDataBases, CyclicBarrier cyclicBarrier) {
this.taskDataBases = taskDataBases;
this.txManager = txManager;
this.cyclicBarrier = cyclicBarrier;
this.globalId = globalId;
this.bathes = batches;
}
@Override
public Integer call() throws Exception {
TaskDataMapper taskDataMapper = CxsSpringContextUtil.getBean(TaskDataMapper.class);
DefaultTransactionAttribute def = new DefaultTransactionAttribute();
def.setPropagationBehavior(TransactionDefinition.PROPAGATION_REQUIRED);
TransactionStatus status = txManager.getTransaction(def);
int i = 0;
try {
i = taskDataMapper.batchSave(taskDataBases);
} catch (Exception e) {
log.error("批量插入taskData异常", e);
i = 0;
}
if (i > 0) {
RedisUtil.incr(globalId);
}
cyclicBarrier.await();
if (String.valueOf(bathes).equals(RedisUtil.getStr(globalId))) {
txManager.commit(status);
} else {
txManager.rollback(status);
}
return i;
}
}
上面是存在问题的
就是当批数大于线程池数量时候,会造成死锁,因为比如线程池有四个线程,批数为5,那么前四个批次会阻塞在await方法,那么最后一批就无法获取到线程,从而互相等待造成死锁
改进:
版权声明:本文为weixin_39035120原创文章,遵循 CC 4.0 BY-SA 版权协议,转载请附上原文出处链接和本声明。