hujiahua created SPARK-36575: -------------------------------- Summary: Executor lost may cause spark stage to hang Key: SPARK-36575 URL: https://issues.apache.org/jira/browse/SPARK-36575 Project: Spark Issue Type: Bug Components: Scheduler Affects Versions: 3.1.2 Reporter: hujiahua
When a executor finished a task of some stage, the driver will receive a `StatusUpdate` event to handle it. At the same time the driver found the executor heartbeat timed out, so the dirver also need handle ExecutorLost event simultaneously. There was a race condition issues here, which will make the task never been rescheduled again and the stage hang over. The problem is that `TaskResultGetter.enqueueSuccessfulTask` use asynchronous thread to handle successful task, that mean the synchronized lock of `TaskSchedulerImpl` was released prematurely during midway https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/scheduler/TaskResultGetter.scala#L61. So `TaskSchedulerImpl` could handle executorLost first, then the asynchronous thread will go on to handle successful task. It cause `TaskSetManager.successful` and `TaskSetManager.tasksSuccessful` wrong result, and the task never been queued again. related log when the issue produce: 21/08/05 02:58:14,784 INFO [dispatcher-event-loop-8] TaskSetManager: Starting task 4004.0 in stage 1328625.0 (TID 347212402, 10.109.89.3, executor 366724, partition 4004, ANY, 7994 bytes) 21/08/05 03:00:24,126 ERROR [dispatcher-event-loop-4] TaskSchedulerImpl: Lost executor 366724 on 10.109.89.3: Executor heartbeat timed out after 140830 ms 21/08/05 03:00:24,218 WARN [dispatcher-event-loop-4] TaskSetManager: Lost task 4004.0 in stage 1328625.0 (TID 347212402, 10.109.89.3, executor 366724): ExecutorLostFailure (executor 366724 exited caused by one of the running tasks) Reason: Executor heartbeat timed out after 140830 ms 21/08/05 03:00:24,542 INFO [task-result-getter-2] TaskSetManager: Finished task 4004.0 in stage 1328625.0 (TID 347212402) in 129758 ms on 10.109.89.3 (executor 366724) (3047/5400) -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org