Github user zhonghaihua commented on a diff in the pull request:
https://github.com/apache/spark/pull/12258#discussion_r65997697
--- Diff:
core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala ---
@@ -343,17 +343,31 @@ private[spark] class TaskSchedulerImpl(
}
taskIdToTaskSetManager.get(tid) match {
case Some(taskSet) =>
+ var executorId: String = null
if (TaskState.isFinished(state)) {
taskIdToTaskSetManager.remove(tid)
taskIdToExecutorId.remove(tid).foreach { execId =>
+ executorId = execId
if (executorIdToTaskCount.contains(execId)) {
executorIdToTaskCount(execId) -= 1
}
}
}
if (state == TaskState.FINISHED) {
+ // In some case, executor has already removed by driver for
heartbeats timeout, but
+ // at sometime, before executor killed by cluster, the task
of running on this
+ // executor is finished and return task success state to
driver. However, this kinds
+ // of task should be ignored, because the task on this
executor is already re-queued
+ // by driver. For more details, can check in SPARK-14485.
taskSet.removeRunningTask(tid)
- taskResultGetter.enqueueSuccessfulTask(taskSet, tid,
serializedData)
+ if (executorId != null &&
!executorIdToTaskCount.contains(executorId)) {
+ logInfo(
+ ("Ignoring update with state %s for TID %s because its
executor has already " +
--- End diff --
I see, thanks for your comments. @vanzin
Besides, according to your point of view, I think this log
https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala#L371
should also be changed use interpolation, right ?
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