Github user andrewor14 commented on a diff in the pull request:

    https://github.com/apache/spark/pull/10835#discussion_r50934263
  
    --- Diff: core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala 
---
    @@ -1116,23 +1120,33 @@ class DAGScheduler(
        */
       private[scheduler] def handleTaskCompletion(event: CompletionEvent) {
         val task = event.task
    +    val taskId = task.partitionId
         val stageId = task.stageId
         val taskType = Utils.getFormattedClassName(task)
     
         outputCommitCoordinator.taskCompleted(
           stageId,
    -      task.partitionId,
    +      taskId,
           event.taskInfo.attemptNumber, // this is a task attempt number
           event.reason)
     
    -    // The success case is dealt with separately below, since we need to 
compute accumulator
    -    // updates before posting.
    -    if (event.reason != Success) {
    -      val attemptId = task.stageAttemptId
    -      listenerBus.post(SparkListenerTaskEnd(stageId, attemptId, taskType, 
event.reason,
    -        event.taskInfo, event.taskMetrics))
    +    // Reconstruct task metrics. Note: this may be null if the task has 
failed.
    +    val taskMetrics: TaskMetrics =
    +    if (event.accumUpdates.nonEmpty) {
    +      try {
    +        TaskMetrics.fromAccumulatorUpdates(event.accumUpdates)
    +      } catch {
    +        case NonFatal(e) =>
    +          logError(s"Error when attempting to reconstruct metrics for task 
$taskId", e)
    +          null
    +      }
    +    } else {
    +      null
         }
     
    +    listenerBus.post(SparkListenerTaskEnd(
    --- End diff --
    
    (update: as I commented elsewhere I reverted this part of the change 
because it was failing tests in unexpected ways)


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