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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