wypoon commented on a change in pull request #23767: [SPARK-26329][CORE] Faster
polling of executor memory metrics.
URL: https://github.com/apache/spark/pull/23767#discussion_r315401252
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File path: core/src/main/scala/org/apache/spark/executor/Executor.scala
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@@ -574,7 +600,8 @@ private[spark] class Executor(
logInfo(s"Executor interrupted and killed $taskName (TID $taskId),
reason: $killReason")
val (accums, accUpdates) =
collectAccumulatorsAndResetStatusOnFailure(taskStartTimeNs)
- val serializedTK = ser.serialize(TaskKilled(killReason, accUpdates,
accums))
+ val metricPeaks =
WrappedArray.make(metricsPoller.getTaskMetricPeaks(taskId))
+ val serializedTK = ser.serialize(TaskKilled(killReason, accUpdates,
accums, metricPeaks))
execBackend.statusUpdate(taskId, TaskState.KILLED, serializedTK)
case t: Throwable if hasFetchFailure && !Utils.isFatalError(t) =>
Review comment:
There is no special reason. I saw that in some cases, accumulators are
collected and sent in the task result, and in those cases I send the task
metric peaks as well; in the other cases, accumulators are not collected so I
don't send the task metric peaks either.
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