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_r285764936
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File path:
core/src/main/scala/org/apache/spark/scheduler/EventLoggingListener.scala
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@@ -267,12 +277,17 @@ private[spark] class EventLoggingListener(
override def onExecutorMetricsUpdate(event:
SparkListenerExecutorMetricsUpdate): Unit = {
if (shouldLogStageExecutorMetrics) {
- // For the active stages, record any new peak values for the memory
metrics for the executor
- event.executorUpdates.foreach { executorUpdates =>
- liveStageExecutorMetrics.values.foreach { peakExecutorMetrics =>
- val peakMetrics = peakExecutorMetrics.getOrElseUpdate(
- event.execId, new ExecutorMetrics())
- peakMetrics.compareAndUpdatePeakValues(executorUpdates)
+ event.executorUpdates.foreach { case (stageKey1, peaks) =>
+ liveStageExecutorMetrics.foreach { case (stageKey2,
metricsPerExecutor) =>
+ // If the update came from the driver, stageKey1 will be the dummy
key (-1, -1),
+ // so record those peaks for all active stages.
+ // Otherwise, record the peaks for the matching stage.
+ val driverStageKey = (-1, -1)
Review comment:
Defined a constant for the driver stage key.
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