Github user Ngone51 commented on a diff in the pull request:
https://github.com/apache/spark/pull/21221#discussion_r187248156
--- Diff:
core/src/main/scala/org/apache/spark/scheduler/EventLoggingListener.scala ---
@@ -93,6 +94,10 @@ private[spark] class EventLoggingListener(
// Visible for tests only.
private[scheduler] val logPath = getLogPath(logBaseDir, appId,
appAttemptId, compressionCodecName)
+ // map of live stages, to peak executor metrics for the stage
+ private val liveStageExecutorMetrics = mutable.HashMap[(Int, Int),
--- End diff --
Why we should track executor's memory metrics for each stage?
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
