Github user edwinalu commented on a diff in the pull request:
https://github.com/apache/spark/pull/20940#discussion_r180180795
--- Diff: core/src/main/scala/org/apache/spark/executor/Executor.scala ---
@@ -772,6 +772,12 @@ private[spark] class Executor(
val accumUpdates = new ArrayBuffer[(Long, Seq[AccumulatorV2[_, _]])]()
val curGCTime = computeTotalGcTime()
+ // get executor level memory metrics
+ val executorUpdates = new ExecutorMetrics(System.currentTimeMillis(),
+ ManagementFactory.getMemoryMXBean.getHeapMemoryUsage().getUsed(),
--- End diff --
We could add
ManagementFactory.getMemoryMXBean.getNonHeapMemoryUsage().getUsed(), for total
non-heap memory used by the JVM.
For direct and memory mapped usage, would collecting these be similar to
https://gist.github.com/t3rmin4t0r/1a753ccdcfa8d111f07c ?
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