Github user squito commented on a diff in the pull request:
https://github.com/apache/spark/pull/20940#discussion_r180199472
--- 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 --
to be honest I haven't tried this out myself, I only knew this was
possible. The version I was familiar with is whats used by the dropwizard
metrics
https://github.com/dropwizard/metrics/blob/4.1-development/metrics-jvm/src/main/java/com/codahale/metrics/jvm/BufferPoolMetricSet.java
sorry you'll need to experiment with it a bit. (again, not a blocker for
this)
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