Github user JoshRosen commented on a diff in the pull request:
https://github.com/apache/spark/pull/8931#discussion_r41534622
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/TungstenAggregationIterator.scala
---
@@ -690,6 +697,9 @@ class TungstenAggregationIterator(
val mapMemory = hashMap.getPeakMemoryUsedBytes
val sorterMemory =
Option(externalSorter).map(_.getPeakMemoryUsedBytes).getOrElse(0L)
val peakMemory = Math.max(mapMemory, sorterMemory)
+ totalPeakMemory += peakMemory
+ maxPeakMemory += peakMemory
+ totalSpilledSize +=
TaskContext.get().taskMetrics().memoryBytesSpilled - spilledSizeBefore
--- End diff --
It's possible for pipelined transformations inside of a stage to be
executed in separate threads if there's a PythonRDD, RRDD, PipedRDD, or Hive
ScriptTransformation transformation in the middle of the chain.
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