Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/18301#discussion_r124451356
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/joins/HashJoin.scala ---
@@ -214,6 +215,7 @@ trait HashJoin {
val resultProj = createResultProjection
joinedIter.map { r =>
numOutputRows += 1
+ avgHashProbe.set(hashed.getAverageProbesPerLookup())
--- End diff --
Because in HashAggregate, we process all rows in aggregation, then we can
update the probe. But in join, it processes the rows as an iterator, we have no
a point to update the probe in the end of join like aggregation case.
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