JkSelf commented on a change in pull request #23269: [SPARK-26316] Revert hash 
join metrics in spark 21052 that causes performance degradation 
URL: https://github.com/apache/spark/pull/23269#discussion_r240481284
 
 

 ##########
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/aggregate/HashAggregateExec.scala
 ##########
 @@ -62,8 +62,7 @@ case class HashAggregateExec(
     "numOutputRows" -> SQLMetrics.createMetric(sparkContext, "number of output 
rows"),
     "peakMemory" -> SQLMetrics.createSizeMetric(sparkContext, "peak memory"),
     "spillSize" -> SQLMetrics.createSizeMetric(sparkContext, "spill size"),
-    "aggTime" -> SQLMetrics.createTimingMetric(sparkContext, "aggregate time"),
-    "avgHashProbe" -> SQLMetrics.createAverageMetric(sparkContext, "avg hash 
probe"))
+    "aggTime" -> SQLMetrics.createTimingMetric(sparkContext, "aggregate time"))
 
 Review comment:
   Yes, updated. Thanks.

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