Github user rdblue commented on a diff in the pull request:
https://github.com/apache/spark/pull/17540#discussion_r112606599
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/ui/SQLListener.scala ---
@@ -353,11 +353,19 @@ class SQLListener(conf: SparkConf) extends
SparkListener with Logging {
}
val driverUpdates = executionUIData.driverAccumUpdates.toSeq
- val totalUpdates = (accumulatorUpdates ++ driverUpdates).filter {
- case (id, _) => executionUIData.accumulatorMetrics.contains(id)
+ // filter out updates that aren't Longs
+ val totalUpdates = (accumulatorUpdates ++ driverUpdates).filter {
update =>
+ update._2.isInstanceOf[Long]
}
+ // Hack alert!
+ // metrics may be missing from the executionUIData because metrics
are taken from the
+ // SparkPlan passed to withNewExecutionId, but some nodes in that
plan link in LogicalPlan
+ // nodes that don't expose the actual SparkPlan or metrics because
the SparkPlan is built
--- End diff --
I think it's better to have the metrics than to discard them. Why discard
metrics if we know that they can be safely summarized and used?
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