ajithme commented on a change in pull request #24100: [SPARK-27164]
RDD.countApprox on empty RDDs schedules jobs which never complete
URL: https://github.com/apache/spark/pull/24100#discussion_r266188557
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File path: core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
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@@ -1239,6 +1239,9 @@ private[spark] class DAGScheduler(
markMapStageJobsAsFinished(stage)
case stage : ResultStage =>
logDebug(s"Stage ${stage} is actually done; (partitions:
${stage.numPartitions})")
Review comment:
@cloud-fan, ``RDD#count`` scenario is handled via ``submitJob`` as initially
we have a ``partitions.size==0`` check, just like @squito mentioned
@squito so do you suggest i provide a similar check in
``runApproximateJob``.?? shall i change this PR.?
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