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https://issues.apache.org/jira/browse/SPARK-22593?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16268370#comment-16268370
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Hyukjin Kwon commented on SPARK-22593:
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Do you maybe have some measure for the elapsed time? In a quick look, it looks
it's trivial and a non-critical path. To be honest, I won't bother it if it's
true.
Is it a question or an issue?
> submitMissingTask in DagScheduler will call partitions function many times
> whch may be time consuming
> -----------------------------------------------------------------------------------------------------
>
> Key: SPARK-22593
> URL: https://issues.apache.org/jira/browse/SPARK-22593
> Project: Spark
> Issue Type: Question
> Components: Spark Core
> Affects Versions: 2.2.0
> Reporter: tomzhu
> Priority: Minor
>
> when dagScheduler call submitMissing task, will create tasks and calling
> stage.rdd.partitions, it will can many times which may be time-consuming, the
> code is:
> {quote}
> val tasks: Seq[Task[_]] = try {
> val serializedTaskMetrics =
> closureSerializer.serialize(stage.latestInfo.taskMetrics).array()
> stage match {
> case stage: ShuffleMapStage =>
> stage.pendingPartitions.clear()
> partitionsToCompute.map { id =>
> val locs = taskIdToLocations(id)
> val part = stage.rdd.partitions(id)
> stage.pendingPartitions += id
> new ShuffleMapTask(stage.id, stage.latestInfo.attemptId,
> taskBinary, part, locs, properties, serializedTaskMetrics,
> Option(jobId),
> Option(sc.applicationId), sc.applicationAttemptId)
> }
> case stage: ResultStage =>
> partitionsToCompute.map { id =>
> val p: Int = stage.partitions(id)
> val part = stage.rdd.partitions(p) //here is a little time
> consuming.
> val locs = taskIdToLocations(id)
> new ResultTask(stage.id, stage.latestInfo.attemptId,
> taskBinary, part, locs, id, properties, serializedTaskMetrics,
> Option(jobId), Option(sc.applicationId),
> sc.applicationAttemptId)
> }
> }
> }
> {quote}
> for example, for a parallelCollectionRdd with 3 slices or partitions, to
> create task, the code will call stage.rdd.partitions three times, since
> stage.rdd.partitions will call getPartitions, so getPartions will call three
> times, it is a little time-cousuming. the stage.rdd.partitions code :
> {quote}
> final def partitions: Array[Partition] = {
> checkpointRDD.map(_.partitions).getOrElse {
> if (partitions_ == null) {
> partitions_ = getPartitions
> partitions_.zipWithIndex.foreach { case (partition, index) =>
> require(partition.index == index,
> s"partitions($index).partition == ${partition.index}, but it
> should equal $index")
> }
> }
> partitions_
> }
> }
> {quote}
> it would be better to avoid this.
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