Github user squito commented on a diff in the pull request:
https://github.com/apache/spark/pull/17533#discussion_r111271432
--- Diff: core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
---
@@ -1080,6 +1122,25 @@ class DAGScheduler(
}
}
+ // Visible for testing.
+ private[spark] def getTaskInputSizesFromShuffledRDD(tasks:
Seq[Task[_]]): Map[Task[_], Long] = {
+ val taskInputSizeFromShuffledRDD = HashMap[Task[_], Long]()
+ tasks.foreach {
+ case task =>
+ val size =
+ parentSplitsInShuffledRDD(task.stageId, task.partitionId).map {
+ case parentSplits =>
+ parentSplits.map {
+ case (shuffleId, splits) =>
+
splits.map(mapOutputTracker.getMapSizesByExecutorId(shuffleId, _)
+ .flatMap(_._2.map(_._2)).sum).sum
--- End diff --
I think you can use `mapOutputTracker.getStatistics` here.
It also occurs to me that in general this could use the *total* input size
for the task, but I guess spark isn't looking at that in general yet (though it
probably could, from hadoop's `InputSplit.getLength()`). Just something to
keep in mind.
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