Github user pwendell commented on a diff in the pull request:
https://github.com/apache/spark/pull/3204#discussion_r20325675
--- Diff:
core/src/main/scala/org/apache/spark/ExecutorAllocationManager.scala ---
@@ -217,14 +223,24 @@ private[spark] class ExecutorAllocationManager(sc:
SparkContext) extends Logging
numExecutorsToAdd = 1
return 0
}
+ val maxExecutorsPending =
maxPendingExecutors(sc.taskScheduler.numPendingTasks)
--- End diff --
Hey @sryza it's possible to estimate the size of the queue pretty well from
the data in `ExecutorAllocationListener`, we would just ignore the effect of
speculated and re-submitted tasks (and this I think is a small enough margin
that it's not a big deal). I think you can just add a function called
`getPendingTasks` to ExecutorAllocationListener and it would go through each
stage and subtract the number of distinct indices started from the number of
tasks in the stage. This would retain the isolation of these two components and
only sacrifice a small amount of accuracy.
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