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From sryza <>
Subject [GitHub] spark pull request: [SPARK-7699][Core] Lazy start the scheduler fo...
Date Thu, 28 May 2015 20:39:31 GMT
Github user sryza commented on a diff in the pull request:
    --- Diff: core/src/main/scala/org/apache/spark/ExecutorAllocationManager.scala ---
    @@ -262,15 +267,22 @@ private[spark] class ExecutorAllocationManager(
         val maxNeeded = maxNumExecutorsNeeded
         if (maxNeeded < numExecutorsTarget) {
    -      // The target number exceeds the number we actually need, so stop adding new
    -      // executors and inform the cluster manager to cancel the extra pending requests
    -      val oldNumExecutorsTarget = numExecutorsTarget
    -      numExecutorsTarget = math.max(maxNeeded, minNumExecutors)
    -      client.requestTotalExecutors(numExecutorsTarget)
    -      numExecutorsToAdd = 1
    -      logInfo(s"Lowering target number of executors to $numExecutorsTarget because "
    -        s"not all requests are actually needed (previously $oldNumExecutorsTarget)")
    -      numExecutorsTarget - oldNumExecutorsTarget
    +      if (!numTargetExecutorAdjustable.get) {
    +        // Keep the initial number of target executor to not ramp down until the first
job is
    --- End diff --
    That's not that approach that I thought we settled on.  Is there a basis for that which
I'm missing?

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