Github user andrewor14 commented on a diff in the pull request: https://github.com/apache/spark/pull/4168#discussion_r24368946 --- Diff: core/src/main/scala/org/apache/spark/ExecutorAllocationManager.scala --- @@ -224,54 +241,75 @@ private[spark] class ExecutorAllocationManager( } /** + * Check to see whether our existing allocation and the requests we've made previously exceed our + * current needs. If so, let the cluster manager know so that it can cancel pending requests that + * are unneeded. + * + * If not, and the add time has expired, see if we can request new executors and refresh the add + * time. + * + * @return the delta in the target number of executors. + */ + private def adjustRequestedExecutors(now: Long): Int = synchronized { + val currentTarget = targetNumExecutors + val maxNeeded = maxNumExecutorsNeeded + + if (maxNeeded < currentTarget) { + // 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. + client.requestTotalExecutors(maxNeeded) + val delta = math.min(maxNeeded - currentTarget, 0) + numExecutorsPending += delta + numExecutorsToAdd = 1 + delta + } else if (addTime != NOT_SET && now >= addTime) { + val delta = addExecutors(maxNeeded) + logDebug(s"Starting timer to add more executors (to " + + s"expire in $sustainedSchedulerBacklogTimeout seconds)") + addTime += sustainedSchedulerBacklogTimeout * 1000 + delta + } else { + 0 + } + } --- End diff -- ok, I suppose that is clearer... let's just use that for now and we can revisit this again later if we want
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