Github user mridulm commented on a diff in the pull request: https://github.com/apache/spark/pull/731#discussion_r12511580 --- Diff: core/src/main/scala/org/apache/spark/deploy/master/Master.scala --- @@ -532,6 +516,99 @@ private[spark] class Master( } } + private def startMultiExecutorsPerWorker() { + // allow user to run multiple executors in the same worker + // (within the same worker JVM process) + if (spreadOutApps) { + for (app <- waitingApps if app.coresLeft > 0) { + val memoryPerExecutor = app.desc.memoryPerExecutor + var usableWorkers = workers.toArray.filter(_.state == WorkerState.ALIVE). + filter(worker => worker.coresFree > 0 && worker.memoryFree >= memoryPerExecutor). + sortBy(_.memoryFree / memoryPerExecutor).reverse + val maxCoreNumPerExecutor = app.desc.maxCorePerExecutor.get + // get the maximum total number of executors we can assign + var maxLeftExecutorsToAssign = usableWorkers.map(_.memoryFree / memoryPerExecutor).sum + var maxCoresLeft = maxLeftExecutorsToAssign * maxCoreNumPerExecutor --- End diff -- I am not sure what maxCoresLeft is supposed to signify. maxLeftExecutorsToAssign seems to be assigned to number of memory slots available Which seems orthogonal to maxCoreNumPerExecutor
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