Github user mridulm commented on a diff in the pull request:
https://github.com/apache/spark/pull/731#discussion_r12511553
--- 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
+ val numUsable = usableWorkers.length
+ // Number of cores of each executor assigned to each worker
+ val assigned = Array.fill[ListBuffer[Int]](numUsable)(new
ListBuffer[Int])
+ val assignedSum = Array.fill[Int](numUsable)(0)
+ var pos = 0
+ val noEnoughMemoryWorkers = new HashSet[Int]
+ while (maxLeftExecutorsToAssign > 0 && noEnoughMemoryWorkers.size
< numUsable) {
+ if (usableWorkers(pos).coresFree - assignedSum(pos) >= 0) {
--- End diff --
> 0 ?
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