Github user andrewor14 commented on a diff in the pull request:
https://github.com/apache/spark/pull/7274#discussion_r34854881
--- Diff: core/src/main/scala/org/apache/spark/deploy/master/Master.scala
---
@@ -544,58 +544,82 @@ private[master] class Master(
* has enough cores and memory. Otherwise, each executor grabs all the
cores available on the
* worker by default, in which case only one executor may be launched on
each worker.
*/
- private def startExecutorsOnWorkers(): Unit = {
- // Right now this is a very simple FIFO scheduler. We keep trying to
fit in the first app
- // in the queue, then the second app, etc.
+
+ private[master] def scheduleExecutorsOnWorkers(app: ApplicationInfo,
+ usableWorkers: Array[WorkerInfo], spreadOutApps: Boolean): Array[Int]
= {
+ val coresPerExecutor = app.desc.coresPerExecutor.getOrElse(1)
+ val memoryPerExecutor = app.desc.memoryPerExecutorMB
+ val numUsable = usableWorkers.length
+ val assignedCores = new Array[Int](numUsable) // Number of cores to
give to each worker
+ val assignedMemory = new Array[Int](numUsable) // Amount of memory to
give to each worker
+ var toAssign = math.min(app.coresLeft,
usableWorkers.map(_.coresFree).sum)
--- End diff --
can you call this `coresToAssign`
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