Github user squito commented on a diff in the pull request:
https://github.com/apache/spark/pull/15221#discussion_r80312510
--- Diff:
core/src/main/scala/org/apache/spark/scheduler/cluster/CoarseGrainedSchedulerBackend.scala
---
@@ -216,7 +216,7 @@ class CoarseGrainedSchedulerBackend(scheduler:
TaskSchedulerImpl, val rpcEnv: Rp
val activeExecutors = executorDataMap.filterKeys(executorIsAlive)
val workOffers = activeExecutors.map { case (id, executorData) =>
new WorkerOffer(id, executorData.executorHost,
executorData.freeCores)
- }.toSeq
+ }.toIndexedSeq
--- End diff --
this just happened to generate an `IndexedSeq` before in any case, which is
why this wasn't a performance bottleneck. But if scala libs and decided to
generate something else on the call to `.toSeq`, scheduling performance would
tank before this change.
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