Github user jongyoul commented on a diff in the pull request:
https://github.com/apache/spark/pull/5063#discussion_r26556299
--- Diff:
core/src/main/scala/org/apache/spark/scheduler/cluster/mesos/MesosSchedulerBackend.scala
---
@@ -67,6 +67,8 @@ private[spark] class MesosSchedulerBackend(
// The listener bus to publish executor added/removed events.
val listenerBus = sc.listenerBus
+
+ val executorCores = sc.conf.getInt("spark.mesos.executor.cores", 1)
--- End diff --
I thought spark.executor.cores means total number of cores on yarn mode,
and it's confused that one configuration makes different meaning whenever I
choose a different cluster manager. Do you think spark.executor.cores is
reasonable and clear? I also think less configuration options are better. I
just try not to confuse when I configure setting.
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