Github user rnowling commented on the pull request:
https://github.com/apache/spark/pull/4027#issuecomment-167891616
@andrewor14 I wasn't clear about which of your posts I was referring to --
my apologies. The `spark.executor.cores` suggestion to set the number of cores
per executor is very reasonable.
At one point, you also suggested that the framework should also execute as
many executors as needed to use all or nearly all the cores on each node. I
would prefer that this is overridable by specifying the maximum number of
executors to use per node. This makes it easier to use Spark on a cluster
shared by multiple users or applications.
Earlier, you had also suggested offering an option for the amount of memory
per executor. Is that still valid in your proposal?
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