Github user vanzin commented on a diff in the pull request:
https://github.com/apache/spark/pull/16975#discussion_r101860376
--- Diff: core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala ---
@@ -466,7 +466,7 @@ object SparkSubmit extends CommandLineUtils {
// Other options
OptionAssigner(args.executorCores, STANDALONE | YARN,
ALL_DEPLOY_MODES,
sysProp = "spark.executor.cores"),
- OptionAssigner(args.executorMemory, STANDALONE | MESOS | YARN,
ALL_DEPLOY_MODES,
+ OptionAssigner(args.executorMemory, ALL_CLUSTER_MGRS,
ALL_DEPLOY_MODES,
--- End diff --
Well, it would make `local-cluster[]` work like any other master, where you
have to explicitly set the executor memory. I understand the desire to simplify
things, but this is doing it at the cost of being inconsistent with other
cluster managers.
(e.g. the same command line with a different master would behave
differently - you'd fall back to having 1g of memory for executors instead of
whatever was defined in the `local-cluster` string.)
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