Github user ash211 commented on the pull request:
https://github.com/apache/spark/pull/99#issuecomment-37155320
I'm used to thinking of Spark standalone clusters as having 4 different
"types" of JVMs -- 1 driver, 1 master, N workers, and M executors. Does
SPARK_DAEMON_MEMORY control both the master and worker JVM heap size?
I'd like to add some clarifying documentation as to how these are used as
well. Do you mind if I take the description in this PR as a base for the
documentation?
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