Github user sryza commented on the pull request:
https://github.com/apache/spark/pull/3525#issuecomment-73427026
Not a huge deal, but I think the converse is kind of true. In my
experience, the right percentage is totally unclear to everyone in all
situations, so pretty much always needs to be set experimentally. If I settle
on a percentage that works for my job (or all my jobs), it would be nice for me
not to need to reset this param every time I tweak spark.executor.memory.
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