Github user andrewor14 commented on the issue:
https://github.com/apache/spark/pull/13618
This looks OK but somewhat arbitrary. This whole thing depends a lot on the
data structures the user allocates outside of Spark so no matter how low we
make it there will be some applications that will not work.
Also will those potentially introduce a different kind of regression, where
apps in 1.6 with memory fraction = 0.75 run faster than apps in 2.0 with a
lower memory fraction? Maybe it's OK if all the other performance advances in
2.0 are sufficient in offsetting that.
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