Github user brndnmtthws commented on the pull request:
https://github.com/apache/spark/pull/2401#issuecomment-55903580
That implies that as you grow the heap, you're not adding threads (or other
things that use off-heap memory). I'm not familiar with Spark's execution
model, but I would assume that as you scale up, the workers will need more
threads to serve cache requests and what have you.
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