Github user mateiz commented on the pull request:
https://github.com/apache/spark/pull/1499#issuecomment-49669025
I've now updated it with I believe all of @aarondav's fixes and an
optimization he suggested for in-memory-only data (don't bother sorting by key
or merge-sorting).
I also tried running this on all our test suites by making sort-based
shuffle the default, and it almost works, except there's a test with custom
Product2 types in ShuffledRDD that breaks. However upon further investigation
I'm not sure that feature was fully supported even in the current version (our
current spilling code would also not return the right type), so we might remove
that.
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