Github user jinxing64 commented on the issue:
https://github.com/apache/spark/pull/16989
@cloud-fan @mridulm
I think it's good idea to make 2000 configurable. But checking the code,
I'm a little bit hesitant to do that in this pr. I think it's bigger change and
some related code need to update, like (`SHUFFLE_PREF_REDUCE_THRESHOLD` in
`MapOutputTracker`).
I added spark.reducer.maxReqSizeShuffleToMem(Int.MaxValue by default) and
spark.shuffle.accurateBlockSizeThreshold(2*avgSize by default).
Please take another look when you have time.
Thanks a lot again for taking you so much time reviewing this pr :-) ð
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