Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/5013#issuecomment-89094687
Hey @ojkar, thanks for working on this. I'd love to have better support
for automatically setting the numbers of partitions. However, I'm hesitant to
do it based on cluster size. Specifically, I'm worried that existing jobs that
run on a small cluster, but with lots of data, might start OOMing where they
did not before. Instead, I think this needs to be controlled by a conf
(perhaps when `spark.sql.shuffle.partitions` is set to `auto`), and have it
based on the # of input partitions. What do you think?
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