Github user NarineK commented on the pull request:
https://github.com/apache/spark/pull/12836#issuecomment-216731954
@shivaram , this is the implementation proposal from @sun-rui that I've
been following:
https://docs.google.com/presentation/d/1oj17N5JaE8JDjT2as_DUI6LKutLcEHNZB29HsRGL_dM/edit#slide=id.p9
I did try to implement one version with groupBy and agg, but that is
implemented very differently compare to implementation proposal. @sun-rui 's
proposal is close to groupByKey and flatMap path. That's what I've been
following ...
wrt to repartitioning, I understand that repartitioning(df, cols) creates
as many partitions as unique groups exist - each partition corresponds to each
group and we can run a function on each of them. That's how I understood so
far....
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