Github user shivaram commented on the pull request:
https://github.com/apache/spark/pull/12836#issuecomment-216750713
Ok - if the behavior we get from `dapply(repartition(df, cols))` is the
same as `groupByKey().flatMap` then I'm fine with going with the simpler
implementation.
But I think we should have a high level `gapply(df, cols, function(group))`
API in SparkR that is clearly specified. The internal implementation we should
go with whatever is simpler.
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