Github user sun-rui commented on the pull request:
https://github.com/apache/spark/pull/12836#issuecomment-219336575
@NarineK,
1. No need to add gapplymode. You can change isDataFrame from boolean to
Int which can hold multiple values. 0 - RDD mode, 1 - dapplymode, 2
-gapplymmode.
2. No need to serialize Key to R bytes for each group. Just use SerDe to
write key columns to R worker.
The format is something like:
(Number of key columns)(Key1)(key2)(...)(keyn)(Number of Rows in the
groups)(Rows...)
Rows in the group are serialized to R bytes to re-use current logic
3. The R function for gapply takes two parameters: (Keys, ldf). I think it
is helpful to pass the key in addition to the group.
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