Github user sun-rui commented on the pull request:
https://github.com/apache/spark/pull/12836#issuecomment-220207524
@felixcheung, it is assumed that when dapply() or gapply() is called, each
partition data can be loaded into memory as data.frame for processing by R
workers. If there is OOM issue, users have to tune the partition number or
reduce the data set size beforehand by doing some operations, including
aggregations.
dapply() and gapply() provide basic functionalities, upon which other APIs
convenient to R users can be built. Could you help to submit a PR requesting
adding such API, for example, dapply(df, by, FUN). But not sure how popular it
is in the R community.
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