Github user sun-rui commented on the pull request:
https://github.com/apache/spark/pull/12836#issuecomment-221179691
@thunterdb, @NarineK, definitely we can add API like aggregate() later
based on the functionalities of two basic API.
I can submit a JIRA issue for it later. We can allow passing a user defined
function as FUN. We could support FUN as builit-in functions ('mean', 'sum',
etc...) by internally created an R function wrapping it, but it seems not
worth, As SparkDataFrame can provide such common aggregation functions, which
run on JVM, having better performance than R worker. However, if any built-in
functions in R has no parity in Spark Core, we can consider support it in
SparkR.
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