Github user sun-rui commented on the pull request:
https://github.com/apache/spark/pull/9582#issuecomment-155274214
LGTM.
I just want to discuss a BKM here for all cases of such kind. That is we
want to add in SparkR a function which also an existing S3 geneirc function
defined in R Base package. There are two ways for use to add such function in
SparkR:
1. Define an S4 generic function, which has compatible signature with the
existing S3 generic function in Base package. Then use setMethod() to define
the our own method for SparkR;
2. No need to define an S4 generic function. Just define a new S3 method
for the existing S3 generic function. For example, for this case, we could:
summary.DataFrame <- ...
I am not sure which is better. I think we can have a discussion and find a
preferred style. We can consistently use that style later.
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