Github user sun-rui commented on the pull request:
https://github.com/apache/spark/pull/9193#issuecomment-151055969
@shivaram, [R lag
function](https://stat.ethz.ch/R-manual/R-devel/library/stats/html/lag.html) is
for time series objects, which is irrelevant to the lead/lag here in
Github user sun-rui commented on the pull request:
https://github.com/apache/spark/pull/9193#issuecomment-151350204
Yes. the lag will be masked. Just as discussed before, sometimes, this is
allowed, as I assume lag is not so commonly and frequently used ("dplyr" masks
lag also).
Github user sun-rui commented on the pull request:
https://github.com/apache/spark/pull/9193#issuecomment-151375443
@shivaram, for your suggestion that "we should a make a list of functions
that we mask and are incompatible", I submitted
Github user shivaram commented on the pull request:
https://github.com/apache/spark/pull/9193#issuecomment-151366290
Hmm I see. In the case of `lag` I can see your point. But at a high level I
think we should a make a list of functions that we mask and are incompatible
(i.e. things
Github user asfgit closed the pull request at:
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Github user shivaram commented on the pull request:
https://github.com/apache/spark/pull/9193#issuecomment-151195921
Ok. The thing I was worried about is that if somebody loads SparkR they
won't be able to use `lag` from stats -- Can you check if that is the case ?
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Github user shivaram commented on a diff in the pull request:
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--- Diff: R/pkg/R/functions.R ---
@@ -2008,3 +2008,101 @@ setMethod("ifelse",
"otherwise", no)
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Github user sun-rui commented on the pull request:
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Jenkins, retest this please
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--- Diff: core/src/main/scala/org/apache/spark/api/r/RBackendHandler.scala
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@@ -224,7 +224,8 @@ private[r] class RBackendHandler(server: RBackend)
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[SPARK-11209][SPARKR] Add window functions into SparkR [step 1].
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/sun-rui/spark SPARK-11209
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