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https://issues.apache.org/jira/browse/SPARK-14746?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15356713#comment-15356713
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sujeetjog commented on SPARK-14746:
-----------------------------------
I believe running external Scripts like R code in Data Frames is a much needed
facility, for example for the algorithms that are not available in MLLIB,
invoking such from a R script would definitely be a powerful feature when your
APP is Scala/Python based, you don;t have to use Spark-R for this sake when
much of your application code is in Scala/python.
> Support transformations in R source code for Dataset/DataFrame
> --------------------------------------------------------------
>
> Key: SPARK-14746
> URL: https://issues.apache.org/jira/browse/SPARK-14746
> Project: Spark
> Issue Type: New Feature
> Components: SparkR, SQL
> Reporter: Sun Rui
>
> there actually is a desired scenario mentioned several times in the Spark
> mailing list that users are writing Scala/Java Spark applications (not
> SparkR) but want to use R functions in some transformations. typically this
> can be achieved by calling Pipe() in RDD. However, there are limitations on
> pipe(). So we can support applying a R function in source code format to a
> Dataset/DataFrame (Thus SparkR is not needed for serializing an R function.)
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