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Posted to issues@spark.apache.org by "Reynold Xin (JIRA)" <ji...@apache.org> on 2016/04/21 00:07:25 UTC
[jira] [Closed] (SPARK-14746) Support transformations in R source
code for Dataset/DataFrame
[ https://issues.apache.org/jira/browse/SPARK-14746?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Reynold Xin closed SPARK-14746.
-------------------------------
Resolution: Won't Fix
Closing as won't fix for now. We can of course revisit this in the future.
> 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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