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Posted to issues@spark.apache.org by "Sun Rui (JIRA)" <ji...@apache.org> on 2016/04/20 08:05:25 UTC

[jira] [Created] (SPARK-14746) Support transformations in R source code for Dataset/DataFrame

Sun Rui created SPARK-14746:
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             Summary: 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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