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From "Felix Cheung (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-15799) Release SparkR on CRAN
Date Fri, 15 Jul 2016 22:42:20 GMT

    [ https://issues.apache.org/jira/browse/SPARK-15799?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15380246#comment-15380246
] 

Felix Cheung commented on SPARK-15799:
--------------------------------------

re: higher level R packages that depends on SparkR
- I think we need to expand on what might be required here. We should support a higher level
R package running in a cluster with existing Spark & SparkR; or without existing Spark?


> Release SparkR on CRAN
> ----------------------
>
>                 Key: SPARK-15799
>                 URL: https://issues.apache.org/jira/browse/SPARK-15799
>             Project: Spark
>          Issue Type: New Feature
>          Components: SparkR
>            Reporter: Xiangrui Meng
>
> Story: "As an R user, I would like to see SparkR released on CRAN, so I can use SparkR
easily in an existing R environment and have other packages built on top of SparkR."
> I made this JIRA with the following questions in mind:
> * Are there known issues that prevent us releasing SparkR on CRAN?
> * Do we want to package Spark jars in the SparkR release?
> * Are there license issues?
> * How does it fit into Spark's release process?



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