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Posted to issues@spark.apache.org by "Felix Cheung (JIRA)" <ji...@apache.org> on 2019/04/06 18:01:00 UTC

[jira] [Commented] (SPARK-15799) Release SparkR on CRAN

    [ https://issues.apache.org/jira/browse/SPARK-15799?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16811654#comment-16811654 ] 

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

more fixed for this (did not open JIRA)

[https://github.com/apache/spark/commit/fa0f791d4d9f083a45ab631a2e9f88a6b749e416#diff-e1e1d3d40573127e9ee0480caf1283d6]

[https://github.com/apache/spark/commit/927081dd959217ed6bf014557db20026d7e22672#diff-e1e1d3d40573127e9ee0480caf1283d6]

 

> 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
>            Assignee: Shivaram Venkataraman
>            Priority: Major
>             Fix For: 2.1.2
>
>
> 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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