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https://issues.apache.org/jira/browse/SPARK-15799?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15736801#comment-15736801
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Shivaram Venkataraman commented on SPARK-15799:
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There is already some code which considers the Hive conf value first and if
that is missing it uses the SparkConf value. At least thats my reading of
https://github.com/apache/spark/blob/cf33a86285629abe72c1acf235b8bfa6057220a8/sql/core/src/main/scala/org/apache/spark/sql/internal/SharedState.scala#L49
> 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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