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Shivaram Venkataraman commented on SPARK-15799: ----------------------------------------------- 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? -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org