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https://issues.apache.org/jira/browse/SPARK-10903?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14941353#comment-14941353
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Shivaram Venkataraman commented on SPARK-10903:
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I'd say lets have one common function to find the sqlContext (the hierarchy in
toDF looks good to me) and use that everywhere. Basically after calling
sparkRSQL.init(sc) the user shouldn't care about the return value and just use
SparkR functions like read.df("/a/b.csv")
> Make sqlContext global
> -----------------------
>
> Key: SPARK-10903
> URL: https://issues.apache.org/jira/browse/SPARK-10903
> Project: Spark
> Issue Type: Sub-task
> Components: SparkR
> Reporter: Narine Kokhlikyan
> Priority: Minor
>
> Make sqlContext global so that we don't have to always specify it.
> e.g. createDataFrame(iris) instead of createDataFrame(sqlContext, iris)
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