[jira] [Resolved] (SPARK-11199) Improve R context management story and add getOrCreate

["Yin Huai (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-11199?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Yin Huai resolved SPARK-11199.
------------------------------
       Resolution: Fixed
    Fix Version/s: 2.0.0

Issue resolved by pull request 9185
[https://github.com/apache/spark/pull/9185]

> Improve R context management story and add getOrCreate
> ------------------------------------------------------
>
>                 Key: SPARK-11199
>                 URL: https://issues.apache.org/jira/browse/SPARK-11199
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SparkR
>    Affects Versions: 1.5.1
>            Reporter: Felix Cheung
>            Assignee: Felix Cheung
>            Priority: Minor
>             Fix For: 2.0.0
>
>
> Similar to SPARK-11114
> Also from discussion in SPARK-10903:
> "
> Hossein Falaki added a comment - 08/Oct/15 13:06
> +1 We have seen a lot of questions from new SparkR users about the life cycle of the context. 
> My question is: are we going to remove or deprecate sparkRSQL.init()? I suggest we should, because right now calling that method creates a new Java SQLContext object, and having two of them prevents users form viewing temp tables.
> Felix Cheung added a comment - 08/Oct/15 17:13
> +1 perhaps sparkR.init() should create sqlContext and/or hiveCtx together.
> But Hossein Falaki, as of now calling sparkRSQL.init() should return the same one as you can see https://github.com/apache/spark/blob/master/R/pkg/R/sparkR.R#L224
> Hossein Falaki added a comment - 08/Oct/15 17:16
> I meant the SQL Context: https://github.com/apache/spark/blob/master/R/pkg/R/sparkR.R#L236
> This call should have been "getOrCreate."
> "



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