[
https://issues.apache.org/jira/browse/SPARK-16578?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15420749#comment-15420749
]
Jeff Zhang commented on SPARK-16578:
------------------------------------
I think one purpose of this ticket is to share the same SparkContext across
language. The SparkContext in one jvm can be used by both R and Scala.
Zeppelin/Livy has implemented this by modifying the shell.R when launching R
process. Is there any design doc for this now ? I think this would benefit the
downstream project (zeppelin/livy) although they have implemented their own
approach.
> Configurable hostname for RBackend
> ----------------------------------
>
> Key: SPARK-16578
> URL: https://issues.apache.org/jira/browse/SPARK-16578
> Project: Spark
> Issue Type: Sub-task
> Components: SparkR
> Reporter: Shivaram Venkataraman
>
> One of the requirements that comes up with SparkR being a standalone package
> is that users can now install just the R package on the client side and
> connect to a remote machine which runs the RBackend class.
> We should check if we can support this mode of execution and what are the
> pros / cons of it
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
