[
https://issues.apache.org/jira/browse/SPARK-16326?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15410480#comment-15410480
]
Sean Owen commented on SPARK-16326:
-----------------------------------
Is there an action for the Spark code here? I'm inclined to close this as I
don't know what outcome there would be that would reflect in the Spark code.
> Evaluate sparklyr package from RStudio
> --------------------------------------
>
> Key: SPARK-16326
> URL: https://issues.apache.org/jira/browse/SPARK-16326
> Project: Spark
> Issue Type: Brainstorming
> Components: SparkR
> Reporter: Sun Rui
>
> Rstudio has developed sparklyr (https://github.com/rstudio/sparklyr)
> connecting R community to Spark. A rough review shows that sparklyr provides
> a dplyr backend and new API for mLLIB and for calling Spark from R. Of
> course, sparklyr internally uses the low level mechanism in SparkR.
> We can discuss how to position SparkR with sparklyr.
--
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
