[
https://issues.apache.org/jira/browse/SPARK-11046?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15812214#comment-15812214
]
Vicente Masip commented on SPARK-11046:
---------------------------------------
I'd like to see this last characteristic implemented. Completely necessary for
reasons you explain here. What happen when you are working with 50 columns and
gapply? Do I rewrite 50 columns with it's new columun from gapply operation? I
think there is no alternative. Any suggestions?
> Pass schema from R to JVM using JSON format
> -------------------------------------------
>
> Key: SPARK-11046
> URL: https://issues.apache.org/jira/browse/SPARK-11046
> Project: Spark
> Issue Type: Improvement
> Components: SparkR
> Affects Versions: 1.5.1
> Reporter: Sun Rui
> Priority: Minor
>
> Currently, SparkR passes a DataFrame schema from R to JVM backend using
> regular expression. However, Spark now supports schmea using JSON format.
> So enhance SparkR to use schema in JSON format.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
