You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Narine Kokhlikyan (JIRA)" <ji...@apache.org> on 2016/05/04 06:11:13 UTC
[jira] [Updated] (SPARK-15110) SparkR - Implement
repartitionByColumn on DataFrame
[ https://issues.apache.org/jira/browse/SPARK-15110?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Narine Kokhlikyan updated SPARK-15110:
--------------------------------------
Description:
Implement repartitionByColumn on DataFrame.
This will allow us to run R functions on each partition identified by column groups with dapply() method.
was:
Implement repartitionByColumn on DataFrame.
This will allow us to run R functions on each partition with dapply() method.
> SparkR - Implement repartitionByColumn on DataFrame
> ---------------------------------------------------
>
> Key: SPARK-15110
> URL: https://issues.apache.org/jira/browse/SPARK-15110
> Project: Spark
> Issue Type: New Feature
> Components: SparkR
> Reporter: Narine Kokhlikyan
>
> Implement repartitionByColumn on DataFrame.
> This will allow us to run R functions on each partition identified by column groups with dapply() method.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org