You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/05/08 09:32:00 UTC
[jira] [Commented] (SPARK-7231) Make SparkR DataFrame API more
dplyr friendly
[ https://issues.apache.org/jira/browse/SPARK-7231?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14534034#comment-14534034 ]
Apache Spark commented on SPARK-7231:
-------------------------------------
User 'shivaram' has created a pull request for this issue:
https://github.com/apache/spark/pull/6005
> Make SparkR DataFrame API more dplyr friendly
> ---------------------------------------------
>
> Key: SPARK-7231
> URL: https://issues.apache.org/jira/browse/SPARK-7231
> Project: Spark
> Issue Type: Sub-task
> Components: SparkR
> Affects Versions: 1.4.0
> Reporter: Shivaram Venkataraman
> Assignee: Shivaram Venkataraman
> Priority: Critical
>
> This ticket tracks auditing the SparkR dataframe API and ensuring that the API is friendly to existing R users.
> Mainly we wish to make sure the DataFrame API we expose has functions similar to those which exist on native R data frames and in popular packages like `dplyr`.
--
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