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Posted to issues@spark.apache.org by "Reynold Xin (JIRA)" <ji...@apache.org> on 2016/01/13 07:57:40 UTC

[jira] [Comment Edited] (SPARK-6817) DataFrame UDFs in R

    [ https://issues.apache.org/jira/browse/SPARK-6817?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15095721#comment-15095721 ] 

Reynold Xin edited comment on SPARK-6817 at 1/13/16 6:57 AM:
-------------------------------------------------------------

[~sunrui]

Why are you focusing on a row-based API? I think a block oriented API in the original Google Docs makes more sense. I also don't want the UDF to depend on RRDD, because we are going to remove RRDD from Spark once the UDFs are implemented.




was (Author: rxin):
[~sunrui]

Why are you focusing on a row-based API? I think a block oriented API in the original Google Docs makes a lot more sense. I also don't want the UDF to depend on RRDD, because we are going to remove RRDD from Spark once the UDFs are implemented.



> DataFrame UDFs in R
> -------------------
>
>                 Key: SPARK-6817
>                 URL: https://issues.apache.org/jira/browse/SPARK-6817
>             Project: Spark
>          Issue Type: New Feature
>          Components: SparkR, SQL
>            Reporter: Shivaram Venkataraman
>         Attachments: SparkR UDF Design Documentation v1.pdf
>
>
> This depends on some internal interface of Spark SQL, should be done after merging into Spark.



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