spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Sun Rui (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-6817) DataFrame UDFs in R
Date Wed, 13 Jan 2016 07:20:39 GMT

    [ https://issues.apache.org/jira/browse/SPARK-6817?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15095745#comment-15095745
] 

Sun Rui commented on SPARK-6817:
--------------------------------

[~rxin] Row-oriented R UDF is for SQL and is similar to Python UDF. I am not making the R
UDF depends on RRDD, but abstract the re-usable logic that can be shared by RRDD and R UDF,
which is also similar to Python UDF. 
I don't know what the block means in "block oriented API"? something like GroupedData? I think
that depends on UDAF support, which will be supported after UDF support. Maybe something I
mis-understand?

> 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.



--
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


Mime
View raw message