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