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https://issues.apache.org/jira/browse/SPARK-15294?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15297146#comment-15297146
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Shivaram Venkataraman commented on SPARK-15294:
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[~mhnatiuk] I think the code diff looks pretty good and you can go ahead and
open a PR for this. Opening a PR should be pretty simple if you follow the
instructions at
https://cwiki.apache.org/confluence/display/SPARK/Contributing+to+Spark#ContributingtoSpark-ContributingCodeChanges
(See the section titled 'Pull Request' specifically).
Regarding whether it should be `sum(df$earnings)` - I'd like to think of it as
a pointer to the column that should be summed. Ideally we'd get it to work with
just `earnings` (i.e. without the need for df$), but that has some
complications we haven't figured out yet.
> Add pivot functionality to SparkR
> ---------------------------------
>
> Key: SPARK-15294
> URL: https://issues.apache.org/jira/browse/SPARK-15294
> Project: Spark
> Issue Type: Improvement
> Components: SparkR
> Reporter: MikoĊaj Hnatiuk
> Priority: Minor
> Labels: pivot
>
> R users are very used to transforming data using functions such as dcast
> (pkg:reshape2). https://github.com/apache/spark/pull/7841 introduces such
> functionality to Scala and Python APIs. I'd like to suggest adding this
> functionality into SparkR API to pivot DataFrames.
> I'd love to to this, however, my knowledge of Scala is still limited, but
> with a proper guidance I can give it a try.
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