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https://issues.apache.org/jira/browse/SPARK-15294?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15281807#comment-15281807
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Shivaram Venkataraman commented on SPARK-15294:
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[~mhnatiuk] Thanks for opening this. I dont think we need any Scala changes to
implement this. Similar to the count method [1], we just need to add a R
wrapper that calls the pivot method in Scala. The python implementation is
similar as you can see in [2]
Let us know if you want to open a PR for this.
[1]
https://github.com/apache/spark/blob/470de743ecf3617babd86f50ab203e85aa975d69/R/pkg/R/group.R#L65
[2]
https://github.com/apache/spark/blob/470de743ecf3617babd86f50ab203e85aa975d69/python/pyspark/sql/group.py#L171
> 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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