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https://issues.apache.org/jira/browse/SPARK-15780?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15319594#comment-15319594
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koert kuipers commented on SPARK-15780:
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also see this discussion:
https://mail.google.com/mail/u/0/#label/Active/1552c23b293b1ac8
> Support mapValues on KeyValueGroupedDataset
> -------------------------------------------
>
> Key: SPARK-15780
> URL: https://issues.apache.org/jira/browse/SPARK-15780
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Reporter: koert kuipers
> Priority: Minor
>
> Currently when doing groupByKey on a Dataset the key ends up in the values
> which can be clumsy:
> {noformat}
> val ds: Dataset[(K, V)] = ...
> val grouped: KeyValueGroupedDataset[(K, (K, V))] = ds.groupByKey(_._1)
> {noformat}
> With mapValues one can create something more similar to PairRDDFunctions[K,
> V]:
> {noformat}
> val ds: Dataset[(K, V)] = ...
> val grouped: KeyValueGroupedDataset[(K, V)] =
> ds.groupByKey(_._1).mapValues(_._2)
> {noformat}
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