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https://issues.apache.org/jira/browse/SPARK-15780?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15316701#comment-15316701
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Apache Spark commented on SPARK-15780:
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User 'koertkuipers' has created a pull request for this issue:
https://github.com/apache/spark/pull/13526
> 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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