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Posted to issues@spark.apache.org by "Reynold Xin (JIRA)" <ji...@apache.org> on 2016/10/20 17:08:59 UTC
[jira] [Resolved] (SPARK-15780) Support mapValues on
KeyValueGroupedDataset
[ https://issues.apache.org/jira/browse/SPARK-15780?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Reynold Xin resolved SPARK-15780.
---------------------------------
Resolution: Fixed
Assignee: Koert Kuipers
Fix Version/s: 2.1.0
> Support mapValues on KeyValueGroupedDataset
> -------------------------------------------
>
> Key: SPARK-15780
> URL: https://issues.apache.org/jira/browse/SPARK-15780
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Reporter: koert kuipers
> Assignee: Koert Kuipers
> Priority: Minor
> Fix For: 2.1.0
>
>
> 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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