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From jaceklaskowski <...@git.apache.org>
Subject [GitHub] spark pull request #13526: [SPARK-15780][SQL] Support mapValues on KeyValueG...
Date Thu, 07 Jul 2016 21:02:06 GMT
Github user jaceklaskowski commented on a diff in the pull request:

    https://github.com/apache/spark/pull/13526#discussion_r69986420
  
    --- Diff: sql/core/src/main/scala/org/apache/spark/sql/KeyValueGroupedDataset.scala ---
    @@ -65,6 +65,46 @@ class KeyValueGroupedDataset[K, V] private[sql](
           groupingAttributes)
     
       /**
    +   * Returns a new [[KeyValueGroupedDataset]] where the given function has been applied
to the
    +   * data. The grouping key is unchanged by this.
    +   *
    +   * {{{
    +   *   // Create values grouped by key from a Dataset[(K, V)]
    +   *   ds.groupByKey(_._1).mapValues(_._2) // Scala
    +   * }}}
    +   * @since 2.0.0
    +   */
    +  def mapValues[W: Encoder](func: V => W): KeyValueGroupedDataset[K, W] = {
    +    val withNewData = AppendColumns(func, dataAttributes, logicalPlan)
    +    val projected = Project(withNewData.newColumns ++ groupingAttributes, withNewData)
    +    val executed = sparkSession.sessionState.executePlan(projected)
    +
    +    new KeyValueGroupedDataset(
    +      encoderFor[K],
    +      encoderFor[W],
    +      executed,
    +      withNewData.newColumns,
    +      groupingAttributes)
    +  }
    +
    +  /**
    +   * Returns a new [[KeyValueGroupedDataset]] where the given function has been applied
to the
    --- End diff --
    
    ...with the given function `func` applied to the data?


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