Github user marmbrus commented on a diff in the pull request:

    https://github.com/apache/spark/pull/9190#discussion_r42776824
  
    --- Diff: sql/core/src/main/scala/org/apache/spark/sql/GroupedDataset.scala 
---
    @@ -0,0 +1,68 @@
    +/*
    + * Licensed to the Apache Software Foundation (ASF) under one or more
    + * contributor license agreements.  See the NOTICE file distributed with
    + * this work for additional information regarding copyright ownership.
    + * The ASF licenses this file to You under the Apache License, Version 2.0
    + * (the "License"); you may not use this file except in compliance with
    + * the License.  You may obtain a copy of the License at
    + *
    + *    http://www.apache.org/licenses/LICENSE-2.0
    + *
    + * Unless required by applicable law or agreed to in writing, software
    + * distributed under the License is distributed on an "AS IS" BASIS,
    + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
    + * See the License for the specific language governing permissions and
    + * limitations under the License.
    + */
    +
    +package org.apache.spark.sql
    +
    +import org.apache.spark.sql.catalyst.encoders.Encoder
    +import org.apache.spark.sql.catalyst.expressions.Attribute
    +import org.apache.spark.sql.catalyst.plans.logical._
    +import org.apache.spark.sql.execution.QueryExecution
    +
    +/**
    + * A [[Dataset]] has been logically grouped by a user specified grouping 
key.  Users should not
    + * construct a [[GroupedDataset]] directly, but should instead call 
`groupBy` on an existing
    + * [[Dataset]].
    + */
    +class GroupedDataset[K, T] private[sql](
    +    private val kEncoder: Encoder[K],
    +    private val tEncoder: Encoder[T],
    +    queryExecution: QueryExecution,
    +    private val dataAttributes: Seq[Attribute],
    +    private val groupingAttributes: Seq[Attribute]) extends Serializable {
    +
    +  private implicit def kEnc = kEncoder
    +  private implicit def tEnc = tEncoder
    +  private def logicalPlan = queryExecution.analyzed
    +  private def sqlContext = queryExecution.sqlContext
    +
    +  /**
    +   * Returns a [[Dataset]] that contains each unique key.
    +   */
    +  def keys: Dataset[K] = {
    --- End diff --
    
    We don't *need* it, but its virtually free to implement efficiently, 
additionally:
    - [Scalding has 
it](https://github.com/twitter/scalding/wiki/Type-safe-api-reference#creating-groups-and-joining-cogrouping)
    - [PairRDD has 
it](https://spark.apache.org/docs/0.7.2/api/core/spark/PairRDDFunctions.html)


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