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

    https://github.com/apache/spark/pull/9531#discussion_r44204792
  
    --- Diff: sql/core/src/main/scala/org/apache/spark/sql/DataFrame.scala ---
    @@ -1478,18 +1478,54 @@ class DataFrame private[sql](
     
       /**
        * Returns the first `n` rows in the [[DataFrame]].
    +   *
    +   * Running take requires moving data into the application's driver 
process, and doing so on a
    +   * very large dataset can crash the driver process with OutOfMemoryError.
    +   *
        * @group action
        * @since 1.3.0
        */
       def take(n: Int): Array[Row] = head(n)
     
       /**
    +   * Returns the first `n` rows in the [[DataFrame]] as a list.
    +   *
    +   * Running take requires moving data into the application's driver 
process, and doing so on a
    +   * very large dataset can crash the driver process with OutOfMemoryError.
    +   *
    +   * @group action
    +   * @since 1.6.0
    +   */
    +  def takeAsList(n: Int): java.util.List[Row] = 
java.util.Arrays.asList(take(n) : _*)
    +
    +  /**
        * Returns an array that contains all of [[Row]]s in this [[DataFrame]].
    +   *
    +   * Running collect requires moving all the data into the application's 
driver process, and
    +   * doing so on a very large dataset can crash the driver process with 
OutOfMemoryError.
    +   *
    +   * For Java API, use [[collectAsList]].
    --- End diff --
    
    No it doesn't' exist, but still good to use a java list.



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