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

    https://github.com/apache/flink/pull/1975#discussion_r83310436
  
    --- Diff: 
flink-streaming-scala/src/main/scala/org/apache/flink/streaming/api/scala/AllWindowedStream.scala
 ---
    @@ -361,38 +361,84 @@ class AllWindowedStream[T, W <: Window](javaStream: 
JavaAllWStream[T, W]) {
     
       /**
        * Applies an aggregation that that gives the maximum element of the 
window by
    -   * the given position. When equality, returns the first.
    +   * the given position. When equality, returns the first by default.
        */
       def maxBy(position: Int): DataStream[T] = 
aggregate(AggregationType.MAXBY,
    -    position)
    +    position, true)
     
       /**
        * Applies an aggregation that that gives the maximum element of the 
window by
    -   * the given field. When equality, returns the first.
    +   * the given position. When equality, returns either the first or last 
one depending
    +   * on the parameter setting.
    +   */
    +  def maxBy(position: Int, first: Boolean): DataStream[T] = 
aggregate(AggregationType.MAXBY,
    +    position, first)
    +
    +  /**
    +   * Applies an aggregation that that gives the maximum element of the 
window by
    +   * the given field. When equality, returns the first by default.
        */
       def maxBy(field: String): DataStream[T] = 
aggregate(AggregationType.MAXBY,
    -    field)
    +    field, true)
    +
    +  /**
    +   * Applies an aggregation that that gives the maximum element of the 
window by
    +   * the given field. When equality, returns either the first or last one 
depending
    +   * on the parameter setting.
    +   */
    +  def maxBy(field: String, first: Boolean): DataStream[T] = 
aggregate(AggregationType.MAXBY,
    +    field, first)
     
       /**
        * Applies an aggregation that that gives the minimum element of the 
window by
    -   * the given position. When equality, returns the first.
    +   * the given position. When equality, returns the first by default.
        */
       def minBy(position: Int): DataStream[T] = 
aggregate(AggregationType.MINBY,
    -    position)
    +    position, true)
     
       /**
    -   * Applies an aggregation that that gives the minimum element of the 
window by
    -   * the given field. When equality, returns the first.
    +   * Applies an aggregation that that gives the maximum element of the 
window by
    +   * the given position. When equality, returns either the first or last 
one depending
    +   * on the parameter setting.
    +   */
    +  def minBy(position: Int, first: Boolean): DataStream[T] = 
aggregate(AggregationType.MINBY,
    +    position, first)
    +
    +  /**
    +   * Applies an aggregation that that gives the maximum element of the 
window by
    +   * the given field. When equality, returns the first by default.
        */
       def minBy(field: String): DataStream[T] = 
aggregate(AggregationType.MINBY,
    -    field)
    +    field, true)
    +
    +  /**
    +   * Applies an aggregation that that gives the maximum element of the 
window by
    --- End diff --
    
    `maximum` -> `minimum`


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