Github user fhueske commented on a diff in the pull request:
https://github.com/apache/flink/pull/1975#discussion_r83319240
--- Diff:
flink-streaming-scala/src/main/scala/org/apache/flink/streaming/api/scala/WindowedStream.scala
---
@@ -362,38 +362,84 @@ class WindowedStream[T, K, W <: Window](javaStream:
JavaWStream[T, K, 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.
+ * 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 minimum 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 minimum element of the
window by
+ * the given field. When equality, returns either the first or last one
depending
+ * on the parameter setting.
+ */
+ def minBy(field: String, first: Boolean): DataStream[T] =
aggregate(AggregationType.MINBY,
+ field, first)
+
+ private def aggregate(aggregationType: AggregationType, position: Int):
DataStream[T] = {
--- End diff --
This method may not be changed to `private` because it is a stable
`@Public` interface.
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