Github user aljoscha commented on a diff in the pull request:
https://github.com/apache/flink/pull/2756#discussion_r87802539
--- Diff:
flink-streaming-java/src/main/java/org/apache/flink/streaming/api/datastream/WindowedStream.java
---
@@ -459,7 +545,28 @@ public WindowedStream(KeyedStream<T, K> input,
* @param resultType Type information for the result type of the window
function
* @return The data stream that is the result of applying the window
function to the window.
*/
- public <R> SingleOutputStreamOperator<R> apply(R initialValue,
FoldFunction<T, R> foldFunction, WindowFunction<R, R, K, W> function,
TypeInformation<R> resultType) {
+ public <R> SingleOutputStreamOperator<R> apply(R initialValue,
FoldFunction<T, R> foldFunction,
--- End diff --
I think we can already implement
https://issues.apache.org/jira/browse/FLINK-3869 (see my last comment there)
for the `ProcessWindowFunction`. I.e. don't have `apply(ReduceFunction,
WindowFunction)` but `reduce(ReduceFunction, ProcessWindowFunction)` (same for
fold).
Also, `apply(R, FoldFunction, WindowFunction)` has a bug, in that it is too
restrictive, see the Jira issue I linked.
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