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ASF GitHub Bot commented on FLINK-5968: --------------------------------------- Github user bowenli86 commented on a diff in the pull request: https://github.com/apache/flink/pull/4833#discussion_r146134312 --- Diff: docs/dev/stream/operators/windows.md --- @@ -721,6 +808,111 @@ input </div> </div> +#### Incremental Window Aggregation with AggregateFunction + +The following example shows how an incremental `AggregateFunction` can be combined with +a `ProcesWindowFunction` to compute the average and also emit the key and window along with +the average. + +<div class="codetabs" markdown="1"> +<div data-lang="java" markdown="1"> +{% highlight java %} +DataStream<Tuple2<String, Long> input = ...; + +input + .keyBy(<key selector>) + .timeWindow(<window assigner>) + .aggregate(new AverageAggregate(), new MyProcessWindowFunction()); + +// Function definitions + +/** + * The accumulator is used to keep a running sum and a count. The {@code getResult} method + * computes the average. + */ +private static class AverageAggregate + implements AggregateFunction<Tuple2<String, Long>, Tuple2<Long, Long>, Double> { + @Override + public Tuple2<Long, Long> createAccumulator() { + return new Tuple2<>(0L, 0L); + } + + @Override + public Tuple2<Long, Long> add( + Tuple2<String, Long> value, Tuple2<Long, Long> accumulator) { + return new Tuple2<>(accumulator.f0 + value.f1, accumulator.f1 + 1L); + } + + @Override + public Double getResult(Tuple2<Long, Long> accumulator) { + return accumulator.f0 / accumulator.f1; + } + + @Override + public Tuple2<Long, Long> merge( + Tuple2<Long, Long> a, Tuple2<Long, Long> b) { --- End diff -- ditto > Document WindowedStream.aggregate() > ----------------------------------- > > Key: FLINK-5968 > URL: https://issues.apache.org/jira/browse/FLINK-5968 > Project: Flink > Issue Type: Sub-task > Components: DataStream API, Documentation > Reporter: Aljoscha Krettek > Assignee: Aljoscha Krettek > Priority: Blocker > Fix For: 1.4.0 > > -- This message was sent by Atlassian JIRA (v6.4.14#64029)