Hi Till yes it does, thanksĀ for the clear example. Bart On Tue, Mar 22, 2016, at 14:25, Till Rohrmann wrote: > Hi Bart, > there are multiple ways how to specify a window function using the > Scala API. The most scalaesque way would probably be to use an > anonymous function:
> val env = StreamExecutionEnvironment.getExecutionEnvironment val > input = env.fromElements(1,2,3,4,5,7) val pair = input.map(x => (x, > x)) val allWindow = pair.timeWindowAll(Time.seconds(10)) val result > = allWindow{ (window, iterable, collector: Collector[Int]) => iterable > foreach { case (l, r) => collector.collect(l + r) } } result.print() > env.execute("Flink Scala API Skeleton") > > I hope this helps you. > Cheers, > Till > > > On Tue, Mar 22, 2016 at 12:40 PM, Bart van Deenen > <bartvandee...@fastmail.fm> wrote: >> >> Hi all >> >> I'm using 1.0, and have all my data nicely bundled in one >> allWindow, but >> I don't understand the syntax in Scala to make on json out of >> those for >> dumping the whole window into Kafka. >> >> My type is: >> >> val stream: AllWindowedStream[(List[String], Long, Int), TimeWindow] >> >> and I want to do >> >> stream.apply ???????? >> >> I've tried to convert the Java example from the documentation to >> Scala, >> but I can't get anything meaningful to compile >> >> allWindowedStream.apply (new >> AllWindowFunction<Tuple2<String,Integer>, >> Integer, Window>() { >> public void apply (Window window, >> Iterable<Tuple2<String, Integer>> values, >> Collector<Integer> out) throws Exception { >> int sum = 0; >> for (value t: values) { >> sum += t.f1; >> } >> out.collect (new Integer(sum)); >> } >> }); >> >> >> Help very appreciated! >> >> Greetings >> >> >> -- >> Bart van DeenenĀ bartvandee...@fastmail.fm