Hello Team, I'm new to Flink and I don't know why window is not working
DataStream<Tuple7<String, String, String, String, String, String, Long>> window2 = stream2.assignTimestampsAndWatermarks( new AscendingTimestampExtractor<Tuple7<String, String, String, String, String, String, Long>>() { public long extractAscendingTimestamp( Tuple7<String, String, String, String, String, String, Long> t) { return t.f6; } }).windowAll(TumblingEventTimeWindows.of(Time.seconds(2))).reduce(new Reducer2()); window2.print(); So, this is the code that I've written for 2 sec window and I'm using event time for processing window My data format is like 13,234234,34,32445,3423fsdf,20191111111119 The last value in csv is time(YYYYMMDDHHmmss) Definition of Reducer2: public static final class Reducer2 implements ReduceFunction<Tuple7<String, String, String, String, String, String, Long>> { public Tuple7<String, String, String, String, String, String, Long> reduce( Tuple7<String, String, String, String, String, String, Long> t_new, Tuple7<String, String, String, String, String, String, Long> t_old) { return new Tuple7<String, String, String, String, String, String, Long>(t_new.f0, t_new.f1, t_new.f2, t_new.f3, t_new.f4, t_new.f5, t_new.f6); } } With my understanding when the data comes similar to above sample, then first window is created. When timestamp is 20191111111120 then, this will also be added to the window. Finally if something comes like 20191111111122, the old window should be stopped and this code should print the result on the console. Problem is it's not working the same way. May be my understanding is not correct. please correct me if I'm wrong. Thanks, Abhijeet Kumar Software Development Engineer, Sentienz Solutions Pvt Ltd Cognitive Data Platform - Perceive the Data ! abhijeet.ku...@sentienz.com <mailto:abhijeet.ku...@sentienz.com> |www.sentienz.com <http://www.sentienz.com/> | Bengaluru