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 !
[email protected] <mailto:[email protected]>
|www.sentienz.com <http://www.sentienz.com/> | Bengaluru
