Hi Saiph,
you can do it the following way:
input.keyBy(0).timeWindow(Time.seconds(10)).fold(0, new
FoldFunction<Tuple2<Integer, Integer>, Integer>() {
@Override
public Integer fold(Integer integer, Tuple2<Integer, Integer> o)
throws Exception {
return integer + 1;
}
});
Cheers,
Till
On Thu, Feb 25, 2016 at 7:58 PM, Saiph Kappa <saiph.ka...@gmail.com> wrote:
> Hi,
>
> In Flink Stream what's the best way of counting the number of tuples
> within a window of 10 seconds? Using a map-reduce task? Asking because in
> spark there is the method rawStream.countByWindow(Seconds(x)).
>
> Thanks.
>
