Sure. You don't need a trigger, but a WindowFunction instead of the
FoldFunction.
Only the WindowFunction has access to the Window object.
Something like this:
poissHostStreams
.timeWindow(Time.of(WINDOW_SIZE, TimeUnit.MILLISECONDS))
.apply(new WindowFunction<IN, OUT, KEY, TimeWindow>() {
@override
public void apply(KEY key, TimeWindow window, Iterable<IN> vals,
Collector<OUT> out) {
// YOUR CODE
window.getEnd()
}
})
Best, Fabian
2015-12-10 14:41 GMT+01:00 Martin Neumann <mneum...@sics.se>:
> Hi Fabian,
>
> thanks for your answer. Can I do the same in java using normal time
> windows (without additional trigger)?
>
> My current codes looks like this:
>
> poissHostStreams
> .timeWindow(Time.of(WINDOW_SIZE, TimeUnit.MILLISECONDS))
> .fold(new Tuple2<>("", new HashMap<>()), new
> MultiValuePoissonPreProcess())
>
> How can I get access to the time window object in the fold function?
>
>
> cheers Martin
>
>
> On Thu, Dec 10, 2015 at 12:20 PM, Fabian Hueske <fhue...@gmail.com> wrote:
>
>> Hi Martin,
>>
>> you can get the start and end time of a window from the TimeWindow object.
>> The following Scala code snippet shows how to access the window end time
>> (start time is equivalent):
>>
>> .timeWindow(Time.minutes(5))
>> .trigger(new EarlyCountTrigger(earlyCountThreshold))
>> .apply { (
>> key: Int,
>> window: TimeWindow,
>> vals: Iterable[(Int, Short)],
>> out: Collector[(Int, Long, Int)]) =>
>> out.collect( ( key, window.getEnd, vals.map( _._2 ).sum ) )
>> }
>>
>> Cheers, Fabian
>>
>> 2015-12-10 12:04 GMT+01:00 Martin Neumann <mneum...@sics.se>:
>>
>>> Hej,
>>>
>>> Is it possible to extract the start and end window time stamps from
>>> within a window operator?
>>>
>>> I have an event time based window that does a simple fold function. I
>>> want to put the output into elasticsearch and want to preserve the start
>>> and end timestamp of the data so I can directly compare it with related
>>> data. The only Idea I had so far was to manually keep track of the minimum
>>> and maximum timestamp found in a window and pass them along with the
>>> output. This is a quite bad approximation since the window I see depends
>>> alot on how the values are spaced out. Anyone an idea how to do this?
>>>
>>> cheers Martin
>>>
>>
>>
>
