Hi,
I think conceptually the pipeline could look something like this:
env
.addSource(...)
.keyBy("device_id")
.window(SlidingEventTimeWindows.of(Time.minutes(15), Time.seconds(10)))
.trigger(new Trigger {
def onElement(el, timestamp, window, ctx) = {
if (window.start == TimeWindow.getWindowStartWithOffset(timestamp,
0, 10_000)) {
ctx.registerEventTimeTimer(window.end)
}
TriggerResult.CONTINUE
}
def onEventTime(time, window, ctx) = {
TriggerResult.FIRE
}
}))
.aggregate(...)
(slide 10s needs to be adjusted)
Regards,
Roman
On Tue, Feb 25, 2020 at 3:44 PM Avinash Tripathy <
avinash.tripa...@stellapps.com> wrote:
> Hi Theo,
>
> We also have the same scenario. If it would be great if you could provide
> some examples or more details about flink process function.
>
> Thanks,
> Avinash
>
> On Tue, Feb 25, 2020 at 12:29 PM theo.diefent...@scoop-software.de <
> theo.diefent...@scoop-software.de> wrote:
>
>> Hi,
>>
>> At last flink forward in Berlin I spoke with some persons about the same
>> problem, where they had construction devices as IoT sensors which could
>> even be offline for multiple days.
>>
>> They told me that the major problem for them was that the watermark in
>> Flink is maintained per operator /subtask, even if you group by key.
>>
>> They solved their problem via a Flink process function where they have
>> full control over state and timers, so you can deal with each device as you
>> like and can e. g. maintain something similar to a per device watermark. I
>> also think that it is the best way to go for this usecase.
>>
>> Best regards
>> Theo
>>
>>
>>
>>
>> -------- Ursprüngliche Nachricht --------
>> Von: hemant singh <hemant2...@gmail.com>
>> Datum: Di., 25. Feb. 2020, 06:19
>> An: Marco Villalobos <mvillalo...@beyond.ai>
>> Cc: user@flink.apache.org
>> Betreff: Re: Timeseries aggregation with many IoT devices off of one
>> Kafka topic.
>>
>> Hello,
>>
>> I am also working on something similar. Below is the pipeline design I
>> have, sharing may be it can be helpful.
>>
>> topic -> keyed stream on device-id -> window operation -> sink.
>>
>> You can PM me on further details.
>>
>> Thanks,
>> Hemant
>>
>> On Tue, Feb 25, 2020 at 1:54 AM Marco Villalobos <mvillalo...@beyond.ai>
>> wrote:
>>
>> I need to collect timeseries data from thousands of IoT devices. Each
>> device has name, value, and timestamp published to one Kafka topic. The
>> event time timestamps are in order only relation with the individual
>> device, but out of order with respect to other devices.
>>
>>
>>
>> Is there a way to aggregate a 15 minute window of this in which each IoT
>> devices gets aggregated with its own event time?
>>
>>
>>
>> I would deeply appreciate if somebody could guide me to an approach for
>> solving this in Flink.
>>
>>
>>
>> I wish there was a group chat for these type of problems.
>>
>>
>>
>>
