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From Aljoscha Krettek <aljos...@apache.org>
Subject Re: window-like use case
Date Tue, 25 Oct 2016 14:41:31 GMT
Hi Maciek,
cases like this, where you essentially want to evict elements that are
older than a certain threshold while keeping a count of those elements that
are not older than that threshold tend to be quite tricky.

In order to start thinking about this, how would you implement this case in
a non-parallel way, in plain Java. You have the stream of incoming events,
they possibly have timestamps, they are possibly not ordered by that
timestamp (this depends on your use case). Now, what are the
algorithms/data structures that could be used for computing the result that
you require?

Cheers,
Aljoscha

On Fri, 23 Sep 2016 at 10:50 Claudia Wegmann <c.wegmann@kasasi.de> wrote:

> Hey,
>
> I'm no expert at all, but for me this sounds like a use case for Complex
> Event Processing (CEP). I don't know if you're aware of Flinks CEP Library
> [1, 2]? Maybe that solves your problem of multiple firings. But best to
> wait for the experts to answer your questions on handling state and firing
> windows :)
>
> Best,
> Claudia
>
> [1]: https://flink.apache.org/news/2016/04/06/cep-monitoring.html
> [2]:
> https://ci.apache.org/projects/flink/flink-docs-master/dev/libs/cep.html
>
>
> -----Urspr√ľngliche Nachricht-----
> Von: Maciek Próchniak [mailto:mpr@touk.pl]
> Gesendet: Freitag, 23. September 2016 10:36
> An: user@flink.apache.org
> Betreff: window-like use case
>
> Hi,
>
> in our project we're dealing with a stream of billing events. Each has
> customerId and charge amount We want to have a process that will trigger
> event (alarm) when sum of charges for customer during last 4 hours exceeds
> certain threshold, say
> - 10.
> The triggered event should contain data from last billing event (the one
> that triggered alarm)
>
> One one hand we can implement it as custom state - we'd save charges (or
> some precomputed aggregates) from last 4 hours and trigger event when new
> one arrives.
> OTOH we've been thinking if we can make it easier by using flink windows.
> We tried to model our situation as sliding events (of length 4hours, slide
> is 1h), have some precomputed aggregate and have a custom trigger that
> fires on element when threshold is exceeded.
> It kinda works, except for the fact that state is unnecesarily large,
> custom trigger is a bit hacky and (worst of all) when event with charge
> amount e.g. 20 arrives trigger fires in all slides and we have duplicated
> events.
> That's why we currently think about implementing it by custom state...
>
> Do you have any other ideas/recommendations how can we handle such
> requirement?
>
> thanks,
> maciek
>

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