Hi Yegor

The trigger implementation in Flink does not support  trigger by event
count and duration together. You can update the existing CountTrigger
implementation to support your functionality.
You can use the CustomTrigger.java (minor enhancement of CountTrigger) as
such which I have attached in this thread. TestWindow is the window
function which lets you receive the grouped events. You check the diff of
CountTrigger and CustomTrigger for your better understanding.

*Usage*
stream.timeWindow(Time.seconds(10)).trigger(CustomTrigger.of(3)).apply(new
TestWindow());

Thank you
Raghavendar T S
merasplugins.com
teknosrc.com





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On Thu, Apr 29, 2021 at 1:04 PM Till Rohrmann <trohrm...@apache.org> wrote:

> Hi Yegor,
>
> If you want to use Flink's keyed windowing logic, then you need to insert
> a keyBy/shuffle operation because Flink currently cannot simply use the
> partitioning of the Kinesis shards. The reason is that Flink needs to group
> the keys into the correct key groups in order to support rescaling of the
> state.
>
> What you can do, though, is to create a custom operator or use a flatMap
> to build your own windowing operator. This operator could then use the
> partitioning of the Kinesis shards by simply collecting the events until
> either 30 seconds or 1000 events are observed.
>
> Cheers,
> Till
>
> On Wed, Apr 28, 2021 at 11:12 AM Yegor Roganov <yegor....@gmail.com>
> wrote:
>
>> Hello
>>
>> To learn Flink I'm trying to build a simple application where I want to
>> save events coming from Kinesis to S3.
>> I want to subscribe to each shard, and within each shard I want to batch
>> for 30 seconds, or until 1000 events are observed. These batches should
>> then be uploaded to S3.
>> What I don't understand is how to key my source on shard id, and do it in
>> a way that doesn't induce unnecessary shuffling.
>> Is this possible with Flink?
>>
>

-- 
Raghavendar T S
www.teknosrc.com

Attachment: CustomTrigger.java
Description: Binary data

Attachment: TestWindow.java
Description: Binary data

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