Hi Istvan,
are you running batch or streaming Flink jobs? It is often the
user-defined code that creates a lot of objects during runtime. Try to
get rid of object creation as much as possible, maybe also a library you
are using causes these issues. You might also reduce the size of network
buffers to free some memory.
Timo
Am 27/07/16 um 23:43 schrieb Istvan Soos:
> Hi,
>
> We can see an occasional OOM issue with our Flink jobs. Maybe the
> input got more diverse, and the grouping has much more keys, not
> really sure about that part.
>
> How do you usually tackle these issues? We are running with
> parallelism between 5-30. Would it help if we turn that down?
>
> We do set taskmanager.heap.mb explicitly, but not the advanced config options.
>
> Thanks,
> Istvan
--
Freundliche Grüße / Kind Regards
Timo Walther
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https://www.linkedin.com/in/twalthr
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