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From Fabian Hueske <fhue...@gmail.com>
Subject Re: User-defined aggregation function and parallelism
Date Mon, 16 Apr 2018 12:54:11 GMT
Hi Bill,

Flink's built-in aggregation functions are implemented against the same
interface as UDAGGs and are applied in parallel.
The performance depends of course on the implementation of the UDAGG. For
example, you should try to keep the size of the accumulator as small as
possible because it will be stored in the state backend.
If you are using the RocksDBStatebackend, this means that the accumulator
is de/serialized for every records.

Best, Fabian

2018-04-16 5:21 GMT+02:00 杨力 <bill.lee.y@gmail.com>:

> I am running flink SQL in streaming mode and implemented a UDAGG, which is
> used in keyed HOP windows. But I found that the throughput decreases
> dramatically when the function is used. Does UDAGG run in parallell? Or
> does it run only in one thread?
>
> Regards,
> Bill
>

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