;> Stefan, in our case we are already on Flink 1.2.1 which should have the
>>>> patched version of RocksDB, right? Because that patch did solve an issue
>>>> we had in a different Flink job (a Kafka Source -> HDFS/Bucketing Sink
>>>> which was
Source -> HDFS/Bucketing Sink which
>>> was stalling quite often under Flink 1.2.0) but did not solve this case,
>>> which fits the “way too much RocksDB access” explanation better.
>>>
>>>
>>> Thanks again,
>>> Carst
>>>
&
ain,
>> Carst
>>
>> From: Aljoscha Krettek mailto:aljos...@apache.org>>
>> Date: Wednesday, May 24, 2017 at 16:13
>> To: Stefan Richter > <mailto:s.rich...@data-artisans.com>>
>> Cc: Carst Tankink mailto:ctank...@bol.com>>,
>> &q
> *From: *Aljoscha Krettek
> *Date: *Wednesday, May 24, 2017 at 16:13
> *To: *Stefan Richter
> *Cc: *Carst Tankink , "user@flink.apache.org" <
> user@flink.apache.org>
> *Subject: *Re: large sliding window perf question
>
> Hi,
>
> I’m afraid you’re runn
FoldingState, but
> why this so slow is beyond me.
>
> Hope this info helps in figuring out what is going on, and hopefully it is
> actually related to Chen’s case :)
>
>
> Thanks,
> Carst
>
> From: Stefan Richter <mailto:s.rich...@data-artisans.com>>
&
explanation better.
>
>
> Thanks again,
> Carst
>
> From: Aljoscha Krettek
> Date: Wednesday, May 24, 2017 at 16:13
> To: Stefan Richter
> Cc: Carst Tankink , "user@flink.apache.org"
>
> Subject: Re: large sliding window perf question
>
&g
2.0) but did not solve this case, which fits the “way
too much RocksDB access” explanation better.
Thanks again,
Carst
From: Aljoscha Krettek
Date: Wednesday, May 24, 2017 at 16:13
To: Stefan Richter
Cc: Carst Tankink , "user@flink.apache.org"
Subject: Re: large sliding window perf
e this info helps in figuring out what is going on, and hopefully it is
>> actually related to Chen’s case :)
>>
>>
>> Thanks,
>> Carst
>>
>> From: Stefan Richter > <mailto:s.rich...@data-artisans.com>>
>> Date: Tuesday, May 23, 2017 at
> actually related to Chen’s case :)
>
>
> Thanks,
> Carst
>
> From: Stefan Richter
> Date: Tuesday, May 23, 2017 at 21:35
> To: "user@flink.apache.org"
> Subject: Re: large sliding window perf question
>
> Hi,
>
> Which state backend
hopefully it is
actually related to Chen’s case :)
Thanks,
Carst
From: Stefan Richter
Date: Tuesday, May 23, 2017 at 21:35
To: "user@flink.apache.org"
Subject: Re: large sliding window perf question
Hi,
Which state backend and Flink version are you using? There was a problem with
lar
Hi,
Which state backend and Flink version are you using? There was a problem with
large merging states on RocksDB, caused by some inefficiencies in the merge
operator of RocksDB. We provide a custom patch for this with all newer versions
of Flink.
Best,
Stefan
> Am 23.05.2017 um 21:24 schrieb
Hi there,
I have seen some weird perf issue while running event time based job with
large sliding window (24 hours offset every 10s)
pipeline looks simple,
tail kafka topic and assign timestamp and watermark, forward to large
sliding window (30days) and fire every 10 seconds and print out.
what
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