Hi all!
A late follow-up with some thoughts:
In principle, all these are good suggestions and are on the roadmap. We are
trying to make the release "by time", meaning for it at a certain date
(roughly in two weeks) and take what features are ready into the release.
Looking at the status of the f
Hi, Community
By the way, there is a very important feature I think it should be. Currently,
the BucketingSink does not support when a bucket is ready for user use. This
situation will be very obvious when flink work with offline end. We called that
real time/offline integration in business. In
;>>
> >>>> Atomic cancel-with-savepoint: Agreed, this is important. Making this
> >>>> work with all sources needs a bit more work. We should have this in the
> >>>> roadmap.
> >>>>
> >>>> Elastic Bloomfilter
e should have this in the roadmap.
>>>>
>>>> Elastic Bloomfilters: This seems like an interesting new feature - the
>>>> above suggested feature set was more about addressing some longer standing
>>>> issues/requests. However, nothing should prevent co
lt;https://issues.apache.org/jira/browse/FLINK-5479>
>> issues.apache.org <http://issues.apache.org/>
>> Reported in ML:
>> http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/Kafka-topic-partition-skewness-causes-watermark-not-being-emitted-td11008.html
>>
p://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/Kafka-topic-partition-skewness-causes-watermark-not-being-emitted-td11008.html
>
> <http://apache-flink-user-mailing-list-archive.2336050.n4.nabble.com/Kafka-topic-partition-skewness-causes-watermark-not-being-emitte
Reported in ML: http://apache-flink-user-maili
>>> ng-list-archive.2336050.n4.nabble.com/Kafka-topic-partition-
>>> skewness-causes-watermark-not-being-emitted-td11008.html It's normally
>>> not a common case to have Kafka partitions not producing any data, but
>>> i
#x27;ll probably be good to handle this as well. I ...
|
From: Rico Bergmann
Sent: Tuesday, June 5, 2018 9:12:00 PM
To: Hao Sun
Cc:dev@flink.apache.org; user
Subject: Re: [DISCUSS] Flink 1.6 features
+1 on K8s integration
Am 06.06.2018 um 00:01 schrieb Hao Sun :
adding my vote
normally
>> not a common case to have Kafka partitions not producing any data, but
>> it'll probably be good to handle this as well. I ...
>>
>> --
>> *From:* Rico Bergmann
>> *Sent:* Tuesday, June 5, 2018 9:12:00 PM
>> *To:
5, 2018 9:12:00 PM
> *To:* Hao Sun
> *Cc:* dev@flink.apache.org; user
> *Subject:* Re: [DISCUSS] Flink 1.6 features
>
> +1 on K8s integration
>
>
>
> Am 06.06.2018 um 00:01 schrieb Hao Sun :
>
> adding my vote to K8S Job mode, maybe it is this?
> > Smoothe
Flink 1.5 has happened (yay!) - so it is a good time
>
> From: Stephan Ewen
> To: dev@flink.apache.org, user
> Date: 06/04/2018 02:21 AM
> Subject: [DISCUSS] Flink 1.6 features
> --
>
>
>
> Hi Flink Community!
>
> The release of Apache
,
Shirley Shum
From: Stephan Ewen
To: dev@flink.apache.org, user
Date: 06/04/2018 02:21 AM
Subject:[DISCUSS] Flink 1.6 features
Hi Flink Community!
The release of Apache Flink 1.5 has happened (yay!) - so it is a good time
to start talking about what to do for release 1.6
Before removing the legacy code, I would still wait a bit and see what the
user feedback is. The legacy mode is a good safety net against severe
deployment regressions. Thus, it should be a very conscious decision to
remove the code.
As far as I know, there is currently nobody actively working on
Hi Stephan,
could you please also consider the "Elastic Filter " feature discussioned in
thread
http://apache-flink-mailing-list-archive.1008284.n3.nabble.com/PROPOSAL-Introduce-Elastic-Bloom-Filter-For-Flink-td22430.html
?
Best, Sihua
On 06/4/2018 17:21，Stephan Ewen wrote：
Hi Flink Comm
Hi Flink Community!
The release of Apache Flink 1.5 has happened (yay!) - so it is a good time
to start talking about what to do for release 1.6.
*== Suggested release timeline ==*
I would propose to release around *end of July* (that is 8-9 weeks from
now).
The rational behind that: There was
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