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From Guozhang Wang <wangg...@gmail.com>
Subject Re: KafkaStreams GroupBy with new key. Can I skip repartition?
Date Sun, 01 Mar 2020 02:52:12 GMT
It is in progress, but I was not the main reviewer of that ticket so I
cannot say for sure. I saw the last update is on Jan/2019 so maybe it's a
bit loose now.. If you want to pick it up and revive the KIP completion
feel free to do so :)


Guozhang


On Fri, Feb 28, 2020 at 5:54 PM Murilo Tavares <murilofla@gmail.com> wrote:

> Guozhang
> The ticket definitely describes what I’m trying to achieve.
> And should I be hopeful with the fact it’s in progress? :)
> Thanks for pointing that out.
> Murilo
>
> On Fri, Feb 28, 2020 at 2:57 PM Guozhang Wang <wangguoz@gmail.com> wrote:
>
> > Hi Murilo,
> >
> > Would this be helping your case?
> > https://issues.apache.org/jira/browse/KAFKA-4835
> >
> >
> > Guozhang
> >
> > On Fri, Feb 28, 2020 at 7:01 AM Murilo Tavares <murilofla@gmail.com>
> > wrote:
> >
> > > Hi
> > > I am currently doing a simple KTable groupby().aggregate() in
> > KafkaStreams.
> > > In the groupBy I do need to select a new key, but I know for sure that
> > the
> > > new key would still fall in the same partition. Because of this, I
> > believe
> > > the repartition would not be necessary, but my question is: is it
> > possible
> > > to do a groupBy, changing the key, and tell KafkaStreams to not create
> > the
> > > repartition topic?
> > > Thanks
> > > Murilo
> > >
> >
> >
> > --
> > -- Guozhang
> >
>


-- 
-- Guozhang

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