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From aishwarya kumar <ash26...@gmail.com>
Subject Re: [Discuss] - KIP-532 - Add KStream#toTable to the Streams DSL
Date Fri, 27 Sep 2019 15:11:18 GMT
Hello John,

Thank you for pointing this out to me, to maintain consistency across API's
it does make sense to allow users to define custom names for
their processors.

I've made the change in the KIP:
https://cwiki.apache.org/confluence/display/KAFKA/KIP-523%3A+Add+KStream%23toTable+to+the+Streams+DSL

Best,
Aishwarya

On Tue, Sep 24, 2019 at 11:54 AM John Roesler <john@confluent.io> wrote:

> Hey Aishwarya,
>
> Thanks for the KIP! It looks good to me, although in a post-KIP-307
> world, we also need a "Named" parameter (to give the processor node a
> name, as opposed to the store itself).
>
> This would result in a total of four overloads:
> 1. no args
> 2. Named
> 3. Materialized
> 4. Materialized, Named
>
> I'd like to propose a re-design of the DSL in the future to clean this
> up, but for now, this is the pattern we have to follow.
>
> Thoughts?
>
> Thanks,
> -John
>
> On Tue, Sep 24, 2019 at 9:54 AM aishwarya kumar <ash26389@gmail.com>
> wrote:
> >
> > Thank you for the suggestion Matthais, i've made the necessary changes in
> > the KIP.
> >
> > Keeping this thread open for further input.
> > KIP link:
> >
> https://cwiki.apache.org/confluence/display/KAFKA/KIP-523%3A+Add+KStream%23toTable+to+the+Streams+DSL
> >
> > Best,
> > Aishwarya
> >
> > On Thu, Sep 19, 2019 at 10:50 AM aishwarya kumar <ash26389@gmail.com>
> wrote:
> >
> > > Thanks Matthias,
> > >
> > > That does make sense, let me update the KIP to reflect the
> Materialization
> > > scenario.
> > >
> > > Best,
> > > Aishwarya
> > >
> > > On Tue, Sep 17, 2019, 2:49 PM Matthias J. Sax <matthias@confluent.io>
> > > wrote:
> > >
> > >> Aishwarya,
> > >>
> > >> thanks for the KIP. Overall, I think it makes sense to allow
> converting
> > >> a KStream into a KTable.
> > >>
> > >> From the KIP:
> > >>
> > >> > materializing these KTables should only be allowed if the overloaded
> > >> function with Materialized is used (and if optimization is turned on
> it may
> > >> still be only logically materialized if the queryable name is not
> set).
> > >>
> > >> Can you elaborate? I think the behavior we want should align with the
> > >> behavior of `StreamsBuilder#table()`.
> > >>
> > >> From my understanding (correct me if I am wrong) it should be:
> > >>
> > >> (1) If optimization is turned off, the KTable will always be
> > >> materialized, independent which method is used. The KTable will not be
> > >> queryable though.
> > >>
> > >> (2) If optimization is turned on and if `toTable()` is used, the
> KTable
> > >> may or may not be materialized. For this case, even if the KTable is
> > >> materialized, the store would not be queryable.
> > >>
> > >> (3) If `toTable(Materialized)` is use and a `storeName` or
> > >> `StoreSupplier` is specified, the store will always be materialized
> and
> > >> also be queryable. Otherwise, case (1) or (2) applies.
> > >>
> > >>
> > >>
> > >> -Matthias
> > >>
> > >>
> > >> On 9/17/19 6:42 AM, aishwarya kumar wrote:
> > >> > Hi All,
> > >> >
> > >> > Keeping this thread alive!!
> > >> >
> > >> > The aim is to add two methods Kstream.toTable() &
> > >> > Kstream.toTable(Materialized<K,V>), so users can choose to convert
> their
> > >> > event stream into a changelog stream at any stage.
> > >> > wiki link :
> > >> >
> > >>
> https://cwiki.apache.org/confluence/display/KAFKA/KIP-523:+Add+KStream%23toTable+to+the+Streams+DSL
> > >> > jira ticket : https://issues.apache.org/jira/browse/KAFKA-7658
> > >> >
> > >> > Best,
> > >> > Aishwarya
> > >> >
> > >> > On Fri, Sep 13, 2019 at 10:49 AM aishwarya kumar <
> ash26389@gmail.com>
> > >> wrote:
> > >> >
> > >> >> Hello,
> > >> >>
> > >> >> Starting this thread to discuss KIP-532:
> > >> >> wiki link :
> > >> >>
> > >>
> https://cwiki.apache.org/confluence/display/KAFKA/KIP-523:+Add+KStream%23toTable+to+the+Streams+DSL
> > >> >> jira ticket : https://issues.apache.org/jira/browse/KAFKA-7658
> > >> >>
> > >> >> There has been some discussion around the use-case of this KIP
in
> the
> > >> Jira
> > >> >> ticket.
> > >> >>
> > >> >> Regards,
> > >> >> Aishwarya
> > >> >>
> > >> >
> > >>
> > >>
>

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