ay 26, 2020 at 11:34 AM M. Manna wrote:
>
>> Hey Vinicius,
>>
>>
>> On Tue, 26 May 2020 at 10:27, Vinicius Scheidegger <
>> vinicius.scheideg...@gmail.com> wrote:
>>
>> > In a scenario with multiple independent producers (imagine ephemer
ays on the Producer. Is
this understanding correct?
If that's the case, how should one achieve an equally distributed load
balancing (round robin) over the partitions in a scenario with multiple
producers?
Thank you,
Vinicius Scheidegger
t; synchronize all producers).
>
> Thank you,
>
> On Tue, May 26, 2020 at 1:41 PM Vinicius Scheidegger <
> vinicius.scheideg...@gmail.com> wrote:
>
>> Yes, I checked it. The issue is that RoundRobbinPartitioner is bound to
>> the producer. In a scenario with multiple
as a Broker side round robin solution would.
Am I missing something? Any other ideas?
Thanks
On Tue, May 26, 2020 at 11:34 AM M. Manna wrote:
> Hey Vinicius,
>
>
> On Tue, 26 May 2020 at 10:27, Vinicius Scheidegger <
> vinicius.scheideg...@gmail.com> wrote:
>
> &g
solution?
Should I move this message to the dev forum? - no one gave me much
attention there too (but maybe my messages are too big/boring - hahaha)
Thanks
On Tue, Jun 2, 2020 at 1:08 PM Vinicius Scheidegger <
vinicius.scheideg...@gmail.com> wrote:
> Hi Liam,
>
> First of all,
o guarantee, but in my experience,
> round robining multiple producers works fine.
>
> Cheers,
>
> Liam Clarke
>
> On Mon, 1 Jun. 2020, 11:55 pm Vinicius Scheidegger, <
> vinicius.scheideg...@gmail.com> wrote:
>
> > Hey guys, I need some help here...
> >
&
Hi Peter,
AFAIK, everything depends on:
1) How you have configured your topic
a) number of partitions (here I understand you have 15 partitions)
b) partition replication configuration (each partition necessarily has a
leader - primary responsible to hold the data - and for reads and writes)
distribution might be good enough though.
I hope it helps,
Vinicius Scheidegger
On Tue, Jul 7, 2020 at 7:52 AM Victoria Zuberman <
victoria.zuber...@imperva.com> wrote:
> Hi,
>
> I have userId as a key.
> Many users have moderate amounts of data but some users have more and some
(there are different partitioning schemes) and
then you may have a better sense of it.
I hope it helps
Vinicius Scheidegger
On Sat, Nov 14, 2020, 8:39 PM Mazen Ezzeddine <
mazen.ezzedd...@etu.univ-cotedazur.fr> wrote:
> Given a business application that resorts into a message queue solution
> like
sumer group is
> doing to keep up with the production rate?
>
> On 2020/11/14 22:36:34, Vinicius Scheidegger <
> vinicius.scheideg...@gmail.com> wrote:
> > This depends on the design of your application and how you are using
> Kafka.
> >
> > For instance,
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