t; > So while connecting topic T1 with 3 consumer c1,c2,c3 all will have
>> >>the
>> >> > same group id so only one of the consumer will receive the
>>message at
>> >> > time.
>> >> >
>> >> > Same we can do with other t
consumer will receive the message at
> >> > time.
> >> >
> >> > Same we can do with other topic and rest of the consumer
> >> >
> >> > Thanks
> >> > Gaurav
> >> > On Mar 29, 2016 9:20 AM, "Vinod Kakad" wrote:
while connecting topic T1 with 3 consumer c1,c2,c3 all will have
>>the
>> > same group id so only one of the consumer will receive the message at
>> > time.
>> >
>> > Same we can do with other topic and rest of the consumer
>> >
>> > Thanks
he consumer
> >
> > Thanks
> > Gaurav
> > On Mar 29, 2016 9:20 AM, "Vinod Kakad" wrote:
> >
> > > Can we have multiple topics and multiple consumers but in a queue
> > > implementation.
> > >
> > > for e.g.
> > > Th
one of the consumer will receive the message at
> time.
>
> Same we can do with other topic and rest of the consumer
>
> Thanks
> Gaurav
> On Mar 29, 2016 9:20 AM, "Vinod Kakad" wrote:
>
> > Can we have multiple topics and multiple consumers but in a queue
&g
with other topic and rest of the consumer
Thanks
Gaurav
On Mar 29, 2016 9:20 AM, "Vinod Kakad" wrote:
> Can we have multiple topics and multiple consumers but in a queue
> implementation.
>
> for e.g.
> There are 2 topics T1 and T2 and four consumers C1,C2,C3 and C4.
, Vinod Kakad wrote:
> Can we have multiple topics and multiple consumers but in a queue
> implementation.
>
> for e.g.
> There are 2 topics T1 and T2 and four consumers C1,C2,C3 and C4.
>
> can we have C1,C2,C3 subscribe to T1 and (C3,C4) subscribe to T2. and this
> shoul
Can we have multiple topics and multiple consumers but in a queue
implementation.
for e.g.
There are 2 topics T1 and T2 and four consumers C1,C2,C3 and C4.
can we have C1,C2,C3 subscribe to T1 and (C3,C4) subscribe to T2. and this
should work like a queue. i.e. T2 should send message to only C3
5:19 PM, Vinod Kakad wrote:
>
> > Can anybody share any good example(code) for kafka as a queue
> > implementation?
> >
> > Thanks & Regards,
> > Vinod Kakad.
> >
>
>
>
> --
> --
> Sharninder
>
at 5:19 PM, Vinod Kakad wrote:
>
> > Can anybody share any good example(code) for kafka as a queue
> > implementation?
> >
> > Thanks & Regards,
> > Vinod Kakad.
> >
>
>
>
> --
> --
> Sharninder
>
--
Regards
Vamsi Subhash
What kind of queue are you looking for? Kafka works as a nice FIFO queue by
default anyway.
On Mon, Mar 28, 2016 at 5:19 PM, Vinod Kakad wrote:
> Can anybody share any good example(code) for kafka as a queue
> implementation?
>
> Thanks & Regards,
> Vinod Kakad.
>
--
--
Sharninder
Can anybody share any good example(code) for kafka as a queue
implementation?
Thanks & Regards,
Vinod Kakad.
Thank you all for the comments. Yes, I understand concern from community
members with extra burden of having the complexity to drop message, but if
ability to inject implementation of the Queue which will make this
completely transparent to Kafka.
I just need fine-grained control of the applicati
Policies for which messages to drop, retain, etc seem like something you should
code in your application. I personally would not like to see this extra
complexity added to Kafka.
Philip
--
http://www.philipotoole.com
> On Aug 7, 2014, at 2:44 PM, Bhavesh Mistry
Basically, requirement is to support message dropping policy in event when
queue is full. When you get storm of data (in our case logging due to
buggy application code), we would like to retain current message instead of
first one in queue. We will mitigate this by rate limiting on producer
side
Is it possible there is another solution to the problem? I think if you
could better describe the problem(s) you are facing and how you are
architected some then you may get responses from others that perhaps have
faced the same problem with similar architectures ... or maybe folks can
chime in wit
Kafka Version: 0.8.x
1) Ability to define which messages get drooped (least recently instead of
most recent in queue)
2) Try Unbounded Queue to find out the Upper Limit without drooping any
messages for application (use case Stress test)
3) Priority Blocking Queue ( meaning a single Producer can
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