That depends on the data and your consumers. It’s not necessarily an issue at 
all. That said, we prefer to have consumers read off a single topic but our 
data is high frequency and easily hashed across partitions so we have hundreds 
of consumers reading off some topics.

I would try to partition your topics on some key that gives you a balance 
across consumers before deciding that you need hundreds of topics.



> On Jul 11, 2016, at 1:58 AM, Vladi Feigin <vla...@liveperson.com> wrote:
> 
> thank you for the answer
> 
> Is there any kind of limit on a number of topics in Kafka?
> If one consumer (can not do more than one consumer in a group) reads lets say 
> 100 topics it can be an issue, isn't it?
> 
> 
> 
> On Sun, Jul 10, 2016 at 6:53 PM, <r...@chartbeat.com 
> <mailto:r...@chartbeat.com>> wrote:
> Without knowing much else about your requirements - Yes, your consumers 
> should not be listening to topics they are not interested in. There's nothing 
> wrong with having more topics.
> 
> > On Jul 10, 2016, at 10:37 AM, Vladi Feigin <vla...@liveperson.com 
> > <mailto:vla...@liveperson.com>> wrote:
> >
> > Hi All,
> >
> > Will appreciate if you share your thoughts based on your experience
> > regarding the following question:
> > What's a recommended strategy for Kafka multiple topics?
> > We have just a few topics and hundreds of event types and a lot of producers
> > Having just a few topics causes our consumers (many of them just need a
> > couple of event types to process) to work very hard
> > So we're planing moving to multi-topics
> > Do you think having hundreds of topics (topic per event type) is a good
> > approach?
> > Or maybe is better to create topic per a group of event types based on a
> > business relationship?
> >
> >
> > Thank you in advance,
> > Vladi
> >
> > --
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> 
> 
> --
> 
> Vladi Feigin
> R&D System Architect
> T: +972-74-700-4376
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