We've seen big performace degradation when we tested 1024 topics, so we've
opted to go for a much smaller topic count (< 100).
On the read side, I think performance is largely driven by the ability of
the operating system to effectively cache access to #partitions*topic
files. Clearly if you divid
With more topics, you may hit one of those limits: (1) # dirs allowed in a
FS; (2) open file handlers (we keep all log segments open in the broker);
(3) ZK nodes.
Thanks,
Jun
On Wed, Mar 27, 2013 at 8:36 AM, Jason Huang wrote:
> Just curious - I don't see any limit in the # of topics that you
Just curious - I don't see any limit in the # of topics that you can
have in a Kafka cluster.
So in principle, you could have as many topics as you want, so long as
your hardware can keep up, right?
Jason
On Wed, Mar 27, 2013 at 11:33 AM, Jun Rao wrote:
> At LinkedIn, our largest cluster has mo
At LinkedIn, our largest cluster has more than 2K topics. 5K topics should
be fine.
Thanks,
Jun
On Tue, Mar 26, 2013 at 11:52 PM, Suyog Rao wrote:
> Hello,
>
> Wanted to check if there is any known limit on the # of topics in a Kafka
> cluster? I wanted to design a system which has say 5k topi
Hello,
Wanted to check if there is any known limit on the # of topics in a Kafka
cluster? I wanted to design a system which has say 5k topics and
multi-threaded consumers reading messages from these topics. Does anyone
have experience with such large topic size? I see in Kafka's page a test
for th
