Yeah, scaling through adding partitions ("sharding") is a basic feature of
Kafka.
We expect topics to have many partitions (at least as many as number of
consumers), and each consumer to get a subset of the messages by getting a
subset of partitions.

This design gives Kafka its two biggest advantages:
1. Order guarantee - consumers are guaranteed to get messages in order
because they are reading from a subset of partitions in order (rather than
getting a mix of messages from different partitions)
2. Scalability - because we just need to track the last message each
consumer read from each partition (and we know it consumed everything that
came before, due to #1), we can scale to huge number of consumers and
partitions without worrying about overhead of worrying about who got which
message. This is the biggest different between Kafka and JMS queues.

Hope this helps.

Gwen

On Thu, Sep 3, 2015 at 9:49 AM, Joris Peeters <j.peet...@wintoncapital.com>
wrote:

> I imagine this has been asked before, but I have googled around quite a
> bit and can’t really find a clear answer. Apologies in advance, though ..
>
>
>
> I’m interested in Kafka setups that allow for competing customers. I’ll
> have one topic where a lot of messages get published to, and I’d like to be
> able to (dynamically, eventually) fire up services to take messages of the
> queue and process them. Obviously, I’d expect each of the services to see
> consume only a subset of the messages.
>
>
>
> Do I understand correctly that I would need multiple partitions for this?
> I’ve been messing around a bit with a one topic/one partition setup, but
> all consumers receive the same (and total amount of) messages.
>
>
>
> Do all the clients support this? I’ve currently got the option between C#,
> Java and Python, more or less. (I expect the Java one to be most
> feature-complete).
>
>
>
> Thanks!
>
>
>
> *Joris Peeters*
>
> Developer
>
>
>
> *Research and Data Technology*
>
> T:
>
> +44 (0) 20 8576 5800
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>
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