[rabbitmq-discuss] Performance on ec2

[Alexis Richardson]

Posting Srdan's latest numbers showing how RabbitMQ 2.8.6 does better

http://blog.burtcorp.com/post/30859143735/load-testing-rabbitmq-2-8-6



On Mon, Jan 23, 2012 at 5:45 PM, Matthew Sackman <matthew at rabbitmq.com> wrote:
> Hi Srdan,
>
> In short, "yes, that's about it", especially on EC2. It would be worth
> checking your results with the hipe_compile option turned on with the
> latest Rabbit (2.7.1) and the latest Erlang (R15B). Search for
> hipe_compile on http://www.rabbitmq.com/configure.html
>
> Over loopback, with very very small message payloads, with hipe turned
> on, Rabbit can read off a single socket and throw the data away (i.e.
> no bindings from an exchange) at somewhere around 100kHz. Obviously
> depending on hardware. Also that figure might be a little old these
> days. As payload increases, and non-loopback, and non-hipe, and EC2
> issues, plus actually doing something with the messages such sending
> them first into queues, buffering them, and then sending them out to
> consumers, an overall throughput of around 20kHz is not unexpected.
>
> When we do a simple one-publisher, one-queue, one-consumer benchmark,
> until recently, the figures were something like 16kHz with 1-ack per
> message (no qos) and 25kHz with noAck turned on (autoack). Those figures
> are both in and out - i.e. 25kHz msgs in, and 25kHz msgs out. It's only
> due to a bunch of quite recent optimisations and getting hipe to work
> for us that those figures have improved a bit.
>
> If increasing publishing rate decreases consuming rate then you've hit a
> bottleneck somewhere. Either your CPUs are maxed out (or, if not then
> there must somewhere be some other reason why Rabbit can't utilise more
> CPU) or you've hit a network bottleneck or a disk bottleneck or
> something else.
>
> On a single machine, I'd be surprised if you can get close to 100kHz.
> Across a cluster it should be possible provided the load is spread
> across all the machines - don't forget a queue is a single process on a
> single node within the cluster so the maximum speed of an individual
> queue is determined by the speed of a single core on one machine. Thus
> if you need to go faster than a single core, then you have to spread the
> load across multiple queues. Once you max out the cores on a single
> machine, you'll need to go to multiple nodes.
>
> Matthew
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