Hi again.<div><br></div><div>The traffic rate hit almost 9000/s if the "RPC" queue is non-HA.</div><div>Could someone explain a little bit why HA impact the throughput that much?</div><div><br></div><div>BRs</div>
<div>/stone<br><br><div class="gmail_quote">On Wed, Mar 28, 2012 at 9:23 PM, stone <span dir="ltr"><<a href="mailto:zmstone@gmail.com">zmstone@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
Hi<div><br></div><div>I have a use case which is very similar to RPC:</div><div>The clients subscribe to their own queues bound to routing key "response.myname",�</div><div>and they publish messages with routing key "request.myname", then wait for response.</div>
<div><br></div><div>On the other side of the broker, there is this RPC queue, bound to routing key "request.#",</div><div>many workers consume from this queue, process the messages then send back response.</div>
<div><br></div><div>The request size is around 10K bytes, response is just few bytes, and all "RPC"s are synchronized calls.</div><div>i.e. client wait for response before send another request.</div><div><br></div>
<div>After some benchmark tests, we found that the message rate of the RPC queue hits around 1400.</div><div>It doesn't help by increasing the number of publishers or consumers, or both.</div><div><br></div><div>Hope it's enough background info to finally ask my question:</div>
<div>what could possibly be the bottleneck in my tests, and how to get higher throughput ?</div><div><br></div><div>-----------------env-------------------</div><div>Rabbit version:�2.7.1</div><div>Memory high watermark: 25G</div>
<div>CPU (24 processors) model: Intel(R) Xeon(R) CPU X5690 �@ 3.47GH�</div><div><br></div><div>BRs</div><span class="HOEnZb"><font color="#888888"><div>/stone</div><div><br></div>
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