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system:benches10gbps:direct [2012/10/02 15:34] ze inject -p 24 |
system:benches10gbps:direct [2012/10/04 13:16] (current) ze add httpterm benches |
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What if we decided to split IRQ on a few CPU, and workers on other CPU. | What if we decided to split IRQ on a few CPU, and workers on other CPU. | ||
+ | |||
+ | By checking informations from | ||
+ | ''/sys/bus/cpu/devices/cpu*/topology/{core,thread}_siblings_list'', we get some | ||
+ | idea how the CPU are regarding to threads and processors : | ||
+ | |||
+ | ^ CPU ^ processor ^ core ^ thread ^ | ||
+ | | 0-5 | 0 | 0-5 | 0 | | ||
+ | | 6-11 | 1 | 0-5 | 0 | | ||
+ | | 12-17 | 0 | 0-5 | 1 | | ||
+ | | 18-23 | 1 | 0-5 | 1 | | ||
How to split ? Lets try differents splitting. | How to split ? Lets try differents splitting. | ||
Line 278: | Line 288: | ||
Ok, we can hold 236k connections per second, without hitting any limit | Ok, we can hold 236k connections per second, without hitting any limit | ||
in any log. | in any log. | ||
+ | |||
+ | ===== about client ===== | ||
+ | |||
+ | Bench for server was done with a patched version of inject that pinned | ||
+ | each process to a single cpu, and gathered network interrupts gathered | ||
+ | on a few cpu. This was what gave the best result at a time, but further | ||
+ | client test shows it's not optimal. | ||
====== Client ====== | ====== Client ====== | ||
Line 358: | Line 375: | ||
241193 hits/s | 241193 hits/s | ||
+ | ====== dual ====== | ||
+ | |||
+ | To check on which side we have a bottle neck, lets try to have 2 | ||
+ | servers, or 2 clients. | ||
+ | |||
+ | Tests done with the lastest configurations (client and server) which | ||
+ | could give 240k hits/s. | ||
+ | |||
+ | ===== dual servers ===== | ||
+ | |||
+ | We get a second server with the same configuration, and checked it also | ||
+ | can handle the 240k/s. Then, we change the scenario to hit the 24 IPs | ||
+ | from both servers. | ||
+ | |||
+ | New input file: dual-24.txt | ||
+ | new page0a 0 | ||
+ | get 10.128.0.0:80 / | ||
+ | new page0b 0 | ||
+ | get 10.132.0.0:80 / | ||
+ | new page1a 0 | ||
+ | get 10.128.0.1:80 / | ||
+ | new page1b 0 | ||
+ | get 10.132.0.1:80 / | ||
+ | [...] | ||
+ | new page23a 0 | ||
+ | get 10.128.0.23:80 / | ||
+ | new page23b 0 | ||
+ | get 10.132.0.23:80 / | ||
+ | |||
+ | /root/inject -p 24 -d 60 -u 500 -s 20 -f dual-24.txt -S 10.140.0.0-10.140.15.255:1024-65535 | ||
+ | 401391 hits/s | ||
+ | |||
+ | Though the client seems to use all its CPU for 240k/s, it still can go | ||
+ | up and handle 400k hits/s. The bottle neck is probably not really on | ||
+ | that side. | ||
+ | |||
+ | ===== dual client ===== | ||
+ | |||
+ | We get a second client with the same configuration, and checked it also | ||
+ | can generate the 240k/s. | ||
+ | |||
+ | To launch both clients at the same time, cssh is very nice :) | ||
+ | |||
+ | /root/inject -p 24 -d 60 -u 500 -s 20 -f small-24.txt -S 10.140.0.0-10.140.15.255:1024-65535 | ||
+ | 123016 hits/s | ||
+ | 121312 hits/s | ||
+ | total: 244328 hits/s | ||
+ | |||
+ | Ok, client is clearly not the limitation, as with two clients, we get | ||
+ | the same total. | ||
====== conclusions ====== | ====== conclusions ====== | ||
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* 240k connections / seconds is doable with a single host | * 240k connections / seconds is doable with a single host | ||
+ | For some unknown reason (at the time of writing that documentation), the | ||
+ | connections highly drops for 1-2s, as can be seen on | ||
+ | [[http://www.hagtheil.net/files/system/benches10gbps/direct/bench-bad/nginx-bad/elastiques-nginx/|bench-bad/nginx-bad]] | ||
+ | graphs. I tried to avoid using results triggering such behaviour. Any ideas/hints on what could produce such are welcome. | ||
+ | |||
+ | ====== post-bench ====== | ||
+ | |||
+ | After publishing the first benches, someone adviced to use httpterm, instead of nginx. Unlike nginx, httpterm is aimed at only doing stress bench, and not serve real pages. | ||
+ | |||
+ | Bench using multi-process httpterm directly shows some bug. It still sends header, but fails to send data. Getting down to 1 process keep it running, but obviously not using all cores. | ||
+ | |||
+ | As we have 16 core for the web server, so 16 process with 1 IP each were launched, pinned with taskset on a cpu each. | ||
+ | |||
+ | file-0.cfg: | ||
+ | # taskset 000010 ./httpterm -D -f file-0.cfg | ||
+ | global | ||
+ | maxconn 30000 | ||
+ | ulimit-n 500000 | ||
+ | nbproc 1 | ||
+ | quiet | ||
+ | | ||
+ | listen proxy1 10.128.0.0:80 | ||
+ | object weight 1 name test1 code 200 size 200 | ||
+ | clitimeout 10000 | ||
+ | |||
+ | That gives up more connections per seconds: 278765 | ||
+ | |||
+ | |||
+ | That helps get even more requests per seconds, but we still get some stall at times. | ||