我有一个基于paste.httpserver的web服务器作为HTTP和WSGI之间的适配器。当我使用httperf进行性能测量时,如果每次使用--num-conn启动一个新请求,我每秒可以执行1000多个请求。如果我改为使用--num调用重用连接,那么我每秒可以获得11个请求,速度的1/100。
如果我尝试ab,我会超时。
我的测试是
% ./httperf --server localhost --port 8080 --num-conn 100
...
Request rate: 1320.4 req/s (0.8 ms/req)
...
% ./httperf --server localhost --port 8080 --num-call 100
...
Request rate: 11.2 req/s (89.4 ms/req)
...
这是一个简单的可复制服务器
from paste import httpserver
def echo_app(environ, start_response):
n = 10000
start_response("200 Ok", [("Content-Type", "text/plain"),
("Content-Length", str(n))])
return ["*" * n]
httpserver.serve(echo_app, protocol_version="HTTP/1.1")
这是一个多线程服务器,很难分析。这里有一个单线程的变体:
from paste import httpserver
class MyHandler(httpserver.WSGIHandler):
sys_version = None
server_version = "MyServer/0.0"
protocol_version = "HTTP/1.1"
def log_request(self, *args, **kwargs):
pass
def echo_app(environ, start_response):
n = 10000
start_response("200 Ok", [("Content-Type", "text/plain"),
("Content-Length", str(n))])
return ["*" * n]
# WSGIServerBase is single-threaded
server = httpserver.WSGIServerBase(echo_app, ("localhost", 8080), MyHandler)
server.handle_request()
用
% python2.6 -m cProfile -o paste.prof paste_slowdown.py
然后用
%httperf --client=0/1 --server=localhost --port=8080 --uri=/ \
--send-buffer=4096 --recv-buffer=16384 --num-conns=1 --num-calls=500
>>> p=pstats.Stats("paste.prof")
>>> p.strip_dirs().sort_stats("cumulative").print_stats()
Sun Nov 22 21:31:57 2009 paste.prof
109749 function calls in 46.570 CPU seconds
Ordered by: cumulative time
ncalls tottime percall cumtime percall filename:lineno(function)
1 0.000 0.000 46.571 46.571 {execfile}
1 0.001 0.001 46.570 46.570 paste_slowdown.py:2(<module>)
1 0.000 0.000 46.115 46.115 SocketServer.py:250(handle_request)
1 0.000 0.000 44.675 44.675 SocketServer.py:268(_handle_request_noblock)
1 0.000 0.000 44.675 44.675 SocketServer.py:301(process_request)
1 0.000 0.000 44.675 44.675 SocketServer.py:318(finish_request)
1 0.000 0.000 44.675 44.675 SocketServer.py:609(__init__)
1 0.000 0.000 44.675 44.675 httpserver.py:456(handle)
1 0.001 0.001 44.675 44.675 BaseHTTPServer.py:325(handle)
501 0.006 0.000 44.674 0.089 httpserver.py:440(handle_one_request)
2001 0.020 0.000 44.383 0.022 socket.py:373(readline)
501 44.354 0.089 44.354 0.089 {method 'recv' of '_socket.socket' objects}
1 1.440 1.440 1.440 1.440 {select.select}
....
您可以看到,几乎所有的时间都在recv中。
我决定放弃httpref,编写自己的HTTP/1.1-with-keep-alive请求,并使用netcat发送它:
GET / HTTP/1.1
Location: localhost
Connection: Keep-Alive
Content-Length: 0
GET / HTTP/1.1
Location: localhost
Connection: Keep-Alive
Content-Length: 0
... repeat 97 more times, to have 99 keep-alives in total ...
GET / HTTP/1.1
Location: localhost
Connection: Close
Content-Length: 0
nc localhost 8080 < ~/src/send_to_paste.txt
100个请求的总时间为0.03秒,因此性能非常好。
% ab -n 100 -k localhost:8080/
This is ApacheBench, Version 1.3d <$Revision: 1.73 $> apache-1.3
Copyright (c) 1996 Adam Twiss, Zeus Technology Ltd, http://www.zeustech.net/
Copyright (c) 2006 The Apache Software Foundation, http://www.apache.org/
Benchmarking localhost (be patient)...
Server timed out
: Operation now in progress
检测服务器时,它处理一个请求并等待第二个请求。
知道发生了什么吗?