我编写了两个简单的应用程序，一个是原始的wsgi应用程序，如下所示，另一个是使用Flask构建的，并且都运行在gevent wsgi服务器上。
当应用程序中没有网络连接时，正如我预期的那样，原始wsgi应用程序比烧瓶应用程序更快，但是当应用程序中有一些网络连接时，原始wsgi应用程序比烧瓶应用程序慢得多。
import json
from gevent import monkey
monkey.patch_all() # monkey patch for both apps
import pymysql
conn = pymysql.connect(host=HOST,port=PORT,...,cursorclass=pymysql.cursors.DictCursor)
import requests
def application(environ, start_response):
# database connection
cur = conn.cursor()
cur.execute('select * from food')
res = cur.fetchall()
# requests
resp = requests.get('http://www.baidu.com')
start_response('200 OK', [('Content-Type', 'application')])
return json.dumps(res)
# return resp.content
from gevent.wsgi import WSGIServer
http_server = WSGIServer(('', 8080), application)
http_server.serve_forever()
from gevent import monkey
monkey.patch_all()
import json
from flask import Flask
app = Flask(__name__)
conn = pymysql.connect(host=HOST,port=PORT,...,cursorclass=pymysql.cursors.DictCursor)
@app.route('/')
def index():
# database connection
cur = conn.cursor()
cur.execute('select * from food')
res = cur.fetchall()
# requests
resp = requests.get('http://www.baidu.com')
return json.dumps(res), 200
from gevent.wsgi import WSGIServer
http_server = WSGIServer(('', 8080), app)
http_server.serve_forever()
我使用ab进行基准测试：
$ ab -c10 -n10000 http://127.0.0.1:8080/
这是原始的wsgi app结果：
Concurrency Level: 10
Time taken for tests: 306.216 seconds
Requests per second: 1.52 [#/sec] (mean)
Time per request: 6585.299 [ms] (mean)
Time per request: 658.530 [ms] (mean, across all concurrent requests)
Connection Times (ms)
min mean[+/-sd] median max
Connect: 0 0 0.4 0 7
Processing: 1084 6499 3050.3 5951 15963
Waiting: 96 5222 3051.4 4577 15096
Total: 1085 6500 3050.2 5951 15963
Percentage of the requests served within a certain time (ms)
50% 5938
66% 7584
75% 8597
80% 9186
90% 10829
95% 12033
98% 13209
99% 14722
100% 15963 (longest request)
和烧瓶应用程序：
Concurrency Level: 10
Time taken for tests: 19.909 seconds
Requests per second: 502.28 [#/sec] (mean)
Time per request: 19.909 [ms] (mean)
Time per request: 1.991 [ms] (mean, across all concurrent requests)
Connection Times (ms)
min mean[+/-sd] median max
Connect: 0 0 0.0 0 2
Processing: 3 20 9.0 19 87
Waiting: 2 20 8.9 19 86
Total: 3 20 9.0 19 87
Percentage of the requests served within a certain time (ms)
50% 19
66% 23
75% 25
80% 27
90% 31
95% 36
98% 41
99% 45
100% 87 (longest request)
所以我想知道烧瓶做了什么，我怎么做才能更快地使用没有框架的简单wsgi应用程序？
答案 0 :(得分：1)
我认为你的问题不存在。您所犯的最大错误是引入了IO部分（网络IO和磁盘IO），这与Web框架的性能无关。
为了证明这一点，我将你的演示简化为：
import json
from gevent import monkey
monkey.patch_all() # monkey patch for both apps
def application(environ, start_response):
res = dict(hello='world')
start_response('200 OK', [('Content-Type', 'application')])
return json.dumps(res)
from gevent.wsgi import WSGIServer
http_server = WSGIServer(('', 8088), application)
http_server.serve_forever()
和
from gevent import monkey
monkey.patch_all()
import json
from flask import Flask
app = Flask(__name__)
@app.route('/')
def index():
res = dict(hello='world')
return json.dumps(res), 200
from gevent.wsgi import WSGIServer
http_server = WSGIServer(('', 8088), app)
http_server.serve_forever()
原始WSGI的结果是：
Connection Times (ms)
min mean[+/-sd] median max
Connect: 0 0 0.1 0 5
Processing: 1 5 0.7 5 23
Waiting: 1 5 0.7 5 23
Total: 1 6 0.7 5 24
WARNING: The median and mean for the total time are not within a normal deviation
These results are probably not that reliable.
Percentage of the requests served within a certain time (ms)
50% 5
66% 6
75% 6
80% 6
90% 6
95% 6
98% 7
99% 8
100% 24 (longest request)
对于Flask来说：
Connection Times (ms)
min mean[+/-sd] median max
Connect: 0 0 0.0 0 1
Processing: 1 6 0.6 6 11
Waiting: 1 6 0.6 6 11
Total: 2 6 0.6 6 11
Percentage of the requests served within a certain time (ms)
50% 6
66% 6
75% 6
80% 6
90% 7
95% 7
98% 7
99% 8
100% 11 (longest request)
忽略最长的1％请求，您可以发现原始WSGI比Flask快20％，这似乎是合理的。