Multiple (asynchronous) connections with urllib2 o

问题:

I have code like this.

for p in range(1,1000):
    result = False
    while result is False:
        ret = urllib2.Request('http://server/?'+str(p))
        try:
            result = process(urllib2.urlopen(ret).read())
        except (urllib2.HTTPError, urllib2.URLError):
            pass
    results.append(result)

I would like to make two or three request at the same time to accelerate this. Can I use urllib2 for this, and how? If not which other library should I use? Thanks.

回答1:

You can use asynchronous IO to do this.

requests + gevent = grequests

GRequests allows you to use Requests with Gevent to make asynchronous HTTP Requests easily.

import grequests

urls = [
    'http://www.heroku.com',
    'http://tablib.org',
    'http://httpbin.org',
    'http://python-requests.org',
    'http://kennethreitz.com'
]

rs = (grequests.get(u) for u in urls)
grequests.map(rs)

回答2:

Take a look at gevent — a coroutine-based Python networking library that uses greenlet to provide a high-level synchronous API on top of libevent event loop.

Example:

#!/usr/bin/python
# Copyright (c) 2009 Denis Bilenko. See LICENSE for details.

"""Spawn multiple workers and wait for them to complete"""

urls = ['http://www.google.com', 'http://www.yandex.ru', 'http://www.python.org']

import gevent
from gevent import monkey

# patches stdlib (including socket and ssl modules) to cooperate with other greenlets
monkey.patch_all()

import urllib2


def print_head(url):
    print 'Starting %s' % url
    data = urllib2.urlopen(url).read()
    print '%s: %s bytes: %r' % (url, len(data), data[:50])

jobs = [gevent.spawn(print_head, url) for url in urls]

gevent.joinall(jobs)

回答3:

So, it's 2016