Tornado使用-队列Queue

1.tornado队列的特点

和python标准队列queue相比，tornado的队列Queue支持异步

2.Queue常用方法

Queue.get()

会暂停，直到queue中有元素

Queue.put()

对有最大长度限制的队列，会暂停，直到队列有空闲空间

Queue.task_done()

对每一个get元素，紧接着调用task_done()，表示这个任务执行完毕

Queue.join()

等待，直到所有任务都执行完毕，即所有元素都调用了task_done()

3.示例

给出一个地址http://www.tornadoweb.org/en/stable/，分析页面中所有以这个url为前缀的链接，

并依次访问，解析，直到找出所有的url

#!/usr/bin/env python

import time
from datetime import timedelta

try:
    from HTMLParser import HTMLParser
    from urlparse import urljoin, urldefrag
except ImportError:
    from html.parser import HTMLParser
    from urllib.parse import urljoin, urldefrag

from tornado import httpclient, gen, ioloop, queues

base_url = 'http://www.tornadoweb.org/en/stable/'
concurrency = 10

@gen.coroutine
def get_links_from_url(url):
    """Download the page at `url` and parse it for links.

    Returned links have had the fragment after `#` removed, and have been made
    absolute so, e.g. the URL 'gen.html#tornado.gen.coroutine' becomes
    'http://www.tornadoweb.org/en/stable/gen.html'.
    """
    try:
        response = yield httpclient.AsyncHTTPClient().fetch(url)
        print('fetched %s' % url)

        html = response.body if isinstance(response.body, str) \
            else response.body.decode()
        urls = [urljoin(url, remove_fragment(new_url))
                for new_url in get_links(html)]
    except Exception as e:
        print('Exception: %s %s' % (e, url))
        raise gen.Return([])

    raise gen.Return(urls)

def remove_fragment(url):
    pure_url, frag = urldefrag(url)
    return pure_url

def get_links(html):
    class URLSeeker(HTMLParser):
        def __init__(self):
            HTMLParser.__init__(self)
            self.urls = []

        def handle_starttag(self, tag, attrs):
            href = dict(attrs).get('href')
            if href and tag == 'a':
                self.urls.append(href)

    url_seeker = URLSeeker()
    url_seeker.feed(html)
    return url_seeker.urls

@gen.coroutine
def main():
    q = queues.Queue()
    start = time.time()
    fetching, fetched = set(), set()

    @gen.coroutine
    def fetch_url():
        current_url = yield q.get()
        try:
            if current_url in fetching:
                return

            print('fetching %s' % current_url)
            fetching.add(current_url)
            urls = yield get_links_from_url(current_url)
            fetched.add(current_url)

            for new_url in urls:
                # Only follow links beneath the base URL
                if new_url.startswith(base_url):
                    yield q.put(new_url)

        finally:
            q.task_done()

    @gen.coroutine
    def worker():
        while True:
            yield fetch_url()

    q.put(base_url)

    # Start workers, then wait for the work queue to be empty.
    for _ in range(concurrency):
        worker()
    yield q.join(timeout=timedelta(seconds=300))
    assert fetching == fetched
    print('Done in %d seconds, fetched %s URLs.' % (
        time.time() - start, len(fetched)))

if __name__ == '__main__':
    import logging
    logging.basicConfig()
    io_loop = ioloop.IOLoop.current()
    io_loop.run_sync(main)

运行结果：

fetching http://www.tornadoweb.org/en/stable/

fetched http://www.tornadoweb.org/en/stable/

......

fetched http://www.tornadoweb.org/en/stable/_modules/index.html

fetched http://www.tornadoweb.org/en/stable/_modules/tornado/util.html

Done in 11 seconds, fetched 122 URLs.

使用yield，当队列有元素时，q.get()会执行

for _ in range(concurrency): worker()

可以大幅提高效率，原因在于get_links_from_url网络IO会占用较多执行时间，多个异步任务可以并行访问网络io，大大提高了效率。

q.join()会阻塞主程序，直到队列所有的任务都执行完毕