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  • py爬虫高性能用法

    多线程:python的线程是全局解释器锁,所有只能使用一个线程,但是在IO密集型操作可以提高效率。

    多进程:多进程适用于CPU密集的操作,但是比较浪费资源。

    协程:利用一个线程,切换执行某段程序。

    异步非阻塞:异步就是程序执行完成执行回调函数,非阻塞就是不等待,连不上就换下一个。

    对于多线程和多进行的缺点是在IO阻塞时会造成了线程和进程的浪费,所以异步IO是首选:

    asyncio模块示例1

    import asyncio
    
    
    @asyncio.coroutine
    def func1():
        print('before...func1......')
        yield from asyncio.sleep(5)
        print('end...func1......')
    
    
    tasks = [func1(), func1()]
    
    loop = asyncio.get_event_loop()
    loop.run_until_complete(asyncio.gather(*tasks))
    loop.close()

    asyncio模块示例2

    import asyncio
    
    
    @asyncio.coroutine
    def fetch_async(host, url='/'):
        print(host, url)
        reader, writer = yield from asyncio.open_connection(host, 80)
    
        request_header_content = """GET %s HTTP/1.0
    Host: %s
    
    """ % (url, host,)
        request_header_content = bytes(request_header_content, encoding='utf-8')
    
        writer.write(request_header_content)
        yield from writer.drain()
        text = yield from reader.read()
        print(host, url, text)
        writer.close()
    
    tasks = [
        fetch_async('www.cnblogs.com', '/wupeiqi/'),
        fetch_async('dig.chouti.com', '/pic/show?nid=4073644713430508&lid=10273091')
    ]
    
    loop = asyncio.get_event_loop()
    results = loop.run_until_complete(asyncio.gather(*tasks))
    loop.close()

    asyncio + aiohttp

    import asyncio
    
    
    @asyncio.coroutine
    def fetch_async(url):
        print(url)
        response = yield from aiohttp.request('GET', url)
        # data = yield from response.read()
        # print(url, data)
        print(url, response)
        response.close()
    
    
    tasks = [fetch_async('http://www.google.com/'), fetch_async('http://www.chouti.com/')]
    
    event_loop = asyncio.get_event_loop()
    results = event_loop.run_until_complete(asyncio.gather(*tasks))
    event_loop.close()

    asyncio + requests

    import asyncio
    import requests
    
    
    @asyncio.coroutine
    def fetch_async(func, *args):
        loop = asyncio.get_event_loop()
        future = loop.run_in_executor(None, func, *args)
        response = yield from future
        print(response.url, response.content)
    
    
    tasks = [
        fetch_async(requests.get, 'http://www.cnblogs.com/wupeiqi/'),
        fetch_async(requests.get, 'http://dig.chouti.com/pic/show?nid=4073644713430508&lid=10273091')
    ]
    
    loop = asyncio.get_event_loop()
    results = loop.run_until_complete(asyncio.gather(*tasks))
    loop.close()

    gevent + requests

    import gevent
    
    import requests
    from gevent import monkey
    
    monkey.patch_all()
    
    
    def fetch_async(method, url, req_kwargs):
        print(method, url, req_kwargs)
        response = requests.request(method=method, url=url, **req_kwargs)
        print(response.url, response.content)
    
    # ##### 发送请求 #####
    gevent.joinall([
        gevent.spawn(fetch_async, method='get', url='https://www.python.org/', req_kwargs={}),
        gevent.spawn(fetch_async, method='get', url='https://www.yahoo.com/', req_kwargs={}),
        gevent.spawn(fetch_async, method='get', url='https://github.com/', req_kwargs={}),
    ])
    
    # ##### 发送请求(协程池控制最大协程数量) #####
    # from gevent.pool import Pool
    # pool = Pool(None)
    # gevent.joinall([
    #     pool.spawn(fetch_async, method='get', url='https://www.python.org/', req_kwargs={}),
    #     pool.spawn(fetch_async, method='get', url='https://www.yahoo.com/', req_kwargs={}),
    #     pool.spawn(fetch_async, method='get', url='https://www.github.com/', req_kwargs={}),
    # ])

    grequests

    import grequests
    
    
    request_list = [
        grequests.get('http://httpbin.org/delay/1', timeout=0.001),
        grequests.get('http://fakedomain/'),
        grequests.get('http://httpbin.org/status/500')
    ]
    
    
    # ##### 执行并获取响应列表 #####
    # response_list = grequests.map(request_list)
    # print(response_list)
    
    
    # ##### 执行并获取响应列表(处理异常) #####
    # def exception_handler(request, exception):
    # print(request,exception)
    #     print("Request failed")
    
    # response_list = grequests.map(request_list, exception_handler=exception_handler)
    # print(response_list)

    Twisted示例

    from twisted.web.client import getPage, defer
    from twisted.internet import reactor
    
    
    def all_done(arg):
        reactor.stop()
    
    
    def callback(contents):
        print(contents)
    
    
    deferred_list = []
    
    url_list = ['http://www.bing.com', 'http://www.baidu.com', ]
    for url in url_list:
        deferred = getPage(bytes(url, encoding='utf8'))
        deferred.addCallback(callback)
        deferred_list.append(deferred)
    
    dlist = defer.DeferredList(deferred_list)
    dlist.addBoth(all_done)
    
    reactor.run()

    Tornado

    from tornado.httpclient import AsyncHTTPClient
    from tornado.httpclient import HTTPRequest
    from tornado import ioloop
    
    
    def handle_response(response):
        """
        处理返回值内容(需要维护计数器,来停止IO循环),调用 ioloop.IOLoop.current().stop()
        :param response: 
        :return: 
        """
        if response.error:
            print("Error:", response.error)
        else:
            print(response.body)
    
    
    def func():
        url_list = [
            'http://www.baidu.com',
            'http://www.bing.com',
        ]
        for url in url_list:
            print(url)
            http_client = AsyncHTTPClient()
            http_client.fetch(HTTPRequest(url), handle_response)
    
    
    ioloop.IOLoop.current().add_callback(func)
    ioloop.IOLoop.current().start()
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  • 原文地址:https://www.cnblogs.com/wangyufu/p/7754454.html
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