• 多线程发送请求方式对比


    在编写爬虫时,性能的消耗主要在IO请求中,当单进程单线程模式下请求URL时必然会引起等待,从而使得请求整体变慢。

    1. 同步执行import requests

    def fetch_async(url):
    response = requests.get(url)
    return response


    url_list = ['http://www.github.com', 'http://www.bing.com']

    for url in url_list:
    fetch_async(url)

    2. 多线程执行(多个线程并发执行,时间长短取决于最长的URL请求)from concurrent.futures import ThreadPoolExecutor
    import requests


    def fetch_async(url):
    response = requests.get(url)
    return response


    url_list = ['http://www.github.com', 'http://www.bing.com']
    pool = ThreadPoolExecutor(5)
    for url in url_list:
    pool.submit(fetch_async, url)
    pool.shutdown(wait=True)

    3. 多进程执行(在CPU核心数足够的情况下,多个进程并行执行,时间长短取决于最长的URL请求,理论上会快于多线程)from concurrent.futures import ProcessPoolExecutor
    import requests

    def fetch_async(url):
    response = requests.get(url)
    return response


    url_list = ['http://www.github.com', 'http://www.bing.com']
    pool = ProcessPoolExecutor(5)
    for url in url_list:
    pool.submit(fetch_async, url)
    pool.shutdown(wait=True)

    4. 多线程+回调函数(实现了异步非阻塞,在IO等待的情况下可以做其它事情)from concurrent.futures import ThreadPoolExecutor
    import requests

    def fetch_async(url):
    response = requests.get(url)
    return response


    def callback(future):
    print(future.result())


    url_list = ['http://www.github.com', 'http://www.bing.com']
    pool = ThreadPoolExecutor(5)
    for url in url_list:
    v = pool.submit(fetch_async, url)
    v.add_done_callback(callback)
    pool.shutdown(wait=True)

    5. 多进程+回调函数(实现了异步非阻塞,在IO等待的情况下可以做其它事情)from concurrent.futures import ProcessPoolExecutor
    import requests


    def fetch_async(url):
    response = requests.get(url)
    return response


    def callback(future):
    print(future.result())


    url_list = ['http://www.github.com', 'http://www.bing.com']
    pool = ProcessPoolExecutor(5)
    for url in url_list:
    v = pool.submit(fetch_async, url)
    v.add_done_callback(callback)
    pool.shutdown(wait=True)通过上述代码均可以完成对请求性能的提高,对于多线程和多进程的缺点是在IO阻塞时会造成了线程和进程的浪费,所以异步IO会是首选:

    1. asyncio示例一
    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()

    2. asyncio示例二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()

    3. asyncio + aiohttpimport 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()

    4. asyncio + requestsimport 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()
    5. gevent + requestsimport 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={}),
    # ])
    6. grequests(封装的 gevent + requests)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)
    7. 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()
    8. Tornadofrom 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()
    9. Twisted更多from twisted.internet import reactor
    from twisted.web.client import getPage
    import urllib.parse


    def one_done(arg):
    print(arg)
    reactor.stop()

    post_data = urllib.parse.urlencode({'check_data': 'adf'})
    post_data = bytes(post_data, encoding='utf8')
    headers = {b'Content-Type': b'application/x-www-form-urlencoded'}
    response = getPage(bytes('http://dig.chouti.com/login', encoding='utf8'),
    method=bytes('POST', encoding='utf8'),
    postdata=post_data,
    cookies={},
    headers=headers)
    response.addBoth(one_done)

    reactor.run()以上均是Python内置以及第三方模块提供异步IO请求模块,使用简便大大提高效率,而对于异步IO请求的本质则是【非阻塞Socket】+【IO多路复用】: import select
    import socket
    import time


    class AsyncTimeoutException(TimeoutError):
    """
    请求超时异常类
    """

    def __init__(self, msg):
    self.msg = msg
    super(AsyncTimeoutException, self).__init__(msg)


    class HttpContext(object):
    """封装请求和相应的基本数据"""

    def __init__(self, sock, host, port, method, url, data, callback, timeout=5):
    """
    sock: 请求的客户端socket对象
    host: 请求的主机名
    port: 请求的端口
    port: 请求的端口
    method: 请求方式
    url: 请求的URL
    data: 请求时请求体中的数据
    callback: 请求完成后的回调函数
    timeout: 请求的超时时间
    """
    self.sock = sock
    self.callback = callback
    self.host = host
    self.port = port
    self.method = method
    self.url = url
    self.data = data

    self.timeout = timeout

    self.__start_time = time.time()
    self.__buffer = []

    def is_timeout(self):
    """当前请求是否已经超时"""
    current_time = time.time()
    if (self.__start_time + self.timeout) < current_time:
    return True

    def fileno(self):
    """请求sockect对象的文件描述符,用于select监听"""
    return self.sock.fileno()

    def write(self, data):
    """在buffer中写入响应内容"""
    self.__buffer.append(data)

    def finish(self, exc=None):
    """在buffer中写入响应内容完成,执行请求的回调函数"""
    if not exc:
    response = b''.join(self.__buffer)
    self.callback(self, response, exc)
    else:
    self.callback(self, None, exc)

    def send_request_data(self):
    content = """%s %s HTTP/1.0 Host: %s %s""" % (
    self.method.upper(), self.url, self.host, self.data,)

    return content.encode(encoding='utf8')


    class AsyncRequest(object):
    def __init__(self):
    self.fds = []
    self.connections = []

    def add_request(self, host, port, method, url, data, callback, timeout):
    """创建一个要请求"""
    client = socket.socket()
    client.setblocking(False)
    try:
    client.connect((host, port))
    except BlockingIOError as e:
    pass
    # print('已经向远程发送连接的请求')
    req = HttpContext(client, host, port, method, url, data, callback, timeout)
    self.connections.append(req)
    self.fds.append(req)

    def check_conn_timeout(self):
    """检查所有的请求,是否有已经连接超时,如果有则终止"""
    timeout_list = []
    for context in self.connections:
    if context.is_timeout():
    timeout_list.append(context)
    for context in timeout_list:
    context.finish(AsyncTimeoutException('请求超时'))
    self.fds.remove(context)
    self.connections.remove(context)

    def running(self):
    """事件循环,用于检测请求的socket是否已经就绪,从而执行相关操作"""
    while True:
    r, w, e = select.select(self.fds, self.connections, self.fds, 0.05)

    if not self.fds:
    return

    for context in r:
    sock = context.sock
    while True:
    try:
    data = sock.recv(8096)
    if not data:
    self.fds.remove(context)
    context.finish()
    break
    else:
    context.write(data)
    except BlockingIOError as e:
    break
    except TimeoutError as e:
    self.fds.remove(context)
    self.connections.remove(context)
    context.finish(e)
    break

    for context in w:
    # 已经连接成功远程服务器,开始向远程发送请求数据
    if context in self.fds:
    data = context.send_request_data()
    context.sock.sendall(data)
    self.connections.remove(context)

    self.check_conn_timeout()


    if __name__ == '__main__':
    def callback_func(context, response, ex):
    """
    :param context: HttpContext对象,内部封装了请求相关信息
    :param response: 请求响应内容
    :param ex: 是否出现异常(如果有异常则值为异常对象;否则值为None)
    :return:
    """
    print(context, response, ex)

    obj = AsyncRequest()
    url_list = [
    {'host': 'www.google.com', 'port': 80, 'method': 'GET', 'url': '/', 'data': '', 'timeout': 5,
    'callback': callback_func},
    {'host': 'www.baidu.com', 'port': 80, 'method': 'GET', 'url': '/', 'data': '', 'timeout': 5,
    'callback': callback_func},
    {'host': 'www.bing.com', 'port': 80, 'method': 'GET', 'url': '/', 'data': '', 'timeout': 5,
    'callback': callback_func},
    ]
    for item in url_list:
    print(item)
    obj.add_request(**item)

    obj.running()

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  • 原文地址:https://www.cnblogs.com/niansi/p/7502482.html
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