爬虫提高性能:串行、线程进程、异步非阻塞

- 高性能相关模块:	
	- gevent		# 源码用C实现
	- twisted		# 用的比较多,源码用python实现
	- tornado		# 源码用python实现
	- ayncio		# 源码用C实现
	- 	现象:一个线程实现并发请求
		本质:socket+IO多路复用

问:10个URL,爬虫获取到数据?

一、 串行

url_list = [
	'http://www.cnblogs.com/xuyaping/p/7667055.html',
	'http://www.baidu.com',
	'http://www.xiaohuar.com',
]
import requests

# 1.串行(6s,用了一个线程或进程)
for url in url_list:
	response = requests.get(url)
	print(response.content)

二、 线程、进程

# 2.线程,进程。耗费资源提高网络请求。(3s,用了3个线程或进程)
# 不是创建越多的线程和进程就好,线程之间的切换耗时,效率很低。使用线程池
from concurrent.futures import ThreadPoolExecutor,ProcessPoolExecutor   # ThreadPoolExecutor线程池,ProcessPoolExecutor进程池
# python2中没ThreadPoolExecutor线程池

def tast(url):
	response = requests.get(url)
	print(response.content)

pool = ThreadPoolExecutor(10)     #最多10个线程
# pool = ProcessPoolExecutor(10)   # pool改为pool = ProcessPoolExecutor(10)就是进程池了

for url in url_list:
	pool.submit(tast,url)       # tast为函数名,url为参数。去线程池中获取一个线程,执行tast函数
pool.shutdown(wait=True)        # 等待上面的线程都执行完再往下走

三、 异步非阻塞

# 3.异步非阻塞的方式:本质是socket。
# 异步:回调,执行完后再回调这个函数。
# 非阻塞:不等。创建socket对象,连接,发送数据,接收数据一气呵成的,不等每个操作是否执行完毕。
# 阻塞:100个请求,向远程发连接,每个请求先执行connect,连接成功才能发送,连接的时候是堵塞的,第一个url连接,第二个等着第一个处理完。
# 并且第一个连接也要等着,等着发消息,等连接成功才能发消息,然后返回结果。
# client = socket();client.connet(ip,端口)
# 非阻塞:第一个url来了,发连接,发过去不等,往下走要发送消息,但这时候发送消息可能会失败,因为可能还未连接成功,可能会报错,然后紧接着收消息,收不到报错。
# 所以单纯给socket设置上非阻塞一定会报错,所以这里非阻塞指的不是排队这个,而是一个url来了后是否阻塞。
# client = socket(); client.setblocking(False); client.connet(ip,端口)
# 异步非阻塞的方式:100个url请求同时进行,先不发消息,全部只连接,当其中有url请求连接成功,告诉下我要发数据,这叫回调动作。收到回调动作后拿到结果再执行下一步操作。

a. asyncio

python3.3后增加的内置模块asyncio,但是该模块只能发tcp请求(socket的请求),不能发http请求,更偏向底层些。
也可以自己封装构造http请求。但不常用,太偏向底层。
import asyncio
@asyncio.coroutine
def fetch_async(host, url='/'):


    print(host, url)
    reader, writer = yield from asyncio.open_connection(host, 80)                # open_connection,连接会阻塞,不等
    
    # 发数据
    request_header_content = """GET %s HTTP/1.0\r\nHost: %s\r\n\r\n""" % (url, host,)        
    # GET %s HTTP/1.0\r\nHost: %s 构造请求头的一部分,\r\n\r\n 分割请求头请求体。封装成这种类型的发给TCP,TCP以为是http协议
    request_header_content = bytes(request_header_content, encoding='utf-8')
    
    
    writer.write(request_header_content)
    yield from writer.drain()
    text = yield from reader.read()            # 等待用户返回数据,等到返回结果后才往下走
    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

b. asyncio + aiohttp

把数据封装成http协议,再把数据发送给asyncio
import aiohttp
import asyncio

@asyncio.coroutine
def fetch_async(url):
    print(url)
    response = yield from aiohttp.request('GET', url)    # 内部连接、发消息、等数据回来
    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 + aiohttp

c. asyncio + requests

原理同上面二个,封装的更深
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()
asyncio + requests

d. gevent + requests

gevent本身是没有协程的功能,内部一栏greenlet模块,greenlet模块才是真正实现协程的。依赖libevent...C的一个库。
因为greenlet遇到IO阻塞不能自动切换执行另外一个请求,不够智能。

greenlet:遇到switch切换执行另一个请求

from greenlet import greenlet 
def test1():
    print 12                # 第4步
    gr2.switch()            # 第5步
    print 34                # 第8步
    gr2.switch()            # 第9步
 
def test2():
    print 56                # 第6步
    gr1.switch()            # 第7步
    print 78                # 第10步
 
gr1 = greenlet(test1)        # 第1步
gr2 = greenlet(test2)        # 第2步
gr1.switch()                # 第3步
greenlet切换

和gevent配合是遇到IO阻塞时才切换执行另一个请求,完成异步非阻塞

import gevent
import requests
from gevent import monkey

monkey.patch_all()                # 将request.get(...)或request.post(...)内部的socket替换成setblocking(False)非阻塞的socket

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={}),
])
gevent + requests

e. grequests

本质是gevent + requests的封装
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)
grequests

f. Twisted

全部是一下执行到底,没有等待,因为根本没有发数据,只是创建了个对象,发送了连接的请求
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'))            # getPage相当于requests模块。deferred是创建的对象
    deferred.addCallback(callback)                            # addCallback回调,这里是异步
    deferred_list.append(deferred)

dlist = defer.DeferredList(deferred_list)
dlist.addBoth(all_done)                            # 所有的请求都执行完了,执行all_done函数,中止,防止reactor.run()不停的死循环

reactor.run()            # reactor.run()内部是死循环,deferred_list是二个socket对象,检测deferred_list是否连接成功,成功发请求返回数据,直到数据全部返回死循环还是中止不了
twisted

g. Tornado

和Twisted类似
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)        # 每个循环结束,执行handle_response回调


ioloop.IOLoop.current().add_callback(func)
ioloop.IOLoop.current().start()                    # 开始循环执行handle_response
tornado

h. Twisted补充

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()
View Code

 

总结:

gevent + requests、Twisted、asyncio + requests比较常用,
按优先级 Twisted > gevent + requests > asyncio + requests或者asyncio + aiohttp

 

 

四、自定制异步IO模型

a. socket客户端
	obj = socket()
	# obj.connect((198.1.1.1,80))
	obj.connect((http://dig.chouti.com/,80)) # 阻塞
	
	
	obj.send('GET /index http1.1\r\nhost:...\r\ncontent-type:xxxxx\r\n\r\n')
	
	obj.recv(1024) # 最多接收字节 # 阻塞
	
	
	obj.close()
	
	
	
	示例:基于socket实现http请求
		############ 阻塞 ############
		import socket

		client = socket.socket()
		# 连接
		client.connect(("43.226.160.17",80)) # 阻塞		# ping dig.chouti.com ---> 43.226.160.17

		# 发送请求
		data = b"GET / HTTP/1.0\r\nhost: dig.chouti.com\r\n\r\n"
		client.sendall(data)


		response = client.recv(8096) # 阻塞
		print(response)

		client.close()
	
	
	
		############ 非阻塞 ############
	
		import socket

		client = socket.socket()
		client.setblocking(False)	# client.setblocking(0)	都可以,设置成非阻塞
		try:
			# 连接
			client.connect(("43.226.160.17",80)) 		# 连接的请求已经发送出去
		except BlockingIOError as e:
			print(e)
		# 发送请求
		data = b"GET / HTTP/1.0\r\nhost: dig.chouti.com\r\n\r\n"
		client.sendall(data)


		response = client.recv(8096) 	# 非阻塞,但接收不到消息,也会报错
		print(response)

		client.close()
				
	
	
	总结:
		发送Http请求
		非阻塞,会报错 使用try
		定义一些操作
		
		
b. IO多路复用,用来检测【多个】socket对象是否有变化

	伪代码,实现异步非阻塞
	
		socket_list = []
			
		for i in [www.baid.......,.....]
		
			client = socket.socket()
			client.setblocking(False)
			# 连接
			try:
				client.connect((i,80)) # 连接的请求已经发送出去,
			except BlockingIOError as e:
				print(e)
			socket_list.append(client)
	
		
		# 事件循环
		while True:
			r,w,e = select.select(socket_list,socket_list,[],0.05)
			# w, 是什么?[sk2,sk3],连接成功了
			for obj in w:
				obj.send("GET / http/1.0\....")
			# r,是什么? [sk2,sk3], 要收数据了
			for obj in r:
				response = obj.recv(...)
				print(response)
					   
		
	知识点:
		client.setblocking(False)
		select.select检测:连接成功,数据回来了 
import socket
import select

class Request(object):
def __init__(self,sock,info):
    self.sock = sock
    self.info = info

def fileno(self):
    return self.sock.fileno()


class Test(object):
def __init__(self):
    self.sock_list = []
    self.conns = []


def add_request(self,req_info):
    """
    创建请求
    :param req_info: {'host':'www.baidu.com','port':80,'path':'/'}
    :return:
    """
    sock = socket.socket()
    sock.setblocking(False)
    try:
        sock.connect((req_info['host'],req_info['port']))
    except BlockingIOError as e:
        pass

    obj = Request(sock,req_info)
    self.sock_list.append(obj)
    self.conns.append(obj)


def run(self):
    '''开始事件循环,检测连接是否成功,数据是否返回'''
    while True:
        #select.select([socket对象,]),其实不是仅限于socket对象,可以是任何对象,但这个对象一定要有fileno方法
        # select.select([socket对象,])拿到的不是socket对象,而是socket对象方法fileno的返回值。对象.fileno()
        r,w,e = select.select(self.sock_list,self.conns,[],0.05)
        # select.select(self.sock_list,self.conns,[],0.05) ---> select.select([request对象,])
        # w,是否连接成功,w有值连接成功
        for obj in w:
            data = "GET %s http/1.1\r\nhost:%s\r\n\r\n"%(obj.info['path'],obj.info['host'])
            obj.sock.send(data.encode('utf8'))
            self.conns.remove(obj)
         # 数据返回,接收到数据
        for obj in r:
            response = obj.sock.recv(8096)
            print(obj.info['host'],response)
            obj.info['callback'](response)
            self.sock_list.remove(obj)


        # 所有的请求已经返回
        if not self.sock_list:
            break
异步非阻塞模块原理
from .test import Test


def done1(response):
    print(response)

def done2(response):
    print(response)

url_list = [
    {'host':'www.baidu.com','port':80,'path':'/','callback':done1},
    {'host':'www.cnblogs.com','port':80,'path':'/index.html','callback':done2},
    {'host':'www.bing.com','port':80,'path':'/','callback':done2},
]

test = Test()
for item in url_list:
    test.add_request(item)
test.run()
使用

以上是Twisted和Tornado实现异步非阻塞模块的原理

 

posted @ 2016-09-30 17:31  许二哈哈哈  阅读(599)  评论(0编辑  收藏  举报