多執行緒與多程序 非同步IO python
阿新 • • 發佈:2018-12-16
1 效能相關 在編寫爬蟲時,效能的消耗主要在IO請求中,當單程序單執行緒模式下請求URL時必然會引起等待,從而使得請求整體變慢。 1.1 同步執行
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)
1.2 多執行緒執行
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)
1.3 多執行緒+回撥函式執行
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)
1.4 多程序執行
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)
1.5 多程序+回撥函式執行
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)
通過上述程式碼均可以完成對請求效能的提高,對於多執行緒和多進行的缺點是在IO阻塞時會造成了執行緒和程序的浪費,所以非同步IO回事首選: 2 非同步IO 2.1 asyncio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()
2.2 asyncio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\r\nHost: %s\r\n\r\n""" % (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()
2.3 asyncio + aiohttp
import 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()
2.4 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()
2.5 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)
# ##### 傳送請求 #####
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={}),
])
# ##### 傳送請求(協程池控制最大協程數量) #####
# 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={}),
# ])
2.6 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')
]
# ##### 執行並獲取響應列表 #####
# response_list = grequests.map(request_list)
# print(response_list)
# ##### 執行並獲取響應列表(處理異常) #####
# def exception_handler(request, exception):
# print(request,exception)
# print("Request failed")
# response_list = grequests.map(request_list, exception_handler=exception_handler)
# print(response_list)
2.7 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()
2.8 Tornado
from tornado.httpclient import AsyncHTTPClient
from tornado.httpclient import HTTPRequest
from tornado import ioloop
def handle_response(response):
"""
處理返回值內容(需要維護計數器,來停止IO迴圈),呼叫 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()
2.9 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內建以及第三方模組提供非同步IO請求模組,使用簡便大大提高效率,而對於非同步IO請求的本質則是【非阻塞Socket】+【IO多路複用】:
史上最牛逼的非同步IO模組
import select
import socket
import time
class AsyncTimeoutException(TimeoutError):
"""
請求超時異常類
"""
def __init__(self, msg):
self.msg = msg
super(AsyncTimeoutException, self).__init__(msg)
class HttpContext(object):
"""封裝請求和相應的基本資料"""
def __init__(self, sock, host, port, method, url, data, callback, timeout=5):
"""
sock: 請求的客戶端socket物件
host: 請求的主機名
port: 請求的埠
port: 請求的埠
method: 請求方式
url: 請求的URL
data: 請求時請求體中的資料
callback: 請求完成後的回撥函式
timeout: 請求的超時時間
"""
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):
"""當前請求是否已經超時"""
current_time = time.time()
if (self.__start_time + self.timeout) < current_time:
return True
def fileno(self):
"""請求sockect物件的檔案描述符,用於select監聽"""
return self.sock.fileno()
def write(self, data):
"""在buffer中寫入響應內容"""
self.__buffer.append(data)
def finish(self, exc=None):
"""在buffer中寫入響應內容完成,執行請求的回撥函式"""
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\r\nHost: %s\r\n\r\n%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):
"""建立一個要請求"""
client = socket.socket()
client.setblocking(False)
try:
client.connect((host, port))
except BlockingIOError as e:
pass
# print('已經向遠端傳送連線的請求')
req = HttpContext(client, host, port, method, url, data, callback, timeout)
self.connections.append(req)
self.fds.append(req)
def check_conn_timeout(self):
"""檢查所有的請求,是否有已經連線超時,如果有則終止"""
timeout_list = []
for context in self.connections:
if context.is_timeout():
timeout_list.append(context)
for context in timeout_list:
context.finish(AsyncTimeoutException('請求超時'))
self.fds.remove(context)
self.connections.remove(context)
def running(self):
"""事件迴圈,用於檢測請求的socket是否已經就緒,從而執行相關操作"""
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:
# 已經連線成功遠端伺服器,開始向遠端傳送請求資料
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物件,內部封裝了請求相關資訊
:param response: 請求響應內容
:param ex: 是否出現異常(如果有異常則值為異常物件;否則值為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()