在Python中实现并发上千个请求有多种方法。以下是一些常用的方法:
threading
模块创建和管理多个线程,并发发送请求。每个线程可以负责发送一个请求。可以使用线程池来管理和控制线程的数量。import threading
import requests
def send_request(url):
response = requests.get(url)
print(response.text)
urls = [...] # 存储要发送请求的URL列表
threads = []
for url in urls:
thread = threading.Thread(target=send_request, args=(url,))
thread.start()
threads.append(thread)
for thread in threads:
thread.join()
asyncio
模块和aiohttp
库来实现并发请求。协程是一种轻量级的线程,可以在单个线程中实现并发。通过使用async
和await
关键字,可以创建异步函数,并发执行请求。import asyncio
import aiohttp
async def send_request(url):
async with aiohttp.ClientSession() as session:
async with session.get(url) as response:
data = await response.text()
print(data)
urls = [...] # 存储要发送请求的URL列表
loop = asyncio.get_event_loop()
tasks = [send_request(url) for url in urls]
loop.run_until_complete(asyncio.wait(tasks))
loop.close()
grequests
或gevent
,来实现并发请求。这些库可以在单个线程中并发执行多个请求。使用grequests
库的示例:
import grequests
urls = [...] # 存储要发送请求的URL列表
requests = [grequests.get(url) for url in urls]
responses = grequests.map(requests)
for response in responses:
print(response.text)
使用gevent
库的示例:
import gevent
import requests
def send_request(url):
response = requests.get(url)
print(response.text)
urls = [...] # 存储要发送请求的URL列表
greenlets = [gevent.spawn(send_request, url) for url in urls]
gevent.joinall(greenlets)
无论选择哪种方法,都要注意控制并发请求的数量,以避免过多的资源消耗或服务器超载。