Python 官方文档:入门教程 => 点击学习
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: 使用多线程:可以使用threading模块创建和管理多个线程
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:
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()
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。
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