博客导语学完理论必须落地实战。本文提供可直接上线的异步爬虫、异步文件读写案例对比同步、多线程、异步性能差距适合爬虫、后端接口、批量IO场景。一、异步网络请求aiohttprequests是同步阻塞高并发爬虫必须用 aiohttp 异步请求。import aiohttp import asyncio async def fetch(session, url): async with session.get(url) as resp: return await resp.text() async def main(): urls [https://www.baidu.com]*10 async with aiohttp.ClientSession() as session: tasks [fetch(session,url) for url in urls] results await asyncio.gather(*tasks) print(len(results)) asyncio.run(main())二、异步文件读写aiofiles普通open是阻塞IO海量文件读写用异步极致提速。import aiofiles import asyncio async def write_file(): async with aiofiles.open(async.txt,w,encodingutf-8) as f: await f.write(异步文件写入内容) asyncio.run(write_file())三、三种并发方案最终选型总结计算密集 →多进程普通IO、少量并发 →多线程海量IO、高并发爬虫/接口 →异步协程
