python - AIOFiles 比正常文件操作花费更长的时间

Question

我有一个问题，我是 python 异步世界的新手，我编写了一些代码来测试 asyncio 的功能，我创建了 10 个包含随机内容的文件，名为 file1.txt , file2.txt, ..., file10.txt

这是我的代码:

import asyncio
import aiofiles
import time

async def reader(pack, address):
    async with aiofiles.open(address) as file:
        pack.append(await file.read())

async def main():
    content = []
    await asyncio.gather(*(reader(content, f'./file{_+1}.txt') for _ in range(10)))

    return content

def core():
    content = []
    for number in range(10):
        with open(f'./file{number+1}.txt') as file:
            content.append(file.read())
    
    return content

if __name__ == '__main__':
    # Asynchronous
    s = time.perf_counter()
    content = asyncio.run(main())
    e = time.perf_counter()
    print(f'Take {e - s: .3f}')

    # Synchronous
    s = time.perf_counter()
    content = core()
    e = time.perf_counter()
    print(f'Take {e - s: .3f}')

得到了这个结果:

Asynchronous: Take 0.011
Synchronous: Take 0.001

为什么异步代码比同步代码花费更长的时间？我哪里做错了？

Answer 1

我发布了一个问题 #110在 aiofiles 的 GitHub 上，aiofiles 的作者回答说:

You're not doing anything wrong. What aiofiles does is delegate the file reading operations to a thread pool. This approach is going to be slower than just reading the file directly. The benefit is that while the file is being read in a different thread, your application can do something else in the main thread.

A true, cross-platform way of reading files asynchronously is not available yet, I'm afraid :)

希望对遇到同样问题的 friend 有所帮助