python - 为什么 aiohttp 比 run_in_executor 包装的请求慢？

Question

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我需要向 Web 服务发出大约 10,000 个请求，并且我希望得到 JSON 响应。由于请求是相互独立的，所以我想并行运行它们。我认为 aiohttp 可以帮助我解决这个问题。我编写了以下代码:

import asyncio
import aiohttp


async def execute_module(session: aiohttp.ClientSession, module_id: str,
                         post_body: dict) -> dict:
    headers = {
        'Content-Type': r'application/json',
        'Authorization': fr'Bearer {TOKEN}',
    }

    async with session.post(
            fr'{URL}/{module_id}/steps/execute',
            headers=headers,
            json=post_body,
    ) as response:
        return await response.json()


async def execute_all(campaign_ids, post_body):
    async with aiohttp.ClientSession() as session:
        return await asyncio.gather(*[
            execute_module(session, campaign_id, post_body)
            for campaign_id in campaign_ids
        ])

campaign_ids = ['101', '102', '103'] * 400
post_body = {'inputs': [{"name": "one", "value": 1}]}

print(asyncio.run(execute_all(campaign_ids, post_body)))

附注我提出了 1,200 个测试请求。

解决该问题的另一种方法 - 将 requests.post 包装在 run_in_executor 函数中。我知道在异步函数中使用阻塞代码是错误的，但它运行得更快(~ 7 秒 vs. aiohttp 的~ 10 秒)

import requests
import asyncio


def execute_module(module_id, post_body):
    headers = {
        'Content-Type': r'application/json',
        'Authorization': fr'Bearer {TOKEN}',
    }

    return requests.post(
        fr'{URL}/{module_id}/steps/execute',
        headers=headers,
        json=post_body,
    ).json()

async def execute_all(campaign_ids, post_body):
    loop = asyncio.get_running_loop()
    return await asyncio.gather(*[
        loop.run_in_executor(None, execute_module, campaign_id, post_body)
        for campaign_id in campaign_ids
    ])

campaign_ids = ['101', '102', '103'] * 400
post_body = {'inputs': [{"name": "one", "value": 1}]}

print(asyncio.run(execute_all(campaign_ids, post_body)))

我做错了什么？

Answer 1

您尝试过 uvloop - https://github.com/MagicStack/uvloop ？这应该会提高 aiohttp 请求的速度