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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?
最佳答案
您尝试过 uvloop - https://github.com/MagicStack/uvloop ?这应该会提高 aiohttp 请求的速度
关于python - 为什么 aiohttp 比 run_in_executor 包装的请求慢?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/58996572/