Can I use process pools with asyncio?

Can I use process pools with asyncio in Python?

Yes, you can use process pools with asyncio by utilizing the concurrent.futures.ProcessPoolExecutor.

How do I implement it in my code?

You can create a ProcessPoolExecutor and run your blocking functions using asyncio.get_running_loop().run_in_executor().

Are there any performance considerations I should be aware of?

Yes, using process pools can introduce overhead due to inter-process communication, so it's best for CPU-bound tasks.

Can you give me a code example?

Sure! Here's a simple example:

import asyncio
from concurrent.futures import ProcessPoolExecutor

def blocking_task(x):
    return x * x

async def main():
    loop = asyncio.get_running_loop()
    with ProcessPoolExecutor() as pool:
        results = await asyncio.gather(*[loop.run_in_executor(pool, blocking_task, i) for i in range(10)])
    print(results)

asyncio.run(main())