How to properly create and run concurrent tasks using python's asyncio module?

Question

I am trying to properly understand and implement two concurrently running Task objects using Python 3\'s relatively new asyncio module.

In a nutshell, asyncio seems

Answer 1

Yes, any coroutine that's running inside your event loop will block other coroutines and tasks from running, unless it

1. Calls another coroutine using yield from or await (if using Python 3.5+).
2. Returns.

This is because asyncio is single-threaded; the only way for the event loop to run is for no other coroutine to be actively executing. Using yield from/await suspends the coroutine temporarily, giving the event loop a chance to work.

Your example code is fine, but in many cases, you probably wouldn't want long-running code that isn't doing asynchronous I/O running inside the event loop to begin with. In those cases, it often makes more sense to use asyncio.loop.run_in_executor to run the code in a background thread or process. ProcessPoolExecutor would be the better choice if your task is CPU-bound, ThreadPoolExecutor would be used if you need to do some I/O that isn't asyncio-friendly.

Your two loops, for example, are completely CPU-bound and don't share any state, so the best performance would come from using ProcessPoolExecutor to run each loop in parallel across CPUs:

import asyncio
from concurrent.futures import ProcessPoolExecutor

print('running async test')

def say_boo():
    i = 0
    while True:
        print('...boo {0}'.format(i))
        i += 1


def say_baa():
    i = 0
    while True:
        print('...baa {0}'.format(i))
        i += 1

if __name__ == "__main__":
    executor = ProcessPoolExecutor(2)
    loop = asyncio.get_event_loop()
    boo = asyncio.create_task(loop.run_in_executor(executor, say_boo))
    baa = asyncio.create_task(loop.run_in_executor(executor, say_baa))

    loop.run_forever()