Hi Roberto,

Thanks for the pointer, it's exactly the type of feedbacks I'm looking for: Ideas that are out-of-box of my confort zone.
However, in our use case, we are using gunicorn, that uses forks instead of multiprocessing to my knowledge, I can't use multiprocessing without to remove gunicorn.

If somebody is using aioredlock in his project, I'm interested by feedbacks.

Have a nice week.

Ludovic Gasc (GMLudo)

2018-04-17 7:19 GMT+02:00 Roberto Martínez <robertomartinezp@gmail.com>:


I don't know if there is a third party solution for this.

I think the closest you can get today using the standard library is using a multiprocessing.manager().Lock (which can be shared among processes) and call the lock.acquire() function with asyncio.run_in_executor(), using a ThreadedPoolExecutor to avoid blocking the asyncio event loop.

Best regards,

El mar., 17 abr. 2018 a las 0:05, Ludovic Gasc (<gmludo@gmail.com>) escribió:

I'm looking for a equivalent of asyncio.Lock (https://docs.python.org/3/library/asyncio-sync.html#asyncio.Lock) but shared between several processes on the same server, because I'm migrating a daemon from mono-worker to multi-worker pattern.

For now, the closest solution in term of API seems aioredlock: https://github.com/joanvila/aioredlock#aioredlock
But I'm not a big fan to use polling nor with a timeout because the lock I need is very critical, I prefer to block the code than unlock with timeout.

Do I miss a new awesome library or do you have an easier approach ?

Thanks for your responses.
Ludovic Gasc (GMLudo)