[Python-Dev] A more flexible task creation

Yury Selivanov yselivanov.ml at gmail.com
Thu Jun 14 13:08:15 EDT 2018

On Thu, Jun 14, 2018 at 12:40 PM Tin Tvrtković <tinchester at gmail.com> wrote:
> Hi,
> I've been using asyncio a lot lately and have encountered this problem several times. Imagine you want to do a lot of queries against a database, spawning 10000 tasks in parallel will probably cause a lot of them to fail. What you need in a task pool of sorts, to limit concurrency and do only 20 requests in parallel.
> If we were doing this synchronously, we wouldn't spawn 10000 threads using 10000 connections, we would use a thread pool with a limited number of threads and submit the jobs into its queue.
> To me, tasks are (somewhat) logically analogous to threads. The solution that first comes to mind is to create an AsyncioTaskExecutor with a submit(coro, *args, **kwargs) method. Put a reference to the coroutine and its arguments into an asyncio queue. Spawn n tasks pulling from this queue and awaiting the coroutines.
> It'd probably be useful to have this in the stdlib at some point.

Sounds like a good idea!  Feel free to open an issue to prototype the API.


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