Launch a job and/or execute it asynchronously

First, make sure you understand the implications of using the asynchronous interface (see Asynchronous operations & concurrency).

Defer jobs asynchronously

In order for the defer query to be executed asynchronously, instead of calling defer, you’ll need to call defer_async:

def my_task(a, b):

await my_task.defer_async(a=1, b=2)
await my_task.configure(lock="ness").defer_async(a=1, b=2)
await app.configure_task(name="module.my_task", lock="ness").defer_async(a=1, b=2)

Execute jobs asynchronously

If your job is a coroutine, it will be awaited:

async def my_task(a, b):
    await asyncio.sleep(3)

With async tasks (such as my_task above), and with concurrency set to a value greater than 1 in the Procrastinate worker, the worker process may execute multiple jobs at the same time. See Execute multiple jobs at the same time for more information on how to configure Procrastinate workers for concurrent jobs.

Note that tasks can be deferred asynchronously or synchronously, whether they are async or not:

# Note: tasks being async or not can be awaited asynchronously or not
await my_task.defer_async(a=1, b=2)
# or
my_task.defer(a=1, b=2)