How to use the power of uvicorn and asgi in django?

Question

I implemented a tiny Django app (v4.0.4) containing a REST API — GET method for retrieving some data. Next, I wanted to run the project using gunicorn+uvicorn since I saw a more benchmark performance than a normal deployment in an article. So I decided to get my own benchmark using wrk tool.

Here's what I've got:

Command	Webserver	Protocol	Result (Req/Sec)
python manage.py runserver 0.0.0.0:8000	Django Default	wsgi	13.06
gunicorn bitpin.wsgi:application --bind 0.0.0.0:8000 -w 2	gunicorn	wsgi	45.20
gunicorn bitpin.asgi:application --bind 0.0.0.0:8000 -w 2 -k uvicorn.workers.UvicornWorker	uvicorn+gunicorn	asgi	22.17

However, the above result demonstrates something else!
Is the reason that when I want to use asgi I have to use async method instead for my API view? If so how can I change a Django REST API view to an async one? Or might I've missed some configurations?

---

[NOTE]:

• I ran the benchmark using the following command:

  wrk -t4 -c11 -d20s -H "Authorization: Token xxx" http://127.0.0.1:8000/api/v1/content/
  

• It is worth mentioning that for this test I used two workers for gunicorn and it is obvious that the higher workers, the better the performance will be.

Answer 1

İf you want create async rest api use one async main function and you can call another synchronous function from this function.

for example: #url.py:

path('Create',views.data_export,name='export_database')

#view.py

async def data_export(request):
  if(request.method == 'POST'):
    if(db_connect):
      system_id=request.POST.get('system_id')
      export_id =request.POST.get('export_id')  
      asyncio.create_task(start(system_id,export_id))

  return HttpResponse("Starting")

async def start(system_id,export_id):
  export_task = sync_to_async(start_export,thread_sensitive=False)
  system_id=str(config['COLLECTION_NAME']+'_'+system_id)
  await export_task(system_id,export_id)

export_task is a synchronous function.

This is how I made the rest api asynchronous.