[Solved]-How to use python multiprocessing module in django view

by

8👍

✅

Currently I have a function (view) that go over each URL to get the
information, and update the DB.

It means response time does not matter for you and instead of doing it in the background (asynchronously), you are OK with doing it in the foreground if your response time is cut by 4 (using 4 sub-processes/threads). If that is the case you can simply put your sample code in your view. Like

from multiprocessing import Pool

def updateDB(ip):
     code goes here...

def my_view(request):
    pool = Pool(processes=4)              # process per core
    pool.map(updateDB, ip)
    return HttpResponse("SUCCESS")

But, if you want to do it asynchronously in the background then you should use Celery or follow one of @BasicWolf’s suggestions.

👤Muhammad Tahir

7👍

Though using Celery may seem an overkill, it is a well-known way of doing asynchronous tasks. Essentially Django serves WSGI request-response cycle which knows nothing of multiprocessing or background tasks.

Here are alternative options:

👤Zaur Nasibov

1👍

I will recommend to use gevent for multithreading solution instead of multiprocessing. Multiprocessing can cause problem in production environment where spawning new processes are restricted.

Example code:

from django.shortcuts import HttpResponse
from gevent.pool import Pool

def square(number):
    return number * number

def home(request):
    pool = Pool(50)
    numbers = [1, 3, 5]
    results = pool.map(square, numbers)
    return HttpResponse(results)
👤jbacker

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