All I want to do is. . .
. . .use Celery in Django with a Redis backend.
Celery is a distributed task queue for Python that allows you to run computationally expensive code asynchronously. Here's how to integrate Celery in a Django project, using Redis for the backend service.
Contributors: sloria Updated: 07/13/13
Do these first:
First, install redis:
# On MacOSX with homebrew $ brew update $ brew install redis # On Linux $ wget http://download.redis.io/redis-stable.tar.gz $ tar xvzf redis-stable.tar.gz $ cd redis-stable $ make
Then, add the following to your requirements file:
# requirements.txt celery-with-redis django-celery
Install the new requirements:
$ pip install -r requirements.txt
Add the following to setup.py:
# settings.py import djcelery djcelery.setup_loader() ... # Add djcelery to installed apps INSTALLED_APPS = [ ... 'djcelery', ... ] # Celery settings BROKER_URL = 'redis://localhost:6379/0' CELERY_RESULT_BACKEND = 'redis://localhost:6379/0'
Create the database datatables:
# If you're using South: $ python manage.py migrate djcelery # otherwise: $ python manage.py syncdb
Now to start your redis server and a celery worker.
# Start the redis server $ redis-server # In a new terminal window/tab, start a celery worker $ python manage.py celeryd worker -E # In ANOTHER terminal window/tab, enable the Django Celery monitor # so that you can manage your tasks from your admin page $ python manage.py celerycam
You are now ready to run Celery tasks.
Tasks can be defined like so:
# tasks.py (in one of your apps) from celery import task @task() def add(x, y): return x + y
# In some other file (such as in views or models) from myapp.tasks import add add.delay(2, 2) # Asynchronous addition--Huzzah!