Python Celery explained for beginners to Professionals(Part-3) — Workers, Pool and Concurrency configurations of Python Celery

Hello readers,

If you have not read my previous posts, Please read it.

Python Celery — Distributed Task Queue demystified for beginners to Professionals(Part-1)

Python Celery explained for beginners to Professionals(Part-2) — Applications of Python Celery

We will be discussing few important points about Celery Workers, Pool and its concurrency configurations in this post.

Celery Worker is the one which is going to run the tasks.

celery -A tasks worker --pool=prefork --concurrency=1 --loglevel=info

Above is the command to start the worker.

We will explore those command line options.

-A, --app <app>

This expects our python module in which celery object is created.

worker

is an option used to start the celery worker.

--loglevel