Search for a command to run...
Celery, keeps you healthy if you include it in your diet.
Experienced Full Stack Software Engineer with 4+ Years of experience, proficient in Django and React, with expertise in Python, JavaScript and Typescript, also an author of Dev.Junction Blogs & YouTube Channel, expert in Python/Django, Rest Framework, ReactJS/NextJS and TypeScript, currently based in Pune, India.
No comments yet. Be the first to comment.
In this series of Blogs, we will be learning and implementing Celery from the ground up in Django with RabbitMQ.
Celery, Celery, Celery, oh my darling Celery!
TypeScript, a Syntactic sugar on top of JavaScript
Are you tired of tightly coupled code and struggling to keep track of events in your Django application? Look no further! Our new e-book, "Django Signals Demystified: A Step-by-Step Guide to Event-Driven Programming" is here to help you master the po...
Maximizing Performance with select_related and prefetch_related in Django
2022 was not a good year financially because I did so many mistakes knowingly or unknowingly that, eventually, made me lose INR 500K over the course of just 6 months. So here are those mistakes which taught me about freelancing, finance management et...
Improve the user experience and efficiency of your React app with these simple techniques.
Note: If you are looking for a Full Stack Developer (Django+React), then connect with me on LinkedIn or contact me through my portfolio.
Celery is an asynchronous task queue in Django, basically used for queuing time-consuming tasks. Let me give you a real world use case of Celery.
Let’s say you have an application where you want to send a Welcome Email to the user after Sign Up, if you perform this operation synchronously with Django, it will be going to hold the HTTP request execution until the email is sent.
Now to solve this problem, we can transfer this task burden to a task queue such as Celery, so whenever a user Sign Up in your application, your HTTP request will continue the process, and then it will pass the task to Celery instance, which is running in a different server (service).
Now, Celery is not capable of executing those asynchronous task all by itself, because Celery is just a service running in your server.
Whenever a task comes to Celery, it stores the task with a unique ID inside a persistent storage called Task Broker.
Now, the job of this Task Broker is to assign a task ID to any message that comes, and then forward it to Celery for further processing.
We do not use relation databases because these are slow, on the other hand task brokers are fast, reliable, concurrency enabled.
Two very popular task brokers are RabbitMQ and Redis.
Installing Celery in a Django project is pretty easy:
pip install celery
That’s it for today, in the next blog, we will learn how to use Celery in a Django project and how to execute it asynchronously.
For more such crispy blogs daily, follow Dev.Junction, subscribe to our newsletter and get notified.
LinkedIn: https://www.linkedin.com/in/mnamegaurav/
Website: https://gaurav.devjunction.in/
GitHub: https://github.com/mnamegaurav
Instagram: https://www.instagram.com/mnamegaurav/
Twitter: https://twitter.com/mnamegaurav