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celery
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| vscode-ext | celery | |
|---|---|---|
| 1 | 37 | |
| 125 | 21,151 | |
| - | 1.5% | |
| 9.4 | 9.6 | |
| about 1 year ago | 5 days ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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celery
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Use Celery with any Django Storage as a Result Backend
The Celery package provides some number of (undocumented!) result backends to store task results in different local, network, and cloud storages. The django-celery-result package adds options to use Django-specific ORM-based result storage, as well as Django-specific cache subsystem.
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Django Styleguide
I spent 3 years building a high scale crawler on top of Celery.
I can't recommend it. We found many bugs in the more advanced features of Celery (like Canvas) we also ran into some really weird issues like tasks getting duplicated for no reason [1].
The most concerning problem is that the project was abandoned. The original creator is not working on it anymore and all issues that we raised were ignored. We had to fork the project and apply our own fixes to it. This was 4 years ago so maybe things improved since them.
Celery is also extremely complex.
I would recommend https://dramatiq.io/ instead.
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Processing input and letting user download the result
You can use celery to process the file for extraction, saving and creating rar/zip.
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RQ-Scheduler for tasks in far future?
Celery not usefull for long term future tasks (far future) · Issue #4522 · celery/celery (github.com)
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Dedicated backend resources per client
A different approach would be to have a main web application which would communicate with worker processes for time intensive operations as you describe. The web app would communicate with workers via some form of MQ or even database. Many solutions exists for that in different languages, one such solution is [Celery](https://github.com/celery/celery) primarily developed for Python but these days it also supports Node, Go, PHP and Rust.
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Alternative for Django Celery.
Django-q2 only requires one dependency (except for Django itself). Celery, requires quite a few: https://github.com/celery/celery/blob/master/requirements/default.txt
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Deploying Django Application on AWS with Terraform. Setting up Celery and SQS
Add a Celery + SQS setup for local development.
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What is your favourite task queuing framework?
Celery -> What I'm currently considering using
same! the issue has been open with a lot of people experiencing it, but no resolution https://github.com/celery/celery/issues/4185
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What happened to the Celery project website?
It seems to be a preliminary home for the docs while the issues with the current domain are sorted out (see issue #7351).
What are some alternatives?
dramatiq - A fast and reliable background task processing library for Python 3.
Apache Kafka - Mirror of Apache Kafka
huey - a little task queue for python
rq - Simple job queues for Python
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.
kombu - Messaging library for Python.
Sidekiq - Simple, efficient background processing for Ruby
mrq - Mr. Queue - A distributed worker task queue in Python using Redis & gevent
arq - Fast job queuing and RPC in python with asyncio and redis.
KQ - Kafka-based Job Queue for Python
Gearman
pg-boss - Queueing jobs in Node.js using PostgreSQL like a boss