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rq | Flask-RQ2 | |
---|---|---|
27 | 3 | |
9,481 | 222 | |
0.8% | 0.0% | |
8.3 | 0.0 | |
9 days ago | 6 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
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rq
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Redis Re-Implemented with SQLite
That's pretty cool. Reckon it would work with existing code that calls Redis over the wire for RQ?
https://python-rq.org
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The Many Problems with Celery
https://github.com/rq/rq is to the rescue.
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Keep the Monolith, but Split the Workloads
We use RQ[0], it has Redis as a dependency. It’s pretty straightforward and we’re very happy with it. If you are using Django you may want to look at Django RQ[1] as well. RQ has built in scheduling capabilities these days, but historically it did not so we used (and still use) RQ Scheduler[2] which I think still has some advantages over the built in stuff.
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SQL Maxis: Why We Ditched RabbitMQ and Replaced It with a Postgres Queue
Also had a similar experience using RabbitMQ with Django+Celery. Extremely complicated and workers/queues would just stop for no reason.
Moved to Python-RQ [1] + Redis and been rock solid for years now.
- What libraries do you use the most alongside django?
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Recommendations other than celery to send an API processing in background, which would only take 5 mins to process and API usage would be once a month or so.
Yep, rq is simple and good: https://python-rq.org/ It also has a Django wrapper: https://github.com/rq/django-rq
- Dynamically update periodic tasks in Celery and Django
- Celery + RabbitMQ alternatives
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Are there any self-hosted web front-ends or Discord bots I can run in front of the Python scripts?
It's just Flask for the API, rq for the queue and then a modified version of txt2img.py
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What is your favourite task queuing framework?
RQ -> ...?
Flask-RQ2
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Wondering if I should use Celery vs threads for what I want to do
From experience i would not use threads for this or any background jobs. I would use Celery or Flask-RQ2 to be your workers, you will also probably end up using them to run other tasks as you encounter the need for other jobs. They both use Redis as a broker and job store and you can use Redis for other things like caching and so many other useful features. I kind of like RQ2 more then Celery because its a little simpler but Celery has a lot more to offer, more features. RQ2 has rq-dashboard for monitoring jobs and Celery has Flower.
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Tutorials on how to build a flask extension?
However, you might need to access the app’s context like how you’d do so in the Flask-RQ2 extension by using ScriptInfo from flask.cli:
What are some alternatives?
celery - Distributed Task Queue (development branch)
huey - a little task queue for python
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
mrq - Mr. Queue - A distributed worker task queue in Python using Redis & gevent
procrastinate - PostgreSQL-based Task Queue for Python
Apache Kafka - Mirror of Apache Kafka
KQ - Kafka-based Job Queue for Python
kombu - Messaging library for Python.
Streamz - Real-time stream processing for python
budibase - Budibase is an open-source low code platform that helps you build internal tools in minutes 🚀
Celery-Kubernetes-Operator - An operator to manage celery clusters on Kubernetes (Work in Progress)
starlette - The little ASGI framework that shines. 🌟