rq-scheduler
django-postgres-queue
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rq-scheduler | django-postgres-queue | |
---|---|---|
4 | 4 | |
1,386 | 116 | |
1.1% | - | |
2.2 | 0.0 | |
about 2 months ago | 3 months ago | |
Python | Python | |
MIT License | BSD 2-clause "Simplified" License |
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rq-scheduler
- Keep the Monolith, but Split the Workloads
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RQ-Scheduler for tasks in far future?
RQ-Scheduler is another simpler alternative (rq/rq-scheduler: A lightweight library that adds job scheduling capabilities to RQ (Redis Queue) (github.com)) that appears to be good for such purposes. It's not immediately clear if it would suffer from the same issues, but it seems not (Redis manages issues with data loss well, a separate queue is used for the scheduled tasks, etc.). Is anyone aware of any drawbacks to using RQ-Scheduler for something like this?
- Need direction on how to add asynchronous / scheduled tasks on my flask app running on aws beanstalk
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Some advice: will my setup be production ready?
Some thoughts: - Storing API keys in Redis with AOF and RDB persistence turned on is going to be way faster than storing those keys in Mongo. - Did you mean RQ (redis-queue)/django-rq? If so, it works well as long as you don't need a scheduler for cron-like tasks, which it doesn't include. You can add rq-scheduler for that though: https://github.com/rq/rq-scheduler - Make sure your redis instance has a password -- redis 6 supports ACLs as well - The problem with slow requests is that they tie up app server processes and usually also database connections. That may be fine with a small number of consumers, but if you point your web site at this API, you may run into problems. Consider that if an app server serving web site traffic is waiting for a slow request to your API, then both app servers are affected -- you're now holding resources on the web site and the API, effectively. - HTTP clients often use a default timeout value for requests, and it's a best practice to use such a timeout -- so you'll need to coach your partners consuming this API not to use timeouts for your API.
django-postgres-queue
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Keep the Monolith, but Split the Workloads
If you're using PostgreSQL, then
django-postgres-queue: https://github.com/gavinwahl/django-postgres-queue
procrastinate: https://github.com/procrastinate-org/procrastinate/
- django-pgpubsub: A distributed task processing framework for Python built on top of the Postgres NOTIFY/LISTEN protocol.
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Procrastinate: PostgreSQL-Based Task Queue for Python
I ran on Huey for a few years on a python/postgres ecosystem project fronted by Django, and ultimately migrated to django-postgres-queue, which is wonderful. (There has since been a fork that I have not used.) It uses the same underlying primitives as OP, and I would absolutely recommend this to anyone operating in the same ecosystem.
https://github.com/gavinwahl/django-postgres-queue
- Devious SQL: Message Queuing Using Native PostgreSQL
What are some alternatives?
fastapi-cloud-tasks - GCP's Cloud Tasks + Cloud Scheduler + FastAPI = Partial replacement for celery.
pg-boss - Queueing jobs in Node.js using PostgreSQL like a boss
django-rq - A simple app that provides django integration for RQ (Redis Queue)
redislite - Redis in a python module.
celery - Distributed Task Queue (development branch)
dramatiq-pg
Flask-RQ2 - A Flask extension for RQ.
django-rq - A simple app that provides django integration for RQ (Redis Queue) [Moved to: https://github.com/rq/django-rq]
packwerk - Good things come in small packages.
supervisor - Supervisor process control system for Unix (supervisord)
Que - A Ruby job queue that uses PostgreSQL's advisory locks for speed and reliability.