arq-sqlalchemy-boilerplate
celery
| arq-sqlalchemy-boilerplate | celery | |
|---|---|---|
| 1 | 43 | |
| 6 | 23,498 | |
| - | 0.8% | |
| 4.1 | 9.5 | |
| over 2 years ago | 7 days ago | |
| Python | Python | |
| MIT License | BSD 3-clause "New" or "Revised" License |
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arq-sqlalchemy-boilerplate
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Boilerplates for integration services when you need to sync API resources or databases
- Boilerplate based on Arq https://github.com/kazqvaizer/arq-sqlalchemy-boilerplate
celery
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Streaming responses to websockets with multiple LLMs, am I going about this wrong?
So this might be my understanding, but stuff like celery is more like an orchestrator that chunks up workloads (think Hadoop with multiple nodes).
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Examples of using task scheduler with Go?
In the Django world, you'd probably rely on Celery to do this for you. You're probably looking for something similar that works with Go. https://github.com/celery/celery
- SynchronousOnlyOperation from celery task using gevent execution pool on django orm
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FastAPI + Celery problem: Celery task is still getting exectued even though I'm raising an exception on task_prerun
I've been doing some research and there doesn't seem to be much information on this issue, aditionally there's this but without a fix yet or any workaround: https://github.com/celery/celery/issues/7792
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Taskiq: async celery alternative
RabbitMQ Classic mirror queues are very fragile to network partitioning. They are deprecated in favor of Quorum queues, but Celery doesn't support them yet : https://github.com/celery/celery/issues/6067
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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.
[1]: https://github.com/celery/celery/issues/4426
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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)
What are some alternatives?
arq - Fast job queuing and RPC in python with asyncio and redis.
dramatiq - A fast and reliable background task processing library for Python 3.
SQLAlchemy - The Database Toolkit for Python
Apache Kafka - Mirror of Apache Kafka
celery-sqlalchemy-boilerplate - Boilerplate for services with Celery, SQLAlchemy, Docker, Alembic and Pytest
huey - a little task queue for python
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.
rq - Simple job queues for Python
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