dramatiq
Que
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dramatiq | Que | |
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15 | 10 | |
4,061 | 2,284 | |
- | 0.3% | |
7.3 | 6.0 | |
1 day ago | 23 days ago | |
Python | Ruby | |
GNU Lesser General Public License v3.0 or later | MIT License |
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dramatiq
- Dramatiq: A fast and reliable distributed task processing library for Python
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Inngest raises $3M seed to build the reliable workflow platform for every dev
Using something like Dramatiq [1] with Redis, writing a background job takes minutes, and can be deployed alongside an existing Python web app. There are probably JS equivalents.
I think Inngest could be a useful service, but the comparison felt off for me - it made me feel like this wasn't solving a real problem.
[1] https://dramatiq.io/
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Arq vs Dramatiq vs Taskiq vs Repid
Dramatiq documentation
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Taskiq: async celery alternative
Hello everyone. We want to present you Taskiq: our new project that allows sending tasks using distributed queues. Conceptually it's similar to Celery or Dramatiq but with full asyncio and type hints support. Taskiq can send and execute async functions and has many integrations with different queue implementations.
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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
- Simple Task Queue system that works with Django 4 / Python 3.9?
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Writing a book about Django, what’s your suggestion for the theme?
I have been using dramatiq lately (celery alternative) and so far I'm happy with it.
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A new simple background job processing framework
this is a more robust solution. https://dramatiq.io/
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What is your favourite task queuing framework?
Dramatiq -> Just another celery?
- 5 background scheduling libraries in Python you must know
Que
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Choose Postgres Queue Technology
> Can you define "low throughput"?
<1000 messages per minute
Not saying SKIP LOCKED can't work with that many. But you'll probably want to do something better.
FWIW, Que uses advisory locks [1]
[1] https://github.com/que-rb/que
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Introducing tobox: a transactional outbox framework
Probably worth mentioning that aside from delayed_job there are at least two more modern alternatives backed by the DB: Que and good_job.
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Sidekiq jobs in ActiveRecord transactions
Good article. Sidekiq is a good, well respected too. However if you are starting out I would recommend not using it, and instead choosing a DB based queue system. We have great success with que, but there are others like good_job.
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SQL Maxis: Why We Ditched RabbitMQ and Replaced It with a Postgres Queue
(not sure why this comment was dead, I vouched for it)
There are a lot of ways to implement a queue in an RDBMS and a lot of those ways are naive to locking behavior. That said, with PostgreSQL specifically, there are some techniques that result in an efficient queue without locking problems. The article doesn't really talk about their implementation so we can't know what they did, but one open source example is Que[1]. Que uses a combination of advisory locking rather than row-level locks and notification channels to great effect, as you can read in the README.
[1]: https://github.com/que-rb/que
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Delayed Job vs. Sidekiq: Which Is Better?
https://github.com/que-rb/que
This one seems to be the most performant. By a lot too, from my understanding (haven't ran any benchmark myself, but the readme shows some good postgres knowledge)
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Sidekiq VS Que - a user suggested alternative
2 projects | 3 Feb 2022
Que seems like a good alternative if one doesn't want to use Reids. However, given that most apps need Redis (and have it within their infrastructure) nowadays, I still think that Sidekiq is the better option in the generic case.
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Devious SQL: Message Queuing Using Native PostgreSQL
Implementations that use advisory locks like https://github.com/que-rb/que are much more efficient (atleast when I last tested) and will easily reach 10k job/s on even very modest hardware.
There is a Go port of Que but you can also easily port it to any language you like. I have a currently non-OSS implementation in Rust that I might OSS someday when I have time to clean it up.
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Postgres is a great pub/sub and job server
It’s also possible to use advisory locks to implement a job queue in Postgres. See e.g. Que[1]. Note there are a fair number of corner cases, so studying Que is wise if trying to implement something like this, as well as some (a bit older) elaboration[2].
We implemented a similar design to Que for a specific use case in our application that has a known low volume of jobs and for a variety of reasons benefits from this design over other solutions.
[1]: https://github.com/que-rb/que
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Ruby Schedulers: Whenever vs Sidekiq Cron vs Sidekiq Scheduler
Do also take into consideration que-scheduler (disclaimer, am author). It is built on top of the robust que async job system.
What are some alternatives?
celery - Distributed Task Queue (development branch)
Sidekiq - Simple, efficient background processing for Ruby
huey - a little task queue for python
good_job - Multithreaded, Postgres-based, Active Job backend for Ruby on Rails.
Cython - The most widely used Python to C compiler
Delayed::Job - Database based asynchronous priority queue system -- Extracted from Shopify
Pyston - A faster and highly-compatible implementation of the Python programming language.
Resque - Resque is a Redis-backed Ruby library for creating background jobs, placing them on multiple queues, and processing them later.
Stackless Python
Karafka - Ruby and Rails efficient multithreaded Kafka processing framework
PyPy
Shoryuken - A super efficient Amazon SQS thread based message processor for Ruby