mrq
kombu
| mrq | kombu | |
|---|---|---|
| - | 4 | |
| 897 | 3,120 | |
| 0.1% | 0.3% | |
| 0.0 | 9.0 | |
| about 3 years ago | 4 days ago | |
| Python | Python | |
| MIT License | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
mrq
We haven't tracked posts mentioning mrq yet.
Tracking mentions began in Dec 2020.
kombu
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Celery + Redis at Scale: Designing a Reliable and Efficient Task Queue in Production
One more practical point from my experience: sometimes the problem is not in your code or even in your configuration, but in Celery itself or in lower-level libraries such as Kombu (for example https://github.com/celery/kombu/issues/2258).
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Show HN: Drop-In SQS Replacement Based on SQLite
https://docs.celeryq.dev/en/stable/getting-started/backends-...
Celery's flower utility doesn't work with SQS or GCP's {Cloud Tasks, Cloud Pub/Sub, Firebase Cloud Messaging FWIU} but does work with AMQP, which is a reliable messaging protocol.
RabbitMQ is backed by mnesia, an Erlang/OTP library for distributed Durable data storage. Mnesia: https://en.wikipedia.org/wiki/Mnesia
SQLite is written in C and has lots of tests because aerospace IIUC.
There are many extensions of SQLite; rqlite, cr-sqlite, postlite, electricsql, sqledge, and also WASM: sqlite-wasm, sqlite-wasm-http
celery/kombu > Transport brokers support / comparison table: https://github.com/celery/kombu?tab=readme-ov-file#transport...
Kombu has supported Apache Kafka since 2022, but celery doesn't yet support Kafka: https://github.com/celery/celery/issues/7674#issuecomment-12...
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Variables pool system
It is feasible and there are a number of ways to do it. There are a few issues, though, mainly how to make sure that you are accessing the latest data and not getting part of the data mid write. A database handles these issues pretty well, since generally they are meant to be an intermediary between different processes. Another solution, that is often more flexible, is a message queue, like this one: https://github.com/celery/kombu
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Messaging and Madness: Sending Messages with AMQP and Amazon MQ
Above I use the library Kombu to create some connections and send some stuff. I started by setting up our environment variables. Then created exchange and queue objects. Finally, I made our connection object and the producer object, and then we sent a simple “Hello” message.
What are some alternatives?
celery - Distributed Task Queue (development branch)
pika - Pure Python RabbitMQ/AMQP 0-9-1 client library
rq - Simple job queues for Python
simpleq - A simple, infinitely scalable, SQS based queue.