r2dbc-postgresql
dramatiq
| r2dbc-postgresql | dramatiq | |
|---|---|---|
| 4 | 15 | |
| 986 | 4,079 | |
| 0.3% | - | |
| 7.6 | 7.7 | |
| 25 days ago | 6 days ago | |
| Java | Python | |
| Apache License 2.0 | GNU Lesser General Public License v3.0 or later |
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r2dbc-postgresql
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Reactive Backend Applications with Spring Boot, Kotlin and Coroutines (Part 1)
Now that we have an application, let's turn it into a reactive application. For this, we will replace Spring Web dependency with Spring WebFlux, Spring Data JPA with Spring Data R2DBC. We will also add R2DBC dependency for our H2 database. R2DBC works with a reactive driver so it will integrate nicely with the rest of our application to allow us database access in a non-blocking way.
- Reactive db drivers (r2dbc)
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I need to create an API, but I don't know what framework to use. What would you choose, of you were me, and scalability is a quite important factor?
However, if you really expect a lot of users (especially concurrent ones) to use your API, you should delve into the world of reactive programming. Use tools like RxJS (JS/TS) or Project Reactor (Java) in such a case, preferably in combination with a broker like Kafka or RabbitMQ. R2DBC is also great for a data store. Then of course if you want to go one step further, there also exists the less popular but very interesting Actor model which Akka easily has ported into Java.
- Postgres is a great pub/sub and job server
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
What are some alternatives?
worker - High performance Node.js/PostgreSQL job queue (also suitable for getting jobs generated by PostgreSQL triggers/functions out into a different work queue)
celery - Distributed Task Queue (development branch)
sql-task-queue
huey - a little task queue for python
pg-boss - Queueing jobs in Node.js using PostgreSQL like a boss
Cython - The most widely used Python to C compiler
reactive-kotlin-weather-api
Pyston - A faster and highly-compatible implementation of the Python programming language.
walex - Postgres change events (CDC) in Elixir
Stackless Python
Que - A Ruby job queue that uses PostgreSQL's advisory locks for speed and reliability.
PyPy