docker-python3
aioredis
| docker-python3 | aioredis | |
|---|---|---|
| 1 | 2 | |
| 0 | 2,269 | |
| - | - | |
| 0.0 | 0.0 | |
| over 2 years ago | about 1 year ago | |
| Dockerfile | Python | |
| - | MIT License |
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docker-python3
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Why you can’t switch to Python 3.10 just yet
Source for the build is here if anyone is interested: https://github.com/robd003/docker-python3
aioredis
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Pooling in aioredis may be dangerous
First, it was aioredis library. We are using sentinel based client because with this we can achieve failover easily. Aioredis spawn pool of connections, that transparently reconnects (and here third thing — FOREVER, hello DDOS) to our sentinel nodes, and then to master node. It supposed to do so. Also, we found that if you are not limiting maximum connections count, library will do it for you and set it as 2 ** 31 (here you can see it) — this is fourth thing. Furthermore, pool in our version (2.0.1) not closing automatically, and it makes the problem worse.
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Tips using Redis with FastAPI
I'm hoping to leverage Redis with my project, and I was curious as to if anyone had any general pointers as to how best to manage the DB connection. I'm using aioredis such that I can leverage the async functionality, but I haven't been very happy with the library's documentation surrounding how best to leverage the connection pool. Most of the examples create and tear down the pool immediately without showing how best to manage its lifespan.
What are some alternatives?
zeroc-ice-py-centos7 - Centos 7 ZeroC Ice Python Builder
pottery - Redis for humans. 🌎🌍🌏
docker-data-science - Docker image with Data Science tools.
uvloop - Ultra fast asyncio event loop.
cresset - Template repository to build PyTorch projects from source on any version of PyTorch/CUDA/cuDNN.
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
python-for-coding-interviews - Python for Coding Interviews
Dependency Injector - Dependency injection framework for Python
golang-docker-cache - Improved docker Golang module dependency cache for faster builds.
fastapi-redis-cache - A simple and robust caching solution for FastAPI that interprets request header values and creates proper response header values (powered by Redis)
redis-py-sansio - A sansio-first approach to a Python Redis Client.
faust - Python Stream Processing. A Faust fork