mcpyrate
aioredis
| mcpyrate | aioredis | |
|---|---|---|
| 1 | 2 | |
| 55 | 2,269 | |
| - | - | |
| 1.8 | 0.0 | |
| over 2 years ago | about 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | MIT 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.
mcpyrate
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?
mutatest - Python mutation testing: test your tests! Safely run mutation trials without source code modifications and see what will get past your test suite.
pottery - Redis for humans. 🌎🌍🌏
awesome-pattern-matching - Pattern Matching for Python 3.7+ in a simple, yet powerful, extensible manner.
uvloop - Ultra fast asyncio event loop.
pyan - Static call graph generator. The official Python 3 version. Development repo.
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
jsons - 🐍 A Python lib for (de)serializing Python objects to/from JSON
Dependency Injector - Dependency injection framework for Python
unpythonic - Supercharge your Python with parts of Lisp and Haskell.
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)
pydantic - Data validation using Python type hints
redis-py-sansio - A sansio-first approach to a Python Redis Client.