Python-Interview-Questions
aioredis
| Python-Interview-Questions | aioredis | |
|---|---|---|
| 1 | 2 | |
| 59 | 2,269 | |
| - | - | |
| 0.0 | 0.0 | |
| 5 months ago | about 1 year ago | |
| Python | ||
| - | MIT License |
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Python-Interview-Questions
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?
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redis-py-sansio - A sansio-first approach to a Python Redis Client.
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python-betterproto - Clean, modern, Python 3.6+ code generator & library for Protobuf 3 and async gRPC