https://github.com/manatlan/redys

a simple redis-like in pure python
https://github.com/manatlan/redys

Last synced: 2 months ago
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a simple redis-like in pure python

• Host: GitHub
• URL: https://github.com/manatlan/redys
• Owner: manatlan
• License: mit
• Created: 2018-11-14T21:41:26.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2023-10-12T11:26:31.000Z (about 1 year ago)
• Last Synced: 2024-04-14T09:48:24.764Z (8 months ago)
• Language: Python
• Size: 97.7 KB
• Stars: 13
• Watchers: 6
• Forks: 2
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# redys

A simple redis-like in pure python3, fully asyncio/thread/process compliant !

[on pypi/redys](https://pypi.org/project/redys/)

### features

- asyncio compliant

- client Sync (Client) & Async (AClient)

- 100% tested on all platforms ("3.7", "3.8", "3.9", "3.10", "3.11" on  ubuntu-latest, macos-latest, windows-latest) **NEW**

- very quick

- `classics` commands : get/set/delete/keys & incr/decr

- `sets` commands : sadd/srem

- `queue` commands : rpush/lpush/rpop/lpop

- `pubsub` commands : subscribe/unsubscribe/get_event & publish

- `cache` commands : setex

- `ping()` command ;-)

- `KILL()` command (so a client can kill the server) **NEW**

- exchange everything that is pickable (except None)

- raise real python exception in client side

- minimal code size

- works well on GAE Standard (2nd generation/py37)

- just in-memory !

### why ?

Redis is great, but overbloated for my needs. Redys is simple, you can start

the server side in an asyncio loop, and clients can interact with a simple

in-memory db. Really useful when clients are in

async/threads/process(workers)/multi-hosts world, to share a unique source of truth.

### nb

- The sync client (`Client`) use threads, so it can't live in the same loop as the server (`Server`). It's better to use it in another thread or process.

- The async client (`AClient`) can live in the same loop as the server (`Server`), but don't forget to await each methods (which are coroutines in async version)

- Not fully/concurrency tested. Use at own risk ;-)

- See [tests](https://github.com/manatlan/redys/blob/master/tests.py) for examples

BTW, I use it in production since 2018: and no problems at all !!!! (it works as excepted)