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A asyncio-redis backend for Django!

Project description

# django-asyncio-redis
A `aioredis` backend for Django. I am using it in production but you may not want to: the API is fairly stable but could change in the future.

### Usage
`pip install django-asyncio-redis`

The following will set your cache backend to the `AsyncRedisCache`. It will be using `HiRedis` and connection pooling.
HiRedis is the preferred backend as it is very fast.

import os

"default": {}, # Leave your default the way it was for non async django access.
"async": {
"BACKEND": "django-asyncio-redis.cache.AsyncRedisCache",
"LOCATION": os.environ.get('REDIS_LOCATION', "redis://"),
"TIMEOUT": 1200,


### All fields:
* Required.
* Specified as `redis://host:port` with optional `?db=x` to specify the database.
* Optional. Default: 10.
* `LOOP`
* Optional. Default `None`.
* The IO loop to run everything on.
* Optional. Default 300.
* Specify the default cache expire time. Used in `set` type operations.
* Optional. Default `django_asyncio_redis.encoder.JSONEncoder`
* Determines how the data is encoded to be transmitted to redis.

### Example
from django.core.cache import caches
from django.http import HttpResponse

acache = caches['async']

async def my_view(request):
val = await acache.get('test-key')
return HttpResponse(val)

async def my_view_with_context_manager(request):
async with await acache.lock('my-lock-key', timeout=0) as lock:
if not lock.was_obtained:
return HttpResponse('Could not obtain lock', status=400)
data = do_locked_processing() # hold lock until completely done
return HttpResponse(data)

async def my_view_with_context_manager_timed(request):
async with await acache.lock('my-lock-key', timeout=10) as lock:
if not lock.was_obtained:
return HttpResponse('Could not obtain lock', status=400)
data = do_locked_processing() # Hold lock for 10 seconds, otherwise it timed out
if await lock.is_locked: # check lock after long processing
return HttpResponse(data)

### Notes
- locking implementation based off
- Have not tested it with multiple redis servers.
- Contributions welcome

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