A simple Redis cache backend for Django
Redis cache allows you to use either a TCP connection or Unix domain socket to connect to your redis server. Using a TCP connection is useful for when you have your redis server separate from your app server and/or within a distributed environment. Unix domain sockets are useful if you have your redis server and application running on the same machine and want the fastest possible connection.
You can specify (optionally) what parser class you want redis-py to use
when parsing messages from the redis server. redis-py will pick the best
parser for you implicitly, but using the PARSER_CLASS
setting gives you
control and the option to roll your own parser class if you are so bold.
This cache backend requires the redis-py Python client library for communicating with the Redis server.
Redis writes to disk asynchronously so there is a slight chance of losing some data, but for most purposes this is acceptable.
This cache backend is full ready for `django-orm`_ cache.
Run python setup.py install
to install,
or place redis_cache
on your Python path.
You can also install it with: pip install django-redis
Modify your Django settings to use redis_cache
# When using TCP connections CACHES = { 'default': { 'BACKEND': 'redis_cache.cache.RedisCache', 'LOCATION': '<host>:<port>', 'OPTIONS': { 'DB': 1, 'PASSWORD': 'yadayada', 'PARSER_CLASS': 'redis.connection.HiredisParser' }, }, } # When using unix domain sockets # Note: ``LOCATION`` needs to be the same as the ``unixsocket`` setting # in your redis.conf CACHES = { 'default': { 'BACKEND': 'redis_cache.cache.RedisCache', 'LOCATION': '/path/to/socket/file', 'OPTIONS': { 'DB': 1, 'PASSWORD': 'yadayada', 'PICKLE_VERSION': -1, # default 'PARSER_CLASS': 'redis.connection.HiredisParser' }, }, }
Place
redis_cache.stats
on your INSTALLED_APPS.Add this url on your urls.py:
url(r'^redis/status/', include('redis_cache.stats.urls', namespace='redis_cache'))
Note: only tested with django >= 1.3
- Improve stats django-app: add more administration options.
- Add garbage collection and memory limits options.