@@ -7,7 +7,15 @@ persistent data store. More information: http://simonwillison.net/2009/Jan/7/ratelimitcache/ -Installation: Place the ratelimitcache.py on your Python path. +Installation: + + Place the ratelimitcache.py on your Python path. + + Configure your CACHE_BACKEND setting. For best results, use the memcached + backend - the other backends do not provide an atomic counter increment + and so may suffer from less effective limiting due to race conditions. + + Cache documentation: http://docs.djangoproject.com/en/dev/topics/cache/ Demo: cd demo/ readme.txt 864b2aa8d275a8a3e662e9effbf00b20acb1ff41 Simon Willison simon@simonwillison.net http://github.com/simonw/ratelimitcache/commit/7f52ce1179ad5f01d7b5e918a65b5edb7f2caa84 7f52ce1179ad5f01d7b5e918a65b5edb7f2caa84 2009-01-08T00:37:12-08:00 2009-01-08T00:37:12-08:00 Installation note: you need to configure the CACHE_BACKEND setting 00534a6ea5b22b6d766c29cb9921fe14648850e1 Simon Willison simon@simonwillison.net