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[1.8.x] Fixed #24212 -- Added example pylibmc CACHES configuration.

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Backport of ad67fcdf51ebbbd7c02c1a2b1f269edc8f92afdc from master
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Bryan Marty 2015-10-30 00:56:55 -07:00 committed by Tim Graham
parent 06abe84e20
commit dd0e7f5301
1 changed files with 9 additions and 0 deletions
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9
docs/topics/cache.txt
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@ -114,6 +114,15 @@ In this example, Memcached is available through a local Unix socket file
} }
} }
When using the ``pylibmc`` binding, do not include the ``unix:/`` prefix::
CACHES = {
'default': {
'BACKEND': 'django.core.cache.backends.memcached.PyLibMCCache',
'LOCATION': '/tmp/memcached.sock',
}
}
One excellent feature of Memcached is its ability to share a cache over One excellent feature of Memcached is its ability to share a cache over
multiple servers. This means you can run Memcached daemons on multiple multiple servers. This means you can run Memcached daemons on multiple
machines, and the program will treat the group of machines as a *single* machines, and the program will treat the group of machines as a *single*