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authorBryan Marty <bryanmarty@gmail.com>2015-10-30 00:56:55 -0700
committerTim Graham <timograham@gmail.com>2015-10-30 13:45:53 -0400
commitdd0e7f5301098372396c33698cd796fb6ac9d633 (patch)
treed4410ceabb7e6bd92bf7563ca29b609b8991e4c5
parent06abe84e2070e412cbbb23a4c2fa6a017f64de9b (diff)
[1.8.x] Fixed #24212 -- Added example pylibmc CACHES configuration.
Backport of ad67fcdf51ebbbd7c02c1a2b1f269edc8f92afdc from master
-rw-r--r--docs/topics/cache.txt9
1 files changed, 9 insertions, 0 deletions
diff --git a/docs/topics/cache.txt b/docs/topics/cache.txt
index 783a00f905..af648553b6 100644
--- a/docs/topics/cache.txt
+++ b/docs/topics/cache.txt
@@ -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
multiple servers. This means you can run Memcached daemons on multiple
machines, and the program will treat the group of machines as a *single*