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Adds a note on how to increase memcached memory limits. 

Fixes #13.
This commit is contained in:
Bertrand Bordage 2015-04-11 00:59:22 +02:00
parent 2f8422a622
commit 9016c650ac
1 changed files with 24 additions and 7 deletions
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31
docs/limits.rst
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@ -3,13 +3,6 @@
Limits
------
Locmem
......
Locmem is a just a ``dict`` stored in a single Python process.
It’s not shared between processes, so don’t use locmem with django-cachalot
in a multi-processes project, if you use RQ or Celery for instance.
Redis
.....
@ -35,6 +28,30 @@ To avoid this, 2 solutions:
For more information, read
`Using Redis as a LRU cache <http://redis.io/topics/lru-cache>`_.
Memcached
.........
By default, memcached is configured for small servers.
The maximum amount of memory used by memcached is 64 MB,
and the maximum memory per cache key is 1 MB. This latter limit can lead to
weird unhandled exceptions such as
``Error: error 37 from memcached_set: SUCCESS``
if you execute queries returning more than 1 MB of data.
To increase these limits, set the ``-I`` and ``-m`` arguments when starting
memcached. If you use Ubuntu and installed the package, you can modify
`/etc/memcached.conf`, add ``-I 10`` on a newline to set the limit
per cache key to 10 MB, and if you want increase the already existing ``-m 64``
to something like ``-m 1000`` to set the maximum cache size to 1 GB.
Locmem
......
Locmem is a just a ``dict`` stored in a single Python process.
It’s not shared between processes, so don’t use locmem with django-cachalot
in a multi-processes project, if you use RQ or Celery for instance.
MySQL
.....