Add memcached

Seahub caches items (avatars, profiles, etc) on the file system in /tmp/seahub_cache/ by default. You can use memcached instead to improve the performance.

First, make sure libmemcached library and development headers are installed on your system. Version 1.0.18 of libmemcached or later should be used.

On Ubuntu 16.04 or similar, the version in system repository is new enough. So you can install it directly.

sudo apt-get install libmemcached-dev

On other systems, such as CentOS 7 or Ubuntu 14.04, you should install the library from source code.

sudo apt-get install build-essential # or sudo yum install gcc gcc-c++ make openssl-devel
wget https://launchpad.net/libmemcached/1.0/1.0.18/+download/libmemcached-1.0.18.tar.gz
tar zxf libmemcached
cd libmemcached-1.0.18
./configure
make
sudo make install

Install Python memcache library.

sudo pip install pylibmc
sudo pip install django-pylibmc

Add the following configuration to seahub_settings.py.

CACHES = {
    'default': {
        'BACKEND': 'django_pylibmc.memcached.PyLibMCCache',
        'LOCATION': '127.0.0.1:11211',
    }
}

If you use a memcached cluster, please replace the CACHES variable with the following. This configuration uses consistent hashing to distribute the keys in memcached. More information can be found on pylibmc documentation and django-pylibmc documentation. Supposed your memcached server addresses are 192.168.1.13[4-6].

CACHES = {
    'default': {
        'BACKEND': 'django_pylibmc.memcached.PyLibMCCache',
        'LOCATION': ['192.168.1.134:11211', '192.168.1.135:11211', '192.168.1.136:11211',],
        'OPTIONS': {
            'ketama': True,
            'remove_failed': 1,
            'retry_timeout': 3600,
            'dead_timeout': 3600
        }
    }
}

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