Cache server become more important day by day. Almost project need a cache server to increase speed and performance. Memcached is a cache service provide RAM Cache for any program (like web, game server, ...). In this article, I will introduce about how to use memcached with Python.
For using python memcache in your project, you can use python-memcached or using pylibmc (python library for memcache). of course, it's only a interface for connecting and working with memcache server so as first we need to install memcached server.
For using python memcache in your project, you can use python-memcached or using pylibmc (python library for memcache). of course, it's only a interface for connecting and working with memcache server so as first we need to install memcached server.
Install Memcache server
for ubuntu - Xubuntu - ...
sudo apt-get install memcached
for CentOS - Fedora - Redhat ...
yum install memcached
after installing complete you can check is it running with:
$ telnet localhost 11211
Trying 127.0.0.1...
Connected to localhost.
Escape character is '^]'.
get foo
VALUE foo 0 2
hi
END
stats
STAT pid 8861
(etc)
python-memcached library
After it work. We need to install python-memcached (you can forget this step if you install pylibmc)for ubuntu: (Notice : let sure you install pip before. if you haven't, try "su apt-get install python-pip"
pip install python-memcached
for CentOS: (Notice : we will use pip-python to install python-memcached so let sure pip-python install in your system [ yum install python-pip ]
pip-python install python-memcached
Try some exsample with python-memcached
python
import memcache
mc = memcache.Client(['127.0.0.1:11211'], debug=0)
mc.set("some_key", "Some value")
mc.get("some_key")
mc.set("another_key", 3)
mc.delete("another_key")
pylibmc library
pylibmc is a lib base on C. I hear some people say It's faster than python-memcached lib
sudo apt-get install -y libmemcached-dev zlib1g-dev libssl-dev python-dev build-essential
pip install pylibmc
CentOS - Fedora - Redhat
yum install libmemcached
pip-python install pylibmc
try some sample:
python
>>> import pylibmc
>>> mc = pylibmc.Client(["127.0.0.1"], binary=True,
... behaviors={"tcp_nodelay": True,
... "ketama": True})
>>> mc["some_key"] = "Some value"
>>> mc["some_key"]
'Some value'
>>> del mc["some_key"]
>>> "some_key" in mc
False
for more document. please visit pylibmc Page
Performance comparison of pylibmc library and python-memcached library in here
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