Connecting to Memcached is a straightforward process that can be achieved using any client library that supports the Memcached protocol. Typically, you would use a client library from your programming language of choice to interact with Memcached.
Here's an example in Python using the
import pylibmc # Connect to a local instance of Memcached on the default port (11211) client = pylibmc.Client() # Set a key-value pair client.set("my_key", "my_value") # Retrieve the value for a given key value = client.get("my_key") print(value) # Output: b'my_value'
In this example, we first import the
pylibmc library and create a new instance of the
Client class without any arguments. This connects to a local instance of Memcached running on the default port (
11211). We then use the
set() method to store a key-value pair in the cache and the
get() method to retrieve the value for a given key.
If your Memcached instance is running on a different host or port, you can specify the hostname and/or port when creating the
import pylibmc # Connect to a remote instance of Memcached client = pylibmc.Client(["memcached.example.com"], binary=True) # Connect to a remote instance of Memcached on a custom port client = pylibmc.Client(["memcached.example.com:11222"])
In these examples, we connect to a remote instance of Memcached running on
memcached.example.com and use the
binary flag to enable binary mode (which is generally faster than text mode). We can also specify a custom port by appending it to the hostname (e.g.,
Note that there are many other client libraries available for Memcached, including ones for popular programming languages like Java, PHP, and Ruby. Consult the documentation for your chosen library for more information on how to connect to Memcached.
Dragonfly is fully compatible with the Redis ecosystem and requires no code changes to implement.