The client application decides which Memcached server to connect by specifying the IP address and port number of one or more Memcached servers.
In a typical setup, multiple Memcached servers are deployed in a cluster to ensure high availability and scalability. The client application can distribute the workload across these servers by using a consistent hashing algorithm.
Consistent hashing is a technique used by distributed systems to map keys onto nodes in a way that minimizes the amount of remapping required when nodes are added or removed from the system. In Memcached, consistent hashing is implemented by using a ring of hash values to map keys onto server nodes. Each client keeps a copy of this ring and uses it to determine the server responsible for a given key.
Here's an example Python code snippet that demonstrates how to connect to a Memcached server using the
In this example, the client connects to a Memcached server running on
127.0.0.1 at port
set() method is used to store a key-value pair in the cache, and the
get() method is used to retrieve the value associated with the key.