Memcached is a general-purpose distributed memory caching system often used to speed up dynamic database-driven websites. One common use case for the 'python memcached stats items' query is when you want to monitor your Memcached server and get statistics about items in the cache, including how many items are currently stored, the amount of storage used, and details about specific slabs.
In this example, we first connect to the Memcached server running on
127.0.0.1 at port
11211. Then, we set some values and retrieve the statistics using
get_stats() method. The
stats will return a list of tuples containing server info and a dictionary of stats for each connected server.
In this example, we use the
get_slab_stats() method to get statistics about specific slabs in the Memcached server. It returns a dictionary with slab IDs as keys and another dictionary of stats as values.
Why are my gets larger than my sets in Memcached statistics? This typically happens when you have multiple gets for each set - a desirable situation indicating that your cache is being utilized properly.
What does 'curr_items' stat mean in Memcached statistics? It refers to the current number of items stored by the server.