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.
import memcache mc = memcache.Client(['127.0.0.1:11211'], debug=0) # Set some values in the cache mc.set('key1', 'value1') mc.set('key2', 'value2') # Get stats stats = mc.get_stats() print(stats)
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.
stats_slab = mc.get_slab_stats() for slab_id, slab_stats in stats_slab.items(): print(f"Slab ID: {slab_id}") for stat_name, stat_value in slab_stats.items(): print(f"{stat_name}: {stat_value}")
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.
Dragonfly is fully compatible with the Redis ecosystem and requires no code changes to implement.