Memcached stats settings are often used when you want to monitor and gather statistics about your Memcached server. This could include tracking hit rates, evictions, fetch commands, set commands, current connections, and more.
In Python, you can use the 'pymemcache' library to interact with Memcached. Here's an example of how you can retrieve and print out all statistics from a Memcached server:
from pymemcache.client.base import Client client = Client(('localhost', 11211)) stats = client.stats() for key, value in stats.items(): print(f'{key}: {value}')
In this code, we instantiate a Client
object with the location of our Memcached server. Then, we call the stats()
method which returns a dictionary containing all available statistics. We then print each statistic and its corresponding value to the console.
If you only want to get specific statistics, you can pass the name of the stat as an argument to the stats()
function. For instance:
from pymemcache.client.base import Client client = Client(('localhost', 11211)) hits = client.stats('get_hits') misses = client.stats('get_misses') print(f'Hits: {hits}') print(f'Misses: {misses}')
This code will only retrieve and print the 'get_hits' and 'get_misses' stats from the Memcached server.
Q: Can I reset my statistics?
Yes, you can use client.flush_all()
to clear all data and statistics from your Memcached server. Be careful though, as this will also remove all your cached data.
Q: What does 'curr_items' represent? 'curr_items' represents the current number of items stored in cache.
Q: Why is my 'get_misses' count so high? A high 'get_misses' count could suggest that your application is trying to fetch data that isn't in cache. This could be due to a small cache size or an uneven distribution of data across the cache.
Dragonfly is fully compatible with the Redis ecosystem and requires no code changes to implement.