The primary use case for getting current memory usage in Redis using Python is to monitor and manage the memory consumption of your Redis instance. This can help in identifying potential bottlenecks, optimizing memory usage and ensuring smooth operations.
In Python, you can use the redis
library's info
method to get a dictionary of information about the Redis server, including memory usage.
Example 1:
import redis r = redis.Redis(host='localhost', port=6379, db=0) info = r.info() memory_usage = info['used_memory'] print(f'Memory usage: {memory_usage} bytes')
In this example, we first establish a connection with the Redis server. Then we call the info
method which returns a dictionary of information about the server. The used_memory
key gives us the number of bytes that Redis allocated.
Q: How often should I check memory usage in Redis?
A: This depends on the specific use case and workload of your Redis instance. If you have a high write-load where lots of data is being stored and removed, it may be beneficial to check more often.
Dragonfly is fully compatible with the Redis ecosystem and requires no code changes to implement.