Get Total Commands Processed in Redis Using Python (Detailed Guide w/ Code Examples)
Use Case(s)
The total commands processed statistic in Redis can be used to monitor the workload of a Redis instance. It represents the total number of commands processed by the server since it started. This is useful in performance monitoring and debugging.
Code Examples
-
Using redis-py, a Python client for Redis:
import redis r = redis.Redis(host='localhost', port=6379, db=0) info = r.info() print(info['total_commands_processed'])
In this example, we connect to a Redis server running on localhost at port 6379. Then, we call the
info
method which returns a dictionary containing information and statistics about the server. We then print the 'total_commands_processed' value from this dictionary.
Best Practices
- Always ensure that the Redis instance is up and running before trying to fetch stats.
- Handle exceptions that may occur during the connection with Redis or if the stat does not exist.
Common Mistakes
- Not checking the availability of Redis server: Make sure Redis server is running and accessible.
- Misunderstanding the meaning of commands processed: This indicates the total number of commands processed since the Redis server started, not the currently active commands.
FAQs
- What does 'total_commands_processed' represent? It represents the total number of commands processed by the Redis server since it started.
- Is 'total_commands_processed' reset on Redis restarts? Yes, it's reset every time the Redis server is restarted.
Was this content helpful?
Similar Code Examples
- Getting All Keys Matching a Pattern in Redis using Python
- Getting the Length of a Redis List in Python
- Getting Server Info from Redis in Python
- Getting Number of Connections in Redis Using Python
- Getting Current Redis Version in Python
- Getting Memory Stats in Redis using Python
- Redis Get All Databases in Python
- Redis Get All Keys and Values in Python
- Retrieving a Key by Value in Redis Using Python
- Python Redis: Get Config Settings
- Getting All Hash Keys Using Redis in Python
- Querying Redis Eviction Policy in Python
Switch & save up to 80%
Dragonfly is fully compatible with the Redis ecosystem and requires no code changes to implement. Instantly experience up to a 25X boost in performance and 80% reduction in cost