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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

  1. 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.

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Dragonfly is fully compatible with the Redis ecosystem and requires no code changes to implement.