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Python Redis: Retrieving Slow Log Data (Detailed Guide w/ Code Examples)

Use Case(s)

Retrieving slow log is a common operation to monitor and debug performance issues in Redis. It can be used to identify slow queries, assess their execution time, and gather other useful information for debugging.

Code Examples

In Python, using the redis-py library, we can fetch slow logs with the command slowlog_get.

Example 1: Retrieve all entries from the slow log:

import redis

r = redis.Redis()

# Get the entire slow log
data = r.slowlog_get()
for i in data:

In this code, slowlog_get() without any arguments retrieves all slow log entries. Each entry is a dictionary containing the fields: 'command', 'duration', 'id' and 'time'.

Example 2: Retrieve the last N entries from the slow log:

import redis

r = redis.Redis()

# Get the last 5 slow log entries
data = r.slowlog_get(5)
for i in data:

In this example, slowlog_get(5) retrieves the last 5 entries from the slow log.

Best Practices

  1. Regularly monitor your Redis slow logs to identify performance issues early on.
  2. Be careful not to overwhelm your application by retrieving too many log entries at once. Use the parameter of slowlog_get(N) to limit the number of returned entries.

Common Mistakes

Frequently checking slow logs can consume a considerable amount of resources, so it's important not to check too frequently in a high load environment.


  • What is Redis slow log? - It is a system to log queries that exceeded a specified execution time.
  • Can I limit the number of slow log entries? - Yes, you can set the maximum length of the slow log using the slowlog-log-slower-than and slowlog-max-len configuration directives.

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