Getting JSON Values from Redis in Python (Detailed Guide w/ Code Examples)

Use Case(s)

Retrieving JSON data from Redis is a common operation when using Python and Redis together. This operation comes handy in scenarios such as caching complex data structures, session management, or working with task queues involving structured data.

Code Examples

Example 1: Using json.loads to deserialize JSON data

In this example, we'll use Redis' GET command to retrieve a JSON serialized value. We'll then deserialize it using Python's json library.

import redis import json client = redis.Redis(host='localhost', port=6379, db=0) value = client.get('key') # Ensure value exists and then deserialize if value: data = json.loads(value.decode('utf-8'))

In this code, after retrieving the value from Redis, we decode the byte-string to a normal string before deserializing it into a Python object.

Best Practices

  • It's a good practice to handle the case where a key might not exist in Redis. Using an if value: check before trying to deserialize can prevent errors.

  • Whenever possible, try to keep your JSON objects small. Large JSON objects can lead to increased memory usage and slow down your application.

Common Mistakes

  • One common mistake is forgetting to decode the byte-string to a normal string before attempting to deserialize it. Python's json library expects a string, not bytes.


Q: Can I store complex Python objects as JSON in Redis?

A: Yes, you can serialize most Python objects to JSON before storing them in Redis. However, some types of Python objects, like custom classes, cannot be directly serialized to JSON.

Q: What if the key does not exist in Redis?

A: If the key does not exist, Redis will return None. It's important to handle this case in your application code.

Was this content helpful?

Start building today

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