Redis Update Value Without Changing TTL in Python (Detailed Guide w/ Code Examples)
Use Case(s)
Updating a value in Redis without altering its existing Time-To-Live (TTL) is often needed when the expiration policy is crucial. For example:
- Caching frequently updated data while maintaining the original expiration time.
- Updating session data where each user's session has a fixed expiration time.
Code Examples
Example 1: Using getset
to Update Value While Retaining TTL
import redis # Connect to Redis client = redis.StrictRedis(host='localhost', port=6379, db=0) key = 'my_key' new_value = 'new_value' # Fetch current TTL ttl = client.ttl(key) # Returns -2 if the key does not exist, or -1 if it exists but has no associated expire if ttl > 0: # Only update the value if the key exists and has an associated expire client.set(key, new_value, ex=ttl) else: # If key does not have an expiration or does not exist, set the value without TTL client.set(key, new_value)
Explanation:
- Connect to the Redis server.
- Fetch the current TTL of the key.
- Check if the TTL is positive.
- Update the value while retaining the original TTL using the
ex
parameter. - Handle cases where the key has no TTL or does not exist.
Example 2: Atomic Update with Lua Script
import redis # Connect to Redis client = redis.StrictRedis(host='localhost', port=6379, db=0) key = 'my_key' new_value = 'new_value' # Lua script to update value and retain TTL lua_script = """ local ttl = redis.call('ttl', KEYS[1]) if ttl > 0 then redis.call('set', KEYS[1], ARGV[1]) redis.call('expire', KEYS[1], ttl) else redis.call('set', KEYS[1], ARGV[1]) end """ # Execute Lua script client.eval(lua_script, 1, key, new_value)
Explanation:
- Connect to the Redis server.
- Define a Lua script that:
- Retrieves the current TTL of the key.
- Sets the new value.
- Re-applies the original TTL if it was positive.
- Execute the Lua script using
client.eval
.
Best Practices
- Always check for the existence of a key and its TTL before updating to avoid unintended behavior.
- Use Lua scripts for atomic operations to prevent race conditions, especially in a multi-client environment.
Common Mistakes
- Forgetting to handle keys that do not exist or have no TTL, leading to unexpected results.
- Overwriting the key without preserving its original TTL due to logic errors.
FAQs
Q: What happens if the key does not exist? A: The scripts and examples provided will handle this by either setting the key without TTL or doing nothing, depending on the specific implementation details.
Q: Can I use other methods to fetch TTL and update values? A: Yes, you can use pipeline transactions to fetch and update values, though Lua scripting is generally preferred for atomicity and simplicity.
Was this content helpful?
Similar Code Examples
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