@Marvin I'm using redis for result_storage. How can I define the TTL of the results in the DB?

Could you please confirm your Prefect version? This way, I can give you the most accurate guidance for your specific setup.

@Marvin Version: 3.1.4 API version: 0.8.4 Python version: 3.11.6 Git commit: 78ee41cb Built: Wed, Nov 20, 2024 7:37 PM OS/Arch: linux/x86_64 Profile: local Server type: server Pydantic version: 2.10.0b2 Integrations: prefect-redis: 0.2.1 prefect-kubernetes: 0.5.0

Setting the Time-to-Live (TTL) for result storage when using Prefect with Redis involves configuring specific parameters. From the Prefect 3.x documentation, it seems like managing results and enabling features such as caching are core components of configuring result persistence. Although there wasn't an explicit mention of defining TTL directly via Prefect, you may need to handle this via Redis configurations. Here's a general approach you could consider: 1. Using Redis Directly: Since TTL is a standard feature of Redis, you can set the TTL for keys directly using Redis commands. You might write a custom script to automate this process when storing results, by calling Redis'

EXPIRE

command within your Prefect tasks. 2. Prefect's Redis Integration: Make sure you've installed prefect-redis and registered any block types needed. 3. Result Persistence Configuration: While the excerpts didn't show TTL controls, they highlight how you can configure result persistence. You’ll need to ensure result persistence through Prefect settings or task decorators as mentioned here. If you're not familiar with configuring Redis directly, it could be a good idea to consult the Redis documentation for more detailed instructions on setting TTLs. If you run into any trouble while configuring this, feel free to ask for more specific steps! Ah, the life of a data engineer – always rewriting the universe in code snippets.