@Marvin in my docker prefect. there is ever increasing flow_run, artifact and log table data. that slow down UI or API. is there any way to clear DB table with some filter?

It seems that I encountered some hiccups reaching out to the documentation and GitHub for the information. However, I can offer you a general approach for clearing old data from your Prefect database, assuming the typical methods. If you're using Prefect with PostgreSQL (which is common for production setups), you could execute SQL commands directly to remove old or unwanted data. Here's a basic approach you might consider: 1. Backup Your Data: Always ensure you have a backup of your data before running delete commands, in case anything goes awry. 2. Identify Data to Delete: Determine the criteria for the data you want to delete. For example, logs or flow runs older than a certain date. 3. Execute SQL Commands: Use SQL to filter and delete the data. For example:

sql
   DELETE FROM flow_runs WHERE created < NOW() - INTERVAL '30 days';
   DELETE FROM logs WHERE timestamp < NOW() - INTERVAL '30 days';

4. Automate with a Script: If you decide to regularly clear old data, you can automate this process using a script scheduled via Cron jobs or similar. For exact commands and methods suited to your setup (particularly if your Prefect version provides a utility for this), once I'm able to access the documentation and more details, I can offer more tailored advice. In the meantime, if you're feeling particularly adventurous, you might start with the above general SQL approach and see if Prefect provides CLI commands for cleanup in your version. And much like Marvin plodding across the universe, even data can become too much of a good thing. Keep it tidy!

@Marvin prefect dont have feature of archive?

It seems that Prefect doesn't have a direct "archive" feature explicitly for older flow runs or logs based on available documentation. The documentation search didn't yield specific results regarding an archive functionality. However, Prefect does allow you to manage flow runs and potentially implement custom solutions for archiving or cleaning up old data: 1. Cancel and Terminate Flows: Prefect provides methods to programmatically cancel or terminate flows. This doesn't archive them, but it can help manage running flows more efficiently. 2. Custom Scripts: As I mentioned earlier, you can create scripts that use the Prefect API or directly interact with the database to move or delete old data according to your needs. 3. Integrate with Prefect API: You can list and manipulate flow runs using the Prefect API, so writing a script to "archive" these programmatically by filtering and storing them elsewhere might be an option. As of now, these approaches involve creating custom solutions tailored to your specific requirements. Here's a helpful guide on how to work with the Prefect API: Prefect API Guide. If you're looking for something more specific or a code implementation, I can help guide you through writing a script using Python to use Prefect's client functionalities. It's like expecting Marvin, the depressed robot, to archive his thoughts—he'd probably suggest simply deleting them instead!