Global System Configurations¶

WARNING: Changes to these settings can have a severe impact to the platform and break functionality if set incorrectly. If you are unsure about making a change to any of these values, please reach out to DataForge support for assistance.

View and edit all system configuration parameters in the workspace.

Click the edit icon in the Action column to enable editing for a configuration value.

Edited values are highlighted orange; invalid entries show an error. Multiple configurations can be edited before saving. Click Save (upper right) to apply changes, or Cancel to undo all edits.

After saving, you may be prompted to restart Core/API services for changes to take effect. Services can be restarted from this screen via the triple-dot menu to the left of Save. The Cleanup Process can also be manually started from that menu.

Databricks SQL warehouse requirement¶

Beginning with DataForge 11.0, every Databricks deployment must provide the system configuration value databricks-warehouse-id. Set it to the ID of an existing Databricks SQL warehouse that meets all of these requirements:

Serverless compute is enabled.
The DataForge Databricks identity can access and use the warehouse.
The warehouse can read the catalogs and schemas used by DataForge.

The configured warehouse is used by expression validation, the Source Data View tab, and Talos data queries. DataForge uses the exact warehouse ID you provide and does not select or create a replacement warehouse.

To configure the warehouse:

In Databricks, open SQL Warehouses and create or select a serverless warehouse.
Copy the warehouse ID from its connection details.
In DataForge, set databricks-warehouse-id to that value and save the system configuration.
Restart the API and Talos services when prompted.

If the setting is missing or the warehouse cannot be used, DataForge shows the configuration error during expression validation, in Data View, and in Talos instead of silently selecting other compute.