Databricks icon

Databricks

Interact with Databricks API

Actions33

Unity Catalog → Update Catalog

AI-generated

Overview

This node operation updates an existing catalog in the Unity Catalog resource of Databricks. It allows users to modify the comment or description of a specified catalog. This is useful for maintaining accurate metadata and documentation for data catalogs within Databricks Unity Catalog, which provides unified governance for data and AI.

Use Case Examples

  1. Updating the description of a catalog named 'main' to reflect recent changes in data governance policies.
  2. Modifying the comment field of a catalog to add additional context or notes for data users.

Properties

Name Meaning
Catalog The catalog to update. This can be selected from a list of existing catalogs or specified by name.
Comment Optional comment or description to update the catalog with.

Output

JSON

  • name - The name of the updated catalog.
  • comment - The updated comment or description of the catalog.
  • other properties - Additional properties returned by the Databricks API for the updated catalog.

Dependencies

  • Databricks API
  • An API authentication token (Bearer token) for Databricks

Troubleshooting

  • Ensure the catalog name is correctly specified and exists in the Unity Catalog.
  • Verify that the API token has sufficient permissions to update catalogs in Unity Catalog.
  • Check network connectivity and API endpoint URL correctness.
  • Handle API errors such as 4xx or 5xx status codes by reviewing error messages returned by the Databricks API.

Links

Discussion