databricks-dashboard-json

To extract and update Databricks Lakeview dashboards using JSON, use the databricks lakeview CLI to fetch the latest dashboard state and construct payloads for creating or updating serialized_dashboard configurations, datasets, and widget rules.

The serialized_dashboard structure in a Databricks Lakeview dashboard defines the JSON representation of pages, datasets, uiSettings, and widget layout grids, allowing you to manage and deploy complete dashboard configurations programmatically.

You validate widget queries and dataset references across multiple Databricks dashboards by applying structure-aware rules to the extracted serialized_dashboard JSON, ensuring cross-widget consistency and verifying that all widget references align with defined datasets.

Yes, you can use the Databricks CLI lakeview commands to list, get, create, update, and publish dashboards by constructing JSON payloads directly, bypassing manual UI configuration and enabling automated deployment workflows.

Available CLI workflows for managing Databricks Lakeview dashboards include list, get, create, update, trash, and publish operations, utilizing JSON payload construction and safe testing practices for reliable dashboard lifecycle management.

Databricks dashboard deployments fail when serialized_dashboard configurations lack required structure-aware elements like valid dataset references, proper widget layout grids, or missing YAML frontmatter with name and description fields for the dashboard definition.