subcategory |
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Databricks SQL |
-> Please switch to databricks_dashboard to author new AI/BI dashboards using the latest tooling
To manage SQL resources you must have databricks_sql_access
on your databricks_group or databricks_user.
-> documentation for this resource is a work in progress.
A widget is always tied to a Legacy dashboard. Every dashboard may have one or more widgets.
resource "databricks_sql_widget" "d1w1" {
dashboard_id = databricks_sql_dashboard.d1.id
text = "Hello! I'm a **text widget**!"
position {
size_x = 3
size_y = 4
pos_x = 0
pos_y = 0
}
}
resource "databricks_sql_widget" "d1w2" {
dashboard_id = databricks_sql_dashboard.d1.id
visualization_id = databricks_sql_visualization.q1v1.id
position {
size_x = 3
size_y = 4
pos_x = 3
pos_y = 0
}
}
You can import a databricks_sql_widget
resource with ID like the following:
terraform import databricks_sql_widget.this <dashboard-id>/<widget-id>
The following resources are often used in the same context:
- End to end workspace management guide.
- databricks_sql_dashboard to manage Databricks SQL Dashboards.
- databricks_sql_endpoint to manage Databricks SQL Endpoints.
- databricks_sql_global_config to configure the security policy, databricks_instance_profile, and data access properties for all databricks_sql_endpoint of workspace.
- databricks_sql_permissions to manage data object access control lists in Databricks workspaces for things like tables, views, databases, and more.