Databricks Terraform Provider v1.123.0: Improved Plan Validation, Delta Sharing, MLflow, and Bug Fixes
Databricks Terraform provider version 1.123.0 shifts workspace ID validation from plan to apply, resolving false-positive plan failures for certain configurations. It also introduces a data source for Delta Sharing recipients and enhances MLflow experiment tracing with Unity Catalog integration. Several bug fixes address issues with view column comments and access control rule set drift detection, impacting users managing Databricks resources via Terraform.
- →Add databricks_recipients data source to list Delta Sharing recipient names
- →Fix databricks_access_control_rule_set drift detection when all grant_rules are removed outside Terraform
Features (2) ›
- Add databricks_recipients data source to list Delta Sharing recipient names
Add trace_location to databricks_mlflow_experiment for storing experiment traces in a Unity Catalog schema . The block is immutable (ForceNew); table_prefix is optional and, when omitted, server-defaulted, with the resolved value exposed on the read-only effective_table_prefix
Fixes (2) ›
Fix updating a column comment on a VIEW in databricks_sql_table . The provider emitted ALTER VIEW ... ALTER COLUMN ... COMMENT, which Databricks rejects with a PARSE_SYNTAX_ERROR, leaving the change stuck as a perpetual, un-appliable diff. Column comment changes on views are now applied in place via COMMENT ON COLUMN, matching how column comments on tables are updated
- Fix databricks_access_control_rule_set drift detection when all grant_rules are removed outside Terraform
Maintenance (1) ›
A provider-level workspace_id is now consistently validated when a workspace-level resource acquires its client, regardless of whether the value came from the resource's provider_config block or the provider configuration
https://github.com/databricks/terraform-provider-databricks/releases/tag/v1.123.0
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