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.
- →Fix databricks_access_control_rule_set drift detection when all grant_rules are removed outside Terraform
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
Related releases
- Databricks Previews Unity Catalog Discover and Domains for Data Marketplace Databricks Blog ·
- Unity Catalog Managed Tables: Interoperability and Governance for Lakehouse Databricks Blog ·
- Databricks Terraform Provider Adds Resource Adoption and Drift Prevention Terraform Databricks Provider Releases ·
- Databricks SDK Java v0.137.0 adds AI Gateway and deployment fields Databricks Java SDK Releases ·
- Databricks SDK for Go v0.166.0 Enhances Workspace Services Databricks Go SDK Releases ·
- NorthStar Anesthesia builds clinician scheduling app on Databricks Apps in weeks Databricks Blog ·