Databricks SDK Go v0.163.0: New fields and breaking change
sdkinfradatabricksengineer
breaking patch
Databricks SDK Go v0.163.0 introduces several new fields across compute, jobs, ML, and PostgreSQL services, enhancing cluster configuration and ML tasks. Notably, the SDK removes the `Lifetime` field from `ml.TimeWindow`, which is a backwards-incompatible change requiring consumer action. These updates are primarily for Go developers working with the Databricks platform.
- →Remove Lifetime field for ml.TimeWindow
- →Add DependencyMode field for compute.ClusterAttributes
- →Add DependencyMode field for compute.ClusterDetails
- →Add DependencyMode field for compute.ClusterSpec
- →Add DependencyMode field for compute.CreateCluster
Breaking changes (1) ›
- Remove Lifetime field for ml.TimeWindow
Enhancements (10) ›
- Add DependencyMode field for compute.ClusterAttributes
- Add DependencyMode field for compute.ClusterDetails
- Add DependencyMode field for compute.ClusterSpec
- Add DependencyMode field for compute.CreateCluster
- Add DependencyMode field for compute.EditCluster
- Add DependencyMode field for compute.EnforcePolicyComplianceForClusterResponseClusterSettings
- Add DependencyMode field for compute.UpdateClusterResource
- Add CodeSourcePath field for jobs.AiRuntimeTask
- Add SchemaRegistryConfig field for ml.StreamSchemaConfig
- Add ExtraColumns field for postgres.SyncedTableSyncedTableSpec
Read the original announcement →
https://github.com/databricks/databricks-sdk-go/releases/tag/v0.163.0
Related releases
- Databricks Terraform Provider v1.123.0: Improved Plan Validation, Delta Sharing, MLflow, and Bug Fixes 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 ·
- Databricks AI Search adds high-QPS scaling Databricks Blog ·
- AI Applications and Best Practices in Healthcare Databricks Blog ·