Databricks releases

Databricks blog and Terraform provider releases. New features, breaking changes, security advisories and deprecations - each summarised in plain English and updated continuously.

Tracking 63 Databricks releases · Updated

  • Databricks Java SDK Releases sdkaidatabricksdeprecationengineer ·

    Databricks SDK Java v0.117.0: Enhanced AI agent detection and pagination

    Databricks SDK Java version 0.117.0 enhances AI agent detection by recognizing the AI_AGENT environment variable, improving user agent reporting for recognized AI tools. It also introduces explicit factory methods for pagination strategies, deprecating the direct constructor. Bug fixes address issues with paginators silently dropping results on empty pages. These updates benefit developers using the SDK for interacting with Databricks AI features and data listing operations.

    patch
  • Terraform Databricks Provider Releases terraforminfradatabricksdeprecationengineer ·

    Databricks Terraform Provider v1.115.0: Bug Fixes and Deprecations

    This release of the Databricks Terraform provider addresses several critical bugs affecting various resources when used with account-level configurations. Specifically, issues with decoding state, resolving workspace IDs, and handling OAuth configurations are resolved, ensuring greater stability for users managing Databricks resources via Terraform. Additionally, the provider deprecates the `provider_config` field for account-level settings, signaling a move towards more streamlined configuration management. These fixes benefit users managing complex Databricks environments, particularly those leveraging account-level configurations or migrating to newer provider versions.

    patch
  • Databricks Go SDK Releases sdkgovernancedatabricksdeprecation ·

    Databricks SDK Go v0.129.0: New Services, API Additions, and Breaking Changes

    Databricks SDK Go version 0.129.0 introduces new workspace-level services for supervisor agents and secrets, alongside numerous API additions across various modules. This release also includes several breaking changes, primarily affecting method paths for updating configurations related to data classification, environments, knowledge assistants, Postgres resources, and SQL warehouses. These updates impact developers using the Go SDK to interact with Databricks platform features.

    patch
  • Databricks Java SDK Releases sdkinfraazuredatabricksdeprecationengineer ·

    Databricks SDK Java v0.104.0: New Auth, AI Agent Support, API Updates

    Databricks SDK Java v0.104.0 introduces Azure Managed Service Identity (MSI) authentication and automatic detection of AI coding agents in user-agent strings. It enhances error handling for non-JSON responses and fixes token scope mismatches for Databricks CLI authentication. The release also includes numerous API additions and two breaking changes affecting the `com.databricks.sdk.service.postgres.SyncedTableSyncedTableSpec` and `com.databricks.sdk.service.settings.CustomerFacingIngressNetworkPolicyRequestDestination` configurations.

    patch
  • Databricks Go SDK Releases sdkazuregcpdatabricksgadeprecationengineer ·

    Databricks SDK for Go v0.127.0 Release

    Databricks SDK for Go v0.127.0 introduces several new features, including host metadata customization and lazy iteration with limits. It also contains numerous bug fixes, particularly around token acquisition and caching for various credential providers. Breaking changes include raising the minimum Go version and removing a field from the Postgres SyncedTableSpec. These updates affect developers using the Go SDK for interacting with Databricks services.

    breaking patch