Databricks
Databricks blog and Terraform provider releases.
- Databricks Java SDK Releases sdkdatabricksengineer ·
Databricks SDK Java v0.109.0: New IAM, Disaster Recovery, and Job APIs
Databricks SDK Java v0.109.0 introduces several new methods for managing workspace assignments via the IAM V2 service, enhancing disaster recovery capabilities with a failover group name field, and adding Python operator task support to job runs. These updates provide developers with more granular control over IAM configurations and job execution, impacting engineers and architects working with the Databricks platform.
feature - Databricks Python SDK Releases sdkdatabrickspreviewengineer ·
Databricks SDK for Python v0.109.0 Released
Databricks SDK for Python v0.109.0 introduces new features and improvements, enhancing programmatic interaction with Databricks platform services. This release aims to streamline workflows for developers and data engineers by offering more robust and efficient tools for managing Databricks resources and automating tasks. Developers and architects leveraging the Databricks platform for their data and AI initiatives will find these updates beneficial.
feature patch - Databricks Java SDK Releases sdkmldatabricksengineer ·
Databricks SDK Java v0.108.0: API updates and breaking changes
This release of the Databricks SDK for Java introduces several API changes, including new fields for Feature objects and requests, and new enum values for serving workloads. It also includes breaking changes such as modified method signatures and removed fields, requiring users to update their integrations. These updates are relevant for developers interacting with Databricks features like Feature Engineering and Model Serving.
breaking feature patch - Databricks Python SDK Releases sdkdatabricksengineer ·
Databricks SDK for Python v0.108.0
Version 0.108.0 of the Databricks SDK for Python has been released. This update includes a variety of enhancements and bug fixes across the SDK, improving usability and stability for developers interacting with Databricks services. Engineers and architects using the SDK will benefit from these refinements.
patch - Databricks Java SDK Releases sdkdatabricksengineer ·
Databricks SDK Java v0.107.0: API additions and breaking changes
Databricks SDK Java v0.107.0 introduces several new API methods and enum values for managing workspace agents, pipelines, and vector search endpoints. This release also includes bug fixes for the Databricks CLI profile fallback and token refresh, alongside breaking changes in the vector search endpoint scaling and example guidelines fields. Developers using the SDK should review the API changes for potential impacts on their applications.
feature patch breaking - Databricks Python SDK Releases sdkdatabricksengineer ·
Databricks SDK for Python v0.107.0
Databricks SDK for Python version 0.107.0 has been released. This update includes various enhancements and bug fixes to improve the developer experience when interacting with Databricks platform features programmatically.
patch - Databricks Go SDK Releases sdkinfradatabricksengineer ·
Databricks SDK Go v0.132.0 Release Notes
Databricks SDK Go version 0.132.0 introduces several new features and API changes, including enhanced connector options for pipelines, new enum values for connection types, and updates to supervisor agent and vector search endpoint configurations. These changes allow for more flexible integration and management of Databricks resources.
feature breaking - Databricks Java SDK Releases sdkdatabricksengineer ·
Databricks SDK Java v0.106.0 adds new APIs and fields, including breaking changes
Databricks SDK Java v0.106.0 introduces new packages and client services for disaster recovery and knowledge assistants. It also adds numerous new fields to existing services and makes two breaking changes: making the description field optional for SupervisorAgent and removing the connection field for Tool. These updates are relevant for developers using the Databricks SDK for Java.
feature breaking - Databricks Python SDK Releases sdkdatabricksengineer ·
Databricks SDK for Python v0.106.0 Released
Databricks SDK for Python version 0.106.0 has been released, introducing a variety of enhancements and fixes. These updates aim to improve developer productivity and streamline interactions with the Databricks platform for Python users.
feature patch - Databricks Go SDK Releases sdkinfradatabricksengineer ·
Databricks SDK Go v0.131.0: New PostgreSQL, Disaster Recovery, and Knowledge Assistants APIs
Databricks SDK Go v0.131.0 introduces several new features and API changes. Notably, it adds support for PostgreSQL project undeletion and new Knowledge Assistants APIs, alongside a new disaster recovery package. This release includes breaking changes to the supervisor agents' connection field, requiring users to review and update their configurations.
breaking feature patch - Databricks Go SDK Releases sdkinfradatabricksengineer ·
Databricks SDK Go v0.130.0: Unified Host Support and API Enhancements
Databricks SDK Go v0.130.0 introduces unified host support, allowing single configuration profiles for account and workspace operations. It also removes the experimental unified host field, defaulting to automatic detection. Several new workspace-level API services and fields have been added, alongside bug fixes for CLI token fallback. This update is primarily for engineers and architects working with the Databricks Go SDK, impacting how they configure and interact with Databricks environments.
breaking feature patch - Databricks Java SDK Releases sdkaiawsazuregcpdatabricksengineer ·
Databricks SDK Java v0.105.0: AI agent detection, breaking API changes
Databricks SDK Java version 0.105.0 introduces automatic detection of AI coding agents in user-agent strings and updates the logging abstraction. This release also includes several breaking changes to API method paths, requiring users to update their integrations. The SDK now better supports various AI environments and simplifies logging configurations.
breaking feature patch - Databricks Python SDK Releases sdkdatabricksengineer ·
Databricks SDK for Python v0.105.0
Databricks SDK for Python version 0.105.0 introduces new features and improvements. Key updates include enhancements to workspace management and improved handling of data objects, benefiting engineers and architects working with Databricks.
feature patch - Databricks Python SDK Releases sdkaidatabrickspreviewengineer ·
Databricks SDK Python v0.104.0: SPOG host fixes, AI agent detection
Databricks SDK Python v0.104.0 addresses SPOG host compatibility with new headers and streamlines workspace ID retrieval. It also expands AI agent detection to include more tools like Goose and Copilot, improving how the SDK identifies various AI development environments.
patch feature - Databricks Go SDK Releases sdkinfradatabricksdeprecationengineer ·
Databricks SDK Go v0.129.0 adds new API features and makes breaking changes
Databricks SDK Go version 0.129.0 introduces new API packages for supervisor agents and workspace-level secrets, along with numerous field additions to existing services. This release also includes several breaking changes impacting methods for catalog configuration, environment updates, knowledge assistants, Postgres services, and warehouse overrides, potentially requiring consumer action.
feature breaking patch - Databricks Java SDK Releases sdkazuredatabricksdeprecationengineer ·
Databricks SDK Java v0.104.0: MSI Auth, Default Profile, New APIs
Databricks SDK Java v0.104.0 introduces Azure Managed Service Identity (MSI) authentication, supports default profiles in `.databrickscfg`, and adds numerous API enhancements for catalog, ML, and Postgres services. This release also fixes several bug issues including error response handling and token scope mismatches. It also includes breaking changes by removing specific fields from Postgres SyncedTableSpec and CustomerFacingIngressNetworkPolicyRequestDestination.
feature patch breaking - Databricks Go SDK Releases sdkinfradatabrickspreviewengineer ·
Databricks SDK Go v0.128.0: Host Metadata Resolver and SPOG Compatibility
Databricks SDK Go v0.128.0 introduces a new experimental `config.DefaultHostMetadataResolverFactory` for shared resolvers and enhances SPOG host compatibility by adding the `X-Databricks-Org-Id` header to specific API calls. It also optimizes `WorkspaceClient.CurrentWorkspaceID()` to use the configured Workspace ID directly, reducing API round trips and fixing potential authentication failures.
feature patch - Databricks Python SDK Releases sdkinfradatabricksengineer ·
Databricks SDK for Python v0.103.0: Drops Python 3.8/3.9, adds unified hosts
Databricks SDK for Python version 0.103.0 introduces support for unified hosts, simplifying configuration for account and workspace operations. This release also drops support for Python 3.8 and 3.9, requiring users to upgrade to Python 3.10 or higher, aligning with Databricks Runtime LTS. Several new API methods and fields have been added for various services including Postgres, Apps, and Vector Search.
breaking feature patch - Databricks Go SDK Releases sdkinfraazuregcpdatabricksdeprecationengineer ·
Databricks SDK Go v0.127.0: Go 1.24+, HostMetadataResolver, LimitIterator
This release of the Databricks SDK for Go updates the minimum Go version to 1.24 and introduces a new HostMetadataResolver hook for custom host metadata resolution. It also adds a LimitIterator for controlled lazy iteration and includes numerous bug fixes related to token acquisition and caching, impacting developers working with Databricks authentication across various cloud providers.
breaking feature patch