Databricks
Databricks blog and Terraform provider releases.
- Databricks Java SDK Releases sdkdatabricksengineer ·
Databricks SDK Java v0.114.0: Workspace ID header change, new API fields
Databricks SDK Java v0.114.0 updates the workspace addressing header for workspace-scoped API calls and introduces new fields related to token management and job/pipeline deployments. These changes provide enhanced control and visibility for developers managing Databricks resources.
breaking feature patch - Databricks Go SDK Releases sdkmldatabricksengineer ·
Databricks SDK Go v0.139.0: Feature Engineering API & Pipeline Parameter Updates
This release of the Databricks SDK for Go introduces new methods for managing feature engineering streams and adds parameter fields to pipeline tasks. These updates enhance the SDK's capabilities for managing ML workflows and pipeline configurations, affecting engineers working with Databricks' machine learning and data pipeline services.
feature breaking - Databricks Java SDK Releases sdkdatadatabricksengineer ·
Databricks SDK Java v0.113.0 Adds Stream Management, Several Breaking Changes
Databricks SDK Java v0.113.0 introduces new methods for managing streaming jobs within the feature engineering service. It also adds parameter fields to pipeline and job-related objects. Two breaking changes are noted: the removal of `catalogId` from `CatalogCatalogStatus` and `syncedTableId` from `SyncedTableSyncedTableStatus`.
feature breaking - Databricks Java SDK Releases sdkdatabricksengineer ·
Databricks SDK Java v0.112.0 Release
Databricks SDK Java version 0.112.0 introduces several new methods and fields across various services, including Lakeview, Postgres, Dashboards, IAM, Jobs, and ML features. It also includes breaking changes to fields in the bundle and marketplace services, and a change to pagination for cluster events. These updates provide enhanced functionality and control for developers interacting with Databricks services.
feature breaking patch - Databricks Go SDK Releases sdkinfradatabricksengineer ·
Databricks SDK Go v0.136.0: New features and breaking changes
Databricks SDK Go v0.136.0 introduces new methods for branch management and updates to IAM and job requests. Several breaking changes affect bundle operations, versioning, marketplace listings, and cluster event pagination. These updates require developers using the SDK to review and potentially adjust their code to maintain compatibility.
feature breaking - Databricks Go SDK Releases sdkmldatabricksengineer ·
Databricks SDK for Go v0.133.0 includes new IAM and Feature Engineering APIs
Databricks SDK for Go v0.133.0 introduces new methods for account and workspace-level IAM v2, expanding capabilities for managing workspace assignments. It also enhances Feature Engineering APIs with new fields for ML features and includes several other API additions and modifications. These changes provide developers with more granular control over IAM and feature management, though some updates may be breaking.
breaking 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 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 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 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 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 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