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
- Terraform Databricks Provider Releases terraformaiinfragcpdatabricksengineer ·
Databricks Terraform Provider v1.118.0: New AI Search resources, bug fixes
Databricks Terraform provider version 1.118.0 introduces new resources for AI Search endpoints and indexes, enhancing AI capabilities. This release also addresses several bugs, including issues with instance pools, entitlements, and workspace configurations on GCP, improving stability and reliability for users managing Databricks resources via Terraform. The update also includes documentation improvements for job tasks and rewrites exporter logging.
patch - Databricks Java SDK Releases sdkinfradatabricks ·
Databricks SDK for Java v0.121.0 adds serverless compute option
The latest release of the Databricks SDK for Java, version 0.121.0, introduces the `serverlessComputeId` field to several pipeline-related requests and specifications. This enhancement allows users to specify serverless compute configurations when managing pipelines. The update is relevant for developers working with Databricks pipelines in Java, enabling more flexible deployment options.
patch - Databricks Java SDK Releases sdkinfradatabricksengineer ·
Databricks SDK Java v0.120.0: API Additions and Breaking Change
Databricks SDK Java version 0.120.0 introduces new methods for managing Postgres data APIs and adds several fields to compute and database specifications. A significant breaking change modifies the `resourceId` field in the `Operation` class to be optional. These updates are relevant for developers using the Java SDK to interact with Databricks services, particularly those managing compute resources or database integrations.
breaking patch - Databricks Go SDK Releases sdkinfradatabricksengineer ·
Databricks SDK Go v0.145.0: Bug fixes and API enhancements
Databricks SDK Go version 0.145.0 includes bug fixes for tag policy routing and several API changes, including a breaking change to the `ResourceId` field in bundle deployments. These updates affect developers working with tags, bundle deployments, and data catalog connections. The release also introduces new fields for vector indexes and adds a new connection type.
breaking patch - Databricks Python SDK Releases sdkinfradatabricksengineer ·
Databricks SDK for Python v0.117.0
Databricks SDK for Python version 0.117.0 introduces new fields for Synced Tables and makes a breaking change to the `resource_id` field in `Operation`. It also includes significant bug fixes for token caching and lazy initialization of `WorkspaceClient.dbutils` to improve performance and stability, particularly in Spark Connect environments. The release also declares `urllib3` as an explicit dependency.
breaking patch - Databricks Java SDK Releases sdkinfradatabricksengineer ·
Databricks SDK Java v0.119.0: New API Packages and Breaking Changes
Databricks SDK Java version 0.119.0 introduces new API packages for AI Search and Bundle Deployments, alongside numerous field additions across various services. Notably, it removes the `com.databricks.sdk.service.bundle` package and its corresponding workspace client service, which are breaking changes. These updates primarily affect developers integrating with Databricks services via the Java SDK, requiring attention to the removal of the bundle service.
patch - Databricks Go SDK Releases sdkinfradatabricksengineer ·
Databricks SDK for Go v0.142.0: New Services and Breaking Changes
Databricks SDK for Go version 0.142.0 introduces new packages for AI Search and Bundle Deployments, along with numerous new fields across various services like Catalog, ML, and Vector Search. This release also includes breaking changes by removing the `bundle` package and its associated workspace-level service. These updates affect Go developers utilizing the Databricks SDK, particularly those working with AI features, deployment pipelines, or relying on the deprecated bundle functionality.
patch - Terraform Databricks Provider Releases terraforminfradatabricksengineer ·
Databricks Terraform Provider v1.117.0: Fix External Location File Events
Databricks Terraform Provider version 1.117.0 fixes a bug in `databricks_external_location` where setting `enable_file_events` to `false` was ignored. This change ensures that when explicitly set to false, the provider now correctly sends this configuration to the Databricks API, preventing unexpected default behavior for file event monitoring. The fix targets users managing external locations via Terraform, ensuring their configuration for file events is respected.
patch - Databricks Java SDK Releases sdkinfradatabricksengineer ·
Databricks SDK Java v0.115.0 adds deployment mode fields
Databricks SDK Java version 0.115.0 introduces new fields related to deployment mode to the `Deployment` and `Version` classes within the bundle service. It also adds connectivity fields to the `Setting` class in the settingsv2 service. These changes enhance configuration and management capabilities for Databricks deployments.
patch - Databricks Go SDK Releases sdkinfradatabricksengineer ·
Databricks SDK for Go v0.141.0 Adds Bundle Deployment Options
Databricks SDK for Go version 0.141.0 introduces new fields to enhance bundle deployment configurations and settings management. These updates allow for more granular control over deployment modes and collaboration platform connectivity, impacting developers using the Go SDK for Databricks. The changes are available in the latest SDK release.
patch - Databricks Go SDK Releases sdkinfradatabricksengineer ·
Databricks SDK for Go v0.140.0: Enhanced Workspace Addressing and API Features
Databricks SDK for Go version 0.140.0 introduces an improved workspace addressing mechanism using `X-Databricks-Workspace-Id` for API calls, enhancing the unification initiative. It also adds several new API fields and methods, including `UpdateTokenManagement` and fields for job and pipeline deployments, benefiting developers working with Databricks workspaces and configurations.
patch - Databricks Python SDK Releases sdkinfradatabricksengineer ·
Databricks SDK for Python v0.113.0
Databricks SDK for Python v0.113.0 introduces internal workspace addressing changes and adds new API methods for feature engineering and token management. It also introduces several new fields related to job deployments, pipeline tasks, and token settings, while removing two fields from the postgres service. These changes affect developers interacting with Databricks services programmatically, with some breaking changes requiring attention.
breaking patch - Terraform Databricks Provider Releases terraforminfragcpdatabricksgaengineer ·
Databricks Terraform Provider v1.116.0 Adds Agent Bricks Permissions, Principal IDs
Databricks Terraform Provider v1.116.0 introduces management of Git credentials for service principals and permissions for Agent Bricks resources. This release addresses several bugs, including issues with metastore updates, UC object destruction, library handling, and vector search index timeouts. These updates are relevant for engineers and architects managing Databricks infrastructure via Terraform.
patch - Databricks Go SDK Releases sdkinfradatabricksengineer ·
Databricks SDK for Go v0.139.0: Feature Engineering API and breaking changes
Databricks SDK for Go version 0.139.0 introduces new methods for managing Feature Engineering streams and adds parameters to job and pipeline configurations. This release also includes breaking changes with the removal of `CatalogId` and `SyncedTableId` fields from PostgreSQL catalog status types, which may require users to update their integrations. The update is relevant for Go developers working with the Databricks platform.
patch - Databricks Go SDK Releases sdkinfradatabricksengineer ·
Databricks SDK Go v0.138.0 addresses config profile loading
Databricks SDK Go v0.138.0 fixes an issue where the configuration file loader would not set the profile name when using the legacy fallback. This change ensures consumers can correctly derive a per-profile identifier, preventing issues where writes under the 'DEFAULT' profile could not be found by subsequent reads. This fix is relevant for users of the Databricks CLI and any applications deriving profile identifiers from the SDK's configuration.
patch - Databricks Python SDK Releases sdkinfradatabricksengineer ·
Databricks SDK for Python: Ruff Integration and Formatting Updates
The Databricks SDK for Python has integrated Ruff for formatting and linting, replacing Black, isort, and autoflake. This change aligns the SDK's formatting with Databricks' internal guidelines and prepares for a unified internal repository. While the underlying code formatting logic is updated, there are no behavioral changes for users of the published SDK.
patch - Databricks Go SDK Releases sdkinfradatabricksengineer ·
Databricks SDK Go v0.137.0: Agent detection, SCIM optimization, API additions
Databricks SDK Go v0.137.0 improves AI agent detection in User-Agent headers and optimizes SCIM requests by excluding entitlements for faster workspace ID retrieval. This update also introduces new API fields for dashboards, apps, materialized features, and synced tables, benefiting developers working with Databricks services. These changes are now available in the latest SDK release.
patch - Databricks Java SDK Releases sdkinfradatabricksengineer ·
Databricks SDK for Java v0.112.0: API additions and breaking changes
Databricks SDK for Java version 0.112.0 introduces several new methods and fields across various services, including workspace, IAM, jobs, and ML. Notably, it includes breaking changes related to required fields in bundle operations, tag types for marketplace listings, and pagination for cluster events. These updates primarily affect developers building applications and integrations with Databricks using the Java SDK.
patch - Databricks Python SDK Releases sdkinfradatabricksengineer ·
Databricks SDK for Python v0.111.0: Bundle package, Lakeview revert, Postgres undelete
Databricks SDK for Python version 0.111.0 introduces a new bundle package and workspace-level services for Lakeview and Postgres, alongside several field additions across various modules. These changes primarily affect developers using the Python SDK for interacting with Databricks services. Notably, two breaking changes are included regarding tag handling for marketplace listings and pagination for cluster events.
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 several new API methods and fields, enhancing functionality for Postgres workspace services and job management. It also includes breaking changes to the bundle operations and marketplace listing requests, requiring users to update their code for compatibility. This release primarily impacts developers using the Go SDK to interact with Databricks services.
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