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 Python SDK Releases sdkdatadatabricksengineer ·
Databricks SDK for Python v0.118.0 Adds Data API Methods
Databricks SDK for Python version 0.118.0 introduces new methods for managing the Data API for Postgres, enhancing programmatic control over data services. The release also adds several new fields to existing attributes, including `capacity_reservation_group` for Azure compute and `serverless_compute_id` for pipeline configurations, along with `endpoint_id` for vector indexes. These updates are primarily relevant to developers and engineers interacting with Databricks services via the Python SDK.
patch - Databricks Go SDK Releases sdkdatadatabricksengineer ·
Databricks SDK Go v0.147.0: Add ServerlessComputeId to Pipeline Specs
The Databricks SDK for Go version 0.147.0 introduces the `ServerlessComputeId` field to several pipeline-related structures, including `ClonePipelineRequest`, `CreatePipeline`, `EditPipeline`, and `PipelineSpec`. This enhancement allows users to specify serverless compute configurations when managing Databricks pipelines. The update is relevant for developers and architects working with Databricks pipelines and serverless compute capabilities.
patch - Databricks Go SDK Releases sdkdatadatabricksengineer ·
Databricks SDK Go v0.146.0 Adds Postgres API Methods, Azure Compute Attribute
Databricks SDK Go version 0.146.0 introduces new methods for managing Postgres instances at the workspace level, including create, delete, get, and update operations. It also adds a `CapacityReservationGroup` field to Azure compute attributes. These enhancements aim to streamline cloud resource management for Databricks users working with Postgres and Azure infrastructure.
patch - Databricks Go SDK Releases sdkdatadatabricksengineer ·
Databricks SDK Go v0.144.0 Adds TypeOverrides
Databricks SDK Go version 0.144.0 introduces new TypeOverrides fields for database.SyncedTableSpec and postgres.SyncedTableSyncedTableSpec. This enhancement allows for more granular control over table type configurations within the SDK. The update is relevant for Go developers using the Databricks SDK for data management tasks.
patch - Databricks Go SDK Releases sdkdatadatabricksengineer ·
Databricks SDK Go v0.143.0 Adds Accelerated Sync Field
Databricks SDK Go version 0.143.0 introduces a new `AcceleratedSync` field to `database.SyncedTableSpec` and `postgres.SyncedTableSyncedTableSpec`. This enhancement aims to improve synchronization performance for tables. The update is available to all users of the Go SDK for Databricks.
patch - Databricks Java SDK Releases sdkdatadatabricksengineer ·
Databricks SDK Java v0.118.0: Canonical Bearer token handling
Databricks SDK for Java version 0.118.0 introduces a bug fix for canonicalizing Bearer tokens in Authorization headers. This change ensures consistent handling of tokens, which is crucial for authentication and authorization in API interactions. The update includes an API change with a new `getCanonicalTokenType()` method for the `Token` class. This release is for developers using the Java SDK.
patch - Databricks Java SDK Releases sdkdatadatabricksengineer ·
Databricks Java SDK v0.116.0: Optional Client ID in OAuth
Databricks Java SDK v0.116.0 allows the client ID to be optional in OAuth token acquisition. This fix prevents NullPointerExceptions for users authenticating via browser OAuth flows where the IdP JWT lacks a client ID, enabling account-wide token federation by omitting the parameter when it's absent. The change impacts developers using the Java SDK for OAuth authentication.
patch - Databricks Java SDK Releases sdkdatadatabricksengineer ·
Databricks SDK Java v0.114.0 Adds Token Management API and Workspace ID Changes
Databricks SDK Java v0.114.0 updates workspace addressing and introduces new token management capabilities. The change to workspace ID headers improves compatibility across different identifier formats. New fields and methods enhance control over job and pipeline deployments, as well as token creation and information retrieval, impacting engineers working with Databricks jobs, pipelines, and authentication.
patch - Databricks Java SDK Releases sdkdatadatabricksengineer ·
Databricks SDK for Java v0.113.0 adds feature engineering APIs, includes breaking changes
Databricks SDK for Java version 0.113.0 introduces new methods for managing streaming objects within the feature engineering service. It also adds several new fields to existing Job and Pipeline task configurations. However, this release includes breaking changes, removing the `catalogId` and `syncedTableId` fields from specific Postgres-related status objects, which may require consumers to update their code.
patch - Databricks Python SDK Releases sdkdatadatabricksengineer ·
Databricks SDK for Python adds job pipeline refresh fields
Databricks SDK for Python version 0.110.0 introduces new fields for managing pipeline refresh behavior within job configurations. This enhancement provides more granular control over how data pipelines are refreshed, affecting users who develop and manage automated data workflows on Databricks. The update is available now as part of the SDK release.
patch - Databricks Python SDK Releases sdkdatadatabricksengineer ·
Databricks SDK for Python v0.109.0: New IAM, ML, and Serving features
Databricks SDK for Python version 0.109.0 introduces new methods for managing workspace assignments and several new fields across IAM, ML, and serving functionalities. Notably, it includes breaking changes to the `ListFeaturesRequest` and `list_features` method, impacting how features are requested and listed. This release is primarily for Python developers working with the Databricks platform, particularly those involved in account and workspace management, feature engineering, and model serving.
breaking patch - Databricks Python SDK Releases sdkdatadatabricksengineer ·
Databricks SDK for Python v0.108.0 Updates
Databricks SDK for Python v0.108.0 introduces new fields for job task configuration and adds new connection types for catalog integrations. It also includes a breaking change by removing an unspecified resource name field. This release impacts developers building and managing Databricks workloads using the Python SDK.
breaking patch