Databricks
Databricks blog and Terraform provider releases.
- Terraform Databricks Provider Releases terraforminfragcpdatabrickspreviewengineer ·
Databricks Terraform Provider v1.116.0: Git credential, Agent Bricks, and Metastore updates
Databricks Terraform Provider v1.116.0 adds the `principal_id` argument to manage Git credentials for service principals and supports permissions for Agent Bricks resources. It also includes bug fixes for metastore updates, UC object destruction, and library handling, alongside improvements to vector search index timeouts and child group collection.
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 - Terraform Databricks Provider Releases terraforminfraawsazuregcpdatabricksengineer ·
Databricks Terraform Provider v1.113.0 Adds Postgres Catalog and Synced Table Resources
Databricks Terraform Provider v1.113.0 introduces new resources for managing Postgres catalogs and synced tables, along with workspace base environments. It also enhances configuration flexibility by allowing explicit cloud type specification and API level control for account/workspace resources, impacting engineers and architects managing Databricks infrastructure via Terraform.
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