v0.147.0
Summary
A new account-level service is now available to manage private network gateways. Additionally, the SDK adds a project environment field for compute environments and a dataframe schema field for machine learning request sources.
Summary generated by brickster.ai. For the full changelog and any code/binary attachments, follow the GitHub link above.
More from databricks/databricks-sdk-py
The environment_variables_key field in JobEnvironmentVariables is now required, introducing a breaking change for job configurations. Additionally, the update adds an environment field to SandboxSpec and introduces the table_foreign_delta_deltasharing enum value for SecurableKind.
The Databricks Python SDK introduces a new list_commands method to the workspace sandbox service. This update allows practitioners to programmatically list and inspect commands within Databricks sandbox environments.
The AI functions service now supports an ai_decide method, and multiple Jobs and Tasks models now accept environment variable configurations. Additionally, command_path in DeploymentSpec and api_secret_ref in SchemaRegistryConfig are no longer required fields.
The MaterializedFeature class now includes job_id and pipeline_id fields. Importing the SDK runtime, WorkspaceClient, or dbutils no longer configures the root logger, preventing interference with subsequent logging.basicConfig calls.