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.

• →Add create_data_api(), delete_data_api(), get_data_api() and update_data_api() methods for w.postgres workspace-level service
• →Add capacity_reservation_group field for databricks.sdk.service.compute.AzureAttributes
• →Add serverless_compute_id field for databricks.sdk.service.pipelines.ClonePipelineRequest
• →Add serverless_compute_id field for databricks.sdk.service.pipelines.CreatePipeline
• →Add serverless_compute_id field for databricks.sdk.service.pipelines.EditPipeline