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databricks Databricks Python SDK Releases · · 0.127.0

Databricks Python SDK v0.127.0 Adds Job, Pipeline, and Networking API Fields

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patch

Databricks Python SDK v0.127.0 introduces new API fields across its services, enhancing configuration capabilities for AI Runtime Tasks and job orchestration. These additions provide more granular control over MLflow artifact locations and job triggers, as well as improved data pipeline source configurations with API connector options. The update also includes fields for Google Cloud VPC Service Controls and API endpoints, improving cloud network integration. This release primarily benefits developers and architects leveraging the SDK for advanced Databricks job management and data platform development.

  • →Add mlflow_artifact_location field for databricks.sdk.service.jobs.AiRuntimeTask
  • →Add trigger_details field for databricks.sdk.service.jobs.BaseJob
  • →Add triggers field for databricks.sdk.service.jobs.CreateJob
  • →Add trigger_details field for databricks.sdk.service.jobs.Job
  • →Add triggers field for databricks.sdk.service.jobs.JobSettings
Enhancements (8) ›
  • Add mlflow_artifact_location field for databricks.sdk.service.jobs.AiRuntimeTask
  • Add trigger_details field for databricks.sdk.service.jobs.BaseJob
  • Add triggers field for databricks.sdk.service.jobs.CreateJob
  • Add trigger_details field for databricks.sdk.service.jobs.Job
  • Add triggers field for databricks.sdk.service.jobs.JobSettings
  • Add api_source_connector_options field for databricks.sdk.service.pipelines.ConnectorOptions
  • Add api_source_connector_config field for databricks.sdk.service.pipelines.SourceConfig
  • Add all_vpc_sc_services and google_api_endpoints fields for databricks.sdk.service.settings.GcpEndpoint
Read the original announcement →

https://github.com/databricks/databricks-sdk-py/releases/tag/v0.127.0

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