Databricks SDK for Python adds job pipeline refresh fields
sdkdatadatabricksengineer
patch
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.
- →Add effective_operational_email_custom_recipient and operational_email_custom_recipient fields for databricks.sdk.service.settingsv2.Setting
Enhancements (3) ›
Add full_refresh_selection, refresh_flow_selection, refresh_selection and reset_checkpoint_selection fields for databricks.sdk.service.jobs.PipelineParams
Add full_refresh_selection, refresh_flow_selection, refresh_selection and reset_checkpoint_selection fields for databricks.sdk.service.jobs.PipelineTask
- Add effective_operational_email_custom_recipient and operational_email_custom_recipient fields for databricks.sdk.service.settingsv2.Setting
Read the original announcement →
https://github.com/databricks/databricks-sdk-py/releases/tag/v0.110.0
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