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databricks Databricks Java SDK Releases · · 0.154.0

Databricks SDK for Java v0.154.0 Enhances Feature Engineering & ML Policy APIs

sdkmldatabricksgaengineer
patch

The Databricks SDK for Java has been updated to version 0.154.0, introducing several new API capabilities. This release enhances programmatic control over Databricks workflows, notably by adding a `purgeFeatureEntities()` method for feature engineering and a `deny` field for catalog policies. Developers can also now specify `budgetPolicyId` and `tags` for ML ingestion and materialized features. These updates provide more granular management options for data governance and machine learning resource configurations within the Databricks platform.

  • →Add purgeFeatureEntities() method for workspaceClient.featureEngineering() service
  • →Add deny field for com.databricks.sdk.service.catalog.PolicyInfo
  • →Add budgetPolicyId and tags fields for com.databricks.sdk.service.ml.IngestionConfig
  • →Add budgetPolicyId and tags fields for com.databricks.sdk.service.ml.MaterializedFeature
  • →Add POLICY_TYPE_DENY enum value for com.databricks.sdk.service.catalog.PolicyType
Enhancements (5) ›
  • Add purgeFeatureEntities() method for workspaceClient.featureEngineering() service
  • Add deny field for com.databricks.sdk.service.catalog.PolicyInfo
  • Add budgetPolicyId and tags fields for com.databricks.sdk.service.ml.IngestionConfig
  • Add budgetPolicyId and tags fields for com.databricks.sdk.service.ml.MaterializedFeature
  • Add POLICY_TYPE_DENY enum value for com.databricks.sdk.service.catalog.PolicyType
Read the original announcement →

https://github.com/databricks/databricks-sdk-java/releases/tag/v0.154.0

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