Databricks Java SDK v0.156.0 Adds AI Gateway and Pipeline Enhancements
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This release of the Databricks Java SDK introduces new methods for managing service user mapped credentials within the AI Gateway. It also enhances the Delta Live Tables (DLT) pipeline service with support for Avro and Protobuf transformer formats and a new `groupName` field for run-as configurations. Developers building integrations with Databricks AI Gateway and DLT using the Java SDK will benefit from these expanded capabilities.
- →Add groupName field for com.databricks.sdk.service.pipelines.RunAs
- →Add avroOptions and protobufOptions fields for com.databricks.sdk.service.pipelines.Transformer
- →Add AVRO and PROTOBUF enum values for com.databricks.sdk.service.pipelines.TransformerFormat
Enhancements (4) ›
Add createMcpServiceUserMappedCredential(), deleteMcpServiceUserMappedCredential() and getMcpServiceUserMappedCredential() methods for workspaceClient.aiGateway() service
- Add groupName field for com.databricks.sdk.service.pipelines.RunAs
- Add avroOptions and protobufOptions fields for com.databricks.sdk.service.pipelines.Transformer
- Add AVRO and PROTOBUF enum values for com.databricks.sdk.service.pipelines.TransformerFormat
Read the original announcement →
https://github.com/databricks/databricks-sdk-java/releases/tag/v0.156.0
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