v0.176.0

Release v0.175.0 adds the lakewatch package and workspaceClient.lakewatch() service, plus new batch methods for aiFunctions() (createBatch, getBatch, listBatches, cancelBatch) and feature spec methods for featureEngineering() (createFeatureSpec, deleteFeatureSpec, getFeatureSpec). It also has one breaking change: the CRITICAL value is removed from jobs.AiRuntimeTaskPriorityClass.

Add viewName field for com.databricks.sdk.service.ml.IngestionDestination.

v0.173.0 adds the computemigrations and genieagents packages, sandbox file upload and download, a JOB_COMPLETION trigger type, serverless compute for job clusters, and a FEATURE securable type. The main breaking change is a reshape of the iamv2 APIs: accountId, groupId, userId, and principalId fields are removed in favor of resource-style name and parent fields, and the accountIamV2 and workspaceIamV2 method paths and argument orders change.

Databricks SDK for Java v0.172.0 fixes CLI authentication so that small wrapper scripts, such as launcher scripts or version manager shims, are no longer mistaken for the legacy Python CLI, which now only applies to the pip entry point. The release also adds budget spend status methods to the account budgets service and an aiFunctionTask field across the jobs task types, with matching aiFunctionTaskOutput on run output.

Databricks SDK for Java v0.171.0 adds AgentKit permission methods for memory and session stores, Feature Engineering materialization set methods, and new fields across data quality, jobs, ML, pipelines, and sandbox APIs. The release also adds refresh-by-path selection fields to pipeline updates and a fileOutput option on jobs SQL outputs.

Release v0.170.0 adds startEndpoint() and stopEndpoint() methods for vector search endpoints, along with new STARTING, STOPPING, and STOPPED status values. It also adds OneDrive ingestion support for pipelines, an includeExternalSpend option for budgets, and new relativeError, TableTrigger, and regex fields.