⚠️ Caution: Databricks does not recommend hard-coding credentials into arguments, as they can be exposed in plain text in version control systems. Once the SDK finds a compatible set of credentials that it can use, it stops searching:Ĭredentials that are hard-coded into configuration arguments. You can instruct the Databricks SDK for Java to use a specific authentication method by instantiating the DatabricksConfig class and setting the auth_type as described in the following sections.įor each authentication method, the SDK searches for compatible authentication credentials in the following locations, in the following order. If the SDK is unsuccessful at this point, it returns an authentication error and stops running.
By default, the Databricks SDK for Java tries the following authentication methods, in the following order, until it succeeds: If you run the Databricks Terraform Provider, the Databricks SDK for Go, the Databricks SDK for Python, the Databricks CLI, or applications that target the Databricks SDKs for other languages, most likely they will all interoperate nicely together. Additional authentication configuration options.press for autocompletion In this section WorkspaceClient workspace = new WorkspaceClient()
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