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Databricks client unified authentication | Databricks Documentation

Databricks client unified authentication centralizes setting up and automating authentication to Databricks as part of OAuth authorization. It enables you to configure Databricks authentication once and then use that configuration across multiple Databricks tools and SDKs without further authentication configuration changes.

Participating Databricks tools and SDKs include:

• The Databricks CLI
• The Databricks Terraform provider
• Databricks Connect
• The Databricks extension for Visual Studio Code
• The Databricks SDK for Python
• The Databricks SDK for Java
• The Databricks SDK for Go

All participating tools and SDKs accept special environment variables and Databricks configuration profiles for authentication. The Databricks Terraform provider and the Databricks SDKs for Python, Java, and Go also accept direct configuration of authentication settings within code. For details, see Local development tools for the tool's or SDK's documentation.

Whenever a tool or SDK must authorize access to Databricks, it tries the following types of authentication in the following order by default. When the tool or SDK succeeds with the type of authentication it tries, it stops trying to authenticate with the remaining authentication types. To force an SDK to authenticate with a specific authentication type, set the Config API's Databricks authentication type field.

1. Databricks personal access token authentication
2. Authorize unattended access to Databricks resources with a service principal using OAuth
3. Authorize user access to Databricks with OAuth

For each authentication type that the participating tool or SDK tries, the tool or SDK tries to find authentication credentials in the following locations, in the following order. When the tool or SDK succeeds in finding authentication credentials that can be used, the tool or SDK stops trying to find authentication credentials in the remaining locations.

1. Credential-related Config API fields (for SDKs).
2. Credential-related environment variables.
3. Credential-related fields in the DEFAULT configuration profile within the .databrickscfg file. To set configuration profile fields, see Databricks configuration profiles.

To provide maximum portability for your code, Databricks recommends that you create a custom configuration profile within the .databrickscfg file, add the required fields below for your target Databricks authentication type to the custom configuration profile, and then set the DATABRICKS_CONFIG_PROFILE environment variable to the name of the custom configuration profile.

The following tables list the names and descriptions of the supported environment variables and fields for Databricks client unified authentication. In the following tables:

• Environment variable, where applicable, is the name of the environment variable.
• .databrickscfg field, where applicable, is the name of the field within a Databricks configuration profiles file. To set .databrickscfg fields, see Databricks configuration profiles.
• Terraform field, where applicable, is the name of the field within a Databricks Terraform configuration. To set Databricks Terraform fields, see Authentication in the Databricks Terraform provider documentation.
• Config field is the name of the field within the Config API for the specified SDK.

Use these environment variables or fields to specify non-default settings for .databrickscfg. See also Databricks configuration profiles.

Use this environment variable or field to force an SDK to use a specific type of Databricks authentication.

Supported Databricks authentication type field values include:

• oauth-m2m: Set this value if you are using a Databricks service principal for M2M authentication with OAuth 2.0. See Authorize unattended access to Databricks resources with a service principal using OAuth.
• pat: Set this value if you are using Databricks personal access tokens. See Databricks personal access token authentication.
• databricks-cli: Set this value if you are using the Databricks CLI with OAuth 2.0. See Authorize user access to Databricks with OAuth.
• oidc-token: Set this value if you are using OAuth token federation. See Authenticate access to Databricks using OAuth token federation.
• env-oidc: Set this value if you are using OAuth token federation. See Authenticate access to Databricks using OAuth token federation.
• github-oidc: Set this value if you are using OAuth token federation with GitHub. For an example, see Enable workload identity federation in CI/CD.

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