user.md

subcategory
Security

databricks_user Data Source

-> Note If you have a fully automated setup with workspaces created by databricks_mws_workspaces or azurerm_databricks_workspace, please make sure to add depends_on attribute in order to prevent default auth: cannot configure default credentials errors.

Retrieves information about databricks_user.

Example Usage

Adding user to administrative group

data "databricks_group" "admins" {
  display_name = "admins"
}

data "databricks_user" "me" {
  user_name = "me@example.com"
}

resource "databricks_group_member" "my_member_a" {
  group_id  = data.databricks_group.admins.id
  member_id = data.databricks_user.me.id
}

Argument Reference

Data source allows you to pick groups by the following attributes

• user_name - (Optional) User name of the user. The user must exist before this resource can be planned.
• user_id - (Optional) ID of the user.

Attribute Reference

Data source exposes the following attributes:

• id - The id of the user.
• external_id - ID of the user in an external identity provider.
• user_name - Name of the user, e.g. mr.foo@example.com.
• display_name - Display name of the user, e.g. Mr Foo.
• home - Home folder of the user, e.g. /Users/mr.foo@example.com.
• repos - Personal Repos location of the user, e.g. /Repos/mr.foo@example.com.
• alphanumeric - Alphanumeric representation of user local name. e.g. mr_foo.

Related Resources

The following resources are used in the same context:

• End to end workspace management guide.
• databricks_current_user data to retrieve information about databricks_user or databricks_service_principal, that is calling Databricks REST API.
• databricks_group to manage groups in Databricks Workspace or Account Console (for AWS deployments).
• databricks_group data to retrieve information about databricks_group members, entitlements and instance profiles.
• databricks_group_instance_profile to attach databricks_instance_profile (AWS) to databricks_group.
• databricks_group_member to attach users and groups as group members.
• databricks_permissions to manage access control in Databricks workspace.
• databricks_user to manage users, that could be added to databricks_group within the workspace.
• databricks_user_instance_profile to attach databricks_instance_profile (AWS) to databricks_user.