databricksuserrole Resource

API Documentation

This resource allows you to attach a role or databricks_instance_profile (AWS) to databricks_user.

-> This resource can be used with an account or workspace-level provider.

Example Usage

Adding AWS instance profile to a user

resource "databricks_instance_profile" "instance_profile" {
  instance_profile_arn = "my_instance_profile_arn"
}

resource "databricks_user" "my_user" {
  user_name = "me@example.com"
}

resource "databricks_user_role" "my_user_role" {
  user_id = databricks_user.my_user.id
  role    = databricks_instance_profile.instance_profile.id
}

Adding user as administrator to Databricks Account

provider "databricks" {
  host          = "https://accounts.cloud.databricks.com"
  account_id    = var.databricks_account_id
  client_id     = var.client_id
  client_secret = var.client_secret
}

resource "databricks_user" "my_user" {
  user_name = "me@example.com"
}

resource "databricks_user_role" "my_user_account_admin" {
  user_id = databricks_user.my_user.id
  role    = "account_admin"
}

Argument Reference

The following arguments are supported:

• user_id - (Required) This is the id of the user resource.
• role - (Required) Either a role name or the ARN/ID of the instance profile resource.
• api - (Optional) Specifies whether to use account-level or workspace-level API. Valid values are account and workspace. When not set, the API level is inferred from the provider host.

Attribute Reference

In addition to all arguments above, the following attributes are exported:

• id - The id in the format <user_id>|<role>.

Import

!> Importing this resource is not currently supported.

Related Resources

The following resources are often used in the same context:

• End to end workspace management guide.
• 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_instance_profile to manage AWS EC2 instance profiles that users can launch databricks_cluster and access data, like databricks_mount.
• databricks_user to manage users, that could be added to databricks_group within the workspace.
• databricks_user data to retrieve information about databricks_user.