group_role.md

subcategory
Security

databricks_group_role Resource

This resource allows you to attach a role to databricks_group. This role could be a pre-defined role such as account admin, or an instance profile ARN.

Example Usage

Attach an instance profile to a group

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

resource "databricks_group" "my_group" {
  display_name = "my_group_name"
}

resource "databricks_group_role" "my_group_instance_profile" {
  group_id = databricks_group.my_group.id
  role     = databricks_instance_profile.instance_profile.id
}

Attach account admin role to an account-level group

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_group" "my_group" {
  display_name = "my_group_name"
}

resource "databricks_group_role" "my_group_account_admin" {
  group_id = databricks_group.my_group.id
  role     = "account_admin"
}

Argument Reference

The following arguments are supported:

• group_id - (Required) This is the id of the group resource.
• role - (Required) Either a role name or the ARN/ID of the instance profile resource.

Attribute Reference

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

• id - The id for the databricks_group_role object which is in the format <group_id>|<role>.

Import

-> Note 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_aws_bucket_policy data to configure a simple access policy for AWS S3 buckets, so that Databricks can access data in it.
• databricks_cluster_policy to create a databricks_cluster policy, which limits the ability to create clusters based on a set of rules.
• 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_member to attach users and groups as group members.
• databricks_instance_pool to manage instance pools to reduce cluster start and auto-scaling times by maintaining a set of idle, ready-to-use instances.
• databricks_instance_profile to manage AWS EC2 instance profiles that users can launch databricks_cluster and access data, like databricks_mount.
• databricks_user_instance_profile to attach databricks_instance_profile (AWS) to databricks_user.