group_member.md

subcategory
Security

databricks_group_member Resource

This resource allows you to attach users, service_principal, and groups as group members.

To attach members to groups in the Databricks account, the provider must be configured with host = "https://accounts.cloud.databricks.com" on AWS deployments or host = "https://accounts.azuredatabricks.net" and authenticate using AAD tokens on Azure deployments

Example Usage

After the following example, Bradley would have direct membership in group B and transitive membership in group A.

resource "databricks_group" "a" {
  display_name = "A"
}

resource "databricks_group" "b" {
  display_name = "B"
}

resource "databricks_group_member" "ab" {
  group_id  = databricks_group.a.id
  member_id = databricks_group.b.id
}

resource "databricks_user" "bradley" {
  user_name = "[email protected]"
}

resource "databricks_group_member" "bb" {
  group_id  = databricks_group.b.id
  member_id = databricks_user.bradley.id
}

Argument Reference

The following arguments are supported:

• group_id - (Required) This is the id of the group resource.
• member_id - (Required) This is the id of the group, service principal, or user.

Attribute Reference

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

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

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_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_ip_access_list to allow access from predefined IP ranges.
• databricks_service_principal to grant access to a workspace to an automation tool or application.
• databricks_user to manage users, that could be added to databricks_group within the workspace.
• databricks_user data to retrieve information about databricks_user.
• databricks_user_instance_profile to attach databricks_instance_profile (AWS) to databricks_user.