subcategory |
---|
Deployment |
-> Note Initialize provider with alias = "mws"
, host = "https://accounts.cloud.databricks.com"
and use provider = databricks.mws
This resource to configure the cross-account role for creation of new workspaces within AWS.
Please follow this complete runnable example with new VPC and new workspace setup. Please pay special attention to the fact that there you have two different instances of a databricks provider - one for deploying workspaces (with host="https://accounts.cloud.databricks.com/"
) and another for the workspace you've created with databricks_mws_workspaces
resource. If you want both creation of workspaces & clusters within workspace within the same terraform module (essentially same directory), you should use the provider aliasing feature of Terraform. We strongly recommend having one terraform module for creation of workspace + PAT token and the rest in different modules.
variable "databricks_account_id" {
description = "Account Id that could be found in the top right corner of https://accounts.cloud.databricks.com/"
}
data "databricks_aws_assume_role_policy" "this" {
external_id = var.databricks_account_id
}
resource "aws_iam_role" "cross_account_role" {
name = "${local.prefix}-crossaccount"
assume_role_policy = data.databricks_aws_assume_role_policy.this.json
tags = var.tags
}
data "databricks_aws_crossaccount_policy" "this" {
}
resource "aws_iam_role_policy" "this" {
name = "${local.prefix}-policy"
role = aws_iam_role.cross_account_role.id
policy = data.databricks_aws_crossaccount_policy.this.json
}
resource "databricks_mws_credentials" "this" {
provider = databricks.mws
account_id = var.databricks_account_id
credentials_name = "${local.prefix}-creds"
role_arn = aws_iam_role.cross_account_role.arn
}
The following arguments are required:
account_id
- (Optional) Account Id that could be found in the top right corner of Accounts Consolecredentials_name
- (Required) name of credentials to registerrole_arn
- (Required) ARN of cross-account role
In addition to all arguments above, the following attributes are exported:
id
- Canonical unique identifier for the mws credentials.creation_time
- (Integer) time of credentials registrationcredentials_id
- (String) identifier of credentials
This resource can be imported by the combination of its identifier and the account id:
terraform import databricks_mws_credentials.this <account_id>/<credentials_id>
The following resources are used in the same context:
- Provisioning Databricks on AWS guide.
- databricks_mws_customer_managed_keys to configure KMS keys for new workspaces within AWS.
- databricks_mws_log_delivery to configure delivery of billable usage logs and audit logs.
- databricks_mws_networks to configure VPC & subnets for new workspaces within AWS.
- databricks_mws_storage_configurations to configure root bucket new workspaces within AWS.
- databricks_mws_workspaces to set up AWS and GCP workspaces.