subcategory |
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AWS |
-> Note This resource has an evolving API, which will change in the upcoming versions of the provider in order to simplify user experience.
This resource to configure root bucket new workspaces within AWS.
It is important to understand that this will require you to configure your provider separately for the multiple workspaces resources. This will point to https://accounts.cloud.databricks.com for the HOST and it will use basic auth as that is the only authentication method available for multiple workspaces api.
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 bottom left corner of https://accounts.cloud.databricks.com/"
}
resource "aws_s3_bucket" "root_storage_bucket" {
bucket = "${var.prefix}-rootbucket"
acl = "private"
versioning {
enabled = false
}
}
resource "databricks_mws_storage_configurations" "this" {
provider = databricks.mws
account_id = var.databricks_account_id
storage_configuration_name = "${var.prefix}-storage"
bucket_name = aws_s3_bucket.root_storage_bucket.bucket
}
The following arguments are required:
bucket_name
- name of AWS S3 bucketaccount_id
- Account Id that could be found in the bottom left corner of Accounts Consolestorage_configuration_name
- name under which this storage configuration is stored
In addition to all arguments above, the following attributes are exported:
id
- Canonical unique identifier for the mws storage configurations.storage_configuration_id
- (String) id of storage config to be used fordatabricks_mws_workspace
resource.
-> Note Importing this resource is not currently supported.
The following resources are used in the same context:
- Provisioning Databricks on AWS guide.
- Provisioning Databricks on AWS with PrivateLink guide.
- databricks_mws_credentials to configure the cross-account role for creation of new workspaces within AWS.
- 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_workspaces to set up workspaces in E2 architecture on AWS.