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mws_storage_configurations.md

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Deployment

databricks_mws_storage_configurations Resource

-> Initialize provider with alias = "mws", host = "https://accounts.cloud.databricks.com" and use provider = databricks.mws

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.

Example Usage

variable "databricks_account_id" {
  description = "Account Id that could be found in the top right corner of https://accounts.cloud.databricks.com/"
}

resource "aws_s3_bucket" "root_storage_bucket" {
  bucket = "${var.prefix}-rootbucket"
  acl    = "private"
}

resource "aws_s3_bucket_versioning" "root_versioning" {
  bucket = aws_s3_bucket.root_storage_bucket.id
  versioning_configuration {
    status = "Disabled"
  }
}

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
}

Argument Reference

The following arguments are required:

  • bucket_name - name of AWS S3 bucket
  • account_id - Account Id that could be found in the top right corner of Accounts Console
  • storage_configuration_name - name under which this storage configuration is stored

Attribute Reference

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 for databricks_mws_workspace resource.

Import

This resource can be imported by Databricks account ID and storage configuration ID.

terraform import databricks_mws_storage_configurations.this '<account_id>/<storage_configuration_id>'

~> This resource does not support updates. If your configuration does not match the existing resource, the next terraform apply will cause the resource to be destroyed and recreated. After importing, verify that the configuration matches the existing resource by running terraform plan.

Related Resources

The following resources are used in the same context: