directory.md

subcategory
Workspace

databricks_directory Resource

This resource allows you to manage directories in Databricks Workpace.

Example Usage

You can declare a Terraform-managed directory by specifying the path attribute of the corresponding directory.

resource "databricks_directory" "my_custom_directory" {
  path = "/my_custom_directory"
}

Argument Reference

The following arguments are supported:

• path - (Required) The absolute path of the directory, beginning with "/", e.g. "/Demo".
• delete_recursive - Whether or not to trigger a recursive delete of this directory and its resources when deleting this on Terraform. Defaults to false

Attribute Reference

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

• id - Path of directory on workspace
• object_id - Unique identifier for a DIRECTORY

Access Control

• databricks_permissions can control which groups or individual users can access folders.

Import

The resource directory can be imported using directory path:

$ terraform import databricks_directory.this /path/to/directory

Related Resources

The following resources are often used in the same context:

• End to end workspace management guide.
• databricks_notebook to manage Databricks Notebooks.
• databricks_notebook data to export a notebook from Databricks Workspace.
• databricks_notebook_paths data to list notebooks in Databricks Workspace.
• databricks_repo to manage Databricks Repos.
• databricks_spark_version data to get Databricks Runtime (DBR) version that could be used for spark_version parameter in databricks_cluster and other resources.
• databricks_workspace_conf to manage workspace configuration for expert usage.