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"
}

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

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

id - Path of directory on workspace
object_id - Unique identifier for a DIRECTORY
workspace_path - path on Workspace File System (WSFS) in form of /Workspace + path

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

The resource directory can be imported using directory path:

terraform import databricks_directory.this /path/to/directory

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.