added documentation for db_dbfs_file resource and updated toc

docs/source/provider/resources/db_dbfs_file.md

@@ -0,0 +1,51 @@
+# Resource: db_dbfs_file
+
+This is a resource that lets you create, get and delete files in DBFS (Databricks File System).
+
+## Example Usage
+
+.. code-block:: tf
+
+    resource "db_dbfs_file" "my_dbfs_file" {
+      content = filebase64("README.md")
+      path = "/sri/terraformdbfs/example/README.md"
+      overwrite = true
+      mkdirs = true
+      validate_remote_file = true
+    }
+
+## Argument Reference
+
+The following arguments are supported:
+
+.. _r_dbfs_file_content:
+* :ref:`content <r_dbfs_file_content_>` - **(Required)** The content of the file as a base64 encoded string.
+
+.. _r_dbfs_file_path:
+* :ref:`path <r_dbfs_file_path_>` - **(Optional)** The path of the file in which you wish to save.
+
+.. _r_dbfs_file_overwrite:
+* :ref:`overwrite <r_dbfs_file_overwrite>` - **(Optional)** This is used to determine whether it should delete the 
+existing file when with the same name when it writes. The default is set to false.
+
+.. _r_dbfs_file_mkdirs:
+* :ref:`mkdirs <r_dbfs_file_mkdirs>` - **(Optional)** When the resource is created, this field is used to determine
+if it needs to make the parent directories. The default value is set to true.
+
+.. _r_dbfs_file_validate_remote_file:
+* :ref:`validate_remote_file <r_dbfs_file_validate_remote_file>` - **(Optional)** This is used to compare the 
+actual contents of the file to determine if the remote file is valid or not. If the base64 content is different 
+it will attempt to do a delete, create.
+
+
+## Attribute Reference
+
+In addition to all arguments above, the following attributes are exported:
+
+.. _r_dbfs_file_file_size:
+* :ref:`file_size <r_dbfs_file_file_size>` - The file size of the file that is being tracked by this resource in bytes.
+
+
+## Import
+
+.. Note:: Importing this resource is not currently supported.

docs/source/provider/resources_index.rst

@@ -13,6 +13,7 @@ This section contains all the resources that can be managed by the Databricks Te
    :caption: Contents:
 
    db_cluster <resources/db_cluster.md>
+   db_dbfs_file <resources/db_dbfs_file.md>
    db_job <resources/db_job.md>
    db_instance_pool <resources/db_instance_pool.md>
    db_notebook <resources/db_notebook.md>