For automated workflows or large files, the Databricks SDK for Python provides a dedicated download function.
from databricks.sdk import WorkspaceClient w = WorkspaceClient() with open('local_file.csv', 'wb') as f: w.files.download('/dbfs/path/to/remote_file.csv').write_to(f) Use code with caution. download dbfs file from databricks
: The read API call is limited to 1 MB of data at a time. For automated workflows or large files, the Databricks
You can download files directly through your browser by moving them to the /FileStore directory, which is exposed via a public endpoint. You can download files directly through your browser
The Databricks CLI is the most robust method for downloading both individual files and entire directories.
To download files from the Databricks File System (DBFS) to your local machine, you can use the , a web browser with FileStore , or the Databricks REST API . While the standard Databricks UI does not provide a direct "Download" button for most DBFS locations, these workarounds allow you to retrieve your data efficiently. Method 1: Using the Databricks CLI (Recommended)