databricks-cli

Note

Databricks recommends that you use newer Databricks CLI versions 0.200 and above instead of legacy Databricks CLI versions 0.17 and below (located in this repository). You can find the new CLI at https://github.com/databricks/cli.

If you have been using the code in this repository as a Python SDK for interacting with the Databricks APIs, we recommend you use the new dedicated SDK package that can be found at https://github.com/databricks/databricks-sdk-py.

databricks-cli

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The Databricks Command Line Interface (CLI) is an open source tool which provides an easy to use interface to the Databricks platform. The CLI is built on top of the Databricks REST APIs.

Note: This CLI is no longer under active development and has been released as an experimental client.

Please leave bug reports as issues on our GitHub project <https://github.com/databricks/databricks-cli>_.

Requirements

• Python Version >= 3.7

Installation

To install simply run pip install --upgrade databricks-cli

Then set up authentication using username/password or authentication token <https://docs.databricks.com/api/latest/authentication.html#token-management>_. Credentials are stored at ~/.databrickscfg.

• databricks configure (enter hostname/username/password at prompt)
• databricks configure --token (enter hostname/auth-token at prompt)

Multiple connection profiles are also supported with databricks configure --profile <profile> [--token]. The connection profile can be used as such: databricks workspace ls --profile <profile>.

To test that your authentication information is working, try a quick test like databricks workspace ls.

Known Issues

AttributeError: 'module' object has no attribute 'PROTOCOL_TLSv1_2'

The Databricks web service requires clients speak TLSV1.2. The built in version of Python for MacOS does not have this version of TLS built in.

To use the Databricks CLI you must install a version of Python that has ssl.PROTOCOL_TLSv1_2. For MacOS, the easiest way may be to install Python with Homebrew <https://brew.sh/>_.

Using Docker

.. code::

# build image
docker build -t databricks-cli .

# run container
docker run -it databricks-cli

# run command in docker
docker run -it databricks-cli fs --help

Documentation

For the latest CLI documentation, see

• Databricks <https://docs.databricks.com/user-guide/dev-tools/databricks-cli.html>_
• Azure Databricks <https://learn.microsoft.com/en-us/azure/databricks/dev-tools/cli>_