databricks-cli-uc 0.16.3.13

A command line interface for Databricks with Unity Catalog extensions

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.

This -uc variant of databricks-cli includes commands for interacting with the Unity Catalog API using the unity-catalog command. This UC functionality is in the process of being merged to the mainline databricks-cli module and is available here for early access.

Note: This CLI is under active development and is released as an experimental client. This means that interfaces are still subject to change.

If you’re interested in contributing to the project please reach out. In addition, please leave bug reports as issues on our GitHub project.

Requirements

• Python Version > 2.7.9 or > 3.6

Installation

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

Then set up authentication using username/password or authentication token. 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.

Using Docker

# 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

• Azure Databricks