databricks-rocket 3.0.5

Keep your local python scripts installed and in sync with a databricks notebook. Shortens the feedback loop to develop projects using a hybrid enviroment

Databricks-Rocket

Databricks-Rocket (short db-rockets), keeps your local Python scripts installed and synchronized with a Databricks notebook. Every change on your local machine is automatically reflected in the notebook. This shortens the feedback loop for developing git-based projects and eliminates the need to set up a local development environment.

Installation

Install databricks-rocket using pip:

pip install databricks-rocket

Setup

Ensure you've created a personal access token in Databricks (offical documentation). Afterward, set up the Databricks CLI by executing:

databricks configure --token

Alternatively, you can set the Databricks token and host in your environment variables:

export DATABRICKS_HOST="mydatabrickshost"
export DATABRICKS_TOKEN="mydatabrickstoken"

If your project isn't already a pip package, you'll need to convert it into one. Use dbrocket for this:

rocket setup

Will create a setup.py for you.

Usage

To Sync Your Project

By default, databricks-rocket syncs your project to DBFS automatically. This allows you to update your code and have those changes reflected in your Databricks notebook without restarting the Python kernel. Simply execute:

rocket launch

You'll then receive the exact command to run in your notebook. Example:

stevenmi@MacBook db-rocket % rocket launch --watch=False
>> Watch activated. Uploaded your project to databricks. Install your project in your databricks notebook by running:
>> %pip install --upgrade pip
>> %pip install  -r /dbfs/temp/stevenmi/db-rocket/requirements.txt
>> %pip install --no-deps -e /dbfs/temp/stevenmi/db-rocket

and following in a new Python cell:
>> %load_ext autoreload
>> %autoreload 2

Finally, add the content in you databricks notebook:

Include non-python files

Upload all root level json files:

rocket launch --glob_path="*,json"

On top also upload all env files:

rocket launch --glob_path="[\"*.json\", \".env*\"]"

When specifying lists, be mindful about the formatting of the parameter string.

To Upload Your Python Package

If you've disabled the watch feature, databricks-rocket will only upload your project as a wheel to DBFS:

rocket launch --watch=False

Example:

stevenmi@MacBook db-rocket % rocket launch --watch=False
>> Watch is disabled. Building creating a python wheel from your project
>> Found setup.py. Building python library
>> Uploaded ./dist/databricks_rocket-2.0.0-py3-none-any.whl to dbfs:/temp/stevenmi/db-rocket/dist/databricks_rocket-2.0.0-py3-none-any.whl
>> Uploaded wheel to databricks. Install your library in your databricks notebook by running:
>> %pip install --upgrade pip
>> %pip install  /dbfs/temp/stevenmi/db-rocket/databricks_rocket-2.0.0-py3-none-any.whl --force-reinstall

Blogposts

• DBrocket 2.0: A summary of the big improvements we made to the tool in the new release.
• DB Rocket 1.0 post also gives more details about the rationale around dbrocket.

Support

• Databricks: >=7
• Python: >=3.7
• Tested on Platform: Linux, MacOs. Windows will probably not work but contributions are welcomed!
• Supports uploading to Unity Catalog Volumes starting from version 3.0.0. Note that the underlying dependency, databricks-sdk, is still in beta. We do not recommend using UC Volumes in production.

Acknowledgments

• Thanks Leon Poli for the Logo :)
• Thanks Stephane Leonard for source-code and documentation improvements :)
• Thanks Malachi Soord for the CICD setup and README improvements

Contributions are welcomed!

Security

For security issues please contact [e-mail].

Legal

db-rocket is licensed under the Apache License, Version 2.0. See LICENSE for the full text.