Welcome to stork’s documentation!¶
Command line helpers for Databricks!
What is stork?¶
Stork is a set of command line helpers for Databricks. Some commands are for managing libraries in Databricks in an automated fashion. This allows you to move away from the point-and-click interface for your development work and for deploying production-level libraries for use in scheduled Databricks jobs. Another command allows you to create an interactive cluster that replicates the settings used on a job cluster.
Stork is hosted on PyPi, so to get the latest version simply install via
pip install stork
You can also install from source, by cloning the git repository
https://github.com/ShopRunner/stork.git and installing via
git clone https://github.com/ShopRunner/stork.git
To get started, first run
stork configure and answer the questions.
Then you are ready to upload libraries to Databricks, using the
stork upload and
stork upload_and_update commands.
Table of Contents¶
- Getting Started
- Contributor Covenant Code of Conduct