Stocks

The Stocks Project was generated by using the default-python template.

Getting started

0. Install UV: https://docs.astral.sh/uv/getting-started/installation/

1. Install the Databricks CLI from https://docs.databricks.com/dev-tools/cli/databricks-cli.html

2. Authenticate to your Databricks workspace, if you have not done so already:

   $ databricks configure
   

3. To deploy a development copy of this project, type:

   $ databricks bundle deploy --target dev
   

   (Note that "dev" is the default target, so the --target parameter is optional here.)

   This deploys everything that's defined for this project. For example, the default template would deploy a job called [dev yourname] stocks_job to your workspace. You can find that job by opening your workpace and clicking on Workflows.

4. Similarly, to deploy a production copy, type:

   $ databricks bundle deploy --target prod
   

   Note that the default job from the template has a schedule that runs every day (defined in resources/stocks.job.yml). The schedule is paused when deploying in development mode (see https://docs.databricks.com/dev-tools/bundles/deployment-modes.html).

5. To run a job or pipeline, use the "run" command:

   $ databricks bundle run
   

6. Optionally, install the Databricks extension for Visual Studio code for local development from https://docs.databricks.com/dev-tools/vscode-ext.html. It can configure your virtual environment and setup Databricks Connect for running unit tests locally. When not using these tools, consult your development environment's documentation and/or the documentation for Databricks Connect for manually setting up your environment (https://docs.databricks.com/en/dev-tools/databricks-connect/python/index.html).

7. For documentation on the Databricks asset bundles format used for this project, and for CI/CD configuration, see https://docs.databricks.com/dev-tools/bundles/index.html.