databricks_cli_issue_example

The 'databricks_cli_issue_example' project was generated by using the default-python template.

Getting started

Install the Databricks CLI from https://docs.databricks.com/dev-tools/cli/databricks-cli.html
Authenticate to your Databricks workspace, if you have not done so already:
```
$ databricks configure
```
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] databricks_cli_issue_example_job to your workspace. You can find that job by opening your workpace and clicking on Workflows.
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/databricks_cli_issue_example_job.yml). The schedule is paused when deploying in development mode (see https://docs.databricks.com/dev-tools/bundles/deployment-modes.html).
To run a job or pipeline, use the "run" command:
```
$ databricks bundle run
```
Optionally, install developer tools such as the Databricks extension for Visual Studio Code from https://docs.databricks.com/dev-tools/vscode-ext.html.
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.