mirror of https://github.com/databricks/cli.git
a8cff48c0b
## Changes Due to platform changes, all libraries, notebooks and etc. paths used in Databricks must be started with either /Workspace or /Volumes prefix. This PR makes sure that all bundle paths are correctly prefixed. Note: this change is a breaking change if user previously configured and used `/Workspace/Workspace` folder in their workspace file system or having `/Workspace/${workspace.root_path}...` pattern configured anywhere in their bundle config Fixes: #1751 AI: - [x] Scan DABs config and error out on `/Workspace/${workspace.root_path}...` pattern usage ## Tests Added unit tests --------- Co-authored-by: Pieter Noordhuis <pieter.noordhuis@databricks.com> |
||
---|---|---|
.. | ||
.vscode | ||
resources | ||
scratch | ||
src | ||
README.md.tmpl | ||
databricks.yml.tmpl |
README.md.tmpl
# {{.project_name}} The '{{.project_name}}' project was generated by using the default-sql template. ## Getting started 1. Install the Databricks CLI from https://docs.databricks.com/dev-tools/cli/install.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] {{.project_name}}_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 ``` 5. To run a job, use the "run" command: ``` $ databricks bundle run ``` 6. Optionally, install developer tools such as the Databricks extension for Visual Studio Code from https://docs.databricks.com/dev-tools/vscode-ext.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.