mirror of https://github.com/databricks/cli.git
162b115e19
## Changes This adds a `default-sql` template! In this latest revision, I've hidden the new template from the list so we can merge it, iterate over it, and properly release the template at the right time. - [x] WorkspaceFS support for .sql files is in prod - [x] SQL extension is preconfigured based on extension settings (if possible) - [ ] Streaming tables support is either ungated or the template provides instructions about signup - _Mitigation for now: this template is hidden from the list of templates._ - [x] Support non-UC workspaces ## Tests - [x] Unit tests - [x] Manual testing - [x] More manual testing - [x] Reviewer testing --------- Co-authored-by: Pieter Noordhuis <pieter.noordhuis@databricks.com> Co-authored-by: PaulCornellDB <paul.cornell@databricks.com> |
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.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.