databricks-cli/acceptance/bundle/templates/default-sql/output/my_default_sql
Denis Bilenko a26461c5a3
Do not modify/create .gitignore in bundle root (#2429)
## Changes
- Do not modify or edit .gitignore in bundle root.
- Instead create .databricks/.gitignore with content set to "*"

## Why
Merging our changes into existing .gitignore is complicated and adding
.gitignore where it's not expected adds to the noise. Other tools also
use the approach in this PR (e.g. ruff creates .ruff_cache/.gitignore).

## Tests
- Modified templates/default-sql to capture this new file.
2025-03-05 10:57:05 +00:00
..
.databricks Do not modify/create .gitignore in bundle root (#2429) 2025-03-05 10:57:05 +00:00
.vscode Include a materialized copy of built-in templates (#2146) 2025-01-17 15:03:59 +00:00
resources acc: Use [VARNAME] instead of $VARNAME (#2282) 2025-02-03 14:10:19 +00:00
scratch Switch to using `[` from `<` in text replacements (#2224) 2025-01-28 10:54:23 +00:00
src Include a materialized copy of built-in templates (#2146) 2025-01-17 15:03:59 +00:00
README.md Include a materialized copy of built-in templates (#2146) 2025-01-17 15:03:59 +00:00
databricks.yml Remove `run_as` from the built-in templates (#2044) 2025-02-24 08:31:46 +00:00
out.gitignore Add missing `.gitignore` to dbt-sql and default-sql templates (#2356) 2025-02-25 09:42:02 +00:00

README.md

my_default_sql

The 'my_default_sql' 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] my_default_sql_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.