Configure and enforce conventions for your dbt project.

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Project description

dbt-bouncer logo

dbt-bouncer

Configure and enforce conventions for your dbt project.


Documentation

All documentation can be found on dbt-bouncer documentation website.

TLDR

  1. Install dbt-bouncer:

    pip install dbt-bouncer

  2. dbt-bouncer requires a manifest.json file. If not already present, run:

    dbt parse

  3. Create a dbt-bouncer.yml config file:

    dbt-bouncer init

  4. Run dbt-bouncer:

    $ dbt-bouncer

[...]
Running checks... |################################| 20/20
Done. SUCCESS=19 WARN=0 ERROR=1
Failed checks:
| Check name               | Severity | Failure message                                                                       |
|--------------------------|----------|---------------------------------------------------------------------------------------|
| check_model_directories: | error    | AssertionError: `model` is located in `utilities`, this is not a valid sub-directory. |

Environment Variables

Variable Description Default
LOG_LEVEL Set to DEBUG for verbose logging INFO
LOG_FORMAT Set to json for structured JSON logging (human-readable)

Example:

# Debug logging
LOG_LEVEL=DEBUG dbt-bouncer

# JSON output for log aggregation
LOG_FORMAT=json dbt-bouncer

Reporting bugs and contributing code

  • Want to report a bug or request a feature? Let us know and open an issue.
  • Want to help us build dbt-bouncer? Check out the Contributing Guide.

Code of Conduct

Everyone interacting in dbt-bouncer's codebase, issue trackers, chat rooms, and mailing lists is expected to follow the Code of Conduct.

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