Configure and enforce conventions for your dbt project.
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dbt-bouncer
Configure and enforce conventions for your dbt project.
Documentation
All documentation can be found on dbt-bouncer documentation website.
TLDR
-
Install
dbt-bouncer:pip install dbt-bouncer
-
Create a
dbt-bouncer.ymlconfig file:manifest_checks: - name: check_model_directories include: ^models permitted_sub_directories: - intermediate - marts - staging - name: check_model_names include: ^models/staging model_name_pattern: ^stg_ catalog_checks: - name: check_columns_are_documented_in_public_models run_results_checks: - name: check_run_results_max_execution_time max_execution_time_seconds: 60 -
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. |
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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