Configure and enforce conventions for your dbt project.
Project description
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.yml
config 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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
dbt_bouncer-1.3.4.tar.gz
(40.1 kB
view hashes)
Built Distribution
Close
Hashes for dbt_bouncer-1.3.4-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | fbdb431e0720dfe599907200088de2f460827b9865eb929aae6ddf8e89819753 |
|
MD5 | a660bcc047e89c3732fc6c83b89d84d5 |
|
BLAKE2b-256 | dce5b74a79120e58c70b002d8486eb0c831e5723b51c06ba13a07bb4728114c9 |