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dbt-project-evaluator

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This package contains macros and models to find DAG issues automatically

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# dbt_project_evaluator

This package highlights areas of a dbt project that are misaligned with dbt Labs' best practices.
Specifically, this package tests for:

1. __[Modeling](https://dbt-labs.github.io/dbt-project-evaluator/latest/rules/modeling/)__ - your dbt DAG for modeling best practices
2. __[Testing](https://dbt-labs.github.io/dbt-project-evaluator/latest/rules/testing)__ - your models for testing best practices
3. __[Documentation](https://dbt-labs.github.io/dbt-project-evaluator/latest/rules/documentation)__ - your models for documentation best practices
4. __[Structure](https://dbt-labs.github.io/dbt-project-evaluator/latest/rules/structure)__ - your dbt project for file structure and naming best practices
5. __[Performance](https://dbt-labs.github.io/dbt-project-evaluator/latest/rules/performance)__ - your model materializations for performance best practices
6. __[Governance](https://dbt-labs.github.io/dbt-project-evaluator/latest/rules/governance)__ - your best practices for model governance features.

In addition to tests, this package creates the model `int_all_dag_relationships` which holds information about your DAG in a tabular format and can be queried using SQL in your Warehouse.

Currently, the following adapters are supported:

- BigQuery
- Databricks/Spark
- PostgreSQL
- Redshift
- Snowflake
- DuckDB
- Trino (tested with Iceberg connector)
- AWS Athena (tested manually)
- Greenplum (tested manually)
- ClickHouse (tested manually)
- Microsoft Fabric Data Warehouse (tested manually)
- Microsoft Fabric Spark (tested manually)

## Using This Package

### Cloning via dbt Package Hub
  
Check [dbt Hub](https://hub.getdbt.com/dbt-labs/dbt_project_evaluator/latest/) for the latest installation instructions, or [read the docs](https://docs.getdbt.com/docs/package-management) for more information on installing packages.

### Additional setup for Databricks/Spark/DuckDB/Redshift/ClickHouse/Fabric

In your `dbt_project.yml`, add the following config:

```yml
# dbt_project.yml

dispatch:
  - macro_namespace: dbt
    search_order: ['dbt_project_evaluator', 'dbt']
```

This is required because the project currently overrides a small number of dbt core macros in order to ensure the project can run across the listed adapters. The overridden macros are in the [cross_db_shim directory](macros/cross_db_shim/).
  
## Documentation

The full documentation and list of rules are available on [this website](https://dbt-labs.github.io/dbt-project-evaluator/)

dbt-project-evaluator

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