CLI tool for dbt users to simplify creation of staging models (yml and sql) files
APACHE-2.0 License
The Datacoves platform helps enterprises overcome their data delivery challenges quickly using dbt and Airflow, implementing best practices from the start without the need for multiple vendors or costly consultants.
Hosted VS Code, dbt-core, SqlFluff, and Airflow, find out more at Datacoves.com.
dbt-coves is a CLI tool that automates and simplifies development and release tasks for dbt.
In addition to other functions listed below, dbt-coves generates dbt sources, staging models and property(yml) files by analyzing information from the data warehouse and creating the necessary files (sql and yml). It can even generate Airflow DAGs based on YML input.
Finally, dbt-coves includes functionality to bootstrap a dbt project and to extract and load configurations from data-replication providers.
pip install dbt-coves
We recommend using python virtualenvs and create one separate environment per project.
Version | Status |
---|---|
< 1.0 | ❌ Not supported |
>= 1.0 | ✅ Tested |
From dbt-coves
1.4.0 onwards, our major and minor versions match those of dbt-core.
This means we release a new major/minor version once it's dbt-core equivalent is tested.
Patch suffix (1.4.X) is exclusive to our continuous development and does not reflect a version match with dbt.
Feature | Snowflake | Redshift | BigQuery |
---|---|---|---|
source model (sql) generation | ✅ Tested | ✅ Tested | ✅ Tested |
model properties (yml) generation | ✅ Tested | ✅ Tested | ✅ Tested |
NOTE: Other database adapters may work, although we have not tested them. Feel free to try them and let us know so we can update the table above.
dbt-coves, supports the following functions:
generate sources
or generate properties
commandFor a complete list of options, run:
dbt-coves -h
dbt-coves <command> -h
If you're interested in contributing to the development of dbt-coves, please refer to the Contributing Guidelines. This document outlines the process for submitting bug reports, feature requests, and code contributions.