Quickstart: Elementary CLI

Before installing the CLI, make sure to complete the steps dbt package installation, including executing dbt run with the Elementary package models.

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Configuring the Elementary Profile

In order to connect, Elementary needs a connection profile in a file named profiles.yml. This profile will be used by the CLI, to connect to the DWH and find the dbt package tables.

The easiest way to generate the profile is to run the following command within the dbt project where you deployed the elementary dbt package (works in dbt cloud as well):

dbt run-operation elementary.generate_elementary_cli_profile

Copy the output, fill in the missing fields and add the profile to your profiles.yml. Here is a demonstration:

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Elementary profile details and format

• Path: HOME_DIR/.dbt/profiles.yml
• Profile name: elementary
• Schema name: The schema of elementary models, default is <your_dbt_project_schema>_elementary

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Install Elementary CLI

To install the monitor module run:

pip install elementary-data

Run one of the following commands based on your platform (no need to run all):

pip install 'elementary-data[snowflake]'
pip install 'elementary-data[bigquery]'
pip install 'elementary-data[redshift]'
pip install 'elementary-data[databricks]'
pip install 'elementary-data[athena]'
pip install 'elementary-data[trino]'
## Postgres doesn't require this step

Run edr --help in order to ensure the installation was successful.

If you're receiving command not found: edr please check our troubleshooting guide.

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What’s next?

1. Use the CLI to:

   • Visualize all dbt test results and runs in a report ✨

   • Send informative alerts on failures 📣

2. Add data anomaly detection dbt tests 📈

3. Deploy Elementary in production 🚀