dbt run commands for model development
Logo of dbt (data base tool)

When developing new models using dbt (data base tool), I often find myself using the following run commands:

Run specific model

dbt run -–select model_alpha

Instead of running the whole dbt project, the above command allows you to runs (and thus test) only the model you have just created. In the above example, the model to be run in model_alpha. To run more than one model, simply list their names in succession, e.g. dbt run -–select model_alpha model_beta.

Run models downstream

dbt run –-select source:source_one.model_alpha+

This command runs all models that are directly and indirectly dependent on the source table model_alpha, which makes part of source_one. In your project’s schema.yml file, the source and model in the example would look like this:

- name: source_one
    description: This is my first source
    database: testingdb
    schema: sandbox
    - name: model_alpha

Run models upstream and downstream

dbt run -–select +model_apha+

As in the previous point, use the “+” sign as a prefix and/or suffix in order to run all models upstream and/or downstream from the model in question. The upstream models and downstream models are also referred to as a model’s ancestors and descendants, respectively.

Run specific models by tag

dbt run --select tag:user

The above command will run all models with the tag user. Tags can be assigned on either a model’s configuration options or a model’s dbt_project.yml file. To run all those models associated with two tags, say the tags user and test, at the same time, then try dbt run –-select tag:user tag:test.

For more on running specific models, refer to dbt’s documentation.

dbt run commands for model development
Older post

Preventing Unexpected Billing in GCP

A few tips on how to avoid surprises at the end of the month

Newer post

Running my First 100-miler

My experience running the Berlin Wall, my first 100-mile foot race

dbt run commands for model development