This is a Dagster project made to accompany Dagster University coursework. The branches of this repository contain projects for different Dagster University courses:
Branch name | Description |
---|---|
main |
Dagster Essentials finished project |
module/dagster-and-dbt |
Dagster + dbt finished project |
module/dagster-and-dbt-starter |
Starter project for Dagster + dbt |
First, install your Dagster code location as a Python package. By using the --editable flag, pip will install your Python package in "editable mode" so that as you develop, local code changes will automatically apply.
pip install -e ".[dev]"
Duplicate the .env.example
file and rename it to .env
. Then, fill in the values for the environment variables in the file.
Then, start the Dagster UI web server:
dagster dev
Open http://localhost:3000 with your browser to see the project.
You can specify new Python dependencies in setup.py
.
Tests are in the dagster_university_tests
directory and you can run tests using pytest
:
pytest dagster_university_tests
If you want to enable Dagster Schedules or Sensors for your jobs, the Dagster Daemon process must be running. This is done automatically when you run dagster dev
.
Once your Dagster Daemon is running, you can start turning on schedules and sensors for your jobs.
The easiest way to deploy your Dagster project is to use Dagster Cloud.
Check out the Dagster Cloud Documentation to learn more.