airflowignore file in the dags directory of your Astro project to identify the files to ignore when you deploy to Astro or develop locally. This is an alternative to testing your entire Astro project with the Airflow webserver and scheduler. Use the astro run command to run and debug a DAG from the command line without starting a local Airflow environment. See Introduction to Airflow DAGs.ĭAGs are stored in the dags folder of your Astro project. A DAG is a collection of tasks and dependencies between tasks that are defined as code. In Apache Airflow, data pipelines are defined in Python code as Directed Acyclic Graphs (DAGs). You can also access your Postgres database at localhost:5432/postgres. The triggerer is used exclusively for tasks that are run with deferrable operators.Īfter the project builds, you can access the Airflow UI by going to and logging in with admin for both your username and password. Triggerer: The Airflow component responsible for running triggers and signaling tasks to resume when their conditions have been met.Scheduler: The Airflow component responsible for monitoring and triggering tasks.Webserver: The Airflow component responsible for rendering the Airflow UI.Postgres: The Airflow metadata database.The command builds your Astro project into a Docker image and creates the following Docker containers: To start an Astro project in a local Airflow environment, run the following command: Making changes to your Astro project and testing them locally requires an Airflow environment on your computer.
These modules provide guidance on setting Airflow connections and their parameters.
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