Intro

This repo helps you deploy airflow to a local kubernetes cluster.

Installation

1. Install kubectl
2. Run a local kubernetes cluster (e.g. Docker Desktop, minikube)
3. Install helm (e.g. brew install helm)
4. Point kubectl at your cluster (e.g. kubectl config use-context docker-desktop)
5. Run ./install.sh

This will create an airflow namespace and deploy airflow to it.

You can connect to the webserver by:

1. Run kubectl -n airflow port-forward svc/airflow-webserver 8080:8080 in a terminal
   • TODO: Fix stability with the port forward connection. Sometimes connections fail and you just have to keep retrying.
2. Navigate your browser to: http://localhost:8080
3. Login with user/pass: admin/admin

From the UI, you can create the DB connection:

1. Go to Connections in the Admin tab
2. Add a new connection:
   • Connection Id: local_pg_conn
   • Connection Type: Postgres
   • Host: postgres
   • Database: airflow
   • Login: airflow
   • Password: airflow
   • Port: 5432

Create a DAG

1. Create your_dag.py
2. Run kubectl -n airflow get pod to get the name of the scheduler pod
3. Run kubectl cp your_dag.py airflow/<scheduler-pod-name>:/opt/airflow/dags/your_dag.py -c scheduler
4. Unpause the DAG in the UI

Uninstallation

Run ./uninstall.sh. It can take a long time for the namespace to be deleted.