Yet Another Scalable Apache Airflow With Docker Example Setup

This repository contains the code for article https://medium.com/@tomaszdudek/yet-another-scalable-apache-airflow-with-docker-example-setup-84775af5c451. It features a scaffold of Apache Airflow, whose workers instead of executing the job themselves, run Docker containers and wait until they complete.

Requirements

• Linux or MacOS
• Docker and docker-compose
• Python 3.6 (with docker-py installed)

How to run example

• clone the project
• go to ./airflow/ and run docker build . -t puckel-airflow-with-docker-inside:latest
• make sure you have docker-py (tested with version docker==3.7.0 - careful because using docker-py==1.10.x won't work) and run python build_images.py
• go to ./airflow and run docker-compose up -f docker-compose-linux.yml (or just up when using OSX)
• launch http://localhost:8080/admin/, ensure that DAG is ON:

• trigger the DAG:

• watch the pipeline as it launches Docker containers:

Modify

• feel free to make PR's