Airflow + Spark Docker environment

Local containerized environment for development using Docker, Airflow and Spark.

Table of Contents

• General Info
• Useful Articles
• Technologies Used
• Screenshots
• Setup
• Usage
• Project Status
• Room for Improvement
• Contact

General Information

• This project aims to provide a quick and easy way to provision a local development environment with Airflow and Spark for data enthusiasts.
• Here we use as a base the docker-compose.yaml available on the Airflow website. We extend the image to install our requirements and modify the services in docker-compose.yaml according to our needs.

Useful Articles

• Running Airflow in Docker
• Building the Airflow image
• Docker Image for Apache Airflow
• Airflow Architecture Overview
• Apache Spark packaged by Bitnami

Technologies Used

• Tech 1 - Docker/Docker compose
• Tech 2 - Airflow 2.3.4 - Docker image
• Tech 3 - Spark latest - Docker image

Screenshots

Setup

• Install Docker;

• Install Docker compose;

Usage

git clone [email protected]:razevedo1994/airflow_and_spark_docker_environment.git

mkdir -p ./logs ./plugins
echo -e "AIRFLOW_UID=$(id -u)" > .env

chmod +x ./build_environment.sh ./reset_environment.sh

./build_environment.sh

• Create this connection on Airflow:

• To access Airflow UI:

http://localhost:8080/

• To access Spark Master UI:

http://localhost:8181/

Attention: If you want to clean up your environment run ./reset_environment.sh . But be careful, this command will delete all your images and containers.

Project Status

Project is: in progress

Room for Improvement

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Contact

Created by Rodrigo Azevedo - feel free to contact me!