Skip to content

pbmiguel/airflow-databricks-tutorial

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

airflow-databricks-tutorial

This repo contains an Astronomer project with multiple example DAGs showing how to use Airflow to orchestrate Databricks jobs. A guide discussing the DAGs and concepts in depth can be found here.

Tutorial Overview

This tutorial has one DAGs showing how to use the following Databricks Operators:

  • DatabricksRunNowOperator
  • DatabricksSubmitRunOperator

Getting Started

The easiest way to run these example DAGs is to use the Astronomer CLI to get an Airflow instance up and running locally:

  1. Install the Astronomer CLI
  2. Clone this repo somewhere locally and navigate to it in your terminal
  3. Initialize an Astronomer project by running astro dev init
  4. Start Airflow locally by running astro dev start or DOCKER_BUILDKIT=0 astro dev start
  5. Navigate to localhost:8080 in your browser and you should see the tutorial DAGs there

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages

  • Python 82.6%
  • Dockerfile 10.2%
  • Makefile 7.2%