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The start-airflow command provides a simple way to start Airflow and monitor it. The instructions in this file will be executed before Airflow Scheduler and Webserver start.

In case you want to initialize Airflow, you can put a file called init.sh in the folder files/airflow-breeze-config.

Environment variables can be entered in the file files/airflow-breeze-config/variables.env (create it, if not there), these are set preparing the Airflow environment.

In case you want to store Airflow configuration objects (like connections to your databases, users, etc.) use a different backend or use an initialization script (again see below).

In case you run Breeze using an SQLite database as Airflow backend (see below), that database is recreated with every run.

In case a DAG syntax is wrong the bottom left pane (the Webserver one) shows the errors. The DAGs could take few minutes to appear on the web UI. If the folder is not there, Breeze will create it. Now that Airflow is running, you can just put your dags in the folder files/dags created in your Airflow repository folder. The purpose of having these three panes is to allow you to observe what is happening in Airflow and in case use the command line interface (although this is for more advanced use cases). To get quickly out from tmux run the following command: The top one is use the Airflow CLI commands (run airflow -help if you want to know more). There is not much you need to do in the bottom panes, you can stop the scheduler and the webserver with Ctrl+C. If you press Ctrl+b followed by an arrow key you will be able to move between panes. The top pane is to run additional commands.

In the lower left corner you have the Airflow Scheduler, which takes care of running things, on the right the Webserver is waiting for you to visit the Airflow Web UI. What you see are three tmux panes (tmux is a Linux tool to create a terminal session and split it in multiple parts, called panes).

If you go to you will see the Airflow UI. If everything goes as expected you should see a screen like this:Ĭongratulations, your Airflow is up and running. The first build can take few minutes, depending on your internet speed and machine.

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In my case I installed all these tools in my Ubuntu WLS.Ĭlone the Airflow repository from Github with:Įnter fullscreen mode Exit fullscreen modeīreeze will download a number of docker images and will ask you if you want to build some of them, just say 'yes' when asked (you can use the flags -assume-yes or -assume-no if you find this annoying).

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Install git (this is usually already installed).

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I run my Airflow/Breeze using WLS2 on Windows 10, people using a Mac or a Linux machine will have probably a smoother experience than me, but WLS2 with Ubuntu is quite good (if you are on Windows 10 the WLS2 setup is covered here) and Breeze runs more easily in a linux box (or a mac).

Dockerized stands for 'running in a virtual machine with no impact on your computer (called the host, while the vm is the guest).' Well, no impact beside consuming CPU and RAM 😕.

Therefore when I started thinking about how easily have a dev Airflow running, Breeze was on top of my list. The first time I met Breeze I was working on automating the creation of our own environment to run tests (for a data warehouse, not for Airflow), and I was very intrigued by the idea. This is pretty cool if you are into CI/CD. It can be used to create an environment with specific properties to run tests, before deploying to production. Enter Breeze.īreeze is a command line tool to spin up a dockerized* Airflow instance for development or testing. I wanted something so simple that you and I could focus only on DAG's code.

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I needed an quick way for my readers to setup their own Airflow and an even quicker way to explain how to do it. I started a to write a few blog posts for people who are approaching Python and Apache Airflow for the first time. If you do not like when food recipes start with pages of blabbing skip this part. Adding DAG files in that folder will make them appear in Airflow. With the first run Breeze creates the folder files/dags in the repo folder. Clone the Airflow repository git clone In the Airflow folder run.To have Airflow running on your machine do the following:

I feel responsible for your user experience using them, so if you have questions or feedback please reach out to me. Disclaimer: I have submitted the PRs for two of the Breeze features mentioned in this article (the start-airflow command and the -init-scripts flag).

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