This part of the Airflow directory will be permanently saved as an environment variable. Press ctrl s and ctrl x to exit the nano editor. Then write the following: AIRFLOW_HOME=/c/Users//airflow Setup Airflow directory path as an environment variable bashrc script from the terminal with the command: nano ~/.bashrc Now that you have created this folder, you have to set it as an environment variable. If you do not know how to navigate the terminal, you can follow the steps in the image below: Create an Airflow directory from the terminal Note: Make sure you are at the root of the terminal by typing: cd ~ pip install virtualenvĬreate the virtual environment like this: virtualenv airflow_envĪnd then activate the environment: source airflow_env/bin/activate Step 2: Set Up the Airflow DirectoryĬreate a folder named airflow. To do this, you'll need to install the virtualenv package. To work with Airflow on Windows, you need to set up a virtual environment. With Python and WSL2 installed and activated on your machine, launch the terminal by searching for Ubuntu from the start menu. You can read more here to install WSL2 on your machine. It provides a Linux-compatible environment that runs natively on Windows, enabling users to use Linux command-line tools and utilities on a Windows machine. WSL2 allows you to run Linux commands and programs on a Windows operating system. What is Windows Subsystem for Linux (WSL2)? You need Python 3.8 or higher, Windows 10 or higher, and the Windows Subsystem for Linux (WSL2) to follow this tutorial. This article assumes that you're familiar with using the command line and can set up your development environment as directed. In this article, I'll show you how to install it on Windows without Docker.Īlthough it's recommended to run Airflow with Docker, this method works for low-memory machines that are unable to run Docker. According to the documentation, it lets you "programmatically author, schedule, and monitor workflows."Īirflow is a crucial tool for data engineers and scientists. Apache Airflow is a tool that helps you manage and schedule data pipelines.
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