Official Docker (container) images for Apache Airflow are described in IMAGES.rst. Want to help build Apache Airflow? Check out our contributing documentation. Release provided they have access to the appropriate platform and tools. Are officially voted on by the PMC members during theįollowing the ASF rules, the source packages released must be sufficient for a user to build and test the.Are cryptographically signed by the release manager.Can be downloaded from the ASF Distribution Directory.Pip install 'apache-airflow=2.7.3' \ -constraint ""įor information on installing provider packages, checkĪpache Airflow is an Apache Software Foundation (ASF) project, Installing with extras (i.e., postgres, google).pip install 'apache-airflow=2.7.3' \ -constraint "" Them to the appropriate format and workflow that your tool requires. If you wish to install Airflow using those tools, you should use the constraint files and convert The problem in this PR _ so it might be that Please switch to pip if you encounter such problems. There are known issues with bazel that might lead to circular dependencies when using it to installĪirflow. Installing via Poetry or pip-tools is not currently supported. Pip - especially when it comes to constraint vs. Pip-tools, they do not share the same workflow as While it is possible to install Airflow with tools like Poetry or Note: Only pip installation is currently officially supported. Note that you have to specifyĬorrect Airflow tag/version/branch and Python versions in the URL. You can use them as constraint files when installing Airflow from PyPI. We keep those "known-to-be-working"Ĭonstraints files separately per major/minor Python version. To have repeatable installation, however, we keep a set of "known-to-be-working" constraintįiles in the orphan constraints-main and constraints-2-0 branches. This means that pip install apache-airflow will not work from time to time or will Our dependencies as open as possible (in setup.py) so users can install different versions of libraries Libraries usually keep their dependencies open, andĪpplications usually pin them, but we should do neither and both simultaneously. Installing it however might be sometimes trickyīecause Airflow is a bit of both a library and application. We publish Apache Airflow as apache-airflow package in PyPI. Note: If you're looking for documentation for the main branch (latest development branch): you can find it on s./airflow-docs.įor more information on Airflow Improvement Proposals (AIPs), visitĭocumentation for dependent projects like provider packages, Docker image, Helm Chart, you'll find it in the documentation index. Visit the official Airflow website documentation (latest stable release) for help with Is used in the Community managed DockerHub image is The only distro that is used in our CI tests and that You should only use Linux-based distros as "Production" execution environmentĪs this is the only environment that is supported. The work to add Windows support is tracked via #10388, but On Windows you can run it via WSL2 (Windows Subsystem for Linux 2) or via Linux Containers. Tested on fairly modern Linux Distros and recent versions of macOS. Note: Airflow currently can be run on POSIX-compliant Operating Systems. Using the latest stable version of SQLite for local development. Running multiple schedulers - please see the Scheduler docs. Note: MySQL 5.x versions are unable to or have limitations with ** Discontinued soon, not recommended for the new installation The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. Rich command line utilities make performing complex surgeries on DAGs a snap. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative. Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows.
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