![]() ![]() Note: MySQL 5.x versions are unable to or have limitations with Scalable: Airflow has a modular architecture and uses a message queue to orchestrate an arbitrary number of workers.Parameterizing your scripts is built into the core of Airflow using the powerful Jinja templating engine. Elegant: Airflow pipelines are lean and explicit.Extensible: Easily define your own operators, executors and extend the library so that it fits the level of abstraction that suits your environment.This allows for writing code that instantiates pipelines dynamically. Dynamic: Airflow pipelines are configuration as code (Python), allowing for dynamic pipeline generation.For high-volume, data-intensive tasks, a best practice is to delegate to external services that specialize on that type of work.Īirflow is not a streaming solution, but it is often used to process real-time data, pulling data off streams in batches. results of the task will be the same, and will not create duplicated data in a destination system), and should not pass large quantities of data from one task to the next (though tasks can pass metadata using Airflow's Xcom feature). Other similar projects include Luigi, Oozie and Azkaban.Īirflow is commonly used to process data, but has the opinion that tasks should ideally be idempotent (i.e. When DAG structure is similar from one run to the next, it allows for clarity around unit of work and continuity. Can I use the Apache Airflow logo in my presentation?Īirflow works best with workflows that are mostly static and slowly changing.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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