Hooks 是airflow中用来调研外部系统的 api, 它们存在 operator 中或者 Dag 里面。你可以自己写一个 hook,或者开源有就用开源的，标准化与外部的交互函数。Airflow 的基本架构 元数据库：存储任务状态 调度器：用作任务调度-scheduler 负责调度作业的守护进程。这是一个多线程的 Python 进程，它决定了哪些
Pattern's personal airflow registry for custom operators, sensors, and hooks - patterninc/airflow_registry
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows - [AIRFLOW-6119] [AIP-21] Rename GCS operators, hooks and sensors (#7125) · apache/airflow@e7bf8ec
In addition to using native tasks, it’s easy to leverage Airflow’s extensive collection of provider-built hooks and operators to orchestrate transformation using tools such as AWS Lambda and DBT. Loading data with Airflow We’ve made it to the last step of our ETL pipeline. We have ...
ETL vs. ELT: Exploring definitions, origins, strengths, and weaknesses 10 popular transformation tools in 2023 Dagster 101: Everything you need to know Atlan + Airflow: Better pipeline monitoring and data lineage Creating workflows in Apache Airflowto track disease outbreaks in India ...
Features a vast array of community-supported Operators and Hooks (300+ official plugins), addressing diverse data integration and processing needs. Global Community Support: Active global user community with extensive documentation and learning resources. Apache Airflow Disadvantages Limited Distributed Sche...
It can run tasks, which are sets of activities, via operators and templates for tasks that Python functions or scripts can create. These operators can be created for any source or destination. Moreover, it also supports plugins to implement operators and hooks(interfaces to external platforms)....
We've created the operators, hooks, macros and executors we needed, but we've made sure that this part of Airflow is extensible. New operators, hooks, macros and executors are very welcomed! Improve Documentation Airflow could always use better documentation, whether as part of the official...
Compare Apache Airflow and Node-RED head-to-head across pricing, user satisfaction, and features, using data from actual users.
Extensible: Easily define your own operators, executors and extend the library so that it fits the level of abstraction that suits your environment. Elegant: Airflow pipelines are lean and explicit. Parameterizing your scripts is built into the core of Airflow using the powerfulJinjatemplating engi...