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Use airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.

Uploaded Mon Mar 31 20:40:56 2025
md5 checksum 6024c5b40192b1f307c9cc0891c0705f
arch x86_64
build 0
depends airflow >=1.10.7,<1.10.8.0a0, snakebite >=2.7.8
license Apache 2.0
md5 6024c5b40192b1f307c9cc0891c0705f
name airflow-with-hdfs
platform linux
sha1 e960c9a0ad519902ed8b5251d28d106c7255be59
sha256 04f057e2f28a049e495cfb5f3bda6ee4eabd4a22e54fd3fdd359a17b88ef1433
size 18490
subdir linux-64
timestamp 1579721399728
version 1.10.7