commit | 0f954896cb3b7cef8840a1c28ad5c7958715fe5d | [log] [tgz] |
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author | Siddharth Anand <sanand@agari.com> | Mon Mar 14 17:32:52 2016 -0700 |
committer | Siddharth Anand <sanand@agari.com> | Mon Mar 14 17:57:32 2016 -0700 |
tree | 79f3a54fbf08f84f937033f84d2a80db1d188210 | |
parent | 2e6447b320d98ed07424672f43853e3d6a90a0a7 [diff] |
Enhance CLI Test command to accept a JSON-formatted dictionary of params that can be added to a task's params dict. The CLI-provided params will overwrite params of the same name defined in the task definition if a key conflict occurs. This change will allow us to provide parameters to a DAG at runtime that are specific to a 'test' command run.
Airflow is a platform to programmatically author, schedule and monitor workflows.
When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.
![img] (http://i.imgur.com/6Gs4hxT.gif)
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.
Airflow is not a data streaming solution. Tasks do not move data from one to the other (though tasks can exchange metadata!). Airflow is not in the Spark Streaming or Storm space, it is more comparable to Oozie or Azkaban.
Workflows are expected to be mostly static or slowly changing. You can think of the structure of the tasks in your workflow as slightly more dynamic than a database structure would be. Airflow workflows are expected to look similar from a run to the next, this allows for clarity around unit of work and continuity.
As the Airflow community grows, we'd like to keep track of who is using the platform. Please send a PR with your company name and @githubhandle if you may.
Committers:
Currently officially using Airflow: