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# Airflow
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[![PyPI version ](https://badge.fury.io/py/apache-airflow.svg )](https://badge.fury.io/py/apache-airflow)
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[![Build Status ](https://travis-ci.org/apache/incubator-airflow.svg )](https://travis-ci.org/apache/incubator-airflow)
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[![Coverage Status ](https://img.shields.io/codecov/c/github/apache/incubator-airflow/master.svg )](https://codecov.io/github/apache/incubator-airflow?branch=master)
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[![Code Health ](https://landscape.io/github/apache/incubator-airflow/master/landscape.svg?style=flat )](https://landscape.io/github/apache/incubator-airflow/master)
[![Requirements Status ](https://requires.io/github/apache/incubator-airflow/requirements.svg?branch=master )](https://requires.io/github/apache/incubator-airflow/requirements/?branch=master)
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[![Documentation ](https://img.shields.io/badge/docs-pythonhosted-blue.svg )](http://pythonhosted.org/airflow/)
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[![Join the chat at https://gitter.im/apache/incubator-airflow ](https://badges.gitter.im/apache/incubator-airflow.svg )](https://gitter.im/apache/incubator-airflow?utm_source=badge& utm_medium=badge& utm_campaign=pr-badge& utm_content=badge)
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_NOTE: The transition from 1.8.0 (or before) to 1.8.1 (or after) requires uninstalling Airflow before installing the new version. The package name was changed from `airflow` to `apache-airflow` as of version 1.8.1._
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Airflow is a platform to programmatically author, schedule and monitor
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workflows.
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When workflows are defined as code, they become more maintainable,
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versionable, testable, and collaborative.
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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
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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,
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monitor progress, and troubleshoot issues when needed.
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## Getting started
Please visit the Airflow Platform documentation for help with [installing Airflow ](http://pythonhosted.org/airflow/installation.html ), getting a [quick start ](http://pythonhosted.org/airflow/start.html ), or a more complete [tutorial ](http://pythonhosted.org/airflow/tutorial.html ).
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For further information, please visit the [Airflow Wiki ](https://cwiki.apache.org/confluence/display/AIRFLOW/Airflow+Home ).
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## Beyond the Horizon
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
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in the [Spark Streaming ](http://spark.apache.org/streaming/ )
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or [Storm ](https://storm.apache.org/ ) space, it is more comparable to
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[Oozie ](http://oozie.apache.org/ ) or
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[Azkaban ](https://azkaban.github.io/ ).
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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
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than a database structure would be. Airflow workflows are expected to look
similar from a run to the next, this allows for clarity around
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unit of work and continuity.
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## Principles
- **Dynamic**: Airflow pipelines are configuration as code (Python), allowing for dynamic pipeline generation. This allows for writing code that instantiates pipelines dynamically.
- **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 powerful **Jinja** templating engine.
- **Scalable**: Airflow has a modular architecture and uses a message queue to orchestrate an arbitrary number of workers. Airflow is ready to scale to infinity.
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## User Interface
- **DAGs**: Overview of all DAGs in your environment.
![](/docs/img/dags.png)
- **Tree View**: Tree representation of a DAG that spans across time.
![](/docs/img/tree.png)
- **Graph View**: Visualization of a DAG's dependencies and their current status for a specific run.
![](/docs/img/graph.png)
- **Task Duration**: Total time spent on different tasks over time.
![](/docs/img/duration.png)
- **Gantt View**: Duration and overlap of a DAG.
![](/docs/img/gantt.png)
- **Code View**: Quick way to view source code of a DAG.
![](/docs/img/code.png)
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## Who uses Airflow?
As the Airflow community grows, we'd like to keep track of who is using
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the platform. Please send a PR with your company name and @githubhandle
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if you may.
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Committers:
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* Refer to [Committers ](https://cwiki.apache.org/confluence/display/AIRFLOW/Committers )
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Currently **officially** using Airflow:
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1. [Airbnb ](http://airbnb.io/ ) [[@mistercrunch ](https://github.com/mistercrunch ), [@artwr ](https://github.com/artwr )]
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1. [Agari ](https://github.com/agaridata ) [[@r39132 ](https://github.com/r39132 )]
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1. [allegro.pl ](http://allegro.tech/ ) [[@kretes ](https://github.com/kretes )]
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1. [Apigee ](https://apigee.com ) [[@btallman ](https://github.com/btallman )]
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1. [ARGO Labs ](http://www.argolabs.org ) [[California Data Collaborative ](https://github.com/California-Data-Collaborative )]
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1. [Astronomer ](http://www.astronomer.io ) [[@schnie ](https://github.com/schnie )]
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1. [Blue Yonder ](http://www.blue-yonder.com ) [[@blue-yonder ](https://github.com/blue-yonder )]
[AIRFLOW-1384] Add to README.md CaDC/ARGO
added to currently **officially** using Airflow:
[California Data Collaborative](http://californiad
atacollaborative.org) powered by [ARGO
Labs](http://www.argolabs.org)
Dear Airflow maintainers,
Please accept this PR. I understand that it will
not be reviewed until I have checked off all the
steps below!
- [x] My PR addresses the following [Airflow JIRA]
**https://issues.apache.org/jira/browse/AIRFLOW-13
84**
- The California Data Collaborative is a unique
coalition of forward thinking municipal water
managers in California who along with ARGO, a
startup non-profit that builds, operates, and
maintains data infrastructures, are pioneering new
standards of collaborating around and
administering water data for millions
Californians.
ARGO has deployed a hosted version of Airflow on
AWS and it is used to orchestrate data pipelines
to parse water use data from participating
utilities to power analytics. Furthermore, ARGO
also uses Airflow to power a data infrastructure
for citywide street maintenance via
https://github.com/ARGO-SQUID
- [x] My PR adds the following unit tests __OR__
does not need testing for this extremely good
reason:
Change to README.md does not require unit testing.
- [x] My commits all reference JIRA issues in
their subject lines, and I have squashed multiple
commits if they address the same issue. In
addition, my commits follow the guidelines from
"[How to write a good git commit
message](http://chris.beams.io/posts/git-
commit/)":
1. Subject is separated from body by a blank line
2. Subject is limited to 50 characters
3. Subject does not end with a period
4. Subject uses the imperative mood ("add", not
"adding")
5. Body wraps at 72 characters
6. Body explains "what" and "why", not "how"
Update README.md
added to currently **officially** using Airflow
section of README.md
[California Data Collaborative](https://github.com
/California-Data-Collaborative) powered by [ARGO
Labs](http://www.argolabs.org)
Added CaDC/ARGO Labs to README.md
Please consider adding [Argo
Labs](www.argolabs.org) to the Airflow users
section.
**Context**
- The California Data Collaborative is a unique
coalition of forward thinking municipal water
managers in California who along with ARGO, a
startup non-profit that builds, operates, and
maintains data infrastructures, are pioneering new
standards of collaborating around and
administering water data for millions
Californians.
- ARGO has deployed a hosted version of Airflow on
AWS and it is used to orchestrate data pipelines
to parse water use data from participating
utilities to power analytics. Furthermore, ARGO
also uses Airflow to power a data infrastructure
for citywide street maintenance via
https://github.com/ARGO-SQUID
Closes #2421 from vr00n/patch-3
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1. [Tictail ](https://tictail.com/ )
2016-09-28 18:13:14 +03:00
1. [T2 Systems ](http://t2systems.com ) [[@unclaimedpants ](https://github.com/unclaimedpants )]
2017-05-30 21:58:51 +03:00
1. [United Airlines ](https://www.united.com/ ) [[@ilopezfr ](https://github.com/ilopezfr )]
2016-08-31 07:04:03 +03:00
1. [Vente-Exclusive.com ](http://www.vente-exclusive.com/ ) [[@alexvanboxel ](https://github.com/alexvanboxel )]
2016-12-31 22:05:41 +03:00
1. [Vnomics ](https://github.com/vnomics ) [[@lpalum ](https://github.com/lpalum )]
2016-08-15 01:51:15 +03:00
1. [WePay ](http://www.wepay.com ) [[@criccomini ](https://github.com/criccomini ) & [@mtagle ](https://github.com/mtagle )]
2016-08-12 03:55:46 +03:00
1. [WeTransfer ](https://github.com/WeTransfer ) [[@jochem ](https://github.com/jochem )]
2016-08-20 02:38:37 +03:00
1. [Whistle Labs ](http://www.whistle.com ) [[@ananya77041 ](https://github.com/ananya77041 )]
2016-10-01 04:54:01 +03:00
1. [WiseBanyan ](https://wisebanyan.com/ )
2017-08-07 21:39:10 +03:00
1. [Wooga ](https://www.wooga.com/ )
1. [Xoom ](https://www.xoom.com/india/send-money ) [[@gepser ](https://github.com/gepser ) & [@omarvides ](https://github.com/omarvides )]
1. [Yahoo! ](https://www.yahoo.com/ )
2016-08-15 01:51:15 +03:00
1. [Zapier ](https://www.zapier.com ) [[@drknexus ](https://github.com/drknexus ) & [@statwonk ](https://github.com/statwonk )]
2016-08-12 03:55:46 +03:00
1. [Zendesk ](https://www.github.com/zendesk )
2016-08-19 10:10:57 +03:00
1. [Zenly ](https://zen.ly ) [[@cerisier ](https://github.com/cerisier ) & [@jbdalido ](https://github.com/jbdalido )]
2017-08-30 07:05:00 +03:00
1. [Zymergen ](https://www.zymergen.com/ )
2016-09-20 21:18:49 +03:00
1. [99 ](https://99taxis.com ) [[@fbenevides ](https://github.com/fbenevides ), [@gustavoamigo ](https://github.com/gustavoamigo ) & [@mmmaia ](https://github.com/mmmaia )]
2015-07-22 04:02:15 +03:00
2015-09-17 20:33:59 +03:00
## Links
2015-07-22 04:02:15 +03:00
2016-09-01 12:59:33 +03:00
2016-07-29 01:32:55 +03:00
* [Documentation ](http://airflow.incubator.apache.org/ )
* [Chat ](https://gitter.im/apache/incubator-airflow )
2016-09-01 12:59:33 +03:00
* [Apache Airflow Incubation Status ](http://incubator.apache.org/projects/airflow.html )
2016-07-29 01:32:55 +03:00
* [More ](https://cwiki.apache.org/confluence/display/AIRFLOW/Airflow+Links )