Metadata-Version: 2.1
Name: airflow-ray-executor
Version: 0.0.1
Summary: Airflow executor implemented using ray
Home-page: https://github.com/staneyffer/airflow-ray-executor
Author: staneyffer
Author-email: staneyffer@gmail.com
License: Apache License 2.0
Platform: UNKNOWN
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Requires-Python: ~=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: ray

# Airflow Ray Executor

Airflow executor implemented using [ray](https://github.com/ray-project/ray)

[**中文**](README_ZH.md)

## Usage

```shell
$ pip install airflow-ray-executor
```

Edit your ``airflow.cfg`` to set your executor to class: `airflow_ray_executor.RayExecutor` and add ray client address to this file, example:

```pycon
executor = airflow_ray_executor.RayExecutor

[ray]
# ray client address to connect to ray cluster
# Ray Executor will start Ray on a single machine if not provided
client = ray://127.0.0.1:10001
```

Please note:
Airflow not support sqlite database when executor neither DebugExecutor nor SequentialExecutor


