Airflow executor implemented using ray
Project description
Airflow Ray Executor
Airflow executor implemented using ray
Usage
$ 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:
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
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