# IOMETE Airflow Plugin
This Plugin helps to trigger/run Spark Jobs created in IOMETE platform.
## Installation
This plugin could be easily installed with `pip`. Just run the following in your aiflow server:
```bash
pip install iomete-airflow-plugin
```
Restart you server and check the plugins page on Airflow's admin panel to make sure plugin loaded successfully.
## Configuration
You need to add `iomete_access_token` and `iomete_host` keys to airflow's Variables page.
Check our documentation page on how to generate personal access token.
## Usage
Here are sample DAG:
```python
from airflow import DAG
from iomete_airflow_plugin.iomete_operator import IometeOperator
dag = DAG(dag_id="...", default_args={}, schedule_interval=None)
task = IometeOperator(
task_id="random_task_id",
job_id="1b0fc29b-5491-4c0a-94ea-48e304c3c72e", # Spark Job ID or Name in IOMETE platform.
dag=dag,
)
```
## Resources
For more information check:
1. [Github repository](https://github.com/iomete/iomete-airflow-plugin)
2. [IOMETE Docs](https://iomete.com/docs)
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