iomete-airflow-plugin 2.0.2

An Airflow plugin for interacting with IOMETE platform.

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:

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 the following keys to airflow's Variables page:

• iomete_access_token - Personal access token. Check our documentation page on how to generate one.
• iomete_host - IOMETE platform host URL.
• iomete_domain - IOMETE domain identifier (required since v2.0.0).

Usage

Here are sample DAG:

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
2. IOMETE Docs