Hi we are self hosting airbyte, is there a way tha...
# ask-ai
l
Hi we are self hosting airbyte, is there a way that i can trigger my jobs through python]
u
Yes, there are several ways to trigger Airbyte jobs through Python when self-hosting Airbyte. Here are a few options: 1. Using the Airflow Airbyte Operator: You can use Apache Airflow with the Airbyte Operator to trigger Airbyte sync jobs. This involves creating a DAG in Airflow using Python. Here's a simple example:
Copy code
python    from airflow import DAG    from airflow.utils.dates import days_ago    from airflow.providers.airbyte.operators.airbyte import AirbyteTriggerSyncOperator     with DAG(dag_id='trigger_airbyte_job_example',             default_args={'owner': 'airflow'},             schedule_interval='@daily',             start_date=days_ago(1)        ) as dag:         money_to_json = AirbyteTriggerSyncOperator(            task_id='airbyte_money_json_example',            airbyte_conn_id='airbyte_conn_example',            connection_id='1e3b5a72-7bfd-4808-a13c-204505490110',            asynchronous=False,            timeout=3600,            wait_seconds=3        )
[Using the Airbyte Operator to orchestrate Airbyte OSS](https://docs.airbyte.com/operator-guides/using-the-airflow-airbyte-operator#creating-a-simple-airflow-dag-to-run-an-airbyte-sync-job) 2. Using Dagster: Dagster is another orchestration tool that supports Airbyte integration. You can create a Dagster job to trigger Airbyte syncs:
Copy code
python    from dagster import job    from dagster_airbyte import airbyte_resource, airbyte_sync_op     my_airbyte_resource = airbyte_resource.configured(        {            "host": {"env": "AIRBYTE_HOST"},            "port": {"env": "AIRBYTE_PORT"},        }    )    sync_foobar = airbyte_sync_op.configured({"connection_id": "your-connection-uuid"}, name="sync_foobar")     @job(resource_defs={"airbyte": my_airbyte_resource})    def my_simple_airbyte_job():        sync_foobar()
[Using the Dagster Integration](https://docs.airbyte.com/operator-guides/using-dagster-integration#2-create-the-dagster-op-to-trigger-your-airbyte-job) 3. Using Prefect: Prefect is another workflow management system that can trigger Airbyte jobs:
Copy code
python    from prefect import Flow    from prefect.tasks.airbyte.airbyte import AirbyteConnectionTask     airbyte_conn = AirbyteConnectionTask(            airbyte_server_host="localhost",            airbyte_server_port=8000,            airbyte_api_version="v1",            connection_id="04e128af-1092-4a83-bf33-1b8c85395d74"    )     with Flow("first-airbyte-task") as flow:        flow.add_task(airbyte_conn)
[Using the Prefect Airbyte Task](https://docs.airbyte.com/operator-guides/using-prefect-task#2-create-a-flow-in-prefect-to-trigger-your-airbyte-job) These methods allow you to trigger Airbyte jobs programmatically using Python within different orchestration frameworks. Choose the one that best fits your existing infrastructure and requirements.