# Ingest Metadata in Production

Use this procedure, if you already have a production Airflow instance on which you would like to schedule OpenMetadata ingestion workflows.

### 1. Create a configuration file for your connector

See the [connector documentation](connectors/) for instructions on how to create a configuration file for the service you would like to integrate with OpenMetadata.

### 2. Edit a Python script to define your ingestion DAG

Copy and paste the code below into a file called `openmetadata-airflow.py`. 

```python
import json
from datetime import timedelta

from airflow import DAG

try:
    from airflow.operators.python import PythonOperator
except ModuleNotFoundError:
    from airflow.operators.python_operator import PythonOperator

from airflow.utils.dates import days_ago

from metadata.ingestion.api.workflow import Workflow

default_args = {
    "owner": "user_name",
    "email": ["username@org.com"],
    "email_on_failure": False,
    "retries": 3,
    "retry_delay": timedelta(seconds=10),
    "execution_timeout": timedelta(minutes=60),
}

config = """
  ## REPLACE THIS LINE WITH YOUR CONFIGURATION JSON
"""

def metadata_ingestion_workflow():
    workflow_config = json.loads(config)
    workflow = Workflow.create(workflow_config)
    workflow.execute()
    workflow.raise_from_status()
    workflow.print_status()
    workflow.stop()

with DAG(
    "sample_data",
    default_args=default_args,
    description="An example DAG which runs a OpenMetadata ingestion workflow",
    start_date=days_ago(1),
    is_paused_upon_creation=False,
    catchup=False,
) as dag:
    ingest_task = PythonOperator(
        task_id="ingest_using_recipe",
        python_callable=metadata_ingestion_workflow,
    )
```

### 3. Copy your configuration JSON into the ingestion script

In step 1 above you created a JSON file with the configuration for your ingestion connector. Copy that JSON into the `openmetadata-airflow.py` file that you created in step 2 as directed by the comment below.

```
config = """
  ## REPLACE THIS LINE WITH YOUR CONFIGURATION JSON
"""
```

### 14. Run the script to create your ingestion DAG

Run the following command to create your ingestion DAG in Airflow.

```
python openmetadata-airflow.py
```