We can put many tasks(operators) in one subdag. We can keep our dag clean by using subdag.
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By clicking on the subdag which is section-1 here, we can see the tasks under it.
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Which is look like as below,
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We will create our own subdag. Before that you look at airflow subdag example once by clicking here. This will give you a basic idea about the subdag. let’s start creating subdag.
First create subdags directory inside dags folder
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inside subdag_example.py
from airflow import DAG from datetime import datetime from airflow.operators.subdag import SubDagOperator from airflow.operators.bash import BashOperator def subdag_example(parent_dag_id, child_dag_id, default_args): with DAG(dag_id=f'{parent_dag_id}.{child_dag_id}', default_args=default_args) as dag: python_task2 = BashOperator( task_id='python_task2', bash_command='sleep 2' ) python_task3 = BashOperator( task_id='python_task3', bash_command='sleep 2' ) return dag
inside Hello_world_ex.py write below code
from airflow import DAG from airflow.operators.python import PythonOperator from datetime import datetime from airflow.operators.subdag import SubDagOperator from subdags.subdag_example import subdag_example default_args={ 'start_date':datetime(2021,8,19) } def task1(): print("Hello task1") def task4(): print("Hello task4") with DAG(dag_id = 'hello_world_dag1', default_args = default_args, schedule_interval='@hourly', catchup=False) as dag: python_task1 = PythonOperator( task_id="python_task", python_callable=task1 ) example_subdag = SubDagOperator( task_id = 'example_tasks', subdag = subdag_example('hello_world_dag1', 'example_tasks', default_args) ) python_task4 = PythonOperator( task_id='python_task4', python_callable=task4 ) python_task1 >> example_subdag >> python_task4
in subDagOperator we pass subdag id and subdag function.
You can see more airflow blog by clicking here.