ephraimbuddy commented on pull request #18310:
URL: https://github.com/apache/airflow/pull/18310#issuecomment-921380276


   You can reproduce the behaviour with this DAG:
   ```python
   import datetime
   from airflow import DAG
   from airflow.operators.bash import BashOperator
   
   
   default_args = {'wait_for_downstream': True, 'provide_context': False}
   
   with DAG(
       'test_downstream',
       start_date=datetime.datetime(2021,9,13),
       schedule_interval="@daily",
       default_args=default_args,
       catchup=True) as dag:
   
       task1 = BashOperator(task_id=f'task_1', bash_command='sleep 5')
   
       task2 = BashOperator(task_id=f'task_2', bash_command='sleep 5')
   
       task3 = BashOperator(task_id=f'task_3', bash_command='sleep 20')
   
       task4 = BashOperator(task_id=f'task_4', bash_command='sleep 5')
   
       task5 = BashOperator(task_id=f'task_5', bash_command='sleep 5')
       
       task6 = BashOperator(task_id='task_6', bash_command='sleep 5')
   
       task1 >> task2 >> task3 >> task4 >> task5 >> task6
   ```


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