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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