jedcunningham commented on issue #17238:
URL: https://github.com/apache/airflow/issues/17238#issuecomment-890121751


   I've tried to replicate this with the following DAG without success:
   
   ```
   import time
   from datetime import datetime
   
   from airflow import DAG
   from airflow.operators.dummy import DummyOperator
   from airflow.operators.python import PythonOperator
   
   default_args = {"start_date": datetime(2021, 7, 30)}
   
   with DAG("skipped", default_args=default_args, schedule_interval=None) as 
dag:
       start = DummyOperator(task_id="start")
       end = DummyOperator(task_id="end")
       for i in range(5):
           prev = start
           for j in range(3):
               t = PythonOperator(
                   task_id=f"t-{i}-{j}", python_callable=lambda: time.sleep(10)
               )
               prev >> t
               prev = t
           t >> end
   ```
   
   @mgorsk1, any chance you could try in your instance with that DAG? Also, 
filtering down to the pod name might be missing an important log message. I'd 
try filtering by a unique task_id (if there is one) too.


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