mrpowerus commented on issue #14974:
URL: https://github.com/apache/airflow/issues/14974#issuecomment-806639297


   Running a dummy task seems to solve the problem (in line with the findings 
before):
   ```
   
   #######
   # Running this DAG each 20 min, tries to solve the problems in the 
KubernetsJobWatcher as described here 
   # https://github.com/apache/airflow/issues/14974
   #######
   
   from airflow import DAG
   from airflow import configuration as conf
   from datetime import datetime, timedelta
   from airflow.operators.bash import BashOperator
   
   
   default_args = {
       'owner': 'airflow',
       'depends_on_past': False,
       'email_on_failure': False,
       'email_on_retry': False,
       'retries': 1,
       'retry_delay': timedelta(minutes=1),
       'schedule_interval': timedelta(minutes=5),
       'catchup':False
   }
   
   # Using a DAG context manager, you don't have to specify the dag property of 
each task
   dag = DAG('bug-fix',
            start_date=datetime(2019, 1, 1),
            max_active_runs=1,
            default_args=default_args
            ) 
   
   operator = BashOperator(    
       task_id='echo',
       bash_command='echo running',
       dag=dag)
   
   
   ```
   
   


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