nitinpandey-154 commented on issue #13542:
URL: https://github.com/apache/airflow/issues/13542#issuecomment-846808019
Environment:
- Airflow 2.1.0
- Docker : apache/airflow:2.1.0-python3.8
- Executor : Celery
I am facing the same issue again. This happens randomly and even after
cleaning up the tasks instances and/or restarting the container is not fixing
the issue.
airflow-scheduler | [2021-05-24 06:46:52,008] {scheduler_job.py:1105}
INFO - Sending TaskInstanceKey(dag_id='airflow_health_checkup',
task_id='send_heartbeat', execution_date=datetime.datetime(2021, 5, 24, 4, 21,
tzinfo=Timezone('UTC')), try_number=1) to executor with priority 100 and queue
airflow_maintenance
airflow-scheduler | [2021-05-24 06:46:52,008] {base_executor.py:85} ERROR
- could not queue task TaskInstanceKey(dag_id='airflow_health_checkup',
task_id='send_heartbeat', execution_date=datetime.datetime(2021, 5, 24, 4, 21,
tzinfo=Timezone('UTC')), try_number=1)
airflow-scheduler | [2021-05-24 06:46:52,008] {scheduler_job.py:1105}
INFO - Sending TaskInstanceKey(dag_id='airflow_health_checkup',
task_id='send_heartbeat', execution_date=datetime.datetime(2021, 5, 24, 4, 24,
tzinfo=Timezone('UTC')), try_number=1) to executor with priority 100 and queue
airflow_maintenance
airflow-scheduler | [2021-05-24 06:46:52,009] {base_executor.py:85} ERROR
- could not queue task TaskInstanceKey(dag_id='airflow_health_checkup',
task_id='send_heartbeat', execution_date=datetime.datetime(2021, 5, 24, 4, 24,
tzinfo=Timezone('UTC')), try_number=1)
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
[email protected]