timgriffiths edited a comment on issue #13542:
URL: https://github.com/apache/airflow/issues/13542#issuecomment-854356862
Environment:
Airflow 2.1.0
Docker : apache/airflow:2.1.0-python3.8
Executor : Celery
So I have also hit this today, the way i was able to replicate this
-> have a py file that generates move than 1 dag
-> then have a user break 1 of the dag from this resultant chain
-> all the other still valid dags will be triggered in the scheduler but
fail in the Worker but it looks like the exception is not passed back to the
Scheduler so it permanently stays in a "queued state"
> [2021-06-04 01:11:22,927: INFO/ForkPoolWorker-40] Executing command in
Celery: ['airflow', 'tasks', 'run', 'myworkingjob', 'taskname-abc',
'2021-06-04T01:11:21.775097+00:00', '--local', '--pool', 'pool', '--subdir',
'/opt/airflow/dags/mm-dynamic-dags.py']
[2021-06-04 01:11:22,940: INFO/ForkPoolWorker-34] Filling up the DagBag from
/opt/airflow/dags/mm-dynamic-dags.py
[2021-06-04 01:11:27,993: ERROR/ForkPoolWorker-39] Failed to import:
/opt/airflow/dags/mm-dynamic-dags.py
Traceback (most recent call last):
File
"/home/airflow/.local/lib/python3.8/site-packages/airflow/models/dagbag.py",
line 317, in _load_modules_from_file
loader.exec_module(new_module)
File "<frozen importlib._bootstrap_external>", line 848, in exec_module
File "<frozen importlib._bootstrap>", line 219, in
_call_with_frames_removed
File "/opt/airflow/dags/mm-dynamic-dags.py", line 187, in <module>
create_dag("{}/{}".format(global_dags_base_url, dag_file))
File "/opt/airflow/dags/mm-dynamic-dags.py", line 123, in create_dag
dag = DAG(
File
"/home/airflow/.local/lib/python3.8/site-packages/airflow/models/dag.py", line
277, in __init__
validate_key(dag_id)
File
"/home/airflow/.local/lib/python3.8/site-packages/airflow/utils/helpers.py",
line 44, in validate_key
raise AirflowException(
airflow.exceptions.AirflowException: The key (test-test+abc) has to be made
of alphanumeric characters, dashes, dots and underscores exclusively
[2021-06-04 01:11:27,996: ERROR/ForkPoolWorker-39] Failed to execute task
dag_id could not be found: myworkingjob. Either the dag did not exist or it
failed to parse..
Traceback (most recent call last):
File
"/home/airflow/.local/lib/python3.8/site-packages/airflow/executors/celery_executor.py",
line 116, in _execute_in_fork
args.func(args)
File
"/home/airflow/.local/lib/python3.8/site-packages/airflow/cli/cli_parser.py",
line 48, in command
return func(*args, **kwargs)
File
"/home/airflow/.local/lib/python3.8/site-packages/airflow/utils/cli.py", line
91, in wrapper
return f(*args, **kwargs)
File
"/home/airflow/.local/lib/python3.8/site-packages/airflow/cli/commands/task_command.py",
line 219, in task_run
dag = get_dag(args.subdir, args.dag_id)
File
"/home/airflow/.local/lib/python3.8/site-packages/airflow/utils/cli.py", line
191, in get_dag
raise AirflowException(
airflow.exceptions.AirflowException: dag_id could not be found:
myworkingjob. Either the dag did not exist or it failed to parse.
[2021-06-04 01:11:28,017: ERROR/ForkPoolWorker-39] Task
airflow.executors.celery_executor.execute_command[66453177-4042-4c6a-882b-bd0fcdbda0d8]
raised unexpected: AirflowException('Celery command failed on host:
airflow-mm-worker-5464db666b-f8mlm')
Traceback (most recent call last):
File
"/home/airflow/.local/lib/python3.8/site-packages/celery/app/trace.py", line
412, in trace_task
R = retval = fun(*args, **kwargs)
File
"/home/airflow/.local/lib/python3.8/site-packages/celery/app/trace.py", line
704, in __protected_call__
return self.run(*args, **kwargs)
File
"/home/airflow/.local/lib/python3.8/site-packages/airflow/executors/celery_executor.py",
line 87, in execute_command
_execute_in_fork(command_to_exec)
File
"/home/airflow/.local/lib/python3.8/site-packages/airflow/executors/celery_executor.py",
line 98, in _execute_in_fork
raise AirflowException('Celery command failed on host: ' +
get_hostname())
airflow.exceptions.AirflowException: Celery command failed on host:
airflow-mm-worker-5464db666b-f8mlm
[2021-06-04 01:11:28,091: ERROR/ForkPoolWorker-37] Failed to import:
/opt/airflow/dags/mm-dynamic-dags.py
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