Object of type datetime is not JSON serializable after detecting zombie jobs with CeleryExecutor and separated Scheduler and DAG-Processor

Apache Airflow version

2.3.3 (latest released)

What happened

After running for a certain period (few minutes until several hours depending on the number of active DAGs in the environment) The scheduler crashes with the following error message:

[2022-07-26 15:07:24,362] {executor_loader.py:105} INFO - Loaded executor: CeleryExecutor
[2022-07-26 15:07:24,363] {scheduler_job.py:1252} INFO - Resetting orphaned tasks for active dag runs
[2022-07-26 15:07:25,585] {celery_executor.py:532} INFO - Adopted the following 1 tasks from a dead executor
    <TaskInstance: freewheel_uafl_data_scala.freewheel.delivery_data scheduled__2022-07-25T04:15:00+00:00 [running]> in state STARTED
[2022-07-26 15:07:35,881] {scheduler_job.py:1381} WARNING - Failing (1) jobs without heartbeat after 2022-07-26 12:37:35.868798+00:00
[2022-07-26 15:07:35,881] {scheduler_job.py:1389} ERROR - Detected zombie job: {'full_filepath': '/data/dags/09_scala_apps/freewheel_uafl_data_scala.py', 'msg': 'Detected <TaskInstance: freewheel_uafl_data_scala.freewheel.delivery_data scheduled__2022-07-25T04:15:00+00:00 [running]> as zombie', 'simple_task_instance': <airflow.models.taskinstance.SimpleTaskInstance object at 0x7fb4a1105690>, 'is_failure_callback': True}
[2022-07-26 15:07:35,883] {scheduler_job.py:769} ERROR - Exception when executing SchedulerJob._run_scheduler_loop
Traceback (most recent call last):
  File "/usr/lib/python3.10/site-packages/airflow/jobs/scheduler_job.py", line 752, in _execute
    self._run_scheduler_loop()
  File "/usr/lib/python3.10/site-packages/airflow/jobs/scheduler_job.py", line 873, in _run_scheduler_loop
    next_event = timers.run(blocking=False)
  File "/usr/lib/python3.10/sched.py", line 151, in run
    action(*argument, **kwargs)
  File "/usr/lib/python3.10/site-packages/airflow/utils/event_scheduler.py", line 36, in repeat
    action(*args, **kwargs)
  File "/usr/lib/python3.10/site-packages/airflow/utils/session.py", line 71, in wrapper
    return func(*args, session=session, **kwargs)
  File "/usr/lib/python3.10/site-packages/airflow/jobs/scheduler_job.py", line 1390, in _find_zombies
    self.executor.send_callback(request)
  File "/usr/lib/python3.10/site-packages/airflow/executors/base_executor.py", line 363, in send_callback
    self.callback_sink.send(request)
  File "/usr/lib/python3.10/site-packages/airflow/utils/session.py", line 71, in wrapper
    return func(*args, session=session, **kwargs)
  File "/usr/lib/python3.10/site-packages/airflow/callbacks/database_callback_sink.py", line 34, in send
    db_callback = DbCallbackRequest(callback=callback, priority_weight=10)
  File "<string>", line 4, in __init__
  File "/usr/lib/python3.10/site-packages/sqlalchemy/orm/state.py", line 481, in _initialize_instance
    with util.safe_reraise():
  File "/usr/lib/python3.10/site-packages/sqlalchemy/util/langhelpers.py", line 70, in __exit__
    compat.raise_(
  File "/usr/lib/python3.10/site-packages/sqlalchemy/util/compat.py", line 208, in raise_
    raise exception
  File "/usr/lib/python3.10/site-packages/sqlalchemy/orm/state.py", line 479, in _initialize_instance
    return manager.original_init(*mixed[1:], **kwargs)
  File "/usr/lib/python3.10/site-packages/airflow/models/db_callback_request.py", line 44, in __init__
    self.callback_data = callback.to_json()
  File "/usr/lib/python3.10/site-packages/airflow/callbacks/callback_requests.py", line 79, in to_json
    return json.dumps(dict_obj)
  File "/usr/lib/python3.10/json/__init__.py", line 231, in dumps
    return _default_encoder.encode(obj)
  File "/usr/lib/python3.10/json/encoder.py", line 199, in encode
    chunks = self.iterencode(o, _one_shot=True)
  File "/usr/lib/python3.10/json/encoder.py", line 257, in iterencode
    return _iterencode(o, 0)
  File "/usr/lib/python3.10/json/encoder.py", line 179, in default
    raise TypeError(f'Object of type {o.__class__.__name__} '
TypeError: Object of type datetime is not JSON serializable
[2022-07-26 15:07:36,100] {scheduler_job.py:781} INFO - Exited execute loop
Traceback (most recent call last):
  File "/usr/bin/airflow", line 8, in <module>
    sys.exit(main())
  File "/usr/lib/python3.10/site-packages/airflow/__main__.py", line 38, in main
    args.func(args)
  File "/usr/lib/python3.10/site-packages/airflow/cli/cli_parser.py", line 51, in command
    return func(*args, **kwargs)
  File "/usr/lib/python3.10/site-packages/airflow/utils/cli.py", line 99, in wrapper
    return f(*args, **kwargs)
  File "/usr/lib/python3.10/site-packages/airflow/cli/commands/scheduler_command.py", line 75, in scheduler
    _run_scheduler_job(args=args)
  File "/usr/lib/python3.10/site-packages/airflow/cli/commands/scheduler_command.py", line 46, in _run_scheduler_job
    job.run()
  File "/usr/lib/python3.10/site-packages/airflow/jobs/base_job.py", line 244, in run
    self._execute()
  File "/usr/lib/python3.10/site-packages/airflow/jobs/scheduler_job.py", line 752, in _execute
    self._run_scheduler_loop()
  File "/usr/lib/python3.10/site-packages/airflow/jobs/scheduler_job.py", line 873, in _run_scheduler_loop
    next_event = timers.run(blocking=False)
  File "/usr/lib/python3.10/sched.py", line 151, in run
    action(*argument, **kwargs)
  File "/usr/lib/python3.10/site-packages/airflow/utils/event_scheduler.py", line 36, in repeat
    action(*args, **kwargs)
  File "/usr/lib/python3.10/site-packages/airflow/utils/session.py", line 71, in wrapper
    return func(*args, session=session, **kwargs)
  File "/usr/lib/python3.10/site-packages/airflow/jobs/scheduler_job.py", line 1390, in _find_zombies
    self.executor.send_callback(request)
  File "/usr/lib/python3.10/site-packages/airflow/executors/base_executor.py", line 363, in send_callback
    self.callback_sink.send(request)
  File "/usr/lib/python3.10/site-packages/airflow/utils/session.py", line 71, in wrapper
    return func(*args, session=session, **kwargs)
  File "/usr/lib/python3.10/site-packages/airflow/callbacks/database_callback_sink.py", line 34, in send
    db_callback = DbCallbackRequest(callback=callback, priority_weight=10)
  File "<string>", line 4, in __init__
  File "/usr/lib/python3.10/site-packages/sqlalchemy/orm/state.py", line 481, in _initialize_instance
    with util.safe_reraise():
  File "/usr/lib/python3.10/site-packages/sqlalchemy/util/langhelpers.py", line 70, in __exit__
    compat.raise_(
  File "/usr/lib/python3.10/site-packages/sqlalchemy/util/compat.py", line 208, in raise_
    raise exception
  File "/usr/lib/python3.10/site-packages/sqlalchemy/orm/state.py", line 479, in _initialize_instance
    return manager.original_init(*mixed[1:], **kwargs)
  File "/usr/lib/python3.10/site-packages/airflow/models/db_callback_request.py", line 44, in __init__
    self.callback_data = callback.to_json()
  File "/usr/lib/python3.10/site-packages/airflow/callbacks/callback_requests.py", line 79, in to_json
    return json.dumps(dict_obj)
  File "/usr/lib/python3.10/json/__init__.py", line 231, in dumps
    return _default_encoder.encode(obj)
  File "/usr/lib/python3.10/json/encoder.py", line 199, in encode
    chunks = self.iterencode(o, _one_shot=True)
  File "/usr/lib/python3.10/json/encoder.py", line 257, in iterencode
    return _iterencode(o, 0)
  File "/usr/lib/python3.10/json/encoder.py", line 179, in default
    raise TypeError(f'Object of type {o.__class__.__name__} '
TypeError: Object of type datetime is not JSON serializable

What you think should happen instead

The scheduler should handle zombie jobs without crashing.

How to reproduce

The following conditions are necessary:

dag-processor and scheduler run in separated containers
AirFlow uses the CeleryExecutor
There are zombie jobs

Operating System

Alpine Linux 3.16.1

Versions of Apache Airflow Providers

apache-airflow-providers-apache-hdfs==3.0.1
apache-airflow-providers-celery==3.0.0
apache-airflow-providers-cncf-kubernetes==4.2.0
apache-airflow-providers-common-sql==1.0.0
apache-airflow-providers-datadog==3.0.0
apache-airflow-providers-exasol==2.1.3
apache-airflow-providers-ftp==3.1.0
apache-airflow-providers-http==4.0.0
apache-airflow-providers-imap==3.0.0
apache-airflow-providers-jenkins==3.0.0
apache-airflow-providers-microsoft-mssql==3.1.0
apache-airflow-providers-odbc==3.1.0
apache-airflow-providers-oracle==3.1.0
apache-airflow-providers-postgres==5.1.0
apache-airflow-providers-redis==3.0.0
apache-airflow-providers-slack==5.1.0
apache-airflow-providers-sqlite==3.1.0
apache-airflow-providers-ssh==3.1.0

Deployment

Other 3rd-party Helm chart

Deployment details

One Pod on Kubernetes containing the following containers

1 Container for the webserver service
1 Container for the scheduler service
1 Container for the dag-processor service
1 Container for the flower service
1 Container for the redis service
2 or 3 containers for the celery workers services

Due to a previous issue crashing the scheduler with the message UNEXPECTED COMMIT - THIS WILL BREAK HA LOCKS, we substitute scheduler_job.py with the file https://raw.githubusercontent.com/tanelk/airflow/a4b22932e5ac9c2b6f37c8c58345eee0f63cae09/airflow/jobs/scheduler_job.py.
Sadly I don't remember which issue or MR exactly but it was related to scheduler and dag-processor running in separate containers.

Anything else

It looks like that only the combination of CeleryExecutor and separated scheduler and dag-processor services crashes the scheduler when handling zombie jobs.
The KubernetesExecutor with separated scheduler and dag-processor doesn't crash the scheduler.
It looks like the CeleryExecutor with scheduler and dag-processor in the same container doesn't crash the scheduler.

Are you willing to submit PR?

Yes I am willing to submit a PR!

Code of Conduct

I agree to follow this project's Code of Conduct

@mhenc

@mhenc - maybe you can take a look - this looks like a case where serialisation of the callback will fail (because we are trying to serialize dateteime object in this specific case).

It looks like the necessary condition for this serialisation error is just the separation of scheduler and dag-processor in 2 different containers, the CeleryExecutor is not necessary to reproduce the error.
However, without Celery the error is much rarer and restarting all services fixes it.
On the contrary, with Celery, restarting the services doesn't fix this issue.

[2022-08-02 08:24:24,696] {scheduler_job.py:1381} WARNING - Failing (3) jobs without heartbeat after 2022-08-02 05:54:24.648908+00:00
[2022-08-02 08:24:24,696] {scheduler_job.py:1389} ERROR - Detected zombie job: {'full_filepath': '/data/dags/01_sources/adobe/adobe_dag.py', 'msg': 'Detected <TaskInstance: adobe_dag.adobe.prescript scheduled__2022-08-01T05:00:00+00:00 [running]> as zombie', 'simple_task_instance': <airflow.models.taskinstance.SimpleTaskInstance object at 0x7effb1585060>, 'is_failure_callback': True}
[2022-08-02 08:24:24,706] {scheduler_job.py:769} ERROR - Exception when executing SchedulerJob._run_scheduler_loop
Traceback (most recent call last):
  File "/usr/lib/python3.10/site-packages/airflow/jobs/scheduler_job.py", line 752, in _execute
    self._run_scheduler_loop()
  File "/usr/lib/python3.10/site-packages/airflow/jobs/scheduler_job.py", line 873, in _run_scheduler_loop
    next_event = timers.run(blocking=False)
  File "/usr/lib/python3.10/sched.py", line 151, in run
    action(*argument, **kwargs)
  File "/usr/lib/python3.10/site-packages/airflow/utils/event_scheduler.py", line 36, in repeat
    action(*args, **kwargs)
  File "/usr/lib/python3.10/site-packages/airflow/utils/session.py", line 71, in wrapper
    return func(*args, session=session, **kwargs)
  File "/usr/lib/python3.10/site-packages/airflow/jobs/scheduler_job.py", line 1390, in _find_zombies
    self.executor.send_callback(request)
  File "/usr/lib/python3.10/site-packages/airflow/executors/base_executor.py", line 363, in send_callback
    self.callback_sink.send(request)
  File "/usr/lib/python3.10/site-packages/airflow/utils/session.py", line 71, in wrapper
    return func(*args, session=session, **kwargs)
  File "/usr/lib/python3.10/site-packages/airflow/callbacks/database_callback_sink.py", line 34, in send
    db_callback = DbCallbackRequest(callback=callback, priority_weight=10)
  File "<string>", line 4, in __init__
  File "/usr/lib/python3.10/site-packages/sqlalchemy/orm/state.py", line 481, in _initialize_instance
    with util.safe_reraise():
  File "/usr/lib/python3.10/site-packages/sqlalchemy/util/langhelpers.py", line 70, in __exit__
    compat.raise_(
  File "/usr/lib/python3.10/site-packages/sqlalchemy/util/compat.py", line 208, in raise_
    raise exception
  File "/usr/lib/python3.10/site-packages/sqlalchemy/orm/state.py", line 479, in _initialize_instance
    return manager.original_init(*mixed[1:], **kwargs)
  File "/usr/lib/python3.10/site-packages/airflow/models/db_callback_request.py", line 44, in __init__
    self.callback_data = callback.to_json()
  File "/usr/lib/python3.10/site-packages/airflow/callbacks/callback_requests.py", line 79, in to_json
    return json.dumps(dict_obj)
  File "/usr/lib/python3.10/json/__init__.py", line 231, in dumps
    return _default_encoder.encode(obj)
  File "/usr/lib/python3.10/json/encoder.py", line 199, in encode
    chunks = self.iterencode(o, _one_shot=True)
  File "/usr/lib/python3.10/json/encoder.py", line 257, in iterencode
    return _iterencode(o, 0)
  File "/usr/lib/python3.10/json/encoder.py", line 179, in default
    raise TypeError(f'Object of type {o.__class__.__name__} '
TypeError: Object of type datetime is not JSON serializable
[2022-08-02 08:24:24,710] {kubernetes_executor.py:821} INFO - Shutting down Kubernetes executor
[2022-08-02 08:24:24,710] {kubernetes_executor.py:781} WARNING - Executor shutting down, will NOT run task=(TaskInstanceKey(dag_id='refresh_gfk_d_5_min_dag', task_id='check.status', run_id='manual__2022-08-02T04:00:00+00:00', try_number=1, map_index=-1), ['airflow', 'tasks', 'run', 'refresh_gfk_d_5_min_dag', 'check.status', 'manual__2022-08-02T04:00:00+00:00', '--local', '--subdir', 'DAGS_FOLDER/05_generators/dwh_refresh_generator_dag.py'], None, None)
[2022-08-02 08:24:24,711] {kubernetes_executor.py:781} WARNING - Executor shutting down, will NOT run task=(TaskInstanceKey(dag_id='refresh_gfk_d_tagesslots_dag', task_id='check.status', run_id='manual__2022-08-02T04:00:00+00:00', try_number=1, map_index=-1), ['airflow', 'tasks', 'run', 'refresh_gfk_d_tagesslots_dag', 'check.status', 'manual__2022-08-02T04:00:00+00:00', '--local', '--subdir', 'DAGS_FOLDER/05_generators/dwh_refresh_generator_dag.py'], None, None)
[2022-08-02 08:24:24,711] {kubernetes_executor.py:781} WARNING - Executor shutting down, will NOT run task=(TaskInstanceKey(dag_id='check_gfk_d_tagesslots_dag', task_id='wait.until.finished', run_id='scheduled__2022-08-02T04:00:00+00:00', try_number=1, map_index=-1), ['airflow', 'tasks', 'run', 'check_gfk_d_tagesslots_dag', 'wait.until.finished', 'scheduled__2022-08-02T04:00:00+00:00', '--local', '--subdir', 'DAGS_FOLDER/05_generators/check_deliveries_generator_dag.py'], None, None)
[2022-08-02 08:24:24,711] {kubernetes_executor.py:781} WARNING - Executor shutting down, will NOT run task=(TaskInstanceKey(dag_id='check_gfk_d_agf_slots_dag', task_id='wait.until.finished', run_id='scheduled__2022-08-02T04:00:00+00:00', try_number=1, map_index=-1), ['airflow', 'tasks', 'run', 'check_gfk_d_agf_slots_dag', 'wait.until.finished', 'scheduled__2022-08-02T04:00:00+00:00', '--local', '--subdir', 'DAGS_FOLDER/05_generators/check_deliveries_generator_dag.py'], None, None)
[2022-08-02 08:24:24,711] {kubernetes_executor.py:781} WARNING - Executor shutting down, will NOT run task=(TaskInstanceKey(dag_id='check_gfk_d_5_min_dag', task_id='wait.until.finished', run_id='scheduled__2022-08-02T04:00:00+00:00', try_number=1, map_index=-1), ['airflow', 'tasks', 'run', 'check_gfk_d_5_min_dag', 'wait.until.finished', 'scheduled__2022-08-02T04:00:00+00:00', '--local', '--subdir', 'DAGS_FOLDER/05_generators/check_deliveries_generator_dag.py'], None, None)
[2022-08-02 08:24:24,712] {kubernetes_executor.py:781} WARNING - Executor shutting down, will NOT run task=(TaskInstanceKey(dag_id='check_gfk_d_ausstrahlungen_dag', task_id='finished', run_id='scheduled__2022-08-02T04:00:00+00:00', try_number=1, map_index=-1), ['airflow', 'tasks', 'run', 'check_gfk_d_ausstrahlungen_dag', 'finished', 'scheduled__2022-08-02T04:00:00+00:00', '--local', '--subdir', 'DAGS_FOLDER/05_generators/check_deliveries_generator_dag.py'], None, None)
[2022-08-02 08:24:24,712] {kubernetes_executor.py:781} WARNING - Executor shutting down, will NOT run task=(TaskInstanceKey(dag_id='check_gfk_d_sendungsteile_dag', task_id='finished', run_id='scheduled__2022-08-02T04:00:00+00:00', try_number=1, map_index=-1), ['airflow', 'tasks', 'run', 'check_gfk_d_sendungsteile_dag', 'finished', 'scheduled__2022-08-02T04:00:00+00:00', '--local', '--subdir', 'DAGS_FOLDER/01_sources/gfk_d_sendungsteile/gfk_d_sendungsteile.py'], None, None)
[2022-08-02 08:24:24,712] {kubernetes_executor.py:781} WARNING - Executor shutting down, will NOT run task=(TaskInstanceKey(dag_id='freewheel_dag', task_id='check.prescript', run_id='scheduled__2022-08-02T05:20:00+00:00', try_number=1, map_index=-1), ['airflow', 'tasks', 'run', 'freewheel_dag', 'check.prescript', 'scheduled__2022-08-02T05:20:00+00:00', '--local', '--subdir', 'DAGS_FOLDER/01_sources/freewheel/freewheel_dag.py'], None, None)
[2022-08-02 08:24:24,747] {scheduler_job.py:781} INFO - Exited execute loop
Traceback (most recent call last):
  File "/usr/bin/airflow", line 8, in <module>
    sys.exit(main())
  File "/usr/lib/python3.10/site-packages/airflow/__main__.py", line 38, in main
    args.func(args)
  File "/usr/lib/python3.10/site-packages/airflow/cli/cli_parser.py", line 51, in command
    return func(*args, **kwargs)
  File "/usr/lib/python3.10/site-packages/airflow/utils/cli.py", line 99, in wrapper
    return f(*args, **kwargs)
  File "/usr/lib/python3.10/site-packages/airflow/cli/commands/scheduler_command.py", line 75, in scheduler
    _run_scheduler_job(args=args)
  File "/usr/lib/python3.10/site-packages/airflow/cli/commands/scheduler_command.py", line 46, in _run_scheduler_job
    job.run()
  File "/usr/lib/python3.10/site-packages/airflow/jobs/base_job.py", line 244, in run
    self._execute()
  File "/usr/lib/python3.10/site-packages/airflow/jobs/scheduler_job.py", line 752, in _execute
    self._run_scheduler_loop()
  File "/usr/lib/python3.10/site-packages/airflow/jobs/scheduler_job.py", line 873, in _run_scheduler_loop
    next_event = timers.run(blocking=False)
  File "/usr/lib/python3.10/sched.py", line 151, in run
    action(*argument, **kwargs)
  File "/usr/lib/python3.10/site-packages/airflow/utils/event_scheduler.py", line 36, in repeat
    action(*args, **kwargs)
  File "/usr/lib/python3.10/site-packages/airflow/utils/session.py", line 71, in wrapper
    return func(*args, session=session, **kwargs)
  File "/usr/lib/python3.10/site-packages/airflow/jobs/scheduler_job.py", line 1390, in _find_zombies
    self.executor.send_callback(request)
  File "/usr/lib/python3.10/site-packages/airflow/executors/base_executor.py", line 363, in send_callback
    self.callback_sink.send(request)
  File "/usr/lib/python3.10/site-packages/airflow/utils/session.py", line 71, in wrapper
    return func(*args, session=session, **kwargs)
  File "/usr/lib/python3.10/site-packages/airflow/callbacks/database_callback_sink.py", line 34, in send
    db_callback = DbCallbackRequest(callback=callback, priority_weight=10)
  File "<string>", line 4, in __init__
  File "/usr/lib/python3.10/site-packages/sqlalchemy/orm/state.py", line 481, in _initialize_instance
    with util.safe_reraise():
  File "/usr/lib/python3.10/site-packages/sqlalchemy/util/langhelpers.py", line 70, in __exit__
    compat.raise_(
  File "/usr/lib/python3.10/site-packages/sqlalchemy/util/compat.py", line 208, in raise_
    raise exception
  File "/usr/lib/python3.10/site-packages/sqlalchemy/orm/state.py", line 479, in _initialize_instance
    return manager.original_init(*mixed[1:], **kwargs)
  File "/usr/lib/python3.10/site-packages/airflow/models/db_callback_request.py", line 44, in __init__
    self.callback_data = callback.to_json()
  File "/usr/lib/python3.10/site-packages/airflow/callbacks/callback_requests.py", line 79, in to_json
    return json.dumps(dict_obj)
  File "/usr/lib/python3.10/json/__init__.py", line 231, in dumps
    return _default_encoder.encode(obj)
  File "/usr/lib/python3.10/json/encoder.py", line 199, in encode
    chunks = self.iterencode(o, _one_shot=True)
  File "/usr/lib/python3.10/json/encoder.py", line 257, in iterencode
    return _iterencode(o, 0)
  File "/usr/lib/python3.10/json/encoder.py", line 179, in default
    raise TypeError(f'Object of type {o.__class__.__name__} '
TypeError: Object of type datetime is not JSON serializable

I'm taking a look

Basically, the start_date and end_date in SimpleTaskInstance.from_ti can't be serialized because they are datetime. I was able to reproduce it yesterday

Thanks for debugging! Is this something that happens only when scheduler and dag-processor run in separated processes or can it happen even if the run together?

Thanks for debugging! Is this something that happens only when scheduler and dag-processor run in separated processes or can it happen even if the run together?

Yes. It can happen even if they run together. I have made a PR #25471

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Object of type datetime is not JSON serializable after detecting zombie jobs with CeleryExecutor and separated Scheduler and DAG-Processor #25343

Apache Airflow version

What happened

What you think should happen instead

How to reproduce

Operating System

Versions of Apache Airflow Providers

Deployment

Deployment details

Anything else

Are you willing to submit PR?

Code of Conduct

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Object of type datetime is not JSON serializable after detecting zombie jobs with CeleryExecutor and separated Scheduler and DAG-Processor #25343

Description

Apache Airflow version

What happened

What you think should happen instead

How to reproduce

Operating System

Versions of Apache Airflow Providers

Deployment

Deployment details

Anything else

Are you willing to submit PR?

Code of Conduct

Activity

potiuk commented on Jul 28, 2022

nicolamarangoni commented on Aug 2, 2022

ephraimbuddy commented on Aug 2, 2022

ephraimbuddy commented on Aug 2, 2022

nicolamarangoni commented on Aug 2, 2022

ephraimbuddy commented on Aug 2, 2022

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Metadata

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