c-thiel commented on issue #24525:
URL: https://github.com/apache/airflow/issues/24525#issuecomment-1175879117
We are having the same issue as well with the KubernetesExecutor:
```
Traceback (most recent call last):
File "/home/airflow/.local/bin/airflow", line 8, in <module>
sys.exit(main())
File
"/home/airflow/.local/lib/python3.9/site-packages/airflow/__main__.py", line
38, in main
args.func(args)
File
"/home/airflow/.local/lib/python3.9/site-packages/airflow/cli/cli_parser.py",
line 51, in command
return func(*args, **kwargs)
File
"/home/airflow/.local/lib/python3.9/site-packages/airflow/utils/cli.py", line
99, in wrapper
return f(*args, **kwargs)
File
"/home/airflow/.local/lib/python3.9/site-packages/airflow/cli/commands/task_command.py",
line 376, in task_run
_run_task_by_selected_method(args, dag, ti)
File
"/home/airflow/.local/lib/python3.9/site-packages/airflow/cli/commands/task_command.py",
line 182, in _run_task_by_selected_method
_run_task_by_local_task_job(args, ti)
File
"/home/airflow/.local/lib/python3.9/site-packages/airflow/cli/commands/task_command.py",
line 240, in _run_task_by_local_task_job
run_job.run()
File
"/home/airflow/.local/lib/python3.9/site-packages/airflow/jobs/base_job.py",
line 244, in run
self._execute()
File
"/home/airflow/.local/lib/python3.9/site-packages/airflow/jobs/local_task_job.py",
line 133, in _execute
self.handle_task_exit(return_code)
File
"/home/airflow/.local/lib/python3.9/site-packages/airflow/jobs/local_task_job.py",
line 171, in handle_task_exit
self._run_mini_scheduler_on_child_tasks()
File
"/home/airflow/.local/lib/python3.9/site-packages/airflow/utils/session.py",
line 71, in wrapper
return func(*args, session=session, **kwargs)
File
"/home/airflow/.local/lib/python3.9/site-packages/airflow/jobs/local_task_job.py",
line 253, in _run_mini_scheduler_on_child_tasks
partial_dag = task.dag.partial_subset(
File
"/home/airflow/.local/lib/python3.9/site-packages/airflow/models/dag.py", line
2013, in partial_subset
dag.task_dict = {
File
"/home/airflow/.local/lib/python3.9/site-packages/airflow/models/dag.py", line
2014, in <dictcomp>
t.task_id: _deepcopy_task(t)
File
"/home/airflow/.local/lib/python3.9/site-packages/airflow/models/dag.py", line
2011, in _deepcopy_task
return copy.deepcopy(t, memo)
File "/usr/local/lib/python3.9/copy.py", line 153, in deepcopy
y = copier(memo)
File
"/home/airflow/.local/lib/python3.9/site-packages/airflow/models/baseoperator.py",
line 1156, in __deepcopy__
setattr(result, k, copy.deepcopy(v, memo))
File "/usr/local/lib/python3.9/copy.py", line 146, in deepcopy
y = copier(x, memo)
File "/usr/local/lib/python3.9/copy.py", line 230, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/usr/local/lib/python3.9/copy.py", line 146, in deepcopy
y = copier(x, memo)
File "/usr/local/lib/python3.9/copy.py", line 230, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/usr/local/lib/python3.9/copy.py", line 172, in deepcopy
y = _reconstruct(x, memo, *rv)
File "/usr/local/lib/python3.9/copy.py", line 270, in _reconstruct
state = deepcopy(state, memo)
File "/usr/local/lib/python3.9/copy.py", line 146, in deepcopy
y = copier(x, memo)
File "/usr/local/lib/python3.9/copy.py", line 230, in _deepcopy_dict
y[deepcopy(key, memo)] = deepcopy(value, memo)
File "/usr/local/lib/python3.9/copy.py", line 153, in deepcopy
y = copier(memo)
File
"/home/airflow/.local/lib/python3.9/site-packages/airflow/models/baseoperator.py",
line 1156, in __deepcopy__
setattr(result, k, copy.deepcopy(v, memo))
File
"/home/airflow/.local/lib/python3.9/site-packages/airflow/models/baseoperator.py",
line 1000, in __setattr__
self.set_xcomargs_dependencies()
File
"/home/airflow/.local/lib/python3.9/site-packages/airflow/models/baseoperator.py",
line 1107, in set_xcomargs_dependencies
XComArg.apply_upstream_relationship(self, arg)
File
"/home/airflow/.local/lib/python3.9/site-packages/airflow/models/xcom_arg.py",
line 186, in apply_upstream_relationship
op.set_upstream(ref.operator)
File
"/home/airflow/.local/lib/python3.9/site-packages/airflow/models/taskmixin.py",
line 241, in set_upstream
self._set_relatives(task_or_task_list, upstream=True,
edge_modifier=edge_modifier)
File
"/home/airflow/.local/lib/python3.9/site-packages/airflow/models/taskmixin.py",
line 185, in _set_relatives
dags: Set["DAG"] = {task.dag for task in [*self.roots, *task_list] if
task.has_dag() and task.dag}
File
"/home/airflow/.local/lib/python3.9/site-packages/airflow/models/taskmixin.py",
line 185, in <setcomp>
dags: Set["DAG"] = {task.dag for task in [*self.roots, *task_list] if
task.has_dag() and task.dag}
File
"/home/airflow/.local/lib/python3.9/site-packages/airflow/models/dag.py", line
508, in __hash__
val = tuple(self.task_dict.keys())
AttributeError: 'NoneType' object has no attribute 'keys'
```
Note that we have ``dag.partial_subset`` here as well.
As this is no longer only affecting the Mini-Scheduler (if I am right and
the issue is related), is this somehting we should schedule for 2.3.X instead
of 2.4?
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