uplsh580 opened a new issue #21058:
URL: https://github.com/apache/airflow/issues/21058


   ### Apache Airflow version
   
   2.2.3 (latest released)
   
   ### What happened
   
   It's the same situation as https://github.com/apache/airflow/issues/21023.
   Only change to `airflow dags backfill` from `airflow dags test`.
   
   ``` bash
   (airflow) [www@np-data-eng-airflow-sync001-lde-jp2v-prod ~]$ airflow dags 
backfill tutorial --reset-dagruns -s 2022-01-20 -e 2022-01-23
   You are about to delete these 9 tasks:
   <TaskInstance: tutorial.print_date 
scheduled__2022-01-20T07:48:54.720148+00:00 [success]>
   <TaskInstance: tutorial.print_date 
scheduled__2022-01-21T07:48:54.720148+00:00 [success]>
   <TaskInstance: tutorial.print_date 
scheduled__2022-01-22T07:48:54.720148+00:00 [success]>
   <TaskInstance: tutorial.sleep scheduled__2022-01-20T07:48:54.720148+00:00 
[success]>
   <TaskInstance: tutorial.sleep scheduled__2022-01-21T07:48:54.720148+00:00 
[success]>
   <TaskInstance: tutorial.sleep scheduled__2022-01-22T07:48:54.720148+00:00 
[success]>
   <TaskInstance: tutorial.templated 
scheduled__2022-01-20T07:48:54.720148+00:00 [success]>
   <TaskInstance: tutorial.templated 
scheduled__2022-01-21T07:48:54.720148+00:00 [success]>
   <TaskInstance: tutorial.templated 
scheduled__2022-01-22T07:48:54.720148+00:00 [success]>
   
   Are you sure? (yes/no):
   y
   Traceback (most recent call last):
     File "/home1/www/venv3/airflow/bin/airflow", line 8, in <module>
       sys.exit(main())
     File 
"/home1/www/venv3/airflow/lib/python3.7/site-packages/airflow/__main__.py", 
line 48, in main
       args.func(args)
     File 
"/home1/www/venv3/airflow/lib/python3.7/site-packages/airflow/cli/cli_parser.py",
 line 48, in command
       return func(*args, **kwargs)
     File 
"/home1/www/venv3/airflow/lib/python3.7/site-packages/airflow/utils/cli.py", 
line 92, in wrapper
       return f(*args, **kwargs)
     File 
"/home1/www/venv3/airflow/lib/python3.7/site-packages/airflow/cli/commands/dag_command.py",
 line 108, in dag_backfill
       dag_run_state=State.NONE,
     File 
"/home1/www/venv3/airflow/lib/python3.7/site-packages/airflow/models/dag.py", 
line 1948, in clear_dags
       dry_run=False,
     File 
"/home1/www/venv3/airflow/lib/python3.7/site-packages/airflow/utils/session.py",
 line 70, in wrapper
       return func(*args, session=session, **kwargs)
     File 
"/home1/www/venv3/airflow/lib/python3.7/site-packages/airflow/models/dag.py", 
line 1887, in clear
       dag_run_state=dag_run_state,
     File 
"/home1/www/venv3/airflow/lib/python3.7/site-packages/airflow/models/taskinstance.py",
 line 270, in clear_task_instances
       dr.state = dag_run_state
     File "<string>", line 1, in __set__
     File 
"/home1/www/venv3/airflow/lib/python3.7/site-packages/airflow/models/dagrun.py",
 line 194, in set_state
       raise ValueError(f"invalid DagRun state: {state}")
   ValueError: invalid DagRun state: None
   ```
   
   ### What you expected to happen
   
   _No response_
   
   ### How to reproduce
   
   1. Setup Airflow 2.2.3
   2. Run any dag (in my case, using [tutorial dag 
file)](https://airflow.apache.org/docs/apache-airflow/stable/tutorial.html).
   3. Run again same dag by `airflow dags backfill` command.
   
   ### Operating System
   
   CentOS Linux 7.9
   
   ### Versions of Apache Airflow Providers
   
   Providers info
   apache-airflow-providers-celery          | 2.1.0
   apache-airflow-providers-cncf-kubernetes | 3.0.1
   apache-airflow-providers-ftp             | 2.0.1
   apache-airflow-providers-http            | 2.0.2
   apache-airflow-providers-imap            | 2.1.0
   apache-airflow-providers-mysql           | 2.1.1
   apache-airflow-providers-redis           | 2.0.1
   apache-airflow-providers-slack           | 4.1.0
   apache-airflow-providers-sqlite          | 2.0.1
   apache-airflow-providers-ssh             | 2.3.0
   
   ### Deployment
   
   Virtualenv installation
   
   ### Deployment details
   
   _No response_
   
   ### Anything else
   
   _No response_
   
   ### Are you willing to submit PR?
   
   - [X] Yes I am willing to submit a PR!
   
   ### Code of Conduct
   
   - [X] I agree to follow this project's [Code of 
Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)
   


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