sushi30 opened a new issue #19385:
URL: https://github.com/apache/airflow/issues/19385


   ### Apache Airflow version
   
   2.2.1 (latest released)
   
   ### Operating System
   
   Centos 7
   
   ### Versions of Apache Airflow Providers
   
   _No response_
   
   ### Deployment
   
   Official Apache Airflow Helm Chart
   
   ### Deployment details
   
   _No response_
   
   ### What happened
   
   After upgrade to Airflow 2.2.1, an existing DAG failed with the following 
error after which the scheduler crashes:
   ```python
   [2021-11-03 14:52:39,739] {dagrun.py:715} WARNING - Failed to record 
duration of <DagRun 
housekeeping_unified_test.add_partitions_unified_test_public @ 2021-11-03 
13:37:54.190276+00:00: scheduled__2021-11-03T13:37:54.190276+00:00, externally 
triggered: True>: start_date is not set.
   [2021-11-03 14:52:39,743] {scheduler_job.py:644} ERROR - Exception when 
executing SchedulerJob._run_scheduler_loop
   Traceback (most recent call last):
     File 
"/home/airflow/.local/lib/python3.8/site-packages/airflow/jobs/scheduler_job.py",
 line 628, in _execute
       self._run_scheduler_loop()
     File 
"/home/airflow/.local/lib/python3.8/site-packages/airflow/jobs/scheduler_job.py",
 line 709, in _run_scheduler_loop
       num_queued_tis = self._do_scheduling(session)
     File 
"/home/airflow/.local/lib/python3.8/site-packages/airflow/jobs/scheduler_job.py",
 line 792, in _do_scheduling
       callback_to_run = self._schedule_dag_run(dag_run, session)
     File 
"/home/airflow/.local/lib/python3.8/site-packages/airflow/jobs/scheduler_job.py",
 line 1044, in _schedule_dag_run
       self._update_dag_next_dagruns(dag, dag_model, active_runs)
     File 
"/home/airflow/.local/lib/python3.8/site-packages/airflow/jobs/scheduler_job.py",
 line 935, in _update_dag_next_dagruns
       data_interval = dag.get_next_data_interval(dag_model)
     File 
"/home/airflow/.local/lib/python3.8/site-packages/airflow/models/dag.py", line 
629, in get_next_data_interval
       return self.infer_automated_data_interval(dag_model.next_dagrun)
     File 
"/home/airflow/.local/lib/python3.8/site-packages/airflow/models/dag.py", line 
669, in infer_automated_data_interval
       end = cast(DeltaDataIntervalTimetable, self.timetable)._get_next(start)
     File 
"/home/airflow/.local/lib/python3.8/site-packages/airflow/timetables/interval.py",
 line 278, in _get_next
       return convert_to_utc(current + self._delta)
   TypeError: unsupported operand type(s) for +: 'NoneType' and 
'datetime.timedelta'
   ```
   
   ### What you expected to happen
   
   1. DAG to continue running. 
   2. Scheduler should not fail.
   
   ### How to reproduce
   
   I am still finding a reproducible minimal setup.
   
   ### Anything else
   
   Every time this DAG is turned on.
   
   ### Are you willing to submit PR?
   
   - [ ] 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)
   


-- 
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.

To unsubscribe, e-mail: [email protected]

For queries about this service, please contact Infrastructure at:
[email protected]


Reply via email to