AnastasiyaIvanovaNovade opened a new issue #19368:
URL: https://github.com/apache/airflow/issues/19368
### Apache Airflow version
2.2.1 (latest released)
### Operating System
Linux (ubuntu 20.04)
### Versions of Apache Airflow Providers
```
apache-airflow-providers-ftp==2.0.1
apache-airflow-providers-http==2.0.1
apache-airflow-providers-imap==2.0.1
apache-airflow-providers-microsoft-azure==3.1.0
apache-airflow-providers-microsoft-mssql==2.0.0
apache-airflow-providers-postgres==2.0.0
apache-airflow-providers-salesforce==3.1.0
apache-airflow-providers-sqlite==2.0.1
apache-airflow-providers-ssh==2.1.0
```
### Deployment
Other
### Deployment details
Airflow installed on Azure virtual machine (Standard D8s v3 (8 vcpus, 32 GiB
memory)), the VM is dedicated for Airflow only
### What happened
After I updated Airflow from 2.1.3 to 2.2.1 and run db update, I run
`airflow scheduler` and got an error:
`[2021-11-02 11:43:20,846] {scheduler_job.py:644} ERROR - Exception when
executing SchedulerJob._run_scheduler_loop
Traceback (most recent call last):
File
"/home/DataPipeline/.local/lib/python3.8/site-packages/airflow/jobs/scheduler_job.py",
line 628, in _execute
self._run_scheduler_loop()
File
"/home/DataPipeline/.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/DataPipeline/.local/lib/python3.8/site-packages/airflow/jobs/scheduler_job.py",
line 782, in _do_scheduling
self._create_dagruns_for_dags(guard, session)
File
"/home/DataPipeline/.local/lib/python3.8/site-packages/airflow/utils/retries.py",
line 76, in wrapped_function
for attempt in run_with_db_retries(max_retries=retries, logger=logger,
**retry_kwargs):
File
"/home/DataPipeline/.local/lib/python3.8/site-packages/tenacity/__init__.py",
line 382, in __iter__
do = self.iter(retry_state=retry_state)
File
"/home/DataPipeline/.local/lib/python3.8/site-packages/tenacity/__init__.py",
line 349, in iter
return fut.result()
File "/usr/lib/python3.8/concurrent/futures/_base.py", line 437, in result
return self.__get_result()
File "/usr/lib/python3.8/concurrent/futures/_base.py", line 389, in
__get_result
raise self._exception
File
"/home/DataPipeline/.local/lib/python3.8/site-packages/airflow/utils/retries.py",
line 85, in wrapped_function
return func(*args, **kwargs)
File
"/home/DataPipeline/.local/lib/python3.8/site-packages/airflow/jobs/scheduler_job.py",
line 847, in _create_dagruns_for_dags
self._create_dag_runs(query.all(), session)
File
"/home/DataPipeline/.local/lib/python3.8/site-packages/airflow/jobs/scheduler_job.py",
line 917, in _create_dag_runs
self._update_dag_next_dagruns(dag, dag_model,
active_runs_of_dags[dag.dag_id])
File
"/home/DataPipeline/.local/lib/python3.8/site-packages/airflow/jobs/scheduler_job.py",
line 926, in _update_dag_next_dagruns
if total_active_runs >= dag_model.max_active_runs:
TypeError: '>=' not supported between instances of 'int' and 'NoneType'`
The scheduler is not able to run.
### What you expected to happen
This behaviour happens right after the update. I have another VM with
Airflow (the two machines are similar, the difference in location of the VM).
### How to reproduce
after the update to 2.2.1, change the config in accordance with Warnings and
run `airflow scheduler`
### Anything else
_No response_
### 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)
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