### Apache Airflow version

2.2.0

### Operating System

Linux

### Versions of Apache Airflow Providers

default.

### Deployment

Docker-Compose

### Deployment details

Using airflow-2.2.0python3.7

### What happened

Upgrading image from apache/airflow:2.1.4-python3.7
to apache/airflow:2.2.0-python3.7
Cause this inside scheduler, which is not starting:

```
Python version: 3.7.12
Airflow version: 2.2.0
Node: 6dd55b0a5dd7
-------------------------------------------------------------------------------
Traceback (most recent call last):
  File "/home/airflow/.local/lib/python3.7/site-packages/sqlalchemy/engine/base.py", line 1277, in _execute_context
    cursor, statement, parameters, context
  File "/home/airflow/.local/lib/python3.7/site-packages/sqlalchemy/engine/default.py", line 608, in do_execute
    cursor.execute(statement, parameters)
psycopg2.errors.UndefinedColumn: column dag.max_active_tasks does not exist
LINE 1: ..., dag.schedule_interval AS dag_schedule_interval, dag.max_ac...
                                                             ^

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "/home/airflow/.local/lib/python3.7/site-packages/flask/app.py", line 2447, in wsgi_app
    response = self.full_dispatch_request()
  File "/home/airflow/.local/lib/python3.7/site-packages/flask/app.py", line 1952, in full_dispatch_request
    rv = self.handle_user_exception(e)
  File "/home/airflow/.local/lib/python3.7/site-packages/flask/app.py", line 1821, in handle_user_exception
    reraise(exc_type, exc_value, tb)
  File "/home/airflow/.local/lib/python3.7/site-packages/flask/_compat.py", line 39, in reraise
    raise value
  File "/home/airflow/.local/lib/python3.7/site-packages/flask/app.py", line 1950, in full_dispatch_request
    rv = self.dispatch_request()
  File "/home/airflow/.local/lib/python3.7/site-packages/flask/app.py", line 1936, in dispatch_request
    return self.view_functions[rule.endpoint](**req.view_args)
  File "/home/airflow/.local/lib/python3.7/site-packages/airflow/www/auth.py", line 51, in decorated
    return func(*args, **kwargs)
  File "/home/airflow/.local/lib/python3.7/site-packages/airflow/www/views.py", line 588, in index
    filter_dag_ids = current_app.appbuilder.sm.get_accessible_dag_ids(g.user)
  File "/home/airflow/.local/lib/python3.7/site-packages/airflow/www/security.py", line 377, in get_accessible_dag_ids
    return {dag.dag_id for dag in accessible_dags}
  File "/home/airflow/.local/lib/python3.7/site-packages/sqlalchemy/orm/query.py", line 3535, in __iter__
    return self._execute_and_instances(context)
  File "/home/airflow/.local/lib/python3.7/site-packages/sqlalchemy/orm/query.py", line 3560, in _execute_and_instances
    result = conn.execute(querycontext.statement, self._params)
  File "/home/airflow/.local/lib/python3.7/site-packages/sqlalchemy/engine/base.py", line 1011, in execute
    return meth(self, multiparams, params)
  File "/home/airflow/.local/lib/python3.7/site-packages/sqlalchemy/sql/elements.py", line 298, in _execute_on_connection
    return connection._execute_clauseelement(self, multiparams, params)
  File "/home/airflow/.local/lib/python3.7/site-packages/sqlalchemy/engine/base.py", line 1130, in _execute_clauseelement
    distilled_params,
  File "/home/airflow/.local/lib/python3.7/site-packages/sqlalchemy/engine/base.py", line 1317, in _execute_context
    e, statement, parameters, cursor, context
  File "/home/airflow/.local/lib/python3.7/site-packages/sqlalchemy/engine/base.py", line 1511, in _handle_dbapi_exception
    sqlalchemy_exception, with_traceback=exc_info[2], from_=e
  File "/home/airflow/.local/lib/python3.7/site-packages/sqlalchemy/util/compat.py", line 182, in raise_
    raise exception
  File "/home/airflow/.local/lib/python3.7/site-packages/sqlalchemy/engine/base.py", line 1277, in _execute_context
    cursor, statement, parameters, context
  File "/home/airflow/.local/lib/python3.7/site-packages/sqlalchemy/engine/default.py", line 608, in do_execute
    cursor.execute(statement, parameters)
sqlalchemy.exc.ProgrammingError: (psycopg2.errors.UndefinedColumn) column dag.max_active_tasks does not exist
LINE 1: ..., dag.schedule_interval AS dag_schedule_interval, dag.max_ac...
                                                             ^

[SQL: SELECT dag.dag_id AS dag_dag_id, dag.root_dag_id AS dag_root_dag_id, dag.is_paused AS dag_is_paused, dag.is_subdag AS dag_is_subdag, dag.is_active AS dag_is_active, dag.last_parsed_time AS dag_last_parsed_time, dag.last_pickled AS dag_last_pickled, dag.last_expired AS dag_last_expired, dag.scheduler_lock AS dag_scheduler_lock, dag.pickle_id AS dag_pickle_id, dag.fileloc AS dag_fileloc, dag.owners AS dag_owners, dag.description AS dag_description, dag.default_view AS dag_default_view, dag.schedule_interval AS dag_schedule_interval, dag.max_active_tasks AS dag_max_active_tasks, dag.max_active_runs AS dag_max_active_runs, dag.has_task_concurrency_limits AS dag_has_task_concurrency_limits, dag.next_dagrun AS dag_next_dagrun, dag.next_dagrun_data_interval_start AS dag_next_dagrun_data_interval_start, dag.next_dagrun_data_interval_end AS dag_next_dagrun_data_interval_end, dag.next_dagrun_create_after AS dag_next_dagrun_create_after 
FROM dag]
(Background on this error at: http://sqlalche.me/e/13/f405)
```

### What you expected to happen

Automatic database migration and properly working scheduler.

### How to reproduce

Ugrade from 2.1.4 to 2.2.0 with some dags history.

### 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)

airflow/www/views.py
dag = dag.partial_subset(task_ids_or_regex=root, include_downstream=False, include_upstream=True)
        num_runs = request.args.get('num_runs', type=int)
        if num_runs is None:
            num_runs = conf.getint('webserver', 'default_dag_run_display_number')
        try:
            base_date = timezone.parse(request.args["base_date"])
        except (KeyError, ValueError):
            base_date = dag.get_latest_execution_date() or timezone.utcnow()
        with create_session() as session:
            dag_runs = (
                session.query(DagRun)
                .filter(DagRun.dag_id == dag.dag_id, DagRun.execution_date <= base_date)
                .order_by(DagRun.execution_date.desc())
                .limit(num_runs)
                .all()
            )
            dag_runs = {dr.execution_date: alchemy_to_dict(dr) for dr in dag_runs}
            tree_data = self._get_tree_data(dag_runs, dag, base_date, session=session)
        
        return htmlsafe_json_dumps(tree_data, separators=(',', ':'))
    @expose('/robots.txt')
    @action_logging
    def robots(self):
        """
        Returns a robots.txt file for blocking certain search engine crawlers. This mitigates some
        of the risk associated with exposing Airflow to the public internet, however it does not
        address the real security risks associated with such a deployment.
        """
        return send_from_directory(current_app.static_folder, 'robots.txt')
class ConfigurationView(AirflowBaseView):