**Apache Airflow version**:

1.10.12

**What happened**:

I created dag with dagrun_timeout=2 minutes. 

After 2 minutes dagrun is marked as failed and the next one is started, but task keeps going.

**What you expected to happen**:

Task is killed with dag run as it is done when you mark dagrun failed manually.

**How to reproduce it**:
```
dag = DAG(dag_id='platform.airflow-test',
          description='',
          schedule_interval="0 0 * * *",
          start_date=datetime(2020, 7, 1),
          max_active_runs=1,
          catchup=True,
          dagrun_timeout=timedelta(minutes=2))

run_this = BashOperator(
    task_id='run_after_loop',
    bash_command=' for((i=1;i<=600;i+=1)); do echo "Welcome $i times"; sleep 1;  done',
    dag=dag,
)
```
airflow/jobs/scheduler_job.py
"Exiting scheduler loop as requested DAG parse count (%d) has been reached after %d"
                    " scheduler loops",
                    self.num_times_parse_dags,
                    loop_count,
                )
                break
    @provide_session
    def _clean_tis_without_dagrun(self, session):
        with prohibit_commit(session) as guard:
            try:
                self._change_state_for_tis_without_dagrun(
                    old_states=[State.UP_FOR_RETRY], new_state=State.FAILED, session=session
                )
                self._change_state_for_tis_without_dagrun(
                    old_states=[State.QUEUED, State.SCHEDULED, State.UP_FOR_RESCHEDULE, State.SENSING],
                    new_state=State.NONE,
                    session=session,
                )
                guard.commit()
            except OperationalError as e:
                if is_lock_not_available_error(error=e):
                    self.log.debug("Lock held by another Scheduler")
                    session.rollback()
                else:
                    raise
            guard.commit()
    def _do_scheduling(self, session) -> int:
        """
        This function is where the main scheduling decisions take places. It:
        - Creates any necessary DAG runs by examining the next_dagrun_create_after column of DagModel