**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
"""
        If there are tasks left over in the executor,
        we set them back to SCHEDULED to avoid creating hanging tasks.
        :param session: session for ORM operations
        """
        if not self.executor.queued_tasks:
            return
        filter_for_ti_state_change = [
            and_(
                TI.dag_id == dag_id,
                TI.task_id == task_id,
                TI.execution_date == execution_date,
                
                
                TI._try_number == try_number - 1,  
                TI.state == State.QUEUED,
            )
            for dag_id, task_id, execution_date, try_number in self.executor.queued_tasks.keys()
        ]
        ti_query = session.query(TI).filter(or_(*filter_for_ti_state_change))
        tis_to_set_to_scheduled: List[TI] = with_row_locks(ti_query, session=session).all()
        if not tis_to_set_to_scheduled:
            return
        
        filter_for_tis = TI.filter_for_tis(tis_to_set_to_scheduled)
        session.query(TI).filter(filter_for_tis).update(
            {TI.state: State.SCHEDULED, TI.queued_dttm: None}, synchronize_session=False