**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,
)
```
tests/jobs/test_scheduler_job.py
dag = DAG(dag_id='dag_id', start_date=DEFAULT_DATE)
        task = DummyOperator(task_id='task_id', dag=dag, owner='airflow')
        dag = SerializedDAG.from_dict(SerializedDAG.to_dict(dag))
        
        session = settings.Session()
        scheduler_job = SchedulerJob(subdir=os.devnull)
        mock_logger = mock.MagicMock()
        test_executor = MockExecutor(do_update=False)
        scheduler_job.executor = test_executor
        scheduler_job._logger = mock_logger
        scheduler_job._change_state_for_tasks_failed_to_execute()  
        mock_logger.info.assert_not_called()
        
        session.query(TaskInstance).delete()
        session.commit()
        key = 'dag_id', 'task_id', DEFAULT_DATE, 1
        test_executor.queued_tasks[key] = 'value'
        ti = TaskInstance(task, DEFAULT_DATE)
        ti.state = State.QUEUED
        session.merge(ti)