**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
task1 >> task2
            task3 = BashOperator(task_id='dummy3', bash_command='true')
        session = settings.Session()
        dagbag = DagBag(
            dag_folder=os.path.join(settings.DAGS_FOLDER, "no_dags.py"),
            include_examples=False,
            read_dags_from_db=True,
        )
        dagbag.bag_dag(dag=dag, root_dag=dag)
        dagbag.sync_to_db(session=session)
        dag_run = dag.create_dagrun(
            run_type=DagRunType.SCHEDULED,
            execution_date=DEFAULT_DATE,
            state=State.RUNNING,
            session=session,
        )
        dag.sync_to_db(session=session)  
        job = SchedulerJob(subdir=os.devnull)
        job.executor = MockExecutor(do_update=False)
        job.processor_agent = mock.MagicMock(spec=DagFileProcessorAgent)
        num_queued = job._do_scheduling(session)
        
        
        session.add(dag_run)
        session.refresh(dag_run)
        assert num_queued == 2
        assert dag_run.state == State.RUNNING
        ti1 = dag_run.get_task_instance(task1.task_id, session)
        assert ti1.state == State.QUEUED