**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
else:
                assert start_date is None
                assert end_date is None
                assert duration is None
@pytest.mark.usefixtures("disable_load_example")
class TestSchedulerJob(unittest.TestCase):
    def setUp(self):
        clear_db_runs()
        clear_db_pools()
        clear_db_dags()
        clear_db_sla_miss()
        clear_db_import_errors()
        
        
        self.null_exec = MockExecutor()
        self.patcher = patch('airflow.utils.dag_processing.SerializedDagModel.remove_deleted_dags')
        
        self.patcher_dag_code = patch.object(settings, "STORE_DAG_CODE", False)
        self.patcher.start()
        self.patcher_dag_code.start()
    def tearDown(self):
        self.patcher.stop()
        self.patcher_dag_code.stop()
    @classmethod
    def setUpClass(cls):
        
        non_serialized_dagbag = DagBag(read_dags_from_db=False, include_examples=False)
        non_serialized_dagbag.sync_to_db()
        cls.dagbag = DagBag(read_dags_from_db=True)
    def test_is_alive(self):