**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
assert tis[dummy2.task_id].state == State.SUCCESS
        
        assert tis[dummy3.task_id].state == State.SKIPPED
class TestSchedulerJobQueriesCount(unittest.TestCase):
    """
    These tests are designed to detect changes in the number of queries for
    different DAG files. These tests allow easy detection when a change is
    made that affects the performance of the SchedulerJob.
    """
    def setUp(self) -> None:
        clear_db_runs()
        clear_db_pools()
        clear_db_dags()
        clear_db_sla_miss()
        clear_db_import_errors()
        clear_db_serialized_dags()
        clear_db_dags()
    @parameterized.expand(
        [
            
            
            (23, 1, 1),  
            
            (23, 1, 5),  
            
            (95, 10, 10),  
        ]
    )
    @pytest.mark.quarantined
    def test_execute_queries_count_with_harvested_dags(self, expected_query_count, dag_count, task_count):