**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
"""
        Test that the scheduler can successfully queue multiple dags in parallel
        """
        dag_ids = ['test_start_date_scheduling', 'test_dagrun_states_success']
        for dag_id in dag_ids:
            dag = self.dagbag.get_dag(dag_id)
            dag.clear()
        scheduler = SchedulerJob(
            executor=self.null_exec,
            subdir=os.path.join(TEST_DAG_FOLDER, 'test_scheduler_dags.py'),
            num_runs=1,
        )
        scheduler.run()
        
        dag_id = 'test_start_date_scheduling'
        session = settings.Session()
        assert len(session.query(TaskInstance).filter(TaskInstance.dag_id == dag_id).all()) == 0
    @conf_vars({("core", "mp_start_method"): "spawn"})
    def test_scheduler_multiprocessing_with_spawn_method(self):