**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,
)
```
airflow/jobs/scheduler_job.py
#
            
            
            
            
            
            active_runs_by_dag_id = defaultdict(set)
            query = (
                session.query(
                    TI.dag_id,
                    TI.execution_date,
                )
                .filter(
                    TI.dag_id.in_(list({dag_run.dag_id for dag_run in dag_runs})),
                    TI.state.notin_(list(State.finished) + [State.REMOVED]),
                )
                .group_by(TI.dag_id, TI.execution_date)
            )
            for dag_id, execution_date in query:
                active_runs_by_dag_id[dag_id].add(execution_date)
            for dag_run in dag_runs:
                
                
                
                
                
                
                try:
                    self._schedule_dag_run(dag_run, active_runs_by_dag_id.get(dag_run.dag_id, set()), session)
                except SerializedDagNotFound: