**Apache Airflow version**: 2.0.0


**Kubernetes version (if you are using kubernetes)** (use `kubectl version`):

**Environment**:

- **Cloud provider or hardware configuration**:
- **OS** (e.g. from /etc/os-release):
- **Kernel** (e.g. `uname -a`):
- **Install tools**:
- **Others**:

**What happened**:

I have the following DAG:

```py
from datetime import datetime, timedelta

from airflow import DAG
from airflow.operators.bash_operator import BashOperator

with DAG(
    dag_id="sla_trigger",
    schedule_interval="* * * * *",
    start_date=datetime(2020, 2, 3),
) as dag:
    BashOperator(
        task_id="bash_task",
        bash_command="sleep 30",
        sla=timedelta(seconds=2),
    )

```

And in my understanding this dag should result in SLA miss every time it is triggered (every minute). However, after few minutes of running I don't see any SLA misses...

**What you expected to happen**:

I expect to see SLA if task takes longer than expected.

**How to reproduce it**:

Use the dag from above.

**Anything else we need to know**:

N/A

airflow/jobs/scheduler_job.py
self.log.debug("Calling SchedulerJob.adopt_or_reset_orphaned_tasks method")
                try:
                    num_failed = (
                        session.query(SchedulerJob)
                        .filter(
                            SchedulerJob.state == State.RUNNING,
                            SchedulerJob.latest_heartbeat < (timezone.utcnow() - timedelta(seconds=timeout)),
                        )
                        .update({"state": State.FAILED})
                    )
                    if num_failed:
                        self.log.info("Marked %d SchedulerJob instances as failed", num_failed)
                        Stats.incr(self.__class__.__name__.lower() + '_end', num_failed)
                    resettable_states = [State.SCHEDULED, State.QUEUED, State.RUNNING]
                    query = (
                        session.query(TI)
                        .filter(TI.state.in_(resettable_states))
                        
                        
                        
                        
                        .outerjoin(TI.queued_by_job)
                        .filter(or_(TI.queued_by_job_id.is_(None), SchedulerJob.state != State.RUNNING))
                        .join(TI.dag_run)
                        .filter(
                            DagRun.run_type != DagRunType.BACKFILL_JOB,
                            
                            DagRun.state == State.RUNNING,
                        )
                        .options(load_only(TI.dag_id, TI.task_id, TI.execution_date))