### Apache Airflow version

2.5.0

### What happened

Very simple dag:

```python3
from airflow import DAG
from airflow.operators.bash import BashOperator
from datetime import datetime, timedelta

with DAG(dag_id="hello_world", schedule=timedelta(days=30 * 365), start_date=datetime(1970, 1, 1)) as dag:
    (
        BashOperator(task_id="hello", bash_command="echo hello")
        >> BashOperator(task_id="world", bash_command="echo world")
    )
```

Run it like `airflow dags test hello_world $(date +%Y-%m-%d)`

End of output:
```
[2022-12-04 21:24:02,993] {dagrun.py:606} INFO - Marking run <DagRun hello_world @ 2022-12-04T00:00:00+00:00: manual__2022-12-04T00:00:00+00:00, state:running, queued_at: None. externally triggered: False> successful
[2022-12-04 21:24:03,003] {dagrun.py:657} INFO - DagRun Finished: dag_id=hello_world, execution_date=2022-12-04T00:00:00+00:00, run_id=manual__2022-12-04T00:00:00+00:00, run_start_date=2022-12-04T00:00:00+00:00, run_end_date=2022-12-05 04:24:02.995279+00:00, run_duration=102242.995279, state=success, external_trigger=False, run_type=manual, data_interval_start=2022-12-04T00:00:00+00:00, data_interval_end=2052-11-26T00:00:00+00:00, dag_hash=None
[2022-12-04 21:24:03,004] {dagrun.py:878} WARNING - Failed to record first_task_scheduling_delay metric:
Traceback (most recent call last):
  File "/home/matt/2022/12/04/venv/lib/python3.9/site-packages/airflow/models/dagrun.py", line 866, in _emit_true_scheduling_delay_stats_for_finished_state
    first_start_date = ordered_tis_by_start_date[0].start_date
IndexError: list index out of range
```

### What you think should happen instead

No warning (or, an explanation of what I can do address whatever it's warning about).

### How to reproduce

_No response_

### Operating System

NixOS 22.11 (gnu/linux)

### Versions of Apache Airflow Providers

n/a

### Deployment

Virtualenv installation

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [ ] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

session.query(cls)
            .with_hint(cls, "USE INDEX (idx_dag_run_running_dags)", dialect_name="mysql")
            .filter(cls.state == state, cls.run_type != DagRunType.BACKFILL_JOB)
            .join(DagModel, DagModel.dag_id == cls.dag_id)
            .filter(DagModel.is_paused == false(), DagModel.is_active == true())
        )
        if state == State.QUEUED:
            
            
            running_drs = (
                session.query(DagRun.dag_id, func.count(DagRun.state).label("num_running"))
                .filter(DagRun.state == DagRunState.RUNNING)
                .group_by(DagRun.dag_id)
                .subquery()
            )
            query = query.outerjoin(running_drs, running_drs.c.dag_id == DagRun.dag_id).filter(
                func.coalesce(running_drs.c.num_running, 0) < DagModel.max_active_runs
            )
        query = query.order_by(
            nulls_first(cls.last_scheduling_decision, session=session),
            cls.execution_date,
        )
        if not settings.ALLOW_FUTURE_EXEC_DATES:
            query = query.filter(DagRun.execution_date <= func.now())
        return with_row_locks(
            query.limit(max_number), of=cls, session=session, **skip_locked(session=session)
        )
    @classmethod
    @provide_session
    def find(