### Apache Airflow version

main (development)

### What happened

When dag processor starts with a sub directory to process then the import errors are recorded with that path. So when there is processor for airflow-dag-processor-0 folder in order to remove import errors it lists all files under airflow-dag-processor-0 folder and deletes those not present. This becomes an issue when there is airflow-dag-processor-1 that records import errors whose files won't be part of airflow-dag-processor-0 folder. 

### What you think should happen instead

The fix would be to have processor_subdir stored in ImportError table so that during querying we only look at import errors relevant to the dag processor and don't delete other items. A fix similar to https://github.com/apache/airflow/pull/33357 needs to be applied for import errors as well.

### How to reproduce

1. create a dag file with import error at `~/airflow/dags/airflow-dag-processor-0/sample_sleep.py` . Start a dag processor with -S to process "~/airflow/dags/airflow-dag-processor-0/" . Import error should be present.
2. create a dag file with import error at `~/airflow/dags/airflow-dag-processor-1/sample_sleep.py` . Start a dag processor with -S to process "~/airflow/dags/airflow-dag-processor-1/". Import error for airflow-dag-processor-0 is deleted.
3. 

```python
from datetime import datetime, timedelta

from airflow import DAG
from airflow.decorators import task

from datetime import timedelta, invalid


with DAG(
    dag_id="task_duration",
    start_date=datetime(2023, 1, 1),
    catchup=True,
    schedule_interval="@daily",
) as dag:

    @task
    def sleeper():
        pass

    sleeper()
```

### Operating System

Ubuntu

### Versions of Apache Airflow Providers

_No response_

### Deployment

Virtualenv installation

### Deployment details

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [X] 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)

)
            sla_misses = []
            next_info = dag.next_dagrun_info(dag.get_run_data_interval(ti.dag_run), restricted=False)
            while next_info and next_info.logical_date < ts:
                next_info = dag.next_dagrun_info(next_info.data_interval, restricted=False)
                if next_info is None:
                    break
                if (ti.dag_id, ti.task_id, next_info.logical_date) in recorded_slas_query:
                    continue
                if next_info.logical_date + task.sla < ts:
                    sla_miss = SlaMiss(
                        task_id=ti.task_id,
                        dag_id=ti.dag_id,
                        execution_date=next_info.logical_date,
                        timestamp=ts,
                    )
                    sla_misses.append(sla_miss)
                    Stats.incr("sla_missed", tags={"dag_id": ti.dag_id, "task_id": ti.task_id})
            if sla_misses:
                session.add_all(sla_misses)
        session.commit()
        slas: list[SlaMiss] = session.scalars(
            select(SlaMiss).where(~SlaMiss.notification_sent, SlaMiss.dag_id == dag.dag_id)
        ).all()
        if slas:
            sla_dates: list[datetime] = [sla.execution_date for sla in slas]
            fetched_tis: list[TI] = session.scalars(
                select(TI).where(
                    TI.dag_id == dag.dag_id,
                    TI.execution_date.in_(sla_dates),