### 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)

select(TI.task_id, func.max(DR.execution_date).label("max_ti"))
            .join(TI.dag_run)
            .where(TI.dag_id == dag.dag_id)
            .where(or_(TI.state == TaskInstanceState.SUCCESS, TI.state == TaskInstanceState.SKIPPED))
            .where(TI.task_id.in_(dag.task_ids))
            .group_by(TI.task_id)
            .subquery("sq")
        )
        
        recorded_slas_query = set(
            session.execute(
                select(SlaMiss.dag_id, SlaMiss.task_id, SlaMiss.execution_date).where(
                    SlaMiss.dag_id == dag.dag_id, SlaMiss.task_id.in_(dag.task_ids)
                )
            )
        )
        max_tis: Iterator[TI] = session.scalars(
            select(TI)
            .join(TI.dag_run)
            .where(TI.dag_id == dag.dag_id, TI.task_id == qry.c.task_id, DR.execution_date == qry.c.max_ti)
        )
        ts = timezone.utcnow()
        for ti in max_tis:
            task = dag.get_task(ti.task_id)
            if not task.sla:
                continue
            if not isinstance(task.sla, timedelta):
                raise TypeError(
                    f"SLA is expected to be timedelta object, got "
                    f"{type(task.sla)} in {task.dag_id}:{task.task_id}"