### 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)

return None
def get_sqla_model_classes():
    """
    Get all SQLAlchemy class mappers.
    SQLAlchemy < 1.4 does not support registry.mappers so we use
    try/except to handle it.
    """
    from airflow.models.base import Base
    try:
        return [mapper.class_ for mapper in Base.registry.mappers]
    except AttributeError:
        return Base._decl_class_registry.values()
def get_query_count(query_stmt: Select, *, session: Session) -> int:
    """Get count of query.
    A SELECT COUNT() FROM is issued against the subquery built from the
    given statement. The ORDER BY clause is stripped from the statement
    since it's unnecessary for COUNT, and can impact query planning and
    degrade performance.
    :meta private:
    """
    count_stmt = select(func.count()).select_from(query_stmt.order_by(None).subquery())
    return session.scalar(count_stmt)
def exists_query(*where: ClauseElement, session: Session) -> bool:
    """Check whether there is at least one row matching given clause.
    This does a SELECT 1 WHERE ... LIMIT 1 and check the result.
    :meta private:
    """
    stmt = select(literal(True)).where(*where).limit(1)
    return session.scalar(stmt) is not None