### 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)

minimal_table_obj = table(table_name, *(column(x) for x in uniqueness))
    try:
        subquery = session.execute(
            select(minimal_table_obj, func.count().label("dupe_count"))
            .group_by(*(text(x) for x in uniqueness))
            .having(func.count() > text("1"))
            .subquery()
        )
        dupe_count = session.scalar(select(func.sum(subquery.c.dupe_count)))
        if not dupe_count:
            
            return
        log.warning("Found %s duplicates in table %s.  Will attempt to move them.", dupe_count, table_name)
        metadata = reflect_tables(tables=[table_name], session=session)
        if table_name not in metadata.tables:
            yield f"Table {table_name} does not exist in the database."
        
        
        table_obj = metadata.tables[table_name]
        _move_duplicate_data_to_new_table(
            session=session,
            source_table=table_obj,
            subquery=subquery,
            uniqueness=uniqueness,
            target_table_name=_format_airflow_moved_table_name(table_name, version, "duplicates"),
        )
    except (exc.OperationalError, exc.ProgrammingError):
        
        session.rollback()
def check_conn_type_null(session: Session) -> Iterable[str]: