### 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)

os.environ["AIRFLOW__DATABASE__SQL_ALCHEMY_MAX_SIZE"] = "1"
            settings.reconfigure_orm(pool_class=sqlalchemy.pool.SingletonThreadPool)
            command.upgrade(config, revision=to_revision or "heads")
        finally:
            if val is None:
                os.environ.pop("AIRFLOW__DATABASE__SQL_ALCHEMY_MAX_SIZE")
            else:
                os.environ["AIRFLOW__DATABASE__SQL_ALCHEMY_MAX_SIZE"] = val
            settings.reconfigure_orm()
    if reserialize_dags:
        _reserialize_dags(session=session)
    add_default_pool_if_not_exists(session=session)
    synchronize_log_template(session=session)
@provide_session
def resetdb(session: Session = NEW_SESSION, skip_init: bool = False):
    """Clear out the database."""
    if not settings.engine:
        raise RuntimeError("The settings.engine must be set. This is a critical assertion")
    log.info("Dropping tables that exist")
    import_all_models()
    connection = settings.engine.connect()
    with create_global_lock(session=session, lock=DBLocks.MIGRATIONS), connection.begin():
        drop_airflow_models(connection)
        drop_airflow_moved_tables(connection)
    if not skip_init:
        initdb(session=session)
@provide_session
def bootstrap_dagbag(session: Session = NEW_SESSION):