### 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)

*,
    to_revision: str | None = None,
    from_revision: str | None = None,
    show_sql_only: bool = False,
    reserialize_dags: bool = True,
    session: Session = NEW_SESSION,
):
    """
    Upgrades the DB.
    :param to_revision: Optional Alembic revision ID to upgrade *to*.
        If omitted, upgrades to latest revision.
    :param from_revision: Optional Alembic revision ID to upgrade *from*.
        Not compatible with ``sql_only=False``.
    :param show_sql_only: if True, migration statements will be printed but not executed.
    :param session: sqlalchemy session with connection to Airflow metadata database
    :return: None
    """
    if from_revision and not show_sql_only:
        raise AirflowException("`from_revision` only supported with `sql_only=True`.")
    
    if not settings.SQL_ALCHEMY_CONN:
        raise RuntimeError("The settings.SQL_ALCHEMY_CONN not set. This is a critical assertion.")
    from alembic import command
    import_all_models()
    config = _get_alembic_config()
    if show_sql_only:
        if not from_revision:
            from_revision = _get_current_revision(session)
        if not to_revision:
            script = _get_script_object()