### 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)

self, dagbag: DagBag, callback_requests: list[CallbackRequest], session: Session = NEW_SESSION
    ) -> None:
        """
        Execute on failure callbacks.
        These objects can come from SchedulerJobRunner or from DagProcessorJobRunner.
        :param dagbag: Dag Bag of dags
        :param callback_requests: failure callbacks to execute
        :param session: DB session.
        """
        for request in callback_requests:
            self.log.debug("Processing Callback Request: %s", request)
            try:
                if isinstance(request, TaskCallbackRequest):
                    self._execute_task_callbacks(dagbag, request, session=session)
                elif isinstance(request, SlaCallbackRequest):
                    DagFileProcessor.manage_slas(dagbag.dag_folder, request.dag_id, session=session)
                elif isinstance(request, DagCallbackRequest):
                    self._execute_dag_callbacks(dagbag, request, session)
            except Exception:
                self.log.exception(
                    "Error executing %s callback for file: %s",
                    request.__class__.__name__,
                    request.full_filepath,
                )
        session.flush()
    def execute_callbacks_without_dag(