### 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 = script.get_current_head()
        if to_revision == from_revision:
            print_happy_cat("No migrations to apply; nothing to do.")
            return
        if not _revision_greater(config, to_revision, from_revision):
            raise ValueError(
                f"Requested *to* revision {to_revision} is older than *from* revision {from_revision}. "
                "Please check your requested versions / revisions."
            )
        _revisions_above_min_for_offline(config=config, revisions=[from_revision, to_revision])
        _offline_migration(command.upgrade, config, f"{from_revision}:{to_revision}")
        return  
    errors_seen = False
    for err in _check_migration_errors(session=session):
        if not errors_seen:
            log.error("Automatic migration is not available")
            errors_seen = True
        log.error("%s", err)
    if errors_seen:
        exit(1)
    if not to_revision and not _get_current_revision(session=session):
        
        
        initdb(session=session, load_connections=False)
        return
    with create_global_lock(session=session, lock=DBLocks.MIGRATIONS):
        import sqlalchemy.pool
        log.info("Creating tables")
        val = os.environ.get("AIRFLOW__DATABASE__SQL_ALCHEMY_MAX_SIZE")
        try: