### 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)

log.debug("no rows moved; dropping %s", target_table_name)
        
        target_table.drop(bind=session.get_bind(), checkfirst=True)
    else:
        log.debug("rows moved; purging from %s", source_table.name)
        if dialect_name == "sqlite":
            pk_cols = source_table.primary_key.columns
            delete = source_table.delete().where(
                tuple_(*pk_cols).in_(session.select(*target_table.primary_key.columns).subquery())
            )
        else:
            delete = source_table.delete().where(
                and_(col == target_table.c[col.name] for col in source_table.primary_key.columns)
            )
        log.debug(delete.compile())
        session.execute(delete)
    session.commit()
    log.debug("exiting move function")
def _dangling_against_dag_run(session, source_table, dag_run):
    """Given a source table, we generate a subquery that will return 1 for every row that has a dagrun."""
    source_to_dag_run_join_cond = and_(
        source_table.c.dag_id == dag_run.c.dag_id,
        source_table.c.execution_date == dag_run.c.execution_date,
    )
    return (
        select(*(c.label(c.name) for c in source_table.c))
        .join(dag_run, source_to_dag_run_join_cond, isouter=True)
        .where(dag_run.c.dag_id.is_(None))
    )
def _dangling_against_task_instance(session, source_table, dag_run, task_instance):