### 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)

context, inspected_column, metadata_column, inspected_default, metadata_default, rendered_metadata_default
):
    """
    Compare server defaults between ORM and DB .
    return True if the defaults are different, False if not, or None to allow the default implementation
    to compare these defaults
    Comparing server_default is not accurate in MSSQL because the
    inspected_default above != metadata_default, while in Postgres/MySQL they are equal.
    This is an issue with alembic
    In SQLite: task_instance.map_index & task_reschedule.map_index
    are not comparing accurately. Sometimes they are equal, sometimes they are not.
    Alembic warned that this feature has varied accuracy depending on backends.
    See: (https://alembic.sqlalchemy.org/en/latest/api/runtime.html#alembic.runtime.
        environment.EnvironmentContext.configure.params.compare_server_default)
    """
    dialect_name = context.connection.dialect.name
    if dialect_name in ["mssql", "sqlite"]:
        return False
    if (
        dialect_name == "mysql"
        and metadata_column.name == "pool_slots"
        and metadata_column.table.name == "task_instance"
    ):
        
        
        
        
        
        return False