### Description

The current length limit for the `login` parameter in an HTTP connection is 500 characters. It'd be nice if this was 5000 characters like the `password` parameter.

### Use case/motivation

We've run into an issue with an API we need to integrate with. It uses basic HTTP authentication, and both username and password are about 900 characters long each. We don't have any control over this API, so we cannot change the authentication method, nor the length of these usernames and passwords.

### Related issues

_No response_

### Are you willing to submit a 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)

source_query=query,
        target_table_name=target_table_name,
        source_table_name=source_table.name,
    )
    
    session.commit()
    metadata = reflect_tables([target_table_name], session)
    target_table = metadata.tables[target_table_name]
    where_clause = and_(*(source_table.c[x] == target_table.c[x] for x in uniqueness))
    if dialect_name == "sqlite":
        subq = query.selectable.with_only_columns([text(f"{source_table}.ROWID")])
        delete = source_table.delete().where(column("ROWID").in_(subq))
    else:
        delete = source_table.delete(where_clause)
    session.execute(delete)
def check_bad_references(session: Session) -> Iterable[str]:
    """
    Go through each table and look for records that can't be mapped to a dag run.
    When we find such "dangling" rows we back them up in a special table and delete them
    from the main table.
    Starting in Airflow 2.2, we began a process of replacing `execution_date` with `run_id` in many tables.
    """
    from airflow.models.dagrun import DagRun
    from airflow.models.renderedtifields import RenderedTaskInstanceFields
    from airflow.models.taskfail import TaskFail
    from airflow.models.taskinstance import TaskInstance
    from airflow.models.taskreschedule import TaskReschedule
    from airflow.models.xcom import XCom
    @dataclass
    class BadReferenceConfig: