### Apache Airflow version

Other Airflow 2 version

### What happened

Hi All,

When I run the below command in Airflow 2.3.4:

`airflow db clean --clean-before-timestamp '2022-09-18T00:00:00+05:30' --yes`

I receive an error within a warning which says

`[2022-09-20 10:33:30,971] {db_cleanup.py:302} WARNING - Encountered error when attempting to clean table 'rendered_task_instance_fields'.`

All other tables like `log`, `dag`, `xcom` get deleted properly. On my analysis, `rendered_task_instance_fields` was the 5th largest table by rows in the DB, so the impact of it's data size is significant.

On analyzing the table itself on PostGres 13 DB, I found that the table `rendered_task_instance_fields` has no timestamp column that records when the entry was inserted.

https://imgur.com/a/Qys2uwD

Thus, there would be no way the code can filter out older records and delete them.

### What you think should happen instead

A timestamp field needs to be added to the table `rendered_task_instance_fields` basis of which older records can be deleted.

### How to reproduce

Run the below command in airflow v2.3.4 and check the output.

`airflow db clean --clean-before-timestamp '2022-09-18T00:00:00+05:30' --yes`

### Operating System

Ubuntu 20.04 LTS

### Versions of Apache Airflow Providers

apache-airflow-providers-amazon==5.1.0
apache-airflow-providers-celery==3.0.0
apache-airflow-providers-common-sql==1.2.0
apache-airflow-providers-ftp==3.1.0
apache-airflow-providers-google==8.3.0
apache-airflow-providers-http==4.0.0
apache-airflow-providers-imap==3.0.0
apache-airflow-providers-mongo==3.0.0
apache-airflow-providers-mysql==3.2.0
apache-airflow-providers-slack==5.1.0
apache-airflow-providers-sqlite==3.2.1

### 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)

for_tables = f" for tables {tables!r}" if tables else ""
    question = (
        f"You have requested that we purge all data prior to {date}{for_tables}.\n"
        f"This is irreversible.  Consider backing up the tables first and / or doing a dry run "
        f"with option --dry-run.\n"
        f"Enter 'delete rows' (without quotes) to proceed."
    )
    print(question)
    answer = input().strip()
    if not answer == "delete rows":
        raise SystemExit("User did not confirm; exiting.")
def _print_config(*, configs: dict[str, _TableConfig]):
    data = [x.readable_config for x in configs.values()]
    AirflowConsole().print_as_table(data=data)
@contextmanager
def _suppress_with_logging(table, session):
    """
    Suppresses errors but logs them.
    Also stores the exception instance so it can be referred to after exiting context.
    """
    try:
        yield
    except (OperationalError, ProgrammingError):
        logger.warning("Encountered error when attempting to clean table '%s'. ", table)
        logger.debug("Traceback for table '%s'", table, exc_info=True)
        if session.is_active:
            logger.debug("Rolling back transaction")
            session.rollback()
@provide_session
def run_cleanup(