### 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)

with suppress(AttributeError):
                        all_models.update({class_.__tablename__: class_})
        exclusion_list = {
            "ab_user",
            "variable",  
            "dataset",  
            "trigger",  
            "task_map",  
            "serialized_dag",  
            "log_template",  
            "dag_tag",  
            "dag_owner_attributes",  
            "dag_pickle",  
            "dag_code",  
            "dag_warning",  
            "connection",  
            "slot_pool",  
            "dag_schedule_dataset_reference",  
            "task_outlet_dataset_reference",  
            "dataset_dag_run_queue",  
            "dataset_event_dag_run",  
            "task_instance_note",  
            "dag_run_note",  
        }
        from airflow.utils.db_cleanup import config_dict
        print(f"all_models={set(all_models)}")
        print(f"excl+conf={exclusion_list.union(config_dict)}")
        assert set(all_models) - exclusion_list.union(config_dict) == set()
        assert exclusion_list.isdisjoint(config_dict)
def create_tis(base_date, num_tis, external_trigger=False):