### Apache Airflow version

2.1.4 (latest released)

### Operating System

linux

### Versions of Apache Airflow Providers

_No response_

### Deployment

Official Apache Airflow Helm Chart

### Deployment details

_No response_

### What happened

We have been unable to reproduce this in our testing. Our dags will utilize the S3KeySensor task. Sometimes we will have up to 100 dag_runs (running the same DAG) waiting for the S3KeySensor to poke the expected S3 documents.

We are regularly seeing this deadlock with mysql:

```
Exception: (MySQLdb._exceptions.OperationalError) (1213, 'Deadlock found when trying to get lock; try restarting transaction')
[SQL: DELETE FROM rendered_task_instance_fields WHERE rendered_task_instance_fields.dag_id = %s AND rendered_task_instance_fields.task_id = %s AND (rendered_task_instance_fields.dag_id, rendered_task_instance_fields.task_id, rendered_task_instance_fields.execution_date) NOT IN (SELECT subq1.dag_id, subq1.task_id, subq1.execution_date 
FROM (SELECT rendered_task_instance_fields.dag_id AS dag_id, rendered_task_instance_fields.task_id AS task_id, rendered_task_instance_fields.execution_date AS execution_date 
FROM rendered_task_instance_fields 
WHERE rendered_task_instance_fields.dag_id = %s AND rendered_task_instance_fields.task_id = %s ORDER BY rendered_task_instance_fields.execution_date DESC 
 LIMIT %s) AS subq1)]
[parameters: ('refresh_hub', 'scorecard_wait', 'refresh_hub', 'scorecard_wait', 1)] Exception trying create activation error: 400:
```

### What you expected to happen

_No response_

### How to reproduce

_No response_

### Anything else

Sometimes we will wait multiple days for our S3 documents to appear, This deadlock is occurring for 30%-40% of the dag_runs for an individual dags.

### Are you willing to submit PR?

- [ ] 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)

airflow/models/renderedtifields.py
"""Save Rendered Template Fields"""
    __tablename__ = "rendered_task_instance_fields"
    dag_id = Column(String(ID_LEN), primary_key=True)
    task_id = Column(String(ID_LEN), primary_key=True)
    execution_date = Column(UtcDateTime, primary_key=True)
    rendered_fields = Column(sqlalchemy_jsonfield.JSONField(json=json), nullable=False)
    k8s_pod_yaml = Column(sqlalchemy_jsonfield.JSONField(json=json), nullable=True)
    def __init__(self, ti: TaskInstance, render_templates=True):
        self.dag_id = ti.dag_id
        self.task_id = ti.task_id
        self.task = ti.task
        self.execution_date = ti.execution_date
        self.ti = ti
        if render_templates:
            ti.render_templates()
        if os.environ.get("AIRFLOW_IS_K8S_EXECUTOR_POD", None):
            self.k8s_pod_yaml = ti.render_k8s_pod_yaml()
        self.rendered_fields = {
            field: serialize_template_field(getattr(self.task, field)) for field in self.task.template_fields
        }
        self._redact()
    def __repr__(self):
        return f"<{self.__class__.__name__}: {self.dag_id}.{self.task_id} {self.execution_date}"
    def _redact(self):