### Apache Airflow version

2.5.0

### What happened

We're currently running a suboptimal setup where database connectivity is laggy, 125ms roundtrip.

This has interesting consequences. For example, `airflow roles list` is really slow. Turns out that it's doing a lot of individual queries.

### What you think should happen instead

Ideally, listing roles should be a single (perhaps complex) query.

### How to reproduce

We're using py-spy to sample program execution:

```bash
$ py-spy record -o spy.svg -i --rate 250 --nonblocking airflow roles list
```
Now, to see the bad behavior, the database should incur significant latency.

### Operating System

Linux

### Versions of Apache Airflow Providers

_No response_

### Deployment

Official Apache Airflow Helm Chart

### Deployment details

_No response_

### Anything else

_No response_

### 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)

from flask import Flask
        from flask_appbuilder import AppBuilder
        from flask_appbuilder.security.mongoengine.manager import SecurityManager
        from flask_mongoengine import MongoEngine
        app = Flask(__name__)
        app.config.from_object('config')
        dbmongo = MongoEngine(app)
        appbuilder = AppBuilder(app, security_manager_class=SecurityManager)
    You can also create everything as an application factory.
    """
    baseviews: list[BaseView | Session] = []
    security_manager_class = None
    
    app = None
    
    session = None
    
    sm: BaseSecurityManager
    
    bm = None
    
    addon_managers = None
    
    _addon_managers = None
    menu = None
    indexview = None
    static_folder = None
    static_url_path = None
    template_filters = None
    def __init__(