### Apache Airflow version

2.5.2

### What happened

when trying to delete a dag run with many tasks (>1000) the operation times out and the dag run is not deleted. 

### What you think should happen instead

_No response_

### How to reproduce

attempt to delete a dag run that contains >1000 tasks (in my case 10k) using the dagrun/list/ page results in a timeout:
![image](https://user-images.githubusercontent.com/7373236/226325567-5a87efa1-4744-417e-9995-b97dd1791401.png)


code for dag (however it fails on any dag with > 1000 tasks):
```
import json

from airflow.providers.cncf.kubernetes.operators.kubernetes_pod import KubernetesPodOperator
from datetime import datetime, timedelta
from airflow.decorators import dag, task

default_args = {
    'owner': 'airflow',
    'depends_on_past': False,
    'retries': 0,
    'retry_delay': timedelta(minutes=1),
    'start_date': datetime(2023, 2, 26),
    'is_delete_operator_pod': True,
    'get_logs': True
}


@dag('system_test', schedule=None, default_args=default_args, catchup=False, tags=['maintenance'])
def run_test_airflow():
    stress_image = 'dockerhub.prod.evogene.host/progrium/stress'  

    @task
    def create_cmds():
        commands = []
        for i in range(10000):
            commands.append(["stress --cpu 4 --io 1 --vm 2 --vm-bytes 6000M --timeout 60s"])
        return commands

    KubernetesPodOperator.partial(
        image=stress_image ,
        task_id=f'test_airflow',
        name=f'test_airflow',
        cmds=["/bin/sh", "-c"],
        log_events_on_failure=True,
        pod_template_file=f'/opt/airflow/dags/repo/templates/cpb_cpu_4_mem_16'
    ).expand(arguments=create_cmds())


run_test_airflow()

```

### Operating System

kubernetes deployment

### 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)

"""Shows configuration."""
        raw = request.args.get("raw") == "true"
        title = "Airflow Configuration"
        expose_config = conf.get("webserver", "expose_config").lower()
        
        if raw:
            if expose_config == "non-sensitive-only":
                from airflow.configuration import SENSITIVE_CONFIG_VALUES
                updater = configupdater.ConfigUpdater()
                updater.read(AIRFLOW_CONFIG)
                for sect, key in SENSITIVE_CONFIG_VALUES:
                    if updater.has_option(sect, key):
                        updater[sect][key].value = "< hidden >"
                config = str(updater)
            elif expose_config in {"true", "t", "1"}:
                with open(AIRFLOW_CONFIG) as file:
                    config = file.read()
            else:
                config = (
                    "# Your Airflow administrator chose not to expose the configuration, "
                    "most likely for security reasons."
                )
            return Response(
                response=config,
                status=200,
                mimetype="application/text",
                headers={"Deprecation": "Endpoint will be removed in Airflow 3.0, use the REST API instead."},
            )
        if expose_config in {"non-sensitive-only", "true", "t", "1"}:
            display_sensitive = expose_config != "non-sensitive-only"