### Official Helm Chart version

1.2.0

### Apache Airflow version

2.1.4

### Kubernetes Version

v1.21.6+bb8d50a

### Helm Chart configuration

I defined a new Connection String for AIRFLOW_CONN_SPARK_DEFAULT in values.yaml like the following section (base64 encoded or with correct string (spark://k8s://100.68.0.1:443?deploy-mode=cluster):

```
extraSecrets:
  '{{ .Release.Name }}-airflow-connections':
     data: |
       AIRFLOW_CONN_SPARK_DEFAULT: 'c3Bhcms6Ly9rOHM6Ly8xMDAuNjguMC4xOjQ0Mz9kZXBsb3ktbW9kZT1jbHVzdGVy'
```

in Section extraEnvFrom i defined the following:

```
extraEnvFrom: |
   - secretRef:
       name: '{{ .Release.Name }}-airflow-connections'
```

### Docker Image customisations

added apache-airflow-providers-apache-spark to base Image

### What happened

Airflow Connection mapped wrong because of the k8s:// within the url.  if i ask for the connection with cmd "airflow connections get spark_default" then host=k8s and schema=/100.60.0.1:443 which is wrong

### What you expected to happen

the spark Connection based on k8s (spark://k8s://100.68.0.1:443?deploy-mode=cluster) should be parsed correctly

### How to reproduce

define in values.yaml

```
extraSecrets:
  '{{ .Release.Name }}-airflow-connections':
     data: |
       AIRFLOW_CONN_SPARK_DEFAULT: 'c3Bhcms6Ly9rOHM6Ly8xMDAuNjguMC4xOjQ0Mz9kZXBsb3ktbW9kZT1jbHVzdGVy'

extraEnvFrom: |
   - secretRef:
       name: '{{ .Release.Name }}-airflow-connections'
```


### 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 __future__ import annotations
import json
import logging
import warnings
from json import JSONDecodeError
from urllib.parse import parse_qsl, quote, unquote, urlencode, urlsplit
from sqlalchemy import Boolean, Column, Integer, String, Text
from sqlalchemy.orm import declared_attr, reconstructor, synonym
from airflow.configuration import ensure_secrets_loaded
from airflow.exceptions import AirflowException, AirflowNotFoundException, RemovedInAirflow3Warning
from airflow.models.base import ID_LEN, Base
from airflow.models.crypto import get_fernet
from airflow.utils.log.logging_mixin import LoggingMixin
from airflow.utils.log.secrets_masker import mask_secret
from airflow.utils.module_loading import import_string
log = logging.getLogger(__name__)
def parse_netloc_to_hostname(*args, **kwargs):