### Description

#27647 has introduced filtering for invalid schemas in Hive hook based on the characters `;` and `!`. I'm wondering if a more generic filtering could be introduced, e.g. one that adheres to the regex `[^a-z0-9_]`, since Hive schemas (and table names) can only contain alphanumeric characters and the character `_`.

Note: since the Hive metastore [stores schemas and tables in lowercase](https://stackoverflow.com/questions/57181316/how-to-keep-column-names-in-camel-case-in-hive/57183048#57183048), checking against `[^a-z0-9_]` is probably better than `[^a-zA-Z0-9_]`.

### Use case/motivation

Ensure that Hive schemas used in `apache-airflow-providers-apache-hive` hooks contain no invalid characters.

### Related issues

_No response_

### Are you willing to submit a 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)

hook = MockHiveServer2Hook()
        query = f"SELECT * FROM {self.table}"
        results = hook.get_results(query, schema=self.database)
        assert [col[0] for col in results["header"]] == self.columns
    def test_get_results_data(self):
        hook = MockHiveServer2Hook()
        query = f"SELECT * FROM {self.table}"
        results = hook.get_results(query, schema=self.database)
        assert results["data"] == [(1, 1), (2, 2)]
    def test_to_csv(self):