code: def _validate_db_type_string(db_type):
      """validates db_type parsed from DB URI is supported"""
      if db_type not in DATABASE_ENGINES:
          error_msg = f"Invalid database engine: '{db_type}'. '{_UNSUPPORTED_DB_TYPE_MSG}'"
          raise MlflowException(error_msg, INVALID_PARAMETER_VALUE)
  
imports: import numbers
  import posixpath
  import re
  from typing import List
  from mlflow.entities import Dataset, DatasetInput, InputTag
  from mlflow.exceptions import MlflowException
  from mlflow.protos.databricks_pb2 import INVALID_PARAMETER_VALUE
  from mlflow.store.db.db_types import DATABASE_ENGINES
  from mlflow.utils.string_utils import is_string_type
label_desc: Use image node_id 27 for calling a global function with example usage: _validate_db_type_string(db_type) without return types