https://github.com/apache/airflow/blob/6c458f29c0eeadb1282e524e76fdd379d6436824/airflow/providers/apache/hive/hooks/hive.py#L464

It should be:
```
if hasattr(self, 'sub_process')
```
airflow/providers/apache/hive/hooks/hive.py
self,
        df: pandas.DataFrame,
        table: str,
        field_dict: Optional[Dict[Any, Any]] = None,
        delimiter: str = ',',
        encoding: str = 'utf8',
        pandas_kwargs: Any = None,
        **kwargs: Any,
    ) -> None:
        """
        Loads a pandas DataFrame into hive.
        Hive data types will be inferred if not passed but column names will
        not be sanitized.
        :param df: DataFrame to load into a Hive table
        :type df: pandas.DataFrame
        :param table: target Hive table, use dot notation to target a
            specific database
        :type table: str
        :param field_dict: mapping from column name to hive data type.
            Note that it must be OrderedDict so as to keep columns' order.
        :type field_dict: collections.OrderedDict
        :param delimiter: field delimiter in the file
        :type delimiter: str
        :param encoding: str encoding to use when writing DataFrame to file
        :type encoding: str
        :param pandas_kwargs: passed to DataFrame.to_csv
        :type pandas_kwargs: dict
        :param kwargs: passed to self.load_file
        """
        def _infer_field_types_from_df(df: pandas.DataFrame) -> Dict[Any, Any]: