[KYUUBI #7106] Make response.results.columns optional

### Why are the changes needed?
Bugfix. Spark 3.5 is returning `None` for `response.results.columns`, while Spark 3.3 returned actual values.

The response here: https://github.com/apache/kyuubi/blob/master/python/pyhive/hive.py#L507

For a query that does nothing (mine was an `add jar s3://a/b/c.jar`), here are the responses I received.

Spark 3.3:
```
TFetchResultsResp(status=TStatus(statusCode=0, infoMessages=None, sqlState=None, errorCode=None, errorMessage=None), hasMoreRows=False, results=TRowSet(startRowOffset=0, rows=[], columns=[TColumn(boolVal=None, byteVal=None, i16Val=None, i32Val=None, i64Val=None, doubleVal=None, stringVal=TStringColumn(values=[], nulls=b'\x00'), binaryVal=None)], binaryColumns=None, columnCount=None))
```

Spark 3.5:
```
TFetchResultsResp(status=TStatus(statusCode=0, infoMessages=None, sqlState=None, errorCode=None, errorMessage=None), hasMoreRows=False, results=TRowSet(startRowOffset=0, rows=[], columns=None, binaryColumns=None, columnCount=None))
```

### How was this patch tested?
I tested by applying it locally and running my query against Spark 3.5. I was not able to get any unit tests running, sorry!

### Was this patch authored or co-authored using generative AI tooling?
No.

Closes #7107 from fbertsch/spark_3_5_fix.

Closes #7106

13d1440 [Frank Bertsch] Make response.results.columns optional

Authored-by: Frank Bertsch <fbertsch@netflix.com>
Signed-off-by: Cheng Pan <chengpan@apache.org>

Author: Frank Bertsch

python/pyhive/hive.py

@@ -508,14 +508,17 @@ def _fetch_more(self):
         _check_status(response)
         schema = self.description
         assert not response.results.rows, 'expected data in columnar format'
-        columns = [_unwrap_column(col, col_schema[1]) for col, col_schema in
-                   zip(response.results.columns, schema)]
-        new_data = list(zip(*columns))
-        self._data += new_data
+        has_new_data = False
+        if response.results.columns:
+            columns = [_unwrap_column(col, col_schema[1]) for col, col_schema in
+                       zip(response.results.columns, schema)]
+            new_data = list(zip(*columns))
+            self._data += new_data
+            has_new_data = (True if new_data else False)
         # response.hasMoreRows seems to always be False, so we instead check the number of rows
         # https://github.com/apache/hive/blob/release-1.2.1/service/src/java/org/apache/hive/service/cli/thrift/ThriftCLIService.java#L678
         # if not response.hasMoreRows:
-        if not new_data:
+        if not has_new_data:
             self._state = self._STATE_FINISHED
 
     def poll(self, get_progress_update=True):