### 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
13d1440a8 [Frank Bertsch] Make response.results.columns optional
Authored-by: Frank Bertsch <fbertsch@netflix.com>
Signed-off-by: Cheng Pan <chengpan@apache.org>
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