wangzhigang1999 commented on PR #7704:
URL: https://github.com/apache/kyuubi/pull/7704#issuecomment-5522553279
I found a Spark 4.3 compatibility gap while testing this PR through Kyuubi
JDBC on Kubernetes.
Open a session with:
```text
jdbc:hive2://<host>:10009/default;#spark.sql.timestampNanosTypes.enabled=true
```
Then run:
```sql
SELECT localtimestamp(9);
```
Spark finishes the query, but Beeline fails while fetching the result-set
metadata:
```text
IllegalArgumentException: Unrecognized type name: timestamp_ntz(9)
at SchemaHelper.toTTypeId(SchemaHelper.scala:59)
```
`SchemaHelper` currently handles `TimestampType` and `TimestampNTZType`.
Spark 4.3's `TimestampNTZNanosType` and `TimestampLTZNanosType` extend
`AnyTimestampNanoType`, so they reach the fallback case.
Could we add handling and tests for both nanos types at precisions 7–9,
including metadata precision and Thrift/Arrow result conversion?
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