Hi @Walter_C 

Thank you for the clarification. However, I’d like to emphasize that before version 14.1, specifically in version 13.1, insert operations were indeed performed in bulk. By "bulk operations," I mean that multiple SQL statements were executed within a single insert command, as shown in the examples below:

Version 14.1:
`INFO SparkExecuteStatementOperation: Submitting query 'INSERT INTO TEST_20241113 (ID, Age, Amt) VALUES (?, ?, ?)'`

Version 13.1:
`INSERT INTO vltn_gold.TEST_20241113 (ID, Age, Amt) VALUES (1.0, 25.0, 40000.0), (2.0, 30.0, 45000.0)`

As you can see, in version 13.1, multiple rows were inserted in a single statement, whereas in version 14.1, each row is inserted individually.

The Spark settings and cluster setup (aside from the different runtime versions) are identical on both clusters, so there’s no additional configuration or setup difference that could be causing this change in behavior.

Thank you