[SPARK-50762][SQL][TESTS] Add more scalar SQL UDF SQL query tests

[allisonwang-db]

What changes were proposed in this pull request?

This PR adds more SQL query tests for scalar SQL UDFs.

Why are the changes needed?

To make sure SQL UDF works with different operators and prevent regressions.

Does this PR introduce any user-facing change?

No

How was this patch tested?

Test only

Was this patch authored or co-authored using generative AI tooling?

No

[allisonwang-db]

This needs investigation. Created a follow up ticket: SPARK-52148

[allisonwang-db]

cc @cloud-fan

[cloud-fan]

@allisonwang-db can you rebase your branch and regenerate the golden files? the test fails

[info] - sql-udf.sql *** FAILED *** (6 seconds, 861 milliseconds)
[info]   sql-udf.sql
[info]   Expected "...s" : "\"sum(c2) AS `[outer(sum(]c2))`\""
[info]     },
[info]     "que...", but got "...s" : "\"sum(c2) AS `[sum(outer(spark_catalog.default.t1.]c2))`\""
[info]     },
[info]     "que..." Result did not match for query #159
[info]   SELECT c1, SUM(c2) + foo3_1a(MIN(c2), MAX(c2)) + (SELECT SUM(c2)) FROM t1 GROUP BY c1 (SQLQueryTestSuite.scala:683)

[xinrong-meng]

Failed test org.apache.spark.sql.kafka010.KafkaContinuousSourceTopicDeletionSuite seemed irrelevant, would you please retrigger?

[cloud-fan]

thanks, merging to master/4.0!

[dongjoon-hyun]

Hi, @allisonwang-db and @cloud-fan .

This seems to break branch-4.0.

• https://github.com/apache/spark/actions/runs/15070364465/job/42364916342

- sql-udf.sql_analyzer_test *** FAILED ***
  sql-udf.sql_analyzer_test
  Expected "...g.default.foo3_1b(c2[))#xL > cast(0 as bigint))
     +- Project [c1#x, count(1)#xL, spark_catalog.default.foo3_1b(x#x) AS spark_catalog.default.foo3_1b(sum(c2))#x, sum(spark_catalog.default.foo3_1b(c2))#xL]
        +- Project [c1#x, count(1)#xL, sum(c2)#xL, sum(spark_catalog.default.foo3_1b(c2))#xL, cast(sum(c2)#xL as int) AS x#x]
           +- Aggregate [c1#x], [c1#x, count(1) AS count(1)#xL, sum(c2#x) AS sum(c2)#xL, sum(spark_catalog.default.foo3_1b(x#x)) AS sum(spark_catalog.default.foo3_1b(c2]))#xL]
              +...", but got "...g.default.foo3_1b(c2[#x))#xL > cast(0 as bigint))
     +- Project [c1#x, count(1)#xL, spark_catalog.default.foo3_1b(x#x) AS spark_catalog.default.foo3_1b(sum(c2))#x, sum(spark_catalog.default.foo3_1b(c2#x))#xL]
        +- Project [c1#x, count(1)#xL, sum(c2)#xL, sum(spark_catalog.default.foo3_1b(c2#x))#xL, cast(sum(c2)#xL as int) AS x#x]
           +- Aggregate [c1#x], [c1#x, count(1) AS count(1)#xL, sum(c2#x) AS sum(c2)#xL, sum(spark_catalog.default.foo3_1b(x#x)) AS sum(spark_catalog.default.foo3_1b(c2#x]))#xL]
              +..." Result did not match for query #152
  SELECT c1, COUNT(*), foo3_1b(SUM(c2)) FROM t1 GROUP BY c1 HAVING SUM(foo3_1b(c2)) > 0 (SQLQueryTestSuite.scala:683)

[dongjoon-hyun]

I created a follow-up for branch-4.0.

• [SPARK-50762][SQL][TEST][FOLLOWUP][4.0] Regenerate sql-udf.sql.out #50928