[SPARK-55519][SQL][TESTS] Fix V2FunctionBenchmark

[pan3793]

What changes were proposed in this pull request?

Fix V2FunctionBenchmark, caused by SPARK-53968 (#52681)

$ build/sbt "sql/Test/runMain org.apache.spark.sql.connector.functions.V2FunctionBenchmark"
...
[info] running (fork) org.apache.spark.sql.connector.functions.V2FunctionBenchmark
[error] WARNING: Using incubator modules: jdk.incubator.vector
[info] 13:43:41.084 WARN org.apache.spark.util.Utils: Your hostname, H27212-MAC-01.local, resolves to a loopback address: 127.0.0.1; using 10.242.159.140 instead (on interface en0)
[info] 13:43:41.087 WARN org.apache.spark.util.Utils: Set SPARK_LOCAL_IP if you need to bind to another address
[info] 13:43:41.260 WARN org.apache.hadoop.util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
[info] Running benchmark: scalar function (long + long) -> long, result_nullable = true codegen = true
[info]   Running case: native_long_add
[error] Exception in thread "main" java.lang.NullPointerException: Cannot invoke "org.apache.spark.sql.catalyst.expressions.NumericEvalContext.evalMode()" because the return value of "org.apache.spark.sql.catalyst.expressions.BinaryArithmetic.evalContext()" is null
[error] 	at org.apache.spark.sql.catalyst.expressions.BinaryArithmetic.evalMode(arithmetic.scala:201)
[error] 	at org.apache.spark.sql.catalyst.expressions.BinaryArithmetic.failOnError(arithmetic.scala:209)
[error] 	at org.apache.spark.sql.catalyst.expressions.BinaryArithmetic.initQueryContext(arithmetic.scala:251)
[error] 	at org.apache.spark.sql.catalyst.expressions.SupportQueryContext.$init$(Expression.scala:670)
[error] 	at org.apache.spark.sql.catalyst.expressions.BinaryArithmetic.<init>(arithmetic.scala:193)
[error] 	at org.apache.spark.sql.connector.functions.V2FunctionBenchmark$NativeAdd.<init>(V2FunctionBenchmark.scala:111)
[error] 	at org.apache.spark.sql.connector.functions.V2FunctionBenchmark$.$anonfun$scalarFunctionBenchmark$3(V2FunctionBenchmark.scala:88)
...

Why are the changes needed?

Fix the benchmark.

Does this PR introduce any user-facing change?

No.

How was this patch tested?

Verified locally, GHA benchmark reports for JDK 17 and 21 are updated.

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

No.

[dongjoon-hyun]

Actually, there is a JIRA issue, SPARK-55519 already for this, @pan3793 . Could you use that by change the PR title and close the JIRA issue, SPARK-55744, because we prefer to use the smaller JIRA IDs for duplications?

It's reported here.

• #54313

[pan3793]

@dongjoon-hyun thanks for the information, was not aware of that, let me use that and close SPARK-55744 as duplicated

[dongjoon-hyun]

+1, LGTM. Thank you, @pan3793 .

[pan3793]

Benchmark results for JDK 17 and 21 are updated, and they look reasonable. @dongjoon-hyun, could you please double-check too?

JDK 25 benchmark results will be uploaded in bulk later, via an independent PR.

[dongjoon-hyun]

All results look correct to me. Thank you, @pan3793 . Merged to master