feat: add simd add/sub/mul expressions

[clintropolis]

Description

This PR adds a new config druid.expressions.useVectorApi to allow using the incubating JDK Vector API ((also requires running Druid with flags --add-modules jdk.incubator.vector).

The measurements look pretty nice, though I think perhaps some of the simpler expressions I measured might have already been eligible for auto-vectorization given that the numbers look approximately the same for the first few:

Benchmark                        (complexCompression)  (deferExpressionDimensions)  (jsonObjectStorageEncoding)  (query)  (rowsPerSegment)  (schemaType)  (storageType)  (stringEncoding)  (useVectorApi)  (vectorize)  Mode  Cnt   Score   Error  Units
SqlExpressionBenchmark.querySql                  NONE                 singleString                        SMILE        7           1500000      explicit           MMAP              UTF8           false        force  avgt    5  14.404 ± 0.699  ms/op
SqlExpressionBenchmark.querySql                  NONE                 singleString                        SMILE        7           1500000      explicit           MMAP              UTF8            true        force  avgt    5  14.647 ± 0.866  ms/op
SqlExpressionBenchmark.querySql                  NONE                 singleString                        SMILE        8           1500000      explicit           MMAP              UTF8           false        force  avgt    5  24.437 ± 0.973  ms/op
SqlExpressionBenchmark.querySql                  NONE                 singleString                        SMILE        8           1500000      explicit           MMAP              UTF8            true        force  avgt    5  24.367 ± 1.530  ms/op
SqlExpressionBenchmark.querySql                  NONE                 singleString                        SMILE        9           1500000      explicit           MMAP              UTF8           false        force  avgt    5  26.923 ± 0.841  ms/op
SqlExpressionBenchmark.querySql                  NONE                 singleString                        SMILE        9           1500000      explicit           MMAP              UTF8            true        force  avgt    5  26.668 ± 1.180  ms/op
SqlExpressionBenchmark.querySql                  NONE                 singleString                        SMILE       10           1500000      explicit           MMAP              UTF8           false        force  avgt    5  43.108 ± 2.033  ms/op
SqlExpressionBenchmark.querySql                  NONE                 singleString                        SMILE       10           1500000      explicit           MMAP              UTF8            true        force  avgt    5  38.607 ± 0.690  ms/op
SqlExpressionBenchmark.querySql                  NONE                 singleString                        SMILE       11           1500000      explicit           MMAP              UTF8           false        force  avgt    5  61.805 ± 0.641  ms/op
SqlExpressionBenchmark.querySql                  NONE                 singleString                        SMILE       11           1500000      explicit           MMAP              UTF8            true        force  avgt    5  35.907 ± 0.516  ms/op

I just did add/subtract/multiply implmenetations so far, but there are a few other easy wins that I'll probably add over a few follow-up PRs.

[FrankChen021]

I have reviewed the code for correctness, edge cases, concurrency, and integration risks; no issues found.

Reviewed 30 of 30 changed files.

---

This is an automated review by Codex GPT-5.5

[Shekharrajak]

This is looking nice, I would like to know any discussion around using JDK based SIMD or native Rust/Cpp based SIMD to understand the improvements, benefits we will get and tradeoff.

Ref #19456

[FrankChen021]

This is looking nice, I would like to know any discussion around using JDK based SIMD or native Rust/Cpp based SIMD to understand the improvements, benefits we will get and tradeoff.

Ref #19456

I think starting from Vector API is a natural first step.
If there are some sophisticated Rust/Cpp based SIMD libs (already wide used by Java apps) that have significant improvement over vector API, it's worth trying.

[clintropolis]

This is looking nice, I would like to know any discussion around using JDK based SIMD or native Rust/Cpp based SIMD to understand the improvements, benefits we will get and tradeoff.

Ref #19456

I guess I view this change and my planned follow-ups as sort of orthogonal to whatever experiments are done re #19456; that said these changes do make a baseline of what our current stuff can do which we can measure any experiments against.

[jtuglu1]

I suspect benchmarks will look better on the JDK 25 compiler (next release).

[gianm]

Is there a VectorExprResultConsistencyTest for one side or the other being 100% null? Would be a good case to check for.