[SPARK-54731][SQL] Fix Reverse expression to handle BinaryType by performing raw byte-level reversal

[xiaoxuandev]

What changes were proposed in this pull request?

When Spark's reverse function is called on a BinaryType column, it previously threw a type mismatch error because BinaryType was not in the accepted input types. This patch adds BinaryType support to the Reverse expression.

The changes:

1. Add BinaryType to the inputTypes TypeCollection in Reverse.
2. Add a BinaryType match case in the interpreted execution path (doReverse) using Scala's Array.reverse.
3. Add a BinaryType match case in the code generation path (doGenCode) with a dedicated binaryCodeGen method that performs byte-level reversal via a for loop.
4. Update @ExpressionDescription to document binary support (since 4.2.0).
5. Update data type mismatch error test expectations to include BINARY in the accepted types.
6. Add end-to-end SQL test for reverse on BinaryType in DataFrameFunctionsSuite covering both interpreted and codegen paths.

Why are the changes needed?

Without this fix, calling reverse on a BinaryType column fails with a type error. This is inconsistent with other Spark functions like length and concat that already support BinaryType.

Does this PR introduce any user-facing change?

Yes. The reverse function now accepts BinaryType input and returns the byte-reversed binary value. Previously this would throw an AnalysisException.

How was this patch tested?

• Unit tests in CollectionExpressionsSuite: multi-byte reversal, empty byte array, single byte, byte array containing 0x00, null input.
• End-to-end test in DataFrameFunctionsSuite: reverse on BinaryType column through both interpreted and codegen (cached) paths.
• Updated data type mismatch tests to reflect the new accepted type set.

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

Yes, co-authored with Kiro.

[HyukjinKwon]

Are there any reference that supports binary with reverse?