sunchao commented on PR #4971:
URL: 
https://github.com/apache/datafusion-comet/pull/4971#issuecomment-5902094332

   Found **one new P2** in the five-agent review of `87790224` against base 
`222609d8`.
   
   **[P2] Avoid Revalidating Serialized UTF-8**
   
[get_json_object.rs:542](https://github.com/apache/datafusion-comet/blob/87790224c8649404448c2a119b5b75ef93056785/native/spark-expr/src/string_funcs/get_json_object.rs#L542)
 and [line 
645](https://github.com/apache/datafusion-comet/blob/87790224c8649404448c2a119b5b75ef93056785/native/spark-expr/src/string_funcs/get_json_object.rs#L645)
 rescan output that the serializer already guarantees is valid UTF-8.
   
   For `$.a[*]` returning a 65,535-byte CJK string, repeated benchmarks 
measured **56.87 us on base versus 100.52 us on head: 77% slower**. Removing 
only redundant validation reduced this to **58.45 us**, with identical output, 
also verified against Spark. These inputs contain no floats.
   
   Could we preserve the serializer’s documented UTF-8 invariant when 
constructing the final string and add a non-ASCII output benchmark? These are 
evaluator timings, not whole-query measurements.
   
   **Other Conclusions**
   - The previous four findings are addressed, including the explicitly 
documented numeric-limit compatibility policy.
   - No new actionable correctness issue or unnecessary abstraction was 
verified.
   - No new Spark operator fallback. Native execution remains opt-in; default 
JVM dispatch is unchanged.
   - Float-heavy arrays measured **1.8–1.9x slower** with the Java-style 
formatter. This is a separate measured compatibility tradeoff.
   
   **Validation**
   - Passed **1,033 unit tests**, including 53 JSON tests, plus 8 
integration/registration tests.
   - Spark 4.1/JDK 17 SQL fixture passed both dictionary configurations using 
the freshly built native library.
   - Checked 155,663 traversal cases, 4,399 numeric cases, 240 edge cases, and 
96 compiled-entry-point comparisons. Existing incompatibilities remain.
   - Full upstream Spark suites/version matrix were not rerun. [Comet 
CI](https://github.com/apache/datafusion-comet/actions/runs/36542733719), 
CodeQL, and title checks remain `action_required`.
   
   I haven’t posted this new finding.


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