andygrove commented on issue #4500:
URL: 
https://github.com/apache/datafusion-comet/issues/4500#issuecomment-4835668919

   **Item #4 (greatest / least input-type gating) — spun out to #4756.**
   
   Investigation found no live defect: on Spark 3.5 and 4.0, every 
Spark-accepted input type either runs natively and matches Spark (numerics 
incl. NaN, decimal, string, date, timestamp, binary, arrays, structs, 
null-only) or falls back gracefully (intervals, collated strings). The issue's 
proposed scalar-only gating would regress the array / struct / decimal cases 
that work today.
   
   Deferred to #4756 to revisit once the in-flight native interval-support PRs 
land (intervals currently fall back via non-serializable types; that changes 
once they serialize), and to add regression tests for the verified behavior.


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