parthchandra commented on PR #6447:
URL: 
https://github.com/apache/datafusion-comet/pull/6447#issuecomment-5919313999

   Notes on the comparison-builder normalization:
   
   - 
**`spark/src/test/resources/sql-tests/expressions/conditional/float_comparisons.sql:88`**
 — the fixture covers `=`, `<=>`, `<`, `<=`, `>`, `>=`, `!=`, but there's no 
`IS DISTINCT FROM` query, which is a separate native operator with its own 
routing. It's covered in the Rust unit tests, but since this SQL file is the 
Spark-comparison fixture, please add an `a IS DISTINCT FROM b` case end to end.
   
   - **`float_comparisons.sql`** (end of file) — the nested cases cover one 
level of `ARRAY<DOUBLE>` and `STRUCT<v: DOUBLE>`. Please add a deeper shape 
like `ARRAY<STRUCT<v: DOUBLE>>` or `STRUCT<a: ARRAY<DOUBLE>>`. 
`normalize_nested_floats` recurses, so it should just work, but a deeper column 
proves it for the ordering operators.
   
   - 
**`spark/src/test/scala/org/apache/comet/exec/CometNativeReaderSuite.scala:1538`**
 — the pruning test writes `range(0,1000)` cast to double, so there's no NaN or 
`-0.0` in the data. It confirms pruning still fires, but not the other 
direction: a row group Spark would match because it holds a NaN (Spark treats 
`NaN > 500.0` as true) must not be pruned away by the raw comparison. Can you 
confirm a NaN-bearing row group survives here, and consider a small NaN case? 
This is unchanged by the PR, so a coverage question, not a regression.
   
   - **`native/spark-expr/src/array_funcs/nested_comparison.rs:272`** — for 
nested ordering operators both operands are deep-copied through 
`normalize_nested_floats` per batch, unlike nested `=`/`<>` which compare in 
place. The PR body and module doc already note the planned no-copy comparator; 
just flagging the cost is real for wide nested columns.
   


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