peterxcli commented on PR #5177:
URL: 
https://github.com/apache/datafusion-comet/pull/5177#issuecomment-5154801152

   @andygrove thanks for the review!
   
   > 1. Micros → millis rounding
   
   Changed this one conversion back to a small custom kernel because Arrow 
truncates negative values toward zero, while Spark uses floor division.
   
   - Before: `-1_500_001 / 1_000 = -1500`
   - Now: `-1_500_001.div_euclid(1_000) = -1501`
   
   > 2. Millis → micros cast options for `array_with_timezone` in `utils.rs`
   
   Changed `CastOptions::default()` (`safe: true`) to DataFusion’s 
`DEFAULT_CAST_OPTIONS` (`safe: false`). This means Arrow: (1.) Reuses the 
existing null buffer. (2.) Returns an error on multiplication overflow, 
matching Spark’s `Math.multiplyExact`. (3. ) No longer silently converts 
overflowed values to `NULL`.
   
   I also added a regression assertion using `i64::MAX` to confirm overflow 
returns an error.
   ref: 
https://github.com/apache/spark/blob/v4.2.0/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/DateTimeUtilsSuite.scala#L969-L972
   
   > 3. `date_from_unix_date` option consistency
   
   Changed to use `DEFAULT_CAST_OPTIONS`.
   
   4. `cast_column.rs` test coverage
   
   Expanded the array test to cover all three relevant timezone layouts:
   
   - No timezone → no timezone
   - No timezone → `+07:00`
   - `UTC` → `America/New_York`


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