sam-1112 commented on PR #5956:
URL: 
https://github.com/apache/datafusion-comet/pull/5956#issuecomment-6007341892

   Thanks, @andygrove. Extreme UTC/NTZ coarse truncation now uses integer 
calendar arithmetic, so truncating `Long.MaxValue` to YEAR returns 
`+294247-01-01`, while unrepresentable coarse results raise an overflow error. 
The SQL regression tests `date_trunc` directly with `expect_native(date_trunc)` 
and compares against Spark, and the NULL validity checks remain intact. I also 
fixed errors from unused dictionary entries and made fine-grained truncation 
handle NULL slots and lower-bound overflow consistently with Spark. Rust 
coverage includes adjacent maximum values and negative extremes. Injecting 
epoch zero for the extreme result makes the new SQL regression fail; this 
mutation check did not restore the old NULL merge implementation.


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