davidlghellin opened a new pull request, #20461:
URL: https://github.com/apache/datafusion/pull/20461

   ## Which issue does this PR close?
   
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   - NA.
   
   ## Rationale for this change
   
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    Why are you proposing this change? If this is already explained clearly in 
the issue then this section is not needed.
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   Spark's `mod` and `pmod` functions return `NULL` on integer division by zero 
in legacy mode (ANSI off), but DataFusion's implementation always threw a 
`DivideByZero` error regardless of the ANSI mode setting.
   ## What changes are included in this PR?
   
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   There is no need to duplicate the description in the issue here but it is 
sometimes worth providing a summary of the individual changes in this PR.
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   Add ANSI mode support to `spark_mod` and `spark_pmod` via enable_ansi_mode 
config option
   In legacy mode (ANSI off): division by zero returns `NULL` per-element
   In ANSI mode (ANSI on): division by zero throws an error (unchanged behavior)
   Add `try_rem` helper that handles per-element zero-divisor masking for 
integer arrays
   
   
   ## Are these changes tested?
   
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   Yes:
   
   - 18 unit tests in modulus.rs (including new tests for both ANSI modes)
   - Updated pmod.slt and mod.slt sqllogictests with ANSI on/off coverage
   
   ## Are there any user-facing changes?
   
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updated before approving the PR.
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   Yes — mod(10, 0) and pmod(10, 0) now return NULL instead of erroring when 
enable_ansi_mode = false (the default), matching Spark behavior.
   
   
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