andygrove commented on PR #5854:
URL: 
https://github.com/apache/datafusion-comet/pull/5854#issuecomment-5780166239

   Heads up that I approved #5846 and it should land ahead of this one, so this 
will need a rebase. It is the smaller of the two and it fixes silent wrong 
results, so I did not want to hold it behind the policy-capture question here.
   
   The overlap resolves cleanly in one direction. The `maps.scala` nested guard 
is now identical in both branches, so that hunk will conflict but the 
resolution is a no-op. The part worth being deliberate about is 
`native/spark-expr/src/map_funcs/map_from_arrays.rs` and the `"map"` arm #5846 
adds to `comet_scalar_funcs.rs`. Because this PR renames the native call to 
`map_from_arrays` and replaces `MapFunc` with your own builder, both of those 
become unreachable the moment it lands. Could you delete them on the rebase 
rather than reconcile them? `validate_map_from_arrays` already does the same 
per-row length check, skips rows where either array is null for the same 
reason, and raises the same `SparkError::MapKeyValueDiffSizes`, so nothing is 
lost.
   
   One thing is worth carrying over rather than dropping. #5846 asserts the 
length mismatch in `CometMapExpressionSuite` with `checkSparkError(df, 
"_LEGACY_ERROR_TEMP_2128")`, which compares the exception class, the error 
class and the SQLSTATE across both engines and fails if a 
`CometNativeException` leaks through anywhere in the cause chain. The `query 
expect_error(must have the same length)` form in `map_from_arrays.sql` only 
substring-matches the message, so it would still pass on a generic native 
error. Could we keep the stronger assertion alongside the SQL file test?
   


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