pchintar commented on PR #22697:
URL: https://github.com/apache/datafusion/pull/22697#issuecomment-4657077318

   Hi @Jefffrey  I replaced the custom integer-type helper with 
`DataType::is_integer()` and restored the original `UInt64` handling in the 
Spark implementation, since Spark doesn't expose a `UInt64` type. I also reran 
the existing tests and manually verified the `Int64`/`UInt64` rounding cases to 
make sure the behavior is unchanged.


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