andygrove opened a new issue, #3079:
URL: https://github.com/apache/datafusion-comet/issues/3079
### Describe the bug
Comet's murmur3 hash implementation is not compatible with Spark for high
precision types and we should fall back to Spark if the partitioning keys
contain these types.
We just need to add a check like this:
```
271 - case dt: DecimalType =>
272 - // High precision decimals (> 18) fall back to Spark because
Spark converts them
273 - // to Java BigDecimal before hashing, which has different
behavior than native hashing
274 - dt.precision <= 18
```
### Steps to reproduce
_No response_
### Expected behavior
_No response_
### Additional context
_No response_
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