wForget commented on code in PR #1428:
URL: https://github.com/apache/datafusion-comet/pull/1428#discussion_r1974971511
##########
native/core/src/execution/planner.rs:
##########
@@ -922,13 +956,18 @@ impl PhysicalPlanner {
Ok(DataType::Decimal128(_p2, _s2)),
) => {
let data_type = return_type.map(to_arrow_datatype).unwrap();
+ let func_name = if options.is_integral_div {
Review Comment:
Sorry I missed it before.
> Do we need to update
https://github.com/apache/datafusion-comet/blob/main/spark/src/main/scala/org/apache/spark/sql/comet/DecimalPrecision.scala
?
I guess it may not be necessary, IntegralDivide always returns a long type.
>Additionally
https://github.com/apache/datafusion-comet/blob/main/spark/src/test/scala/org/apache/comet/CometExpressionSuite.scala#L1793
Decimal random number tests is another good test to extend
I added div operator to this test case.
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