Github user cloud-fan commented on a diff in the pull request: https://github.com/apache/spark/pull/14036#discussion_r70459222 --- Diff: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/arithmetic.scala --- @@ -237,6 +229,9 @@ case class Divide(left: Expression, right: Expression) } } + // Used by doGenCode + protected def divide(eval1: ExprCode, eval2: ExprCode, javaType: String): String --- End diff -- you can see from [this test](https://github.com/apache/spark/pull/14036/files#diff-f3fc3b985a8877ee493f1a12ddfb98d6L143) that the previous `Divide` expression can support all integral types and fraction types. BTW looks there is no special handling for integral type in your PR, for fraction type: ``` if (dataType.isInstanceOf[DecimalType]) { s"${eval1.value}.$decimalMethod(${eval2.value})" } else { s"($javaType)(${eval1.value} $symbol ${eval2.value})" } ``` while the `symbol` is `/`, so we generate `($javaType)(${eval1.value} / ${eval2.value})` for double and float. for integral type: ``` ($javaType)(${eval1.value} $decimalMethod (${eval2.value})) ``` while the `decimalMethod` is `/`, so it's still generates `($javaType)(${eval1.value} / ${eval2.value})`
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