cloud-fan commented on a change in pull request #26995: [SPARK-30341][SQL]
Overflow check for interval arithmetic operations
URL: https://github.com/apache/spark/pull/26995#discussion_r362054179
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/intervalExpressions.scala
##########
@@ -110,50 +110,57 @@ object ExtractIntervalPart {
}
}
-abstract class IntervalNumOperation(
- interval: Expression,
- num: Expression,
- operation: (CalendarInterval, Double) => CalendarInterval,
- operationName: String)
+abstract class IntervalNumOperation(interval: Expression, num: Expression,
operationName: String)
extends BinaryExpression with ImplicitCastInputTypes with Serializable {
+
+ protected val methodStr: String =
+ IntervalUtils.getClass.getName.stripSuffix("$") + "." + operationName +
"Exact"
+
override def left: Expression = interval
override def right: Expression = num
override def inputTypes: Seq[AbstractDataType] = Seq(CalendarIntervalType,
DoubleType)
+
override def dataType: DataType = CalendarIntervalType
override def nullable: Boolean = true
+ override def prettyName: String = operationName + "_interval"
+}
+
+case class MultiplyInterval(interval: Expression, num: Expression)
Review comment:
is this also new in Spark 3.0? If it is I think it's OK to always follow the
ansi behavior regardless the ansi flag.
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