cloud-fan commented on a change in pull request #29792: URL: https://github.com/apache/spark/pull/29792#discussion_r496529759
########## File path: sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/UnwrapCastInBinaryComparison.scala ########## @@ -200,25 +252,27 @@ object UnwrapCastInBinaryComparison extends Rule[LogicalPlan] { /** * Check if the input `fromExp` can be safely cast to `toType` without any loss of precision, * i.e., the conversion is injective. Note this only handles the case when both sides are of - * integral type. + * numeric type. */ private def canImplicitlyCast( fromExp: Expression, toType: DataType, literalType: DataType): Boolean = { toType.sameType(literalType) && !fromExp.foldable && - fromExp.dataType.isInstanceOf[IntegralType] && - toType.isInstanceOf[IntegralType] && + fromExp.dataType.isInstanceOf[NumericType] && + toType.isInstanceOf[NumericType] && Cast.canUpCast(fromExp.dataType, toType) } - private def getRange(dt: DataType): (Any, Any) = dt match { - case ByteType => (Byte.MinValue, Byte.MaxValue) - case ShortType => (Short.MinValue, Short.MaxValue) - case IntegerType => (Int.MinValue, Int.MaxValue) - case LongType => (Long.MinValue, Long.MaxValue) - case other => throw new IllegalArgumentException(s"Unsupported type: ${other.catalogString}") + private def getRange(dt: DataType): Option[(Any, Any)] = dt match { + case ByteType => Some((Byte.MinValue, Byte.MaxValue)) + case ShortType => Some((Short.MinValue, Short.MaxValue)) + case IntegerType => Some((Int.MinValue, Int.MaxValue)) + case LongType => Some((Long.MinValue, Long.MaxValue)) + case FloatType => Some((Float.NegativeInfinity, Float.NaN)) Review comment: why the upper bound is not `PositiveInfinity`? ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org