gengliangwang commented on a change in pull request #25300: [SPARK-28503][SQL]
Return null result on cast an out-of-range value to a integral type
URL: https://github.com/apache/spark/pull/25300#discussion_r309043580
##########
File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Cast.scala
##########
@@ -456,9 +474,52 @@ case class Cast(child: Expression, dataType: DataType,
timeZoneId: Option[String
case DateType =>
buildCast[Int](_, d => null)
case TimestampType =>
- buildCast[Long](_, t => timestampToLong(t).toInt)
- case x: NumericType =>
- b => x.numeric.asInstanceOf[Numeric[Any]].toInt(b)
+ buildCast[Long](_, t => {
+ val longValue = timestampToLong(t)
+ if (longValue == longValue.toInt) {
+ longValue.toInt
+ } else {
+ null
+ }
+ })
+ case ByteType =>
+ b => b.asInstanceOf[Byte].toInt
+ case ShortType =>
+ b => b.asInstanceOf[Short].toInt
+ case LongType =>
+ buildCast[Long](_, l =>
+ if (l == l.toInt) {
+ l.toInt
+ } else {
+ null
+ }
+ )
+ case x: FloatType =>
+ buildCast[Float](_, f =>
+ if (f <= Int.MaxValue && f >= Int.MinValue) {
+ f.toInt
Review comment:
Actually it is tricty to compare float and int if the float value is around
Int.MaxValue or Int.MinValue.
```
scala> BigDecimal((Int.MaxValue + 1L).toString).toFloat <= Int.MaxValue
res1: Boolean = true
```
This is because `float` is also 32 bits long, and it uses 8 bit to represent
the exponent field. While `int` is 32 bits long. So the comparison won't be
accurate.We don't have to worry about the rounding for Float -> Int.
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