amaliujia commented on code in PR #40693:
URL: https://github.com/apache/spark/pull/40693#discussion_r1162212156
##########
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Cast.scala:
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@@ -902,152 +903,191 @@ case class Cast(
}
// LongConverter
- private[this] def castToLong(from: DataType): Any => Any = from match {
- case StringType if ansiEnabled =>
- buildCast[UTF8String](_, v => UTF8StringUtils.toLongExact(v,
getContextOrNull()))
- case StringType =>
- val result = new LongWrapper()
- buildCast[UTF8String](_, s => if (s.toLong(result)) result.value else
null)
- case BooleanType =>
- buildCast[Boolean](_, b => if (b) 1L else 0L)
- case DateType =>
- buildCast[Int](_, d => null)
- case TimestampType =>
- buildCast[Long](_, t => timestampToLong(t))
- case x: NumericType if ansiEnabled =>
- b => x.exactNumeric.asInstanceOf[Numeric[Any]].toLong(b)
- case x: NumericType =>
- b => x.numeric.asInstanceOf[Numeric[Any]].toLong(b)
- case x: DayTimeIntervalType =>
- buildCast[Long](_, i => dayTimeIntervalToLong(i, x.startField,
x.endField))
- case x: YearMonthIntervalType =>
- buildCast[Int](_, i => yearMonthIntervalToInt(i, x.startField,
x.endField).toLong)
+ private[this] def castToLong(from: DataType): Any => Any = {
+ var exactNumeric: Numeric[Any] = null
+ var numeric: Numeric[Any] = null
Review Comment:
I see what you are suggesting.
Then probably we move every of those fields (ordering, fractional, numeric,
exactnumeric, integral, etc.) to the top-level fields.
This probably make PhysicalDataType more bigger as many PhysicalDataTypes
need to throw.
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