org.apache.flink.table.codegen.calls.DivCallGen.scala Maven / Gradle / Ivy
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package org.apache.flink.table.codegen.calls
import org.apache.flink.table.api.types.{DecimalType, InternalType}
import org.apache.flink.table.codegen.calls.CallGenerator.generateCallIfArgsNotNull
import org.apache.flink.table.codegen.{CodeGenUtils, CodeGeneratorContext, GeneratedExpression}
import org.apache.flink.table.dataformat.Decimal
import org.apache.flink.table.typeutils.TypeCheckUtils.isNumeric
// DIV(T1, T2) - return integral part of the division; fractional truncated.
// T1, T2 are exact numeric types.
// return type has scale=0, and precision big enough.
// if both T1 and T2 are java primitive types, return T1
// otherwise, T1 or T2 is Decimal, return Decimal with scale=0
class DivCallGen extends CallGenerator {
override def generate(
ctx: CodeGeneratorContext,
operands: Seq[GeneratedExpression],
returnType: InternalType,
nullCheck: Boolean): GeneratedExpression = {
val (arg1, type1) = (operands(0).resultTerm, operands(0).resultType)
val (arg2, type2) = (operands(1).resultTerm, operands(1).resultType)
def toDec(arg: String) = s"${Decimal.Ref.castFrom}($arg, 19, 0)"
def decDiv(arg1: String, arg2: String) = {
val method = Decimal.Ref.operator("DIV")
val dt = returnType.asInstanceOf[DecimalType]
s"$method($arg1, $arg2, ${dt.precision}, ${dt.scale})"
}
val code = (type1, type2) match {
case (_: DecimalType, _: DecimalType) =>
decDiv(arg1, arg2)
case (_: DecimalType, right) if isNumeric(right) =>
decDiv(arg1, toDec(arg2))
case (left, _: DecimalType) if isNumeric(left) =>
decDiv(toDec(arg1), arg2)
case (left, right) if isNumeric(left) && isNumeric(right) =>
val javaT0 = CodeGenUtils.primitiveTypeTermForType(type1)
s"($javaT0)( ((long)$arg1) / ((long)$arg2) )"
case _ =>
throw new AssertionError(s"Unexpected types ($type1, $type2)")
}
generateCallIfArgsNotNull(ctx, nullCheck, returnType, operands) { _ => code }
}
}
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