forked from apache/spark
/
Cast.scala
1311 lines (1206 loc) · 48 KB
/
Cast.scala
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/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.spark.sql.catalyst.expressions
import java.math.{BigDecimal => JavaBigDecimal}
import org.apache.spark.SparkException
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.analysis.{TypeCheckResult, TypeCoercion}
import org.apache.spark.sql.catalyst.expressions.codegen._
import org.apache.spark.sql.catalyst.expressions.codegen.CodegenUtils._
import org.apache.spark.sql.catalyst.util._
import org.apache.spark.sql.types._
import org.apache.spark.unsafe.types.{CalendarInterval, UTF8String}
import org.apache.spark.unsafe.types.UTF8String.{IntWrapper, LongWrapper}
object Cast {
/**
* Returns true iff we can cast `from` type to `to` type.
*/
def canCast(from: DataType, to: DataType): Boolean = (from, to) match {
case (fromType, toType) if fromType == toType => true
case (NullType, _) => true
case (_, StringType) => true
case (StringType, BinaryType) => true
case (StringType, BooleanType) => true
case (DateType, BooleanType) => true
case (TimestampType, BooleanType) => true
case (_: NumericType, BooleanType) => true
case (StringType, TimestampType) => true
case (BooleanType, TimestampType) => true
case (DateType, TimestampType) => true
case (_: NumericType, TimestampType) => true
case (StringType, DateType) => true
case (TimestampType, DateType) => true
case (StringType, CalendarIntervalType) => true
case (StringType, _: NumericType) => true
case (BooleanType, _: NumericType) => true
case (DateType, _: NumericType) => true
case (TimestampType, _: NumericType) => true
case (_: NumericType, _: NumericType) => true
case (ArrayType(fromType, fn), ArrayType(toType, tn)) =>
canCast(fromType, toType) &&
resolvableNullability(fn || forceNullable(fromType, toType), tn)
case (MapType(fromKey, fromValue, fn), MapType(toKey, toValue, tn)) =>
canCast(fromKey, toKey) &&
(!forceNullable(fromKey, toKey)) &&
canCast(fromValue, toValue) &&
resolvableNullability(fn || forceNullable(fromValue, toValue), tn)
case (StructType(fromFields), StructType(toFields)) =>
fromFields.length == toFields.length &&
fromFields.zip(toFields).forall {
case (fromField, toField) =>
canCast(fromField.dataType, toField.dataType) &&
resolvableNullability(
fromField.nullable || forceNullable(fromField.dataType, toField.dataType),
toField.nullable)
}
case (udt1: UserDefinedType[_], udt2: UserDefinedType[_]) if udt1.userClass == udt2.userClass =>
true
case _ => false
}
/**
* Return true if we need to use the `timeZone` information casting `from` type to `to` type.
* The patterns matched reflect the current implementation in the Cast node.
* c.f. usage of `timeZone` in:
* * Cast.castToString
* * Cast.castToDate
* * Cast.castToTimestamp
*/
def needsTimeZone(from: DataType, to: DataType): Boolean = (from, to) match {
case (StringType, TimestampType) => true
case (DateType, TimestampType) => true
case (TimestampType, StringType) => true
case (TimestampType, DateType) => true
case (ArrayType(fromType, _), ArrayType(toType, _)) => needsTimeZone(fromType, toType)
case (MapType(fromKey, fromValue, _), MapType(toKey, toValue, _)) =>
needsTimeZone(fromKey, toKey) || needsTimeZone(fromValue, toValue)
case (StructType(fromFields), StructType(toFields)) =>
fromFields.length == toFields.length &&
fromFields.zip(toFields).exists {
case (fromField, toField) =>
needsTimeZone(fromField.dataType, toField.dataType)
}
case _ => false
}
/**
* Return true iff we may truncate during casting `from` type to `to` type. e.g. long -> int,
* timestamp -> date.
*/
def mayTruncate(from: DataType, to: DataType): Boolean = (from, to) match {
case (from: NumericType, to: DecimalType) if !to.isWiderThan(from) => true
case (from: DecimalType, to: NumericType) if !from.isTighterThan(to) => true
case (from, to) if illegalNumericPrecedence(from, to) => true
case (TimestampType, DateType) => true
case (StringType, to: NumericType) => true
case _ => false
}
private def illegalNumericPrecedence(from: DataType, to: DataType): Boolean = {
val fromPrecedence = TypeCoercion.numericPrecedence.indexOf(from)
val toPrecedence = TypeCoercion.numericPrecedence.indexOf(to)
toPrecedence > 0 && fromPrecedence > toPrecedence
}
def forceNullable(from: DataType, to: DataType): Boolean = (from, to) match {
case (NullType, _) => true
case (_, _) if from == to => false
case (StringType, BinaryType) => false
case (StringType, _) => true
case (_, StringType) => false
case (FloatType | DoubleType, TimestampType) => true
case (TimestampType, DateType) => false
case (_, DateType) => true
case (DateType, TimestampType) => false
case (DateType, _) => true
case (_, CalendarIntervalType) => true
case (_, _: DecimalType) => true // overflow
case (_: FractionalType, _: IntegralType) => true // NaN, infinity
case _ => false
}
private def resolvableNullability(from: Boolean, to: Boolean) = !from || to
}
/**
* Cast the child expression to the target data type.
*
* When cast from/to timezone related types, we need timeZoneId, which will be resolved with
* session local timezone by an analyzer [[ResolveTimeZone]].
*/
@ExpressionDescription(
usage = "_FUNC_(expr AS type) - Casts the value `expr` to the target data type `type`.",
examples = """
Examples:
> SELECT _FUNC_('10' as int);
10
""")
case class Cast(child: Expression, dataType: DataType, timeZoneId: Option[String] = None)
extends UnaryExpression with TimeZoneAwareExpression with NullIntolerant {
def this(child: Expression, dataType: DataType) = this(child, dataType, None)
override def toString: String = s"cast($child as ${dataType.simpleString})"
override def checkInputDataTypes(): TypeCheckResult = {
if (Cast.canCast(child.dataType, dataType)) {
TypeCheckResult.TypeCheckSuccess
} else {
TypeCheckResult.TypeCheckFailure(
s"cannot cast ${child.dataType.simpleString} to ${dataType.simpleString}")
}
}
override def nullable: Boolean = Cast.forceNullable(child.dataType, dataType) || child.nullable
override def withTimeZone(timeZoneId: String): TimeZoneAwareExpression =
copy(timeZoneId = Option(timeZoneId))
// When this cast involves TimeZone, it's only resolved if the timeZoneId is set;
// Otherwise behave like Expression.resolved.
override lazy val resolved: Boolean =
childrenResolved && checkInputDataTypes().isSuccess && (!needsTimeZone || timeZoneId.isDefined)
private[this] def needsTimeZone: Boolean = Cast.needsTimeZone(child.dataType, dataType)
// [[func]] assumes the input is no longer null because eval already does the null check.
@inline private[this] def buildCast[T](a: Any, func: T => Any): Any = func(a.asInstanceOf[T])
// UDFToString
private[this] def castToString(from: DataType): Any => Any = from match {
case BinaryType => buildCast[Array[Byte]](_, UTF8String.fromBytes)
case DateType => buildCast[Int](_, d => UTF8String.fromString(DateTimeUtils.dateToString(d)))
case TimestampType => buildCast[Long](_,
t => UTF8String.fromString(DateTimeUtils.timestampToString(t, timeZone)))
case ArrayType(et, _) =>
buildCast[ArrayData](_, array => {
val builder = new UTF8StringBuilder
builder.append("[")
if (array.numElements > 0) {
val toUTF8String = castToString(et)
if (!array.isNullAt(0)) {
builder.append(toUTF8String(array.get(0, et)).asInstanceOf[UTF8String])
}
var i = 1
while (i < array.numElements) {
builder.append(",")
if (!array.isNullAt(i)) {
builder.append(" ")
builder.append(toUTF8String(array.get(i, et)).asInstanceOf[UTF8String])
}
i += 1
}
}
builder.append("]")
builder.build()
})
case MapType(kt, vt, _) =>
buildCast[MapData](_, map => {
val builder = new UTF8StringBuilder
builder.append("[")
if (map.numElements > 0) {
val keyArray = map.keyArray()
val valueArray = map.valueArray()
val keyToUTF8String = castToString(kt)
val valueToUTF8String = castToString(vt)
builder.append(keyToUTF8String(keyArray.get(0, kt)).asInstanceOf[UTF8String])
builder.append(" ->")
if (!valueArray.isNullAt(0)) {
builder.append(" ")
builder.append(valueToUTF8String(valueArray.get(0, vt)).asInstanceOf[UTF8String])
}
var i = 1
while (i < map.numElements) {
builder.append(", ")
builder.append(keyToUTF8String(keyArray.get(i, kt)).asInstanceOf[UTF8String])
builder.append(" ->")
if (!valueArray.isNullAt(i)) {
builder.append(" ")
builder.append(valueToUTF8String(valueArray.get(i, vt))
.asInstanceOf[UTF8String])
}
i += 1
}
}
builder.append("]")
builder.build()
})
case StructType(fields) =>
buildCast[InternalRow](_, row => {
val builder = new UTF8StringBuilder
builder.append("[")
if (row.numFields > 0) {
val st = fields.map(_.dataType)
val toUTF8StringFuncs = st.map(castToString)
if (!row.isNullAt(0)) {
builder.append(toUTF8StringFuncs(0)(row.get(0, st(0))).asInstanceOf[UTF8String])
}
var i = 1
while (i < row.numFields) {
builder.append(",")
if (!row.isNullAt(i)) {
builder.append(" ")
builder.append(toUTF8StringFuncs(i)(row.get(i, st(i))).asInstanceOf[UTF8String])
}
i += 1
}
}
builder.append("]")
builder.build()
})
case pudt: PythonUserDefinedType => castToString(pudt.sqlType)
case udt: UserDefinedType[_] =>
buildCast[Any](_, o => UTF8String.fromString(udt.deserialize(o).toString))
case _ => buildCast[Any](_, o => UTF8String.fromString(o.toString))
}
// BinaryConverter
private[this] def castToBinary(from: DataType): Any => Any = from match {
case StringType => buildCast[UTF8String](_, _.getBytes)
}
// UDFToBoolean
private[this] def castToBoolean(from: DataType): Any => Any = from match {
case StringType =>
buildCast[UTF8String](_, s => {
if (StringUtils.isTrueString(s)) {
true
} else if (StringUtils.isFalseString(s)) {
false
} else {
null
}
})
case TimestampType =>
buildCast[Long](_, t => t != 0)
case DateType =>
// Hive would return null when cast from date to boolean
buildCast[Int](_, d => null)
case LongType =>
buildCast[Long](_, _ != 0)
case IntegerType =>
buildCast[Int](_, _ != 0)
case ShortType =>
buildCast[Short](_, _ != 0)
case ByteType =>
buildCast[Byte](_, _ != 0)
case DecimalType() =>
buildCast[Decimal](_, !_.isZero)
case DoubleType =>
buildCast[Double](_, _ != 0)
case FloatType =>
buildCast[Float](_, _ != 0)
}
// TimestampConverter
private[this] def castToTimestamp(from: DataType): Any => Any = from match {
case StringType =>
buildCast[UTF8String](_, utfs => DateTimeUtils.stringToTimestamp(utfs, timeZone).orNull)
case BooleanType =>
buildCast[Boolean](_, b => if (b) 1L else 0)
case LongType =>
buildCast[Long](_, l => longToTimestamp(l))
case IntegerType =>
buildCast[Int](_, i => longToTimestamp(i.toLong))
case ShortType =>
buildCast[Short](_, s => longToTimestamp(s.toLong))
case ByteType =>
buildCast[Byte](_, b => longToTimestamp(b.toLong))
case DateType =>
buildCast[Int](_, d => DateTimeUtils.daysToMillis(d, timeZone) * 1000)
// TimestampWritable.decimalToTimestamp
case DecimalType() =>
buildCast[Decimal](_, d => decimalToTimestamp(d))
// TimestampWritable.doubleToTimestamp
case DoubleType =>
buildCast[Double](_, d => doubleToTimestamp(d))
// TimestampWritable.floatToTimestamp
case FloatType =>
buildCast[Float](_, f => doubleToTimestamp(f.toDouble))
}
private[this] def decimalToTimestamp(d: Decimal): Long = {
(d.toBigDecimal * 1000000L).longValue()
}
private[this] def doubleToTimestamp(d: Double): Any = {
if (d.isNaN || d.isInfinite) null else (d * 1000000L).toLong
}
// converting seconds to us
private[this] def longToTimestamp(t: Long): Long = t * 1000000L
// converting us to seconds
private[this] def timestampToLong(ts: Long): Long = math.floor(ts.toDouble / 1000000L).toLong
// converting us to seconds in double
private[this] def timestampToDouble(ts: Long): Double = {
ts / 1000000.0
}
// DateConverter
private[this] def castToDate(from: DataType): Any => Any = from match {
case StringType =>
buildCast[UTF8String](_, s => DateTimeUtils.stringToDate(s).orNull)
case TimestampType =>
// throw valid precision more than seconds, according to Hive.
// Timestamp.nanos is in 0 to 999,999,999, no more than a second.
buildCast[Long](_, t => DateTimeUtils.millisToDays(t / 1000L, timeZone))
}
// IntervalConverter
private[this] def castToInterval(from: DataType): Any => Any = from match {
case StringType =>
buildCast[UTF8String](_, s => CalendarInterval.fromString(s.toString))
}
// LongConverter
private[this] def castToLong(from: DataType): Any => Any = from match {
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 =>
b => x.numeric.asInstanceOf[Numeric[Any]].toLong(b)
}
// IntConverter
private[this] def castToInt(from: DataType): Any => Any = from match {
case StringType =>
val result = new IntWrapper()
buildCast[UTF8String](_, s => if (s.toInt(result)) result.value else null)
case BooleanType =>
buildCast[Boolean](_, b => if (b) 1 else 0)
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)
}
// ShortConverter
private[this] def castToShort(from: DataType): Any => Any = from match {
case StringType =>
val result = new IntWrapper()
buildCast[UTF8String](_, s => if (s.toShort(result)) {
result.value.toShort
} else {
null
})
case BooleanType =>
buildCast[Boolean](_, b => if (b) 1.toShort else 0.toShort)
case DateType =>
buildCast[Int](_, d => null)
case TimestampType =>
buildCast[Long](_, t => timestampToLong(t).toShort)
case x: NumericType =>
b => x.numeric.asInstanceOf[Numeric[Any]].toInt(b).toShort
}
// ByteConverter
private[this] def castToByte(from: DataType): Any => Any = from match {
case StringType =>
val result = new IntWrapper()
buildCast[UTF8String](_, s => if (s.toByte(result)) {
result.value.toByte
} else {
null
})
case BooleanType =>
buildCast[Boolean](_, b => if (b) 1.toByte else 0.toByte)
case DateType =>
buildCast[Int](_, d => null)
case TimestampType =>
buildCast[Long](_, t => timestampToLong(t).toByte)
case x: NumericType =>
b => x.numeric.asInstanceOf[Numeric[Any]].toInt(b).toByte
}
/**
* Change the precision / scale in a given decimal to those set in `decimalType` (if any),
* returning null if it overflows or modifying `value` in-place and returning it if successful.
*
* NOTE: this modifies `value` in-place, so don't call it on external data.
*/
private[this] def changePrecision(value: Decimal, decimalType: DecimalType): Decimal = {
if (value.changePrecision(decimalType.precision, decimalType.scale)) value else null
}
/**
* Create new `Decimal` with precision and scale given in `decimalType` (if any),
* returning null if it overflows or creating a new `value` and returning it if successful.
*/
private[this] def toPrecision(value: Decimal, decimalType: DecimalType): Decimal =
value.toPrecision(decimalType.precision, decimalType.scale)
private[this] def castToDecimal(from: DataType, target: DecimalType): Any => Any = from match {
case StringType =>
buildCast[UTF8String](_, s => try {
changePrecision(Decimal(new JavaBigDecimal(s.toString)), target)
} catch {
case _: NumberFormatException => null
})
case BooleanType =>
buildCast[Boolean](_, b => toPrecision(if (b) Decimal.ONE else Decimal.ZERO, target))
case DateType =>
buildCast[Int](_, d => null) // date can't cast to decimal in Hive
case TimestampType =>
// Note that we lose precision here.
buildCast[Long](_, t => changePrecision(Decimal(timestampToDouble(t)), target))
case dt: DecimalType =>
b => toPrecision(b.asInstanceOf[Decimal], target)
case t: IntegralType =>
b => changePrecision(Decimal(t.integral.asInstanceOf[Integral[Any]].toLong(b)), target)
case x: FractionalType =>
b => try {
changePrecision(Decimal(x.fractional.asInstanceOf[Fractional[Any]].toDouble(b)), target)
} catch {
case _: NumberFormatException => null
}
}
// DoubleConverter
private[this] def castToDouble(from: DataType): Any => Any = from match {
case StringType =>
buildCast[UTF8String](_, s => try s.toString.toDouble catch {
case _: NumberFormatException => null
})
case BooleanType =>
buildCast[Boolean](_, b => if (b) 1d else 0d)
case DateType =>
buildCast[Int](_, d => null)
case TimestampType =>
buildCast[Long](_, t => timestampToDouble(t))
case x: NumericType =>
b => x.numeric.asInstanceOf[Numeric[Any]].toDouble(b)
}
// FloatConverter
private[this] def castToFloat(from: DataType): Any => Any = from match {
case StringType =>
buildCast[UTF8String](_, s => try s.toString.toFloat catch {
case _: NumberFormatException => null
})
case BooleanType =>
buildCast[Boolean](_, b => if (b) 1f else 0f)
case DateType =>
buildCast[Int](_, d => null)
case TimestampType =>
buildCast[Long](_, t => timestampToDouble(t).toFloat)
case x: NumericType =>
b => x.numeric.asInstanceOf[Numeric[Any]].toFloat(b)
}
private[this] def castArray(fromType: DataType, toType: DataType): Any => Any = {
val elementCast = cast(fromType, toType)
// TODO: Could be faster?
buildCast[ArrayData](_, array => {
val values = new Array[Any](array.numElements())
array.foreach(fromType, (i, e) => {
if (e == null) {
values(i) = null
} else {
values(i) = elementCast(e)
}
})
new GenericArrayData(values)
})
}
private[this] def castMap(from: MapType, to: MapType): Any => Any = {
val keyCast = castArray(from.keyType, to.keyType)
val valueCast = castArray(from.valueType, to.valueType)
buildCast[MapData](_, map => {
val keys = keyCast(map.keyArray()).asInstanceOf[ArrayData]
val values = valueCast(map.valueArray()).asInstanceOf[ArrayData]
new ArrayBasedMapData(keys, values)
})
}
private[this] def castStruct(from: StructType, to: StructType): Any => Any = {
val castFuncs: Array[(Any) => Any] = from.fields.zip(to.fields).map {
case (fromField, toField) => cast(fromField.dataType, toField.dataType)
}
// TODO: Could be faster?
buildCast[InternalRow](_, row => {
val newRow = new GenericInternalRow(from.fields.length)
var i = 0
while (i < row.numFields) {
newRow.update(i,
if (row.isNullAt(i)) null else castFuncs(i)(row.get(i, from.apply(i).dataType)))
i += 1
}
newRow
})
}
private[this] def cast(from: DataType, to: DataType): Any => Any = {
// If the cast does not change the structure, then we don't really need to cast anything.
// We can return what the children return. Same thing should happen in the codegen path.
if (DataType.equalsStructurally(from, to)) {
identity
} else {
to match {
case dt if dt == from => identity[Any]
case StringType => castToString(from)
case BinaryType => castToBinary(from)
case DateType => castToDate(from)
case decimal: DecimalType => castToDecimal(from, decimal)
case TimestampType => castToTimestamp(from)
case CalendarIntervalType => castToInterval(from)
case BooleanType => castToBoolean(from)
case ByteType => castToByte(from)
case ShortType => castToShort(from)
case IntegerType => castToInt(from)
case FloatType => castToFloat(from)
case LongType => castToLong(from)
case DoubleType => castToDouble(from)
case array: ArrayType =>
castArray(from.asInstanceOf[ArrayType].elementType, array.elementType)
case map: MapType => castMap(from.asInstanceOf[MapType], map)
case struct: StructType => castStruct(from.asInstanceOf[StructType], struct)
case udt: UserDefinedType[_]
if udt.userClass == from.asInstanceOf[UserDefinedType[_]].userClass =>
identity[Any]
case _: UserDefinedType[_] =>
throw new SparkException(s"Cannot cast $from to $to.")
}
}
}
private[this] lazy val cast: Any => Any = cast(child.dataType, dataType)
protected override def nullSafeEval(input: Any): Any = cast(input)
override def genCode(ctx: CodegenContext): ExprCode = {
// If the cast does not change the structure, then we don't really need to cast anything.
// We can return what the children return. Same thing should happen in the interpreted path.
if (DataType.equalsStructurally(child.dataType, dataType)) {
child.genCode(ctx)
} else {
super.genCode(ctx)
}
}
override def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode = {
val eval = child.genCode(ctx)
val nullSafeCast = nullSafeCastFunction(child.dataType, dataType, ctx)
ev.copy(code = eval.code +
castCode(ctx, eval.value, eval.isNull, ev.value, ev.isNull, dataType, nullSafeCast))
}
// The function arguments are: `input`, `result` and `resultIsNull`. We don't need `inputIsNull`
// in parameter list, because the returned code will be put in null safe evaluation region.
private[this] type CastFunction = (String, String, String) => String
private[this] def nullSafeCastFunction(
from: DataType,
to: DataType,
ctx: CodegenContext): CastFunction = to match {
case _ if from == NullType => (c, evPrim, evNull) => s"$evNull = true;"
case _ if to == from => (c, evPrim, evNull) => s"$evPrim = $c;"
case StringType => castToStringCode(from, ctx)
case BinaryType => castToBinaryCode(from)
case DateType => castToDateCode(from, ctx)
case decimal: DecimalType => castToDecimalCode(from, decimal, ctx)
case TimestampType => castToTimestampCode(from, ctx)
case CalendarIntervalType => castToIntervalCode(from)
case BooleanType => castToBooleanCode(from)
case ByteType => castToByteCode(from, ctx)
case ShortType => castToShortCode(from, ctx)
case IntegerType => castToIntCode(from, ctx)
case FloatType => castToFloatCode(from)
case LongType => castToLongCode(from, ctx)
case DoubleType => castToDoubleCode(from)
case array: ArrayType =>
castArrayCode(from.asInstanceOf[ArrayType].elementType, array.elementType, ctx)
case map: MapType => castMapCode(from.asInstanceOf[MapType], map, ctx)
case struct: StructType => castStructCode(from.asInstanceOf[StructType], struct, ctx)
case udt: UserDefinedType[_]
if udt.userClass == from.asInstanceOf[UserDefinedType[_]].userClass =>
(c, evPrim, evNull) => s"$evPrim = $c;"
case _: UserDefinedType[_] =>
throw new SparkException(s"Cannot cast $from to $to.")
}
// Since we need to cast input expressions recursively inside ComplexTypes, such as Map's
// Key and Value, Struct's field, we need to name out all the variable names involved in a cast.
private[this] def castCode(ctx: CodegenContext, input: String, inputIsNull: String,
result: String, resultIsNull: String, resultType: DataType, cast: CastFunction): String = {
s"""
boolean $resultIsNull = $inputIsNull;
${javaType(resultType)} $result = ${defaultValue(resultType)};
if (!$inputIsNull) {
${cast(input, result, resultIsNull)}
}
"""
}
private def writeArrayToStringBuilder(
et: DataType,
array: String,
buffer: String,
ctx: CodegenContext): String = {
val elementToStringCode = castToStringCode(et, ctx)
val funcName = ctx.freshName("elementToString")
val elementToStringFunc = ctx.addNewFunction(funcName,
s"""
|private UTF8String $funcName(${javaType(et)} element) {
| UTF8String elementStr = null;
| ${elementToStringCode("element", "elementStr", null /* resultIsNull won't be used */)}
| return elementStr;
|}
""".stripMargin)
val loopIndex = ctx.freshName("loopIndex")
s"""
|$buffer.append("[");
|if ($array.numElements() > 0) {
| if (!$array.isNullAt(0)) {
| $buffer.append($elementToStringFunc(${ctx.getValue(array, et, "0")}));
| }
| for (int $loopIndex = 1; $loopIndex < $array.numElements(); $loopIndex++) {
| $buffer.append(",");
| if (!$array.isNullAt($loopIndex)) {
| $buffer.append(" ");
| $buffer.append($elementToStringFunc(${ctx.getValue(array, et, loopIndex)}));
| }
| }
|}
|$buffer.append("]");
""".stripMargin
}
private def writeMapToStringBuilder(
kt: DataType,
vt: DataType,
map: String,
buffer: String,
ctx: CodegenContext): String = {
def dataToStringFunc(func: String, dataType: DataType) = {
val funcName = ctx.freshName(func)
val dataToStringCode = castToStringCode(dataType, ctx)
ctx.addNewFunction(funcName,
s"""
|private UTF8String $funcName(${javaType(dataType)} data) {
| UTF8String dataStr = null;
| ${dataToStringCode("data", "dataStr", null /* resultIsNull won't be used */)}
| return dataStr;
|}
""".stripMargin)
}
val keyToStringFunc = dataToStringFunc("keyToString", kt)
val valueToStringFunc = dataToStringFunc("valueToString", vt)
val loopIndex = ctx.freshName("loopIndex")
s"""
|$buffer.append("[");
|if ($map.numElements() > 0) {
| $buffer.append($keyToStringFunc(${ctx.getValue(s"$map.keyArray()", kt, "0")}));
| $buffer.append(" ->");
| if (!$map.valueArray().isNullAt(0)) {
| $buffer.append(" ");
| $buffer.append($valueToStringFunc(${ctx.getValue(s"$map.valueArray()", vt, "0")}));
| }
| for (int $loopIndex = 1; $loopIndex < $map.numElements(); $loopIndex++) {
| $buffer.append(", ");
| $buffer.append($keyToStringFunc(${ctx.getValue(s"$map.keyArray()", kt, loopIndex)}));
| $buffer.append(" ->");
| if (!$map.valueArray().isNullAt($loopIndex)) {
| $buffer.append(" ");
| $buffer.append($valueToStringFunc(
| ${ctx.getValue(s"$map.valueArray()", vt, loopIndex)}));
| }
| }
|}
|$buffer.append("]");
""".stripMargin
}
private def writeStructToStringBuilder(
st: Seq[DataType],
row: String,
buffer: String,
ctx: CodegenContext): String = {
val structToStringCode = st.zipWithIndex.map { case (ft, i) =>
val fieldToStringCode = castToStringCode(ft, ctx)
val field = ctx.freshName("field")
val fieldStr = ctx.freshName("fieldStr")
s"""
|${if (i != 0) s"""$buffer.append(",");""" else ""}
|if (!$row.isNullAt($i)) {
| ${if (i != 0) s"""$buffer.append(" ");""" else ""}
|
| // Append $i field into the string buffer
| ${javaType(ft)} $field = ${ctx.getValue(row, ft, s"$i")};
| UTF8String $fieldStr = null;
| ${fieldToStringCode(field, fieldStr, null /* resultIsNull won't be used */)}
| $buffer.append($fieldStr);
|}
""".stripMargin
}
val writeStructCode = ctx.splitExpressions(
expressions = structToStringCode,
funcName = "fieldToString",
arguments = ("InternalRow", row) :: (classOf[UTF8StringBuilder].getName, buffer) :: Nil)
s"""
|$buffer.append("[");
|$writeStructCode
|$buffer.append("]");
""".stripMargin
}
private[this] def castToStringCode(from: DataType, ctx: CodegenContext): CastFunction = {
from match {
case BinaryType =>
(c, evPrim, evNull) => s"$evPrim = UTF8String.fromBytes($c);"
case DateType =>
(c, evPrim, evNull) => s"""$evPrim = UTF8String.fromString(
org.apache.spark.sql.catalyst.util.DateTimeUtils.dateToString($c));"""
case TimestampType =>
val tz = ctx.addReferenceObj("timeZone", timeZone)
(c, evPrim, evNull) => s"""$evPrim = UTF8String.fromString(
org.apache.spark.sql.catalyst.util.DateTimeUtils.timestampToString($c, $tz));"""
case ArrayType(et, _) =>
(c, evPrim, evNull) => {
val buffer = ctx.freshName("buffer")
val bufferClass = classOf[UTF8StringBuilder].getName
val writeArrayElemCode = writeArrayToStringBuilder(et, c, buffer, ctx)
s"""
|$bufferClass $buffer = new $bufferClass();
|$writeArrayElemCode;
|$evPrim = $buffer.build();
""".stripMargin
}
case MapType(kt, vt, _) =>
(c, evPrim, evNull) => {
val buffer = ctx.freshName("buffer")
val bufferClass = classOf[UTF8StringBuilder].getName
val writeMapElemCode = writeMapToStringBuilder(kt, vt, c, buffer, ctx)
s"""
|$bufferClass $buffer = new $bufferClass();
|$writeMapElemCode;
|$evPrim = $buffer.build();
""".stripMargin
}
case StructType(fields) =>
(c, evPrim, evNull) => {
val row = ctx.freshName("row")
val buffer = ctx.freshName("buffer")
val bufferClass = classOf[UTF8StringBuilder].getName
val writeStructCode = writeStructToStringBuilder(fields.map(_.dataType), row, buffer, ctx)
s"""
|InternalRow $row = $c;
|$bufferClass $buffer = new $bufferClass();
|$writeStructCode
|$evPrim = $buffer.build();
""".stripMargin
}
case pudt: PythonUserDefinedType => castToStringCode(pudt.sqlType, ctx)
case udt: UserDefinedType[_] =>
val udtRef = ctx.addReferenceObj("udt", udt)
(c, evPrim, evNull) => {
s"$evPrim = UTF8String.fromString($udtRef.deserialize($c).toString());"
}
case _ =>
(c, evPrim, evNull) => s"$evPrim = UTF8String.fromString(String.valueOf($c));"
}
}
private[this] def castToBinaryCode(from: DataType): CastFunction = from match {
case StringType =>
(c, evPrim, evNull) => s"$evPrim = $c.getBytes();"
}
private[this] def castToDateCode(
from: DataType,
ctx: CodegenContext): CastFunction = from match {
case StringType =>
val intOpt = ctx.freshName("intOpt")
(c, evPrim, evNull) => s"""
scala.Option<Integer> $intOpt =
org.apache.spark.sql.catalyst.util.DateTimeUtils.stringToDate($c);
if ($intOpt.isDefined()) {
$evPrim = ((Integer) $intOpt.get()).intValue();
} else {
$evNull = true;
}
"""
case TimestampType =>
val tz = ctx.addReferenceObj("timeZone", timeZone)
(c, evPrim, evNull) =>
s"$evPrim = org.apache.spark.sql.catalyst.util.DateTimeUtils.millisToDays($c / 1000L, $tz);"
case _ =>
(c, evPrim, evNull) => s"$evNull = true;"
}
private[this] def changePrecision(d: String, decimalType: DecimalType,
evPrim: String, evNull: String): String =
s"""
if ($d.changePrecision(${decimalType.precision}, ${decimalType.scale})) {
$evPrim = $d;
} else {
$evNull = true;
}
"""
private[this] def castToDecimalCode(
from: DataType,
target: DecimalType,
ctx: CodegenContext): CastFunction = {
val tmp = ctx.freshName("tmpDecimal")
from match {
case StringType =>
(c, evPrim, evNull) =>
s"""
try {
Decimal $tmp = Decimal.apply(new java.math.BigDecimal($c.toString()));
${changePrecision(tmp, target, evPrim, evNull)}
} catch (java.lang.NumberFormatException e) {
$evNull = true;
}
"""
case BooleanType =>
(c, evPrim, evNull) =>
s"""
Decimal $tmp = $c ? Decimal.apply(1) : Decimal.apply(0);
${changePrecision(tmp, target, evPrim, evNull)}
"""
case DateType =>
// date can't cast to decimal in Hive
(c, evPrim, evNull) => s"$evNull = true;"
case TimestampType =>
// Note that we lose precision here.
(c, evPrim, evNull) =>
s"""
Decimal $tmp = Decimal.apply(
scala.math.BigDecimal.valueOf(${timestampToDoubleCode(c)}));
${changePrecision(tmp, target, evPrim, evNull)}
"""
case DecimalType() =>
(c, evPrim, evNull) =>
s"""
Decimal $tmp = $c.clone();
${changePrecision(tmp, target, evPrim, evNull)}
"""
case x: IntegralType =>
(c, evPrim, evNull) =>
s"""
Decimal $tmp = Decimal.apply((long) $c);
${changePrecision(tmp, target, evPrim, evNull)}
"""
case x: FractionalType =>
// All other numeric types can be represented precisely as Doubles
(c, evPrim, evNull) =>
s"""
try {
Decimal $tmp = Decimal.apply(scala.math.BigDecimal.valueOf((double) $c));
${changePrecision(tmp, target, evPrim, evNull)}
} catch (java.lang.NumberFormatException e) {
$evNull = true;
}
"""
}
}
private[this] def castToTimestampCode(
from: DataType,
ctx: CodegenContext): CastFunction = from match {
case StringType =>
val tz = ctx.addReferenceObj("timeZone", timeZone)
val longOpt = ctx.freshName("longOpt")
(c, evPrim, evNull) =>
s"""
scala.Option<Long> $longOpt =
org.apache.spark.sql.catalyst.util.DateTimeUtils.stringToTimestamp($c, $tz);
if ($longOpt.isDefined()) {
$evPrim = ((Long) $longOpt.get()).longValue();
} else {
$evNull = true;
}
"""
case BooleanType =>
(c, evPrim, evNull) => s"$evPrim = $c ? 1L : 0L;"
case _: IntegralType =>
(c, evPrim, evNull) => s"$evPrim = ${longToTimeStampCode(c)};"
case DateType =>
val tz = ctx.addReferenceObj("timeZone", timeZone)
(c, evPrim, evNull) =>
s"$evPrim = org.apache.spark.sql.catalyst.util.DateTimeUtils.daysToMillis($c, $tz) * 1000;"
case DecimalType() =>
(c, evPrim, evNull) => s"$evPrim = ${decimalToTimestampCode(c)};"
case DoubleType =>
(c, evPrim, evNull) =>
s"""
if (Double.isNaN($c) || Double.isInfinite($c)) {
$evNull = true;
} else {
$evPrim = (long)($c * 1000000L);
}
"""
case FloatType =>
(c, evPrim, evNull) =>
s"""
if (Float.isNaN($c) || Float.isInfinite($c)) {
$evNull = true;
} else {
$evPrim = (long)($c * 1000000L);
}
"""
}
private[this] def castToIntervalCode(from: DataType): CastFunction = from match {
case StringType =>
(c, evPrim, evNull) =>
s"""$evPrim = CalendarInterval.fromString($c.toString());
if(${evPrim} == null) {