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Cast.scala
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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.time.{ZoneId, ZoneOffset}
import java.util.Locale
import java.util.concurrent.TimeUnit._
import org.apache.spark.SparkArithmeticException
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.Block._
import org.apache.spark.sql.catalyst.trees.{SQLQueryContext, TreeNodeTag}
import org.apache.spark.sql.catalyst.trees.TreePattern._
import org.apache.spark.sql.catalyst.util._
import org.apache.spark.sql.catalyst.util.DateTimeConstants._
import org.apache.spark.sql.catalyst.util.DateTimeUtils._
import org.apache.spark.sql.catalyst.util.IntervalStringStyles.ANSI_STYLE
import org.apache.spark.sql.catalyst.util.IntervalUtils.{dayTimeIntervalToByte, dayTimeIntervalToDecimal, dayTimeIntervalToInt, dayTimeIntervalToLong, dayTimeIntervalToShort, yearMonthIntervalToByte, yearMonthIntervalToInt, yearMonthIntervalToShort}
import org.apache.spark.sql.errors.QueryExecutionErrors
import org.apache.spark.sql.internal.SQLConf
import org.apache.spark.sql.types._
import org.apache.spark.unsafe.UTF8StringBuilder
import org.apache.spark.unsafe.types.{CalendarInterval, UTF8String}
import org.apache.spark.unsafe.types.UTF8String.{IntWrapper, LongWrapper}
object Cast {
/**
* As per section 6.13 "cast specification" in "Information technology — Database languages " +
* "- SQL — Part 2: Foundation (SQL/Foundation)":
* If the <cast operand> is a <value expression>, then the valid combinations of TD and SD
* in a <cast specification> are given by the following table. “Y” indicates that the
* combination is syntactically valid without restriction; “M” indicates that the combination
* is valid subject to other Syntax Rules in this Sub- clause being satisfied; and “N” indicates
* that the combination is not valid:
* SD TD
* EN AN C D T TS YM DT BO UDT B RT CT RW
* EN Y Y Y N N N M M N M N M N N
* AN Y Y Y N N N N N N M N M N N
* C Y Y Y Y Y Y Y Y Y M N M N N
* D N N Y Y N Y N N N M N M N N
* T N N Y N Y Y N N N M N M N N
* TS N N Y Y Y Y N N N M N M N N
* YM M N Y N N N Y N N M N M N N
* DT M N Y N N N N Y N M N M N N
* BO N N Y N N N N N Y M N M N N
* UDT M M M M M M M M M M M M M N
* B N N N N N N N N N M Y M N N
* RT M M M M M M M M M M M M N N
* CT N N N N N N N N N M N N M N
* RW N N N N N N N N N N N N N M
*
* Where:
* EN = Exact Numeric
* AN = Approximate Numeric
* C = Character (Fixed- or Variable-Length, or Character Large Object)
* D = Date
* T = Time
* TS = Timestamp
* YM = Year-Month Interval
* DT = Day-Time Interval
* BO = Boolean
* UDT = User-Defined Type
* B = Binary (Fixed- or Variable-Length or Binary Large Object)
* RT = Reference type
* CT = Collection type
* RW = Row type
*
* Spark's ANSI mode follows the syntax rules, except it specially allow the following
* straightforward type conversions which are disallowed as per the SQL standard:
* - Numeric <=> Boolean
* - String <=> Binary
*/
def canAnsiCast(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 (_: NumericType, BooleanType) => true
case (StringType, TimestampType) => true
case (DateType, TimestampType) => true
case (TimestampNTZType, TimestampType) => true
case (_: NumericType, TimestampType) => true
case (StringType, TimestampNTZType) => true
case (DateType, TimestampNTZType) => true
case (TimestampType, TimestampNTZType) => true
case (StringType, _: CalendarIntervalType) => true
case (StringType, _: AnsiIntervalType) => true
case (_: AnsiIntervalType, _: IntegralType | _: DecimalType) => true
case (_: IntegralType, _: AnsiIntervalType) => true
case (_: DayTimeIntervalType, _: DayTimeIntervalType) => true
case (_: YearMonthIntervalType, _: YearMonthIntervalType) => true
case (StringType, DateType) => true
case (TimestampType, DateType) => true
case (TimestampNTZType, DateType) => true
case (_: NumericType, _: NumericType) => true
case (StringType, _: NumericType) => true
case (BooleanType, _: NumericType) => true
case (TimestampType, _: NumericType) => true
case (ArrayType(fromType, fn), ArrayType(toType, tn)) =>
canAnsiCast(fromType, toType) && resolvableNullability(fn, tn)
case (MapType(fromKey, fromValue, fn), MapType(toKey, toValue, tn)) =>
canAnsiCast(fromKey, toKey) && canAnsiCast(fromValue, toValue) &&
resolvableNullability(fn, tn)
case (StructType(fromFields), StructType(toFields)) =>
fromFields.length == toFields.length &&
fromFields.zip(toFields).forall {
case (fromField, toField) =>
canAnsiCast(fromField.dataType, toField.dataType) &&
resolvableNullability(fromField.nullable, toField.nullable)
}
case (udt1: UserDefinedType[_], udt2: UserDefinedType[_]) if udt2.acceptsType(udt1) => true
case _ => false
}
/**
* A tag to identify if a CAST added by the table insertion resolver.
*/
val BY_TABLE_INSERTION = TreeNodeTag[Unit]("by_table_insertion")
/**
* A tag to decide if a CAST is specified by user.
*/
val USER_SPECIFIED_CAST = new TreeNodeTag[Boolean]("user_specified_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 (_: IntegralType, 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 (TimestampNTZType, TimestampType) => true
case (StringType, TimestampNTZType) => true
case (DateType, TimestampNTZType) => true
case (TimestampType, TimestampNTZType) => true
case (StringType, DateType) => true
case (TimestampType, DateType) => true
case (TimestampNTZType, DateType) => true
case (StringType, CalendarIntervalType) => true
case (StringType, _: DayTimeIntervalType) => true
case (StringType, _: YearMonthIntervalType) => true
case (_: IntegralType, DayTimeIntervalType(s, e)) if s == e => true
case (_: IntegralType, YearMonthIntervalType(s, e)) if s == e => true
case (_: DayTimeIntervalType, _: DayTimeIntervalType) => true
case (_: YearMonthIntervalType, _: YearMonthIntervalType) => true
case (_: AnsiIntervalType, _: IntegralType | _: DecimalType) => true
case (_: IntegralType, _: AnsiIntervalType) => 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 udt2.acceptsType(udt1) => 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 | DateType) => true
case (TimestampType | DateType, StringType) => true
case (DateType, TimestampType) => 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
}
/**
* Returns true iff we can safely up-cast the `from` type to `to` type without any truncating or
* precision lose or possible runtime failures. For example, long -> int, string -> int are not
* up-cast.
*/
def canUpCast(from: DataType, to: DataType): Boolean = (from, to) match {
case _ if from == to => true
case (from: NumericType, to: DecimalType) if to.isWiderThan(from) => true
case (from: DecimalType, to: NumericType) if from.isTighterThan(to) => true
case (f, t) if legalNumericPrecedence(f, t) => true
case (DateType, TimestampType) => true
case (_: AtomicType, StringType) => true
case (_: CalendarIntervalType, StringType) => true
case (NullType, _) => true
// Spark supports casting between long and timestamp, please see `longToTimestamp` and
// `timestampToLong` for details.
case (TimestampType, LongType) => true
case (LongType, TimestampType) => true
case (ArrayType(fromType, fn), ArrayType(toType, tn)) =>
resolvableNullability(fn, tn) && canUpCast(fromType, toType)
case (MapType(fromKey, fromValue, fn), MapType(toKey, toValue, tn)) =>
resolvableNullability(fn, tn) && canUpCast(fromKey, toKey) && canUpCast(fromValue, toValue)
case (StructType(fromFields), StructType(toFields)) =>
fromFields.length == toFields.length &&
fromFields.zip(toFields).forall {
case (f1, f2) =>
resolvableNullability(f1.nullable, f2.nullable) && canUpCast(f1.dataType, f2.dataType)
}
case (_: DayTimeIntervalType, _: DayTimeIntervalType) => true
case (_: YearMonthIntervalType, _: YearMonthIntervalType) => true
case (from: UserDefinedType[_], to: UserDefinedType[_]) if to.acceptsType(from) => true
case _ => false
}
/**
* Returns true iff we can cast the `from` type to `to` type as per the ANSI SQL.
* In practice, the behavior is mostly the same as PostgreSQL. It disallows certain unreasonable
* type conversions such as converting `string` to `int` or `double` to `boolean`.
*/
def canANSIStoreAssign(from: DataType, to: DataType): Boolean = (from, to) match {
case _ if from == to => true
case (NullType, _) => true
case (_: NumericType, _: NumericType) => true
case (_: AtomicType, StringType) => true
case (_: CalendarIntervalType, StringType) => true
case (_: DatetimeType, _: DatetimeType) => true
case (ArrayType(fromType, fn), ArrayType(toType, tn)) =>
resolvableNullability(fn, tn) && canANSIStoreAssign(fromType, toType)
case (MapType(fromKey, fromValue, fn), MapType(toKey, toValue, tn)) =>
resolvableNullability(fn, tn) && canANSIStoreAssign(fromKey, toKey) &&
canANSIStoreAssign(fromValue, toValue)
case (StructType(fromFields), StructType(toFields)) =>
fromFields.length == toFields.length &&
fromFields.zip(toFields).forall {
case (f1, f2) =>
resolvableNullability(f1.nullable, f2.nullable) &&
canANSIStoreAssign(f1.dataType, f2.dataType)
}
case _ => false
}
private def legalNumericPrecedence(from: DataType, to: DataType): Boolean = {
val fromPrecedence = TypeCoercion.numericPrecedence.indexOf(from)
val toPrecedence = TypeCoercion.numericPrecedence.indexOf(to)
fromPrecedence >= 0 && fromPrecedence < toPrecedence
}
def canNullSafeCastToDecimal(from: DataType, to: DecimalType): Boolean = from match {
case from: BooleanType if to.isWiderThan(DecimalType.BooleanDecimal) => true
case from: NumericType if to.isWiderThan(from) => true
case from: DecimalType =>
// truncating or precision lose
(to.precision - to.scale) > (from.precision - from.scale)
case _ => false // overflow
}
/**
* Returns `true` if casting non-nullable values from `from` type to `to` type
* may return null. Note that the caller side should take care of input nullability
* first and only call this method if the input is not nullable.
*/
def forceNullable(from: DataType, to: DataType): Boolean = (from, to) match {
case (NullType, _) => false // empty array or map case
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 (_, to: DecimalType) if !canNullSafeCastToDecimal(from, to) => true
case (_: FractionalType, _: IntegralType) => true // NaN, infinity
case _ => false
}
def resolvableNullability(from: Boolean, to: Boolean): Boolean = !from || to
/**
* We process literals such as 'Infinity', 'Inf', '-Infinity' and 'NaN' etc in case
* insensitive manner to be compatible with other database systems such as PostgreSQL and DB2.
*/
def processFloatingPointSpecialLiterals(v: String, isFloat: Boolean): Any = {
v.trim.toLowerCase(Locale.ROOT) match {
case "inf" | "+inf" | "infinity" | "+infinity" =>
if (isFloat) Float.PositiveInfinity else Double.PositiveInfinity
case "-inf" | "-infinity" =>
if (isFloat) Float.NegativeInfinity else Double.NegativeInfinity
case "nan" =>
if (isFloat) Float.NaN else Double.NaN
case _ => null
}
}
// Show suggestion on how to complete the disallowed explicit casting with built-in type
// conversion functions.
private def suggestionOnConversionFunctions (
from: DataType,
to: DataType,
functionNames: String): String = {
// scalastyle:off line.size.limit
s"""cannot cast ${from.catalogString} to ${to.catalogString}.
|To convert values from ${from.catalogString} to ${to.catalogString}, you can use $functionNames instead.
|""".stripMargin
// scalastyle:on line.size.limit
}
def typeCheckFailureMessage(
from: DataType,
to: DataType,
fallbackConf: Option[(String, String)]): String =
(from, to) match {
case (_: NumericType, TimestampType) =>
suggestionOnConversionFunctions(from, to,
"functions TIMESTAMP_SECONDS/TIMESTAMP_MILLIS/TIMESTAMP_MICROS")
case (TimestampType, _: NumericType) =>
suggestionOnConversionFunctions(from, to, "functions UNIX_SECONDS/UNIX_MILLIS/UNIX_MICROS")
case (_: NumericType, DateType) =>
suggestionOnConversionFunctions(from, to, "function DATE_FROM_UNIX_DATE")
case (DateType, _: NumericType) =>
suggestionOnConversionFunctions(from, to, "function UNIX_DATE")
// scalastyle:off line.size.limit
case _ if fallbackConf.isDefined && Cast.canCast(from, to) =>
s"""
| cannot cast ${from.catalogString} to ${to.catalogString} with ANSI mode on.
| If you have to cast ${from.catalogString} to ${to.catalogString}, you can set ${fallbackConf.get._1} as ${fallbackConf.get._2}.
|""".stripMargin
// scalastyle:on line.size.limit
case _ => s"cannot cast ${from.catalogString} to ${to.catalogString}"
}
}
/**
* 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
""",
since = "1.0.0",
group = "conversion_funcs")
case class Cast(
child: Expression,
dataType: DataType,
timeZoneId: Option[String] = None,
ansiEnabled: Boolean = SQLConf.get.ansiEnabled) extends UnaryExpression
with TimeZoneAwareExpression with NullIntolerant with SupportQueryContext {
def this(child: Expression, dataType: DataType, timeZoneId: Option[String]) =
this(child, dataType, timeZoneId, ansiEnabled = SQLConf.get.ansiEnabled)
override def withTimeZone(timeZoneId: String): TimeZoneAwareExpression =
copy(timeZoneId = Option(timeZoneId))
override protected def withNewChildInternal(newChild: Expression): Cast = copy(child = newChild)
final override def nodePatternsInternal(): Seq[TreePattern] = Seq(CAST)
private def typeCheckFailureMessage: String = if (ansiEnabled) {
if (getTagValue(Cast.BY_TABLE_INSERTION).isDefined) {
Cast.typeCheckFailureMessage(child.dataType, dataType,
Some(SQLConf.STORE_ASSIGNMENT_POLICY.key -> SQLConf.StoreAssignmentPolicy.LEGACY.toString))
} else {
Cast.typeCheckFailureMessage(child.dataType, dataType,
Some(SQLConf.ANSI_ENABLED.key -> "false"))
}
} else {
s"cannot cast ${child.dataType.catalogString} to ${dataType.catalogString}"
}
override def checkInputDataTypes(): TypeCheckResult = {
if (ansiEnabled && Cast.canAnsiCast(child.dataType, dataType)) {
TypeCheckResult.TypeCheckSuccess
} else if (!ansiEnabled && Cast.canCast(child.dataType, dataType)) {
TypeCheckResult.TypeCheckSuccess
} else {
TypeCheckResult.TypeCheckFailure(typeCheckFailureMessage)
}
}
override def nullable: Boolean = child.nullable || Cast.forceNullable(child.dataType, dataType)
override def initQueryContext(): Option[SQLQueryContext] = if (ansiEnabled) {
Some(origin.context)
} else {
None
}
// When this cast involves TimeZone, it's only resolved if the timeZoneId is set;
// Otherwise behave like Expression.resolved.
override lazy val resolved: Boolean =
childrenResolved && checkInputDataTypes().isSuccess && (!needsTimeZone || timeZoneId.isDefined)
override lazy val preCanonicalized: Expression = {
val basic = withNewChildren(Seq(child.preCanonicalized)).asInstanceOf[Cast]
if (timeZoneId.isDefined && !needsTimeZone) {
basic.withTimeZone(null)
} else {
basic
}
}
def needsTimeZone: Boolean = Cast.needsTimeZone(child.dataType, dataType)
// [[func]] assumes the input is no longer null because eval already does the null check.
@inline protected[this] def buildCast[T](a: Any, func: T => Any): Any = func(a.asInstanceOf[T])
private lazy val dateFormatter = DateFormatter()
private lazy val timestampFormatter = TimestampFormatter.getFractionFormatter(zoneId)
private lazy val timestampNTZFormatter =
TimestampFormatter.getFractionFormatter(ZoneOffset.UTC)
private val legacyCastToStr = SQLConf.get.getConf(SQLConf.LEGACY_COMPLEX_TYPES_TO_STRING)
// The brackets that are used in casting structs and maps to strings
private val (leftBracket, rightBracket) = if (legacyCastToStr) ("[", "]") else ("{", "}")
// The class name of `DateTimeUtils`
protected def dateTimeUtilsCls: String = DateTimeUtils.getClass.getName.stripSuffix("$")
// UDFToString
private[this] def castToString(from: DataType): Any => Any = from match {
case CalendarIntervalType =>
buildCast[CalendarInterval](_, i => UTF8String.fromString(i.toString))
case BinaryType => buildCast[Array[Byte]](_, UTF8String.fromBytes)
case DateType => buildCast[Int](_, d => UTF8String.fromString(dateFormatter.format(d)))
case TimestampType => buildCast[Long](_,
t => UTF8String.fromString(timestampFormatter.format(t)))
case TimestampNTZType => buildCast[Long](_,
t => UTF8String.fromString(timestampNTZFormatter.format(t)))
case ArrayType(et, _) =>
buildCast[ArrayData](_, array => {
val builder = new UTF8StringBuilder
builder.append("[")
if (array.numElements > 0) {
val toUTF8String = castToString(et)
if (array.isNullAt(0)) {
if (!legacyCastToStr) builder.append("null")
} else {
builder.append(toUTF8String(array.get(0, et)).asInstanceOf[UTF8String])
}
var i = 1
while (i < array.numElements) {
builder.append(",")
if (array.isNullAt(i)) {
if (!legacyCastToStr) builder.append(" null")
} else {
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(leftBracket)
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)) {
if (!legacyCastToStr) builder.append(" null")
} else {
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)) {
if (!legacyCastToStr) builder.append(" null")
} else {
builder.append(" ")
builder.append(valueToUTF8String(valueArray.get(i, vt))
.asInstanceOf[UTF8String])
}
i += 1
}
}
builder.append(rightBracket)
builder.build()
})
case StructType(fields) =>
buildCast[InternalRow](_, row => {
val builder = new UTF8StringBuilder
builder.append(leftBracket)
if (row.numFields > 0) {
val st = fields.map(_.dataType)
val toUTF8StringFuncs = st.map(castToString)
if (row.isNullAt(0)) {
if (!legacyCastToStr) builder.append("null")
} else {
builder.append(toUTF8StringFuncs(0)(row.get(0, st(0))).asInstanceOf[UTF8String])
}
var i = 1
while (i < row.numFields) {
builder.append(",")
if (row.isNullAt(i)) {
if (!legacyCastToStr) builder.append(" null")
} else {
builder.append(" ")
builder.append(toUTF8StringFuncs(i)(row.get(i, st(i))).asInstanceOf[UTF8String])
}
i += 1
}
}
builder.append(rightBracket)
builder.build()
})
case pudt: PythonUserDefinedType => castToString(pudt.sqlType)
case udt: UserDefinedType[_] =>
buildCast[Any](_, o => UTF8String.fromString(udt.deserialize(o).toString))
case YearMonthIntervalType(startField, endField) =>
buildCast[Int](_, i => UTF8String.fromString(
IntervalUtils.toYearMonthIntervalString(i, ANSI_STYLE, startField, endField)))
case DayTimeIntervalType(startField, endField) =>
buildCast[Long](_, i => UTF8String.fromString(
IntervalUtils.toDayTimeIntervalString(i, ANSI_STYLE, startField, endField)))
// In ANSI mode, Spark always use plain string representation on casting Decimal values
// as strings. Otherwise, the casting is using `BigDecimal.toString` which may use scientific
// notation if an exponent is needed.
case _: DecimalType if ansiEnabled =>
buildCast[Decimal](_, d => UTF8String.fromString(d.toPlainString))
case _ => buildCast[Any](_, o => UTF8String.fromString(o.toString))
}
// BinaryConverter
private[this] def castToBinary(from: DataType): Any => Any = from match {
case StringType => buildCast[UTF8String](_, _.getBytes)
case ByteType => buildCast[Byte](_, NumberConverter.toBinary)
case ShortType => buildCast[Short](_, NumberConverter.toBinary)
case IntegerType => buildCast[Int](_, NumberConverter.toBinary)
case LongType => buildCast[Long](_, NumberConverter.toBinary)
}
// 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 {
if (ansiEnabled) {
throw QueryExecutionErrors.invalidInputSyntaxForBooleanError(s, getContextOrNull())
} 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 => {
if (ansiEnabled) {
DateTimeUtils.stringToTimestampAnsi(utfs, zoneId, getContextOrNull())
} else {
DateTimeUtils.stringToTimestamp(utfs, zoneId).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 => daysToMicros(d, zoneId))
case TimestampNTZType =>
buildCast[Long](_, ts => convertTz(ts, zoneId, ZoneOffset.UTC))
// TimestampWritable.decimalToTimestamp
case DecimalType() =>
buildCast[Decimal](_, d => decimalToTimestamp(d))
// TimestampWritable.doubleToTimestamp
case DoubleType =>
if (ansiEnabled) {
buildCast[Double](_, d => doubleToTimestampAnsi(d, getContextOrNull()))
} else {
buildCast[Double](_, d => doubleToTimestamp(d))
}
// TimestampWritable.floatToTimestamp
case FloatType =>
if (ansiEnabled) {
buildCast[Float](_, f => doubleToTimestampAnsi(f.toDouble, getContextOrNull()))
} else {
buildCast[Float](_, f => doubleToTimestamp(f.toDouble))
}
}
private[this] def castToTimestampNTZ(from: DataType): Any => Any = from match {
case StringType =>
buildCast[UTF8String](_, utfs => {
if (ansiEnabled) {
DateTimeUtils.stringToTimestampWithoutTimeZoneAnsi(utfs, getContextOrNull())
} else {
DateTimeUtils.stringToTimestampWithoutTimeZone(utfs).orNull
}
})
case DateType =>
buildCast[Int](_, d => daysToMicros(d, ZoneOffset.UTC))
case TimestampType =>
buildCast[Long](_, ts => convertTz(ts, ZoneOffset.UTC, zoneId))
}
private[this] def decimalToTimestamp(d: Decimal): Long = {
(d.toBigDecimal * MICROS_PER_SECOND).longValue
}
private[this] def doubleToTimestamp(d: Double): Any = {
if (d.isNaN || d.isInfinite) null else (d * MICROS_PER_SECOND).toLong
}
// converting seconds to us
private[this] def longToTimestamp(t: Long): Long = SECONDS.toMicros(t)
// converting us to seconds
private[this] def timestampToLong(ts: Long): Long = {
Math.floorDiv(ts, MICROS_PER_SECOND)
}
// converting us to seconds in double
private[this] def timestampToDouble(ts: Long): Double = {
ts / MICROS_PER_SECOND.toDouble
}
// DateConverter
private[this] def castToDate(from: DataType): Any => Any = from match {
case StringType =>
if (ansiEnabled) {
buildCast[UTF8String](_, s => DateTimeUtils.stringToDateAnsi(s, getContextOrNull()))
} else {
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 => microsToDays(t, zoneId))
case TimestampNTZType =>
buildCast[Long](_, t => microsToDays(t, ZoneOffset.UTC))
}
// IntervalConverter
private[this] def castToInterval(from: DataType): Any => Any = from match {
case StringType =>
buildCast[UTF8String](_, s => IntervalUtils.safeStringToInterval(s))
}
private[this] def castToDayTimeInterval(
from: DataType,
it: DayTimeIntervalType): Any => Any = from match {
case StringType => buildCast[UTF8String](_, s =>
IntervalUtils.castStringToDTInterval(s, it.startField, it.endField))
case _: DayTimeIntervalType => buildCast[Long](_, s =>
IntervalUtils.durationToMicros(IntervalUtils.microsToDuration(s), it.endField))
case x: IntegralType =>
if (x == LongType) {
b => IntervalUtils.longToDayTimeInterval(
x.integral.asInstanceOf[Integral[Any]].toLong(b), it.endField)
} else {
b => IntervalUtils.intToDayTimeInterval(
x.integral.asInstanceOf[Integral[Any]].toInt(b), it.endField)
}
}
private[this] def castToYearMonthInterval(
from: DataType,
it: YearMonthIntervalType): Any => Any = from match {
case StringType => buildCast[UTF8String](_, s =>
IntervalUtils.castStringToYMInterval(s, it.startField, it.endField))
case _: YearMonthIntervalType => buildCast[Int](_, s =>
IntervalUtils.periodToMonths(IntervalUtils.monthsToPeriod(s), it.endField))
case x: IntegralType =>
if (x == LongType) {
b => IntervalUtils.longToYearMonthInterval(
x.integral.asInstanceOf[Integral[Any]].toLong(b), it.endField)
} else {
b => IntervalUtils.intToYearMonthInterval(
x.integral.asInstanceOf[Integral[Any]].toInt(b), it.endField)
}
}
// 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)
}
// IntConverter
private[this] def castToInt(from: DataType): Any => Any = from match {
case StringType if ansiEnabled =>
buildCast[UTF8String](_, v => UTF8StringUtils.toIntExact(v, getContextOrNull()))
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 if ansiEnabled =>
buildCast[Long](_, t => {
val longValue = timestampToLong(t)
if (longValue == longValue.toInt) {
longValue.toInt
} else {
throw QueryExecutionErrors.castingCauseOverflowError(t, from, IntegerType)
}
})
case TimestampType =>
buildCast[Long](_, t => timestampToLong(t).toInt)
case x: NumericType if ansiEnabled =>
b => x.exactNumeric.asInstanceOf[Numeric[Any]].toInt(b)
case x: NumericType =>
b => x.numeric.asInstanceOf[Numeric[Any]].toInt(b)
case x: DayTimeIntervalType =>
buildCast[Long](_, i => dayTimeIntervalToInt(i, x.startField, x.endField))
case x: YearMonthIntervalType =>
buildCast[Int](_, i => yearMonthIntervalToInt(i, x.startField, x.endField))
}
// ShortConverter
private[this] def castToShort(from: DataType): Any => Any = from match {
case StringType if ansiEnabled =>
buildCast[UTF8String](_, v => UTF8StringUtils.toShortExact(v, getContextOrNull()))
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 if ansiEnabled =>
buildCast[Long](_, t => {
val longValue = timestampToLong(t)
if (longValue == longValue.toShort) {
longValue.toShort
} else {
throw QueryExecutionErrors.castingCauseOverflowError(t, from, ShortType)
}
})
case TimestampType =>
buildCast[Long](_, t => timestampToLong(t).toShort)
case x: NumericType if ansiEnabled =>
b =>
val intValue = try {
x.exactNumeric.asInstanceOf[Numeric[Any]].toInt(b)
} catch {
case _: ArithmeticException =>
throw QueryExecutionErrors.castingCauseOverflowError(b, from, ShortType)
}
if (intValue == intValue.toShort) {
intValue.toShort
} else {
throw QueryExecutionErrors.castingCauseOverflowError(b, from, ShortType)
}
case x: NumericType =>
b => x.numeric.asInstanceOf[Numeric[Any]].toInt(b).toShort
case x: DayTimeIntervalType =>
buildCast[Long](_, i => dayTimeIntervalToShort(i, x.startField, x.endField))
case x: YearMonthIntervalType =>
buildCast[Int](_, i => yearMonthIntervalToShort(i, x.startField, x.endField))
}
// ByteConverter
private[this] def castToByte(from: DataType): Any => Any = from match {
case StringType if ansiEnabled =>
buildCast[UTF8String](_, v => UTF8StringUtils.toByteExact(v, getContextOrNull()))
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 if ansiEnabled =>
buildCast[Long](_, t => {
val longValue = timestampToLong(t)
if (longValue == longValue.toByte) {
longValue.toByte
} else {
throw QueryExecutionErrors.castingCauseOverflowError(t, from, ByteType)
}
})
case TimestampType =>
buildCast[Long](_, t => timestampToLong(t).toByte)
case x: NumericType if ansiEnabled =>
b =>
val intValue = try {
x.exactNumeric.asInstanceOf[Numeric[Any]].toInt(b)
} catch {
case _: ArithmeticException =>
throw QueryExecutionErrors.castingCauseOverflowError(b, from, ByteType)
}
if (intValue == intValue.toByte) {
intValue.toByte
} else {
throw QueryExecutionErrors.castingCauseOverflowError(b, from, ByteType)
}
case x: NumericType =>
b => x.numeric.asInstanceOf[Numeric[Any]].toInt(b).toByte
case x: DayTimeIntervalType =>
buildCast[Long](_, i => dayTimeIntervalToByte(i, x.startField, x.endField))
case x: YearMonthIntervalType =>
buildCast[Int](_, i => yearMonthIntervalToByte(i, x.startField, x.endField))
}
/**
* Change the precision / scale in a given decimal to those set in `decimalType` (if any),
* modifying `value` in-place and returning it if successful. If an overflow occurs, it
* either returns null or throws an exception according to the value set for
* `spark.sql.ansi.enabled`.
*
* NOTE: this modifies `value` in-place, so don't call it on external data.
*/
private[this] def changePrecision(value: Decimal, decimalType: DecimalType): Decimal = {
changePrecision(value, decimalType, !ansiEnabled)
}
private[this] def changePrecision(
value: Decimal,
decimalType: DecimalType,
nullOnOverflow: Boolean): Decimal = {
if (value.changePrecision(decimalType.precision, decimalType.scale)) {
value
} else {
if (nullOnOverflow) {
null
} else {
throw QueryExecutionErrors.cannotChangeDecimalPrecisionError(
value, decimalType.precision, decimalType.scale, getContextOrNull())
}
}
}
/**
* Create new `Decimal` with precision and scale given in `decimalType` (if any).
* If overflow occurs, if `spark.sql.ansi.enabled` is false, null is returned;
* otherwise, an `ArithmeticException` is thrown.
*/
private[this] def toPrecision(
value: Decimal,