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Original file line number Diff line number Diff line change
Expand Up @@ -19,15 +19,15 @@ package org.apache.spark.sql.catalyst.analysis

import org.apache.spark.internal.Logging
import org.apache.spark.sql.catalyst.expressions.Cast
import org.apache.spark.sql.catalyst.expressions.postgreSQL.PostgreCastToBoolean
import org.apache.spark.sql.catalyst.expressions.postgreSQL.{PostgreCastToBoolean, PostgreCastToDecimal}
import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
import org.apache.spark.sql.catalyst.rules.Rule
import org.apache.spark.sql.internal.SQLConf
import org.apache.spark.sql.types.{BooleanType, StringType}
import org.apache.spark.sql.types.{BooleanType, DecimalType}

object PostgreSQLDialect {
val postgreSQLDialectRules: List[Rule[LogicalPlan]] =
CastToBoolean ::
CastToBoolean :: CastToDecimal ::
Nil

object CastToBoolean extends Rule[LogicalPlan] with Logging {
Expand All @@ -46,4 +46,24 @@ object PostgreSQLDialect {
}
}
}

object CastToDecimal extends Rule[LogicalPlan] with Logging {
override def apply(plan: LogicalPlan): LogicalPlan = {
// The SQL configuration `spark.sql.dialect` can be changed in runtime.
// To make sure the configuration is effective, we have to check it during rule execution.
val conf = SQLConf.get
if (conf.usePostgreSQLDialect) {
plan.transformExpressions {
case Cast(child, dataType, timeZoneId)
if child.dataType != DecimalType =>
dataType match {
case _: DecimalType => PostgreCastToDecimal(child, timeZoneId)
}
}
} else {
plan
}
}
}

}
Original file line number Diff line number Diff line change
Expand Up @@ -596,7 +596,7 @@ abstract class CastBase extends UnaryExpression with TimeZoneAwareExpression wit
*
* NOTE: this modifies `value` in-place, so don't call it on external data.
*/
private[this] def changePrecision(value: Decimal, decimalType: DecimalType): Decimal = {
protected[this] def changePrecision(value: Decimal, decimalType: DecimalType): Decimal = {
if (value.changePrecision(decimalType.precision, decimalType.scale)) {
value
} else {
Expand All @@ -619,7 +619,7 @@ abstract class CastBase extends UnaryExpression with TimeZoneAwareExpression wit
decimalType.precision, decimalType.scale, Decimal.ROUND_HALF_UP, !ansiEnabled)


private[this] def castToDecimal(from: DataType, target: DecimalType): Any => Any = from match {
protected[this] def castToDecimal(from: DataType, target: DecimalType): Any => Any = from match {
case StringType =>
buildCast[UTF8String](_, s => try {
changePrecision(Decimal(new JavaBigDecimal(s.toString)), target)
Expand Down Expand Up @@ -1073,7 +1073,7 @@ abstract class CastBase extends UnaryExpression with TimeZoneAwareExpression wit
}
}

private[this] def changePrecision(d: ExprValue, decimalType: DecimalType,
protected[this] def changePrecision(d: ExprValue, decimalType: DecimalType,
evPrim: ExprValue, evNull: ExprValue, canNullSafeCast: Boolean): Block = {
if (canNullSafeCast) {
code"""
Expand All @@ -1099,7 +1099,7 @@ abstract class CastBase extends UnaryExpression with TimeZoneAwareExpression wit
}
}

private[this] def castToDecimalCode(
protected[this] def castToDecimalCode(
from: DataType,
target: DecimalType,
ctx: CodegenContext): CastFunction = {
Expand Down
Original file line number Diff line number Diff line change
@@ -0,0 +1,105 @@
/*
* 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.postgreSQL

import java.math.{BigDecimal => JavaBigDecimal}

import org.apache.spark.sql.AnalysisException
import org.apache.spark.sql.catalyst.analysis.TypeCheckResult
import org.apache.spark.sql.catalyst.expressions.{Cast, CastBase, Expression, TimeZoneAwareExpression}
import org.apache.spark.sql.catalyst.expressions.codegen.Block._
import org.apache.spark.sql.catalyst.expressions.codegen.CodegenContext
import org.apache.spark.sql.types._
import org.apache.spark.unsafe.types.UTF8String

case class PostgreCastToDecimal(child: Expression, timeZoneId: Option[String])
extends CastBase {

override def dataType: DataType = DecimalType.defaultConcreteType

override def toString: String = s"PostgreCastToDecimal($child as ${dataType.simpleString})"

override def nullable: Boolean = child.nullable

override protected def ansiEnabled =
throw new UnsupportedOperationException("PostgreSQL dialect doesn't support ansi mode")

override def withTimeZone(timeZoneId: String): TimeZoneAwareExpression =
copy(timeZoneId = Option(timeZoneId))

override def checkInputDataTypes(): TypeCheckResult = child.dataType match {
case StringType | LongType | IntegerType | NullType | FloatType | ShortType |
DoubleType | ByteType =>
TypeCheckResult.TypeCheckSuccess
case _ =>
TypeCheckResult.TypeCheckFailure(s"cannot cast type ${child.dataType} to decimal")
}

override 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 =>
throw new AnalysisException(s"invalid input syntax for type numeric: $s")
})
case t: IntegralType =>
super.castToDecimal(from, target)

case x: FractionalType =>
b => try {
changePrecision(Decimal(x.fractional.asInstanceOf[Fractional[Any]].toDouble(b)), target)
} catch {
case _: NumberFormatException =>
throw new AnalysisException(s"invalid input syntax for type numeric: $x")
}
}

override def castToDecimalCode(from: DataType, target: DecimalType,
ctx: CodegenContext): CastFunction = {
val tmp = ctx.freshVariable("tmpDecimal", classOf[Decimal])
val canNullSafeCast = Cast.canNullSafeCastToDecimal(from, target)
from match {
case StringType =>
(c, evPrim, evNull) =>
code"""
try {
Decimal $tmp = Decimal.apply(new java.math.BigDecimal($c.toString()));
${changePrecision(tmp, target, evPrim, evNull, canNullSafeCast)}
} catch (java.lang.NumberFormatException e) {
throw new AnalysisException("invalid input syntax for type numeric: $c")
}
"""
case t: IntegralType =>
super.castToDecimalCode(from, target, ctx)

case x: FractionalType =>
// All other numeric types can be represented precisely as Doubles
(c, evPrim, evNull) =>
code"""
try {
Decimal $tmp = Decimal.apply(scala.math.BigDecimal.valueOf((double) $c));
${changePrecision(tmp, target, evPrim, evNull, canNullSafeCast)}
} catch (java.lang.NumberFormatException e) {
throw new AnalysisException("invalid input syntax for type numeric: $c")
}
"""
}
}

override def sql: String = s"CAST(${child.sql} AS ${dataType.sql})"
}