[SPARK-32764][SQL] -0.0 should be equal to 0.0

### What changes were proposed in this pull request?

This is a Spark 3.0 regression introduced by #26761. We missed a corner case that `java.lang.Double.compare` treats 0.0 and -0.0 as different, which breaks SQL semantic.

This PR adds back the `OrderingUtil`, to provide custom compare methods that take care of 0.0 vs -0.0

### Why are the changes needed?

Fix a correctness bug.

### Does this PR introduce _any_ user-facing change?

Yes, now `SELECT  0.0 > -0.0` returns false correctly as Spark 2.x.

### How was this patch tested?

new tests

Closes #29647 from cloud-fan/float.

Authored-by: Wenchen Fan <[email protected]>
Signed-off-by: Dongjoon Hyun <[email protected]>

Author: cloud-fan

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/codegen/CodeGenerator.scala

@@ -38,7 +38,7 @@ import org.apache.spark.metrics.source.CodegenMetrics
 import org.apache.spark.sql.catalyst.InternalRow
 import org.apache.spark.sql.catalyst.expressions._
 import org.apache.spark.sql.catalyst.expressions.codegen.Block._
-import org.apache.spark.sql.catalyst.util.{ArrayData, GenericArrayData, MapData}
+import org.apache.spark.sql.catalyst.util.{ArrayData, GenericArrayData, MapData, SQLOrderingUtil}
 import org.apache.spark.sql.catalyst.util.DateTimeConstants.NANOS_PER_MILLIS
 import org.apache.spark.sql.catalyst.util.DateTimeUtils._
 import org.apache.spark.sql.internal.SQLConf
@@ -624,8 +624,12 @@ class CodegenContext extends Logging {
   def genComp(dataType: DataType, c1: String, c2: String): String = dataType match {
     // java boolean doesn't support > or < operator
     case BooleanType => s"($c1 == $c2 ? 0 : ($c1 ? 1 : -1))"
-    case DoubleType => s"java.lang.Double.compare($c1, $c2)"
-    case FloatType => s"java.lang.Float.compare($c1, $c2)"
+    case DoubleType =>
+      val clsName = SQLOrderingUtil.getClass.getName.stripSuffix("$")
+      s"$clsName.compareDoubles($c1, $c2)"
+    case FloatType =>
+      val clsName = SQLOrderingUtil.getClass.getName.stripSuffix("$")
+      s"$clsName.compareFloats($c1, $c2)"
     // use c1 - c2 may overflow
     case dt: DataType if isPrimitiveType(dt) => s"($c1 > $c2 ? 1 : $c1 < $c2 ? -1 : 0)"
     case BinaryType => s"org.apache.spark.sql.catalyst.util.TypeUtils.compareBinary($c1, $c2)"

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/SQLOrderingUtil.scala

@@ -0,0 +1,41 @@
+/*
+ * 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.util
+
+object SQLOrderingUtil {
+
+  /**
+   * A special version of double comparison that follows SQL semantic:
+   *  1. NaN == NaN
+   *  2. NaN is greater than any non-NaN double
+   *  3. -0.0 == 0.0
+   */
+  def compareDoubles(x: Double, y: Double): Int = {
+    if (x == y) 0 else java.lang.Double.compare(x, y)
+  }
+
+  /**
+   * A special version of float comparison that follows SQL semantic:
+   *  1. NaN == NaN
+   *  2. NaN is greater than any non-NaN float
+   *  3. -0.0 == 0.0
+   */
+  def compareFloats(x: Float, y: Float): Int = {
+    if (x == y) 0 else java.lang.Float.compare(x, y)
+  }
+}

sql/catalyst/src/main/scala/org/apache/spark/sql/types/DoubleType.scala

@@ -22,6 +22,7 @@ import scala.reflect.runtime.universe.typeTag
 import scala.util.Try
 
 import org.apache.spark.annotation.Stable
+import org.apache.spark.sql.catalyst.util.SQLOrderingUtil
 
 /**
  * The data type representing `Double` values. Please use the singleton `DataTypes.DoubleType`.
@@ -38,7 +39,7 @@ class DoubleType private() extends FractionalType {
   private[sql] val numeric = implicitly[Numeric[Double]]
   private[sql] val fractional = implicitly[Fractional[Double]]
   private[sql] val ordering =
-    (x: Double, y: Double) => java.lang.Double.compare(x, y)
+    (x: Double, y: Double) => SQLOrderingUtil.compareDoubles(x, y)
   private[sql] val asIntegral = DoubleType.DoubleAsIfIntegral
 
   override private[sql] def exactNumeric = DoubleExactNumeric

sql/catalyst/src/main/scala/org/apache/spark/sql/types/FloatType.scala

@@ -22,6 +22,7 @@ import scala.reflect.runtime.universe.typeTag
 import scala.util.Try
 
 import org.apache.spark.annotation.Stable
+import org.apache.spark.sql.catalyst.util.SQLOrderingUtil
 
 /**
  * The data type representing `Float` values. Please use the singleton `DataTypes.FloatType`.
@@ -38,7 +39,7 @@ class FloatType private() extends FractionalType {
   private[sql] val numeric = implicitly[Numeric[Float]]
   private[sql] val fractional = implicitly[Fractional[Float]]
   private[sql] val ordering =
-    (x: Float, y: Float) => java.lang.Float.compare(x, y)
+    (x: Float, y: Float) => SQLOrderingUtil.compareFloats(x, y)
   private[sql] val asIntegral = FloatType.FloatAsIfIntegral
 
   override private[sql] def exactNumeric = FloatExactNumeric

sql/catalyst/src/main/scala/org/apache/spark/sql/types/numerics.scala

@@ -20,6 +20,7 @@ package org.apache.spark.sql.types
 import scala.math.Numeric._
 import scala.math.Ordering
 
+import org.apache.spark.sql.catalyst.util.SQLOrderingUtil
 import org.apache.spark.sql.types.Decimal.DecimalIsConflicted
 
 private[sql] object ByteExactNumeric extends ByteIsIntegral with Ordering.ByteOrdering {
@@ -148,7 +149,7 @@ private[sql] object FloatExactNumeric extends FloatIsFractional {
     }
   }
 
-  override def compare(x: Float, y: Float): Int = java.lang.Float.compare(x, y)
+  override def compare(x: Float, y: Float): Int = SQLOrderingUtil.compareFloats(x, y)
 }
 
 private[sql] object DoubleExactNumeric extends DoubleIsFractional {
@@ -176,7 +177,7 @@ private[sql] object DoubleExactNumeric extends DoubleIsFractional {
     }
   }
 
-  override def compare(x: Double, y: Double): Int = java.lang.Double.compare(x, y)
+  override def compare(x: Double, y: Double): Int = SQLOrderingUtil.compareDoubles(x, y)
 }
 
 private[sql] object DecimalExactNumeric extends DecimalIsConflicted {

sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/PredicateSuite.scala

@@ -538,4 +538,20 @@ class PredicateSuite extends SparkFunSuite with ExpressionEvalHelper {
     val inSet = InSet(BoundReference(0, IntegerType, true), Set.empty)
     checkEvaluation(inSet, false, row)
   }
+
+  test("SPARK-32764: compare special double/float values") {
+    checkEvaluation(EqualTo(Literal(Double.NaN), Literal(Double.NaN)), true)
+    checkEvaluation(EqualTo(Literal(Double.NaN), Literal(Double.PositiveInfinity)), false)
+    checkEvaluation(EqualTo(Literal(0.0D), Literal(-0.0D)), true)
+    checkEvaluation(GreaterThan(Literal(Double.NaN), Literal(Double.PositiveInfinity)), true)
+    checkEvaluation(GreaterThan(Literal(Double.NaN), Literal(Double.NaN)), false)
+    checkEvaluation(GreaterThan(Literal(0.0D), Literal(-0.0D)), false)
+
+    checkEvaluation(EqualTo(Literal(Float.NaN), Literal(Float.NaN)), true)
+    checkEvaluation(EqualTo(Literal(Float.NaN), Literal(Float.PositiveInfinity)), false)
+    checkEvaluation(EqualTo(Literal(0.0F), Literal(-0.0F)), true)
+    checkEvaluation(GreaterThan(Literal(Float.NaN), Literal(Float.PositiveInfinity)), true)
+    checkEvaluation(GreaterThan(Literal(Float.NaN), Literal(Float.NaN)), false)
+    checkEvaluation(GreaterThan(Literal(0.0F), Literal(-0.0F)), false)
+  }
 }

sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/util/SQLOrderingUtilSuite.scala

@@ -0,0 +1,75 @@
+/*
+ * 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.util
+
+import java.lang.{Double => JDouble, Float => JFloat}
+
+import org.apache.spark.SparkFunSuite
+
+class SQLOrderingUtilSuite extends SparkFunSuite {
+
+  test("compareDoublesSQL") {
+    def shouldMatchDefaultOrder(a: Double, b: Double): Unit = {
+      assert(SQLOrderingUtil.compareDoubles(a, b) === JDouble.compare(a, b))
+      assert(SQLOrderingUtil.compareDoubles(b, a) === JDouble.compare(b, a))
+    }
+    shouldMatchDefaultOrder(0d, 0d)
+    shouldMatchDefaultOrder(0d, 1d)
+    shouldMatchDefaultOrder(-1d, 1d)
+    shouldMatchDefaultOrder(Double.MinValue, Double.MaxValue)
+
+    val specialNaN = JDouble.longBitsToDouble(0x7ff1234512345678L)
+    assert(JDouble.isNaN(specialNaN))
+    assert(JDouble.doubleToRawLongBits(Double.NaN) != JDouble.doubleToRawLongBits(specialNaN))
+
+    assert(SQLOrderingUtil.compareDoubles(Double.NaN, Double.NaN) === 0)
+    assert(SQLOrderingUtil.compareDoubles(Double.NaN, specialNaN) === 0)
+    assert(SQLOrderingUtil.compareDoubles(Double.NaN, Double.PositiveInfinity) > 0)
+    assert(SQLOrderingUtil.compareDoubles(specialNaN, Double.PositiveInfinity) > 0)
+    assert(SQLOrderingUtil.compareDoubles(Double.NaN, Double.NegativeInfinity) > 0)
+    assert(SQLOrderingUtil.compareDoubles(Double.PositiveInfinity, Double.NaN) < 0)
+    assert(SQLOrderingUtil.compareDoubles(Double.NegativeInfinity, Double.NaN) < 0)
+    assert(SQLOrderingUtil.compareDoubles(0.0d, -0.0d) === 0)
+    assert(SQLOrderingUtil.compareDoubles(-0.0d, 0.0d) === 0)
+  }
+
+  test("compareFloatsSQL") {
+    def shouldMatchDefaultOrder(a: Float, b: Float): Unit = {
+      assert(SQLOrderingUtil.compareFloats(a, b) === JFloat.compare(a, b))
+      assert(SQLOrderingUtil.compareFloats(b, a) === JFloat.compare(b, a))
+    }
+    shouldMatchDefaultOrder(0f, 0f)
+    shouldMatchDefaultOrder(0f, 1f)
+    shouldMatchDefaultOrder(-1f, 1f)
+    shouldMatchDefaultOrder(Float.MinValue, Float.MaxValue)
+
+    val specialNaN = JFloat.intBitsToFloat(-6966608)
+    assert(JFloat.isNaN(specialNaN))
+    assert(JFloat.floatToRawIntBits(Float.NaN) != JFloat.floatToRawIntBits(specialNaN))
+
+    assert(SQLOrderingUtil.compareDoubles(Float.NaN, Float.NaN) === 0)
+    assert(SQLOrderingUtil.compareDoubles(Float.NaN, specialNaN) === 0)
+    assert(SQLOrderingUtil.compareDoubles(Float.NaN, Float.PositiveInfinity) > 0)
+    assert(SQLOrderingUtil.compareDoubles(specialNaN, Float.PositiveInfinity) > 0)
+    assert(SQLOrderingUtil.compareDoubles(Float.NaN, Float.NegativeInfinity) > 0)
+    assert(SQLOrderingUtil.compareDoubles(Float.PositiveInfinity, Float.NaN) < 0)
+    assert(SQLOrderingUtil.compareDoubles(Float.NegativeInfinity, Float.NaN) < 0)
+    assert(SQLOrderingUtil.compareDoubles(0.0f, -0.0f) === 0)
+    assert(SQLOrderingUtil.compareDoubles(-0.0f, 0.0f) === 0)
+  }
+}

sql/core/src/test/scala/org/apache/spark/sql/DataFrameSuite.scala

@@ -2550,6 +2550,11 @@ class DataFrameSuite extends QueryTest
   test("SPARK-32761: aggregating multiple distinct CONSTANT columns") {
      checkAnswer(sql("select count(distinct 2), count(distinct 2,3)"), Row(1, 1))
   }
+
+  test("SPARK-32764: -0.0 and 0.0 should be equal") {
+    val df = Seq(0.0 -> -0.0).toDF("pos", "neg")
+    checkAnswer(df.select($"pos" > $"neg"), Row(false))
+  }
 }
 
 case class GroupByKey(a: Int, b: Int)