[SPARK-8432] [SQL] fix hashCode() and equals() of BinaryType in Row

sql/catalyst/src/main/java/org/apache/spark/sql/BaseRow.java

@@ -155,27 +155,6 @@ public int fieldIndex(String name) {
     throw new UnsupportedOperationException();
   }
 
-  /**
-   * A generic version of Row.equals(Row), which is used for tests.
-   */
-  @Override
-  public boolean equals(Object other) {
-    if (other instanceof Row) {
-      Row row = (Row) other;
-      int n = size();
-      if (n != row.size()) {
-        return false;
-      }
-      for (int i = 0; i < n; i ++) {
-        if (isNullAt(i) != row.isNullAt(i) || (!isNullAt(i) && !get(i).equals(row.get(i)))) {
-          return false;
-        }
-      }
-      return true;
-    }
-    return false;
-  }
-
   @Override
   public InternalRow copy() {
     final int n = size();

sql/catalyst/src/main/scala/org/apache/spark/sql/Row.scala

@@ -17,8 +17,6 @@
 
 package org.apache.spark.sql
 
-import scala.util.hashing.MurmurHash3
-
 import org.apache.spark.sql.catalyst.expressions.GenericRow
 import org.apache.spark.sql.types.StructType
 
@@ -365,36 +363,6 @@ trait Row extends Serializable {
     false
   }
 
-  override def equals(that: Any): Boolean = that match {
-    case null => false
-    case that: Row =>
-      if (this.length != that.length) {
-        return false
-      }
-      var i = 0
-      val len = this.length
-      while (i < len) {
-        if (apply(i) != that.apply(i)) {
-          return false
-        }
-        i += 1
-      }
-      true
-    case _ => false
-  }
-
-  override def hashCode: Int = {
-    // Using Scala's Seq hash code implementation.
-    var n = 0
-    var h = MurmurHash3.seqSeed
-    val len = length
-    while (n < len) {
-      h = MurmurHash3.mix(h, apply(n).##)
-      n += 1
-    }
-    MurmurHash3.finalizeHash(h, n)
-  }
-
   /* ---------------------- utility methods for Scala ---------------------- */
 
   /**

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/InternalRow.scala

@@ -18,15 +18,78 @@
 package org.apache.spark.sql.catalyst
 
 import org.apache.spark.sql.Row
-import org.apache.spark.sql.catalyst.expressions.GenericRow
+import org.apache.spark.sql.catalyst.expressions._
 
 /**
  * An abstract class for row used internal in Spark SQL, which only contain the columns as
  * internal types.
  */
 abstract class InternalRow extends Row {
   // A default implementation to change the return type
-  override def copy(): InternalRow = {this}
+  override def copy(): InternalRow = this
+
+  override def equals(o: Any): Boolean = {
+    if (!o.isInstanceOf[Row]) {
+      return false
+    }
+
+    val other = o.asInstanceOf[Row]
+    if (length != other.length) {
+      return false
+    }
+
+    var i = 0
+    while (i < length) {
+      if (isNullAt(i) != other.isNullAt(i)) {
+        return false
+      }
+      if (!isNullAt(i)) {
+        val o1 = apply(i)
+        val o2 = other.apply(i)
+        if (o1.isInstanceOf[Array[Byte]]) {
+          // handle equality of Array[Byte]
+          val b1 = o1.asInstanceOf[Array[Byte]]
+          if (!o2.isInstanceOf[Array[Byte]] ||
+            !java.util.Arrays.equals(b1, o2.asInstanceOf[Array[Byte]])) {
+            return false
+          }
+        } else if (o1 != o2) {
+          return false
+        }
+      }
+      i += 1
+    }
+    true
+  }
+
+  // Custom hashCode function that matches the efficient code generated version.
+  override def hashCode: Int = {
+    var result: Int = 37
+    var i = 0
+    while (i < length) {
+      val update: Int =
+        if (isNullAt(i)) {
+          0
+        } else {
+          apply(i) match {
+            case b: Boolean => if (b) 0 else 1
+            case b: Byte => b.toInt
+            case s: Short => s.toInt
+            case i: Int => i
+            case l: Long => (l ^ (l >>> 32)).toInt
+            case f: Float => java.lang.Float.floatToIntBits(f)
+            case d: Double =>
+              val b = java.lang.Double.doubleToLongBits(d)
+              (b ^ (b >>> 32)).toInt
+            case a: Array[Byte] => java.util.Arrays.hashCode(a)
+            case other => other.hashCode()
+          }
+        }
+      result = 37 * result + update
+      i += 1
+    }
+    result
+  }
 }
 
 object InternalRow {

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

@@ -127,6 +127,7 @@ object GenerateProjection extends CodeGenerator[Seq[Expression], Projection] {
         case FloatType => s"Float.floatToIntBits($col)"
         case DoubleType =>
             s"(int)(Double.doubleToLongBits($col) ^ (Double.doubleToLongBits($col) >>> 32))"
+        case BinaryType => s"java.util.Arrays.hashCode($col)"
         case _ => s"$col.hashCode()"
       }
       s"isNullAt($i) ? 0 : ($nonNull)"

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/rows.scala

@@ -121,58 +121,6 @@ class GenericRow(protected[sql] val values: Array[Any]) extends InternalRow {
     }
   }
 
-  // TODO(davies): add getDate and getDecimal
-
-  // Custom hashCode function that matches the efficient code generated version.
-  override def hashCode: Int = {
-    var result: Int = 37
-
-    var i = 0
-    while (i < values.length) {
-      val update: Int =
-        if (isNullAt(i)) {
-          0
-        } else {
-          apply(i) match {
-            case b: Boolean => if (b) 0 else 1
-            case b: Byte => b.toInt
-            case s: Short => s.toInt
-            case i: Int => i
-            case l: Long => (l ^ (l >>> 32)).toInt
-            case f: Float => java.lang.Float.floatToIntBits(f)
-            case d: Double =>
-              val b = java.lang.Double.doubleToLongBits(d)
-              (b ^ (b >>> 32)).toInt
-            case other => other.hashCode()
-          }
-        }
-      result = 37 * result + update
-      i += 1
-    }
-    result
-  }
-
-  override def equals(o: Any): Boolean = o match {
-    case other: InternalRow =>
-      if (values.length != other.length) {
-        return false
-      }
-
-      var i = 0
-      while (i < values.length) {
-        if (isNullAt(i) != other.isNullAt(i)) {
-          return false
-        }
-        if (apply(i) != other.apply(i)) {
-          return false
-        }
-        i += 1
-      }
-      true
-
-    case _ => false
-  }
-
   override def copy(): InternalRow = this
 }
 

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

@@ -38,10 +38,23 @@ trait ExpressionEvalHelper {
 
   protected def checkEvaluation(
       expression: Expression, expected: Any, inputRow: InternalRow = EmptyRow): Unit = {
-    checkEvaluationWithoutCodegen(expression, expected, inputRow)
-    checkEvaluationWithGeneratedMutableProjection(expression, expected, inputRow)
-    checkEvaluationWithGeneratedProjection(expression, expected, inputRow)
-    checkEvaluationWithOptimization(expression, expected, inputRow)
+    val catalystValue = CatalystTypeConverters.convertToCatalyst(expected)
+    checkEvaluationWithoutCodegen(expression, catalystValue, inputRow)
+    checkEvaluationWithGeneratedMutableProjection(expression, catalystValue, inputRow)
+    checkEvaluationWithGeneratedProjection(expression, catalystValue, inputRow)
+    checkEvaluationWithOptimization(expression, catalystValue, inputRow)
+  }
+
+  /**
+   * Check the equality between result of expression and expected value, it will handle
+   * Array[Byte].
+   */
+  protected def checkResult(result: Any, expected: Any): Boolean = {
+    (result, expected) match {
+      case (result: Array[Byte], expected: Array[Byte]) =>
+        java.util.Arrays.equals(result, expected)
+      case _ => result == expected
+    }
   }
 
   protected def evaluate(expression: Expression, inputRow: InternalRow = EmptyRow): Any = {
@@ -55,7 +68,7 @@ trait ExpressionEvalHelper {
     val actual = try evaluate(expression, inputRow) catch {
       case e: Exception => fail(s"Exception evaluating $expression", e)
     }
-    if (actual != expected) {
+    if (!checkResult(actual, expected)) {
       val input = if (inputRow == EmptyRow) "" else s", input: $inputRow"
       fail(s"Incorrect evaluation (codegen off): $expression, " +
         s"actual: $actual, " +
@@ -83,7 +96,7 @@ trait ExpressionEvalHelper {
     }
 
     val actual = plan(inputRow).apply(0)
-    if (actual != expected) {
+    if (!checkResult(actual, expected)) {
       val input = if (inputRow == EmptyRow) "" else s", input: $inputRow"
       fail(s"Incorrect Evaluation: $expression, actual: $actual, expected: $expected$input")
     }
@@ -109,7 +122,7 @@ trait ExpressionEvalHelper {
     }
 
     val actual = plan(inputRow)
-    val expectedRow = new GenericRow(Array[Any](CatalystTypeConverters.convertToCatalyst(expected)))
+    val expectedRow = new GenericRow(Array[Any](expected))
     if (actual.hashCode() != expectedRow.hashCode()) {
       fail(
         s"""

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

@@ -18,38 +18,79 @@
 package org.apache.spark.sql.catalyst.expressions
 
 import org.apache.spark.SparkFunSuite
-import org.apache.spark.sql.types.StringType
+import org.apache.spark.sql.types._
 
 
 class LiteralExpressionSuite extends SparkFunSuite with ExpressionEvalHelper {
 
-  // TODO: Add tests for all data types.
+  test("null") {
+    checkEvaluation(Literal.create(null, BooleanType), null)
+    checkEvaluation(Literal.create(null, ByteType), null)
+    checkEvaluation(Literal.create(null, ShortType), null)
+    checkEvaluation(Literal.create(null, IntegerType), null)
+    checkEvaluation(Literal.create(null, LongType), null)
+    checkEvaluation(Literal.create(null, FloatType), null)
+    checkEvaluation(Literal.create(null, LongType), null)
+    checkEvaluation(Literal.create(null, StringType), null)
+    checkEvaluation(Literal.create(null, BinaryType), null)
+    checkEvaluation(Literal.create(null, DecimalType()), null)
+    checkEvaluation(Literal.create(null, ArrayType(ByteType, true)), null)
+    checkEvaluation(Literal.create(null, MapType(StringType, IntegerType)), null)
+    checkEvaluation(Literal.create(null, StructType(Seq.empty)), null)
+  }
 
   test("boolean literals") {
     checkEvaluation(Literal(true), true)
     checkEvaluation(Literal(false), false)
   }
 
   test("int literals") {
-    checkEvaluation(Literal(1), 1)
-    checkEvaluation(Literal(0L), 0L)
+    List(0, 1, Int.MinValue, Int.MaxValue).foreach { d =>
+      checkEvaluation(Literal(d), d)
+      checkEvaluation(Literal(d.toLong), d.toLong)
+      checkEvaluation(Literal(d.toShort), d.toShort)
+      checkEvaluation(Literal(d.toByte), d.toByte)
+    }
+    checkEvaluation(Literal(Long.MinValue), Long.MinValue)
+    checkEvaluation(Literal(Long.MaxValue), Long.MaxValue)
   }
 
   test("double literals") {
-    List(0.0, -0.0, Double.NegativeInfinity, Double.PositiveInfinity).foreach {
-      d => {
-        checkEvaluation(Literal(d), d)
-        checkEvaluation(Literal(d.toFloat), d.toFloat)
-      }
+    List(0.0, -0.0, Double.NegativeInfinity, Double.PositiveInfinity).foreach { d =>
+      checkEvaluation(Literal(d), d)
+      checkEvaluation(Literal(d.toFloat), d.toFloat)
     }
+    checkEvaluation(Literal(Double.MinValue), Double.MinValue)
+    checkEvaluation(Literal(Double.MaxValue), Double.MaxValue)
+    checkEvaluation(Literal(Float.MinValue), Float.MinValue)
+    checkEvaluation(Literal(Float.MaxValue), Float.MaxValue)
+
   }
 
   test("string literals") {
+    checkEvaluation(Literal(""), "")
     checkEvaluation(Literal("test"), "test")
-    checkEvaluation(Literal.create(null, StringType), null)
+    checkEvaluation(Literal("\0"), "\0")
   }
 
   test("sum two literals") {
     checkEvaluation(Add(Literal(1), Literal(1)), 2)
   }
+
+  test("binary literals") {
+    checkEvaluation(Literal.create(new Array[Byte](0), BinaryType), new Array[Byte](0))
+    checkEvaluation(Literal.create(new Array[Byte](2), BinaryType), new Array[Byte](2))
+  }
+
+  test("decimal") {
+    List(0.0, 1.2, 1.1111, 5).foreach { d =>
+      checkEvaluation(Literal(Decimal(d)), Decimal(d))
+      checkEvaluation(Literal(Decimal(d.toInt)), Decimal(d.toInt))
+      checkEvaluation(Literal(Decimal(d.toLong)), Decimal(d.toLong))
+      checkEvaluation(Literal(Decimal((d * 1000L).toLong, 10, 1)),
+        Decimal((d * 1000L).toLong, 10, 1))
+    }
+  }
+
+  // TODO(davies): add tests for ArrayType, MapType and StructType
 }

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

@@ -222,9 +222,6 @@ class StringFunctionsSuite extends SparkFunSuite with ExpressionEvalHelper {
     checkEvaluation(StringLength(regEx), 5, create_row("abdef"))
     checkEvaluation(StringLength(regEx), 0, create_row(""))
     checkEvaluation(StringLength(regEx), null, create_row(null))
-    // TODO currently bug in codegen, let's temporally disable this
-    // checkEvaluation(StringLength(Literal.create(null, StringType)), null, create_row("abdef"))
+    checkEvaluation(StringLength(Literal.create(null, StringType)), null, create_row("abdef"))
   }
-
-
 }