[SPARK-15094][SPARK-14803][SQL] Remove extra Project added in EliminateSerialization

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/Optimizer.scala

@@ -102,7 +102,8 @@ abstract class Optimizer(sessionCatalog: SessionCatalog, conf: CatalystConf)
       SimplifyCasts,
       SimplifyCaseConversionExpressions,
       RewriteCorrelatedScalarSubquery,
-      EliminateSerialization) ::
+      EliminateSerialization,
+      RemoveAliasOnlyProject) ::
     Batch("Decimal Optimizations", fixedPoint,
       DecimalAggregates) ::
     Batch("Typed Filter Optimization", fixedPoint,
@@ -155,6 +156,49 @@ object SamplePushDown extends Rule[LogicalPlan] {
   }
 }
 
+/**
+ * Removes the Project only conducting Alias of its child node.
+ * It is created mainly for removing extra Project added in EliminateSerialization rule,
+ * but can also benefit other operators.
+ */
+object RemoveAliasOnlyProject extends Rule[LogicalPlan] {
+  // Check if projectList in the Project node has the same attribute names and ordering
+  // as its child node.
+  private def isAliasOnly(
+      projectList: Seq[NamedExpression],
+      childOutput: Seq[Attribute]): Boolean = {
+    if (!projectList.forall(_.isInstanceOf[Alias]) || projectList.length != childOutput.length) {
+      return false
+    } else {
+      projectList.map(_.asInstanceOf[Alias]).zip(childOutput).forall { case (a, o) =>
+        a.child match {
+          case attr: Attribute if a.name == attr.name && attr.semanticEquals(o) => true
+          case _ => false
+        }
+      }
+    }
+  }
+
+  def apply(plan: LogicalPlan): LogicalPlan = {
+    val aliasOnlyProject = plan.find { p =>
+      p match {
+        case Project(pList, child) if isAliasOnly(pList, child.output) => true
+        case _ => false
+      }
+    }
+
+    aliasOnlyProject.map { case p: Project =>
+      val aliases = p.projectList.map(_.asInstanceOf[Alias])
+      val attrMap = AttributeMap(aliases.map(a => (a.toAttribute, a.child)))
+      plan.transformAllExpressions {
+        case a: Attribute if attrMap.contains(a) => attrMap(a)
+      }.transform {
+        case op: Project if op.eq(p) => op.child
+      }
+    }.getOrElse(plan)
+  }
+}
+
 /**
  * Removes cases where we are unnecessarily going between the object and serialized (InternalRow)
  * representation of data item.  For example back to back map operations.
@@ -163,15 +207,11 @@ object EliminateSerialization extends Rule[LogicalPlan] {
   def apply(plan: LogicalPlan): LogicalPlan = plan transform {
     case d @ DeserializeToObject(_, _, s: SerializeFromObject)
         if d.outputObjectType == s.inputObjectType =>
-      // A workaround for SPARK-14803. Remove this after it is fixed.
-      if (d.outputObjectType.isInstanceOf[ObjectType] &&
-          d.outputObjectType.asInstanceOf[ObjectType].cls == classOf[org.apache.spark.sql.Row]) {
-        s.child
-      } else {
-        // Adds an extra Project here, to preserve the output expr id of `DeserializeToObject`.
-        val objAttr = Alias(s.child.output.head, "obj")(exprId = d.output.head.exprId)
-        Project(objAttr :: Nil, s.child)
-      }
+      // Adds an extra Project here, to preserve the output expr id of `DeserializeToObject`.
+      // We will remove it later in RemoveAliasOnlyProject rule.
+      val objAttr =
+        Alias(s.child.output.head, s.child.output.head.name)(exprId = d.output.head.exprId)
+      Project(objAttr :: Nil, s.child)
     case a @ AppendColumns(_, _, _, s: SerializeFromObject)
         if a.deserializer.dataType == s.inputObjectType =>
       AppendColumnsWithObject(a.func, s.serializer, a.serializer, s.child)

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

@@ -659,6 +659,16 @@ class DatasetSuite extends QueryTest with SharedSQLContext {
     checkDataset(DatasetTransform.addOne(dataset), 2, 3, 4)
   }
 
+  test("dataset.rdd with generic case class") {
+    val ds = Seq(Generic(1, 1.0), Generic(2, 2.0)).toDS
+    val ds2 = ds.map(g => Generic(g.id, g.value))
+    assert(ds.rdd.map(r => r.id).count === 2)
+    assert(ds2.rdd.map(r => r.id).count === 2)
+
+    val ds3 = ds.map(g => new java.lang.Long(g.id))
+    assert(ds3.rdd.map(r => r).count === 2)
+  }
+
   test("runtime null check for RowEncoder") {
     val schema = new StructType().add("i", IntegerType, nullable = false)
     val df = sqlContext.range(10).map(l => {
@@ -676,6 +686,8 @@ class DatasetSuite extends QueryTest with SharedSQLContext {
   }
 }
 
+case class Generic[T](id: T, value: Double)
+
 case class OtherTuple(_1: String, _2: Int)
 
 case class TupleClass(data: (Int, String))