diff options
101 files changed, 34768 insertions, 34 deletions
diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala index 5e42b409dc..7b543b6c2a 100644 --- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala +++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala @@ -17,6 +17,8 @@ package org.apache.spark.sql.catalyst.analysis +import scala.collection.mutable.ArrayBuffer + import org.apache.spark.util.collection.OpenHashSet import org.apache.spark.sql.AnalysisException import org.apache.spark.sql.catalyst.expressions._ @@ -61,6 +63,7 @@ class Analyzer( ResolveGenerate :: ImplicitGenerate :: ResolveFunctions :: + ExtractWindowExpressions :: GlobalAggregates :: UnresolvedHavingClauseAttributes :: TrimGroupingAliases :: @@ -529,6 +532,203 @@ class Analyzer( makeGeneratorOutput(p.generator, p.generatorOutput), p.child) } } + + /** + * Extracts [[WindowExpression]]s from the projectList of a [[Project]] operator and + * aggregateExpressions of an [[Aggregate]] operator and creates individual [[Window]] + * operators for every distinct [[WindowSpecDefinition]]. + * + * This rule handles three cases: + * - A [[Project]] having [[WindowExpression]]s in its projectList; + * - An [[Aggregate]] having [[WindowExpression]]s in its aggregateExpressions. + * - An [[Filter]]->[[Aggregate]] pattern representing GROUP BY with a HAVING + * clause and the [[Aggregate]] has [[WindowExpression]]s in its aggregateExpressions. + * Note: If there is a GROUP BY clause in the query, aggregations and corresponding + * filters (expressions in the HAVING clause) should be evaluated before any + * [[WindowExpression]]. If a query has SELECT DISTINCT, the DISTINCT part should be + * evaluated after all [[WindowExpression]]s. + * + * For every case, the transformation works as follows: + * 1. For a list of [[Expression]]s (a projectList or an aggregateExpressions), partitions + * it two lists of [[Expression]]s, one for all [[WindowExpression]]s and another for + * all regular expressions. + * 2. For all [[WindowExpression]]s, groups them based on their [[WindowSpecDefinition]]s. + * 3. For every distinct [[WindowSpecDefinition]], creates a [[Window]] operator and inserts + * it into the plan tree. + */ + object ExtractWindowExpressions extends Rule[LogicalPlan] { + def hasWindowFunction(projectList: Seq[NamedExpression]): Boolean = + projectList.exists(hasWindowFunction) + + def hasWindowFunction(expr: NamedExpression): Boolean = { + expr.find { + case window: WindowExpression => true + case _ => false + }.isDefined + } + + /** + * From a Seq of [[NamedExpression]]s, extract window expressions and + * other regular expressions. + */ + def extract( + expressions: Seq[NamedExpression]): (Seq[NamedExpression], Seq[NamedExpression]) = { + // First, we simple partition the input expressions to two part, one having + // WindowExpressions and another one without WindowExpressions. + val (windowExpressions, regularExpressions) = expressions.partition(hasWindowFunction) + + // Then, we need to extract those regular expressions used in the WindowExpression. + // For example, when we have col1 - Sum(col2 + col3) OVER (PARTITION BY col4 ORDER BY col5), + // we need to make sure that col1 to col5 are all projected from the child of the Window + // operator. + val extractedExprBuffer = new ArrayBuffer[NamedExpression]() + def extractExpr(expr: Expression): Expression = expr match { + case ne: NamedExpression => + // If a named expression is not in regularExpressions, add extract it and replace it + // with an AttributeReference. + val missingExpr = + AttributeSet(Seq(expr)) -- (regularExpressions ++ extractedExprBuffer) + if (missingExpr.nonEmpty) { + extractedExprBuffer += ne + } + ne.toAttribute + case e: Expression if e.foldable => + e // No need to create an attribute reference if it will be evaluated as a Literal. + case e: Expression => + // For other expressions, we extract it and replace it with an AttributeReference (with + // an interal column name, e.g. "_w0"). + val withName = Alias(e, s"_w${extractedExprBuffer.length}")() + extractedExprBuffer += withName + withName.toAttribute + } + + // Now, we extract expressions from windowExpressions by using extractExpr. + val newWindowExpressions = windowExpressions.map { + _.transform { + // Extracts children expressions of a WindowFunction (input parameters of + // a WindowFunction). + case wf : WindowFunction => + val newChildren = wf.children.map(extractExpr(_)) + wf.withNewChildren(newChildren) + + // Extracts expressions from the partition spec and order spec. + case wsc @ WindowSpecDefinition(partitionSpec, orderSpec, _) => + val newPartitionSpec = partitionSpec.map(extractExpr(_)) + val newOrderSpec = orderSpec.map { so => + val newChild = extractExpr(so.child) + so.copy(child = newChild) + } + wsc.copy(partitionSpec = newPartitionSpec, orderSpec = newOrderSpec) + + // Extracts AggregateExpression. For example, for SUM(x) - Sum(y) OVER (...), + // we need to extract SUM(x). + case agg: AggregateExpression => + val withName = Alias(agg, s"_w${extractedExprBuffer.length}")() + extractedExprBuffer += withName + withName.toAttribute + }.asInstanceOf[NamedExpression] + } + + (newWindowExpressions, regularExpressions ++ extractedExprBuffer) + } + + /** + * Adds operators for Window Expressions. Every Window operator handles a single Window Spec. + */ + def addWindow(windowExpressions: Seq[NamedExpression], child: LogicalPlan): LogicalPlan = { + // First, we group window expressions based on their Window Spec. + val groupedWindowExpression = windowExpressions.groupBy { expr => + val windowExpression = expr.find { + case window: WindowExpression => true + case other => false + }.map(_.asInstanceOf[WindowExpression].windowSpec) + windowExpression.getOrElse( + failAnalysis(s"$windowExpressions does not have any WindowExpression.")) + }.toSeq + + // For every Window Spec, we add a Window operator and set currentChild as the child of it. + var currentChild = child + var i = 0 + while (i < groupedWindowExpression.size) { + val (windowSpec, windowExpressions) = groupedWindowExpression(i) + // Set currentChild to the newly created Window operator. + currentChild = Window(currentChild.output, windowExpressions, windowSpec, currentChild) + + // Move to next WindowExpression. + i += 1 + } + + // We return the top operator. + currentChild + } + + // We have to use transformDown at here to make sure the rule of + // "Aggregate with Having clause" will be triggered. + def apply(plan: LogicalPlan): LogicalPlan = plan transformDown { + // Lookup WindowSpecDefinitions. This rule works with unresolved children. + case WithWindowDefinition(windowDefinitions, child) => + child.transform { + case plan => plan.transformExpressions { + case UnresolvedWindowExpression(c, WindowSpecReference(windowName)) => + val errorMessage = + s"Window specification $windowName is not defined in the WINDOW clause." + val windowSpecDefinition = + windowDefinitions + .get(windowName) + .getOrElse(failAnalysis(errorMessage)) + WindowExpression(c, windowSpecDefinition) + } + } + + // Aggregate with Having clause. This rule works with an unresolved Aggregate because + // a resolved Aggregate will not have Window Functions. + case f @ Filter(condition, a @ Aggregate(groupingExprs, aggregateExprs, child)) + if child.resolved && + hasWindowFunction(aggregateExprs) && + !a.expressions.exists(!_.resolved) => + val (windowExpressions, aggregateExpressions) = extract(aggregateExprs) + // Create an Aggregate operator to evaluate aggregation functions. + val withAggregate = Aggregate(groupingExprs, aggregateExpressions, child) + // Add a Filter operator for conditions in the Having clause. + val withFilter = Filter(condition, withAggregate) + val withWindow = addWindow(windowExpressions, withFilter) + + // Finally, generate output columns according to the original projectList. + val finalProjectList = aggregateExprs.map (_.toAttribute) + Project(finalProjectList, withWindow) + + case p: LogicalPlan if !p.childrenResolved => p + + // Aggregate without Having clause. + case a @ Aggregate(groupingExprs, aggregateExprs, child) + if hasWindowFunction(aggregateExprs) && + !a.expressions.exists(!_.resolved) => + val (windowExpressions, aggregateExpressions) = extract(aggregateExprs) + // Create an Aggregate operator to evaluate aggregation functions. + val withAggregate = Aggregate(groupingExprs, aggregateExpressions, child) + // Add Window operators. + val withWindow = addWindow(windowExpressions, withAggregate) + + // Finally, generate output columns according to the original projectList. + val finalProjectList = aggregateExprs.map (_.toAttribute) + Project(finalProjectList, withWindow) + + // We only extract Window Expressions after all expressions of the Project + // have been resolved. + case p @ Project(projectList, child) + if hasWindowFunction(projectList) && !p.expressions.exists(!_.resolved) => + val (windowExpressions, regularExpressions) = extract(projectList) + // We add a project to get all needed expressions for window expressions from the child + // of the original Project operator. + val withProject = Project(regularExpressions, child) + // Add Window operators. + val withWindow = addWindow(windowExpressions, withProject) + + // Finally, generate output columns according to the original projectList. + val finalProjectList = projectList.map (_.toAttribute) + Project(finalProjectList, withWindow) + } + } } /** diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala index 2381689e17..c8288c6767 100644 --- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala +++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/CheckAnalysis.scala @@ -70,6 +70,11 @@ trait CheckAnalysis { failAnalysis( s"invalid expression ${b.prettyString} " + s"between ${b.left.simpleString} and ${b.right.simpleString}") + + case w @ WindowExpression(windowFunction, windowSpec) if windowSpec.validate.nonEmpty => + // The window spec is not valid. + val reason = windowSpec.validate.get + failAnalysis(s"Window specification $windowSpec is not valid because $reason") } operator match { diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Projection.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Projection.scala index c2866cd955..8cae548279 100644 --- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Projection.scala +++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Projection.scala @@ -548,3 +548,97 @@ class JoinedRow5 extends Row { } } } + +/** + * JIT HACK: Replace with macros + */ +class JoinedRow6 extends Row { + private[this] var row1: Row = _ + private[this] var row2: Row = _ + + def this(left: Row, right: Row) = { + this() + row1 = left + row2 = right + } + + /** Updates this JoinedRow to used point at two new base rows. Returns itself. */ + def apply(r1: Row, r2: Row): Row = { + row1 = r1 + row2 = r2 + this + } + + /** Updates this JoinedRow by updating its left base row. Returns itself. */ + def withLeft(newLeft: Row): Row = { + row1 = newLeft + this + } + + /** Updates this JoinedRow by updating its right base row. Returns itself. */ + def withRight(newRight: Row): Row = { + row2 = newRight + this + } + + override def toSeq: Seq[Any] = row1.toSeq ++ row2.toSeq + + override def length: Int = row1.length + row2.length + + override def apply(i: Int): Any = + if (i < row1.length) row1(i) else row2(i - row1.length) + + override def isNullAt(i: Int): Boolean = + if (i < row1.length) row1.isNullAt(i) else row2.isNullAt(i - row1.length) + + override def getInt(i: Int): Int = + if (i < row1.length) row1.getInt(i) else row2.getInt(i - row1.length) + + override def getLong(i: Int): Long = + if (i < row1.length) row1.getLong(i) else row2.getLong(i - row1.length) + + override def getDouble(i: Int): Double = + if (i < row1.length) row1.getDouble(i) else row2.getDouble(i - row1.length) + + override def getBoolean(i: Int): Boolean = + if (i < row1.length) row1.getBoolean(i) else row2.getBoolean(i - row1.length) + + override def getShort(i: Int): Short = + if (i < row1.length) row1.getShort(i) else row2.getShort(i - row1.length) + + override def getByte(i: Int): Byte = + if (i < row1.length) row1.getByte(i) else row2.getByte(i - row1.length) + + override def getFloat(i: Int): Float = + if (i < row1.length) row1.getFloat(i) else row2.getFloat(i - row1.length) + + override def getString(i: Int): String = + if (i < row1.length) row1.getString(i) else row2.getString(i - row1.length) + + override def getAs[T](i: Int): T = + if (i < row1.length) row1.getAs[T](i) else row2.getAs[T](i - row1.length) + + override def copy(): Row = { + val totalSize = row1.length + row2.length + val copiedValues = new Array[Any](totalSize) + var i = 0 + while(i < totalSize) { + copiedValues(i) = apply(i) + i += 1 + } + new GenericRow(copiedValues) + } + + override def toString: String = { + // Make sure toString never throws NullPointerException. + if ((row1 eq null) && (row2 eq null)) { + "[ empty row ]" + } else if (row1 eq null) { + row2.mkString("[", ",", "]") + } else if (row2 eq null) { + row1.mkString("[", ",", "]") + } else { + mkString("[", ",", "]") + } + } +} diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/windowExpressions.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/windowExpressions.scala new file mode 100644 index 0000000000..099d67ca7f --- /dev/null +++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/windowExpressions.scala @@ -0,0 +1,340 @@ +/* + * 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 org.apache.spark.sql.catalyst.analysis.UnresolvedException +import org.apache.spark.sql.catalyst.errors.TreeNodeException +import org.apache.spark.sql.catalyst.expressions._ +import org.apache.spark.sql.types.{NumericType, DataType} + +/** + * The trait of the Window Specification (specified in the OVER clause or WINDOW clause) for + * Window Functions. + */ +sealed trait WindowSpec + +/** + * The specification for a window function. + * @param partitionSpec It defines the way that input rows are partitioned. + * @param orderSpec It defines the ordering of rows in a partition. + * @param frameSpecification It defines the window frame in a partition. + */ +case class WindowSpecDefinition( + partitionSpec: Seq[Expression], + orderSpec: Seq[SortOrder], + frameSpecification: WindowFrame) extends Expression with WindowSpec { + + def validate: Option[String] = frameSpecification match { + case UnspecifiedFrame => + Some("Found a UnspecifiedFrame. It should be converted to a SpecifiedWindowFrame " + + "during analysis. Please file a bug report.") + case frame: SpecifiedWindowFrame => frame.validate.orElse { + def checkValueBasedBoundaryForRangeFrame(): Option[String] = { + if (orderSpec.length > 1) { + // It is not allowed to have a value-based PRECEDING and FOLLOWING + // as the boundary of a Range Window Frame. + Some("This Range Window Frame only accepts at most one ORDER BY expression.") + } else if (orderSpec.nonEmpty && !orderSpec.head.dataType.isInstanceOf[NumericType]) { + Some("The data type of the expression in the ORDER BY clause should be a numeric type.") + } else { + None + } + } + + (frame.frameType, frame.frameStart, frame.frameEnd) match { + case (RangeFrame, vp: ValuePreceding, _) => checkValueBasedBoundaryForRangeFrame() + case (RangeFrame, vf: ValueFollowing, _) => checkValueBasedBoundaryForRangeFrame() + case (RangeFrame, _, vp: ValuePreceding) => checkValueBasedBoundaryForRangeFrame() + case (RangeFrame, _, vf: ValueFollowing) => checkValueBasedBoundaryForRangeFrame() + case (_, _, _) => None + } + } + } + + type EvaluatedType = Any + + override def children: Seq[Expression] = partitionSpec ++ orderSpec + + override lazy val resolved: Boolean = + childrenResolved && frameSpecification.isInstanceOf[SpecifiedWindowFrame] + + + override def toString: String = simpleString + + override def eval(input: Row): EvaluatedType = throw new UnsupportedOperationException + override def nullable: Boolean = true + override def foldable: Boolean = false + override def dataType: DataType = throw new UnsupportedOperationException +} + +/** + * A Window specification reference that refers to the [[WindowSpecDefinition]] defined + * under the name `name`. + */ +case class WindowSpecReference(name: String) extends WindowSpec + +/** + * The trait used to represent the type of a Window Frame. + */ +sealed trait FrameType + +/** + * RowFrame treats rows in a partition individually. When a [[ValuePreceding]] + * or a [[ValueFollowing]] is used as its [[FrameBoundary]], the value is considered + * as a physical offset. + * For example, `ROW BETWEEN 1 PRECEDING AND 1 FOLLOWING` represents a 3-row frame, + * from the row precedes the current row to the row follows the current row. + */ +case object RowFrame extends FrameType + +/** + * RangeFrame treats rows in a partition as groups of peers. + * All rows having the same `ORDER BY` ordering are considered as peers. + * When a [[ValuePreceding]] or a [[ValueFollowing]] is used as its [[FrameBoundary]], + * the value is considered as a logical offset. + * For example, assuming the value of the current row's `ORDER BY` expression `expr` is `v`, + * `RANGE BETWEEN 1 PRECEDING AND 1 FOLLOWING` represents a frame containing rows whose values + * `expr` are in the range of [v-1, v+1]. + * + * If `ORDER BY` clause is not defined, all rows in the partition is considered as peers + * of the current row. + */ +case object RangeFrame extends FrameType + +/** + * The trait used to represent the type of a Window Frame Boundary. + */ +sealed trait FrameBoundary { + def notFollows(other: FrameBoundary): Boolean +} + +/** UNBOUNDED PRECEDING boundary. */ +case object UnboundedPreceding extends FrameBoundary { + def notFollows(other: FrameBoundary): Boolean = other match { + case UnboundedPreceding => true + case vp: ValuePreceding => true + case CurrentRow => true + case vf: ValueFollowing => true + case UnboundedFollowing => true + } + + override def toString: String = "UNBOUNDED PRECEDING" +} + +/** <value> PRECEDING boundary. */ +case class ValuePreceding(value: Int) extends FrameBoundary { + def notFollows(other: FrameBoundary): Boolean = other match { + case UnboundedPreceding => false + case ValuePreceding(anotherValue) => value >= anotherValue + case CurrentRow => true + case vf: ValueFollowing => true + case UnboundedFollowing => true + } + + override def toString: String = s"$value PRECEDING" +} + +/** CURRENT ROW boundary. */ +case object CurrentRow extends FrameBoundary { + def notFollows(other: FrameBoundary): Boolean = other match { + case UnboundedPreceding => false + case vp: ValuePreceding => false + case CurrentRow => true + case vf: ValueFollowing => true + case UnboundedFollowing => true + } + + override def toString: String = "CURRENT ROW" +} + +/** <value> FOLLOWING boundary. */ +case class ValueFollowing(value: Int) extends FrameBoundary { + def notFollows(other: FrameBoundary): Boolean = other match { + case UnboundedPreceding => false + case vp: ValuePreceding => false + case CurrentRow => false + case ValueFollowing(anotherValue) => value <= anotherValue + case UnboundedFollowing => true + } + + override def toString: String = s"$value FOLLOWING" +} + +/** UNBOUNDED FOLLOWING boundary. */ +case object UnboundedFollowing extends FrameBoundary { + def notFollows(other: FrameBoundary): Boolean = other match { + case UnboundedPreceding => false + case vp: ValuePreceding => false + case CurrentRow => false + case vf: ValueFollowing => false + case UnboundedFollowing => true + } + + override def toString: String = "UNBOUNDED FOLLOWING" +} + +/** + * The trait used to represent the a Window Frame. + */ +sealed trait WindowFrame + +/** Used as a place holder when a frame specification is not defined. */ +case object UnspecifiedFrame extends WindowFrame + +/** A specified Window Frame. */ +case class SpecifiedWindowFrame( + frameType: FrameType, + frameStart: FrameBoundary, + frameEnd: FrameBoundary) extends WindowFrame { + + /** If this WindowFrame is valid or not. */ + def validate: Option[String] = (frameType, frameStart, frameEnd) match { + case (_, UnboundedFollowing, _) => + Some(s"$UnboundedFollowing is not allowed as the start of a Window Frame.") + case (_, _, UnboundedPreceding) => + Some(s"$UnboundedPreceding is not allowed as the end of a Window Frame.") + // case (RowFrame, start, end) => ??? RowFrame specific rule + // case (RangeFrame, start, end) => ??? RangeFrame specific rule + case (_, start, end) => + if (start.notFollows(end)) { + None + } else { + val reason = + s"The end of this Window Frame $end is smaller than the start of " + + s"this Window Frame $start." + Some(reason) + } + } + + override def toString: String = frameType match { + case RowFrame => s"ROWS BETWEEN $frameStart AND $frameEnd" + case RangeFrame => s"RANGE BETWEEN $frameStart AND $frameEnd" + } +} + +object SpecifiedWindowFrame { + /** + * + * @param hasOrderSpecification If the window spec has order by expressions. + * @param acceptWindowFrame If the window function accepts user-specified frame. + * @return + */ + def defaultWindowFrame( + hasOrderSpecification: Boolean, + acceptWindowFrame: Boolean): SpecifiedWindowFrame = { + if (hasOrderSpecification && acceptWindowFrame) { + // If order spec is defined and the window function supports user specified window frames, + // the default frame is RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW. + SpecifiedWindowFrame(RangeFrame, UnboundedPreceding, CurrentRow) + } else { + // Otherwise, the default frame is + // ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING. + SpecifiedWindowFrame(RowFrame, UnboundedPreceding, UnboundedFollowing) + } + } +} + +/** + * Every window function needs to maintain a output buffer for its output. + * It should expect that for a n-row window frame, it will be called n times + * to retrieve value corresponding with these n rows. + */ +trait WindowFunction extends Expression { + self: Product => + + def init(): Unit + + def reset(): Unit + + def prepareInputParameters(input: Row): AnyRef + + def update(input: AnyRef): Unit + + def batchUpdate(inputs: Array[AnyRef]): Unit + + def evaluate(): Unit + + def get(index: Int): Any + + def newInstance(): WindowFunction +} + +case class UnresolvedWindowFunction( + name: String, + children: Seq[Expression]) + extends Expression with WindowFunction { + + override def dataType: DataType = throw new UnresolvedException(this, "dataType") + override def foldable: Boolean = throw new UnresolvedException(this, "foldable") + override def nullable: Boolean = throw new UnresolvedException(this, "nullable") + override lazy val resolved = false + + override def init(): Unit = + throw new UnresolvedException(this, "init") + override def reset(): Unit = + throw new UnresolvedException(this, "reset") + override def prepareInputParameters(input: Row): AnyRef = + throw new UnresolvedException(this, "prepareInputParameters") + override def update(input: AnyRef): Unit = + throw new UnresolvedException(this, "update") + override def batchUpdate(inputs: Array[AnyRef]): Unit = + throw new UnresolvedException(this, "batchUpdate") + override def evaluate(): Unit = + throw new UnresolvedException(this, "evaluate") + override def get(index: Int): Any = + throw new UnresolvedException(this, "get") + // Unresolved functions are transient at compile time and don't get evaluated during execution. + override def eval(input: Row = null): EvaluatedType = + throw new TreeNodeException(this, s"No function to evaluate expression. type: ${this.nodeName}") + + override def toString: String = s"'$name(${children.mkString(",")})" + + override def newInstance(): WindowFunction = + throw new UnresolvedException(this, "newInstance") +} + +case class UnresolvedWindowExpression( + child: UnresolvedWindowFunction, + windowSpec: WindowSpecReference) extends UnaryExpression { + override def dataType: DataType = throw new UnresolvedException(this, "dataType") + override def foldable: Boolean = throw new UnresolvedException(this, "foldable") + override def nullable: Boolean = throw new UnresolvedException(this, "nullable") + override lazy val resolved = false + + // Unresolved functions are transient at compile time and don't get evaluated during execution. + override def eval(input: Row = null): EvaluatedType = + throw new TreeNodeException(this, s"No function to evaluate expression. type: ${this.nodeName}") +} + +case class WindowExpression( + windowFunction: WindowFunction, + windowSpec: WindowSpecDefinition) extends Expression { + override type EvaluatedType = Any + + override def children: Seq[Expression] = + windowFunction :: windowSpec :: Nil + + override def eval(input: Row): EvaluatedType = + throw new TreeNodeException(this, s"No function to evaluate expression. type: ${this.nodeName}") + + override def dataType: DataType = windowFunction.dataType + override def foldable: Boolean = windowFunction.foldable + override def nullable: Boolean = windowFunction.nullable + + override def toString: String = s"$windowFunction $windowSpec" +} diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicOperators.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicOperators.scala index 21208c8a5c..ba0abb2df5 100644 --- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicOperators.scala +++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicOperators.scala @@ -25,13 +25,14 @@ case class Project(projectList: Seq[NamedExpression], child: LogicalPlan) extend override def output: Seq[Attribute] = projectList.map(_.toAttribute) override lazy val resolved: Boolean = { - val containsAggregatesOrGenerators = projectList.exists ( _.collect { + val hasSpecialExpressions = projectList.exists ( _.collect { case agg: AggregateExpression => agg case generator: Generator => generator + case window: WindowExpression => window }.nonEmpty ) - !expressions.exists(!_.resolved) && childrenResolved && !containsAggregatesOrGenerators + !expressions.exists(!_.resolved) && childrenResolved && !hasSpecialExpressions } } @@ -170,6 +171,12 @@ case class With(child: LogicalPlan, cteRelations: Map[String, Subquery]) extends override def output: Seq[Attribute] = child.output } +case class WithWindowDefinition( + windowDefinitions: Map[String, WindowSpecDefinition], + child: LogicalPlan) extends UnaryNode { + override def output: Seq[Attribute] = child.output +} + case class WriteToFile( path: String, child: LogicalPlan) extends UnaryNode { @@ -195,9 +202,28 @@ case class Aggregate( child: LogicalPlan) extends UnaryNode { + override lazy val resolved: Boolean = { + val hasWindowExpressions = aggregateExpressions.exists ( _.collect { + case window: WindowExpression => window + }.nonEmpty + ) + + !expressions.exists(!_.resolved) && childrenResolved && !hasWindowExpressions + } + override def output: Seq[Attribute] = aggregateExpressions.map(_.toAttribute) } +case class Window( + projectList: Seq[Attribute], + windowExpressions: Seq[NamedExpression], + windowSpec: WindowSpecDefinition, + child: LogicalPlan) extends UnaryNode { + + override def output: Seq[Attribute] = + (projectList ++ windowExpressions).map(_.toAttribute) +} + /** * Apply the all of the GroupExpressions to every input row, hence we will get * multiple output rows for a input row. diff --git a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/trees/TreeNode.scala b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/trees/TreeNode.scala index 97502ed3af..4b93f7d31b 100644 --- a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/trees/TreeNode.scala +++ b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/trees/TreeNode.scala @@ -72,6 +72,15 @@ abstract class TreeNode[BaseType <: TreeNode[BaseType]] { } /** + * Find the first [[TreeNode]] that satisfies the condition specified by `f`. + * The condition is recursively applied to this node and all of its children (pre-order). + */ + def find(f: BaseType => Boolean): Option[BaseType] = f(this) match { + case true => Some(this) + case false => children.foldLeft(None: Option[BaseType]) { (l, r) => l.orElse(r.find(f)) } + } + + /** * Runs the given function on this node and then recursively on [[children]]. * @param f the function to be applied to each node in the tree. */ @@ -151,6 +160,20 @@ abstract class TreeNode[BaseType <: TreeNode[BaseType]] { val remainingNewChildren = newChildren.toBuffer val remainingOldChildren = children.toBuffer val newArgs = productIterator.map { + // This rule is used to handle children is a input argument. + case s: Seq[_] => s.map { + case arg: TreeNode[_] if children contains arg => + val newChild = remainingNewChildren.remove(0) + val oldChild = remainingOldChildren.remove(0) + if (newChild fastEquals oldChild) { + oldChild + } else { + changed = true + newChild + } + case nonChild: AnyRef => nonChild + case null => null + } case arg: TreeNode[_] if children contains arg => val newChild = remainingNewChildren.remove(0) val oldChild = remainingOldChildren.remove(0) diff --git a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/trees/TreeNodeSuite.scala b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/trees/TreeNodeSuite.scala index 6b393327cc..786ddba403 100644 --- a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/trees/TreeNodeSuite.scala +++ b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/trees/TreeNodeSuite.scala @@ -22,7 +22,7 @@ import scala.collection.mutable.ArrayBuffer import org.scalatest.FunSuite import org.apache.spark.sql.catalyst.expressions._ -import org.apache.spark.sql.types.{StringType, NullType} +import org.apache.spark.sql.types.{IntegerType, StringType, NullType} case class Dummy(optKey: Option[Expression]) extends Expression { def children: Seq[Expression] = optKey.toSeq @@ -129,5 +129,47 @@ class TreeNodeSuite extends FunSuite { assert(expected === actual) } + test("find") { + val expression = Add(Literal(1), Multiply(Literal(2), Subtract(Literal(3), Literal(4)))) + // Find the top node. + var actual: Option[Expression] = expression.find { + case add: Add => true + case other => false + } + var expected: Option[Expression] = + Some(Add(Literal(1), Multiply(Literal(2), Subtract(Literal(3), Literal(4))))) + assert(expected === actual) + + // Find the first children. + actual = expression.find { + case Literal(1, IntegerType) => true + case other => false + } + expected = Some(Literal(1)) + assert(expected === actual) + // Find an internal node (Subtract). + actual = expression.find { + case sub: Subtract => true + case other => false + } + expected = Some(Subtract(Literal(3), Literal(4))) + assert(expected === actual) + + // Find a leaf node. + actual = expression.find { + case Literal(3, IntegerType) => true + case other => false + } + expected = Some(Literal(3)) + assert(expected === actual) + + // Find nothing. + actual = expression.find { + case Literal(100, IntegerType) => true + case other => false + } + expected = None + assert(expected === actual) + } } diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala index 326e8ce4ca..56a4689eb5 100644 --- a/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala +++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/SparkStrategies.scala @@ -303,6 +303,8 @@ private[sql] abstract class SparkStrategies extends QueryPlanner[SparkPlan] { execution.Expand(projections, output, planLater(child)) :: Nil case logical.Aggregate(group, agg, child) => execution.Aggregate(partial = false, group, agg, planLater(child)) :: Nil + case logical.Window(projectList, windowExpressions, spec, child) => + execution.Window(projectList, windowExpressions, spec, planLater(child)) :: Nil case logical.Sample(lb, ub, withReplacement, seed, child) => execution.Sample(lb, ub, withReplacement, seed, planLater(child)) :: Nil case logical.LocalRelation(output, data) => diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/Window.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/Window.scala new file mode 100644 index 0000000000..217b559def --- /dev/null +++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/Window.scala @@ -0,0 +1,480 @@ +/* + * 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.execution + +import java.util + +import org.apache.spark.rdd.RDD +import org.apache.spark.sql.Row +import org.apache.spark.sql.catalyst.expressions._ +import org.apache.spark.sql.catalyst.plans.physical.{AllTuples, Distribution, ClusteredDistribution, Partitioning} +import org.apache.spark.util.collection.CompactBuffer + +/** + * :: DeveloperApi :: + * For every row, evaluates `windowExpression` containing Window Functions and attaches + * the results with other regular expressions (presented by `projectList`). + * Evert operator handles a single Window Specification, `windowSpec`. + */ +case class Window( + projectList: Seq[Attribute], + windowExpression: Seq[NamedExpression], + windowSpec: WindowSpecDefinition, + child: SparkPlan) + extends UnaryNode { + + override def output: Seq[Attribute] = + (projectList ++ windowExpression).map(_.toAttribute) + + override def requiredChildDistribution: Seq[Distribution] = + if (windowSpec.partitionSpec.isEmpty) { + // This operator will be very expensive. + AllTuples :: Nil + } else { + ClusteredDistribution(windowSpec.partitionSpec) :: Nil + } + + // Since window functions are adding columns to the input rows, the child's outputPartitioning + // is preserved. + override def outputPartitioning: Partitioning = child.outputPartitioning + + override def requiredChildOrdering: Seq[Seq[SortOrder]] = { + // The required child ordering has two parts. + // The first part is the expressions in the partition specification. + // We add these expressions to the required ordering to make sure input rows are grouped + // based on the partition specification. So, we only need to process a single partition + // at a time. + // The second part is the expressions specified in the ORDER BY cluase. + // Basically, we first use sort to group rows based on partition specifications and then sort + // Rows in a group based on the order specification. + (windowSpec.partitionSpec.map(SortOrder(_, Ascending)) ++ windowSpec.orderSpec) :: Nil + } + + // Since window functions basically add columns to input rows, this operator + // will not change the ordering of input rows. + override def outputOrdering: Seq[SortOrder] = child.outputOrdering + + case class ComputedWindow( + unbound: WindowExpression, + windowFunction: WindowFunction, + resultAttribute: AttributeReference) + + // A list of window functions that need to be computed for each group. + private[this] val computedWindowExpressions = windowExpression.flatMap { window => + window.collect { + case w: WindowExpression => + ComputedWindow( + w, + BindReferences.bindReference(w.windowFunction, child.output), + AttributeReference(s"windowResult:$w", w.dataType, w.nullable)()) + } + }.toArray + + private[this] val windowFrame = + windowSpec.frameSpecification.asInstanceOf[SpecifiedWindowFrame] + + // Create window functions. + private[this] def windowFunctions(): Array[WindowFunction] = { + val functions = new Array[WindowFunction](computedWindowExpressions.length) + var i = 0 + while (i < computedWindowExpressions.length) { + functions(i) = computedWindowExpressions(i).windowFunction.newInstance() + functions(i).init() + i += 1 + } + functions + } + + // The schema of the result of all window function evaluations + private[this] val computedSchema = computedWindowExpressions.map(_.resultAttribute) + + private[this] val computedResultMap = + computedWindowExpressions.map { w => w.unbound -> w.resultAttribute }.toMap + + private[this] val windowExpressionResult = windowExpression.map { window => + window.transform { + case w: WindowExpression if computedResultMap.contains(w) => computedResultMap(w) + } + } + + def execute(): RDD[Row] = { + child.execute().mapPartitions { iter => + new Iterator[Row] { + + // Although input rows are grouped based on windowSpec.partitionSpec, we need to + // know when we have a new partition. + // This is to manually construct an ordering that can be used to compare rows. + // TODO: We may want to have a newOrdering that takes BoundReferences. + // So, we can take advantave of code gen. + private val partitionOrdering: Ordering[Row] = + RowOrdering.forSchema(windowSpec.partitionSpec.map(_.dataType)) + + // This is used to project expressions for the partition specification. + protected val partitionGenerator = + newMutableProjection(windowSpec.partitionSpec, child.output)() + + // This is ued to project expressions for the order specification. + protected val rowOrderGenerator = + newMutableProjection(windowSpec.orderSpec.map(_.child), child.output)() + + // The position of next output row in the inputRowBuffer. + var rowPosition: Int = 0 + // The number of buffered rows in the inputRowBuffer (the size of the current partition). + var partitionSize: Int = 0 + // The buffer used to buffer rows in a partition. + var inputRowBuffer: CompactBuffer[Row] = _ + // The partition key of the current partition. + var currentPartitionKey: Row = _ + // The partition key of next partition. + var nextPartitionKey: Row = _ + // The first row of next partition. + var firstRowInNextPartition: Row = _ + // Indicates if this partition is the last one in the iter. + var lastPartition: Boolean = false + + def createBoundaryEvaluator(): () => Unit = { + def findPhysicalBoundary( + boundary: FrameBoundary): () => Int = boundary match { + case UnboundedPreceding => () => 0 + case UnboundedFollowing => () => partitionSize - 1 + case CurrentRow => () => rowPosition + case ValuePreceding(value) => + () => + val newPosition = rowPosition - value + if (newPosition > 0) newPosition else 0 + case ValueFollowing(value) => + () => + val newPosition = rowPosition + value + if (newPosition < partitionSize) newPosition else partitionSize - 1 + } + + def findLogicalBoundary( + boundary: FrameBoundary, + searchDirection: Int, + evaluator: Expression, + joinedRow: JoinedRow): () => Int = boundary match { + case UnboundedPreceding => () => 0 + case UnboundedFollowing => () => partitionSize - 1 + case other => + () => { + // CurrentRow, ValuePreceding, or ValueFollowing. + var newPosition = rowPosition + searchDirection + var stopSearch = false + // rowOrderGenerator is a mutable projection. + // We need to make a copy of the returned by rowOrderGenerator since we will + // compare searched row with this currentOrderByValue. + val currentOrderByValue = rowOrderGenerator(inputRowBuffer(rowPosition)).copy() + while (newPosition >= 0 && newPosition < partitionSize && !stopSearch) { + val r = rowOrderGenerator(inputRowBuffer(newPosition)) + stopSearch = + !(evaluator.eval(joinedRow(currentOrderByValue, r)).asInstanceOf[Boolean]) + if (!stopSearch) { + newPosition += searchDirection + } + } + newPosition -= searchDirection + + if (newPosition < 0) { + 0 + } else if (newPosition >= partitionSize) { + partitionSize - 1 + } else { + newPosition + } + } + } + + windowFrame.frameType match { + case RowFrame => + val findStart = findPhysicalBoundary(windowFrame.frameStart) + val findEnd = findPhysicalBoundary(windowFrame.frameEnd) + () => { + frameStart = findStart() + frameEnd = findEnd() + } + case RangeFrame => + val joinedRowForBoundaryEvaluation: JoinedRow = new JoinedRow() + val orderByExpr = windowSpec.orderSpec.head + val currentRowExpr = + BoundReference(0, orderByExpr.dataType, orderByExpr.nullable) + val examedRowExpr = + BoundReference(1, orderByExpr.dataType, orderByExpr.nullable) + val differenceExpr = Abs(Subtract(currentRowExpr, examedRowExpr)) + + val frameStartEvaluator = windowFrame.frameStart match { + case CurrentRow => EqualTo(currentRowExpr, examedRowExpr) + case ValuePreceding(value) => + LessThanOrEqual(differenceExpr, Cast(Literal(value), orderByExpr.dataType)) + case ValueFollowing(value) => + GreaterThanOrEqual(differenceExpr, Cast(Literal(value), orderByExpr.dataType)) + case o => Literal(true) // This is just a dummy expression, we will not use it. + } + + val frameEndEvaluator = windowFrame.frameEnd match { + case CurrentRow => EqualTo(currentRowExpr, examedRowExpr) + case ValuePreceding(value) => + GreaterThanOrEqual(differenceExpr, Cast(Literal(value), orderByExpr.dataType)) + case ValueFollowing(value) => + LessThanOrEqual(differenceExpr, Cast(Literal(value), orderByExpr.dataType)) + case o => Literal(true) // This is just a dummy expression, we will not use it. + } + + val findStart = + findLogicalBoundary( + boundary = windowFrame.frameStart, + searchDirection = -1, + evaluator = frameStartEvaluator, + joinedRow = joinedRowForBoundaryEvaluation) + val findEnd = + findLogicalBoundary( + boundary = windowFrame.frameEnd, + searchDirection = 1, + evaluator = frameEndEvaluator, + joinedRow = joinedRowForBoundaryEvaluation) + () => { + frameStart = findStart() + frameEnd = findEnd() + } + } + } + + val boundaryEvaluator = createBoundaryEvaluator() + // Indicates if we the specified window frame requires us to maintain a sliding frame + // (e.g. RANGES BETWEEN 1 PRECEDING AND CURRENT ROW) or the window frame + // is the entire partition (e.g. ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING). + val requireUpdateFrame: Boolean = { + def requireUpdateBoundary(boundary: FrameBoundary): Boolean = boundary match { + case UnboundedPreceding => false + case UnboundedFollowing => false + case _ => true + } + + requireUpdateBoundary(windowFrame.frameStart) || + requireUpdateBoundary(windowFrame.frameEnd) + } + // The start position of the current frame in the partition. + var frameStart: Int = 0 + // The end position of the current frame in the partition. + var frameEnd: Int = -1 + // Window functions. + val functions: Array[WindowFunction] = windowFunctions() + // Buffers used to store input parameters for window functions. Because we may need to + // maintain a sliding frame, we use this buffer to avoid evaluate the parameters from + // the same row multiple times. + val windowFunctionParameterBuffers: Array[util.LinkedList[AnyRef]] = + functions.map(_ => new util.LinkedList[AnyRef]()) + + // The projection used to generate the final result rows of this operator. + private[this] val resultProjection = + newMutableProjection( + projectList ++ windowExpressionResult, + projectList ++ computedSchema)() + + // The row used to hold results of window functions. + private[this] val windowExpressionResultRow = + new GenericMutableRow(computedSchema.length) + + private[this] val joinedRow = new JoinedRow6 + + // Initialize this iterator. + initialize() + + private def initialize(): Unit = { + if (iter.hasNext) { + val currentRow = iter.next().copy() + // partitionGenerator is a mutable projection. Since we need to track nextPartitionKey, + // we are making a copy of the returned partitionKey at here. + nextPartitionKey = partitionGenerator(currentRow).copy() + firstRowInNextPartition = currentRow + fetchNextPartition() + } else { + // The iter is an empty one. So, we set all of the following variables + // to make sure hasNext will return false. + lastPartition = true + rowPosition = 0 + partitionSize = 0 + } + } + + // Indicates if we will have new output row. + override final def hasNext: Boolean = { + !lastPartition || (rowPosition < partitionSize) + } + + override final def next(): Row = { + if (hasNext) { + if (rowPosition == partitionSize) { + // All rows of this buffer have been consumed. + // We will move to next partition. + fetchNextPartition() + } + // Get the input row for the current output row. + val inputRow = inputRowBuffer(rowPosition) + // Get all results of the window functions for this output row. + var i = 0 + while (i < functions.length) { + windowExpressionResultRow.update(i, functions(i).get(rowPosition)) + i += 1 + } + + // Construct the output row. + val outputRow = resultProjection(joinedRow(inputRow, windowExpressionResultRow)) + // We will move to the next one. + rowPosition += 1 + if (requireUpdateFrame && rowPosition < partitionSize) { + // If we need to maintain a sliding frame and + // we will still work on this partition when next is called next time, do the update. + updateFrame() + } + + // Return the output row. + outputRow + } else { + // no more result + throw new NoSuchElementException + } + } + + // Fetch the next partition. + private def fetchNextPartition(): Unit = { + // Create a new buffer for input rows. + inputRowBuffer = new CompactBuffer[Row]() + // We already have the first row for this partition + // (recorded in firstRowInNextPartition). Add it back. + inputRowBuffer += firstRowInNextPartition + // Set the current partition key. + currentPartitionKey = nextPartitionKey + // Now, we will start to find all rows belonging to this partition. + // Create a variable to track if we see the next partition. + var findNextPartition = false + // The search will stop when we see the next partition or there is no + // input row left in the iter. + while (iter.hasNext && !findNextPartition) { + // Make a copy of the input row since we will put it in the buffer. + val currentRow = iter.next().copy() + // Get the partition key based on the partition specification. + // For the below compare method, we do not need to make a copy of partitionKey. + val partitionKey = partitionGenerator(currentRow) + // Check if the current row belongs the current input row. + val comparing = partitionOrdering.compare(currentPartitionKey, partitionKey) + if (comparing == 0) { + // This row is still in the current partition. + inputRowBuffer += currentRow + } else { + // The current input row is in a different partition. + findNextPartition = true + // partitionGenerator is a mutable projection. + // Since we need to track nextPartitionKey and we determine that it should be set + // as partitionKey, we are making a copy of the partitionKey at here. + nextPartitionKey = partitionKey.copy() + firstRowInNextPartition = currentRow + } + } + + // We have not seen a new partition. It means that there is no new row in the + // iter. The current partition is the last partition of the iter. + if (!findNextPartition) { + lastPartition = true + } + + // We have got all rows for the current partition. + // Set rowPosition to 0 (the next output row will be based on the first + // input row of this partition). + rowPosition = 0 + // The size of this partition. + partitionSize = inputRowBuffer.size + // Reset all parameter buffers of window functions. + var i = 0 + while (i < windowFunctionParameterBuffers.length) { + windowFunctionParameterBuffers(i).clear() + i += 1 + } + frameStart = 0 + frameEnd = -1 + // Create the first window frame for this partition. + // If we do not need to maintain a sliding frame, this frame will + // have the entire partition. + updateFrame() + } + + /** The function used to maintain the sliding frame. */ + private def updateFrame(): Unit = { + // Based on the difference between the new frame and old frame, + // updates the buffers holding input parameters of window functions. + // We will start to prepare input parameters starting from the row + // indicated by offset in the input row buffer. + def updateWindowFunctionParameterBuffers( + numToRemove: Int, + numToAdd: Int, + offset: Int): Unit = { + // First, remove unneeded entries from the head of every buffer. + var i = 0 + while (i < numToRemove) { + var j = 0 + while (j < windowFunctionParameterBuffers.length) { + windowFunctionParameterBuffers(j).remove() + j += 1 + } + i += 1 + } + // Then, add needed entries to the tail of every buffer. + i = 0 + while (i < numToAdd) { + var j = 0 + while (j < windowFunctionParameterBuffers.length) { + // Ask the function to prepare the input parameters. + val parameters = functions(j).prepareInputParameters(inputRowBuffer(i + offset)) + windowFunctionParameterBuffers(j).add(parameters) + j += 1 + } + i += 1 + } + } + + // Record the current frame start point and end point before + // we update them. + val previousFrameStart = frameStart + val previousFrameEnd = frameEnd + boundaryEvaluator() + updateWindowFunctionParameterBuffers( + frameStart - previousFrameStart, + frameEnd - previousFrameEnd, + previousFrameEnd + 1) + // Evaluate the current frame. + evaluateCurrentFrame() + } + + /** Evaluate the current window frame. */ + private def evaluateCurrentFrame(): Unit = { + var i = 0 + while (i < functions.length) { + // Reset the state of the window function. + functions(i).reset() + // Get all buffered input parameters based on rows of this window frame. + val inputParameters = windowFunctionParameterBuffers(i).toArray() + // Send these input parameters to the window function. + functions(i).batchUpdate(inputParameters) + // Ask the function to evaluate based on this window frame. + functions(i).evaluate() + i += 1 + } + } + } + } + } +} diff --git a/sql/hive/compatibility/src/test/scala/org/apache/spark/sql/hive/execution/HiveCompatibilitySuite.scala b/sql/hive/compatibility/src/test/scala/org/apache/spark/sql/hive/execution/HiveCompatibilitySuite.scala index 81ee48ef41..5e411c2fdb 100644 --- a/sql/hive/compatibility/src/test/scala/org/apache/spark/sql/hive/execution/HiveCompatibilitySuite.scala +++ b/sql/hive/compatibility/src/test/scala/org/apache/spark/sql/hive/execution/HiveCompatibilitySuite.scala @@ -185,7 +185,7 @@ class HiveCompatibilitySuite extends HiveQueryFileTest with BeforeAndAfter { // Hive does not support buckets. ".*bucket.*", - // No window support yet + // We have our own tests based on these query files. ".*window.*", // Fails in hive with authorization errors. diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveContext.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveContext.scala index 1d8d0b5c32..f25723e53f 100644 --- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveContext.scala +++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveContext.scala @@ -252,6 +252,7 @@ class HiveContext(sc: SparkContext) extends SQLContext(sc) { catalog.CreateTables :: catalog.PreInsertionCasts :: ExtractPythonUdfs :: + ResolveHiveWindowFunction :: sources.PreInsertCastAndRename :: Nil } diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveQl.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveQl.scala index 63a8c05f77..8a0686a2d8 100644 --- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveQl.scala +++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveQl.scala @@ -421,16 +421,16 @@ private[hive] object HiveQl { } /** - * SELECT MAX(value) FROM src GROUP BY k1, k2, k3 GROUPING SETS((k1, k2), (k2)) - * is equivalent to + * SELECT MAX(value) FROM src GROUP BY k1, k2, k3 GROUPING SETS((k1, k2), (k2)) + * is equivalent to * SELECT MAX(value) FROM src GROUP BY k1, k2 UNION SELECT MAX(value) FROM src GROUP BY k2 * Check the following link for details. - * + * https://cwiki.apache.org/confluence/display/Hive/Enhanced+Aggregation%2C+Cube%2C+Grouping+and+Rollup * * The bitmask denotes the grouping expressions validity for a grouping set, * the bitmask also be called as grouping id (`GROUPING__ID`, the virtual column in Hive) - * e.g. In superset (k1, k2, k3), (bit 0: k1, bit 1: k2, and bit 2: k3), the grouping id of + * e.g. In superset (k1, k2, k3), (bit 0: k1, bit 1: k2, and bit 2: k3), the grouping id of * GROUPING SETS (k1, k2) and (k2) should be 3 and 2 respectively. */ protected def extractGroupingSet(children: Seq[ASTNode]): (Seq[Expression], Seq[Int]) = { @@ -444,7 +444,7 @@ https://cwiki.apache.org/confluence/display/Hive/Enhanced+Aggregation%2C+Cube%2C val bitmasks: Seq[Int] = setASTs.map(set => set match { case Token("TOK_GROUPING_SETS_EXPRESSION", null) => 0 - case Token("TOK_GROUPING_SETS_EXPRESSION", children) => + case Token("TOK_GROUPING_SETS_EXPRESSION", children) => children.foldLeft(0)((bitmap, col) => { val colString = col.asInstanceOf[ASTNode].toStringTree() require(keyMap.contains(colString), s"$colString doens't show up in the GROUP BY list") @@ -613,7 +613,8 @@ https://cwiki.apache.org/confluence/display/Hive/Enhanced+Aggregation%2C+Cube%2C clusterByClause :: distributeByClause :: limitClause :: - lateralViewClause :: Nil) = { + lateralViewClause :: + windowClause :: Nil) = { getClauses( Seq( "TOK_INSERT_INTO", @@ -631,15 +632,16 @@ https://cwiki.apache.org/confluence/display/Hive/Enhanced+Aggregation%2C+Cube%2C "TOK_CLUSTERBY", "TOK_DISTRIBUTEBY", "TOK_LIMIT", - "TOK_LATERAL_VIEW"), + "TOK_LATERAL_VIEW", + "WINDOW"), singleInsert) } - + val relations = fromClause match { case Some(f) => nodeToRelation(f) case None => OneRowRelation } - + val withWhere = whereClause.map { whereNode => val Seq(whereExpr) = whereNode.getChildren.toSeq Filter(nodeToExpr(whereExpr), relations) @@ -691,7 +693,7 @@ https://cwiki.apache.org/confluence/display/Hive/Enhanced+Aggregation%2C+Cube%2C val serdeProps = propsClause.map { case Token("TOK_TABLEPROPERTY", Token(name, Nil) :: Token(value, Nil) :: Nil) => (name, value) - } + } (Nil, serdeClass, serdeProps) case Nil => (Nil, "", Nil) @@ -736,7 +738,7 @@ https://cwiki.apache.org/confluence/display/Hive/Enhanced+Aggregation%2C+Cube%2C // The projection of the query can either be a normal projection, an aggregation // (if there is a group by) or a script transformation. val withProject: LogicalPlan = transformation.getOrElse { - val selectExpressions = + val selectExpressions = nameExpressions(select.getChildren.flatMap(selExprNodeToExpr).toSeq) Seq( groupByClause.map(e => e match { @@ -764,31 +766,34 @@ https://cwiki.apache.org/confluence/display/Hive/Enhanced+Aggregation%2C+Cube%2C Some(Project(selectExpressions, withLateralView))).flatten.head } - val withDistinct = - if (selectDistinctClause.isDefined) Distinct(withProject) else withProject - + // Handle HAVING clause. val withHaving = havingClause.map { h => val havingExpr = h.getChildren.toSeq match { case Seq(hexpr) => nodeToExpr(hexpr) } // Note that we added a cast to boolean. If the expression itself is already boolean, // the optimizer will get rid of the unnecessary cast. - Filter(Cast(havingExpr, BooleanType), withDistinct) - }.getOrElse(withDistinct) + Filter(Cast(havingExpr, BooleanType), withProject) + }.getOrElse(withProject) + + // Handle SELECT DISTINCT + val withDistinct = + if (selectDistinctClause.isDefined) Distinct(withHaving) else withHaving + // Handle ORDER BY, SORT BY, DISTRIBETU BY, and CLUSTER BY clause. val withSort = (orderByClause, sortByClause, distributeByClause, clusterByClause) match { case (Some(totalOrdering), None, None, None) => - Sort(totalOrdering.getChildren.map(nodeToSortOrder), true, withHaving) + Sort(totalOrdering.getChildren.map(nodeToSortOrder), true, withDistinct) case (None, Some(perPartitionOrdering), None, None) => - Sort(perPartitionOrdering.getChildren.map(nodeToSortOrder), false, withHaving) + Sort(perPartitionOrdering.getChildren.map(nodeToSortOrder), false, withDistinct) case (None, None, Some(partitionExprs), None) => - RepartitionByExpression(partitionExprs.getChildren.map(nodeToExpr), withHaving) + RepartitionByExpression(partitionExprs.getChildren.map(nodeToExpr), withDistinct) case (None, Some(perPartitionOrdering), Some(partitionExprs), None) => Sort(perPartitionOrdering.getChildren.map(nodeToSortOrder), false, - RepartitionByExpression(partitionExprs.getChildren.map(nodeToExpr), withHaving)) + RepartitionByExpression(partitionExprs.getChildren.map(nodeToExpr), withDistinct)) case (None, None, None, Some(clusterExprs)) => Sort(clusterExprs.getChildren.map(nodeToExpr).map(SortOrder(_, Ascending)), false, - RepartitionByExpression(clusterExprs.getChildren.map(nodeToExpr), withHaving)) - case (None, None, None, None) => withHaving + RepartitionByExpression(clusterExprs.getChildren.map(nodeToExpr), withDistinct)) + case (None, None, None, None) => withDistinct case _ => sys.error("Unsupported set of ordering / distribution clauses.") } @@ -797,6 +802,27 @@ https://cwiki.apache.org/confluence/display/Hive/Enhanced+Aggregation%2C+Cube%2C .map(Limit(_, withSort)) .getOrElse(withSort) + // Collect all window specifications defined in the WINDOW clause. + val windowDefinitions = windowClause.map(_.getChildren.toSeq.collect { + case Token("TOK_WINDOWDEF", + Token(windowName, Nil) :: Token("TOK_WINDOWSPEC", spec) :: Nil) => + windowName -> nodesToWindowSpecification(spec) + }.toMap) + // Handle cases like + // window w1 as (partition by p_mfgr order by p_name + // range between 2 preceding and 2 following), + // w2 as w1 + val resolvedCrossReference = windowDefinitions.map { + windowDefMap => windowDefMap.map { + case (windowName, WindowSpecReference(other)) => + (windowName, windowDefMap(other).asInstanceOf[WindowSpecDefinition]) + case o => o.asInstanceOf[(String, WindowSpecDefinition)] + } + } + + val withWindowDefinitions = + resolvedCrossReference.map(WithWindowDefinition(_, withLimit)).getOrElse(withLimit) + // TOK_INSERT_INTO means to add files to the table. // TOK_DESTINATION means to overwrite the table. val resultDestination = @@ -804,7 +830,7 @@ https://cwiki.apache.org/confluence/display/Hive/Enhanced+Aggregation%2C+Cube%2C val overwrite = intoClause.isEmpty nodeToDest( resultDestination, - withLimit, + withWindowDefinitions, overwrite) } @@ -1053,7 +1079,6 @@ https://cwiki.apache.org/confluence/display/Hive/Enhanced+Aggregation%2C+Cube%2C throw new NotImplementedError(s"No parse rules for:\n ${dumpTree(a).toString} ") } - protected val escapedIdentifier = "`([^`]+)`".r /** Strips backticks from ident if present */ protected def cleanIdentifier(ident: String): String = ident match { @@ -1250,6 +1275,25 @@ https://cwiki.apache.org/confluence/display/Hive/Enhanced+Aggregation%2C+Cube%2C Substring(nodeToExpr(string), nodeToExpr(pos), nodeToExpr(length)) case Token("TOK_FUNCTION", Token(COALESCE(), Nil) :: list) => Coalesce(list.map(nodeToExpr)) + /* Window Functions */ + case Token("TOK_FUNCTION", Token(name, Nil) +: args :+ Token("TOK_WINDOWSPEC", spec)) => + val function = UnresolvedWindowFunction(name, args.map(nodeToExpr)) + nodesToWindowSpecification(spec) match { + case reference: WindowSpecReference => + UnresolvedWindowExpression(function, reference) + case definition: WindowSpecDefinition => + WindowExpression(function, definition) + } + case Token("TOK_FUNCTIONSTAR", Token(name, Nil) :: Token("TOK_WINDOWSPEC", spec) :: Nil) => + // Safe to use Literal(1)? + val function = UnresolvedWindowFunction(name, Literal(1) :: Nil) + nodesToWindowSpecification(spec) match { + case reference: WindowSpecReference => + UnresolvedWindowExpression(function, reference) + case definition: WindowSpecDefinition => + WindowExpression(function, definition) + } + /* UDFs - Must be last otherwise will preempt built in functions */ case Token("TOK_FUNCTION", Token(name, Nil) :: args) => UnresolvedFunction(name, args.map(nodeToExpr)) @@ -1312,6 +1356,89 @@ https://cwiki.apache.org/confluence/display/Hive/Enhanced+Aggregation%2C+Cube%2C """.stripMargin) } + def nodesToWindowSpecification(nodes: Seq[ASTNode]): WindowSpec = nodes match { + case Token(windowName, Nil) :: Nil => + // Refer to a window spec defined in the window clause. + WindowSpecReference(windowName) + case Nil => + // OVER() + WindowSpecDefinition( + partitionSpec = Nil, + orderSpec = Nil, + frameSpecification = UnspecifiedFrame) + case spec => + val (partitionClause :: rowFrame :: rangeFrame :: Nil) = + getClauses( + Seq( + "TOK_PARTITIONINGSPEC", + "TOK_WINDOWRANGE", + "TOK_WINDOWVALUES"), + spec) + + // Handle Partition By and Order By. + val (partitionSpec, orderSpec) = partitionClause.map { partitionAndOrdering => + val (partitionByClause :: orderByClause :: sortByClause :: clusterByClause :: Nil) = + getClauses( + Seq("TOK_DISTRIBUTEBY", "TOK_ORDERBY", "TOK_SORTBY", "TOK_CLUSTERBY"), + partitionAndOrdering.getChildren.toSeq.asInstanceOf[Seq[ASTNode]]) + + (partitionByClause, orderByClause.orElse(sortByClause), clusterByClause) match { + case (Some(partitionByExpr), Some(orderByExpr), None) => + (partitionByExpr.getChildren.map(nodeToExpr), + orderByExpr.getChildren.map(nodeToSortOrder)) + case (Some(partitionByExpr), None, None) => + (partitionByExpr.getChildren.map(nodeToExpr), Nil) + case (None, Some(orderByExpr), None) => + (Nil, orderByExpr.getChildren.map(nodeToSortOrder)) + case (None, None, Some(clusterByExpr)) => + val expressions = clusterByExpr.getChildren.map(nodeToExpr) + (expressions, expressions.map(SortOrder(_, Ascending))) + case _ => + throw new NotImplementedError( + s"""No parse rules for Node ${partitionAndOrdering.getName} + """.stripMargin) + } + }.getOrElse { + (Nil, Nil) + } + + // Handle Window Frame + val windowFrame = + if (rowFrame.isEmpty && rangeFrame.isEmpty) { + UnspecifiedFrame + } else { + val frameType = rowFrame.map(_ => RowFrame).getOrElse(RangeFrame) + def nodeToBoundary(node: Node): FrameBoundary = node match { + case Token("preceding", Token(count, Nil) :: Nil) => + if (count == "unbounded") UnboundedPreceding else ValuePreceding(count.toInt) + case Token("following", Token(count, Nil) :: Nil) => + if (count == "unbounded") UnboundedFollowing else ValueFollowing(count.toInt) + case Token("current", Nil) => CurrentRow + case _ => + throw new NotImplementedError( + s"""No parse rules for the Window Frame Boundary based on Node ${node.getName} + """.stripMargin) + } + + rowFrame.orElse(rangeFrame).map { frame => + frame.getChildren.toList match { + case precedingNode :: followingNode :: Nil => + SpecifiedWindowFrame( + frameType, + nodeToBoundary(precedingNode), + nodeToBoundary(followingNode)) + case precedingNode :: Nil => + SpecifiedWindowFrame(frameType, nodeToBoundary(precedingNode), CurrentRow) + case _ => + throw new NotImplementedError( + s"""No parse rules for the Window Frame based on Node ${frame.getName} + """.stripMargin) + } + }.getOrElse(sys.error(s"If you see this, please file a bug report with your query.")) + } + + WindowSpecDefinition(partitionSpec, orderSpec, windowFrame) + } val explode = "(?i)explode".r def nodesToGenerator(nodes: Seq[Node]): (Generator, Seq[String]) = { diff --git a/sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUdfs.scala b/sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUdfs.scala index 4b6f0ad75f..fd0b6f0585 100644 --- a/sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUdfs.scala +++ b/sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveUdfs.scala @@ -17,27 +17,27 @@ package org.apache.spark.sql.hive +import org.apache.hadoop.hive.ql.udf.generic.GenericUDAFEvaluator.AggregationBuffer import org.apache.hadoop.hive.ql.udf.generic.GenericUDFUtils.ConversionHelper +import org.apache.spark.sql.AnalysisException import scala.collection.mutable.ArrayBuffer import org.apache.hadoop.hive.serde2.objectinspector.{ObjectInspector, ConstantObjectInspector} import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorFactory.ObjectInspectorOptions import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorFactory -import org.apache.hadoop.hive.ql.exec.{UDF, UDAF} -import org.apache.hadoop.hive.ql.exec.{FunctionInfo, FunctionRegistry} +import org.apache.hadoop.hive.ql.exec._ import org.apache.hadoop.hive.ql.udf.{UDFType => HiveUDFType} import org.apache.hadoop.hive.ql.udf.generic._ import org.apache.hadoop.hive.ql.udf.generic.GenericUDF._ import org.apache.spark.Logging import org.apache.spark.sql.catalyst.analysis +import org.apache.spark.sql.catalyst.errors.TreeNodeException import org.apache.spark.sql.catalyst.expressions._ -import org.apache.spark.sql.catalyst.plans.logical.{Generate, Project, LogicalPlan} +import org.apache.spark.sql.catalyst.plans.logical._ import org.apache.spark.sql.catalyst.rules.Rule import org.apache.spark.sql.types._ -import org.apache.spark.sql.catalyst.analysis.MultiAlias -import org.apache.spark.sql.catalyst.errors.TreeNodeException /* Implicit conversions */ import scala.collection.JavaConversions._ @@ -189,6 +189,219 @@ private[hive] case class HiveGenericUdf(funcWrapper: HiveFunctionWrapper, childr } } +/** + * Resolves [[UnresolvedWindowFunction]] to [[HiveWindowFunction]]. + */ +private[spark] object ResolveHiveWindowFunction extends Rule[LogicalPlan] { + def apply(plan: LogicalPlan): LogicalPlan = plan transformUp { + case p: LogicalPlan if !p.childrenResolved => p + + // We are resolving WindowExpressions at here. When we get here, we have already + // replaced those WindowSpecReferences. + case p: LogicalPlan => + p transformExpressions { + case WindowExpression( + UnresolvedWindowFunction(name, children), + windowSpec: WindowSpecDefinition) => + // First, let's find the window function info. + val windowFunctionInfo: WindowFunctionInfo = + Option(FunctionRegistry.getWindowFunctionInfo(name.toLowerCase)).getOrElse( + throw new AnalysisException(s"Couldn't find window function $name")) + + // Get the class of this function. + // In Hive 0.12, there is no windowFunctionInfo.getFunctionClass. So, we use + // windowFunctionInfo.getfInfo().getFunctionClass for both Hive 0.13 and Hive 0.13.1. + val functionClass = windowFunctionInfo.getfInfo().getFunctionClass + val newChildren = + // Rank(), DENSE_RANK(), CUME_DIST(), and PERCENT_RANK() do not take explicit + // input parameters and requires implicit parameters, which + // are expressions in Order By clause. + if (classOf[GenericUDAFRank].isAssignableFrom(functionClass)) { + if (children.nonEmpty) { + throw new AnalysisException(s"$name does not take input parameters.") + } + windowSpec.orderSpec.map(_.child) + } else { + children + } + + // If the class is UDAF, we need to use UDAFBridge. + val isUDAFBridgeRequired = + if (classOf[UDAF].isAssignableFrom(functionClass)) { + true + } else { + false + } + + // Create the HiveWindowFunction. For the meaning of isPivotResult, see the doc of + // HiveWindowFunction. + val windowFunction = + HiveWindowFunction( + new HiveFunctionWrapper(functionClass.getName), + windowFunctionInfo.isPivotResult, + isUDAFBridgeRequired, + newChildren) + + // Second, check if the specified window function can accept window definition. + windowSpec.frameSpecification match { + case frame: SpecifiedWindowFrame if !windowFunctionInfo.isSupportsWindow => + // This Hive window function does not support user-speficied window frame. + throw new AnalysisException( + s"Window function $name does not take a frame specification.") + case frame: SpecifiedWindowFrame if windowFunctionInfo.isSupportsWindow && + windowFunctionInfo.isPivotResult => + // These two should not be true at the same time when a window frame is defined. + // If so, throw an exception. + throw new AnalysisException(s"Could not handle Hive window function $name because " + + s"it supports both a user specified window frame and pivot result.") + case _ => // OK + } + // Resolve those UnspecifiedWindowFrame because the physical Window operator still needs + // a window frame specification to work. + val newWindowSpec = windowSpec.frameSpecification match { + case UnspecifiedFrame => + val newWindowFrame = + SpecifiedWindowFrame.defaultWindowFrame( + windowSpec.orderSpec.nonEmpty, + windowFunctionInfo.isSupportsWindow) + WindowSpecDefinition(windowSpec.partitionSpec, windowSpec.orderSpec, newWindowFrame) + case _ => windowSpec + } + + // Finally, we create a WindowExpression with the resolved window function and + // specified window spec. + WindowExpression(windowFunction, newWindowSpec) + } + } +} + +/** + * A [[WindowFunction]] implementation wrapping Hive's window function. + * @param funcWrapper The wrapper for the Hive Window Function. + * @param pivotResult If it is true, the Hive function will return a list of values representing + * the values of the added columns. Otherwise, a single value is returned for + * current row. + * @param isUDAFBridgeRequired If it is true, the function returned by functionWrapper's + * createFunction is UDAF, we need to use GenericUDAFBridge to wrap + * it as a GenericUDAFResolver2. + * @param children Input parameters. + */ +private[hive] case class HiveWindowFunction( + funcWrapper: HiveFunctionWrapper, + pivotResult: Boolean, + isUDAFBridgeRequired: Boolean, + children: Seq[Expression]) extends WindowFunction + with HiveInspectors { + + // Hive window functions are based on GenericUDAFResolver2. + type UDFType = GenericUDAFResolver2 + + @transient + protected lazy val resolver: GenericUDAFResolver2 = + if (isUDAFBridgeRequired) { + new GenericUDAFBridge(funcWrapper.createFunction[UDAF]()) + } else { + funcWrapper.createFunction[GenericUDAFResolver2]() + } + + @transient + protected lazy val inputInspectors = children.map(toInspector).toArray + + // The GenericUDAFEvaluator used to evaluate the window function. + @transient + protected lazy val evaluator: GenericUDAFEvaluator = { + val parameterInfo = new SimpleGenericUDAFParameterInfo(inputInspectors, false, false) + resolver.getEvaluator(parameterInfo) + } + + // The object inspector of values returned from the Hive window function. + @transient + protected lazy val returnInspector = { + evaluator.init(GenericUDAFEvaluator.Mode.COMPLETE, inputInspectors) + } + + def dataType: DataType = + if (!pivotResult) { + inspectorToDataType(returnInspector) + } else { + // If pivotResult is true, we should take the element type out as the data type of this + // function. + inspectorToDataType(returnInspector) match { + case ArrayType(dt, _) => dt + case _ => + sys.error( + s"error resolve the data type of window function ${funcWrapper.functionClassName}") + } + } + + def nullable: Boolean = true + + override type EvaluatedType = Any + + override def eval(input: Row): Any = + throw new TreeNodeException(this, s"No function to evaluate expression. type: ${this.nodeName}") + + @transient + lazy val inputProjection = new InterpretedProjection(children) + + @transient + private var hiveEvaluatorBuffer: AggregationBuffer = _ + // Output buffer. + private var outputBuffer: Any = _ + + override def init(): Unit = { + evaluator.init(GenericUDAFEvaluator.Mode.COMPLETE, inputInspectors) + } + + // Reset the hiveEvaluatorBuffer and outputPosition + override def reset(): Unit = { + // We create a new aggregation buffer to workaround the bug in GenericUDAFRowNumber. + // Basically, GenericUDAFRowNumberEvaluator.reset calls RowNumberBuffer.init. + // However, RowNumberBuffer.init does not really reset this buffer. + hiveEvaluatorBuffer = evaluator.getNewAggregationBuffer + evaluator.reset(hiveEvaluatorBuffer) + } + + override def prepareInputParameters(input: Row): AnyRef = { + wrap(inputProjection(input), inputInspectors, new Array[AnyRef](children.length)) + } + // Add input parameters for a single row. + override def update(input: AnyRef): Unit = { + evaluator.iterate(hiveEvaluatorBuffer, input.asInstanceOf[Array[AnyRef]]) + } + + override def batchUpdate(inputs: Array[AnyRef]): Unit = { + var i = 0 + while (i < inputs.length) { + evaluator.iterate(hiveEvaluatorBuffer, inputs(i).asInstanceOf[Array[AnyRef]]) + i += 1 + } + } + + override def evaluate(): Unit = { + outputBuffer = unwrap(evaluator.evaluate(hiveEvaluatorBuffer), returnInspector) + } + + override def get(index: Int): Any = { + if (!pivotResult) { + // if pivotResult is false, we will get a single value for all rows in the frame. + outputBuffer + } else { + // if pivotResult is true, we will get a Seq having the same size with the size + // of the window frame. At here, we will return the result at the position of + // index in the output buffer. + outputBuffer.asInstanceOf[Seq[Any]].get(index) + } + } + + override def toString: String = { + s"$nodeName#${funcWrapper.functionClassName}(${children.mkString(",")})" + } + + override def newInstance: WindowFunction = + new HiveWindowFunction(funcWrapper, pivotResult, isUDAFBridgeRequired, children) +} + private[hive] case class HiveGenericUdaf( funcWrapper: HiveFunctionWrapper, children: Seq[Expression]) extends AggregateExpression diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 1. testWindowing-0-327a8cd39fe30255ff492ee86f660522 b/sql/hive/src/test/resources/golden/windowing.q -- 1. testWindowing-0-327a8cd39fe30255ff492ee86f660522 new file mode 100644 index 0000000000..850c41c811 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 1. testWindowing-0-327a8cd39fe30255ff492ee86f660522 @@ -0,0 +1,26 @@ +Manufacturer#1 almond antique burnished rose metallic 2 1 1 1173.15 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 2346.3 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 2 4100.06 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 3 5702.650000000001 +Manufacturer#1 almond aquamarine burnished black steel 28 5 4 7117.070000000001 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 5 8749.730000000001 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 1690.68 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 3491.38 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 5523.360000000001 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 7222.02 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 8923.62 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 1671.68 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 2861.95 +Manufacturer#3 almond antique metallic orange dim 19 3 3 4272.34 +Manufacturer#3 almond antique misty red olive 1 4 4 6195.32 +Manufacturer#3 almond antique olive coral navajo 45 5 5 7532.61 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 1620.67 +Manufacturer#4 almond antique violet mint lemon 39 2 2 2996.09 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 4202.35 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 6047.27 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 7337.620000000001 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 1789.69 +Manufacturer#5 almond antique medium spring khaki 6 2 2 3401.3500000000004 +Manufacturer#5 almond antique sky peru orange 2 3 3 5190.08 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 6208.18 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 7672.66 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 10. testHavingWithWindowingCondRankNoGBY-0-fef4bf638d52a9a601845347010602fd b/sql/hive/src/test/resources/golden/windowing.q -- 10. testHavingWithWindowingCondRankNoGBY-0-fef4bf638d52a9a601845347010602fd new file mode 100644 index 0000000000..850c41c811 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 10. testHavingWithWindowingCondRankNoGBY-0-fef4bf638d52a9a601845347010602fd @@ -0,0 +1,26 @@ +Manufacturer#1 almond antique burnished rose metallic 2 1 1 1173.15 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 2346.3 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 2 4100.06 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 3 5702.650000000001 +Manufacturer#1 almond aquamarine burnished black steel 28 5 4 7117.070000000001 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 5 8749.730000000001 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 1690.68 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 3491.38 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 5523.360000000001 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 7222.02 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 8923.62 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 1671.68 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 2861.95 +Manufacturer#3 almond antique metallic orange dim 19 3 3 4272.34 +Manufacturer#3 almond antique misty red olive 1 4 4 6195.32 +Manufacturer#3 almond antique olive coral navajo 45 5 5 7532.61 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 1620.67 +Manufacturer#4 almond antique violet mint lemon 39 2 2 2996.09 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 4202.35 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 6047.27 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 7337.620000000001 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 1789.69 +Manufacturer#5 almond antique medium spring khaki 6 2 2 3401.3500000000004 +Manufacturer#5 almond antique sky peru orange 2 3 3 5190.08 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 6208.18 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 7672.66 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 11. testFirstLast-0-86bb9c97d92fdcd941bcb5143513e2e6 b/sql/hive/src/test/resources/golden/windowing.q -- 11. testFirstLast-0-86bb9c97d92fdcd941bcb5143513e2e6 new file mode 100644 index 0000000000..921679cdcf --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 11. testFirstLast-0-86bb9c97d92fdcd941bcb5143513e2e6 @@ -0,0 +1,26 @@ +Manufacturer#1 almond antique burnished rose metallic 2 2 2 34 +Manufacturer#1 almond antique burnished rose metallic 2 2 2 6 +Manufacturer#1 almond antique chartreuse lavender yellow 34 34 2 28 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 6 2 42 +Manufacturer#1 almond aquamarine burnished black steel 28 28 34 42 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 42 6 42 +Manufacturer#2 almond antique violet chocolate turquoise 14 14 14 2 +Manufacturer#2 almond antique violet turquoise frosted 40 40 14 25 +Manufacturer#2 almond aquamarine midnight light salmon 2 2 14 18 +Manufacturer#2 almond aquamarine rose maroon antique 25 25 40 18 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 18 2 18 +Manufacturer#3 almond antique chartreuse khaki white 17 17 17 19 +Manufacturer#3 almond antique forest lavender goldenrod 14 14 17 1 +Manufacturer#3 almond antique metallic orange dim 19 19 17 45 +Manufacturer#3 almond antique misty red olive 1 1 14 45 +Manufacturer#3 almond antique olive coral navajo 45 45 19 45 +Manufacturer#4 almond antique gainsboro frosted violet 10 10 10 27 +Manufacturer#4 almond antique violet mint lemon 39 39 10 7 +Manufacturer#4 almond aquamarine floral ivory bisque 27 27 10 12 +Manufacturer#4 almond aquamarine yellow dodger mint 7 7 39 12 +Manufacturer#4 almond azure aquamarine papaya violet 12 12 27 12 +Manufacturer#5 almond antique blue firebrick mint 31 31 31 2 +Manufacturer#5 almond antique medium spring khaki 6 6 31 46 +Manufacturer#5 almond antique sky peru orange 2 2 31 23 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 46 6 23 +Manufacturer#5 almond azure blanched chiffon midnight 23 23 2 23 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 12. testFirstLastWithWhere-0-84345a9f685ba63b87caa4bb16b122b5 b/sql/hive/src/test/resources/golden/windowing.q -- 12. testFirstLastWithWhere-0-84345a9f685ba63b87caa4bb16b122b5 new file mode 100644 index 0000000000..09e30c7c57 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 12. testFirstLastWithWhere-0-84345a9f685ba63b87caa4bb16b122b5 @@ -0,0 +1,5 @@ +Manufacturer#3 almond antique chartreuse khaki white 17 1 17 17 19 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 14 17 1 +Manufacturer#3 almond antique metallic orange dim 19 3 19 17 45 +Manufacturer#3 almond antique misty red olive 1 4 1 14 45 +Manufacturer#3 almond antique olive coral navajo 45 5 45 19 45 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 13. testSumWindow-0-6cfc8840d3a4469b0fe11d63182cb59f b/sql/hive/src/test/resources/golden/windowing.q -- 13. testSumWindow-0-6cfc8840d3a4469b0fe11d63182cb59f new file mode 100644 index 0000000000..01ee88ff23 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 13. testSumWindow-0-6cfc8840d3a4469b0fe11d63182cb59f @@ -0,0 +1,26 @@ +Manufacturer#1 almond antique burnished rose metallic 2 38 2 +Manufacturer#1 almond antique burnished rose metallic 2 44 2 +Manufacturer#1 almond antique chartreuse lavender yellow 34 72 34 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 112 6 +Manufacturer#1 almond aquamarine burnished black steel 28 110 28 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 76 42 +Manufacturer#2 almond antique violet chocolate turquoise 14 56 14 +Manufacturer#2 almond antique violet turquoise frosted 40 81 40 +Manufacturer#2 almond aquamarine midnight light salmon 2 99 2 +Manufacturer#2 almond aquamarine rose maroon antique 25 85 25 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 45 18 +Manufacturer#3 almond antique chartreuse khaki white 17 50 17 +Manufacturer#3 almond antique forest lavender goldenrod 14 51 14 +Manufacturer#3 almond antique metallic orange dim 19 96 19 +Manufacturer#3 almond antique misty red olive 1 79 1 +Manufacturer#3 almond antique olive coral navajo 45 65 45 +Manufacturer#4 almond antique gainsboro frosted violet 10 76 10 +Manufacturer#4 almond antique violet mint lemon 39 83 39 +Manufacturer#4 almond aquamarine floral ivory bisque 27 95 27 +Manufacturer#4 almond aquamarine yellow dodger mint 7 85 7 +Manufacturer#4 almond azure aquamarine papaya violet 12 46 12 +Manufacturer#5 almond antique blue firebrick mint 31 39 31 +Manufacturer#5 almond antique medium spring khaki 6 85 6 +Manufacturer#5 almond antique sky peru orange 2 108 2 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 77 46 +Manufacturer#5 almond azure blanched chiffon midnight 23 71 23 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 14. testNoSortClause-0-88d96a526d3cae6ed8168c5b228974d1 b/sql/hive/src/test/resources/golden/windowing.q -- 14. testNoSortClause-0-88d96a526d3cae6ed8168c5b228974d1 new file mode 100644 index 0000000000..c78eb640c9 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 14. testNoSortClause-0-88d96a526d3cae6ed8168c5b228974d1 @@ -0,0 +1,26 @@ +Manufacturer#1 almond antique burnished rose metallic 2 1 1 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 2 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 3 +Manufacturer#1 almond aquamarine burnished black steel 28 5 4 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 5 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 +Manufacturer#3 almond antique metallic orange dim 19 3 3 +Manufacturer#3 almond antique misty red olive 1 4 4 +Manufacturer#3 almond antique olive coral navajo 45 5 5 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 +Manufacturer#4 almond antique violet mint lemon 39 2 2 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 +Manufacturer#5 almond antique medium spring khaki 6 2 2 +Manufacturer#5 almond antique sky peru orange 2 3 3 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 15. testExpressions-0-11f6c13cf2710ce7054654cca136e73e b/sql/hive/src/test/resources/golden/windowing.q -- 15. testExpressions-0-11f6c13cf2710ce7054654cca136e73e new file mode 100644 index 0000000000..050138ccf0 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 15. testExpressions-0-11f6c13cf2710ce7054654cca136e73e @@ -0,0 +1,26 @@ +Manufacturer#1 almond antique burnished rose metallic 2 1 1 0.3333333333333333 0.0 1 2 2.0 0.0 2 2 2 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 0.3333333333333333 0.0 1 2 2.0 0.0 2 2 2 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 2 0.5 0.4 2 3 12.666666666666666 15.084944665313014 2 34 2 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 3 0.6666666666666666 0.6 2 4 11.0 13.379088160259652 2 6 2 +Manufacturer#1 almond aquamarine burnished black steel 28 5 4 0.8333333333333334 0.8 3 5 14.4 13.763720427268202 2 28 34 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 5 1.0 1.0 3 6 19.0 16.237815945091466 2 42 6 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 0.2 0.0 1 1 14.0 0.0 4 14 14 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 0.4 0.25 1 2 27.0 13.0 4 40 14 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 0.6 0.5 2 3 18.666666666666668 15.86050300449376 4 2 14 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 0.8 0.75 2 4 20.25 14.00669482783144 4 25 40 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 1.0 1.0 3 5 19.8 12.560254774486067 4 18 2 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 0.2 0.0 1 1 17.0 0.0 2 17 17 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 0.4 0.25 1 2 15.5 1.5 2 14 17 +Manufacturer#3 almond antique metallic orange dim 19 3 3 0.6 0.5 2 3 16.666666666666668 2.0548046676563256 2 19 17 +Manufacturer#3 almond antique misty red olive 1 4 4 0.8 0.75 2 4 12.75 7.013380069552769 2 1 14 +Manufacturer#3 almond antique olive coral navajo 45 5 5 1.0 1.0 3 5 19.2 14.344336861632886 2 45 19 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 0.2 0.0 1 1 10.0 0.0 0 10 10 +Manufacturer#4 almond antique violet mint lemon 39 2 2 0.4 0.25 1 2 24.5 14.5 0 39 10 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 0.6 0.5 2 3 25.333333333333332 11.897712198383164 0 27 10 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 0.8 0.75 2 4 20.75 13.007209539328564 0 7 39 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 1.0 1.0 3 5 19.0 12.149074038789951 0 12 27 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 0.2 0.0 1 1 31.0 0.0 1 31 31 +Manufacturer#5 almond antique medium spring khaki 6 2 2 0.4 0.25 1 2 18.5 12.5 1 6 31 +Manufacturer#5 almond antique sky peru orange 2 3 3 0.6 0.5 2 3 13.0 12.832251036613439 1 2 31 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 0.8 0.75 2 4 21.25 18.102140757380052 1 46 6 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 1.0 1.0 3 5 21.6 16.206171663906314 1 23 2 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 16. testMultipleWindows-0-efd1476255eeb1b1961149144f574b7a b/sql/hive/src/test/resources/golden/windowing.q -- 16. testMultipleWindows-0-efd1476255eeb1b1961149144f574b7a new file mode 100644 index 0000000000..c10888852b --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 16. testMultipleWindows-0-efd1476255eeb1b1961149144f574b7a @@ -0,0 +1,26 @@ +Manufacturer#1 almond antique burnished rose metallic 2 1 1 0.3333333333333333 4 4 2 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 0.3333333333333333 4 4 2 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 2 0.5 38 34 2 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 3 0.6666666666666666 44 10 2 +Manufacturer#1 almond aquamarine burnished black steel 28 5 4 0.8333333333333334 72 28 34 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 5 1.0 114 42 6 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 0.2 14 14 14 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 0.4 54 40 14 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 0.6 56 2 14 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 0.8 81 25 40 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 1.0 99 32 2 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 0.2 17 31 17 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 0.4 31 14 17 +Manufacturer#3 almond antique metallic orange dim 19 3 3 0.6 50 50 17 +Manufacturer#3 almond antique misty red olive 1 4 4 0.8 51 1 14 +Manufacturer#3 almond antique olive coral navajo 45 5 5 1.0 96 45 19 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 0.2 10 17 10 +Manufacturer#4 almond antique violet mint lemon 39 2 2 0.4 49 39 10 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 0.6 76 27 10 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 0.8 83 7 39 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 1.0 95 29 27 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 0.2 31 31 31 +Manufacturer#5 almond antique medium spring khaki 6 2 2 0.4 37 8 31 +Manufacturer#5 almond antique sky peru orange 2 3 3 0.6 39 2 31 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 0.8 85 46 6 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 1.0 108 23 2 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 17. testCountStar-0-1b1fc185c8fddf68e58e92f29052ab2d b/sql/hive/src/test/resources/golden/windowing.q -- 17. testCountStar-0-1b1fc185c8fddf68e58e92f29052ab2d new file mode 100644 index 0000000000..b1309a497d --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 17. testCountStar-0-1b1fc185c8fddf68e58e92f29052ab2d @@ -0,0 +1,26 @@ +Manufacturer#1 almond antique burnished rose metallic 2 2 2 2 +Manufacturer#1 almond antique burnished rose metallic 2 2 2 2 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 3 2 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 4 2 +Manufacturer#1 almond aquamarine burnished black steel 28 5 5 34 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 6 6 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 14 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 14 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 14 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 40 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 2 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 17 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 17 +Manufacturer#3 almond antique metallic orange dim 19 3 3 17 +Manufacturer#3 almond antique misty red olive 1 4 4 14 +Manufacturer#3 almond antique olive coral navajo 45 5 5 19 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 10 +Manufacturer#4 almond antique violet mint lemon 39 2 2 10 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 10 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 39 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 27 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 31 +Manufacturer#5 almond antique medium spring khaki 6 2 2 31 +Manufacturer#5 almond antique sky peru orange 2 3 3 31 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 6 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 2 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 18. testUDAFs-0-6974e5959e41a661e09db18547fef58a b/sql/hive/src/test/resources/golden/windowing.q -- 18. testUDAFs-0-6974e5959e41a661e09db18547fef58a new file mode 100644 index 0000000000..52d2ee8d0c --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 18. testUDAFs-0-6974e5959e41a661e09db18547fef58a @@ -0,0 +1,26 @@ +Manufacturer#1 almond antique burnished rose metallic 2 4100.06 1173.15 1753.76 1366.6866666666667 +Manufacturer#1 almond antique burnished rose metallic 2 5702.650000000001 1173.15 1753.76 1425.6625000000001 +Manufacturer#1 almond antique chartreuse lavender yellow 34 7117.070000000001 1173.15 1753.76 1423.4140000000002 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 7576.58 1173.15 1753.76 1515.316 +Manufacturer#1 almond aquamarine burnished black steel 28 6403.43 1414.42 1753.76 1600.8575 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 4649.67 1414.42 1632.66 1549.89 +Manufacturer#2 almond antique violet chocolate turquoise 14 5523.360000000001 1690.68 2031.98 1841.1200000000001 +Manufacturer#2 almond antique violet turquoise frosted 40 7222.02 1690.68 2031.98 1805.505 +Manufacturer#2 almond aquamarine midnight light salmon 2 8923.62 1690.68 2031.98 1784.7240000000002 +Manufacturer#2 almond aquamarine rose maroon antique 25 7232.9400000000005 1698.66 2031.98 1808.2350000000001 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5432.24 1698.66 2031.98 1810.7466666666667 +Manufacturer#3 almond antique chartreuse khaki white 17 4272.34 1190.27 1671.68 1424.1133333333335 +Manufacturer#3 almond antique forest lavender goldenrod 14 6195.32 1190.27 1922.98 1548.83 +Manufacturer#3 almond antique metallic orange dim 19 7532.61 1190.27 1922.98 1506.522 +Manufacturer#3 almond antique misty red olive 1 5860.929999999999 1190.27 1922.98 1465.2324999999998 +Manufacturer#3 almond antique olive coral navajo 45 4670.66 1337.29 1922.98 1556.8866666666665 +Manufacturer#4 almond antique gainsboro frosted violet 10 4202.35 1206.26 1620.67 1400.7833333333335 +Manufacturer#4 almond antique violet mint lemon 39 6047.27 1206.26 1844.92 1511.8175 +Manufacturer#4 almond aquamarine floral ivory bisque 27 7337.620000000001 1206.26 1844.92 1467.5240000000001 +Manufacturer#4 almond aquamarine yellow dodger mint 7 5716.950000000001 1206.26 1844.92 1429.2375000000002 +Manufacturer#4 almond azure aquamarine papaya violet 12 4341.530000000001 1206.26 1844.92 1447.176666666667 +Manufacturer#5 almond antique blue firebrick mint 31 5190.08 1611.66 1789.69 1730.0266666666666 +Manufacturer#5 almond antique medium spring khaki 6 6208.18 1018.1 1789.69 1552.045 +Manufacturer#5 almond antique sky peru orange 2 7672.66 1018.1 1789.69 1534.532 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 5882.970000000001 1018.1 1788.73 1470.7425000000003 +Manufacturer#5 almond azure blanched chiffon midnight 23 4271.3099999999995 1018.1 1788.73 1423.7699999999998 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 19. testUDAFsWithGBY-0-67d15ee5915ac64a738fd4b60d75eb35 b/sql/hive/src/test/resources/golden/windowing.q -- 19. testUDAFsWithGBY-0-67d15ee5915ac64a738fd4b60d75eb35 new file mode 100644 index 0000000000..6461642d34 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 19. testUDAFsWithGBY-0-67d15ee5915ac64a738fd4b60d75eb35 @@ -0,0 +1,25 @@ +Manufacturer#1 almond antique burnished rose metallic 2 1173.15 4529.5 1173.15 1173.15 1509.8333333333333 +Manufacturer#1 almond antique chartreuse lavender yellow 34 1753.76 5943.92 1753.76 1753.76 1485.98 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 1602.59 7576.58 1602.59 1602.59 1515.316 +Manufacturer#1 almond aquamarine burnished black steel 28 1414.42 6403.43 1414.42 1414.42 1600.8575 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 1632.66 4649.67 1632.66 1632.66 1549.89 +Manufacturer#2 almond antique violet chocolate turquoise 14 1690.68 5523.360000000001 1690.68 1690.68 1841.1200000000001 +Manufacturer#2 almond antique violet turquoise frosted 40 1800.7 7222.02 1800.7 1800.7 1805.505 +Manufacturer#2 almond aquamarine midnight light salmon 2 2031.98 8923.62 2031.98 2031.98 1784.7240000000002 +Manufacturer#2 almond aquamarine rose maroon antique 25 1698.66 7232.9400000000005 1698.66 1698.66 1808.2350000000001 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 1701.6 5432.24 1701.6 1701.6 1810.7466666666667 +Manufacturer#3 almond antique chartreuse khaki white 17 1671.68 4272.34 1671.68 1671.68 1424.1133333333335 +Manufacturer#3 almond antique forest lavender goldenrod 14 1190.27 6195.32 1190.27 1190.27 1548.83 +Manufacturer#3 almond antique metallic orange dim 19 1410.39 7532.61 1410.39 1410.39 1506.522 +Manufacturer#3 almond antique misty red olive 1 1922.98 5860.929999999999 1922.98 1922.98 1465.2324999999998 +Manufacturer#3 almond antique olive coral navajo 45 1337.29 4670.66 1337.29 1337.29 1556.8866666666665 +Manufacturer#4 almond antique gainsboro frosted violet 10 1620.67 4202.35 1620.67 1620.67 1400.7833333333335 +Manufacturer#4 almond antique violet mint lemon 39 1375.42 6047.27 1375.42 1375.42 1511.8175 +Manufacturer#4 almond aquamarine floral ivory bisque 27 1206.26 7337.620000000001 1206.26 1206.26 1467.5240000000001 +Manufacturer#4 almond aquamarine yellow dodger mint 7 1844.92 5716.950000000001 1844.92 1844.92 1429.2375000000002 +Manufacturer#4 almond azure aquamarine papaya violet 12 1290.35 4341.530000000001 1290.35 1290.35 1447.176666666667 +Manufacturer#5 almond antique blue firebrick mint 31 1789.69 5190.08 1789.69 1789.69 1730.0266666666666 +Manufacturer#5 almond antique medium spring khaki 6 1611.66 6208.18 1611.66 1611.66 1552.045 +Manufacturer#5 almond antique sky peru orange 2 1788.73 7672.66 1788.73 1788.73 1534.532 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 1018.1 5882.970000000001 1018.1 1018.1 1470.7425000000003 +Manufacturer#5 almond azure blanched chiffon midnight 23 1464.48 4271.3099999999995 1464.48 1464.48 1423.7699999999998 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 2. testGroupByWithPartitioning-0-cb5618b1e626f3a9d4a030b508b5d251 b/sql/hive/src/test/resources/golden/windowing.q -- 2. testGroupByWithPartitioning-0-cb5618b1e626f3a9d4a030b508b5d251 new file mode 100644 index 0000000000..2c30e652aa --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 2. testGroupByWithPartitioning-0-cb5618b1e626f3a9d4a030b508b5d251 @@ -0,0 +1,25 @@ +Manufacturer#1 almond antique burnished rose metallic 2 1173.15 1 1 2 0 +Manufacturer#1 almond antique chartreuse lavender yellow 34 1753.76 2 2 34 32 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 1602.59 3 3 6 -28 +Manufacturer#1 almond aquamarine burnished black steel 28 1414.42 4 4 28 22 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 1632.66 5 5 42 14 +Manufacturer#2 almond antique violet chocolate turquoise 14 1690.68 1 1 14 0 +Manufacturer#2 almond antique violet turquoise frosted 40 1800.7 2 2 40 26 +Manufacturer#2 almond aquamarine midnight light salmon 2 2031.98 3 3 2 -38 +Manufacturer#2 almond aquamarine rose maroon antique 25 1698.66 4 4 25 23 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 1701.6 5 5 18 -7 +Manufacturer#3 almond antique chartreuse khaki white 17 1671.68 1 1 17 0 +Manufacturer#3 almond antique forest lavender goldenrod 14 1190.27 2 2 14 -3 +Manufacturer#3 almond antique metallic orange dim 19 1410.39 3 3 19 5 +Manufacturer#3 almond antique misty red olive 1 1922.98 4 4 1 -18 +Manufacturer#3 almond antique olive coral navajo 45 1337.29 5 5 45 44 +Manufacturer#4 almond antique gainsboro frosted violet 10 1620.67 1 1 10 0 +Manufacturer#4 almond antique violet mint lemon 39 1375.42 2 2 39 29 +Manufacturer#4 almond aquamarine floral ivory bisque 27 1206.26 3 3 27 -12 +Manufacturer#4 almond aquamarine yellow dodger mint 7 1844.92 4 4 7 -20 +Manufacturer#4 almond azure aquamarine papaya violet 12 1290.35 5 5 12 5 +Manufacturer#5 almond antique blue firebrick mint 31 1789.69 1 1 31 0 +Manufacturer#5 almond antique medium spring khaki 6 1611.66 2 2 6 -25 +Manufacturer#5 almond antique sky peru orange 2 1788.73 3 3 2 -4 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 1018.1 4 4 46 44 +Manufacturer#5 almond azure blanched chiffon midnight 23 1464.48 5 5 23 -23 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 20. testSTATs-0-da0e0cca69e42118a96b8609b8fa5838 b/sql/hive/src/test/resources/golden/windowing.q -- 20. testSTATs-0-da0e0cca69e42118a96b8609b8fa5838 new file mode 100644 index 0000000000..1f7e8a5d67 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 20. testSTATs-0-da0e0cca69e42118a96b8609b8fa5838 @@ -0,0 +1,26 @@ +Manufacturer#1 almond antique burnished rose metallic 2 273.70217881648074 273.70217881648074 [34,2] 74912.8826888888 1.0 4128.782222222221 +Manufacturer#1 almond antique burnished rose metallic 2 258.10677784349235 258.10677784349235 [34,2,6] 66619.10876874991 0.811328754177887 2801.7074999999995 +Manufacturer#1 almond antique chartreuse lavender yellow 34 230.90151585470358 230.90151585470358 [34,2,6,28] 53315.51002399992 0.695639377397664 2210.7864 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 202.73109328368946 202.73109328368946 [34,2,6,42,28] 41099.896184 0.630785977101214 2009.9536000000007 +Manufacturer#1 almond aquamarine burnished black steel 28 121.6064517973862 121.6064517973862 [34,6,42,28] 14788.129118750014 0.2036684720435979 331.1337500000004 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 96.5751586416853 96.5751586416853 [6,42,28] 9326.761266666683 -1.4442181184933883E-4 -0.20666666666708502 +Manufacturer#2 almond antique violet chocolate turquoise 14 142.2363169751898 142.2363169751898 [2,40,14] 20231.169866666663 -0.49369526554523185 -1113.7466666666658 +Manufacturer#2 almond antique violet turquoise frosted 40 137.76306498840682 137.76306498840682 [2,25,40,14] 18978.662075 -0.5205630897335946 -1004.4812499999995 +Manufacturer#2 almond aquamarine midnight light salmon 2 130.03972279269132 130.03972279269132 [2,18,25,40,14] 16910.329504000005 -0.46908967495720255 -766.1791999999995 +Manufacturer#2 almond aquamarine rose maroon antique 25 135.55100986344584 135.55100986344584 [2,18,25,40] 18374.07627499999 -0.6091405874714462 -1128.1787499999987 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 156.44019460768044 156.44019460768044 [2,18,25] 24473.534488888927 -0.9571686373491608 -1441.4466666666676 +Manufacturer#3 almond antique chartreuse khaki white 17 196.7742266885805 196.7742266885805 [17,19,14] 38720.09628888887 0.5557168646224995 224.6944444444446 +Manufacturer#3 almond antique forest lavender goldenrod 14 275.14144189852607 275.14144189852607 [17,1,19,14] 75702.81305 -0.6720833036576083 -1296.9000000000003 +Manufacturer#3 almond antique metallic orange dim 19 260.23473614412046 260.23473614412046 [17,1,19,14,45] 67722.117896 -0.5703526513979519 -2129.0664 +Manufacturer#3 almond antique misty red olive 1 275.9139962356932 275.9139962356932 [1,19,14,45] 76128.53331875012 -0.577476899644802 -2547.7868749999993 +Manufacturer#3 almond antique olive coral navajo 45 260.5815918713796 260.5815918713796 [1,19,45] 67902.76602222225 -0.8710736366736884 -4099.731111111111 +Manufacturer#4 almond antique gainsboro frosted violet 10 170.13011889596618 170.13011889596618 [39,27,10] 28944.25735555559 -0.6656975320098423 -1347.4777777777779 +Manufacturer#4 almond antique violet mint lemon 39 242.26834609323197 242.26834609323197 [39,7,27,10] 58693.95151875002 -0.8051852719193339 -2537.328125 +Manufacturer#4 almond aquamarine floral ivory bisque 27 234.10001662537326 234.10001662537326 [39,7,27,10,12] 54802.817784000035 -0.6046935574240581 -1719.8079999999995 +Manufacturer#4 almond aquamarine yellow dodger mint 7 247.3342714197732 247.3342714197732 [39,7,27,12] 61174.24181875003 -0.5508665654707869 -1719.0368749999975 +Manufacturer#4 almond azure aquamarine papaya violet 12 283.3344330566893 283.3344330566893 [7,27,12] 80278.40095555557 -0.7755740084632333 -1867.4888888888881 +Manufacturer#5 almond antique blue firebrick mint 31 83.69879024746363 83.69879024746363 [2,6,31] 7005.487488888913 0.39004303087285047 418.9233333333353 +Manufacturer#5 almond antique medium spring khaki 6 316.68049612345885 316.68049612345885 [2,6,46,31] 100286.53662500004 -0.713612911776183 -4090.853749999999 +Manufacturer#5 almond antique sky peru orange 2 285.40506298242155 285.40506298242155 [2,23,6,46,31] 81456.04997600002 -0.712858514567818 -3297.2011999999986 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 285.43749038756283 285.43749038756283 [2,23,6,46] 81474.56091875004 -0.984128787153391 -4871.028125000002 +Manufacturer#5 almond azure blanched chiffon midnight 23 315.9225931564038 315.9225931564038 [2,23,46] 99807.08486666664 -0.9978877469246936 -5664.856666666666 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 21. testDISTs-0-672d4cb385b7ced2e446f132474293ad b/sql/hive/src/test/resources/golden/windowing.q -- 21. testDISTs-0-672d4cb385b7ced2e446f132474293ad new file mode 100644 index 0000000000..e7c39f454f --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 21. testDISTs-0-672d4cb385b7ced2e446f132474293ad @@ -0,0 +1,26 @@ +Manufacturer#1 almond antique burnished rose metallic 2 [{"x":1173.15,"y":2.0},{"x":1753.76,"y":1.0}] 121152.0 1 +Manufacturer#1 almond antique burnished rose metallic 2 [{"x":1173.15,"y":2.0},{"x":1602.59,"y":1.0},{"x":1753.76,"y":1.0}] 115872.0 2 +Manufacturer#1 almond antique chartreuse lavender yellow 34 [{"x":1173.15,"y":2.0},{"x":1414.42,"y":1.0},{"x":1602.59,"y":1.0},{"x":1753.76,"y":1.0}] 110592.0 3 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 [{"x":1173.15,"y":1.0},{"x":1414.42,"y":1.0},{"x":1602.59,"y":1.0},{"x":1632.66,"y":1.0},{"x":1753.76,"y":1.0}] 86428.0 4 +Manufacturer#1 almond aquamarine burnished black steel 28 [{"x":1414.42,"y":1.0},{"x":1602.59,"y":1.0},{"x":1632.66,"y":1.0},{"x":1753.76,"y":1.0}] 86098.0 5 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 [{"x":1414.42,"y":1.0},{"x":1602.59,"y":1.0},{"x":1632.66,"y":1.0}] 86428.0 6 +Manufacturer#2 almond antique violet chocolate turquoise 14 [{"x":1690.68,"y":1.0},{"x":1800.7,"y":1.0},{"x":2031.98,"y":1.0}] 146985.0 1 +Manufacturer#2 almond antique violet turquoise frosted 40 [{"x":1690.68,"y":1.0},{"x":1698.66,"y":1.0},{"x":1800.7,"y":1.0},{"x":2031.98,"y":1.0}] 139825.5 2 +Manufacturer#2 almond aquamarine midnight light salmon 2 [{"x":1690.68,"y":1.0},{"x":1698.66,"y":1.0},{"x":1701.6,"y":1.0},{"x":1800.7,"y":1.0},{"x":2031.98,"y":1.0}] 146985.0 3 +Manufacturer#2 almond aquamarine rose maroon antique 25 [{"x":1698.66,"y":1.0},{"x":1701.6,"y":1.0},{"x":1800.7,"y":1.0},{"x":2031.98,"y":1.0}] 169347.0 4 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 [{"x":1698.66,"y":1.0},{"x":1701.6,"y":1.0},{"x":2031.98,"y":1.0}] 146985.0 5 +Manufacturer#3 almond antique chartreuse khaki white 17 [{"x":1190.27,"y":1.0},{"x":1410.39,"y":1.0},{"x":1671.68,"y":1.0}] 90681.0 1 +Manufacturer#3 almond antique forest lavender goldenrod 14 [{"x":1190.27,"y":1.0},{"x":1410.39,"y":1.0},{"x":1671.68,"y":1.0},{"x":1922.98,"y":1.0}] 65831.5 2 +Manufacturer#3 almond antique metallic orange dim 19 [{"x":1190.27,"y":1.0},{"x":1337.29,"y":1.0},{"x":1410.39,"y":1.0},{"x":1671.68,"y":1.0},{"x":1922.98,"y":1.0}] 90681.0 3 +Manufacturer#3 almond antique misty red olive 1 [{"x":1190.27,"y":1.0},{"x":1337.29,"y":1.0},{"x":1410.39,"y":1.0},{"x":1922.98,"y":1.0}] 76690.0 4 +Manufacturer#3 almond antique olive coral navajo 45 [{"x":1337.29,"y":1.0},{"x":1410.39,"y":1.0},{"x":1922.98,"y":1.0}] 112398.0 5 +Manufacturer#4 almond antique gainsboro frosted violet 10 [{"x":1206.26,"y":1.0},{"x":1375.42,"y":1.0},{"x":1620.67,"y":1.0}] 48427.0 1 +Manufacturer#4 almond antique violet mint lemon 39 [{"x":1206.26,"y":1.0},{"x":1375.42,"y":1.0},{"x":1620.67,"y":1.0},{"x":1844.92,"y":1.0}] 46844.0 2 +Manufacturer#4 almond aquamarine floral ivory bisque 27 [{"x":1206.26,"y":1.0},{"x":1290.35,"y":1.0},{"x":1375.42,"y":1.0},{"x":1620.67,"y":1.0},{"x":1844.92,"y":1.0}] 45261.0 3 +Manufacturer#4 almond aquamarine yellow dodger mint 7 [{"x":1206.26,"y":1.0},{"x":1290.35,"y":1.0},{"x":1375.42,"y":1.0},{"x":1844.92,"y":1.0}] 39309.0 4 +Manufacturer#4 almond azure aquamarine papaya violet 12 [{"x":1206.26,"y":1.0},{"x":1290.35,"y":1.0},{"x":1844.92,"y":1.0}] 33357.0 5 +Manufacturer#5 almond antique blue firebrick mint 31 [{"x":1611.66,"y":1.0},{"x":1788.73,"y":1.0},{"x":1789.69,"y":1.0}] 155733.0 1 +Manufacturer#5 almond antique medium spring khaki 6 [{"x":1018.1,"y":1.0},{"x":1611.66,"y":1.0},{"x":1788.73,"y":1.0},{"x":1789.69,"y":1.0}] 99201.0 2 +Manufacturer#5 almond antique sky peru orange 2 [{"x":1018.1,"y":1.0},{"x":1464.48,"y":1.0},{"x":1611.66,"y":1.0},{"x":1788.73,"y":1.0},{"x":1789.69,"y":1.0}] 78486.0 3 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 [{"x":1018.1,"y":1.0},{"x":1464.48,"y":1.0},{"x":1611.66,"y":1.0},{"x":1788.73,"y":1.0}] 60577.5 4 +Manufacturer#5 almond azure blanched chiffon midnight 23 [{"x":1018.1,"y":1.0},{"x":1464.48,"y":1.0},{"x":1788.73,"y":1.0}] 78486.0 5 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 24. testLateralViews-0-dea06072f0a64fe4537fae854944ed5a b/sql/hive/src/test/resources/golden/windowing.q -- 24. testLateralViews-0-dea06072f0a64fe4537fae854944ed5a new file mode 100644 index 0000000000..dc83c9fffe --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 24. testLateralViews-0-dea06072f0a64fe4537fae854944ed5a @@ -0,0 +1,78 @@ +Manufacturer#1 almond antique burnished rose metallic 1 2 2 +Manufacturer#1 almond antique burnished rose metallic 1 2 4 +Manufacturer#1 almond antique burnished rose metallic 2 2 6 +Manufacturer#1 almond antique burnished rose metallic 2 2 6 +Manufacturer#1 almond antique burnished rose metallic 3 2 6 +Manufacturer#1 almond antique burnished rose metallic 3 2 6 +Manufacturer#1 almond antique salmon chartreuse burlywood 1 6 10 +Manufacturer#1 almond antique salmon chartreuse burlywood 2 6 14 +Manufacturer#1 almond antique salmon chartreuse burlywood 3 6 18 +Manufacturer#1 almond aquamarine burnished black steel 1 28 40 +Manufacturer#1 almond aquamarine burnished black steel 2 28 62 +Manufacturer#1 almond aquamarine burnished black steel 3 28 84 +Manufacturer#1 almond antique chartreuse lavender yellow 1 34 90 +Manufacturer#1 almond antique chartreuse lavender yellow 2 34 96 +Manufacturer#1 almond antique chartreuse lavender yellow 3 34 102 +Manufacturer#1 almond aquamarine pink moccasin thistle 1 42 110 +Manufacturer#1 almond aquamarine pink moccasin thistle 2 42 118 +Manufacturer#1 almond aquamarine pink moccasin thistle 3 42 126 +Manufacturer#2 almond aquamarine midnight light salmon 1 2 2 +Manufacturer#2 almond aquamarine midnight light salmon 2 2 4 +Manufacturer#2 almond aquamarine midnight light salmon 3 2 6 +Manufacturer#2 almond antique violet chocolate turquoise 1 14 18 +Manufacturer#2 almond antique violet chocolate turquoise 2 14 30 +Manufacturer#2 almond antique violet chocolate turquoise 3 14 42 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1 18 46 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 2 18 50 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 3 18 54 +Manufacturer#2 almond aquamarine rose maroon antique 1 25 61 +Manufacturer#2 almond aquamarine rose maroon antique 2 25 68 +Manufacturer#2 almond aquamarine rose maroon antique 3 25 75 +Manufacturer#2 almond antique violet turquoise frosted 1 40 90 +Manufacturer#2 almond antique violet turquoise frosted 2 40 105 +Manufacturer#2 almond antique violet turquoise frosted 3 40 120 +Manufacturer#3 almond antique misty red olive 1 1 1 +Manufacturer#3 almond antique misty red olive 2 1 2 +Manufacturer#3 almond antique misty red olive 3 1 3 +Manufacturer#3 almond antique forest lavender goldenrod 1 14 16 +Manufacturer#3 almond antique forest lavender goldenrod 2 14 29 +Manufacturer#3 almond antique forest lavender goldenrod 3 14 42 +Manufacturer#3 almond antique chartreuse khaki white 1 17 45 +Manufacturer#3 almond antique chartreuse khaki white 2 17 48 +Manufacturer#3 almond antique chartreuse khaki white 3 17 51 +Manufacturer#3 almond antique metallic orange dim 1 19 53 +Manufacturer#3 almond antique metallic orange dim 2 19 55 +Manufacturer#3 almond antique metallic orange dim 3 19 57 +Manufacturer#3 almond antique olive coral navajo 1 45 83 +Manufacturer#3 almond antique olive coral navajo 2 45 109 +Manufacturer#3 almond antique olive coral navajo 3 45 135 +Manufacturer#4 almond aquamarine yellow dodger mint 1 7 7 +Manufacturer#4 almond aquamarine yellow dodger mint 2 7 14 +Manufacturer#4 almond aquamarine yellow dodger mint 3 7 21 +Manufacturer#4 almond antique gainsboro frosted violet 1 10 24 +Manufacturer#4 almond antique gainsboro frosted violet 2 10 27 +Manufacturer#4 almond antique gainsboro frosted violet 3 10 30 +Manufacturer#4 almond azure aquamarine papaya violet 1 12 32 +Manufacturer#4 almond azure aquamarine papaya violet 2 12 34 +Manufacturer#4 almond azure aquamarine papaya violet 3 12 36 +Manufacturer#4 almond aquamarine floral ivory bisque 1 27 51 +Manufacturer#4 almond aquamarine floral ivory bisque 2 27 66 +Manufacturer#4 almond aquamarine floral ivory bisque 3 27 81 +Manufacturer#4 almond antique violet mint lemon 1 39 93 +Manufacturer#4 almond antique violet mint lemon 2 39 105 +Manufacturer#4 almond antique violet mint lemon 3 39 117 +Manufacturer#5 almond antique sky peru orange 1 2 2 +Manufacturer#5 almond antique sky peru orange 2 2 4 +Manufacturer#5 almond antique sky peru orange 3 2 6 +Manufacturer#5 almond antique medium spring khaki 1 6 10 +Manufacturer#5 almond antique medium spring khaki 2 6 14 +Manufacturer#5 almond antique medium spring khaki 3 6 18 +Manufacturer#5 almond azure blanched chiffon midnight 1 23 35 +Manufacturer#5 almond azure blanched chiffon midnight 2 23 52 +Manufacturer#5 almond azure blanched chiffon midnight 3 23 69 +Manufacturer#5 almond antique blue firebrick mint 1 31 77 +Manufacturer#5 almond antique blue firebrick mint 2 31 85 +Manufacturer#5 almond antique blue firebrick mint 3 31 93 +Manufacturer#5 almond aquamarine dodger light gainsboro 1 46 108 +Manufacturer#5 almond aquamarine dodger light gainsboro 2 46 123 +Manufacturer#5 almond aquamarine dodger light gainsboro 3 46 138 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 26. testGroupByHavingWithSWQAndAlias-0-b996a664b06e5741c08079d5c38241bc b/sql/hive/src/test/resources/golden/windowing.q -- 26. testGroupByHavingWithSWQAndAlias-0-b996a664b06e5741c08079d5c38241bc new file mode 100644 index 0000000000..2c30e652aa --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 26. testGroupByHavingWithSWQAndAlias-0-b996a664b06e5741c08079d5c38241bc @@ -0,0 +1,25 @@ +Manufacturer#1 almond antique burnished rose metallic 2 1173.15 1 1 2 0 +Manufacturer#1 almond antique chartreuse lavender yellow 34 1753.76 2 2 34 32 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 1602.59 3 3 6 -28 +Manufacturer#1 almond aquamarine burnished black steel 28 1414.42 4 4 28 22 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 1632.66 5 5 42 14 +Manufacturer#2 almond antique violet chocolate turquoise 14 1690.68 1 1 14 0 +Manufacturer#2 almond antique violet turquoise frosted 40 1800.7 2 2 40 26 +Manufacturer#2 almond aquamarine midnight light salmon 2 2031.98 3 3 2 -38 +Manufacturer#2 almond aquamarine rose maroon antique 25 1698.66 4 4 25 23 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 1701.6 5 5 18 -7 +Manufacturer#3 almond antique chartreuse khaki white 17 1671.68 1 1 17 0 +Manufacturer#3 almond antique forest lavender goldenrod 14 1190.27 2 2 14 -3 +Manufacturer#3 almond antique metallic orange dim 19 1410.39 3 3 19 5 +Manufacturer#3 almond antique misty red olive 1 1922.98 4 4 1 -18 +Manufacturer#3 almond antique olive coral navajo 45 1337.29 5 5 45 44 +Manufacturer#4 almond antique gainsboro frosted violet 10 1620.67 1 1 10 0 +Manufacturer#4 almond antique violet mint lemon 39 1375.42 2 2 39 29 +Manufacturer#4 almond aquamarine floral ivory bisque 27 1206.26 3 3 27 -12 +Manufacturer#4 almond aquamarine yellow dodger mint 7 1844.92 4 4 7 -20 +Manufacturer#4 almond azure aquamarine papaya violet 12 1290.35 5 5 12 5 +Manufacturer#5 almond antique blue firebrick mint 31 1789.69 1 1 31 0 +Manufacturer#5 almond antique medium spring khaki 6 1611.66 2 2 6 -25 +Manufacturer#5 almond antique sky peru orange 2 1788.73 3 3 2 -4 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 1018.1 4 4 46 44 +Manufacturer#5 almond azure blanched chiffon midnight 23 1464.48 5 5 23 -23 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 27. testMultipleRangeWindows-0-227e080e337d734dd88ff814b3b412e4 b/sql/hive/src/test/resources/golden/windowing.q -- 27. testMultipleRangeWindows-0-227e080e337d734dd88ff814b3b412e4 new file mode 100644 index 0000000000..b2a91ba727 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 27. testMultipleRangeWindows-0-227e080e337d734dd88ff814b3b412e4 @@ -0,0 +1,26 @@ +Manufacturer#1 almond antique burnished rose metallic 2 4 10 +Manufacturer#1 almond antique burnished rose metallic 2 4 10 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 10 6 +Manufacturer#1 almond aquamarine burnished black steel 28 28 62 +Manufacturer#1 almond antique chartreuse lavender yellow 34 62 76 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 76 42 +Manufacturer#2 almond aquamarine midnight light salmon 2 2 2 +Manufacturer#2 almond antique violet chocolate turquoise 14 14 32 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 32 43 +Manufacturer#2 almond aquamarine rose maroon antique 25 43 25 +Manufacturer#2 almond antique violet turquoise frosted 40 40 40 +Manufacturer#3 almond antique misty red olive 1 1 1 +Manufacturer#3 almond antique forest lavender goldenrod 14 14 50 +Manufacturer#3 almond antique chartreuse khaki white 17 31 36 +Manufacturer#3 almond antique metallic orange dim 19 50 19 +Manufacturer#3 almond antique olive coral navajo 45 45 45 +Manufacturer#4 almond aquamarine yellow dodger mint 7 7 29 +Manufacturer#4 almond antique gainsboro frosted violet 10 17 22 +Manufacturer#4 almond azure aquamarine papaya violet 12 29 12 +Manufacturer#4 almond aquamarine floral ivory bisque 27 27 27 +Manufacturer#4 almond antique violet mint lemon 39 39 39 +Manufacturer#5 almond antique sky peru orange 2 2 8 +Manufacturer#5 almond antique medium spring khaki 6 8 6 +Manufacturer#5 almond azure blanched chiffon midnight 23 23 54 +Manufacturer#5 almond antique blue firebrick mint 31 54 31 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 46 46 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 28. testPartOrderInUDAFInvoke-0-25912ae7d18c91cc09e17e57968fb5db b/sql/hive/src/test/resources/golden/windowing.q -- 28. testPartOrderInUDAFInvoke-0-25912ae7d18c91cc09e17e57968fb5db new file mode 100644 index 0000000000..5bcb0fa941 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 28. testPartOrderInUDAFInvoke-0-25912ae7d18c91cc09e17e57968fb5db @@ -0,0 +1,26 @@ +Manufacturer#1 almond antique burnished rose metallic 2 38 +Manufacturer#1 almond antique burnished rose metallic 2 44 +Manufacturer#1 almond antique chartreuse lavender yellow 34 72 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 112 +Manufacturer#1 almond aquamarine burnished black steel 28 110 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 76 +Manufacturer#2 almond antique violet chocolate turquoise 14 56 +Manufacturer#2 almond antique violet turquoise frosted 40 81 +Manufacturer#2 almond aquamarine midnight light salmon 2 99 +Manufacturer#2 almond aquamarine rose maroon antique 25 85 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 45 +Manufacturer#3 almond antique chartreuse khaki white 17 50 +Manufacturer#3 almond antique forest lavender goldenrod 14 51 +Manufacturer#3 almond antique metallic orange dim 19 96 +Manufacturer#3 almond antique misty red olive 1 79 +Manufacturer#3 almond antique olive coral navajo 45 65 +Manufacturer#4 almond antique gainsboro frosted violet 10 76 +Manufacturer#4 almond antique violet mint lemon 39 83 +Manufacturer#4 almond aquamarine floral ivory bisque 27 95 +Manufacturer#4 almond aquamarine yellow dodger mint 7 85 +Manufacturer#4 almond azure aquamarine papaya violet 12 46 +Manufacturer#5 almond antique blue firebrick mint 31 39 +Manufacturer#5 almond antique medium spring khaki 6 85 +Manufacturer#5 almond antique sky peru orange 2 108 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 77 +Manufacturer#5 almond azure blanched chiffon midnight 23 71 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 29. testPartOrderInWdwDef-0-88945892370ccbc1125a927a3d55342a b/sql/hive/src/test/resources/golden/windowing.q -- 29. testPartOrderInWdwDef-0-88945892370ccbc1125a927a3d55342a new file mode 100644 index 0000000000..5bcb0fa941 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 29. testPartOrderInWdwDef-0-88945892370ccbc1125a927a3d55342a @@ -0,0 +1,26 @@ +Manufacturer#1 almond antique burnished rose metallic 2 38 +Manufacturer#1 almond antique burnished rose metallic 2 44 +Manufacturer#1 almond antique chartreuse lavender yellow 34 72 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 112 +Manufacturer#1 almond aquamarine burnished black steel 28 110 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 76 +Manufacturer#2 almond antique violet chocolate turquoise 14 56 +Manufacturer#2 almond antique violet turquoise frosted 40 81 +Manufacturer#2 almond aquamarine midnight light salmon 2 99 +Manufacturer#2 almond aquamarine rose maroon antique 25 85 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 45 +Manufacturer#3 almond antique chartreuse khaki white 17 50 +Manufacturer#3 almond antique forest lavender goldenrod 14 51 +Manufacturer#3 almond antique metallic orange dim 19 96 +Manufacturer#3 almond antique misty red olive 1 79 +Manufacturer#3 almond antique olive coral navajo 45 65 +Manufacturer#4 almond antique gainsboro frosted violet 10 76 +Manufacturer#4 almond antique violet mint lemon 39 83 +Manufacturer#4 almond aquamarine floral ivory bisque 27 95 +Manufacturer#4 almond aquamarine yellow dodger mint 7 85 +Manufacturer#4 almond azure aquamarine papaya violet 12 46 +Manufacturer#5 almond antique blue firebrick mint 31 39 +Manufacturer#5 almond antique medium spring khaki 6 85 +Manufacturer#5 almond antique sky peru orange 2 108 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 77 +Manufacturer#5 almond azure blanched chiffon midnight 23 71 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 3. testGroupByHavingWithSWQ-0-a5a5339330a6a6660d32ccb0cc5d7100 b/sql/hive/src/test/resources/golden/windowing.q -- 3. testGroupByHavingWithSWQ-0-a5a5339330a6a6660d32ccb0cc5d7100 new file mode 100644 index 0000000000..2c30e652aa --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 3. testGroupByHavingWithSWQ-0-a5a5339330a6a6660d32ccb0cc5d7100 @@ -0,0 +1,25 @@ +Manufacturer#1 almond antique burnished rose metallic 2 1173.15 1 1 2 0 +Manufacturer#1 almond antique chartreuse lavender yellow 34 1753.76 2 2 34 32 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 1602.59 3 3 6 -28 +Manufacturer#1 almond aquamarine burnished black steel 28 1414.42 4 4 28 22 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 1632.66 5 5 42 14 +Manufacturer#2 almond antique violet chocolate turquoise 14 1690.68 1 1 14 0 +Manufacturer#2 almond antique violet turquoise frosted 40 1800.7 2 2 40 26 +Manufacturer#2 almond aquamarine midnight light salmon 2 2031.98 3 3 2 -38 +Manufacturer#2 almond aquamarine rose maroon antique 25 1698.66 4 4 25 23 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 1701.6 5 5 18 -7 +Manufacturer#3 almond antique chartreuse khaki white 17 1671.68 1 1 17 0 +Manufacturer#3 almond antique forest lavender goldenrod 14 1190.27 2 2 14 -3 +Manufacturer#3 almond antique metallic orange dim 19 1410.39 3 3 19 5 +Manufacturer#3 almond antique misty red olive 1 1922.98 4 4 1 -18 +Manufacturer#3 almond antique olive coral navajo 45 1337.29 5 5 45 44 +Manufacturer#4 almond antique gainsboro frosted violet 10 1620.67 1 1 10 0 +Manufacturer#4 almond antique violet mint lemon 39 1375.42 2 2 39 29 +Manufacturer#4 almond aquamarine floral ivory bisque 27 1206.26 3 3 27 -12 +Manufacturer#4 almond aquamarine yellow dodger mint 7 1844.92 4 4 7 -20 +Manufacturer#4 almond azure aquamarine papaya violet 12 1290.35 5 5 12 5 +Manufacturer#5 almond antique blue firebrick mint 31 1789.69 1 1 31 0 +Manufacturer#5 almond antique medium spring khaki 6 1611.66 2 2 6 -25 +Manufacturer#5 almond antique sky peru orange 2 1788.73 3 3 2 -4 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 1018.1 4 4 46 44 +Manufacturer#5 almond azure blanched chiffon midnight 23 1464.48 5 5 23 -23 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 30. testDefaultPartitioningSpecRules-0-fa80b09c99e3c1487de48ea71a88dada b/sql/hive/src/test/resources/golden/windowing.q -- 30. testDefaultPartitioningSpecRules-0-fa80b09c99e3c1487de48ea71a88dada new file mode 100644 index 0000000000..698a44349d --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 30. testDefaultPartitioningSpecRules-0-fa80b09c99e3c1487de48ea71a88dada @@ -0,0 +1,26 @@ +Manufacturer#1 almond antique burnished rose metallic 2 38 4 +Manufacturer#1 almond antique burnished rose metallic 2 44 4 +Manufacturer#1 almond antique chartreuse lavender yellow 34 72 38 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 112 44 +Manufacturer#1 almond aquamarine burnished black steel 28 110 72 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 76 114 +Manufacturer#2 almond antique violet chocolate turquoise 14 56 14 +Manufacturer#2 almond antique violet turquoise frosted 40 81 54 +Manufacturer#2 almond aquamarine midnight light salmon 2 99 56 +Manufacturer#2 almond aquamarine rose maroon antique 25 85 81 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 45 99 +Manufacturer#3 almond antique chartreuse khaki white 17 50 17 +Manufacturer#3 almond antique forest lavender goldenrod 14 51 31 +Manufacturer#3 almond antique metallic orange dim 19 96 50 +Manufacturer#3 almond antique misty red olive 1 79 51 +Manufacturer#3 almond antique olive coral navajo 45 65 96 +Manufacturer#4 almond antique gainsboro frosted violet 10 76 10 +Manufacturer#4 almond antique violet mint lemon 39 83 49 +Manufacturer#4 almond aquamarine floral ivory bisque 27 95 76 +Manufacturer#4 almond aquamarine yellow dodger mint 7 85 83 +Manufacturer#4 almond azure aquamarine papaya violet 12 46 95 +Manufacturer#5 almond antique blue firebrick mint 31 39 31 +Manufacturer#5 almond antique medium spring khaki 6 85 37 +Manufacturer#5 almond antique sky peru orange 2 108 39 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 77 85 +Manufacturer#5 almond azure blanched chiffon midnight 23 71 108 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 36. testRankWithPartitioning-0-45ccbaf0ee083858f7661c66b11d4768 b/sql/hive/src/test/resources/golden/windowing.q -- 36. testRankWithPartitioning-0-45ccbaf0ee083858f7661c66b11d4768 new file mode 100644 index 0000000000..e35257d983 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 36. testRankWithPartitioning-0-45ccbaf0ee083858f7661c66b11d4768 @@ -0,0 +1,26 @@ +Manufacturer#1 almond antique burnished rose metallic 2 1 +Manufacturer#1 almond antique burnished rose metallic 2 1 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 +Manufacturer#1 almond aquamarine burnished black steel 28 5 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 +Manufacturer#2 almond antique violet turquoise frosted 40 2 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 +Manufacturer#3 almond antique chartreuse khaki white 17 1 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 +Manufacturer#3 almond antique metallic orange dim 19 3 +Manufacturer#3 almond antique misty red olive 1 4 +Manufacturer#3 almond antique olive coral navajo 45 5 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 +Manufacturer#4 almond antique violet mint lemon 39 2 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 +Manufacturer#5 almond antique blue firebrick mint 31 1 +Manufacturer#5 almond antique medium spring khaki 6 2 +Manufacturer#5 almond antique sky peru orange 2 3 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 37. testPartitioningVariousForms-0-3436e50214f9afdec84334e10faa931a b/sql/hive/src/test/resources/golden/windowing.q -- 37. testPartitioningVariousForms-0-3436e50214f9afdec84334e10faa931a new file mode 100644 index 0000000000..9c0ca6c7a0 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 37. testPartitioningVariousForms-0-3436e50214f9afdec84334e10faa931a @@ -0,0 +1,26 @@ +Manufacturer#1 8749.73 1173.15 1753.76 1458.29 6 +Manufacturer#1 8749.73 1173.15 1753.76 1458.29 6 +Manufacturer#1 8749.73 1173.15 1753.76 1458.29 6 +Manufacturer#1 8749.73 1173.15 1753.76 1458.29 6 +Manufacturer#1 8749.73 1173.15 1753.76 1458.29 6 +Manufacturer#1 8749.73 1173.15 1753.76 1458.29 6 +Manufacturer#2 8923.62 1690.68 2031.98 1784.72 5 +Manufacturer#2 8923.62 1690.68 2031.98 1784.72 5 +Manufacturer#2 8923.62 1690.68 2031.98 1784.72 5 +Manufacturer#2 8923.62 1690.68 2031.98 1784.72 5 +Manufacturer#2 8923.62 1690.68 2031.98 1784.72 5 +Manufacturer#3 7532.61 1190.27 1922.98 1506.52 5 +Manufacturer#3 7532.61 1190.27 1922.98 1506.52 5 +Manufacturer#3 7532.61 1190.27 1922.98 1506.52 5 +Manufacturer#3 7532.61 1190.27 1922.98 1506.52 5 +Manufacturer#3 7532.61 1190.27 1922.98 1506.52 5 +Manufacturer#4 7337.62 1206.26 1844.92 1467.52 5 +Manufacturer#4 7337.62 1206.26 1844.92 1467.52 5 +Manufacturer#4 7337.62 1206.26 1844.92 1467.52 5 +Manufacturer#4 7337.62 1206.26 1844.92 1467.52 5 +Manufacturer#4 7337.62 1206.26 1844.92 1467.52 5 +Manufacturer#5 7672.66 1018.1 1789.69 1534.53 5 +Manufacturer#5 7672.66 1018.1 1789.69 1534.53 5 +Manufacturer#5 7672.66 1018.1 1789.69 1534.53 5 +Manufacturer#5 7672.66 1018.1 1789.69 1534.53 5 +Manufacturer#5 7672.66 1018.1 1789.69 1534.53 5 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 38. testPartitioningVariousForms2-0-cba9d84a6b1bb5e36595338d4602377e b/sql/hive/src/test/resources/golden/windowing.q -- 38. testPartitioningVariousForms2-0-cba9d84a6b1bb5e36595338d4602377e new file mode 100644 index 0000000000..fc27df2f2b --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 38. testPartitioningVariousForms2-0-cba9d84a6b1bb5e36595338d4602377e @@ -0,0 +1,26 @@ +Manufacturer#1 almond antique burnished rose metallic 2 1173.15 1173.15 1173.15 +Manufacturer#1 almond antique burnished rose metallic 2 2346.3 1173.15 1173.15 +Manufacturer#1 almond antique chartreuse lavender yellow 34 1753.76 1753.76 1753.76 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 1602.59 1602.59 1602.59 +Manufacturer#1 almond aquamarine burnished black steel 28 1414.42 1414.42 1414.42 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 1632.66 1632.66 1632.66 +Manufacturer#2 almond antique violet chocolate turquoise 14 1690.68 1690.68 1690.68 +Manufacturer#2 almond antique violet turquoise frosted 40 1800.7 1800.7 1800.7 +Manufacturer#2 almond aquamarine midnight light salmon 2 2031.98 2031.98 2031.98 +Manufacturer#2 almond aquamarine rose maroon antique 25 1698.66 1698.66 1698.66 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 1701.6 1701.6 1701.6 +Manufacturer#3 almond antique chartreuse khaki white 17 1671.68 1671.68 1671.68 +Manufacturer#3 almond antique forest lavender goldenrod 14 1190.27 1190.27 1190.27 +Manufacturer#3 almond antique metallic orange dim 19 1410.39 1410.39 1410.39 +Manufacturer#3 almond antique misty red olive 1 1922.98 1922.98 1922.98 +Manufacturer#3 almond antique olive coral navajo 45 1337.29 1337.29 1337.29 +Manufacturer#4 almond antique gainsboro frosted violet 10 1620.67 1620.67 1620.67 +Manufacturer#4 almond antique violet mint lemon 39 1375.42 1375.42 1375.42 +Manufacturer#4 almond aquamarine floral ivory bisque 27 1206.26 1206.26 1206.26 +Manufacturer#4 almond aquamarine yellow dodger mint 7 1844.92 1844.92 1844.92 +Manufacturer#4 almond azure aquamarine papaya violet 12 1290.35 1290.35 1290.35 +Manufacturer#5 almond antique blue firebrick mint 31 1789.69 1789.69 1789.69 +Manufacturer#5 almond antique medium spring khaki 6 1611.66 1611.66 1611.66 +Manufacturer#5 almond antique sky peru orange 2 1788.73 1788.73 1788.73 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 1018.1 1018.1 1018.1 +Manufacturer#5 almond azure blanched chiffon midnight 23 1464.48 1464.48 1464.48 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 39. testUDFOnOrderCols-0-7647562850dd367ef1e6c63117805423 b/sql/hive/src/test/resources/golden/windowing.q -- 39. testUDFOnOrderCols-0-7647562850dd367ef1e6c63117805423 new file mode 100644 index 0000000000..e5a541f56f --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 39. testUDFOnOrderCols-0-7647562850dd367ef1e6c63117805423 @@ -0,0 +1,26 @@ +Manufacturer#1 LARGE BRUSHED STEEL ARGE BRUSHED STEEL 1 +Manufacturer#1 LARGE BURNISHED STEEL ARGE BURNISHED STEEL 2 +Manufacturer#1 PROMO BURNISHED NICKEL ROMO BURNISHED NICKEL 3 +Manufacturer#1 PROMO PLATED TIN ROMO PLATED TIN 4 +Manufacturer#1 PROMO PLATED TIN ROMO PLATED TIN 4 +Manufacturer#1 STANDARD ANODIZED STEEL TANDARD ANODIZED STEEL 6 +Manufacturer#2 ECONOMY POLISHED STEEL CONOMY POLISHED STEEL 1 +Manufacturer#2 MEDIUM ANODIZED COPPER EDIUM ANODIZED COPPER 2 +Manufacturer#2 MEDIUM BURNISHED COPPER EDIUM BURNISHED COPPER 3 +Manufacturer#2 SMALL POLISHED NICKEL MALL POLISHED NICKEL 4 +Manufacturer#2 STANDARD PLATED TIN TANDARD PLATED TIN 5 +Manufacturer#3 ECONOMY PLATED COPPER CONOMY PLATED COPPER 1 +Manufacturer#3 MEDIUM BURNISHED BRASS EDIUM BURNISHED BRASS 2 +Manufacturer#3 MEDIUM BURNISHED TIN EDIUM BURNISHED TIN 3 +Manufacturer#3 PROMO ANODIZED TIN ROMO ANODIZED TIN 4 +Manufacturer#3 STANDARD POLISHED STEEL TANDARD POLISHED STEEL 5 +Manufacturer#4 ECONOMY BRUSHED COPPER CONOMY BRUSHED COPPER 1 +Manufacturer#4 SMALL BRUSHED BRASS MALL BRUSHED BRASS 2 +Manufacturer#4 SMALL PLATED STEEL MALL PLATED STEEL 3 +Manufacturer#4 PROMO POLISHED STEEL ROMO POLISHED STEEL 4 +Manufacturer#4 STANDARD ANODIZED TIN TANDARD ANODIZED TIN 5 +Manufacturer#5 LARGE BRUSHED BRASS ARGE BRUSHED BRASS 1 +Manufacturer#5 ECONOMY BURNISHED STEEL CONOMY BURNISHED STEEL 2 +Manufacturer#5 MEDIUM BURNISHED TIN EDIUM BURNISHED TIN 3 +Manufacturer#5 SMALL PLATED BRASS MALL PLATED BRASS 4 +Manufacturer#5 STANDARD BURNISHED TIN TANDARD BURNISHED TIN 5 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 4. testCount-0-e6e97e884327df86f16b870527ec026c b/sql/hive/src/test/resources/golden/windowing.q -- 4. testCount-0-e6e97e884327df86f16b870527ec026c new file mode 100644 index 0000000000..bf8e620a30 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 4. testCount-0-e6e97e884327df86f16b870527ec026c @@ -0,0 +1,26 @@ +Manufacturer#1 almond antique burnished rose metallic 2 +Manufacturer#1 almond antique burnished rose metallic 2 +Manufacturer#1 almond antique chartreuse lavender yellow 3 +Manufacturer#1 almond antique salmon chartreuse burlywood 4 +Manufacturer#1 almond aquamarine burnished black steel 5 +Manufacturer#1 almond aquamarine pink moccasin thistle 6 +Manufacturer#2 almond antique violet chocolate turquoise 1 +Manufacturer#2 almond antique violet turquoise frosted 2 +Manufacturer#2 almond aquamarine midnight light salmon 3 +Manufacturer#2 almond aquamarine rose maroon antique 4 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 5 +Manufacturer#3 almond antique chartreuse khaki white 1 +Manufacturer#3 almond antique forest lavender goldenrod 2 +Manufacturer#3 almond antique metallic orange dim 3 +Manufacturer#3 almond antique misty red olive 4 +Manufacturer#3 almond antique olive coral navajo 5 +Manufacturer#4 almond antique gainsboro frosted violet 1 +Manufacturer#4 almond antique violet mint lemon 2 +Manufacturer#4 almond aquamarine floral ivory bisque 3 +Manufacturer#4 almond aquamarine yellow dodger mint 4 +Manufacturer#4 almond azure aquamarine papaya violet 5 +Manufacturer#5 almond antique blue firebrick mint 1 +Manufacturer#5 almond antique medium spring khaki 2 +Manufacturer#5 almond antique sky peru orange 3 +Manufacturer#5 almond aquamarine dodger light gainsboro 4 +Manufacturer#5 almond azure blanched chiffon midnight 5 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 40. testNoBetweenForRows-0-99007f45b6406869e048b0e4eb9213f1 b/sql/hive/src/test/resources/golden/windowing.q -- 40. testNoBetweenForRows-0-99007f45b6406869e048b0e4eb9213f1 new file mode 100644 index 0000000000..1e29df6290 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 40. testNoBetweenForRows-0-99007f45b6406869e048b0e4eb9213f1 @@ -0,0 +1,26 @@ +Manufacturer#1 almond antique burnished rose metallic 2 1173.15 +Manufacturer#1 almond antique burnished rose metallic 2 2346.3 +Manufacturer#1 almond antique chartreuse lavender yellow 34 4100.06 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 5702.650000000001 +Manufacturer#1 almond aquamarine burnished black steel 28 7117.070000000001 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 8749.730000000001 +Manufacturer#2 almond antique violet chocolate turquoise 14 1690.68 +Manufacturer#2 almond antique violet turquoise frosted 40 3491.38 +Manufacturer#2 almond aquamarine midnight light salmon 2 5523.360000000001 +Manufacturer#2 almond aquamarine rose maroon antique 25 7222.02 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 8923.62 +Manufacturer#3 almond antique chartreuse khaki white 17 1671.68 +Manufacturer#3 almond antique forest lavender goldenrod 14 2861.95 +Manufacturer#3 almond antique metallic orange dim 19 4272.34 +Manufacturer#3 almond antique misty red olive 1 6195.32 +Manufacturer#3 almond antique olive coral navajo 45 7532.61 +Manufacturer#4 almond antique gainsboro frosted violet 10 1620.67 +Manufacturer#4 almond antique violet mint lemon 39 2996.09 +Manufacturer#4 almond aquamarine floral ivory bisque 27 4202.35 +Manufacturer#4 almond aquamarine yellow dodger mint 7 6047.27 +Manufacturer#4 almond azure aquamarine papaya violet 12 7337.620000000001 +Manufacturer#5 almond antique blue firebrick mint 31 1789.69 +Manufacturer#5 almond antique medium spring khaki 6 3401.3500000000004 +Manufacturer#5 almond antique sky peru orange 2 5190.08 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 6208.18 +Manufacturer#5 almond azure blanched chiffon midnight 23 7672.66 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 41. testNoBetweenForRange-0-d81a591e90950de291d2f133793e9283 b/sql/hive/src/test/resources/golden/windowing.q -- 41. testNoBetweenForRange-0-d81a591e90950de291d2f133793e9283 new file mode 100644 index 0000000000..a620479fe4 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 41. testNoBetweenForRange-0-d81a591e90950de291d2f133793e9283 @@ -0,0 +1,26 @@ +Manufacturer#1 almond antique burnished rose metallic 2 2346.3 +Manufacturer#1 almond antique burnished rose metallic 2 2346.3 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 3948.8900000000003 +Manufacturer#1 almond aquamarine burnished black steel 28 5363.31 +Manufacturer#1 almond antique chartreuse lavender yellow 34 7117.070000000001 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 8749.730000000001 +Manufacturer#2 almond aquamarine midnight light salmon 2 2031.98 +Manufacturer#2 almond antique violet chocolate turquoise 14 3722.66 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5424.26 +Manufacturer#2 almond aquamarine rose maroon antique 25 7122.92 +Manufacturer#2 almond antique violet turquoise frosted 40 8923.62 +Manufacturer#3 almond antique misty red olive 1 1922.98 +Manufacturer#3 almond antique forest lavender goldenrod 14 3113.25 +Manufacturer#3 almond antique chartreuse khaki white 17 4784.93 +Manufacturer#3 almond antique metallic orange dim 19 6195.320000000001 +Manufacturer#3 almond antique olive coral navajo 45 7532.610000000001 +Manufacturer#4 almond aquamarine yellow dodger mint 7 1844.92 +Manufacturer#4 almond antique gainsboro frosted violet 10 3465.59 +Manufacturer#4 almond azure aquamarine papaya violet 12 4755.9400000000005 +Manufacturer#4 almond aquamarine floral ivory bisque 27 5962.200000000001 +Manufacturer#4 almond antique violet mint lemon 39 7337.620000000001 +Manufacturer#5 almond antique sky peru orange 2 1788.73 +Manufacturer#5 almond antique medium spring khaki 6 3400.3900000000003 +Manufacturer#5 almond azure blanched chiffon midnight 23 4864.870000000001 +Manufacturer#5 almond antique blue firebrick mint 31 6654.560000000001 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 7672.660000000002 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 42. testUnboundedFollowingForRows-0-fb8648e82e4dd56d6bdcfd739dd1edf0 b/sql/hive/src/test/resources/golden/windowing.q -- 42. testUnboundedFollowingForRows-0-fb8648e82e4dd56d6bdcfd739dd1edf0 new file mode 100644 index 0000000000..74147d2571 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 42. testUnboundedFollowingForRows-0-fb8648e82e4dd56d6bdcfd739dd1edf0 @@ -0,0 +1,26 @@ +Manufacturer#1 almond antique burnished rose metallic 2 8749.730000000001 +Manufacturer#1 almond antique burnished rose metallic 2 7576.58 +Manufacturer#1 almond antique chartreuse lavender yellow 34 6403.43 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4649.67 +Manufacturer#1 almond aquamarine burnished black steel 28 3047.08 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 1632.66 +Manufacturer#2 almond antique violet chocolate turquoise 14 8923.62 +Manufacturer#2 almond antique violet turquoise frosted 40 7232.9400000000005 +Manufacturer#2 almond aquamarine midnight light salmon 2 5432.24 +Manufacturer#2 almond aquamarine rose maroon antique 25 3400.26 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 1701.6 +Manufacturer#3 almond antique chartreuse khaki white 17 7532.61 +Manufacturer#3 almond antique forest lavender goldenrod 14 5860.929999999999 +Manufacturer#3 almond antique metallic orange dim 19 4670.66 +Manufacturer#3 almond antique misty red olive 1 3260.27 +Manufacturer#3 almond antique olive coral navajo 45 1337.29 +Manufacturer#4 almond antique gainsboro frosted violet 10 7337.620000000001 +Manufacturer#4 almond antique violet mint lemon 39 5716.950000000001 +Manufacturer#4 almond aquamarine floral ivory bisque 27 4341.530000000001 +Manufacturer#4 almond aquamarine yellow dodger mint 7 3135.27 +Manufacturer#4 almond azure aquamarine papaya violet 12 1290.35 +Manufacturer#5 almond antique blue firebrick mint 31 7672.66 +Manufacturer#5 almond antique medium spring khaki 6 5882.970000000001 +Manufacturer#5 almond antique sky peru orange 2 4271.3099999999995 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 2482.58 +Manufacturer#5 almond azure blanched chiffon midnight 23 1464.48 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 43. testUnboundedFollowingForRange-0-3cd04e5f2398853c4850f4f86142bb39 b/sql/hive/src/test/resources/golden/windowing.q -- 43. testUnboundedFollowingForRange-0-3cd04e5f2398853c4850f4f86142bb39 new file mode 100644 index 0000000000..49d003b5de --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 43. testUnboundedFollowingForRange-0-3cd04e5f2398853c4850f4f86142bb39 @@ -0,0 +1,26 @@ +Manufacturer#1 almond antique burnished rose metallic 2 8749.730000000001 +Manufacturer#1 almond antique burnished rose metallic 2 8749.730000000001 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 6403.43 +Manufacturer#1 almond aquamarine burnished black steel 28 4800.84 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3386.42 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 1632.66 +Manufacturer#2 almond aquamarine midnight light salmon 2 8923.62 +Manufacturer#2 almond antique violet chocolate turquoise 14 6891.639999999999 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5200.96 +Manufacturer#2 almond aquamarine rose maroon antique 25 3499.36 +Manufacturer#2 almond antique violet turquoise frosted 40 1800.7 +Manufacturer#3 almond antique misty red olive 1 7532.610000000001 +Manufacturer#3 almond antique forest lavender goldenrod 14 5609.63 +Manufacturer#3 almond antique chartreuse khaki white 17 4419.360000000001 +Manufacturer#3 almond antique metallic orange dim 19 2747.6800000000003 +Manufacturer#3 almond antique olive coral navajo 45 1337.29 +Manufacturer#4 almond aquamarine yellow dodger mint 7 7337.620000000001 +Manufacturer#4 almond antique gainsboro frosted violet 10 5492.7 +Manufacturer#4 almond azure aquamarine papaya violet 12 3872.0299999999997 +Manufacturer#4 almond aquamarine floral ivory bisque 27 2581.6800000000003 +Manufacturer#4 almond antique violet mint lemon 39 1375.42 +Manufacturer#5 almond antique sky peru orange 2 7672.660000000002 +Manufacturer#5 almond antique medium spring khaki 6 5883.93 +Manufacturer#5 almond azure blanched chiffon midnight 23 4272.27 +Manufacturer#5 almond antique blue firebrick mint 31 2807.79 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 1018.1 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 44. testOverNoPartitionSingleAggregate-0-cb3d2f8c1296044dc2658876bb6103ae b/sql/hive/src/test/resources/golden/windowing.q -- 44. testOverNoPartitionSingleAggregate-0-cb3d2f8c1296044dc2658876bb6103ae new file mode 100644 index 0000000000..5982c9ee2a --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 44. testOverNoPartitionSingleAggregate-0-cb3d2f8c1296044dc2658876bb6103ae @@ -0,0 +1,26 @@ +almond antique blue firebrick mint 1789.69 1546.78 +almond antique burnished rose metallic 1173.15 1546.78 +almond antique burnished rose metallic 1173.15 1546.78 +almond antique chartreuse khaki white 1671.68 1546.78 +almond antique chartreuse lavender yellow 1753.76 1546.78 +almond antique forest lavender goldenrod 1190.27 1546.78 +almond antique gainsboro frosted violet 1620.67 1546.78 +almond antique medium spring khaki 1611.66 1546.78 +almond antique metallic orange dim 1410.39 1546.78 +almond antique misty red olive 1922.98 1546.78 +almond antique olive coral navajo 1337.29 1546.78 +almond antique salmon chartreuse burlywood 1602.59 1546.78 +almond antique sky peru orange 1788.73 1546.78 +almond antique violet chocolate turquoise 1690.68 1546.78 +almond antique violet mint lemon 1375.42 1546.78 +almond antique violet turquoise frosted 1800.7 1546.78 +almond aquamarine burnished black steel 1414.42 1546.78 +almond aquamarine dodger light gainsboro 1018.1 1546.78 +almond aquamarine floral ivory bisque 1206.26 1546.78 +almond aquamarine midnight light salmon 2031.98 1546.78 +almond aquamarine pink moccasin thistle 1632.66 1546.78 +almond aquamarine rose maroon antique 1698.66 1546.78 +almond aquamarine sandy cyan gainsboro 1701.6 1546.78 +almond aquamarine yellow dodger mint 1844.92 1546.78 +almond azure aquamarine papaya violet 1290.35 1546.78 +almond azure blanched chiffon midnight 1464.48 1546.78 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 5. testCountWithWindowingUDAF-0-3bde93728761b780a745c2ce0398aa0f b/sql/hive/src/test/resources/golden/windowing.q -- 5. testCountWithWindowingUDAF-0-3bde93728761b780a745c2ce0398aa0f new file mode 100644 index 0000000000..00d41fc0bc --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 5. testCountWithWindowingUDAF-0-3bde93728761b780a745c2ce0398aa0f @@ -0,0 +1,26 @@ +Manufacturer#1 almond antique burnished rose metallic 1 1 2 1173.15 1173.15 2 0 +Manufacturer#1 almond antique burnished rose metallic 1 1 2 1173.15 2346.3 2 0 +Manufacturer#1 almond antique chartreuse lavender yellow 3 2 3 1753.76 4100.06 34 32 +Manufacturer#1 almond antique salmon chartreuse burlywood 4 3 4 1602.59 5702.650000000001 6 -28 +Manufacturer#1 almond aquamarine burnished black steel 5 4 5 1414.42 7117.070000000001 28 22 +Manufacturer#1 almond aquamarine pink moccasin thistle 6 5 6 1632.66 8749.730000000001 42 14 +Manufacturer#2 almond antique violet chocolate turquoise 1 1 1 1690.68 1690.68 14 0 +Manufacturer#2 almond antique violet turquoise frosted 2 2 2 1800.7 3491.38 40 26 +Manufacturer#2 almond aquamarine midnight light salmon 3 3 3 2031.98 5523.360000000001 2 -38 +Manufacturer#2 almond aquamarine rose maroon antique 4 4 4 1698.66 7222.02 25 23 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 5 5 5 1701.6 8923.62 18 -7 +Manufacturer#3 almond antique chartreuse khaki white 1 1 1 1671.68 1671.68 17 0 +Manufacturer#3 almond antique forest lavender goldenrod 2 2 2 1190.27 2861.95 14 -3 +Manufacturer#3 almond antique metallic orange dim 3 3 3 1410.39 4272.34 19 5 +Manufacturer#3 almond antique misty red olive 4 4 4 1922.98 6195.32 1 -18 +Manufacturer#3 almond antique olive coral navajo 5 5 5 1337.29 7532.61 45 44 +Manufacturer#4 almond antique gainsboro frosted violet 1 1 1 1620.67 1620.67 10 0 +Manufacturer#4 almond antique violet mint lemon 2 2 2 1375.42 2996.09 39 29 +Manufacturer#4 almond aquamarine floral ivory bisque 3 3 3 1206.26 4202.35 27 -12 +Manufacturer#4 almond aquamarine yellow dodger mint 4 4 4 1844.92 6047.27 7 -20 +Manufacturer#4 almond azure aquamarine papaya violet 5 5 5 1290.35 7337.620000000001 12 5 +Manufacturer#5 almond antique blue firebrick mint 1 1 1 1789.69 1789.69 31 0 +Manufacturer#5 almond antique medium spring khaki 2 2 2 1611.66 3401.3500000000004 6 -25 +Manufacturer#5 almond antique sky peru orange 3 3 3 1788.73 5190.08 2 -4 +Manufacturer#5 almond aquamarine dodger light gainsboro 4 4 4 1018.1 6208.18 46 44 +Manufacturer#5 almond azure blanched chiffon midnight 5 5 5 1464.48 7672.66 23 -23 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 6. testCountInSubQ-0-73d5274a21d4f4fd51d2a0f1d98516ce b/sql/hive/src/test/resources/golden/windowing.q -- 6. testCountInSubQ-0-73d5274a21d4f4fd51d2a0f1d98516ce new file mode 100644 index 0000000000..98c09e4fe1 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 6. testCountInSubQ-0-73d5274a21d4f4fd51d2a0f1d98516ce @@ -0,0 +1,26 @@ +1 1 2 1173.15 0 +1 1 2 2346.3 0 +3 2 3 4100.06 32 +4 3 4 5702.650000000001 -28 +5 4 5 7117.070000000001 22 +6 5 6 8749.730000000001 14 +1 1 1 1690.68 0 +2 2 2 3491.38 26 +3 3 3 5523.360000000001 -38 +4 4 4 7222.02 23 +5 5 5 8923.62 -7 +1 1 1 1671.68 0 +2 2 2 2861.95 -3 +3 3 3 4272.34 5 +4 4 4 6195.32 -18 +5 5 5 7532.61 44 +1 1 1 1620.67 0 +2 2 2 2996.09 29 +3 3 3 4202.35 -12 +4 4 4 6047.27 -20 +5 5 5 7337.620000000001 5 +1 1 1 1789.69 0 +2 2 2 3401.3500000000004 -25 +3 3 3 5190.08 -4 +4 4 4 6208.18 44 +5 5 5 7672.66 -23 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 8. testMixedCaseAlias-0-4b1ad2515fb079012467e987f484a722 b/sql/hive/src/test/resources/golden/windowing.q -- 8. testMixedCaseAlias-0-4b1ad2515fb079012467e987f484a722 new file mode 100644 index 0000000000..e35257d983 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 8. testMixedCaseAlias-0-4b1ad2515fb079012467e987f484a722 @@ -0,0 +1,26 @@ +Manufacturer#1 almond antique burnished rose metallic 2 1 +Manufacturer#1 almond antique burnished rose metallic 2 1 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 +Manufacturer#1 almond aquamarine burnished black steel 28 5 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 +Manufacturer#2 almond antique violet turquoise frosted 40 2 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 +Manufacturer#3 almond antique chartreuse khaki white 17 1 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 +Manufacturer#3 almond antique metallic orange dim 19 3 +Manufacturer#3 almond antique misty red olive 1 4 +Manufacturer#3 almond antique olive coral navajo 45 5 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 +Manufacturer#4 almond antique violet mint lemon 39 2 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 +Manufacturer#5 almond antique blue firebrick mint 31 1 +Manufacturer#5 almond antique medium spring khaki 6 2 +Manufacturer#5 almond antique sky peru orange 2 3 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 diff --git a/sql/hive/src/test/resources/golden/windowing.q -- 9. testHavingWithWindowingNoGBY-0-70cdc0555a61ef08534a9ebebb95ebbf b/sql/hive/src/test/resources/golden/windowing.q -- 9. testHavingWithWindowingNoGBY-0-70cdc0555a61ef08534a9ebebb95ebbf new file mode 100644 index 0000000000..850c41c811 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing.q -- 9. testHavingWithWindowingNoGBY-0-70cdc0555a61ef08534a9ebebb95ebbf @@ -0,0 +1,26 @@ +Manufacturer#1 almond antique burnished rose metallic 2 1 1 1173.15 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 2346.3 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 2 4100.06 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 3 5702.650000000001 +Manufacturer#1 almond aquamarine burnished black steel 28 5 4 7117.070000000001 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 5 8749.730000000001 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 1690.68 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 3491.38 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 5523.360000000001 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 7222.02 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 8923.62 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 1671.68 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 2861.95 +Manufacturer#3 almond antique metallic orange dim 19 3 3 4272.34 +Manufacturer#3 almond antique misty red olive 1 4 4 6195.32 +Manufacturer#3 almond antique olive coral navajo 45 5 5 7532.61 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 1620.67 +Manufacturer#4 almond antique violet mint lemon 39 2 2 2996.09 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 4202.35 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 6047.27 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 7337.620000000001 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 1789.69 +Manufacturer#5 almond antique medium spring khaki 6 2 2 3401.3500000000004 +Manufacturer#5 almond antique sky peru orange 2 3 3 5190.08 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 6208.18 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 7672.66 diff --git a/sql/hive/src/test/resources/golden/windowing_adjust_rowcontainer_sz-0-d3f50875bd5dff172cf813fdb7d738eb b/sql/hive/src/test/resources/golden/windowing_adjust_rowcontainer_sz-0-d3f50875bd5dff172cf813fdb7d738eb new file mode 100644 index 0000000000..e69de29bb2 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing_adjust_rowcontainer_sz-0-d3f50875bd5dff172cf813fdb7d738eb diff --git a/sql/hive/src/test/resources/golden/windowing_adjust_rowcontainer_sz-1-dda16565b98926fc3587de937b9401c7 b/sql/hive/src/test/resources/golden/windowing_adjust_rowcontainer_sz-1-dda16565b98926fc3587de937b9401c7 new file mode 100644 index 0000000000..e69de29bb2 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing_adjust_rowcontainer_sz-1-dda16565b98926fc3587de937b9401c7 diff --git a/sql/hive/src/test/resources/golden/windowing_adjust_rowcontainer_sz-2-374e39786feb745cd70f25be58bfa24 b/sql/hive/src/test/resources/golden/windowing_adjust_rowcontainer_sz-2-374e39786feb745cd70f25be58bfa24 new file mode 100644 index 0000000000..e69de29bb2 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing_adjust_rowcontainer_sz-2-374e39786feb745cd70f25be58bfa24 diff --git a/sql/hive/src/test/resources/golden/windowing_adjust_rowcontainer_sz-3-d2b5e23edec42a62e61750b110ecbaac b/sql/hive/src/test/resources/golden/windowing_adjust_rowcontainer_sz-3-d2b5e23edec42a62e61750b110ecbaac new file mode 100644 index 0000000000..573541ac97 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing_adjust_rowcontainer_sz-3-d2b5e23edec42a62e61750b110ecbaac @@ -0,0 +1 @@ +0 diff --git a/sql/hive/src/test/resources/golden/windowing_adjust_rowcontainer_sz-4-50d0c630159068b5b8ccdeb76493f1f7 b/sql/hive/src/test/resources/golden/windowing_adjust_rowcontainer_sz-4-50d0c630159068b5b8ccdeb76493f1f7 new file mode 100644 index 0000000000..850c41c811 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing_adjust_rowcontainer_sz-4-50d0c630159068b5b8ccdeb76493f1f7 @@ -0,0 +1,26 @@ +Manufacturer#1 almond antique burnished rose metallic 2 1 1 1173.15 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 2346.3 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 2 4100.06 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 3 5702.650000000001 +Manufacturer#1 almond aquamarine burnished black steel 28 5 4 7117.070000000001 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 5 8749.730000000001 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 1690.68 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 3491.38 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 5523.360000000001 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 7222.02 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 8923.62 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 1671.68 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 2861.95 +Manufacturer#3 almond antique metallic orange dim 19 3 3 4272.34 +Manufacturer#3 almond antique misty red olive 1 4 4 6195.32 +Manufacturer#3 almond antique olive coral navajo 45 5 5 7532.61 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 1620.67 +Manufacturer#4 almond antique violet mint lemon 39 2 2 2996.09 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 4202.35 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 6047.27 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 7337.620000000001 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 1789.69 +Manufacturer#5 almond antique medium spring khaki 6 2 2 3401.3500000000004 +Manufacturer#5 almond antique sky peru orange 2 3 3 5190.08 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 6208.18 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 7672.66 diff --git a/sql/hive/src/test/resources/golden/windowing_adjust_rowcontainer_sz-5-3f95cd6f4add7a2d0101fe3dd97e5082 b/sql/hive/src/test/resources/golden/windowing_adjust_rowcontainer_sz-5-3f95cd6f4add7a2d0101fe3dd97e5082 new file mode 100644 index 0000000000..573541ac97 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing_adjust_rowcontainer_sz-5-3f95cd6f4add7a2d0101fe3dd97e5082 @@ -0,0 +1 @@ +0 diff --git a/sql/hive/src/test/resources/golden/windowing_columnPruning-0-d3f50875bd5dff172cf813fdb7d738eb b/sql/hive/src/test/resources/golden/windowing_columnPruning-0-d3f50875bd5dff172cf813fdb7d738eb new file mode 100644 index 0000000000..e69de29bb2 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing_columnPruning-0-d3f50875bd5dff172cf813fdb7d738eb diff --git a/sql/hive/src/test/resources/golden/windowing_columnPruning-1-dda16565b98926fc3587de937b9401c7 b/sql/hive/src/test/resources/golden/windowing_columnPruning-1-dda16565b98926fc3587de937b9401c7 new file mode 100644 index 0000000000..e69de29bb2 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing_columnPruning-1-dda16565b98926fc3587de937b9401c7 diff --git a/sql/hive/src/test/resources/golden/windowing_columnPruning-2-374e39786feb745cd70f25be58bfa24 b/sql/hive/src/test/resources/golden/windowing_columnPruning-2-374e39786feb745cd70f25be58bfa24 new file mode 100644 index 0000000000..e69de29bb2 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing_columnPruning-2-374e39786feb745cd70f25be58bfa24 diff --git a/sql/hive/src/test/resources/golden/windowing_columnPruning-3-9294b4a22bc396ff2accabd53c5da98b b/sql/hive/src/test/resources/golden/windowing_columnPruning-3-9294b4a22bc396ff2accabd53c5da98b new file mode 100644 index 0000000000..1b5ae55383 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing_columnPruning-3-9294b4a22bc396ff2accabd53c5da98b @@ -0,0 +1,26 @@ +2 1173.15 +2 2346.3 +34 4100.06 +6 5702.650000000001 +28 7117.070000000001 +42 8749.730000000001 +14 1690.68 +40 3491.38 +2 5523.360000000001 +25 7222.02 +18 8923.62 +17 1671.68 +14 2861.95 +19 4272.34 +1 6195.32 +45 7532.61 +10 1620.67 +39 2996.09 +27 4202.35 +7 6047.27 +12 7337.620000000001 +31 1789.69 +6 3401.3500000000004 +2 5190.08 +46 6208.18 +23 7672.66 diff --git a/sql/hive/src/test/resources/golden/windowing_columnPruning-4-445cab062581c449ceffcb368cdf133 b/sql/hive/src/test/resources/golden/windowing_columnPruning-4-445cab062581c449ceffcb368cdf133 new file mode 100644 index 0000000000..1b5ae55383 --- /dev/null +++ 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a/sql/hive/src/test/resources/golden/windowing_multipartitioning.q (deterministic) 4-0-cfad06ae8eba6b047d32a6a61dd59392 b/sql/hive/src/test/resources/golden/windowing_multipartitioning.q (deterministic) 4-0-cfad06ae8eba6b047d32a6a61dd59392 new file mode 100644 index 0000000000..f41eaa259c --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing_multipartitioning.q (deterministic) 4-0-cfad06ae8eba6b047d32a6a61dd59392 @@ -0,0 +1 @@ +bob steinbeck 1 1 diff --git a/sql/hive/src/test/resources/golden/windowing_multipartitioning.q (deterministic) 5-0-d7ca7a61377cef3a9f721a28afdae012 b/sql/hive/src/test/resources/golden/windowing_multipartitioning.q (deterministic) 5-0-d7ca7a61377cef3a9f721a28afdae012 new file mode 100644 index 0000000000..5308b2eb45 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing_multipartitioning.q (deterministic) 5-0-d7ca7a61377cef3a9f721a28afdae012 @@ -0,0 +1 @@ +bob steinbeck 9.699999809265137 1 diff --git a/sql/hive/src/test/resources/golden/windowing_multipartitioning.q (deterministic) 6-0-287bcc7679822bc7b684532b267bf11f b/sql/hive/src/test/resources/golden/windowing_multipartitioning.q (deterministic) 6-0-287bcc7679822bc7b684532b267bf11f new file mode 100644 index 0000000000..f41eaa259c --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing_multipartitioning.q (deterministic) 6-0-287bcc7679822bc7b684532b267bf11f @@ -0,0 +1 @@ +bob steinbeck 1 1 diff --git a/sql/hive/src/test/resources/golden/windowing_navfn.q (deterministic)-0-36217f6074daaacddb9fcb50a3f4fb5b b/sql/hive/src/test/resources/golden/windowing_navfn.q (deterministic)-0-36217f6074daaacddb9fcb50a3f4fb5b new file mode 100644 index 0000000000..8150409e62 --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing_navfn.q (deterministic)-0-36217f6074daaacddb9fcb50a3f4fb5b @@ -0,0 +1,1049 @@ + 1 + 1 + 1 +alice allen 2 +alice allen 1 +alice allen 1 +alice brown 1 +alice carson 1 +alice davidson 1 +alice falkner 1 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garcia +65790 fred nixon +65790 victor polk +65790 yuri ellison +65789 NULL +65789 alice laertes +65789 gabriella king +65789 katie zipper +65789 oscar zipper +65789 quinn davidson +65789 wendy brown +65788 irene brown +65788 oscar zipper +65788 rachel king +65788 xavier thompson +65787 alice laertes +65787 david laertes +65787 katie ichabod +65787 ulysses king +65786 bob carson +65786 quinn king +65786 victor xylophone +65786 xavier allen +65786 xavier davidson +65785 sarah carson +65785 sarah johnson +65784 holly young +65784 jessica ellison +65784 jessica ovid +65784 jessica zipper +65784 quinn van buren +65783 david allen +65783 fred ellison +65783 irene nixon +65783 mike ichabod +65783 wendy miller +65783 zach garcia +65782 tom miller +65782 ulysses underhill +65782 victor nixon +65782 yuri white +65782 zach ovid +65781 ethan carson +65781 luke laertes +65781 quinn brown +65780 holly hernandez +65780 holly zipper +65780 wendy falkner +65779 gabriella ichabod +65779 irene brown +65779 irene underhill +65779 ulysses xylophone +65779 wendy hernandez +65779 yuri nixon +65779 zach ellison +65778 jessica davidson +65778 katie allen +65778 oscar van buren +65778 oscar white +65778 rachel johnson +65778 victor quirinius +65778 yuri polk +65778 yuri quirinius +65777 ethan garcia +65777 irene garcia +65777 katie polk +65777 rachel thompson +65776 NULL +65776 luke garcia +65776 luke quirinius +65776 priscilla ovid +65776 sarah king +65775 bob ellison +65775 calvin steinbeck +65775 ethan laertes +65775 luke robinson +65775 oscar polk +65774 calvin young +65774 irene quirinius +65774 katie brown +65774 oscar hernandez +65774 sarah ichabod +65774 zach king +65773 NULL +65773 calvin garcia +65773 irene polk +65773 jessica davidson +65773 nick ichabod +65773 nick zipper +65773 quinn ovid +65773 zach falkner +65772 oscar garcia +65771 ethan underhill +65771 yuri hernandez +65771 zach brown +65770 alice nixon +65770 gabriella ellison +65769 mike king +65769 nick steinbeck 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xavier carson +65757 zach brown +65756 gabriella falkner +65756 mike polk +65756 nick allen +65756 yuri xylophone +65755 alice johnson +65755 david ellison +65755 fred polk +65755 gabriella hernandez +65755 irene van buren +65755 jessica nixon +65755 mike ellison +65755 nick van buren +65755 zach miller +65754 luke johnson +65754 xavier quirinius +65753 rachel robinson +65753 yuri garcia +65752 bob miller +65752 oscar zipper +65751 calvin quirinius +65751 katie king +65751 mike allen +65751 mike quirinius +65751 mike white +65751 zach zipper +65750 mike white +65750 nick thompson +65750 oscar quirinius +65750 priscilla polk +65750 rachel brown +65749 david allen +65749 gabriella polk +65749 mike ellison +65749 sarah carson +65749 wendy thompson +65748 david davidson +65748 oscar laertes +65747 calvin falkner +65747 fred steinbeck +65747 priscilla zipper +65747 quinn underhill +65747 rachel falkner +65747 wendy falkner +65747 yuri falkner +65746 +65746 katie robinson +65746 luke garcia +65746 tom brown +65746 zach steinbeck +65745 oscar steinbeck +65745 oscar xylophone +65745 priscilla nixon +65745 victor laertes +65744 alice allen +65744 priscilla ichabod +65743 jessica carson +65743 oscar ichabod +65743 sarah falkner +65743 tom brown +65742 jessica brown +65742 jessica ellison +65742 wendy polk +65741 calvin thompson +65740 irene van buren +65740 mike zipper +65740 rachel quirinius +65739 gabriella van buren +65739 victor robinson +65739 wendy nixon +65738 sarah ichabod +65738 wendy robinson +65738 wendy young +65738 xavier king +65737 holly brown +65737 irene falkner +65737 jessica white +65737 quinn garcia +65737 wendy laertes +65736 fred young +65736 quinn laertes +65736 rachel allen +65736 victor ellison +65735 oscar laertes +65735 tom falkner +65735 ulysses thompson +65734 calvin falkner +65734 mike garcia +65733 gabriella van buren +65733 holly nixon +65733 luke underhill +65733 oscar allen +65733 xavier polk +65733 yuri ellison +65732 mike steinbeck +65732 tom carson +65732 tom ellison +65731 alice robinson +65731 priscilla carson +65731 tom johnson +65731 ulysses ovid +65730 bob king +65730 calvin polk +65730 gabriella ichabod +65730 rachel brown +65729 fred quirinius +65728 priscilla king +65728 victor brown +65727 ethan brown +65727 fred polk +65727 jessica white +65727 priscilla underhill +65727 sarah white +65726 mike garcia +65726 ulysses hernandez +65726 wendy quirinius +65725 zach thompson +65724 NULL +65724 alice king +65724 alice steinbeck +65724 mike ellison +65724 nick ovid +65724 priscilla zipper +65723 nick allen +65723 rachel white +65722 fred falkner +65722 jessica underhill +65722 luke ichabod +65721 ethan falkner +65721 jessica zipper +65721 luke laertes +65721 luke underhill +65721 mike carson +65721 oscar laertes +65721 ulysses ichabod +65720 calvin nixon +65720 calvin thompson +65720 gabriella young +65720 holly polk +65720 mike king +65719 bob brown +65719 holly ichabod +65719 ulysses ellison +65719 ulysses young +65718 jessica ichabod +65718 oscar johnson +65718 victor hernandez +65718 zach ovid +65717 holly hernandez +65717 mike nixon +65717 quinn garcia +65717 ulysses davidson +65717 ulysses polk +65716 ethan zipper +65716 holly xylophone +65716 jessica garcia +65716 nick falkner +65716 sarah king +65716 victor xylophone +65715 alice hernandez +65715 david young +65715 ethan polk +65715 oscar falkner +65715 priscilla brown +65714 NULL +65714 ethan laertes +65714 luke allen +65713 bob ellison +65713 nick nixon +65713 ulysses carson +65713 ulysses ichabod +65713 zach garcia +65712 NULL +65712 katie king +65712 luke davidson +65712 quinn garcia +65712 zach carson +65711 bob zipper +65711 fred miller +65711 holly nixon +65711 katie ellison +65711 wendy ovid +65711 zach zipper +65710 luke polk +65710 mike young +65709 bob laertes +65709 calvin laertes +65709 oscar laertes +65708 gabriella laertes +65708 priscilla van buren +65707 bob garcia +65707 mike steinbeck +65706 bob ellison +65706 bob xylophone +65706 luke allen +65706 ulysses xylophone +65706 wendy ichabod +65705 david ellison +65705 mike white +65705 priscilla johnson +65705 tom ellison +65704 ethan brown +65704 holly king +65704 jessica young +65704 tom steinbeck +65704 victor steinbeck +65704 zach falkner +65703 holly underhill +65703 mike ellison +65703 victor davidson +65703 xavier underhill +65702 NULL +65702 bob brown +65702 bob zipper +65702 ulysses quirinius +65701 alice allen +65701 mike steinbeck +65701 oscar thompson +65700 luke allen +65700 quinn laertes +65700 tom quirinius +65699 ethan brown +65699 ethan van buren +65699 irene laertes +65699 mike young +65699 nick garcia +65699 sarah white +65698 gabriella thompson +65698 nick polk +65697 NULL +65697 NULL +65697 holly miller +65697 oscar quirinius +65697 oscar thompson +65697 xavier davidson +65696 alice xylophone +65696 jessica davidson +65696 luke allen +65696 oscar xylophone +65695 oscar king +65695 rachel young +65695 wendy ellison +65695 yuri quirinius +65694 david brown +65694 holly underhill +65694 victor quirinius +65694 zach brown +65693 bob hernandez +65693 bob young +65693 david brown +65693 holly hernandez +65693 tom polk +65693 ulysses polk +65693 victor brown +65692 holly johnson +65692 tom robinson +65691 calvin ovid +65691 ethan nixon +65691 ethan robinson +65691 fred underhill +65691 holly white +65691 irene polk +65691 oscar white +65691 rachel brown +65690 fred van buren +65690 jessica quirinius +65689 oscar ovid +65689 wendy thompson +65688 bob steinbeck +65688 victor steinbeck +65687 gabriella ichabod +65687 jessica underhill +65687 mike zipper +65687 quinn thompson +65686 bob king +65686 bob zipper +65686 david quirinius +65686 luke ichabod +65685 ethan robinson +65685 gabriella hernandez +65685 katie garcia +65685 sarah ellison +65685 victor hernandez +65685 victor nixon +65684 priscilla brown +65684 victor laertes +65684 wendy van buren +65683 NULL +65683 mike king +65683 tom laertes +65682 calvin quirinius +65682 ethan brown +65682 katie ellison +65681 gabriella allen +65681 luke laertes +65681 oscar quirinius +65681 ulysses laertes +65681 wendy ellison +65681 xavier polk +65680 NULL +65680 alice nixon +65680 gabriella ovid +65680 jessica carson +65680 ulysses nixon +65680 zach zipper +65679 bob garcia +65679 wendy underhill +65678 bob falkner +65678 victor xylophone +65678 wendy king +65677 alice allen +65677 fred van buren +65677 mike brown +65677 nick xylophone +65677 ulysses underhill +65677 zach robinson +65676 bob davidson +65676 bob laertes +65676 tom ovid +65676 xavier johnson +65675 david hernandez +65675 david nixon +65675 holly falkner +65675 quinn steinbeck +65675 rachel robinson +65675 sarah zipper +65675 tom polk +65675 victor allen +65674 gabriella falkner +65673 nick johnson +65673 quinn brown +65673 quinn underhill +65673 rachel ovid +65673 wendy brown +65672 nick laertes +65672 nick underhill +65672 rachel zipper +65672 tom white +65672 victor king +65671 fred ellison +65671 fred falkner +65671 zach white +65670 david robinson +65670 jessica zipper +65670 luke van buren +65670 oscar ovid +65670 quinn steinbeck +65669 NULL +65669 alice king +65669 calvin hernandez +65669 katie polk +65669 nick miller +65669 oscar van buren +65668 luke ellison +65667 bob brown +65667 irene nixon +65667 oscar brown +65667 tom falkner +65666 +65666 david underhill +65666 fred van buren +65665 rachel brown +65664 NULL +65664 bob davidson +65664 david ichabod +65664 ethan laertes +65664 irene robinson +65664 mike carson +65664 priscilla young +65664 victor king +65663 calvin underhill +65663 jessica johnson +65663 priscilla carson +65663 zach ichabod +65662 ethan allen +65662 katie ovid +65662 oscar johnson +65662 ulysses carson +65662 ulysses polk +65662 victor ovid +65661 david van buren +65661 luke xylophone +65661 mike falkner +65661 priscilla van buren +65661 victor johnson +65660 holly ichabod +65660 priscilla johnson +65660 victor thompson +65659 david robinson +65659 gabriella king +65659 luke davidson +65659 mike king +65659 mike zipper +65659 nick brown +65659 nick zipper +65659 yuri underhill +65658 NULL +65658 alice zipper +65658 calvin allen +65658 calvin johnson +65658 jessica garcia +65658 quinn davidson +65658 sarah ovid +65658 ulysses brown +65658 ulysses miller +65658 yuri king +65657 ethan falkner +65657 holly zipper +65657 irene ovid +65657 luke ovid +65657 priscilla white +65656 david davidson +65656 irene ovid +65656 jessica xylophone +65656 luke laertes +65656 oscar ichabod +65656 xavier ellison +65655 calvin falkner +65655 yuri laertes +65654 alice carson +65654 alice quirinius +65654 gabriella falkner +65654 nick young +65654 oscar robinson +65654 quinn robinson +65654 rachel falkner +65654 tom laertes +65654 yuri johnson +65653 calvin ellison +65653 holly underhill +65653 ulysses polk +65653 wendy xylophone +65652 NULL +65652 tom ellison +65652 victor johnson +65651 NULL +65651 ethan laertes +65651 ethan laertes +65651 irene garcia +65651 mike young +65650 irene ellison +65650 oscar white +65650 sarah steinbeck +65650 ulysses underhill +65650 ulysses xylophone +65650 victor xylophone +65649 irene underhill +65649 priscilla quirinius +65649 quinn ellison +65649 tom quirinius +65648 alice nixon +65648 calvin brown +65648 sarah carson +65648 xavier ellison +65647 irene allen +65647 mike ellison +65646 bob ovid +65646 xavier brown +65646 xavier ovid +65645 jessica quirinius +65645 katie miller +65645 ulysses hernandez +65644 alice king +65644 calvin ovid +65644 jessica white +65644 katie van buren +65644 sarah young +65644 ulysses hernandez +65644 yuri carson +65643 david davidson +65643 ethan polk +65643 ethan zipper +65643 gabriella ichabod +65643 mike davidson +65643 mike hernandez +65643 oscar robinson +65643 priscilla underhill +65643 zach king +65642 gabriella thompson +65641 fred laertes +65641 sarah garcia +65641 tom miller +65641 xavier hernandez +65640 david underhill +65639 wendy garcia +65638 fred nixon +65638 luke polk +65638 rachel carson +65637 alice underhill +65637 david davidson +65637 fred davidson +65637 gabriella davidson +65637 oscar carson +65637 rachel laertes +65637 sarah garcia +65637 wendy garcia +65636 +65636 irene polk +65636 wendy allen +65635 alice steinbeck +65635 alice zipper +65635 ulysses white +65634 NULL +65634 calvin white +65634 holly underhill +65634 sarah falkner +65633 NULL +65633 holly polk +65633 jessica nixon +65633 oscar quirinius +65632 alice falkner +65632 zach quirinius +65631 fred ellison +65630 rachel brown +65630 xavier hernandez +65629 jessica quirinius +65629 priscilla carson +65629 victor young +65629 xavier carson +65628 bob ovid +65628 ethan ovid +65628 irene ichabod +65628 oscar hernandez +65628 oscar robinson +65628 xavier quirinius +65627 alice miller +65627 holly johnson +65627 luke falkner +65627 yuri polk +65626 ethan polk +65626 holly robinson +65626 tom young +65626 yuri johnson +65625 david xylophone +65625 fred ichabod +65625 katie white +65625 ulysses garcia +65624 calvin steinbeck +65624 calvin xylophone +65624 rachel carson +65624 tom van buren +65624 yuri brown +65623 alice quirinius +65623 jessica miller +65623 oscar ichabod +65623 quinn zipper +65623 tom van buren +65623 victor brown +65623 wendy young +65622 nick davidson +65622 rachel king +65622 wendy robinson +65622 xavier ichabod +65622 zach xylophone +65622 zach young +65621 quinn underhill +65621 ulysses young +65620 nick garcia +65620 oscar thompson +65620 quinn quirinius +65620 victor white +65620 victor xylophone +65620 wendy quirinius +65619 calvin brown +65619 gabriella polk +65619 oscar king +65619 ulysses miller +65619 ulysses robinson +65619 ulysses steinbeck +65618 gabriella ovid +65618 irene laertes +65618 katie king +65618 oscar ovid +65618 quinn thompson +65617 fred van buren +65617 gabriella carson +65617 sarah johnson +65617 ulysses underhill +65616 calvin steinbeck +65616 xavier ichabod +65615 alice ovid +65615 david quirinius +65615 irene quirinius +65615 katie nixon +65614 wendy king +65614 xavier quirinius +65614 xavier white +65613 xavier zipper +65612 irene miller +65612 victor hernandez +65612 wendy white +65612 yuri polk +65611 ethan johnson +65611 fred zipper +65611 irene carson +65611 nick quirinius +65610 tom king +65610 victor steinbeck +65610 wendy garcia +65610 yuri carson +65610 zach ovid +65609 sarah robinson +65608 katie van buren +65608 mike van buren +65608 quinn ichabod +65608 zach underhill +65607 katie miller +65607 luke falkner +65607 mike polk +65607 priscilla xylophone +65607 yuri allen +65607 yuri allen +65606 bob white +65606 gabriella white +65606 oscar carson +65606 victor white +65606 xavier allen +65606 zach allen +65605 holly king +65604 katie zipper +65604 oscar davidson +65604 wendy laertes +65604 zach brown +65603 alice davidson +65603 ethan miller +65603 katie davidson +65603 katie young +65603 mike garcia +65602 NULL +65602 calvin laertes +65602 ethan laertes +65602 fred steinbeck +65602 jessica young +65602 xavier brown +65601 priscilla ovid +65601 sarah xylophone +65601 tom robinson +65600 gabriella thompson +65600 jessica polk +65600 nick robinson +65600 rachel allen +65599 fred quirinius +65599 luke johnson +65599 nick garcia +65599 oscar xylophone +65599 ulysses underhill +65598 ulysses van buren +65598 victor zipper +65597 ethan ellison +65597 nick ellison +65597 quinn davidson +65596 NULL +65596 calvin zipper +65596 david ellison +65596 irene ichabod +65596 wendy laertes +65595 bob white +65595 holly hernandez +65595 luke brown +65595 oscar ellison +65595 oscar ichabod +65595 quinn ellison +65594 gabriella ellison +65594 oscar robinson +65594 ulysses underhill +65594 victor robinson +65593 oscar white +65593 zach xylophone +65592 calvin xylophone +65591 alice zipper +65591 nick ichabod +65591 priscilla ichabod +65591 rachel underhill +65590 NULL +65590 katie falkner +65590 oscar van buren +65590 xavier garcia +65590 yuri underhill +65589 ethan white +65589 gabriella zipper +65589 irene ovid +65589 oscar king +65589 wendy xylophone +65588 bob van buren +65588 david ichabod +65588 mike miller +65588 tom hernandez +65588 victor van buren +65587 bob garcia +65587 luke johnson +65587 mike king +65587 victor allen +65587 xavier white +65586 david young +65586 irene brown +65586 priscilla brown +65586 wendy allen +65586 xavier laertes +65585 alice garcia +65585 bob garcia +65585 ethan ellison +65585 nick ellison +65585 priscilla thompson +65584 jessica carson +65584 jessica van buren +65584 jessica white +65583 bob xylophone +65583 nick ichabod +65583 yuri brown +65583 yuri steinbeck +65582 holly johnson +65582 mike carson +65582 victor van buren +65582 zach miller +65581 gabriella steinbeck +65581 irene quirinius +65581 luke allen +65581 nick robinson +65581 nick young +65581 wendy robinson +65580 alice steinbeck +65580 alice xylophone +65580 irene xylophone +65579 irene polk +65579 luke ovid +65579 quinn nixon +65579 sarah garcia +65579 wendy ovid +65578 calvin robinson +65578 fred king +65578 holly thompson +65578 katie ichabod +65578 quinn king +65578 rachel davidson +65578 victor hernandez +65577 holly white +65576 calvin falkner +65576 calvin ovid +65576 fred polk +65576 luke robinson +65575 calvin falkner +65575 irene steinbeck +65575 luke zipper +65575 zach king +65574 gabriella steinbeck +65574 priscilla nixon +65574 rachel thompson +65573 victor ellison +65573 victor hernandez +65573 yuri nixon +65572 calvin davidson +65572 calvin young +65572 katie young +65572 oscar ellison +65572 quinn garcia +65571 bob king +65571 irene polk +65571 katie ichabod +65571 mike steinbeck +65570 NULL +65570 bob ovid +65570 fred polk +65570 luke ellison +65570 mike hernandez +65570 yuri quirinius +65569 nick falkner +65568 bob ichabod +65568 holly thompson +65568 jessica thompson +65567 katie xylophone +65566 gabriella garcia +65566 rachel white +65565 katie young +65565 quinn young +65564 alice polk +65564 calvin carson +65564 calvin white +65564 ethan hernandez +65564 ethan quirinius +65564 jessica thompson +65564 katie hernandez +65563 calvin zipper +65563 priscilla young +65563 xavier davidson +65563 yuri steinbeck +65562 calvin falkner +65562 ethan xylophone +65562 luke white +65562 quinn allen +65562 rachel polk +65562 wendy polk +65561 bob davidson +65561 ethan polk +65561 jessica robinson +65560 fred white +65560 jessica johnson +65560 oscar thompson +65560 ulysses steinbeck +65560 zach brown +65559 NULL +65559 ethan laertes +65559 gabriella ichabod +65559 gabriella zipper +65559 irene garcia +65558 fred robinson +65557 fred hernandez +65557 nick johnson +65556 oscar underhill +65556 xavier hernandez +65556 yuri falkner +65556 zach garcia +65556 zach steinbeck +65555 fred nixon +65554 gabriella miller +65554 rachel falkner +65553 calvin van buren +65553 david van buren +65553 irene nixon +65553 luke laertes +65553 oscar carson +65552 NULL +65552 irene ellison +65552 oscar polk +65552 wendy falkner +65552 zach miller +65551 fred young +65551 ulysses underhill +65551 wendy underhill +65550 ethan quirinius +65550 fred davidson +65550 holly young +65550 jessica ovid +65550 quinn brown +65550 quinn laertes +65550 tom johnson +65549 bob garcia +65549 bob ovid +65549 fred ichabod +65549 fred king +65549 jessica white +65549 ulysses laertes +65549 victor davidson +65549 victor miller +65548 calvin ovid +65548 gabriella allen +65548 holly ichabod +65548 priscilla johnson +65548 quinn zipper +65548 tom hernandez +65548 wendy king +65547 bob ellison +65547 jessica quirinius +65547 mike davidson +65547 xavier allen +65546 katie white +65545 mike king +65545 tom carson +65545 victor brown +65544 calvin davidson +65544 calvin nixon +65544 david ovid +65544 irene thompson +65544 ulysses young +65544 xavier polk +65544 xavier xylophone +65544 zach ovid +65543 fred johnson +65543 sarah johnson +65542 fred falkner +65542 holly thompson +65542 luke miller +65542 mike white +65542 tom davidson +65541 calvin brown +65541 ethan brown +65541 holly brown +65541 jessica falkner +65541 rachel thompson +65541 tom zipper +65541 wendy underhill +65541 xavier polk +65541 yuri johnson +65540 rachel falkner +65539 gabriella young +65539 holly laertes +65539 oscar carson +65538 irene laertes +65538 mike polk +65538 tom robinson +65537 NULL +65537 david quirinius +65537 rachel ovid +65537 ulysses laertes +65537 zach garcia +65536 calvin xylophone +65536 david thompson +65536 irene falkner +65536 ulysses johnson +65536 victor johnson +65536 wendy miller +65536 yuri thompson diff --git a/sql/hive/src/test/resources/golden/windowing_navfn.q (deterministic)-2-1e88e0ba414a00195f7ebf6b8600ac04 b/sql/hive/src/test/resources/golden/windowing_navfn.q (deterministic)-2-1e88e0ba414a00195f7ebf6b8600ac04 new file mode 100644 index 0000000000..62d71abc6f --- /dev/null +++ b/sql/hive/src/test/resources/golden/windowing_navfn.q 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a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveComparisonTest.scala +++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveComparisonTest.scala @@ -300,7 +300,7 @@ abstract class HiveComparisonTest val hiveQueries = queryList.map(new TestHive.HiveQLQueryExecution(_)) // Make sure we can at least parse everything before attempting hive execution. - hiveQueries.foreach(_.analyzed) + hiveQueries.foreach(_.logical) val computedResults = (queryList.zipWithIndex, hiveQueries, hiveCacheFiles).zipped.map { case ((queryString, i), hiveQuery, cachedAnswerFile)=> try { diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveWindowFunctionQuerySuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveWindowFunctionQuerySuite.scala new file mode 100644 index 0000000000..934452fe57 --- /dev/null +++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveWindowFunctionQuerySuite.scala @@ -0,0 +1,845 @@ +/* + * 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.hive.execution + +import java.io.File +import java.util.{Locale, TimeZone} + +import org.scalatest.BeforeAndAfter + +import org.apache.spark.sql.hive.test.TestHive +import org.apache.spark.sql.hive.test.TestHive._ +import org.apache.spark.util.Utils + +/** + * The test suite for window functions. To actually compare results with Hive, + * every test should be created by `createQueryTest`. Because we are reusing tables + * for different tests and there are a few properties needed to let Hive generate golden + * files, every `createQueryTest` calls should explicitly set `reset` to `false`. + */ +abstract class HiveWindowFunctionQueryBaseSuite extends HiveComparisonTest with BeforeAndAfter { + private val originalTimeZone = TimeZone.getDefault + private val originalLocale = Locale.getDefault + private val testTempDir = Utils.createTempDir() + + override def beforeAll() { + TestHive.cacheTables = true + // Timezone is fixed to America/Los_Angeles for those timezone sensitive tests (timestamp_*) + TimeZone.setDefault(TimeZone.getTimeZone("America/Los_Angeles")) + // Add Locale setting + Locale.setDefault(Locale.US) + + // Create the table used in windowing.q + sql("DROP TABLE IF EXISTS part") + sql( + """ + |CREATE TABLE part( + | p_partkey INT, + | p_name STRING, + | p_mfgr STRING, + | p_brand STRING, + | p_type STRING, + | p_size INT, + | p_container STRING, + | p_retailprice DOUBLE, + | p_comment STRING) + """.stripMargin) + val testData1 = TestHive.getHiveFile("data/files/part_tiny.txt").getCanonicalPath + sql( + s""" + |LOAD DATA LOCAL INPATH '$testData1' overwrite into table part + """.stripMargin) + + sql("DROP TABLE IF EXISTS over1k") + sql( + """ + |create table over1k( + | t tinyint, + | si smallint, + | i int, + | b bigint, + | f float, + | d double, + | bo boolean, + | s string, + | ts timestamp, + | dec decimal(4,2), + | bin binary) + |row format delimited + |fields terminated by '|' + """.stripMargin) + val testData2 = TestHive.getHiveFile("data/files/over1k").getCanonicalPath + sql( + s""" + |LOAD DATA LOCAL INPATH '$testData2' overwrite into table over1k + """.stripMargin) + + // The following settings are used for generating golden files with Hive. + // We have to use kryo to correctly let Hive serialize plans with window functions. + // This is used to generate golden files. + sql("set hive.plan.serialization.format=kryo") + // Explicitly set fs to local fs. + sql(s"set fs.default.name=file://$testTempDir/") + // Ask Hive to run jobs in-process as a single map and reduce task. + sql("set mapred.job.tracker=local") + } + + override def afterAll() { + TestHive.cacheTables = false + TimeZone.setDefault(originalTimeZone) + Locale.setDefault(originalLocale) + TestHive.reset() + } + + ///////////////////////////////////////////////////////////////////////////// + // Tests based on windowing_multipartitioning.q + // Results of the original query file are not deterministic. + ///////////////////////////////////////////////////////////////////////////// + createQueryTest("windowing_multipartitioning.q (deterministic) 1", + s""" + |select s, + |rank() over (partition by s order by si) r, + |sum(b) over (partition by s order by si) sum + |from over1k + |order by s, r, sum; + """.stripMargin, reset = false) + + /* timestamp comparison issue with Hive? + createQueryTest("windowing_multipartitioning.q (deterministic) 2", + s""" + |select s, + |rank() over (partition by s order by dec desc) r, + |sum(b) over (partition by s order by ts desc) as sum + |from over1k + |where s = 'tom allen' or s = 'bob steinbeck' + |order by s, r, sum; + """.stripMargin, reset = false) + */ + + createQueryTest("windowing_multipartitioning.q (deterministic) 3", + s""" + |select s, sum(i) over (partition by s), sum(f) over (partition by si) + |from over1k where s = 'tom allen' or s = 'bob steinbeck'; + """.stripMargin, reset = false) + + createQueryTest("windowing_multipartitioning.q (deterministic) 4", + s""" + |select s, rank() over (partition by s order by bo), + |rank() over (partition by si order by bin desc) from over1k + |where s = 'tom allen' or s = 'bob steinbeck'; + """.stripMargin, reset = false) + + createQueryTest("windowing_multipartitioning.q (deterministic) 5", + s""" + |select s, sum(f) over (partition by i), row_number() over (order by f) + |from over1k where s = 'tom allen' or s = 'bob steinbeck'; + """.stripMargin, reset = false) + + createQueryTest("windowing_multipartitioning.q (deterministic) 6", + s""" + |select s, rank() over w1, + |rank() over w2 + |from over1k + |where s = 'tom allen' or s = 'bob steinbeck' + |window + |w1 as (partition by s order by dec), + |w2 as (partition by si order by f) ; + """.stripMargin, reset = false) + + ///////////////////////////////////////////////////////////////////////////// + // Tests based on windowing_navfn.q + // Results of the original query file are not deterministic. + // Also, the original query of + // select i, lead(s) over (partition by bin order by d,i desc) from over1k ; + ///////////////////////////////////////////////////////////////////////////// + createQueryTest("windowing_navfn.q (deterministic)", + s""" + |select s, row_number() over (partition by d order by dec) rn from over1k + |order by s, rn desc; + |select i, lead(s) over (partition by cast(bin as string) order by d,i desc) as l + |from over1k + |order by i desc, l; + |select i, lag(dec) over (partition by i order by s,i,dec) l from over1k + |order by i, l; + |select s, last_value(t) over (partition by d order by f) l from over1k + |order by s, l; + |select s, first_value(s) over (partition by bo order by s) f from over1k + |order by s, f; + |select t, s, i, last_value(i) over (partition by t order by s) + |from over1k where (s = 'oscar allen' or s = 'oscar carson') and t = 10; + """.stripMargin, reset = false) + + ///////////////////////////////////////////////////////////////////////////// + // Tests based on windowing_ntile.q + // Results of the original query file are not deterministic. + ///////////////////////////////////////////////////////////////////////////// + createQueryTest("windowing_ntile.q (deterministic)", + s""" + |select i, ntile(10) over (partition by s order by i) n from over1k + |order by i, n; + |select s, ntile(100) over (partition by i order by s) n from over1k + |order by s, n; + |select f, ntile(4) over (partition by d order by f) n from over1k + |order by f, n; + |select d, ntile(1000) over (partition by dec order by d) n from over1k + |order by d, n; + """.stripMargin, reset = false) + + ///////////////////////////////////////////////////////////////////////////// + // Tests based on windowing_udaf.q + // Results of the original query file are not deterministic. + ///////////////////////////////////////////////////////////////////////////// + createQueryTest("windowing_udaf.q (deterministic)", + s""" + |select s, min(i) over (partition by s) m from over1k + |order by s, m; + |select s, avg(f) over (partition by si order by s) a from over1k + |order by s, a; + |select s, avg(i) over (partition by t, b order by s) a from over1k + |order by s, a; + |select max(i) over w m from over1k + |order by m window w as (partition by f) ; + |select s, avg(d) over (partition by t order by f) a from over1k + |order by s, a; + """.stripMargin, reset = false) + + ///////////////////////////////////////////////////////////////////////////// + // Tests based on windowing_windowspec.q + // Results of the original query file are not deterministic. + ///////////////////////////////////////////////////////////////////////////// + createQueryTest("windowing_windowspec.q (deterministic)", + s""" + |select s, sum(b) over (partition by i order by s,b rows unbounded preceding) as sum + |from over1k order by s, sum; + |select s, sum(f) over (partition by d order by s,f rows unbounded preceding) as sum + |from over1k order by s, sum; + |select s, sum(f) over + |(partition by ts order by f range between current row and unbounded following) as sum + |from over1k order by s, sum; + |select s, avg(f) + |over (partition by ts order by s,f rows between current row and 5 following) avg + |from over1k order by s, avg; + |select s, avg(d) over + |(partition by t order by s,d desc rows between 5 preceding and 5 following) avg + |from over1k order by s, avg; + |select s, sum(i) over(partition by ts order by s) sum from over1k + |order by s, sum; + |select f, sum(f) over + |(partition by ts order by f range between unbounded preceding and current row) sum + |from over1k order by f, sum; + |select s, i, round(avg(d) over (partition by s order by i) / 10.0 , 2) avg + |from over1k order by s, i, avg; + |select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),2) avg + |from over1k + |order by s, i, avg window w1 as (partition by s order by i); + """.stripMargin, reset = false) + + ///////////////////////////////////////////////////////////////////////////// + // Tests based on windowing_rank.q + // Results of the original query file are not deterministic. + ///////////////////////////////////////////////////////////////////////////// + createQueryTest("windowing_rank.q (deterministic) 1", + s""" + |select s, rank() over (partition by f order by t) r from over1k order by s, r; + |select s, dense_rank() over (partition by ts order by i,s desc) as r from over1k + |order by s desc, r desc; + |select s, cume_dist() over (partition by bo order by b,s) cd from over1k + |order by s, cd; + |select s, percent_rank() over (partition by dec order by f) r from over1k + |order by s desc, r desc; + """.stripMargin, reset = false) + + createQueryTest("windowing_rank.q (deterministic) 2", + s""" + |select ts, dec, rnk + |from + | (select ts, dec, + | rank() over (partition by ts order by dec) as rnk + | from + | (select other.ts, other.dec + | from over1k other + | join over1k on (other.b = over1k.b) + | ) joined + | ) ranked + |where rnk = 1 + |order by ts, dec, rnk; + """.stripMargin, reset = false) + + createQueryTest("windowing_rank.q (deterministic) 3", + s""" + |select ts, dec, rnk + |from + | (select ts, dec, + | rank() over (partition by ts order by dec) as rnk + | from + | (select other.ts, other.dec + | from over1k other + | join over1k on (other.b = over1k.b) + | ) joined + | ) ranked + |where dec = 89.5 + |order by ts, dec, rnk; + """.stripMargin, reset = false) + + createQueryTest("windowing_rank.q (deterministic) 4", + s""" + |select ts, dec, rnk + |from + | (select ts, dec, + | rank() over (partition by ts order by dec) as rnk + | from + | (select other.ts, other.dec + | from over1k other + | join over1k on (other.b = over1k.b) + | where other.t < 10 + | ) joined + | ) ranked + |where rnk = 1 + |order by ts, dec, rnk; + """.stripMargin, reset = false) + + ///////////////////////////////////////////////////////////////////////////// + // Tests from windowing.q + // We port tests in windowing.q to here because this query file contains too + // many tests and the syntax of test "-- 7. testJoinWithWindowingAndPTF" + // is not supported right now. + ///////////////////////////////////////////////////////////////////////////// + createQueryTest("windowing.q -- 1. testWindowing", + s""" + |select p_mfgr, p_name, p_size, + |rank() over(distribute by p_mfgr sort by p_name) as r, + |dense_rank() over(distribute by p_mfgr sort by p_name) as dr, + |sum(p_retailprice) over + |(distribute by p_mfgr sort by p_name rows between unbounded preceding and current row) as s1 + |from part + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 2. testGroupByWithPartitioning", + s""" + |select p_mfgr, p_name, p_size, + |min(p_retailprice), + |rank() over(distribute by p_mfgr sort by p_name)as r, + |dense_rank() over(distribute by p_mfgr sort by p_name) as dr, + |p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz + |from part + |group by p_mfgr, p_name, p_size + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 3. testGroupByHavingWithSWQ", + s""" + |select p_mfgr, p_name, p_size, min(p_retailprice), + |rank() over(distribute by p_mfgr sort by p_name) as r, + |dense_rank() over(distribute by p_mfgr sort by p_name) as dr, + |p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz + |from part + |group by p_mfgr, p_name, p_size + |having p_size > 0 + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 4. testCount", + s""" + |select p_mfgr, p_name, + |count(p_size) over(distribute by p_mfgr sort by p_name) as cd + |from part + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 5. testCountWithWindowingUDAF", + s""" + |select p_mfgr, p_name, + |rank() over(distribute by p_mfgr sort by p_name) as r, + |dense_rank() over(distribute by p_mfgr sort by p_name) as dr, + |count(p_size) over(distribute by p_mfgr sort by p_name) as cd, + |p_retailprice, sum(p_retailprice) over (distribute by p_mfgr sort by p_name + | rows between unbounded preceding and current row) as s1, + |p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz + |from part + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 6. testCountInSubQ", + s""" + |select sub1.r, sub1.dr, sub1.cd, sub1.s1, sub1.deltaSz + |from (select p_mfgr, p_name, + |rank() over(distribute by p_mfgr sort by p_name) as r, + |dense_rank() over(distribute by p_mfgr sort by p_name) as dr, + |count(p_size) over(distribute by p_mfgr sort by p_name) as cd, + |p_retailprice, sum(p_retailprice) over (distribute by p_mfgr sort by p_name + | rows between unbounded preceding and current row) as s1, + |p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz + |from part + |) sub1 + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 8. testMixedCaseAlias", + s""" + |select p_mfgr, p_name, p_size, + |rank() over(distribute by p_mfgr sort by p_name, p_size desc) as R + |from part + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 9. testHavingWithWindowingNoGBY", + s""" + |select p_mfgr, p_name, p_size, + |rank() over(distribute by p_mfgr sort by p_name) as r, + |dense_rank() over(distribute by p_mfgr sort by p_name) as dr, + |sum(p_retailprice) over (distribute by p_mfgr sort by p_name + | rows between unbounded preceding and current row) as s1 + |from part + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 10. testHavingWithWindowingCondRankNoGBY", + s""" + |select p_mfgr, p_name, p_size, + |rank() over(distribute by p_mfgr sort by p_name) as r, + |dense_rank() over(distribute by p_mfgr sort by p_name) as dr, + |sum(p_retailprice) over (distribute by p_mfgr sort by p_name + | rows between unbounded preceding and current row) as s1 + |from part + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 11. testFirstLast", + s""" + |select p_mfgr,p_name, p_size, + |sum(p_size) over (distribute by p_mfgr sort by p_name + |rows between current row and current row) as s2, + |first_value(p_size) over w1 as f, + |last_value(p_size, false) over w1 as l + |from part + |window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 12. testFirstLastWithWhere", + s""" + |select p_mfgr,p_name, p_size, + |rank() over(distribute by p_mfgr sort by p_name) as r, + |sum(p_size) over (distribute by p_mfgr sort by p_name + |rows between current row and current row) as s2, + |first_value(p_size) over w1 as f, + |last_value(p_size, false) over w1 as l + |from part + |where p_mfgr = 'Manufacturer#3' + |window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 13. testSumWindow", + s""" + |select p_mfgr,p_name, p_size, + |sum(p_size) over w1 as s1, + |sum(p_size) over (distribute by p_mfgr sort by p_name + |rows between current row and current row) as s2 + |from part + |window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 14. testNoSortClause", + s""" + |select p_mfgr,p_name, p_size, + |rank() over(distribute by p_mfgr sort by p_name) as r, + |dense_rank() over(distribute by p_mfgr sort by p_name) as dr + |from part + |window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 15. testExpressions", + s""" + |select p_mfgr,p_name, p_size, + |rank() over(distribute by p_mfgr sort by p_name) as r, + |dense_rank() over(distribute by p_mfgr sort by p_name) as dr, + |cume_dist() over(distribute by p_mfgr sort by p_name) as cud, + |percent_rank() over(distribute by p_mfgr sort by p_name) as pr, + |ntile(3) over(distribute by p_mfgr sort by p_name) as nt, + |count(p_size) over(distribute by p_mfgr sort by p_name) as ca, + |avg(p_size) over(distribute by p_mfgr sort by p_name) as avg, + |stddev(p_size) over(distribute by p_mfgr sort by p_name) as st, + |first_value(p_size % 5) over(distribute by p_mfgr sort by p_name) as fv, + |last_value(p_size) over(distribute by p_mfgr sort by p_name) as lv, + |first_value(p_size) over w1 as fvW1 + |from part + |window w1 as (distribute by p_mfgr sort by p_mfgr, p_name + | rows between 2 preceding and 2 following) + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 16. testMultipleWindows", + s""" + |select p_mfgr,p_name, p_size, + |rank() over(distribute by p_mfgr sort by p_name) as r, + |dense_rank() over(distribute by p_mfgr sort by p_name) as dr, + |cume_dist() over(distribute by p_mfgr sort by p_name) as cud, + |sum(p_size) over (distribute by p_mfgr sort by p_name + |range between unbounded preceding and current row) as s1, + |sum(p_size) over (distribute by p_mfgr sort by p_size + |range between 5 preceding and current row) as s2, + |first_value(p_size) over w1 as fv1 + |from part + |window w1 as (distribute by p_mfgr sort by p_mfgr, p_name + | rows between 2 preceding and 2 following) + """.stripMargin, reset = false) + + + createQueryTest("windowing.q -- 17. testCountStar", + s""" + |select p_mfgr,p_name, p_size, + |count(*) over(distribute by p_mfgr sort by p_name ) as c, + |count(p_size) over(distribute by p_mfgr sort by p_name) as ca, + |first_value(p_size) over w1 as fvW1 + |from part + |window w1 as (distribute by p_mfgr sort by p_mfgr, p_name + | rows between 2 preceding and 2 following) + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 18. testUDAFs", + s""" + |select p_mfgr,p_name, p_size, + |sum(p_retailprice) over w1 as s, + |min(p_retailprice) over w1 as mi, + |max(p_retailprice) over w1 as ma, + |avg(p_retailprice) over w1 as ag + |from part + |window w1 as (distribute by p_mfgr sort by p_mfgr, p_name + | rows between 2 preceding and 2 following) + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 19. testUDAFsWithGBY", + """ + |select p_mfgr,p_name, p_size, p_retailprice, + |sum(p_retailprice) over w1 as s, + |min(p_retailprice) as mi , + |max(p_retailprice) as ma , + |avg(p_retailprice) over w1 as ag + |from part + |group by p_mfgr,p_name, p_size, p_retailprice + |window w1 as (distribute by p_mfgr sort by p_mfgr, p_name + | rows between 2 preceding and 2 following); + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 20. testSTATs", + """ + |select p_mfgr,p_name, p_size, + |stddev(p_retailprice) over w1 as sdev, + |stddev_pop(p_retailprice) over w1 as sdev_pop, + |collect_set(p_size) over w1 as uniq_size, + |variance(p_retailprice) over w1 as var, + |corr(p_size, p_retailprice) over w1 as cor, + |covar_pop(p_size, p_retailprice) over w1 as covarp + |from part + |window w1 as (distribute by p_mfgr sort by p_mfgr, p_name + | rows between 2 preceding and 2 following) + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 21. testDISTs", + """ + |select p_mfgr,p_name, p_size, + |histogram_numeric(p_retailprice, 5) over w1 as hist, + |percentile(p_partkey, 0.5) over w1 as per, + |row_number() over(distribute by p_mfgr sort by p_name) as rn + |from part + |window w1 as (distribute by p_mfgr sort by p_mfgr, p_name + | rows between 2 preceding and 2 following) + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 24. testLateralViews", + """ + |select p_mfgr, p_name, + |lv_col, p_size, sum(p_size) over w1 as s + |from (select p_mfgr, p_name, p_size, array(1,2,3) arr from part) p + |lateral view explode(arr) part_lv as lv_col + |window w1 as (distribute by p_mfgr sort by p_size, lv_col + | rows between 2 preceding and current row) + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 26. testGroupByHavingWithSWQAndAlias", + """ + |select p_mfgr, p_name, p_size, min(p_retailprice) as mi, + |rank() over(distribute by p_mfgr sort by p_name) as r, + |dense_rank() over(distribute by p_mfgr sort by p_name) as dr, + |p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz + |from part + |group by p_mfgr, p_name, p_size + |having p_size > 0 + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 27. testMultipleRangeWindows", + """ + |select p_mfgr,p_name, p_size, + |sum(p_size) over (distribute by p_mfgr sort by p_size + |range between 10 preceding and current row) as s2, + |sum(p_size) over (distribute by p_mfgr sort by p_size + |range between current row and 10 following ) as s1 + |from part + |window w1 as (rows between 2 preceding and 2 following) + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 28. testPartOrderInUDAFInvoke", + """ + |select p_mfgr, p_name, p_size, + |sum(p_size) over (partition by p_mfgr order by p_name + |rows between 2 preceding and 2 following) as s + |from part + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 29. testPartOrderInWdwDef", + """ + |select p_mfgr, p_name, p_size, + |sum(p_size) over w1 as s + |from part + |window w1 as (partition by p_mfgr order by p_name + | rows between 2 preceding and 2 following) + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 30. testDefaultPartitioningSpecRules", + """ + |select p_mfgr, p_name, p_size, + |sum(p_size) over w1 as s, + |sum(p_size) over w2 as s2 + |from part + |window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following), + | w2 as (partition by p_mfgr order by p_name) + """.stripMargin, reset = false) + + /* p_name is not a numeric column. What is Hive's semantic? + createQueryTest("windowing.q -- 31. testWindowCrossReference", + """ + |select p_mfgr, p_name, p_size, + |sum(p_size) over w1 as s1, + |sum(p_size) over w2 as s2 + |from part + |window w1 as (partition by p_mfgr order by p_name + | range between 2 preceding and 2 following), + | w2 as w1 + """.stripMargin, reset = false) + */ + /* + createQueryTest("windowing.q -- 32. testWindowInheritance", + """ + |select p_mfgr, p_name, p_size, + |sum(p_size) over w1 as s1, + |sum(p_size) over w2 as s2 + |from part + |window w1 as (partition by p_mfgr order by p_name + | range between 2 preceding and 2 following), + | w2 as (w1 rows between unbounded preceding and current row) + """.stripMargin, reset = false) + */ + + /* p_name is not a numeric column. What is Hive's semantic? + createQueryTest("windowing.q -- 33. testWindowForwardReference", + """ + |select p_mfgr, p_name, p_size, + |sum(p_size) over w1 as s1, + |sum(p_size) over w2 as s2, + |sum(p_size) over w3 as s3 + |from part + |window w1 as (distribute by p_mfgr sort by p_name + | range between 2 preceding and 2 following), + | w2 as w3, + | w3 as (distribute by p_mfgr sort by p_name + | range between unbounded preceding and current row) + """.stripMargin, reset = false) + */ + /* + createQueryTest("windowing.q -- 34. testWindowDefinitionPropagation", + """ + |select p_mfgr, p_name, p_size, + |sum(p_size) over w1 as s1, + |sum(p_size) over w2 as s2, + |sum(p_size) over (w3 rows between 2 preceding and 2 following) as s3 + |from part + |window w1 as (distribute by p_mfgr sort by p_name + | range between 2 preceding and 2 following), + | w2 as w3, + | w3 as (distribute by p_mfgr sort by p_name + | range between unbounded preceding and current row) + """.stripMargin, reset = false) + */ + + /* Seems Hive evaluate SELECT DISTINCT before window functions? + createQueryTest("windowing.q -- 35. testDistinctWithWindowing", + """ + |select DISTINCT p_mfgr, p_name, p_size, + |sum(p_size) over w1 as s + |from part + |window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) + """.stripMargin, reset = false) + */ + + createQueryTest("windowing.q -- 36. testRankWithPartitioning", + """ + |select p_mfgr, p_name, p_size, + |rank() over (partition by p_mfgr order by p_name ) as r + |from part + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 37. testPartitioningVariousForms", + """ + |select p_mfgr, + |round(sum(p_retailprice) over (partition by p_mfgr order by p_mfgr),2) as s1, + |min(p_retailprice) over (partition by p_mfgr) as s2, + |max(p_retailprice) over (distribute by p_mfgr sort by p_mfgr) as s3, + |round(avg(p_retailprice) over (distribute by p_mfgr),2) as s4, + |count(p_retailprice) over (cluster by p_mfgr ) as s5 + |from part + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 38. testPartitioningVariousForms2", + """ + |select p_mfgr, p_name, p_size, + |sum(p_retailprice) over (partition by p_mfgr, p_name order by p_mfgr, p_name + |rows between unbounded preceding and current row) as s1, + |min(p_retailprice) over (distribute by p_mfgr, p_name sort by p_mfgr, p_name + |rows between unbounded preceding and current row) as s2, + |max(p_retailprice) over (partition by p_mfgr, p_name order by p_name) as s3 + |from part + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 39. testUDFOnOrderCols", + """ + |select p_mfgr, p_type, substr(p_type, 2) as short_ptype, + |rank() over (partition by p_mfgr order by substr(p_type, 2)) as r + |from part + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 40. testNoBetweenForRows", + """ + |select p_mfgr, p_name, p_size, + |sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows unbounded preceding) as s1 + |from part + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 41. testNoBetweenForRange", + """ + |select p_mfgr, p_name, p_size, + |sum(p_retailprice) over (distribute by p_mfgr sort by p_size range unbounded preceding) as s1 + |from part + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 42. testUnboundedFollowingForRows", + """ + |select p_mfgr, p_name, p_size, + |sum(p_retailprice) over (distribute by p_mfgr sort by p_name + |rows between current row and unbounded following) as s1 + |from part + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 43. testUnboundedFollowingForRange", + """ + |select p_mfgr, p_name, p_size, + |sum(p_retailprice) over (distribute by p_mfgr sort by p_size + |range between current row and unbounded following) as s1 + |from part + """.stripMargin, reset = false) + + createQueryTest("windowing.q -- 44. testOverNoPartitionSingleAggregate", + """ + |select p_name, p_retailprice, + |round(avg(p_retailprice) over(),2) + |from part + |order by p_name + """.stripMargin, reset = false) +} + +class HiveWindowFunctionQueryWithoutCodeGenSuite extends HiveWindowFunctionQueryBaseSuite { + var originalCodegenEnabled: Boolean = _ + override def beforeAll(): Unit = { + super.beforeAll() + originalCodegenEnabled = conf.codegenEnabled + sql("set spark.sql.codegen=false") + } + + override def afterAll(): Unit = { + sql(s"set spark.sql.codegen=$originalCodegenEnabled") + super.afterAll() + } +} + +abstract class HiveWindowFunctionQueryFileBaseSuite + extends HiveCompatibilitySuite with BeforeAndAfter { + private val originalTimeZone = TimeZone.getDefault + private val originalLocale = Locale.getDefault + private val testTempDir = Utils.createTempDir() + + override def beforeAll() { + TestHive.cacheTables = true + // Timezone is fixed to America/Los_Angeles for those timezone sensitive tests (timestamp_*) + TimeZone.setDefault(TimeZone.getTimeZone("America/Los_Angeles")) + // Add Locale setting + Locale.setDefault(Locale.US) + + // The following settings are used for generating golden files with Hive. + // We have to use kryo to correctly let Hive serialize plans with window functions. + // This is used to generate golden files. + sql("set hive.plan.serialization.format=kryo") + // Explicitly set fs to local fs. + sql(s"set fs.default.name=file://$testTempDir/") + // Ask Hive to run jobs in-process as a single map and reduce task. + sql("set mapred.job.tracker=local") + } + + override def afterAll() { + TestHive.cacheTables = false + TimeZone.setDefault(originalTimeZone) + Locale.setDefault(originalLocale) + TestHive.reset() + } + + override def blackList: Seq[String] = Seq( + // Partitioned table functions are not supported. + "ptf*", + // tests of windowing.q are in HiveWindowFunctionQueryBaseSuite + "windowing.q", + + // This one failed on the expression of + // sum(lag(p_retailprice,1,0.0)) over w1 + // lag(p_retailprice,1,0.0) is a GenericUDF and the argument inspector of + // p_retailprice created by HiveInspectors is + // PrimitiveObjectInspectorFactory.javaDoubleObjectInspector. + // However, seems Hive assumes it is + // PrimitiveObjectInspectorFactory.writableDoubleObjectInspector, which introduces an error. + "windowing_expressions", + + // Hive's results are not deterministic + "windowing_multipartitioning", + "windowing_navfn", + "windowing_ntile", + "windowing_udaf", + "windowing_windowspec", + "windowing_rank" + ) + + override def whiteList: Seq[String] = Seq( + "windowing_udaf2", + "windowing_columnPruning", + "windowing_adjust_rowcontainer_sz" + ) + + override def testCases: Seq[(String, File)] = super.testCases.filter { + case (name, _) => realWhiteList.contains(name) + } +} + +class HiveWindowFunctionQueryFileWithoutCodeGenSuite extends HiveWindowFunctionQueryFileBaseSuite { + var originalCodegenEnabled: Boolean = _ + override def beforeAll(): Unit = { + super.beforeAll() + originalCodegenEnabled = conf.codegenEnabled + sql("set spark.sql.codegen=false") + } + + override def afterAll(): Unit = { + sql(s"set spark.sql.codegen=$originalCodegenEnabled") + super.afterAll() + } +} diff --git a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala index 630dec8fa0..616352d223 100644 --- a/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala +++ b/sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/SQLQuerySuite.scala @@ -48,6 +48,10 @@ case class Order( state: String, month: Int) +case class WindowData( + month: Int, + area: String, + product: Int) /** A SQL Dialect for testing purpose, and it can not be nested type */ class MyDialect extends DefaultDialect @@ -604,4 +608,147 @@ class SQLQuerySuite extends QueryTest { sql("SELECT TRANSFORM (d1, d2, d3) USING 'cat' AS (a,b,c) FROM script_trans") .queryExecution.toRdd.count()) } + + test("window function: udaf with aggregate expressin") { + val data = Seq( + WindowData(1, "a", 5), + WindowData(2, "a", 6), + WindowData(3, "b", 7), + WindowData(4, "b", 8), + WindowData(5, "c", 9), + WindowData(6, "c", 10) + ) + sparkContext.parallelize(data).toDF().registerTempTable("windowData") + + checkAnswer( + sql( + """ + |select area, sum(product), sum(sum(product)) over (partition by area) + |from windowData group by month, area + """.stripMargin), + Seq( + ("a", 5, 11), + ("a", 6, 11), + ("b", 7, 15), + ("b", 8, 15), + ("c", 9, 19), + ("c", 10, 19) + ).map(i => Row(i._1, i._2, i._3))) + + checkAnswer( + sql( + """ + |select area, sum(product) - 1, sum(sum(product)) over (partition by area) + |from windowData group by month, area + """.stripMargin), + Seq( + ("a", 4, 11), + ("a", 5, 11), + ("b", 6, 15), + ("b", 7, 15), + ("c", 8, 19), + ("c", 9, 19) + ).map(i => Row(i._1, i._2, i._3))) + + checkAnswer( + sql( + """ + |select area, sum(product), sum(product) / sum(sum(product)) over (partition by area) + |from windowData group by month, area + """.stripMargin), + Seq( + ("a", 5, 5d/11), + ("a", 6, 6d/11), + ("b", 7, 7d/15), + ("b", 8, 8d/15), + ("c", 10, 10d/19), + ("c", 9, 9d/19) + ).map(i => Row(i._1, i._2, i._3))) + + checkAnswer( + sql( + """ + |select area, sum(product), sum(product) / sum(sum(product) - 1) over (partition by area) + |from windowData group by month, area + """.stripMargin), + Seq( + ("a", 5, 5d/9), + ("a", 6, 6d/9), + ("b", 7, 7d/13), + ("b", 8, 8d/13), + ("c", 10, 10d/17), + ("c", 9, 9d/17) + ).map(i => Row(i._1, i._2, i._3))) + } + + test("window function: partition and order expressions") { + val data = Seq( + WindowData(1, "a", 5), + WindowData(2, "a", 6), + WindowData(3, "b", 7), + WindowData(4, "b", 8), + WindowData(5, "c", 9), + WindowData(6, "c", 10) + ) + sparkContext.parallelize(data).toDF().registerTempTable("windowData") + + checkAnswer( + sql( + """ + |select month, area, product, sum(product + 1) over (partition by 1 order by 2) + |from windowData + """.stripMargin), + Seq( + (1, "a", 5, 51), + (2, "a", 6, 51), + (3, "b", 7, 51), + (4, "b", 8, 51), + (5, "c", 9, 51), + (6, "c", 10, 51) + ).map(i => Row(i._1, i._2, i._3, i._4))) + + checkAnswer( + sql( + """ + |select month, area, product, sum(product) + |over (partition by month % 2 order by 10 - product) + |from windowData + """.stripMargin), + Seq( + (1, "a", 5, 21), + (2, "a", 6, 24), + (3, "b", 7, 16), + (4, "b", 8, 18), + (5, "c", 9, 9), + (6, "c", 10, 10) + ).map(i => Row(i._1, i._2, i._3, i._4))) + } + + test("window function: expressions in arguments of a window functions") { + val data = Seq( + WindowData(1, "a", 5), + WindowData(2, "a", 6), + WindowData(3, "b", 7), + WindowData(4, "b", 8), + WindowData(5, "c", 9), + WindowData(6, "c", 10) + ) + sparkContext.parallelize(data).toDF().registerTempTable("windowData") + + checkAnswer( + sql( + """ + |select month, area, month % 2, + |lag(product, 1 + 1, product) over (partition by month % 2 order by area) + |from windowData + """.stripMargin), + Seq( + (1, "a", 1, 5), + (2, "a", 0, 6), + (3, "b", 1, 7), + (4, "b", 0, 8), + (5, "c", 1, 5), + (6, "c", 0, 6) + ).map(i => Row(i._1, i._2, i._3, i._4))) + } } |