Packages

case class GpuBasicSum(child: Expression, resultType: DataType, failOnErrorOverride: Boolean) extends GpuSum with Product with Serializable

Sum aggregation for non-decimal types

Linear Supertypes
GpuSum, Serializable, Serializable, GpuRunningWindowFunction, GpuAggregateWindowFunction, GpuWindowFunction, GpuBatchedRunningWindowWithFixer, ImplicitCastInputTypes, ExpectsInputTypes, GpuAggregateFunction, GpuUnevaluable, ShimExpression, GpuExpression, Expression, TreeNode[Expression], TreePatternBits, Product, Equals, AnyRef, Any
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Inherited
  1. GpuBasicSum
  2. GpuSum
  3. Serializable
  4. Serializable
  5. GpuRunningWindowFunction
  6. GpuAggregateWindowFunction
  7. GpuWindowFunction
  8. GpuBatchedRunningWindowWithFixer
  9. ImplicitCastInputTypes
  10. ExpectsInputTypes
  11. GpuAggregateFunction
  12. GpuUnevaluable
  13. ShimExpression
  14. GpuExpression
  15. Expression
  16. TreeNode
  17. TreePatternBits
  18. Product
  19. Equals
  20. AnyRef
  21. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new GpuBasicSum(child: Expression, resultType: DataType, failOnErrorOverride: Boolean)

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. lazy val aggBufferAttributes: Seq[AttributeReference]

    This is the contract with the outside world.

    This is the contract with the outside world. It describes what the output of postUpdate should look like, and what the input to preMerge looks like. It also describes what the output of postMerge must look like.

    Definition Classes
    GpuSum → GpuAggregateFunction
  5. def apply(number: Int): TreeNode[_]
    Definition Classes
    TreeNode
  6. def argString(maxFields: Int): String
    Definition Classes
    TreeNode
  7. def asCode: String
    Definition Classes
    TreeNode
  8. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  9. def canFixUp: Boolean

    Checks whether the running window can be fixed up.

    Checks whether the running window can be fixed up. This should be called before newFixer(), to check whether the fixer would work.

    Definition Classes
    GpuBatchedRunningWindowWithFixer
  10. lazy val canonicalized: Expression
    Definition Classes
    GpuExpression → Expression
  11. def checkInputDataTypes(): TypeCheckResult
    Definition Classes
    GpuSum → ExpectsInputTypes → Expression
  12. val child: Expression
  13. def children: Seq[Expression]
    Definition Classes
    GpuSum → TreeNode
  14. def childrenResolved: Boolean
    Definition Classes
    Expression
  15. def clone(): Expression
    Definition Classes
    TreeNode → AnyRef
  16. def collect[B](pf: PartialFunction[Expression, B]): Seq[B]
    Definition Classes
    TreeNode
  17. def collectFirst[B](pf: PartialFunction[Expression, B]): Option[B]
    Definition Classes
    TreeNode
  18. def collectLeaves(): Seq[Expression]
    Definition Classes
    TreeNode
  19. final def columnarEval(batch: ColumnarBatch): GpuColumnVector

    Returns the result of evaluating this expression on the entire ColumnarBatch.

    Returns the result of evaluating this expression on the entire ColumnarBatch. The result of calling this is a GpuColumnVector.

    By convention any GpuColumnVector returned by columnarEval is owned by the caller and will need to be closed by them. This can happen by putting it into a ColumnarBatch and closing the batch or by closing the vector directly if it is a temporary value.

    Definition Classes
    GpuUnevaluable → GpuExpression
  20. final def columnarEvalAny(batch: ColumnarBatch): Any

    Returns the result of evaluating this expression on the entire ColumnarBatch.

    Returns the result of evaluating this expression on the entire ColumnarBatch. The result of calling this may be a single GpuColumnVector or a scalar value. Scalar values typically happen if they are a part of the expression i.e. col("a") + 100. In this case the 100 is a literal that Add would have to be able to handle.

    By convention any AutoCloseable returned by columnarEvalAny is owned by the caller and will need to be closed by them.

    Definition Classes
    GpuUnevaluable → GpuExpression
  21. final def containsAllPatterns(patterns: TreePattern*): Boolean
    Definition Classes
    TreePatternBits
  22. final def containsAnyPattern(patterns: TreePattern*): Boolean
    Definition Classes
    TreePatternBits
  23. lazy val containsChild: Set[TreeNode[_]]
    Definition Classes
    TreeNode
  24. final def containsPattern(t: TreePattern): Boolean
    Definition Classes
    TreePatternBits
    Annotations
    @inline()
  25. def convertToAst(numFirstTableColumns: Int): AstExpression

    Build an equivalent representation of this expression in a cudf AST.

    Build an equivalent representation of this expression in a cudf AST.

    numFirstTableColumns

    number of columns in the leftmost input table. Spark places the columns of all inputs in a single sequence, while cudf AST uses an explicit table reference to make column indices unique. This parameter helps translate input column references from Spark's single sequence into cudf's separate sequences.

    returns

    top node of the equivalent AST

    Definition Classes
    GpuExpression
  26. def copyTagsFrom(other: Expression): Unit
    Definition Classes
    TreeNode
  27. def dataType: DataType
    Definition Classes
    GpuSum → Expression
  28. lazy val deterministic: Boolean
    Definition Classes
    Expression
  29. def disableCoalesceUntilInput(): Boolean

    Override this if your expression cannot allow combining of data from multiple files into a single batch before it operates on them.

    Override this if your expression cannot allow combining of data from multiple files into a single batch before it operates on them. These are for things like getting the input file name. Which for spark is stored in a thread local variable which means we have to jump through some hoops to make this work.

    Definition Classes
    GpuExpression
  30. def disableTieredProjectCombine: Boolean

    If this returns true then tiered project will stop looking to combine expressions when this is seen.

    If this returns true then tiered project will stop looking to combine expressions when this is seen.

    Definition Classes
    GpuExpression
  31. final def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode
    Definition Classes
    GpuExpression → Expression
  32. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  33. final def eval(input: InternalRow = null): Any
    Definition Classes
    GpuExpression → Expression
  34. lazy val evaluateExpression: Expression

    This takes the output of postMerge computes the final result of the aggregation.

    This takes the output of postMerge computes the final result of the aggregation.

    Definition Classes
    GpuSum → GpuAggregateFunction
    Note

    evaluateExpression is bound to aggBufferAttributes, so the references used in evaluateExpression must also be used in aggBufferAttributes.

  35. val failOnErrorOverride: Boolean
  36. def fastEquals(other: TreeNode[_]): Boolean
    Definition Classes
    TreeNode
  37. def filteredInputProjection(filter: Expression): Seq[Expression]
    Definition Classes
    GpuAggregateFunction
  38. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  39. def find(f: (Expression) ⇒ Boolean): Option[Expression]
    Definition Classes
    TreeNode
  40. def flatArguments: Iterator[Any]
    Attributes
    protected
    Definition Classes
    Expression
  41. def flatMap[A](f: (Expression) ⇒ TraversableOnce[A]): Seq[A]
    Definition Classes
    TreeNode
  42. final def foldable: Boolean

    An aggregate function is not foldable.

    An aggregate function is not foldable.

    Definition Classes
    GpuAggregateFunction → Expression
  43. def foreach(f: (Expression) ⇒ Unit): Unit
    Definition Classes
    TreeNode
  44. def foreachUp(f: (Expression) ⇒ Unit): Unit
    Definition Classes
    TreeNode
  45. def genCode(ctx: CodegenContext): ExprCode
    Definition Classes
    Expression
  46. def generateTreeString(depth: Int, lastChildren: Seq[Boolean], append: (String) ⇒ Unit, verbose: Boolean, prefix: String, addSuffix: Boolean, maxFields: Int, printNodeId: Boolean, indent: Int): Unit
    Definition Classes
    TreeNode
  47. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  48. def getDefaultTreePatternBits: BitSet
    Attributes
    protected
    Definition Classes
    TreeNode
  49. def getMinPeriods: Int

    Get "min-periods" value, i.e.

    Get "min-periods" value, i.e. the minimum number of periods/rows above which a non-null value is returned for the function. Otherwise, null is returned.

    returns

    Non-negative value for min-periods.

    Definition Classes
    GpuWindowFunction
  50. def getTagValue[T](tag: TreeNodeTag[T]): Option[T]
    Definition Classes
    TreeNode
  51. def groupByScanAggregation(isRunningBatched: Boolean): Seq[AggAndReplace[GroupByScanAggregation]]

    Get the aggregations to perform on the results of groupByScanInputProjection.

    Get the aggregations to perform on the results of groupByScanInputProjection. The aggregations will be zipped with the values to produce the output.

    isRunningBatched

    is this for a batched running window that will use a fixer or not?

    returns

    the aggregations to perform as a group by scan.

    Definition Classes
    GpuSum → GpuRunningWindowFunction
  52. def groupByScanInputProjection(isRunningBatched: Boolean): Seq[Expression]

    Get the input projections for a group by scan.

    Get the input projections for a group by scan. This corresponds to a running window with a partition by clause. The partition keys will be used as the grouping keys.

    isRunningBatched

    is this for a batched running window that will use a fixer or not?

    returns

    the input expressions that will be aggregated using the result from groupByScanAggregation

    Definition Classes
    GpuSum → GpuRunningWindowFunction
  53. def hasSideEffects: Boolean

    Could evaluating this expression cause side-effects, such as throwing an exception?

    Could evaluating this expression cause side-effects, such as throwing an exception?

    Definition Classes
    GpuExpression
  54. def hashCode(): Int
    Definition Classes
    TreeNode → AnyRef → Any
  55. lazy val initialValues: Seq[GpuLiteral]

    These are values that spark calls initial because it uses them to initialize the aggregation buffer, and returns them in case of an empty aggregate when there are no expressions.

    These are values that spark calls initial because it uses them to initialize the aggregation buffer, and returns them in case of an empty aggregate when there are no expressions.

    In our case they are only used in a very specific case: the empty input reduction case. In this case we don't have input to reduce, but we do have reduction functions, so each reduction function's initialValues is invoked to populate a single row of output.

    Definition Classes
    GpuSum → GpuAggregateFunction
  56. def innerChildren: Seq[TreeNode[_]]
    Definition Classes
    TreeNode
  57. lazy val inputProjection: Seq[Expression]

    Using the child reference, define the shape of input batches sent to the update expressions

    Using the child reference, define the shape of input batches sent to the update expressions

    Definition Classes
    GpuSum → GpuAggregateFunction
    Note

    this can be thought of as "pre" update: as update consumes its output in order

  58. def inputTypes: Seq[AbstractDataType]
    Definition Classes
    GpuSum → ExpectsInputTypes
  59. def isGroupByScanSupported: Boolean

    Should a group by scan be run or not.

    Should a group by scan be run or not. This should never return false unless this is also an instance of GpuAggregateWindowFunction so the window code can fall back to it for computation.

    Definition Classes
    GpuRunningWindowFunction
  60. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  61. def isRuleIneffective(ruleId: RuleId): Boolean
    Attributes
    protected
    Definition Classes
    TreeNode
  62. def isScanSupported: Boolean

    Should a scan be run or not.

    Should a scan be run or not. This should never return false unless this is also an instance of GpuAggregateWindowFunction so the window code can fall back to it for computation.

    Definition Classes
    GpuRunningWindowFunction
  63. def jsonFields: List[JField]
    Attributes
    protected
    Definition Classes
    TreeNode
  64. final def legacyWithNewChildren(newChildren: Seq[Expression]): Expression
    Attributes
    protected
    Definition Classes
    TreeNode
  65. def makeCopy(newArgs: Array[AnyRef]): Expression
    Definition Classes
    TreeNode
  66. def map[A](f: (Expression) ⇒ A): Seq[A]
    Definition Classes
    TreeNode
  67. def mapChildren(f: (Expression) ⇒ Expression): Expression
    Definition Classes
    TreeNode
  68. def mapProductIterator[B](f: (Any) ⇒ B)(implicit arg0: ClassTag[B]): Array[B]
    Attributes
    protected
    Definition Classes
    TreeNode
  69. def markRuleAsIneffective(ruleId: RuleId): Unit
    Attributes
    protected
    Definition Classes
    TreeNode
  70. lazy val mergeAggregates: Seq[CudfAggregate]

    merge: second half of the aggregation.

    merge: second half of the aggregation. Also used to merge multiple batches in the update or merge stages. These cuDF aggregates consume the output of preMerge. The sequence of CudfAggregate must match the shape of aggBufferAttributes, and care must be taken to ensure that each cuDF aggregate is able to work with the corresponding input (i.e. aggBufferAttributes[i] is the input to mergeAggregates[i]). If a transformation is required, preMerge can be used to mutate the batches before they arrive at mergeAggregates.

    Definition Classes
    GpuSum → GpuAggregateFunction
  71. lazy val mergeSum: CudfAggregate
    Attributes
    protected
    Definition Classes
    GpuSum
  72. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  73. def newFixer(): BatchedRunningWindowFixer

    Get a new class that can be used to fix up batched running window operations.

    Get a new class that can be used to fix up batched running window operations.

    Definition Classes
    GpuSum → GpuBatchedRunningWindowWithFixer
  74. def nodeName: String
    Definition Classes
    TreeNode
  75. val nodePatterns: Seq[TreePattern]
    Attributes
    protected
    Definition Classes
    TreeNode
  76. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  77. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  78. def nullable: Boolean
    Definition Classes
    GpuSum → Expression
  79. def numberedTreeString: String
    Definition Classes
    TreeNode
  80. val origin: Origin
    Definition Classes
    TreeNode
  81. def otherCopyArgs: Seq[AnyRef]
    Attributes
    protected
    Definition Classes
    TreeNode
  82. def p(number: Int): Expression
    Definition Classes
    TreeNode
  83. lazy val postMerge: Seq[Expression]
    Definition Classes
    GpuAggregateFunction
  84. final lazy val postMergeAttr: Seq[AttributeReference]

    This is the last aggregation step, which optionally changes the result of the mergeAggregate.

    This is the last aggregation step, which optionally changes the result of the mergeAggregate. postMergeAttr: matches the order (and types) of mergeAggregates postMerge: binds to postMergeAttr and defines an expression that results in what Spark expects from the merge. We set this to postMergeAttr by default, for the pass through case (like in postUpdate). GpuM2 is the exception, where postMerge mutates the result of the mergeAggregates to output what Spark expects.

    Definition Classes
    GpuAggregateFunction
  85. lazy val postUpdate: Seq[Expression]
    Definition Classes
    GpuAggregateFunction
  86. final lazy val postUpdateAttr: Seq[AttributeReference]

    This is the last step in the update phase.

    This is the last step in the update phase. It can optionally modify the result of the cuDF update aggregates, or be a pass-through. postUpdateAttr: matches the order (and types) of updateAggregates postUpdate: binds to postUpdateAttr and defines an expression that results in what Spark expects from the update. By default this is postUpdateAttr, as it should match the shape of the Spark agg buffer leaving cuDF, but in the M2 and Count cases we overwrite it, because the cuDF shape isn't what Spark expects.

    Definition Classes
    GpuAggregateFunction
  87. lazy val preMerge: Seq[Expression]

    This step is the first step into the merge phase.

    This step is the first step into the merge phase. It can optionally modify the result of the postUpdate before it goes into the cuDF merge aggregation. preMerge: modify a partial batch to match the input required by a merge aggregate

    This always binds to aggBufferAttributes as that is the inbound schema for this aggregate from Spark. If it is set to aggBufferAttributes by default so the bind behaves like a pass through in most cases.

    Definition Classes
    GpuAggregateFunction
  88. def prettyJson: String
    Definition Classes
    TreeNode
  89. def prettyName: String
    Definition Classes
    Expression
  90. def references: AttributeSet
    Definition Classes
    Expression
  91. lazy val resolved: Boolean
    Definition Classes
    Expression
  92. val resultType: DataType
  93. lazy val retryable: Boolean

    true means this expression can be used inside a retry block, otherwise false.

    true means this expression can be used inside a retry block, otherwise false. An expression is retryable when

    • it is deterministic, or
    • when being non-deterministic, it is a Retryable and its children are all retryable.
    Definition Classes
    GpuExpression
  94. def scanAggregation(isRunningBatched: Boolean): Seq[AggAndReplace[ScanAggregation]]

    Get the aggregations to perform on the results of scanInputProjection.

    Get the aggregations to perform on the results of scanInputProjection. The aggregations will be zipped with the values to produce the output.

    isRunningBatched

    is this for a batched running window that will use a fixer or not?

    returns

    the aggregations to perform as a group by scan.

    Definition Classes
    GpuSum → GpuRunningWindowFunction
  95. def scanCombine(isRunningBatched: Boolean, cols: Seq[ColumnVector]): ColumnVector

    Provides a way to combine the result of multiple aggregations into a final value.

    Provides a way to combine the result of multiple aggregations into a final value. By default it requires that there is a single aggregation and works as just a pass through.

    isRunningBatched

    is this for a batched running window that will use a fixer or not?

    cols

    the columns to be combined

    returns

    the result of combining these together.

    Definition Classes
    GpuSum → GpuRunningWindowFunction
  96. def scanInputProjection(isRunningBatched: Boolean): Seq[Expression]

    Get the input projections for a scan.

    Get the input projections for a scan. This corresponds to a running window without a partition by clause.

    isRunningBatched

    is this for a batched running window that will use a fixer or not?

    returns

    the input expressions that will be aggregated using the result from scanAggregation

    Definition Classes
    GpuSum → GpuRunningWindowFunction
  97. val selfNonDeterministic: Boolean

    Whether an expression itself is non-deterministic when its "deterministic" is false, no matter whether it has any non-deterministic children.

    Whether an expression itself is non-deterministic when its "deterministic" is false, no matter whether it has any non-deterministic children. An expression is actually a tree, and deterministic being false means there is at least one tree node is non-deterministic, but we need to know the exact nodes which are non-deterministic to check if it implements the Retryable.

    Default to false because Spark checks only children by default in Expression. So it is non-deterministic iff it has non-deterministic children.

    NOTE When overriding "deterministic", this should be taken care of.

    Definition Classes
    GpuExpression
  98. final def semanticEquals(other: Expression): Boolean
    Definition Classes
    Expression
  99. def semanticHash(): Int
    Definition Classes
    Expression
  100. def setTagValue[T](tag: TreeNodeTag[T], value: T): Unit
    Definition Classes
    TreeNode
  101. def simpleString(maxFields: Int): String
    Definition Classes
    Expression → TreeNode
  102. def simpleStringWithNodeId(): String
    Definition Classes
    Expression → TreeNode
  103. def sql(isDistinct: Boolean): String
    Definition Classes
    GpuAggregateFunction
  104. def sql: String
    Definition Classes
    Expression
  105. def stringArgs: Iterator[Any]
    Attributes
    protected
    Definition Classes
    TreeNode
  106. lazy val sum: AttributeReference
    Attributes
    protected
    Definition Classes
    GpuSum
  107. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  108. def toAggString(isDistinct: Boolean): String

    String representation used in explain plans.

    String representation used in explain plans.

    Definition Classes
    GpuAggregateFunction
  109. def toJSON: String
    Definition Classes
    TreeNode
  110. def toString(): String
    Definition Classes
    Expression → TreeNode → AnyRef → Any
  111. def transform(rule: PartialFunction[Expression, Expression]): Expression
    Definition Classes
    TreeNode
  112. def transformDown(rule: PartialFunction[Expression, Expression]): Expression
    Definition Classes
    TreeNode
  113. def transformDownWithPruning(cond: (TreePatternBits) ⇒ Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): Expression
    Definition Classes
    TreeNode
  114. def transformUp(rule: PartialFunction[Expression, Expression]): Expression
    Definition Classes
    TreeNode
  115. def transformUpWithBeforeAndAfterRuleOnChildren(cond: (Expression) ⇒ Boolean, ruleId: RuleId)(rule: PartialFunction[(Expression, Expression), Expression]): Expression
    Definition Classes
    TreeNode
  116. def transformUpWithPruning(cond: (TreePatternBits) ⇒ Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): Expression
    Definition Classes
    TreeNode
  117. def transformWithPruning(cond: (TreePatternBits) ⇒ Boolean, ruleId: RuleId)(rule: PartialFunction[Expression, Expression]): Expression
    Definition Classes
    TreeNode
  118. lazy val treePatternBits: BitSet
    Definition Classes
    TreeNode → TreePatternBits
  119. def treeString(append: (String) ⇒ Unit, verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): Unit
    Definition Classes
    TreeNode
  120. final def treeString(verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): String
    Definition Classes
    TreeNode
  121. final def treeString: String
    Definition Classes
    TreeNode
  122. def unsetTagValue[T](tag: TreeNodeTag[T]): Unit
    Definition Classes
    TreeNode
  123. lazy val updateAggregates: Seq[CudfAggregate]

    update: first half of the aggregation The sequence of CudfAggregate must match the shape of inputProjections, and care must be taken to ensure that each cuDF aggregate is able to work with the corresponding inputProjection (i.e.

    update: first half of the aggregation The sequence of CudfAggregate must match the shape of inputProjections, and care must be taken to ensure that each cuDF aggregate is able to work with the corresponding inputProjection (i.e. inputProjection[i] is the input to updateAggregates[i]).

    Definition Classes
    GpuSum → GpuAggregateFunction
  124. lazy val updateSum: CudfAggregate
    Attributes
    protected
    Definition Classes
    GpuSum
  125. final def verboseString(maxFields: Int): String
    Definition Classes
    Expression → TreeNode
  126. def verboseStringWithSuffix(maxFields: Int): String
    Definition Classes
    TreeNode
  127. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  128. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  129. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  130. def windowAggregation(inputs: Seq[(ColumnVector, Int)]): RollingAggregationOnColumn

    Create the aggregation operation to perform for Windowing.

    Create the aggregation operation to perform for Windowing. The input to this method is a sequence of (index, ColumnVector) that corresponds one to one with what was returned by windowInputProjection. The index is the index into the Table for the corresponding ColumnVector. Some aggregations need extra values.

    Definition Classes
    GpuSum → GpuAggregateWindowFunction
  131. lazy val windowInputProjection: Seq[Expression]

    Using child references, define the shape of the vectors sent to the window operations

    Using child references, define the shape of the vectors sent to the window operations

    Definition Classes
    GpuSum → GpuAggregateWindowFunction
  132. def windowOutput(result: ColumnVector): ColumnVector

    Do a final pass over the window aggregation output.

    Do a final pass over the window aggregation output. This lets us cast the result to a desired type or check for overflow. This is not used for GpuRunningWindowFunction. There you can use scanCombine.

    Definition Classes
    GpuSum → GpuAggregateWindowFunction
  133. final def withNewChildren(newChildren: Seq[Expression]): Expression
    Definition Classes
    TreeNode
  134. def withNewChildrenInternal(newChildren: IndexedSeq[Expression]): Expression
    Definition Classes
    ShimExpression → TreeNode

Inherited from GpuSum

Inherited from Serializable

Inherited from Serializable

Inherited from GpuRunningWindowFunction

Inherited from GpuAggregateWindowFunction

Inherited from GpuWindowFunction

Inherited from GpuBatchedRunningWindowWithFixer

Inherited from ImplicitCastInputTypes

Inherited from ExpectsInputTypes

Inherited from GpuAggregateFunction

Inherited from GpuUnevaluable

Inherited from ShimExpression

Inherited from GpuExpression

Inherited from Expression

Inherited from TreeNode[Expression]

Inherited from TreePatternBits

Inherited from Product

Inherited from Equals

Inherited from AnyRef

Inherited from Any

Ungrouped