Packages

case class GpuDenseRank(children: Seq[Expression]) extends Expression with GpuRunningWindowFunction with GpuBatchedRunningWindowWithFixer with Product with Serializable

Dense Rank is a special window operation where it is only supported as a running window. In cudf it is only supported as a scan and a group by scan.

children

the order by columns.

Note

this is a running window only operator

Linear Supertypes
Serializable, Serializable, GpuBatchedRunningWindowWithFixer, GpuRunningWindowFunction, GpuWindowFunction, ShimExpression, GpuUnevaluable, GpuExpression, Expression, TreeNode[Expression], Product, Equals, AnyRef, Any
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Inherited
  1. GpuDenseRank
  2. Serializable
  3. Serializable
  4. GpuBatchedRunningWindowWithFixer
  5. GpuRunningWindowFunction
  6. GpuWindowFunction
  7. ShimExpression
  8. GpuUnevaluable
  9. GpuExpression
  10. Expression
  11. TreeNode
  12. Product
  13. Equals
  14. AnyRef
  15. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new GpuDenseRank(children: Seq[Expression])

    children

    the order by columns.

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. def apply(number: Int): TreeNode[_]
    Definition Classes
    TreeNode
  5. def argString(maxFields: Int): String
    Definition Classes
    TreeNode
  6. def asCode: String
    Definition Classes
    TreeNode
  7. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  8. 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
  9. lazy val canonicalized: Expression
    Definition Classes
    GpuExpression → Expression
  10. def checkInputDataTypes(): TypeCheckResult
    Definition Classes
    Expression
  11. val children: Seq[Expression]
    Definition Classes
    GpuDenseRank → TreeNode
  12. def childrenResolved: Boolean
    Definition Classes
    Expression
  13. def clone(): Expression
    Definition Classes
    TreeNode → AnyRef
  14. def collect[B](pf: PartialFunction[Expression, B]): Seq[B]
    Definition Classes
    TreeNode
  15. def collectFirst[B](pf: PartialFunction[Expression, B]): Option[B]
    Definition Classes
    TreeNode
  16. def collectLeaves(): Seq[Expression]
    Definition Classes
    TreeNode
  17. 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
  18. 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
  19. lazy val containsChild: Set[TreeNode[_]]
    Definition Classes
    TreeNode
  20. 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
  21. def copyTagsFrom(other: Expression): Unit
    Definition Classes
    TreeNode
  22. def dataType: DataType
    Definition Classes
    GpuDenseRank → Expression
  23. lazy val deterministic: Boolean
    Definition Classes
    Expression
  24. 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
  25. 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
  26. final def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode
    Definition Classes
    GpuExpression → Expression
  27. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  28. final def eval(input: InternalRow = null): Any
    Definition Classes
    GpuExpression → Expression
  29. def fastEquals(other: TreeNode[_]): Boolean
    Definition Classes
    TreeNode
  30. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  31. def find(f: (Expression) ⇒ Boolean): Option[Expression]
    Definition Classes
    TreeNode
  32. def flatArguments: Iterator[Any]
    Attributes
    protected
    Definition Classes
    Expression
  33. def flatMap[A](f: (Expression) ⇒ TraversableOnce[A]): Seq[A]
    Definition Classes
    TreeNode
  34. def foldable: Boolean
    Definition Classes
    Expression
  35. def foreach(f: (Expression) ⇒ Unit): Unit
    Definition Classes
    TreeNode
  36. def foreachUp(f: (Expression) ⇒ Unit): Unit
    Definition Classes
    TreeNode
  37. def genCode(ctx: CodegenContext): ExprCode
    Definition Classes
    Expression
  38. 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
  39. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  40. 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
  41. def getTagValue[T](tag: TreeNodeTag[T]): Option[T]
    Definition Classes
    TreeNode
  42. 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
    GpuDenseRank → GpuRunningWindowFunction
  43. 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
    GpuDenseRank → GpuRunningWindowFunction
  44. 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
  45. def hashCode(): Int
    Definition Classes
    TreeNode → AnyRef → Any
  46. def innerChildren: Seq[TreeNode[_]]
    Definition Classes
    TreeNode
  47. 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
  48. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  49. 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
  50. def jsonFields: List[JField]
    Attributes
    protected
    Definition Classes
    TreeNode
  51. def makeCopy(newArgs: Array[AnyRef]): Expression
    Definition Classes
    TreeNode
  52. def map[A](f: (Expression) ⇒ A): Seq[A]
    Definition Classes
    TreeNode
  53. def mapChildren(f: (Expression) ⇒ Expression): Expression
    Definition Classes
    TreeNode
  54. def mapProductIterator[B](f: (Any) ⇒ B)(implicit arg0: ClassTag[B]): Array[B]
    Attributes
    protected
    Definition Classes
    TreeNode
  55. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  56. 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
    GpuDenseRank → GpuBatchedRunningWindowWithFixer
  57. def nodeName: String
    Definition Classes
    TreeNode
  58. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  59. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  60. def nullable: Boolean
    Definition Classes
    GpuDenseRank → Expression
  61. def numberedTreeString: String
    Definition Classes
    TreeNode
  62. val origin: Origin
    Definition Classes
    TreeNode
  63. def otherCopyArgs: Seq[AnyRef]
    Attributes
    protected
    Definition Classes
    TreeNode
  64. def p(number: Int): Expression
    Definition Classes
    TreeNode
  65. def prettyJson: String
    Definition Classes
    TreeNode
  66. def prettyName: String
    Definition Classes
    Expression
  67. def references: AttributeSet
    Definition Classes
    Expression
  68. lazy val resolved: Boolean
    Definition Classes
    Expression
  69. 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
  70. 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
    GpuDenseRank → GpuRunningWindowFunction
  71. 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
    GpuRunningWindowFunction
  72. 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
    GpuDenseRank → GpuRunningWindowFunction
  73. 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
  74. def semanticEquals(other: Expression): Boolean
    Definition Classes
    Expression
  75. def semanticHash(): Int
    Definition Classes
    Expression
  76. def setTagValue[T](tag: TreeNodeTag[T], value: T): Unit
    Definition Classes
    TreeNode
  77. def simpleString(maxFields: Int): String
    Definition Classes
    Expression → TreeNode
  78. def simpleStringWithNodeId(): String
    Definition Classes
    Expression → TreeNode
  79. def sql: String
    Definition Classes
    Expression
  80. def stringArgs: Iterator[Any]
    Attributes
    protected
    Definition Classes
    TreeNode
  81. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  82. def toJSON: String
    Definition Classes
    TreeNode
  83. def toString(): String
    Definition Classes
    Expression → TreeNode → AnyRef → Any
  84. def transform(rule: PartialFunction[Expression, Expression]): Expression
    Definition Classes
    TreeNode
  85. def transformDown(rule: PartialFunction[Expression, Expression]): Expression
    Definition Classes
    TreeNode
  86. def transformUp(rule: PartialFunction[Expression, Expression]): Expression
    Definition Classes
    TreeNode
  87. def treeString(append: (String) ⇒ Unit, verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): Unit
    Definition Classes
    TreeNode
  88. final def treeString(verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): String
    Definition Classes
    TreeNode
  89. final def treeString: String
    Definition Classes
    TreeNode
  90. def unsetTagValue[T](tag: TreeNodeTag[T]): Unit
    Definition Classes
    TreeNode
  91. final def verboseString(maxFields: Int): String
    Definition Classes
    Expression → TreeNode
  92. def verboseStringWithSuffix(maxFields: Int): String
    Definition Classes
    TreeNode
  93. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  94. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  95. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  96. def withNewChildren(newChildren: Seq[Expression]): Expression
    Definition Classes
    TreeNode

Inherited from Serializable

Inherited from Serializable

Inherited from GpuBatchedRunningWindowWithFixer

Inherited from GpuRunningWindowFunction

Inherited from GpuWindowFunction

Inherited from ShimExpression

Inherited from GpuUnevaluable

Inherited from GpuExpression

Inherited from Expression

Inherited from TreeNode[Expression]

Inherited from Product

Inherited from Equals

Inherited from AnyRef

Inherited from Any

Ungrouped