Packages

c

com.nvidia.spark.rapids

GpuRoundRobinPartitioning

case class GpuRoundRobinPartitioning(numPartitions: Int) extends Expression with GpuExpression with ShimExpression with GpuPartitioning with Product with Serializable

Represents a partitioning where incoming columnar batched rows are distributed evenly across output partitions by starting from a zero-th partition number and distributing rows in a round-robin fashion. This partitioning is used when implementing the DataFrame.repartition() operator.

Linear Supertypes
Serializable, Serializable, GpuPartitioning, Partitioning, ShimExpression, GpuExpression, Expression, TreeNode[Expression], Product, Equals, AnyRef, Any
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Inherited
  1. GpuRoundRobinPartitioning
  2. Serializable
  3. Serializable
  4. GpuPartitioning
  5. Partitioning
  6. ShimExpression
  7. GpuExpression
  8. Expression
  9. TreeNode
  10. Product
  11. Equals
  12. AnyRef
  13. Any
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Visibility
  1. Public
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Instance Constructors

  1. new GpuRoundRobinPartitioning(numPartitions: Int)

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. lazy val canonicalized: Expression
    Definition Classes
    GpuExpression → Expression
  9. def checkInputDataTypes(): TypeCheckResult
    Definition Classes
    Expression
  10. def children: Seq[GpuExpression]
    Definition Classes
    GpuRoundRobinPartitioning → TreeNode
  11. def childrenResolved: Boolean
    Definition Classes
    Expression
  12. def clone(): Expression
    Definition Classes
    TreeNode → AnyRef
  13. def collect[B](pf: PartialFunction[Expression, B]): Seq[B]
    Definition Classes
    TreeNode
  14. def collectFirst[B](pf: PartialFunction[Expression, B]): Option[B]
    Definition Classes
    TreeNode
  15. def collectLeaves(): Seq[Expression]
    Definition Classes
    TreeNode
  16. final def columnarEval(batch: ColumnarBatch): GpuColumnVector
    Definition Classes
    GpuPartitioning
  17. 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
    GpuRoundRobinPartitioning → GpuExpression
  18. def compressSplits(outputBatches: ArrayBuffer[ColumnarBatch], codec: TableCompressionCodec, contiguousTables: Array[ContiguousTable]): Unit

    Compress contiguous tables representing the splits into compressed columnar batches.

    Compress contiguous tables representing the splits into compressed columnar batches. Contiguous tables corresponding to splits with no data will not be compressed.

    outputBatches

    where to collect the corresponding columnar batches for the splits

    codec

    compression codec to use

    contiguousTables

    contiguous tables to compress

    Definition Classes
    GpuPartitioning
  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
    GpuRoundRobinPartitioning → 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 getTagValue[T](tag: TreeNodeTag[T]): Option[T]
    Definition Classes
    TreeNode
  41. 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
  42. def hashCode(): Int
    Definition Classes
    TreeNode → AnyRef → Any
  43. def innerChildren: Seq[TreeNode[_]]
    Definition Classes
    TreeNode
  44. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  45. def jsonFields: List[JField]
    Attributes
    protected
    Definition Classes
    TreeNode
  46. def makeCopy(newArgs: Array[AnyRef]): Expression
    Definition Classes
    TreeNode
  47. def map[A](f: (Expression) ⇒ A): Seq[A]
    Definition Classes
    TreeNode
  48. def mapChildren(f: (Expression) ⇒ Expression): Expression
    Definition Classes
    TreeNode
  49. def mapProductIterator[B](f: (Any) ⇒ B)(implicit arg0: ClassTag[B]): Array[B]
    Attributes
    protected
    Definition Classes
    TreeNode
  50. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  51. def nodeName: String
    Definition Classes
    TreeNode
  52. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  53. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  54. def nullable: Boolean
    Definition Classes
    GpuRoundRobinPartitioning → Expression
  55. val numPartitions: Int
    Definition Classes
    GpuRoundRobinPartitioning → Partitioning
  56. def numberedTreeString: String
    Definition Classes
    TreeNode
  57. val origin: Origin
    Definition Classes
    TreeNode
  58. def otherCopyArgs: Seq[AnyRef]
    Attributes
    protected
    Definition Classes
    TreeNode
  59. def p(number: Int): Expression
    Definition Classes
    TreeNode
  60. def partitionInternal(batch: ColumnarBatch): (Array[Int], Array[GpuColumnVector])
  61. def prettyJson: String
    Definition Classes
    TreeNode
  62. def prettyName: String
    Definition Classes
    Expression
  63. def references: AttributeSet
    Definition Classes
    Expression
  64. lazy val resolved: Boolean
    Definition Classes
    Expression
  65. 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
  66. final def satisfies(required: Distribution): Boolean
    Definition Classes
    Partitioning
  67. def satisfies0(required: Distribution): Boolean
    Attributes
    protected
    Definition Classes
    Partitioning
  68. 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
  69. def semanticEquals(other: Expression): Boolean
    Definition Classes
    Expression
  70. def semanticHash(): Int
    Definition Classes
    Expression
  71. def setTagValue[T](tag: TreeNodeTag[T], value: T): Unit
    Definition Classes
    TreeNode
  72. def simpleString(maxFields: Int): String
    Definition Classes
    Expression → TreeNode
  73. def simpleStringWithNodeId(): String
    Definition Classes
    Expression → TreeNode
  74. def sliceBatch(vectors: Array[RapidsHostColumnVector], start: Int, end: Int): ColumnarBatch
    Definition Classes
    GpuPartitioning
  75. def sliceInternalGpuOrCpuAndClose(numRows: Int, partitionIndexes: Array[Int], partitionColumns: Array[GpuColumnVector]): Array[(ColumnarBatch, Int)]
    Definition Classes
    GpuPartitioning
  76. def sliceInternalOnCpuAndClose(numRows: Int, partitionIndexes: Array[Int], partitionColumns: Array[GpuColumnVector]): Array[(ColumnarBatch, Int)]
    Definition Classes
    GpuPartitioning
  77. def sliceInternalOnGpuAndClose(numRows: Int, partitionIndexes: Array[Int], partitionColumns: Array[GpuColumnVector]): Array[ColumnarBatch]
    Definition Classes
    GpuPartitioning
  78. def sql: String
    Definition Classes
    Expression
  79. def stringArgs: Iterator[Any]
    Attributes
    protected
    Definition Classes
    TreeNode
  80. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  81. def toJSON: String
    Definition Classes
    TreeNode
  82. def toString(): String
    Definition Classes
    Expression → TreeNode → AnyRef → Any
  83. def transform(rule: PartialFunction[Expression, Expression]): Expression
    Definition Classes
    TreeNode
  84. def transformDown(rule: PartialFunction[Expression, Expression]): Expression
    Definition Classes
    TreeNode
  85. def transformUp(rule: PartialFunction[Expression, Expression]): Expression
    Definition Classes
    TreeNode
  86. def treeString(append: (String) ⇒ Unit, verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): Unit
    Definition Classes
    TreeNode
  87. final def treeString(verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): String
    Definition Classes
    TreeNode
  88. final def treeString: String
    Definition Classes
    TreeNode
  89. def unsetTagValue[T](tag: TreeNodeTag[T]): Unit
    Definition Classes
    TreeNode
  90. def usesGPUShuffle: Boolean
    Definition Classes
    GpuPartitioning
  91. def usesMultiThreadedShuffle: Boolean
    Definition Classes
    GpuPartitioning
  92. final def verboseString(maxFields: Int): String
    Definition Classes
    Expression → TreeNode
  93. def verboseStringWithSuffix(maxFields: Int): String
    Definition Classes
    TreeNode
  94. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  95. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  96. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  97. def withNewChildren(newChildren: Seq[Expression]): Expression
    Definition Classes
    TreeNode

Inherited from Serializable

Inherited from Serializable

Inherited from GpuPartitioning

Inherited from Partitioning

Inherited from ShimExpression

Inherited from GpuExpression

Inherited from Expression

Inherited from TreeNode[Expression]

Inherited from Product

Inherited from Equals

Inherited from AnyRef

Inherited from Any

Ungrouped