abstract class GpuPythonFunction extends Expression with GpuUnevaluable with NonSQLExpression with UserDefinedExpression with GpuAggregateWindowFunction with Serializable

A serialized version of a Python lambda function. This is a special expression, which needs a dedicated physical operator to execute it, and thus can't be pushed down to data sources.

Linear Supertypes
Serializable, Serializable, GpuAggregateWindowFunction, GpuWindowFunction, ShimExpression, UserDefinedExpression, NonSQLExpression, GpuUnevaluable, GpuExpression, Expression, TreeNode[Expression], Product, Equals, AnyRef, Any
Known Subclasses
GpuPythonUDAF, GpuPythonUDF
Ordering
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  2. By Inheritance
Inherited
  1. GpuPythonFunction
  2. Serializable
  3. Serializable
  4. GpuAggregateWindowFunction
  5. GpuWindowFunction
  6. ShimExpression
  7. UserDefinedExpression
  8. NonSQLExpression
  9. GpuUnevaluable
  10. GpuExpression
  11. Expression
  12. TreeNode
  13. Product
  14. Equals
  15. AnyRef
  16. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new GpuPythonFunction(name: String, func: PythonFunction, dataType: DataType, children: Seq[Expression], evalType: Int, udfDeterministic: Boolean, resultId: ExprId = NamedExpression.newExprId)

Abstract Value Members

  1. abstract def canEqual(that: Any): Boolean
    Definition Classes
    Equals
  2. abstract def children: Seq[Expression]
    Definition Classes
    TreeNode
  3. abstract def dataType: DataType
    Definition Classes
    Expression
  4. abstract def productArity: Int
    Definition Classes
    Product
  5. abstract def productElement(n: Int): Any
    Definition Classes
    Product

Concrete 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 childrenResolved: Boolean
    Definition Classes
    Expression
  11. def clone(): Expression
    Definition Classes
    TreeNode → AnyRef
  12. def collect[B](pf: PartialFunction[Expression, B]): Seq[B]
    Definition Classes
    TreeNode
  13. def collectFirst[B](pf: PartialFunction[Expression, B]): Option[B]
    Definition Classes
    TreeNode
  14. def collectLeaves(): Seq[Expression]
    Definition Classes
    TreeNode
  15. 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
  16. 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
  17. lazy val containsChild: Set[TreeNode[_]]
    Definition Classes
    TreeNode
  18. 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
  19. def copyTagsFrom(other: Expression): Unit
    Definition Classes
    TreeNode
  20. lazy val deterministic: Boolean
    Definition Classes
    GpuPythonFunction → Expression
  21. 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
  22. 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
  23. final def doGenCode(ctx: CodegenContext, ev: ExprCode): ExprCode
    Definition Classes
    GpuExpression → Expression
  24. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  25. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  26. final def eval(input: InternalRow = null): Any
    Definition Classes
    GpuExpression → Expression
  27. def fastEquals(other: TreeNode[_]): Boolean
    Definition Classes
    TreeNode
  28. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  29. def find(f: (Expression) ⇒ Boolean): Option[Expression]
    Definition Classes
    TreeNode
  30. def flatArguments: Iterator[Any]
    Attributes
    protected
    Definition Classes
    Expression
  31. def flatMap[A](f: (Expression) ⇒ TraversableOnce[A]): Seq[A]
    Definition Classes
    TreeNode
  32. def foldable: Boolean
    Definition Classes
    Expression
  33. def foreach(f: (Expression) ⇒ Unit): Unit
    Definition Classes
    TreeNode
  34. def foreachUp(f: (Expression) ⇒ Unit): Unit
    Definition Classes
    TreeNode
  35. val func: PythonFunction
  36. def genCode(ctx: CodegenContext): ExprCode
    Definition Classes
    Expression
  37. 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
  38. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  39. 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
  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
    GpuPythonFunction → Expression
  55. def numberedTreeString: String
    Definition Classes
    TreeNode
  56. val origin: Origin
    Definition Classes
    TreeNode
  57. def otherCopyArgs: Seq[AnyRef]
    Attributes
    protected
    Definition Classes
    TreeNode
  58. def p(number: Int): Expression
    Definition Classes
    TreeNode
  59. def prettyJson: String
    Definition Classes
    TreeNode
  60. def prettyName: String
    Definition Classes
    Expression
  61. def productIterator: Iterator[Any]
    Definition Classes
    Product
  62. def productPrefix: String
    Definition Classes
    Product
  63. def references: AttributeSet
    Definition Classes
    Expression
  64. lazy val resolved: Boolean
    Definition Classes
    Expression
  65. lazy val resultAttribute: Attribute
  66. 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
  67. 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
    GpuPythonFunction → GpuExpression
  68. def semanticEquals(other: Expression): Boolean
    Definition Classes
    Expression
  69. def semanticHash(): Int
    Definition Classes
    Expression
  70. def setTagValue[T](tag: TreeNodeTag[T], value: T): Unit
    Definition Classes
    TreeNode
  71. def simpleString(maxFields: Int): String
    Definition Classes
    Expression → TreeNode
  72. def simpleStringWithNodeId(): String
    Definition Classes
    Expression → TreeNode
  73. final def sql: String
    Definition Classes
    NonSQLExpression → Expression
  74. def stringArgs: Iterator[Any]
    Attributes
    protected
    Definition Classes
    TreeNode
  75. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  76. def toJSON: String
    Definition Classes
    TreeNode
  77. def toString(): String
    Definition Classes
    GpuPythonFunction → Expression → TreeNode → AnyRef → Any
  78. def transform(rule: PartialFunction[Expression, Expression]): Expression
    Definition Classes
    TreeNode
  79. def transformDown(rule: PartialFunction[Expression, Expression]): Expression
    Definition Classes
    TreeNode
  80. def transformUp(rule: PartialFunction[Expression, Expression]): Expression
    Definition Classes
    TreeNode
  81. def treeString(append: (String) ⇒ Unit, verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): Unit
    Definition Classes
    TreeNode
  82. final def treeString(verbose: Boolean, addSuffix: Boolean, maxFields: Int, printOperatorId: Boolean): String
    Definition Classes
    TreeNode
  83. final def treeString: String
    Definition Classes
    TreeNode
  84. def unsetTagValue[T](tag: TreeNodeTag[T]): Unit
    Definition Classes
    TreeNode
  85. final def verboseString(maxFields: Int): String
    Definition Classes
    Expression → TreeNode
  86. def verboseStringWithSuffix(maxFields: Int): String
    Definition Classes
    TreeNode
  87. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  88. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  89. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  90. 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
    GpuPythonFunction → GpuAggregateWindowFunction
  91. 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
    GpuPythonFunction → GpuAggregateWindowFunction
  92. 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
    GpuAggregateWindowFunction
  93. def withNewChildren(newChildren: Seq[Expression]): Expression
    Definition Classes
    TreeNode

Inherited from Serializable

Inherited from Serializable

Inherited from GpuAggregateWindowFunction

Inherited from GpuWindowFunction

Inherited from ShimExpression

Inherited from UserDefinedExpression

Inherited from NonSQLExpression

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