Packages

  • package root
    Definition Classes
    root
  • package org
    Definition Classes
    root
  • package apache
    Definition Classes
    org
  • package spark
    Definition Classes
    apache
  • package sql
    Definition Classes
    spark
  • package catalyst

    Catalyst is a library for manipulating relational query plans.

    Catalyst is a library for manipulating relational query plans. All classes in catalyst are considered an internal API to Spark SQL and are subject to change between minor releases.

    Definition Classes
    sql
  • package expressions

    A set of classes that can be used to represent trees of relational expressions.

    A set of classes that can be used to represent trees of relational expressions. A key goal of the expression library is to hide the details of naming and scoping from developers who want to manipulate trees of relational operators. As such, the library defines a special type of expression, a NamedExpression in addition to the standard collection of expressions.

    Standard Expressions

    A library of standard expressions (e.g., Add, EqualTo), aggregates (e.g., SUM, COUNT), and other computations (e.g. UDFs). Each expression type is capable of determining its output schema as a function of its children's output schema.

    Named Expressions

    Some expression are named and thus can be referenced by later operators in the dataflow graph. The two types of named expressions are AttributeReferences and Aliases. AttributeReferences refer to attributes of the input tuple for a given operator and form the leaves of some expression trees. Aliases assign a name to intermediate computations. For example, in the SQL statement SELECT a+b AS c FROM ..., the expressions a and b would be represented by AttributeReferences and c would be represented by an Alias.

    During analysis, all named expressions are assigned a globally unique expression id, which can be used for equality comparisons. While the original names are kept around for debugging purposes, they should never be used to check if two attributes refer to the same value, as plan transformations can result in the introduction of naming ambiguity. For example, consider a plan that contains subqueries, both of which are reading from the same table. If an optimization removes the subqueries, scoping information would be destroyed, eliminating the ability to reason about which subquery produced a given attribute.

    Evaluation

    The result of expressions can be evaluated using the Expression.apply(Row) method.

    Definition Classes
    catalyst
  • package xml
    Definition Classes
    expressions
  • UDFXPathUtil
  • XPathBoolean
  • XPathDouble
  • XPathExtract
  • XPathFloat
  • XPathInt
  • XPathList
  • XPathLong
  • XPathShort
  • XPathString

class UDFXPathUtil extends AnyRef

Utility class for all XPath UDFs. Each UDF instance should keep an instance of this class.

This is based on Hive's UDFXPathUtil implementation.

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Instance Constructors

  1. new UDFXPathUtil()

Value Members

  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  3. final def ==(arg0: Any): Boolean
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  4. final def asInstanceOf[T0]: T0
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  5. def clone(): AnyRef
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  6. final def eq(arg0: AnyRef): Boolean
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  7. def equals(arg0: Any): Boolean
    Definition Classes
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  8. def eval(xml: String, path: String, qname: QName): AnyRef
  9. def evalBoolean(xml: String, path: String): Boolean
  10. def evalNode(xml: String, path: String): Node
  11. def evalNodeList(xml: String, path: String): NodeList
  12. def evalNumber(xml: String, path: String): Double
  13. def evalString(xml: String, path: String): String
  14. def finalize(): Unit
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  15. final def getClass(): Class[_]
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  16. def hashCode(): Int
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  17. final def isInstanceOf[T0]: Boolean
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  18. final def ne(arg0: AnyRef): Boolean
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  19. final def notify(): Unit
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  20. final def notifyAll(): Unit
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  21. final def synchronized[T0](arg0: ⇒ T0): T0
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  22. def toString(): String
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  23. final def wait(): Unit
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    @throws( ... )
  24. final def wait(arg0: Long, arg1: Int): Unit
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  25. final def wait(arg0: Long): Unit
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