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 analysis

    Provides a logical query plan Analyzer and supporting classes for performing analysis.

    Provides a logical query plan Analyzer and supporting classes for performing analysis. Analysis consists of translating UnresolvedAttributes and UnresolvedRelations into fully typed objects using information in a schema Catalog.

    Definition Classes
    catalyst
  • package catalog
    Definition Classes
    catalyst
  • package csv
    Definition Classes
    catalyst
  • package dsl

    A collection of implicit conversions that create a DSL for constructing catalyst data structures.

    A collection of implicit conversions that create a DSL for constructing catalyst data structures.

    scala> import org.apache.spark.sql.catalyst.dsl.expressions._

// Standard operators are added to expressions.
scala> import org.apache.spark.sql.catalyst.expressions.Literal
scala> Literal(1) + Literal(1)
res0: org.apache.spark.sql.catalyst.expressions.Add = (1 + 1)

// There is a conversion from 'symbols to unresolved attributes.
scala> 'a.attr
res1: org.apache.spark.sql.catalyst.analysis.UnresolvedAttribute = 'a

// These unresolved attributes can be used to create more complicated expressions.
scala> 'a === 'b
res2: org.apache.spark.sql.catalyst.expressions.EqualTo = ('a = 'b)

// SQL verbs can be used to construct logical query plans.
scala> import org.apache.spark.sql.catalyst.plans.logical._
scala> import org.apache.spark.sql.catalyst.dsl.plans._
scala> LocalRelation($"key".int, $"value".string).where('key === 1).select('value).analyze
res3: org.apache.spark.sql.catalyst.plans.logical.LogicalPlan =
Project [value#3]
 Filter (key#2 = 1)
  LocalRelation [key#2,value#3], []
    Definition Classes
    catalyst
  • package encoders
    Definition Classes
    catalyst
  • 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 json
    Definition Classes
    catalyst
  • package optimizer
    Definition Classes
    catalyst
  • package parser
    Definition Classes
    catalyst
  • package planning

    Contains classes for enumerating possible physical plans for a given logical query plan.

    Contains classes for enumerating possible physical plans for a given logical query plan.

    Definition Classes
    catalyst
  • package plans

    A collection of common abstractions for query plans as well as a base logical plan representation.

    A collection of common abstractions for query plans as well as a base logical plan representation.

    Definition Classes
    catalyst
  • package rules

    A framework for applying batches rewrite rules to trees, possibly to fixed point.

    A framework for applying batches rewrite rules to trees, possibly to fixed point.

    Definition Classes
    catalyst
  • package streaming
    Definition Classes
    catalyst
  • package trees

    A library for easily manipulating trees of operators.

    A library for easily manipulating trees of operators. Operators that extend TreeNode are granted the following interface:

    • Scala collection like methods (foreach, map, flatMap, collect, etc)

    - transform - accepts a partial function that is used to generate a new tree. When the partial function can be applied to a given tree segment, that segment is replaced with the result. After attempting to apply the partial function to a given node, the transform function recursively attempts to apply the function to that node's children.

    • debugging support - pretty printing, easy splicing of trees, etc.
    Definition Classes
    catalyst
  • package types
    Definition Classes
    catalyst
  • package util
    Definition Classes
    catalyst
  • AliasIdentifier
  • CatalystIdentifier
  • CatalystTypeConverters
  • CurrentUserContext
  • DataSourceOptions
  • DeserializerBuildHelper
  • ExtendedAnalysisException
  • FileSourceOptions
  • FunctionIdentifier
  • InternalRow
  • NoopFilters
  • OrderedFilters
  • ProjectingInternalRow
  • QualifiedTableName
  • QueryPlanningTracker
  • QueryPlanningTrackerCallback
  • SQLConfHelper
  • SerializerBuildHelper
  • StructFilters
  • TableIdentifier
o

org.apache.spark.sql.catalyst

DeserializerBuildHelper

object DeserializerBuildHelper

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  1. final def !=(arg0: Any): Boolean
    Definition Classes
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  2. final def ##: Int
    Definition Classes
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  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def addToPath(path: Expression, part: String, dataType: DataType, walkedTypePath: WalkedTypePath): Expression

    Returns the current path with a sub-field extracted.

  5. def addToPathOrdinal(path: Expression, ordinal: Int, dataType: DataType, walkedTypePath: WalkedTypePath): Expression

    Returns the current path with a field at ordinal extracted.

  6. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  7. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
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    @throws(classOf[java.lang.CloneNotSupportedException]) @native()
  8. def createDeserializer[T](enc: AgnosticEncoder[T]): Expression

    Returns an expression for deserializing the Spark SQL representation of an object into its external form.

    Returns an expression for deserializing the Spark SQL representation of an object into its external form. The mapping between the internal and external representations is described by encoder enc. The Spark SQL representation is located at ordinal 0 of a row, i.e., GetColumnByOrdinal(0, _). Nested classes will have their fields accessed using UnresolvedExtractValue.

    The returned expression is used by ExpressionEncoder. The encoder will resolve and bind this deserializer expression when using it.

    enc

    encoder that describes the mapping between the Spark SQL representation and the external representation.

  9. def createDeserializerForDuration(path: Expression): Expression
  10. def createDeserializerForInstant(path: Expression): Expression
  11. def createDeserializerForJavaBigDecimal(path: Expression, returnNullable: Boolean): Expression
  12. def createDeserializerForJavaBigInteger(path: Expression, returnNullable: Boolean): Expression
  13. def createDeserializerForLocalDate(path: Expression): Expression
  14. def createDeserializerForLocalDateTime(path: Expression): Expression
  15. def createDeserializerForPeriod(path: Expression): Expression
  16. def createDeserializerForScalaBigDecimal(path: Expression, returnNullable: Boolean): Expression
  17. def createDeserializerForScalaBigInt(path: Expression): Expression
  18. def createDeserializerForSqlDate(path: Expression): Expression
  19. def createDeserializerForSqlTimestamp(path: Expression): Expression
  20. def createDeserializerForString(path: Expression, returnNullable: Boolean): Expression
  21. def createDeserializerForTypesSupportValueOf(path: Expression, clazz: Class[_]): Expression
  22. def deserializerForWithNullSafetyAndUpcast(expr: Expression, dataType: DataType, nullable: Boolean, walkedTypePath: WalkedTypePath, funcForCreatingDeserializer: (Expression) => Expression): Expression
  23. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  24. def equals(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef → Any
  25. def expressionWithNullSafety(expr: Expression, nullable: Boolean, walkedTypePath: WalkedTypePath): Expression
  26. def finalize(): Unit
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  27. final def getClass(): Class[_ <: AnyRef]
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  28. def hashCode(): Int
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  29. final def isInstanceOf[T0]: Boolean
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  30. final def ne(arg0: AnyRef): Boolean
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  31. final def notify(): Unit
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  32. final def notifyAll(): Unit
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  33. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
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  34. def toString(): String
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  35. final def wait(): Unit
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  36. final def wait(arg0: Long, arg1: Int): Unit
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  37. final def wait(arg0: Long): Unit
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