Object

mimir.adaptive

DiscalaAbadiNormalizer

Related Doc: package adaptive

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object DiscalaAbadiNormalizer extends Multilens with LazyLogging

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LazyLogging, Logging, Multilens, AnyRef, Any
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  1. DiscalaAbadiNormalizer
  2. LazyLogging
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  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 attrCatalogFor(db: Database, config: MultilensConfig): Operator

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    Return an operator that computes a list of attributes in all tables.

    Return an operator that computes a list of attributes in all tables. The operator should have the schema: - TABLE_NAME : TString --- The name of the table that the attribute belongs to - ATTR_NAME : TString --- The name of the attribute itself - ATTR_TYPE : TString --- The type of the attribute - IS_KEY : TBool --- TRUE if the attribute is part of the primary key for the table

    Definition Classes
    DiscalaAbadiNormalizerMultilens
  6. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )
  7. final def convertNodesToNamesInQuery(db: Database, config: MultilensConfig, nodeCol: String, labelCol: String, typeCol: Option[String], query: Operator): Operator

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    Assuming that 'query.labelCol' is the name of a column with a spanning tree node ID, return a version of query with 'labelCol' replaced by the name of the attribute rather than its ID.

    Assuming that 'query.labelCol' is the name of a column with a spanning tree node ID, return a version of query with 'labelCol' replaced by the name of the attribute rather than its ID. Optionally add the type of the attribute in 'typeCol'.

  8. final def eq(arg0: AnyRef): Boolean

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  9. def equals(arg0: Any): Boolean

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  10. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )
  11. final def getClass(): Class[_]

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  12. def hashCode(): Int

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  13. def initSchema(db: Database, config: MultilensConfig): TraversableOnce[Model]

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    Initialize the Adaptive Schema: Initialize any required models, and populate any relevant backend tables.

    Initialize the Adaptive Schema: Initialize any required models, and populate any relevant backend tables.

    Definition Classes
    DiscalaAbadiNormalizerMultilens
  14. final def isInstanceOf[T0]: Boolean

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  15. lazy val logger: Logger

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    protected
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    LazyLogging → Logging
  16. final def ne(arg0: AnyRef): Boolean

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  17. final def notify(): Unit

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  18. final def notifyAll(): Unit

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  19. final def spanningTreeLens(db: Database, config: MultilensConfig): Operator

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    Use repair-key to construct a spanning tree out of the Functional Dependency Graph

    Use repair-key to construct a spanning tree out of the Functional Dependency Graph

    Returns a query that constructs the spanning tree table.

  20. final def synchronized[T0](arg0: ⇒ T0): T0

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  21. def tableCatalogFor(db: Database, config: MultilensConfig): Operator

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    Return an operator that computes a list of tables.

    Return an operator that computes a list of tables. The operator should have the schema: - TABLE_NAME : TString --- The name of the table

    Definition Classes
    DiscalaAbadiNormalizerMultilens
  22. def toString(): String

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    Definition Classes
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  23. def viewFor(db: Database, config: MultilensConfig, table: String): Option[Operator]

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    Return the view operator for the specified table.

    Return the view operator for the specified table. This operator should have a schema consistent with the best-guess for attrCatalogFor.

    Definition Classes
    DiscalaAbadiNormalizerMultilens
  24. final def wait(): Unit

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    @throws( ... )
  25. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  26. final def wait(arg0: Long): Unit

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Inherited from LazyLogging

Inherited from Logging

Inherited from Multilens

Inherited from AnyRef

Inherited from Any

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