Class

org.apache.spark.sql.catalyst.catalog

CatalogStatistics

Related Doc: package catalog

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case class CatalogStatistics(sizeInBytes: BigInt, rowCount: Option[BigInt] = None, colStats: Map[String, ColumnStat] = Map.empty) extends Product with Serializable

This class of statistics is used in CatalogTable to interact with metastore. We define this new class instead of directly using Statistics here because there are no concepts of attributes or broadcast hint in catalog.

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Serializable, Serializable, Product, Equals, AnyRef, Any
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  1. CatalogStatistics
  2. Serializable
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Instance Constructors

  1. new CatalogStatistics(sizeInBytes: BigInt, rowCount: Option[BigInt] = None, colStats: Map[String, ColumnStat] = Map.empty)

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  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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    Attributes
    protected[java.lang]
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    @throws( ... )
  6. val colStats: Map[String, ColumnStat]

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

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  8. def finalize(): Unit

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

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  10. final def isInstanceOf[T0]: Boolean

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  11. final def ne(arg0: AnyRef): Boolean

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  12. final def notify(): Unit

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  13. final def notifyAll(): Unit

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  14. val rowCount: Option[BigInt]

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  15. def simpleString: String

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    Readable string representation for the CatalogStatistics.

  16. val sizeInBytes: BigInt

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

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    Definition Classes
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  18. def toPlanStats(planOutput: Seq[Attribute]): Statistics

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    Convert CatalogStatistics to Statistics, and match column stats to attributes based on column names.

  19. final def wait(): Unit

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

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  21. final def wait(arg0: Long): Unit

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Inherited from Serializable

Inherited from Serializable

Inherited from Product

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Inherited from AnyRef

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