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org.apache.spark.sql.catalyst.util

QuantileSummaries

Related Docs: class QuantileSummaries | package util

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object QuantileSummaries extends Serializable

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Type Members

  1. case class Stats(value: Double, g: Int, delta: Int) extends Product with Serializable

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    Statistics from the Greenwald-Khanna paper.

    Statistics from the Greenwald-Khanna paper.

    value

    the sampled value

    g

    the minimum rank jump from the previous value's minimum rank

    delta

    the maximum span of the rank.

Value Members

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

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  2. final def ##(): Int

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  6. val defaultCompressThreshold: Int

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    The default value for the compression threshold.

  7. val defaultHeadSize: Int

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    The size of the head buffer.

  8. val defaultRelativeError: Double

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    The default value for the relative error (1%).

    The default value for the relative error (1%). With this value, the best extreme percentiles that can be approximated are 1% and 99%.

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

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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

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  19. def toString(): String

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  20. final def wait(): Unit

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  21. final def wait(arg0: Long, arg1: Int): Unit

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