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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 clone(): AnyRef

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6.  final def eq(arg0: AnyRef): Boolean

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7.  def equals(arg0: AnyRef): Boolean

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8.  def finalize(): Unit

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9.  final def getClass(): Class[_ <: AnyRef]

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10.  def hashCode(): Int

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11.  def hilbert_index(numBits: Int, cols: Column*): Column

    Transforms the provided integer columns into their corresponding position in the hilbert curve for the given dimension.

    Transforms the provided integer columns into their corresponding position in the hilbert curve for the given dimension.

    numBits

    The number of bits to consider in each column.

    cols

    The integer columns to map to the curve.

    See also

    https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=bfd6d94c98627756989b0147a68b7ab1f881a0d6

    https://en.wikipedia.org/wiki/Hilbert_curve

12.  def interleave_bits(cols: Column*): Column

    Interleaves the bits of its input data in a round-robin fashion.

    Interleaves the bits of its input data in a round-robin fashion.

    If the input data is seen as a series of multidimensional points, this function computes the corresponding Z-values, in a way that's preserving data locality: input points that are close in the multidimensional space will be mapped to points that are close on the Z-order curve.

    The returned value is a byte array where the size of the array is 4 * num of input columns.

    Note

    Only supports input expressions of type Int for now.

    See also

    https://en.wikipedia.org/wiki/Z-order_curve

13.  final def isInstanceOf[T0]: Boolean

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14.  final def ne(arg0: AnyRef): Boolean

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15.  final def notify(): Unit

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16.  final def notifyAll(): Unit

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17.  def range_partition_id(col: Column, numPartitions: Int): Column

    Conceptually range-partitions the domain of values of the given column into numPartitions partitions and computes the partition number that every value of that column corresponds to.

    Conceptually range-partitions the domain of values of the given column into numPartitions partitions and computes the partition number that every value of that column corresponds to. One can think of this as an approximate rank() function.

    Ex. For a column with values (0, 1, 3, 15, 36, 99) and numPartitions = 3 returns partition range ids as (0, 0, 1, 1, 2, 2).

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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22.  final def wait(arg0: Long): Unit

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