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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 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

12.  final def isInstanceOf[T0]: Boolean

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

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14.  final def notify(): Unit

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15.  final def notifyAll(): Unit

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16.  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).

17.  final def synchronized[T0](arg0: => T0): T0

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18.  def toString(): String

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19.  final def wait(): Unit

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

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

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