Value Members

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.  def apply[L, R](left: RDD[L], right: RDD[R], pred: (Geometry, Geometry) ⇒ Boolean)(implicit arg0: ClassTag[L], arg1: (L) ⇒ Geometry, arg2: ClassTag[R], arg3: (R) ⇒ Geometry, sc: SparkContext): RDD[(L, R)]

   Perform the vector join operation over an RDD[L] and and RDD[R], where both L and R are viewable as Geometry.

   Perform the vector join operation over an RDD[L] and and RDD[R], where both L and R are viewable as Geometry. This makes use of the FilteredCartesianRDD type to accelerate the process (relative to plain-old CartesianRDD).

   It is assumed that geometries in each partition of left and right RDDs are spatially related, such that each partition in left may have a limited number of potentially intersecting partitions in right.

   left

   An RDD[L], where L is viewable as a Geometry

   right

   An RDD[R], where R is viewable as a Geometry

   pred

   A predicate which answers whether an L and an R should be joined

   returns

   An RDD of L-R pairs

5.  final def asInstanceOf[T0]: T0

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6.  def calculateEnvelope[T](gs: Iterator[T])(implicit arg0: (T) ⇒ Geometry): Iterator[Envelope]

   A function which calculates the envelope of a partition.

   A function which calculates the envelope of a partition.

   gs

   An iterator containing the contents of the RDD

   returns

   An Iterator containing one envelope

7.  def clone(): AnyRef

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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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11.  final def getClass(): Class[_]

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12.  def hashCode(): Int

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    @native()

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.  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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