Class

com.spark3d.spatial3DRDD

Shape3DRDD

Related Doc: package spatial3DRDD

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abstract class Shape3DRDD[T <: Shape3D] extends Serializable

Class to handle generic 3D RDD. The output type is T which extends the class Shape3D.

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Serializable, Serializable, AnyRef, Any
Known Subclasses
Point3DRDDFromCSV, Point3DRDDFromFITS, Point3DRDDFromRDD, SphereRDDFromCSV, SphereRDDFromFITS, SphereRDDFromRDD
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  1. Shape3DRDD
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Instance Constructors

  1. new Shape3DRDD()

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Abstract Value Members

  1. abstract val isSpherical: Boolean

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  2. abstract val rawRDD: RDD[T]

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    RDD containing the initial data formated as T.

Concrete 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. final def asInstanceOf[T0]: T0

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  5. var boundary: BoxEnvelope

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  6. def clone(): AnyRef

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

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  8. def equals(arg0: Any): Boolean

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  9. def finalize(): Unit

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  10. final def getClass(): Class[_]

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  11. def getDataEnvelope(): BoxEnvelope

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  12. def hashCode(): Int

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  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 partition(partitioner: SpatialPartitioner)(implicit c: ClassTag[T]): RDD[T]

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    Repartion a RDD[T] according to a custom partitioner.

    Repartion a RDD[T] according to a custom partitioner.

    partitioner

    : (SpatialPartitioner) Instance of SpatialPartitioner or any extension of it.

    returns

    (RDD[T]) Repartitioned RDD[T].

  18. def spatialPartitioning(gridtype: GridType, numPartitions: Int = 1)(implicit c: ClassTag[T]): RDD[T]

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    Apply a spatial partitioning to this.rawRDD, and return a RDD[T] with the new partitioning.

    Apply a spatial partitioning to this.rawRDD, and return a RDD[T] with the new partitioning. The list of available partitioning can be found in utils/GridType. By default, the outgoing level of parallelism is the same as the incoming one (i.e. same number of partitions).

    gridtype

    : (GridType) Type of partitioning to apply. See utils/GridType.

    numPartitions

    : (Int) Number of partitions for the partitioned RDD. By default (-1), the number of partitions is that of the raw RDD. You can force it to be different by setting manually this parameter. Be aware of shuffling though...

    returns

    (RDD[T]) RDD whose elements are T (Point3D, Sphere, etc...)

  19. def spatialPartitioning(partitioner: SpatialPartitioner)(implicit c: ClassTag[T]): RDD[T]

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    Apply any Spatial Partitioner to this.rawRDD[T], and return a RDD[T] with the new partitioning.

    Apply any Spatial Partitioner to this.rawRDD[T], and return a RDD[T] with the new partitioning.

    partitioner

    : (SpatialPartitioner) Spatial partitioner as defined in utils.GridType

    returns

    (RDD[T]) RDD whose elements are T (Point3D, Sphere, etc...)

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

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  21. def toString(): String

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  22. final def wait(): Unit

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

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

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