Point3DRDDFromRDD

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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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   Any

5. var boundary: BoxEnvelope

   

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   Shape3DRDD

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

    

    Definition Classes

    Shape3DRDD

12. def hashCode(): Int

    

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13. final def isInstanceOf[T0]: Boolean

    

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    Any

14. val isSpherical: Boolean

    

    : (Boolean) If true, it assumes that the coordinates of the Point3D are (r, theta, phi).

    : (Boolean) If true, it assumes that the coordinates of the Point3D are (r, theta, phi). Otherwise, it assumes cartesian coordinates (x, y, z).

    Definition Classes

    Point3DRDDFromRDD → Shape3DRDD

15. final def ne(arg0: AnyRef): Boolean

    

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16. final def notify(): Unit

    

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17. final def notifyAll(): Unit

    

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18. def partition(partitioner: SpatialPartitioner)(implicit c: ClassTag[Point3D]): RDD[Point3D]

    

    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].

    Definition Classes

    Shape3DRDD

19. val rawRDD: RDD[Point3D]

    

    RDD containing the initial data formated as T.

    RDD containing the initial data formated as T.

    Definition Classes

    Point3DRDDFromRDD → Shape3DRDD

20. def spatialPartitioning(gridtype: GridType, numPartitions: Int = 1)(implicit c: ClassTag[Point3D]): RDD[Point3D]

    

    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...)

    Definition Classes

    Shape3DRDD

21. def spatialPartitioning(partitioner: SpatialPartitioner)(implicit c: ClassTag[Point3D]): RDD[Point3D]

    

    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...)

    Definition Classes

    Shape3DRDD

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

    

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23. def toString(): String

    

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24. final def wait(): Unit

    

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

    

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

    

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