PartialSumGridRDD

Value Members

1. final def !=(arg0: AnyRef): Boolean

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2. final def !=(arg0: Any): Boolean

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3. final def ##(): Int

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4. final def ==(arg0: AnyRef): Boolean

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5. final def ==(arg0: Any): Boolean

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6. def apply[V](rdd: RDD[((Row, Col), V)], rHeight: Int, cWidth: Int)(implicit arg0: ClassTag[V], m: Monoid[V]): (RDD[((Row, Col), V)], RDD[((Row, Col), V)], Int, Int)

7. def apply[V](rdd: RDD[((Row, Col), V)], partitionDimensionsOpt: Option[(Int, Int)] = None)(implicit arg0: ClassTag[V], m: Monoid[V]): (RDD[((Row, Col), V)], RDD[((Row, Col), V)], Int, Int)

   Given an RDD or grid-mapped values (with keys of the form (row, col)), compute a "partial-sum RDD", where each element's value is replaced with the sum of the values of all elements with keys from higher rows and columns.

   Given an RDD or grid-mapped values (with keys of the form (row, col)), compute a "partial-sum RDD", where each element's value is replaced with the sum of the values of all elements with keys from higher rows and columns.

   V

   value type.

   rdd

   input RDD.

   m

   implicit Monoid exposing "addition" and identity for type V.

   returns

   a tuple consisting of the input RDD partitioned into a grid by its key (row, col) tuples, a "partial-sum" RDD as described above, and the maximum row- and column- values found.

8. final def asInstanceOf[T0]: T0

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9. def clone(): AnyRef

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12. def finalize(): Unit

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17. final def notify(): Unit

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18. final def notifyAll(): Unit

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19. def register(kryo: Kryo): Unit

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

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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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