SharedArrayBasedDirectedGraph

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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. def apply(iterable: Iterable[NodeIdEdgesMaxId], storedGraphDir: StoredGraphDir): SharedArrayBasedDirectedGraph

   

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   @VisibleForTesting()

5. def apply(iterableSeq: Seq[Iterable[NodeIdEdgesMaxId]], parallelismLimit: Int, storedGraphDir: StoredGraphDir, numOfShards: Int): SharedArrayBasedDirectedGraph

   

   Construct a shared array-based graph from a sequence of NodeIdEdgesMaxId iterables.

   Construct a shared array-based graph from a sequence of NodeIdEdgesMaxId iterables. Eg each NodeIdEdgesMaxId could correspond to one graph dump file.

   This function builds the graph using similar steps as in ArrayBasedDirectedGraph. The main difference here is that instead of each node has a separate edge array, here one shared array is used, thus each node can find its edges through an offset into this shared array. The avoid huge arrays, this edge array is also sharded based on node's id.

   iterableSeq

   the sequence of nodes each with its own edges

   parallelismLimit

   number of threads construction uses

   storedGraphDir

   the direction of the graph to be built

   numOfShards

   specifies the number of shards to use in creating shared array

6. final def asInstanceOf[T0]: T0

   

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7. def clone(): AnyRef

   

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8. val emptyArray: Array[Int]

   

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

   

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10. def equals(arg0: Any): Boolean

    

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11. def finalize(): Unit

    

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13. def hashCode(): Int

    

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

    

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19. def toString(): String

    

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20. final def wait(): Unit

    

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

    

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

    

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