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trait GpuPartitioning extends Partitioning

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Abstract Value Members

  1. abstract val numPartitions: Int
    Definition Classes
    Partitioning

Concrete Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
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  2. final def ##(): Int
    Definition Classes
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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. def clone(): AnyRef
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    protected[lang]
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    @throws( ... ) @native()
  6. final def columnarEval(batch: ColumnarBatch): GpuColumnVector
  7. def compressSplits(outputBatches: ArrayBuffer[ColumnarBatch], codec: TableCompressionCodec, contiguousTables: Array[ContiguousTable]): Unit

    Compress contiguous tables representing the splits into compressed columnar batches.

    Compress contiguous tables representing the splits into compressed columnar batches. Contiguous tables corresponding to splits with no data will not be compressed.

    outputBatches

    where to collect the corresponding columnar batches for the splits

    codec

    compression codec to use

    contiguousTables

    contiguous tables to compress

  8. final def eq(arg0: AnyRef): Boolean
    Definition Classes
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  9. def equals(arg0: Any): Boolean
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  10. def finalize(): Unit
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    @throws( classOf[java.lang.Throwable] )
  11. final def getClass(): Class[_]
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    @native()
  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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    @native()
  16. final def notifyAll(): Unit
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    @native()
  17. final def satisfies(required: Distribution): Boolean
    Definition Classes
    Partitioning
  18. def satisfies0(required: Distribution): Boolean
    Attributes
    protected
    Definition Classes
    Partitioning
  19. def sliceBatch(vectors: Array[RapidsHostColumnVector], start: Int, end: Int): ColumnarBatch
  20. def sliceInternalGpuOrCpuAndClose(numRows: Int, partitionIndexes: Array[Int], partitionColumns: Array[GpuColumnVector]): Array[(ColumnarBatch, Int)]
  21. def sliceInternalOnCpuAndClose(numRows: Int, partitionIndexes: Array[Int], partitionColumns: Array[GpuColumnVector]): Array[(ColumnarBatch, Int)]
  22. def sliceInternalOnGpuAndClose(numRows: Int, partitionIndexes: Array[Int], partitionColumns: Array[GpuColumnVector]): Array[ColumnarBatch]
  23. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
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  24. def toString(): String
    Definition Classes
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  25. def usesGPUShuffle: Boolean
  26. def usesMultiThreadedShuffle: Boolean
  27. final def wait(): Unit
    Definition Classes
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    @throws( ... )
  28. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
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    @throws( ... )
  29. final def wait(arg0: Long): Unit
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    @throws( ... ) @native()

Inherited from Partitioning

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