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com.nvidia.spark.rapids

GpuExpressionsUtils

object GpuExpressionsUtils

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Type Members

  1. class NullVecCache extends LinkedHashMap[NullVecKey, GpuColumnVector]
  2. case class NullVecKey(d: DataType, n: Int) extends Product with Serializable

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. val cachedNullVectors: ThreadLocal[NullVecCache]
  6. def clone(): AnyRef
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    @throws( ... ) @native()
  7. def collectRetryables(expressions: Seq[Expression]): Seq[Retryable]

    Collect the Retryables from a Seq of expression.

  8. final def eq(arg0: AnyRef): Boolean
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  9. def equals(arg0: Any): Boolean
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  10. def extractGpuLit(exp: Expression): Option[GpuLiteral]

    Extract the GpuLiteral

    Extract the GpuLiteral

    exp

    the input expression to be extracted

    returns

    an optional GpuLiteral

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    @tailrec()
  11. def finalize(): Unit
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    @throws( classOf[java.lang.Throwable] )
  12. final def getClass(): Class[_]
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    @native()
  13. def getTrimString(trimStr: Option[Expression]): String
  14. def hashCode(): Int
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    @native()
  15. final def isInstanceOf[T0]: Boolean
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  16. final def ne(arg0: AnyRef): Boolean
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  17. final def notify(): Unit
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  18. final def notifyAll(): Unit
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    @native()
  19. def resolveColumnVector(any: Any, numRows: Int): GpuColumnVector

    Tries to resolve a GpuColumnVector from a Scala Any.

    Tries to resolve a GpuColumnVector from a Scala Any.

    This is a common handling of the result from the columnarEval, allowing one of

    • A GpuColumnVector
    • A GpuScalar For other types, it will blow up.

    It is recommended to return only a GpuScalar or a GpuColumnVector from a GPU expression's columnarEval, to keep the result handling simple. Besides, GpuScalar can be created from a cudf Scalar or a Scala value, So the 'GpuScalar' and 'GpuColumnVector' should cover all the cases for GPU pipelines.

    any

    the input value. It will be closed if it is a closeable after the call done.

    numRows

    the expected row number of the output column, used when 'any' is a GpuScalar.

    returns

    a GpuColumnVector if it succeeds. Users should close the column vector to avoid memory leak.

  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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