Class

be.dataminded.lighthouse.pipeline.RichSparkFunctions

DatasetSparkFunction

Related Doc: package RichSparkFunctions

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class DatasetSparkFunction[A <: Dataset[_]] extends AnyRef

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Instance Constructors

  1. new DatasetSparkFunction(function: SparkFunction[A])(implicit arg0: ClassTag[A])

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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. def as[T](implicit arg0: Encoder[T]): SparkFunction[Dataset[T]]

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  5. final def asInstanceOf[T0]: T0

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  6. def cache(storageLevel: StorageLevel = StorageLevel.MEMORY_ONLY): SparkFunction[A]

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  7. def clone(): AnyRef

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  8. def count(): SparkFunction[Long]

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  9. def dropCache(): SparkFunction[A]

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

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  11. def equals(arg0: Any): Boolean

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  12. def finalize(): Unit

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  13. final def getClass(): Class[_]

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  14. def hashCode(): Int

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  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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  19. def printSchema(): SparkFunction[A]

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  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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  25. def write(sink: Sink, sinks: Sink*): SparkFunction[A]

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