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org.emmalanguage.api.spark

SparkNtv

Related Doc: package spark

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object SparkNtv

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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. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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  6. implicit def encoderForType[T](implicit arg0: Meta[T]): Encoder[T]

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

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  8. def equals(arg0: Any): Boolean

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  9. def equiJoin[A, B, K](kx: (String) ⇒ Seq[Column], ky: (String) ⇒ Seq[Column])(xs: DataBag[A], ys: DataBag[B])(implicit arg0: Meta[A], arg1: Meta[B], arg2: Meta[K], s: SparkSession): DataBag[(A, B)]

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  10. def finalize(): Unit

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

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  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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  16. final def notifyAll(): Unit

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  17. def project[A, B](f: (String) ⇒ Seq[Column])(xs: DataBag[A])(implicit arg0: Meta[A], arg1: Meta[B], s: SparkSession): DataBag[B]

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  18. def select[A](p: (String) ⇒ Seq[Column])(xs: DataBag[A])(implicit arg0: Meta[A], s: SparkSession): DataBag[A]

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

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  20. def toString(): String

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  21. final def wait(): Unit

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

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

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