Object

org.apache.spark.sql.expressions.scalalang

typed

Related Doc: package scalalang

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object typed

:: Experimental :: Type-safe functions available for Dataset operations in Scala.

Java users should use org.apache.spark.sql.expressions.javalang.typed.

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@Experimental() @Evolving()
Source
typed.scala
Since

2.0.0

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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 avg[IN](f: (IN) ⇒ Double): TypedColumn[IN, Double]

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    Average aggregate function.

    Average aggregate function.

    Since

    2.0.0

  6. def clone(): AnyRef

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    protected[java.lang]
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  7. def count[IN](f: (IN) ⇒ Any): TypedColumn[IN, Long]

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    Count aggregate function.

    Count aggregate function.

    Since

    2.0.0

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

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  9. def equals(arg0: Any): Boolean

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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 sum[IN](f: (IN) ⇒ Double): TypedColumn[IN, Double]

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    Sum aggregate function for floating point (double) type.

    Sum aggregate function for floating point (double) type.

    Since

    2.0.0

  18. def sumLong[IN](f: (IN) ⇒ Long): TypedColumn[IN, Long]

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    Sum aggregate function for integral (long, i.e.

    Sum aggregate function for integral (long, i.e. 64 bit integer) type.

    Since

    2.0.0

  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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