trait Udf extends AnyRef

Documentation marked "apache/spark" is thanks to apache/spark Contributors at https://github.com/apache/spark, licensed under Apache v2.0 available at http://www.apache.org/licenses/LICENSE-2.0

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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 clone(): AnyRef
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  6. final def eq(arg0: AnyRef): Boolean
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  7. def equals(arg0: AnyRef): Boolean
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  8. def finalize(): Unit
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  9. final def getClass(): Class[_ <: AnyRef]
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  10. def hashCode(): Int
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  11. final def isInstanceOf[T0]: Boolean
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  12. final def ne(arg0: AnyRef): Boolean
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  13. final def notify(): Unit
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  14. final def notifyAll(): Unit
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    @native()
  15. final def synchronized[T0](arg0: => T0): T0
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  16. def toString(): String
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  17. def udf[T, A1, A2, A3, A4, A5, R](f: (A1, A2, A3, A4, A5) => R)(implicit arg0: TypedEncoder[R]): (TypedColumn[T, A1], TypedColumn[T, A2], TypedColumn[T, A3], TypedColumn[T, A4], TypedColumn[T, A5]) => TypedColumn[T, R]

    Defines a user-defined function of 5 arguments as user-defined function (UDF).

    Defines a user-defined function of 5 arguments as user-defined function (UDF). The data types are automatically inferred based on the function's signature.

    apache/spark

  18. def udf[T, A1, A2, A3, A4, R](f: (A1, A2, A3, A4) => R)(implicit arg0: TypedEncoder[R]): (TypedColumn[T, A1], TypedColumn[T, A2], TypedColumn[T, A3], TypedColumn[T, A4]) => TypedColumn[T, R]

    Defines a user-defined function of 4 arguments as user-defined function (UDF).

    Defines a user-defined function of 4 arguments as user-defined function (UDF). The data types are automatically inferred based on the function's signature.

    apache/spark

  19. def udf[T, A1, A2, A3, R](f: (A1, A2, A3) => R)(implicit arg0: TypedEncoder[R]): (TypedColumn[T, A1], TypedColumn[T, A2], TypedColumn[T, A3]) => TypedColumn[T, R]

    Defines a user-defined function of 3 arguments as user-defined function (UDF).

    Defines a user-defined function of 3 arguments as user-defined function (UDF). The data types are automatically inferred based on the function's signature.

    apache/spark

  20. def udf[T, A1, A2, R](f: (A1, A2) => R)(implicit arg0: TypedEncoder[R]): (TypedColumn[T, A1], TypedColumn[T, A2]) => TypedColumn[T, R]

    Defines a user-defined function of 2 arguments as user-defined function (UDF).

    Defines a user-defined function of 2 arguments as user-defined function (UDF). The data types are automatically inferred based on the function's signature.

    apache/spark

  21. def udf[T, A, R](f: (A) => R)(implicit arg0: TypedEncoder[R]): (TypedColumn[T, A]) => TypedColumn[T, R]

    Defines a user-defined function of 1 arguments as user-defined function (UDF).

    Defines a user-defined function of 1 arguments as user-defined function (UDF). The data types are automatically inferred based on the function's signature.

    apache/spark

  22. final def wait(): Unit
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    @throws(classOf[java.lang.InterruptedException])
  23. final def wait(arg0: Long, arg1: Int): Unit
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    @throws(classOf[java.lang.InterruptedException])
  24. final def wait(arg0: Long): Unit
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