TypedAggregateAndColumn

Value Members

1. final def !=(arg0: Any): Boolean

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

   AnyRef → Any

3. def *(u: U)(implicit n: CatalystNumeric[U]): TypedColumn[T, U]

   

   Multiplication of this expression a constant.

   Multiplication of this expression a constant.

   // The following multiplies a person's height by their weight.
   people.select( people.col('height) * people.col('weight) )

   apache/spark

   Definition Classes

   TypedColumn

4. def *(u: TypedColumn[T, U])(implicit n: CatalystNumeric[U]): TypedColumn[T, U]

   

   Multiplication of this expression and another expression.

   Multiplication of this expression and another expression.

   // The following multiplies a person's height by their weight.
   people.select( people.col('height) * people.col('weight) )

   apache/spark

   Definition Classes

   TypedColumn

5. def +(u: U)(implicit n: CatalystNumeric[U]): TypedColumn[T, U]

   

   Sum of this expression (column) with a constant.

   Sum of this expression (column) with a constant.

   // The following selects the sum of a person's height and weight.
   people.select( people('height) + 2 )

   u

   a constant of the same type apache/spark

   Definition Classes

   TypedColumn

6. def +(u: TypedColumn[T, U])(implicit n: CatalystNumeric[U]): TypedColumn[T, U]

   

   Sum of this expression and another expression.

   Sum of this expression and another expression.

   // The following selects the sum of a person's height and weight.
   people.select( people.col('height) + people.col('weight) )

   apache/spark

   Definition Classes

   TypedColumn

7. def -(u: U)(implicit n: CatalystNumeric[U]): TypedColumn[T, U]

   

   Subtraction.

   Subtraction. Subtract the other expression from this expression.

   // The following selects the difference between people's height and their weight.
   people.select( people('height) - 1 )

   u

   a constant of the same type apache/spark

   Definition Classes

   TypedColumn

8. def -(u: TypedColumn[T, U])(implicit n: CatalystNumeric[U]): TypedColumn[T, U]

   

   Subtraction.

   Subtraction. Subtract the other expression from this expression.

   // The following selects the difference between people's height and their weight.
   people.select( people.col('height) - people.col('weight) )

   apache/spark

   Definition Classes

   TypedColumn

9. def /(u: U)(implicit n: CatalystNumeric[U]): TypedColumn[T, Double]

   

   Division this expression by another expression.

   Division this expression by another expression.

   // The following divides a person's height by their weight.
   people.select( people('height) / 2 )

   u

   a constant of the same type apache/spark

   Definition Classes

   TypedColumn

10. def /(u: TypedColumn[T, U])(implicit n: CatalystNumeric[U]): TypedColumn[T, Double]

    

    Division this expression by another expression.

    Division this expression by another expression.

    // The following divides a person's height by their weight.
    people.select( people('height) / people('weight) )

    u

    another column of the same type apache/spark

    Definition Classes

    TypedColumn

11. final def ==(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

12. def ===(other: TypedColumn[T, U]): TypedColumn[T, Boolean]

    

    Equality test.

    Equality test.

    df.filter( df.col('a) === df.col('b) )

    apache/spark

    Definition Classes

    TypedColumn

13. def ===(other: U): TypedColumn[T, Boolean]

    

    Equality test.

    Equality test.

    df.filter( df.col('a) === 1 )

    apache/spark

    Definition Classes

    TypedColumn

14. implicit val aencoder: TypedEncoder[A]

    

    Definition Classes

    TypedAggregateAndColumn → TypedAggregate

15. final def asInstanceOf[T0]: T0

    

    Definition Classes

    Any

16. def cast[A](implicit arg0: TypedEncoder[A], c: CatalystCast[U, A]): TypedColumn[T, A]

    

    Casts the column to a different type.

    Casts the column to a different type.

    df.select(df('a).cast[Int])

    Definition Classes

    TypedColumn

17. def clone(): AnyRef

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

18. def divide(u: TypedColumn[T, U])(implicit n: CatalystNumeric[U]): TypedColumn[T, Double]

    

    Division this expression by another expression.

    Division this expression by another expression.

    // The following divides a person's height by their weight.
    people.select( people('height) / people('weight) )

    u

    another column of the same type apache/spark

    Definition Classes

    TypedColumn

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

    

    Definition Classes

    AnyRef

20. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

21. val expr: Expression

    

    Definition Classes

    TypedColumn → UntypedExpression

22. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

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

    

    Definition Classes

    AnyRef → Any

24. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

25. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

26. def minus(u: TypedColumn[T, U])(implicit n: CatalystNumeric[U]): TypedColumn[T, U]

    

    Subtraction.

    Subtraction. Subtract the other expression from this expression.

    // The following selects the difference between people's height and their weight.
    people.select( people.col('height) minus people.col('weight) )

    apache/spark

    Definition Classes

    TypedColumn

27. def multiply(u: TypedColumn[T, U])(implicit n: CatalystNumeric[U]): TypedColumn[T, U]

    

    Multiplication of this expression and another expression.

    Multiplication of this expression and another expression.

    // The following multiplies a person's height by their weight.
    people.select( people.col('height) multiply people.col('weight) )

    apache/spark

    Definition Classes

    TypedColumn

28. final def ne(arg0: AnyRef): Boolean

    

    Definition Classes

    AnyRef

29. final def notify(): Unit

    

    Definition Classes

    AnyRef

30. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

31. def plus(u: TypedColumn[T, U])(implicit n: CatalystNumeric[U]): TypedColumn[T, U]

    

    Sum of this expression and another expression.

    Sum of this expression and another expression.

    // The following selects the sum of a person's height and weight.
    people.select( people.col('height) plus people.col('weight) )

    apache/spark

    Definition Classes

    TypedColumn

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

    

    Definition Classes

    AnyRef

33. def toString(): String

    

    Definition Classes

    AnyRef → Any

34. implicit val uencoder: TypedEncoder[U]

    

    Definition Classes

    TypedColumn

35. def unary_-(implicit n: CatalystNumeric[U]): TypedColumn[T, U]

    

    Unary minus, i.e.

    Unary minus, i.e. negate the expression.

    // Select the amount column and negates all values.
    df.select( -df('amount) )

    apache/spark

    Definition Classes

    TypedColumn

36. def untyped: Column

    

    Fall back to an untyped Column

    Fall back to an untyped Column

    Definition Classes

    TypedColumn

37. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )