Stream

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. final def asInstanceOf[T0]: T0

   

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5. def clone(): AnyRef

   

   Attributes

   protected[java.lang]

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   @throws( ... )

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

   

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7. def equals(arg0: Any): Boolean

   

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8. def filter(fun: (T) ⇒ Boolean, description: String = null): Stream[T]

   

   reserve records when fun(T) == true

   reserve records when fun(T) == true

   fun

   the filter

   returns

   a new stream after filter

9. def finalize(): Unit

   

   Attributes

   protected[java.lang]

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

10. def flatMap[R](fun: (T) ⇒ TraversableOnce[R], description: String = null)(implicit arg0: ClassTag[R]): Stream[R]

    

    convert a value[T] to a list of value[R]

    convert a value[T] to a list of value[R]

    fun

    function

    description

    the description message for this operation

    returns

    a new stream with type [R]

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

    

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12. def groupBy[Group](fun: (T) ⇒ Group, parallelism: Int = 1, description: String = null): Stream[T]

    

    Group by fun(T)

    Group by fun(T)

    For example, we have T type, People(name: String, gender: String, age: Int) groupBy[People](_.gender) will group the people by gender.

    You can append other combinators after groupBy

    For example,

    Stream[People].groupBy(_.gender).flatmap(..).filter.(..).reduce(..)

    fun

    group by function

    parallelism

    parallelism level

    description

    the description

    returns

    the grouped stream

13. def hashCode(): Int

    

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14. final def isInstanceOf[T0]: Boolean

    

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15. def log(): Unit

    

    Log to task log file

16. def map[R](fun: (T) ⇒ R, description: String = null)(implicit arg0: ClassTag[R]): Stream[R]

    

    convert value[T] to value[R]

    convert value[T] to value[R]

    fun

    function

    returns

    a new stream with type [R]

17. def merge(other: Stream[T], description: String = null): Stream[T]

    

    Merge data from two stream into one

    Merge data from two stream into one

    other

    the other stream

    returns

    the merged stream

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

    

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19. final def notify(): Unit

    

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20. final def notifyAll(): Unit

    

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21. def process[R](processor: Class[_ <: Task], parallelism: Int, description: String = null)(implicit arg0: ClassTag[R]): Stream[R]

    

    connect with a low level Processor(TaskDescription)

    connect with a low level Processor(TaskDescription)

    processor

    a user defined processor

    parallelism

    parallelism level

    returns

    new stream after processing with type [R]

22. def reduce(fun: (T, T) ⇒ T, description: String = null): Stream[T]

    

    Reduce opeartion

    Reduce opeartion

    fun

    reduction function

    description

    description message for this operator

    returns

    a new stream after reduction

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

    

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24. def toString(): String

    

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25. final def wait(): Unit

    

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    Annotations

    @throws( ... )

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

    

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    @throws( ... )

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

    

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    @throws( ... )