ca.shiftfocus.lib.concurrent

Serialized

Related Doc: package concurrent

trait Serialized extends AnyRef

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

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  2. final def ##(): Int

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  4. final def asInstanceOf[T0]: T0

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  8. def finalize(): Unit

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

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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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  15. def serialized[E, R, L[E] <: IndexedSeq[E]](collection: L[E])(fn: (E) ⇒ Future[R])(implicit ec: ExecutionContext): Future[IndexedSeq[R]]

    Given a collection, and some function to map over the collection whose result type is a future disjunction, this function runs the given function over the collection sequentially.

    Given a collection, and some function to map over the collection whose result type is a future disjunction, this function runs the given function over the collection sequentially. Use this when you would have a list of Futures that cannot be run in parallel, for example if they will all run on the same database connection.

    val fooList: IndexedSeq[Foo] = Vector(foo1, foo2, foo3)
    def barFunc(foo: Foo): Future[Bar]
    
    // The resultant list will be generated sequentially with no parallel operations
    val futureBarList: Future[IndexedSeq[Bar]] = serializedT(fooList)(barFunc)
    E
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  16. final def synchronized[T0](arg0: ⇒ T0): T0

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  17. def toString(): String

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  18. final def wait(): Unit

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

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

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