Trait

fetch

DataSource

Related Doc: package fetch

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trait DataSource[I, A] extends AnyRef

A DataSource is the recipe for fetching a certain identity I, which yields results of type A.

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Abstract Value Members

  1. abstract def fetch[F[_]](id: I)(implicit arg0: ConcurrentEffect[F], arg1: Par[F]): F[Option[A]]

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    Fetch one identity, returning a None if it wasn't found.

  2. abstract def name: String

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    The name of the data source.

Concrete 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 batch[F[_]](ids: NonEmptyList[I])(implicit arg0: ConcurrentEffect[F], arg1: Par[F]): F[Map[I, A]]

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    Fetch many identities, returning a mapping from identities to results.

    Fetch many identities, returning a mapping from identities to results. If an identity wasn't found, it won't appear in the keys.

  6. def batchExecution: BatchExecution

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  7. def clone(): AnyRef

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  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. def maxBatchSize: Option[Int]

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

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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

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  19. def toString(): String

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  20. final def wait(): Unit

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

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

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