t

fetch

DataSource

trait DataSource[F[_], I, A] extends AnyRef

A DataSource is the recipe for fetching a certain identity I, which yields results of type A performing an effect of type F[_].

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Abstract Value Members

  1. implicit abstract def CF: Concurrent[F]
  2. abstract def data: Data[I, A]
  3. abstract def fetch(id: I): F[Option[A]]

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

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(ids: NonEmptyList[I]): F[Map[I, A]]

    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
  7. def clone(): AnyRef
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    @throws( ... ) @native()
  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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    @throws( classOf[java.lang.Throwable] )
  11. final def getClass(): Class[_]
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    @native()
  12. def hashCode(): Int
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    @native()
  13. final def isInstanceOf[T0]: Boolean
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  14. def maxBatchSize: Option[Int]
  15. final def ne(arg0: AnyRef): Boolean
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  16. final def notify(): Unit
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    @native()
  17. final def notifyAll(): Unit
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    @native()
  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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    @throws( ... )
  21. final def wait(arg0: Long, arg1: Int): Unit
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    @throws( ... )
  22. final def wait(arg0: Long): Unit
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