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 fetchMany(ids: NonEmptyList[I]): Query[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.

  2. abstract def fetchOne(id: I): Query[Option[A]]

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

  3. abstract def name: DataSourceName

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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 batchExecution: ExecutionType

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  6. def batchingNotSupported(ids: NonEmptyList[I]): Query[Map[I, A]]

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    Use fetchOne for implementing of fetchMany.

    Use fetchOne for implementing of fetchMany. Use only when the data source doesn't support batching.

  7. def batchingOnly(id: I): Query[Option[A]]

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  8. def clone(): AnyRef

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

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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

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  13. def hashCode(): Int

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  14. def identity(i: I): DataSourceIdentity

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    Derive a DataSourceIdentity from an identity, suitable for storing the result of such identity in a DataSourceCache.

  15. final def isInstanceOf[T0]: Boolean

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  16. def maxBatchSize: Option[Int]

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

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  18. final def notify(): Unit

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  19. final def notifyAll(): Unit

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

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  21. def toString(): String

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  22. final def wait(): Unit

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    @throws( ... )
  23. final def wait(arg0: Long, arg1: Int): Unit

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

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