Class/Object

com.github.timgent.dataflare.repository

ElasticSearchMetricsPersister

Related Docs: object ElasticSearchMetricsPersister | package repository

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class ElasticSearchMetricsPersister extends MetricsPersister

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MetricsPersister, AnyRef, Any
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  1. ElasticSearchMetricsPersister
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Instance Constructors

  1. new ElasticSearchMetricsPersister(client: ElasticClient, index: Index)(implicit ec: ExecutionContext)

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    client

    elastic4s ElasticSearch client

    index

    the name of the index to save metrics to

    ec

    the execution context

Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    AnyRef → Any

  3. final def ==(arg0: Any): Boolean

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
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    Annotations
    @throws( ... )

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

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    Definition Classes
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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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    Attributes
    protected[java.lang]
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    Annotations
    @throws( classOf[java.lang.Throwable] )

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

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    Definition Classes
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  10. def hashCode(): Int

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    Definition Classes
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  11. final def isInstanceOf[T0]: Boolean

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    Definition Classes
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  12. def loadAll: Future[Map[Instant, Map[SingleDsDescription, Map[SimpleMetricDescriptor, MetricValue]]]]

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    Loads all metrics in the repository

    Loads all metrics in the repository

    returns

    Future of a map with timestamps to metrics

    Definition Classes
    ElasticSearchMetricsPersister → MetricsPersister

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

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    Definition Classes
    AnyRef

  14. final def notify(): Unit

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    Definition Classes
    AnyRef

  15. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  16. def save(timestamp: Instant, metrics: Map[SingleDsDescription, Map[SimpleMetricDescriptor, MetricValue]]): Future[Map[SingleDsDescription, Map[SimpleMetricDescriptor, MetricValue]]]

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    Save the given metrics to some storage layer depending on implementation chosen

    Save the given metrics to some storage layer depending on implementation chosen

    timestamp

    - the timestamp to associate the metrics to

    metrics

    - a map with an entry for each dataset. An inner map for each type of metric for that dataset.

    returns

    returns a future of the passed metrics

    Definition Classes
    ElasticSearchMetricsPersister → MetricsPersister

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

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    Definition Classes
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  18. def toString(): String

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  19. final def wait(): Unit

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    @throws( ... )

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

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    @throws( ... )

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

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Inherited from MetricsPersister

Inherited from AnyRef

Inherited from Any

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