Class

models.services

ESTimelineService

Related Doc: package services

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class ESTimelineService extends TimelineService

Implementation of models.services.TimelineService using an elasticsearch index as backend.

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Instance Constructors

  1. new ESTimelineService(clientService: SearchClientService, dateUtils: DateUtils, utils: ESRequestUtils)

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    clientService

    the elasticsearch client.

    dateUtils

    common heper for date and time operations.

    utils

    common helper to issue elasticsearch queries.

    Annotations
    @Inject()

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 clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )
  6. def createTimeExpressionTimeline(facets: Facets, levelOfDetail: LoD.Value)(index: String): Aggregation

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    Creates a timeline mapping from dates to the number of documents per date based on time expression that occur in the document content.

    Creates a timeline mapping from dates to the number of documents per date based on time expression that occur in the document content.

    facets

    the search query.

    levelOfDetail

    the timeline level.

    index

    the data source index or database name to query.

    returns

    an instance of models.Aggregation consisting of models.MetaDataBucket, each representing a time unit with the number of documents for this unit.

    Definition Classes
    ESTimelineServiceTimelineService
  7. def createTimeline(facets: Facets, levelOfDetail: LoD.Value)(index: String): Aggregation

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    Creates a timeline mapping from dates to the number of documents per date based on the document creation date.

    Creates a timeline mapping from dates to the number of documents per date based on the document creation date.

    The timeline supports different drill-down steps called "level of detail (lod)". In the most coarse grained level the result maps from grouped decades to number of documents that fall in the decade i.e. 1990-1999: 10 docs, 2000-2009: 20 docs, etc.

    Similar, the most fine grained level maps from days of a month to the number of documents that fall in a certain day.

    facets

    the search query.

    levelOfDetail

    the timeline level.

    index

    the data source index or database name to query.

    returns

    an instance of models.Aggregation consisting of models.MetaDataBucket, each representing a time unit with the number of documents for this unit.

    Definition Classes
    ESTimelineServiceTimelineService
  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. final def ne(arg0: AnyRef): Boolean

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  15. final def notify(): Unit

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  16. final def notifyAll(): Unit

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

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  18. def toString(): String

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  19. final def wait(): Unit

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

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

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Inherited from TimelineService

Inherited from AnyRef

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