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abstract class KuduColumnMapper extends AnyRef

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Instance Constructors

  1. new KuduColumnMapper(index: GeoMesaFeatureIndex[_, _], keyColumns: Seq[KuduColumnAdapter[_]])

    index

    feature index

    keyColumns

    columns that are part of the primary key, used for range planning

Abstract Value Members

  1. abstract def configurePartitions(): CreateTableOptions

    Create initial partitions based on table splitting config

  2. abstract def createKeyValues(value: SingleRowKeyValue[_]): Seq[KuduValue[_]]

    Creates key values for insert

    Creates key values for insert

    value

    index key

  3. abstract def toRowRanges(ranges: Seq[ScanRange[_]], tieredKeyRanges: Seq[ByteRange]): Seq[(Option[PartialRow], Option[PartialRow])]

    Turns scan ranges into kudu ranges

    Turns scan ranges into kudu ranges

    ranges

    scan ranges

    tieredKeyRanges

    tiered ranges

Concrete Value Members

  1. final def !=(arg0: Any): Boolean
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  2. final def ##(): Int
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  6. def createPartition(table: KuduTable, bin: Short): Option[Partitioning]

    Creates a new ranges partition that will cover the time period.

    Creates a new ranges partition that will cover the time period. Only implemented by indices with a leading time period, as otherwise we have to partition up front. Kudu only supports adding new range partitions that don't overlap any existing partitions - you can't modify or split existing partitions

    table

    kudu table

    bin

    time period being covered (e.g. week)

  7. final def eq(arg0: AnyRef): Boolean
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  8. def equals(arg0: Any): Boolean
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  9. def finalize(): Unit
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  11. def hashCode(): Int
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  12. val index: GeoMesaFeatureIndex[_, _]
  13. final def isInstanceOf[T0]: Boolean
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  14. val keyColumns: Seq[KuduColumnAdapter[_]]
  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. val schema: KuduSimpleFeatureSchema
  19. val splitters: Map[String, String]
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  20. final def synchronized[T0](arg0: ⇒ T0): T0
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  21. val tableSchema: Schema

    Table schema, which includes all the primary key columns and the feature type columns

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