class IdColumnMapper extends KuduColumnMapper
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Instance Constructors
- new IdColumnMapper(index: GeoMesaFeatureIndex[_, _])
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def
configurePartitions(): CreateTableOptions
Create initial partitions based on table splitting config
Create initial partitions based on table splitting config
- Definition Classes
- IdColumnMapper → KuduColumnMapper
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def
createKeyValues(value: SingleRowKeyValue[_]): Seq[KuduValue[_]]
Creates key values for insert
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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)
- Definition Classes
- KuduColumnMapper
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val
index: GeoMesaFeatureIndex[_, _]
- Definition Classes
- KuduColumnMapper
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final
def
isInstanceOf[T0]: Boolean
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val
keyColumns: Seq[KuduColumnAdapter[_]]
- Definition Classes
- KuduColumnMapper
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notifyAll(): Unit
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val
schema: KuduSimpleFeatureSchema
- Definition Classes
- KuduColumnMapper
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val
splitters: Map[String, String]
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- KuduColumnMapper
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synchronized[T0](arg0: ⇒ T0): T0
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val
tableSchema: Schema
Table schema, which includes all the primary key columns and the feature type columns
Table schema, which includes all the primary key columns and the feature type columns
- Definition Classes
- KuduColumnMapper
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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
- Definition Classes
- IdColumnMapper → KuduColumnMapper
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def
toString(): String
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