Object/Class

org.locationtech.geomesa.spark

GeoMesaRelation

Related Docs: class GeoMesaRelation | package spark

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object GeoMesaRelation extends LazyLogging with Serializable

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Serializable, Serializable, LazyLogging, AnyRef, Any
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  1. GeoMesaRelation
  2. Serializable
  3. Serializable
  4. LazyLogging
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Type Members

  1. sealed trait CachedRDD extends AnyRef

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    Trait for cached RDDs used to accelerate scans

  2. case class IndexedRDD(rdd: RDD[GeoCQEngineDataStore]) extends CachedRDD with Product with Serializable

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    An RDD where each element is a spatial index containing multiple features

    An RDD where each element is a spatial index containing multiple features

    rdd

    indexed features

  3. case class PartitionedIndexedRDD(rdd: RDD[(Int, GeoCQEngineDataStore)], envelopes: List[Envelope]) extends CachedRDD with Product with Serializable

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    An RDD where each element is a spatial index containing multiple features, partitioned by a spatial grid

    An RDD where each element is a spatial index containing multiple features, partitioned by a spatial grid

    rdd

    grid cell -> indexed features

    envelopes

    envelopes corresponding the each grid cell

  4. case class PartitionedRDD(rdd: RDD[(Int, Iterable[SimpleFeature])], raw: SpatialRDD, envelopes: List[Envelope], partitions: Option[Int], cover: Boolean) extends Product with Serializable

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    Holder for a partitioning scheme

    Holder for a partitioning scheme

    rdd

    partitioned rdd

    raw

    underlying unpartitioned rdd

    envelopes

    envelopes used in partitioning

    partitions

    hint for number of partitions

    cover

    cover partitions or not when joining

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. def apply(sqlContext: SQLContext, params: Map[String, String], schema: StructType, sft: SimpleFeatureType): GeoMesaRelation

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    Create a new relation based on the input parameters, with the given schema and underlying feature type

    Create a new relation based on the input parameters, with the given schema and underlying feature type

    sqlContext

    sql context

    params

    parameters

    schema

    schema

    sft

    simple feature type

  5. def apply(sqlContext: SQLContext, params: Map[String, String], schema: StructType): GeoMesaRelation

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    Create a new relation based on the input parameters, with the given schema

    Create a new relation based on the input parameters, with the given schema

    sqlContext

    sql context

    params

    parameters

    schema

    schema

  6. def apply(sqlContext: SQLContext, params: Map[String, String]): GeoMesaRelation

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    Create a new relation based on the input parameters

    Create a new relation based on the input parameters

    sqlContext

    sql context

    params

    parameters

  7. final def asInstanceOf[T0]: T0

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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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    @throws( classOf[java.lang.Throwable] )
  12. final def getClass(): Class[_]

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  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

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  15. lazy val logger: Logger

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    protected
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  16. final def ne(arg0: AnyRef): Boolean

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  17. final def notify(): Unit

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  18. final def notifyAll(): Unit

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

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  20. def toString(): String

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  21. final def wait(): Unit

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

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

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    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from LazyLogging

Inherited from AnyRef

Inherited from Any

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