Class

org.locationtech.geomesa.geotools.spark

GeoToolsSpatialRDDProvider

Related Doc: package spark

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class GeoToolsSpatialRDDProvider extends SpatialRDDProvider with LazyLogging

Spatial RDD provider for arbitrary geotools data stores. If available, prefer a GeoMesa-specific implementation (e.g. HBaseSpatialRDDProvider), as it will be better optimized.

To avoid being picked up inadvertently, the data store params must include "geotools" -> "true"

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LazyLogging, SpatialRDDProvider, AnyRef, Any
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  1. GeoToolsSpatialRDDProvider
  2. LazyLogging
  3. SpatialRDDProvider
  4. AnyRef
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Instance Constructors

  1. new GeoToolsSpatialRDDProvider()

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Value Members

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

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  5. def canProcess(params: Map[String, _ <: Serializable]): Boolean

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    Definition Classes
    GeoToolsSpatialRDDProvider → SpatialRDDProvider

  6. def clone(): AnyRef

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

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

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    Definition Classes
    AnyRef

  8. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  9. def finalize(): Unit

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

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

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    Definition Classes
    AnyRef → Any

  11. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  12. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  13. lazy val logger: Logger

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    Attributes
    protected
    Definition Classes
    LazyLogging

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

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    Definition Classes
    AnyRef

  15. final def notify(): Unit

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    Definition Classes
    AnyRef

  16. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  17. def rdd(conf: Configuration, sc: SparkContext, params: Map[String, String], query: Query): SpatialRDD

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    Definition Classes
    GeoToolsSpatialRDDProvider → SpatialRDDProvider

  18. def save(rdd: RDD[SimpleFeature], params: Map[String, String], typeName: String): Unit

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    Writes this RDD to a GeoMesa data store.

    Writes this RDD to a GeoMesa data store. The type must exist in the data store, and all of the features in the RDD must be of this type.

    rdd

    features to write

    params

    data store params

    typeName

    simple feature type name

    Definition Classes
    GeoToolsSpatialRDDProvider → SpatialRDDProvider

  19. def sft(params: Map[String, String], typeName: String): Option[SimpleFeatureType]

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    Definition Classes
    SpatialRDDProvider

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

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    Definition Classes
    AnyRef

  21. def toString(): String

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    Definition Classes
    AnyRef → Any

  22. final def wait(): Unit

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    Annotations
    @throws( ... )

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

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    Definition Classes
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    Annotations
    @throws( ... )

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

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    Definition Classes
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    @throws( ... )

Inherited from LazyLogging

Inherited from SpatialRDDProvider

Inherited from AnyRef

Inherited from Any

Ungrouped