Trait

org.locationtech.geomesa.spark.jts.encoders

SpatialEncoders

Related Doc: package encoders

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trait SpatialEncoders extends AnyRef

Encoders are Spark SQL's mechanism for converting a JVM type into a Catalyst representation. They are fetched from implicit scope whenever types move beween RDDs and Datasets. Because each of the types supported below has a corresponding UDT, we are able to use a standard Spark Encoder to construct these implicits.

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

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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  12. implicit def jtsGeometryCollectionEncoder: Encoder[GeometryCollection]

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  13. implicit def jtsGeometryEncoder: Encoder[Geometry]

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  14. implicit def jtsLineStringEncoder: Encoder[LineString]

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  15. implicit def jtsMultiLineStringEncoder: Encoder[MultiLineString]

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  16. implicit def jtsMultiPointEncoder: Encoder[MultiPoint]

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  17. implicit def jtsMultiPolygonEncoder: Encoder[MultiPolygon]

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  18. implicit def jtsPointEncoder: Encoder[Point]

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  19. implicit def jtsPolygonEncoder: Encoder[Polygon]

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

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  21. final def notify(): Unit

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  22. final def notifyAll(): Unit

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

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  24. def toString(): String

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  25. final def wait(): Unit

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

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

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