ShapeLuceneRDD

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. lazy val Config: Config

   

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   Configurable

5. val IndexAnalyzerConfigName: Option[String]

   

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   protected

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   AnalyzerConfigurable

6. val QueryAnalyzerConfigName: Option[String]

   

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   protected

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   AnalyzerConfigurable

7. def apply(df: DataFrame, shapeField: String, indexAnalyzer: String, queryAnalyzer: String)(implicit shapeConv: (String) ⇒ Shape, docConverter: (Row) ⇒ Document): ShapeLuceneRDD[String, Row]

   

8. def apply(df: DataFrame, shapeField: String)(implicit shapeConv: (String) ⇒ Shape, docConverter: (Row) ⇒ Document): ShapeLuceneRDD[String, Row]

   

   Instantiate ShapeLuceneRDD from DataFrame with spatial column (shape format)

   Instantiate ShapeLuceneRDD from DataFrame with spatial column (shape format)

   Shape format can be one of ShapeIO.GeoJSON, ShapeIO.LEGACY, ShapeIO.POLY, ShapeIO.WKT

   {{ val countries = spark.read.parquet("data/countries-bbox.parquet") val lucene = ShapeLuceneRDD(counties, "shape")

   }}

   df

   Input dataframe containing Shape as String field named "shapeField"

   shapeField

   Name of DataFrame column that contains Shape as String, i.e., WKT

   shapeConv

   Implicit convertion for spatial / shape

   docConverter

   Implicit conversion for Lucene Document

9. def apply[K, V](elems: Dataset[(K, V)])(implicit arg0: ClassTag[K], arg1: ClassTag[V], shapeConv: (K) ⇒ Shape, docConverter: (V) ⇒ Document): ShapeLuceneRDD[K, V]

   

   Constructor for Dataset

10. def apply[K, V](elems: Dataset[(K, V)], indexAnalyzer: String, queryAnalyzer: String)(implicit arg0: ClassTag[K], arg1: ClassTag[V], shapeConv: (K) ⇒ Shape, docConverter: (V) ⇒ Document): ShapeLuceneRDD[K, V]

    

    Constructor for Dataset

11. def apply[K, V](elems: RDD[(K, V)])(implicit arg0: ClassTag[K], arg1: ClassTag[V], shapeConv: (K) ⇒ Shape, docConverter: (V) ⇒ Document): ShapeLuceneRDD[K, V]

    

12. def apply[K, V](elems: RDD[(K, V)], indexAnalyzer: String, queryAnalyzer: String)(implicit arg0: ClassTag[K], arg1: ClassTag[V], shapeConv: (K) ⇒ Shape, docConverter: (V) ⇒ Document): ShapeLuceneRDD[K, V]

    

    Instantiate a ShapeLuceneRDD given an RDD[T]

    Instantiate a ShapeLuceneRDD given an RDD[T]

    elems

    RDD of type T

13. final def asInstanceOf[T0]: T0

    

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14. def clone(): AnyRef

    

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

    

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16. def equals(arg0: Any): Boolean

    

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17. def finalize(): Unit

    

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18. def getAnalyzer(analyzerName: Option[String]): Analyzer

    

    Attributes

    protected

    Definition Classes

    AnalyzerConfigurable

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

    

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20. def getOrElseEn(analyzerName: Option[String]): String

    

    Get the configured analyzers or fallback to English

    Get the configured analyzers or fallback to English

    Attributes

    protected

    Definition Classes

    AnalyzerConfigurable

21. def hashCode(): Int

    

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22. final def isInstanceOf[T0]: Boolean

    

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

    

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24. final def notify(): Unit

    

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25. final def notifyAll(): Unit

    

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

    

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27. def toString(): String

    

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28. def version(): Map[String, Any]

    

    Return project information, i.e., version number, build time etc

    Return project information, i.e., version number, build time etc

    Definition Classes

    Versionable

29. final def wait(): Unit

    

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

    

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

    

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