SparkUtils

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. final def asInstanceOf[T0]: T0

   

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5. def clone(): AnyRef

   

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6. def createFeatureType(name: String, struct: StructType): SimpleFeatureType

   

7. def createStructType(sft: SimpleFeatureType): StructType

   

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

   

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9. def equals(arg0: Any): Boolean

   

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10. val ff: FilterFactory2

    

11. def finalize(): Unit

    

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

    

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13. def getExtractors(requiredColumns: Array[String], schema: StructType): Array[(SimpleFeature) ⇒ AnyRef]

    

14. def hashCode(): Int

    

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15. final def isInstanceOf[T0]: Boolean

    

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16. def joinedSf2row(schema: StructType, sf1: SimpleFeature, sf2: SimpleFeature, extractors: Array[(SimpleFeature) ⇒ AnyRef]): Row

    

17. lazy val logger: Logger

    

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

    

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19. final def notify(): Unit

    

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20. final def notifyAll(): Unit

    

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21. def rowsToFeatures(name: String, schema: StructType): SimpleFeatureRowMapping

    

    Creates a function to convert a row to a simple feature, which will be based on the columns in the row schema.

    Creates a function to convert a row to a simple feature, which will be based on the columns in the row schema.

    If the row has a fid column, it will be used for the feature id. Otherwise, it will use a random id prefixed with the current time

    name

    simple feature type name to use

    schema

    row schema

22. def rowsToFeatures(sft: SimpleFeatureType, schema: StructType): SimpleFeatureRowMapping

    

    Creates a function to convert a row to a simple feature.

    Creates a function to convert a row to a simple feature. Columns will be mapped to attributes based on matching names.

    If the row has a fid column, it will be used for the feature id. Otherwise, it will use a random id prefixed with the current time

    sft

    simple feature type

    schema

    dataframe schema

23. def sf2row(schema: StructType, sf: SimpleFeature, extractors: Array[(SimpleFeature) ⇒ AnyRef]): Row

    

24. def sparkFilterToCQLFilter(filt: Filter): Option[Filter]

    

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

    

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26. def toString(): String

    

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27. final def wait(): Unit

    

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

    

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

    

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