Packages

class LineStringRDD extends SpatialRDD[LineString]

The Class LineStringRDD.

Linear Supertypes
SpatialRDD[LineString], Serializable, AnyRef, Any
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Inherited
  1. LineStringRDD
  2. SpatialRDD
  3. Serializable
  4. AnyRef
  5. Any
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Visibility
  1. Public
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Instance Constructors

  1. new LineStringRDD(sparkContext: JavaSparkContext, InputLocation: String, startOffset: Integer, endOffset: Integer, splitter: FileDataSplitter, carryInputData: Boolean, partitions: Integer)

    Instantiates a new line string RDD.

    Instantiates a new line string RDD.

    sparkContext

    the spark context

    InputLocation

    the input location

    startOffset

    the start offset

    endOffset

    the end offset

    splitter

    the splitter

    carryInputData

    the carry input data

    partitions

    the partitions

  2. new LineStringRDD(sparkContext: JavaSparkContext, InputLocation: String, userSuppliedMapper: FlatMapFunction[_, _])

    Instantiates a new line string RDD.

    Instantiates a new line string RDD.

    sparkContext

    the spark context

    InputLocation

    the input location

    userSuppliedMapper

    the user supplied mapper

  3. new LineStringRDD(sparkContext: JavaSparkContext, InputLocation: String, partitions: Integer, userSuppliedMapper: FlatMapFunction[_, _])

    Instantiates a new line string RDD.

    Instantiates a new line string RDD.

    sparkContext

    the spark context

    InputLocation

    the input location

    partitions

    the partitions

    userSuppliedMapper

    the user supplied mapper

  4. new LineStringRDD(sparkContext: JavaSparkContext, InputLocation: String, splitter: FileDataSplitter, carryInputData: Boolean)

    Instantiates a new line string RDD.

    Instantiates a new line string RDD.

    sparkContext

    the spark context

    InputLocation

    the input location

    splitter

    the splitter

    carryInputData

    the carry input data

  5. new LineStringRDD(sparkContext: JavaSparkContext, InputLocation: String, splitter: FileDataSplitter, carryInputData: Boolean, partitions: Integer)

    Instantiates a new line string RDD.

    Instantiates a new line string RDD.

    sparkContext

    the spark context

    InputLocation

    the input location

    splitter

    the splitter

    carryInputData

    the carry input data

    partitions

    the partitions

  6. new LineStringRDD(sparkContext: JavaSparkContext, InputLocation: String, startOffset: Integer, endOffset: Integer, splitter: FileDataSplitter, carryInputData: Boolean)

    Instantiates a new line string RDD.

    Instantiates a new line string RDD.

    sparkContext

    the spark context

    InputLocation

    the input location

    startOffset

    the start offset

    endOffset

    the end offset

    splitter

    the splitter

    carryInputData

    the carry input data

  7. new LineStringRDD(rawSpatialRDD: JavaRDD[LineString])

    Instantiates a new line string RDD.

    Instantiates a new line string RDD.

    rawSpatialRDD

    the raw spatial RDD

  8. new LineStringRDD()

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. def CRSTransform(sourceEpsgCRSCode: String, targetEpsgCRSCode: String): Boolean

    CRS transform.

    CRS transform.

    sourceEpsgCRSCode

    the source epsg CRS code

    targetEpsgCRSCode

    the target epsg CRS code

    returns

    true, if successful

    Definition Classes
    SpatialRDD
  5. def CRSTransform(sourceEpsgCRSCode: String, targetEpsgCRSCode: String, lenient: Boolean): Boolean

    CRS transform.

    CRS transform.

    sourceEpsgCRSCode

    the source epsg CRS code

    targetEpsgCRSCode

    the target epsg CRS code

    lenient

    consider the difference of the geodetic datum between the two coordinate systems, if true, never throw an exception "Bursa-Wolf Parameters Required", but not recommended for careful analysis work

    returns

    true, if successful

    Definition Classes
    SpatialRDD
  6. def analyze(datasetBoundary: Envelope, approximateTotalCount: Integer): Boolean
    Definition Classes
    SpatialRDD
  7. def analyze(): Boolean

    Analyze.

    Analyze.

    returns

    true, if successful

    Definition Classes
    SpatialRDD
  8. def analyze(newLevel: StorageLevel): Boolean

    Analyze.

    Analyze.

    newLevel

    the new level

    returns

    true, if successful

    Definition Classes
    SpatialRDD
  9. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  10. def buildIndex(indexType: IndexType, buildIndexOnSpatialPartitionedRDD: Boolean): Unit

    Builds the index.

    Builds the index.

    indexType

    the index type

    buildIndexOnSpatialPartitionedRDD

    the build index on spatial partitioned RDD

    Definition Classes
    SpatialRDD
    Exceptions thrown

    Exception the exception

  11. def calc_partitioner(gridType: GridType, numPartitions: Int): Unit

    Spatial partitioning.

    Spatial partitioning.

    gridType

    the grid type

    numPartitions

    the target number of partitions

    Definition Classes
    SpatialRDD
    Exceptions thrown

    Exception the exception

  12. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  13. def coalesceAndBuildRawIndex(indexType: IndexType): STRtree

    Builds the index on coalesced raw spatial RDD.

    Builds the index on coalesced raw spatial RDD.

    indexType

    the index type

    Definition Classes
    SpatialRDD
    Exceptions thrown

    Exception the exception

  14. def countWithoutDuplicates(): Long

    Count without duplicates.

    Count without duplicates.

    returns

    the long

    Definition Classes
    SpatialRDD
  15. def countWithoutDuplicatesSPRDD(): Long

    Count without duplicates SPRDD.

    Count without duplicates SPRDD.

    returns

    the long

    Definition Classes
    SpatialRDD
  16. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  17. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  18. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  19. def flipCoordinates(): Unit
    Definition Classes
    SpatialRDD
  20. def getCRStransformation(): Boolean

    Gets the CR stransformation.

    Gets the CR stransformation.

    returns

    the CR stransformation

    Definition Classes
    SpatialRDD
  21. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  22. def getPartitioner(): SpatialPartitioner
    Definition Classes
    SpatialRDD
  23. def getRawSpatialRDD(): JavaRDD[LineString]

    Gets the raw spatial RDD.

    Gets the raw spatial RDD.

    returns

    the raw spatial RDD

    Definition Classes
    SpatialRDD
  24. def getSampleNumber(): Int
    Definition Classes
    SpatialRDD
  25. def getSourceEpsgCode(): String

    Gets the source epsg code.

    Gets the source epsg code.

    returns

    the source epsg code

    Definition Classes
    SpatialRDD
  26. def getTargetEpgsgCode(): String

    Gets the target epgsg code.

    Gets the target epgsg code.

    returns

    the target epgsg code

    Definition Classes
    SpatialRDD
  27. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  28. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  29. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  30. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  31. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  32. def saveAsGeoJSON(outputLocation: String): Unit

    Save as geo JSON.

    Save as geo JSON.

    outputLocation

    the output location

    Definition Classes
    SpatialRDD
  33. def saveAsWKB(outputLocation: String): Unit

    Save as WKB.

    Save as WKB.

    outputLocation

    the output location

    Definition Classes
    SpatialRDD
  34. def saveAsWKT(outputLocation: String): Unit

    Save as WKT

    Save as WKT

    Definition Classes
    SpatialRDD
  35. def setNeighborSampleNumber(neighborSampleNumber: Int): Unit

    Sets the neighbor sample number.

    Sets the neighbor sample number.

    neighborSampleNumber

    the new neighbor sample number

    Definition Classes
    SpatialRDD
  36. def setRawSpatialRDD(rawSpatialRDD: JavaRDD[LineString]): Unit

    Sets the raw spatial RDD.

    Sets the raw spatial RDD.

    rawSpatialRDD

    the new raw spatial RDD

    Definition Classes
    SpatialRDD
  37. def setSampleNumber(sampleNumber: Int): Unit

    Sets the sample number.

    Sets the sample number.

    sampleNumber

    the new sample number

    Definition Classes
    SpatialRDD
  38. def spatialPartitioning(partitioner: SpatialPartitioner): Unit
    Definition Classes
    SpatialRDD
  39. def spatialPartitioning(gridType: GridType, numPartitions: Int): Unit
    Definition Classes
    SpatialRDD
  40. def spatialPartitioning(gridType: GridType): Boolean
    Definition Classes
    SpatialRDD
  41. def spatialPartitioningWithoutDuplicates(otherGrids: List[Envelope]): Boolean

    Calculate non-duplicate inducing partitioning based on a list of existing envelopes

    Calculate non-duplicate inducing partitioning based on a list of existing envelopes

    This is shorthand for spatialPartitioningWithoutDuplicates(new IndexedGridPartitioner()). Using spatialPartitioningWithoutDuplicates(gridType, numPartitions) is typically more appropriate because it is able to adapt to the content of the partition and is able to produce more consistently balanced partitions.

    Note that non-duplicating partitioners are intended for use by distributed partitioned writers and not able to be used for spatial joins.

    otherGrids

    A list of existing envelopes

    returns

    true on success

    Definition Classes
    SpatialRDD
    Exceptions thrown
  42. def spatialPartitioningWithoutDuplicates(partitioner: SpatialPartitioner): Unit

    Calculate non-duplicate inducing partitioning from an existing SpatialPartitioner

    Calculate non-duplicate inducing partitioning from an existing SpatialPartitioner

    Note that non-duplicating partitioners are intended for use by distributed partitioned writers and not able to be used for spatial joins.

    partitioner

    An existing partitioner obtained from the partitioning of another SpatialRDD.

    Definition Classes
    SpatialRDD
    Exceptions thrown
  43. def spatialPartitioningWithoutDuplicates(gridType: GridType, numPartitions: Int): Unit

    Calculate non-duplicate inducing partitioning

    Calculate non-duplicate inducing partitioning

    Note that non-duplicating partitioners are intended for use by distributed partitioned writers and not able to be used for spatial joins.

    gridType

    The target GridType

    numPartitions

    The target number of partitions

    Definition Classes
    SpatialRDD
    Exceptions thrown
  44. def spatialPartitioningWithoutDuplicates(gridType: GridType): Boolean
    Definition Classes
    SpatialRDD
  45. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  46. def toString(): String
    Definition Classes
    AnyRef → Any
  47. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  48. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  49. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Deprecated Value Members

  1. def MinimumBoundingRectangle(): RectangleRDD

    Minimum bounding rectangle.

    Minimum bounding rectangle.

    returns

    the rectangle RDD

    Definition Classes
    SpatialRDD
    Annotations
    @Deprecated
    Deprecated
  2. def boundary(): Envelope

    Boundary.

    Boundary.

    returns

    the envelope

    Definition Classes
    SpatialRDD
    Deprecated

    Call analyze() instead

  3. def spatialPartitioning(partitionTree: StandardQuadTree[_]): Boolean

    Definition Classes
    SpatialRDD
    Deprecated

    Use spatialPartitioning(SpatialPartitioner partitioner)

  4. def spatialPartitioning(otherGrids: List[Envelope]): Boolean

    Definition Classes
    SpatialRDD
    Deprecated

    Use spatialPartitioning(SpatialPartitioner partitioner)

Inherited from SpatialRDD[LineString]

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped