Packages

class SparqlFrame extends Transformer

This SparqlFrame Transformer creates a dataframe based on a SPARQL query the resulting columns correspond to projection variables

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Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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  1. SparqlFrame
  2. Transformer
  3. PipelineStage
  4. Logging
  5. Params
  6. Serializable
  7. Serializable
  8. Identifiable
  9. AnyRef
  10. Any
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Instance Constructors

  1. new SparqlFrame()

Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T
    Attributes
    protected
    Definition Classes
    Params
  4. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  5. var _query: String
  6. var _queryExcecutionEngine: query.spark.SPARQLEngine.Value
  7. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  8. final def clear(param: Param[_]): SparqlFrame.this.type
    Definition Classes
    Params
  9. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  10. def copy(extra: ParamMap): Transformer
    Definition Classes
    SparqlFrame → Transformer → PipelineStage → Params
  11. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  12. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  13. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  14. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  15. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  16. def explainParams(): String
    Definition Classes
    Params
  17. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  18. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  19. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  20. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  21. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  22. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  23. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  24. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  25. def getRDFdescription(): Array[Triple]
  26. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  27. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  28. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  29. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  30. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  31. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  32. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  33. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  34. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  35. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  36. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  37. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  38. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  39. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  40. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  41. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  42. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  43. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  44. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  45. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  46. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  47. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  48. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  49. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  50. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  51. final def set(paramPair: ParamPair[_]): SparqlFrame.this.type
    Attributes
    protected
    Definition Classes
    Params
  52. final def set(param: String, value: Any): SparqlFrame.this.type
    Attributes
    protected
    Definition Classes
    Params
  53. final def set[T](param: Param[T], value: T): SparqlFrame.this.type
    Definition Classes
    Params
  54. final def setDefault(paramPairs: ParamPair[_]*): SparqlFrame.this.type
    Attributes
    protected
    Definition Classes
    Params
  55. final def setDefault[T](param: Param[T], value: T): SparqlFrame.this.type
    Attributes
    protected
    Definition Classes
    Params
  56. def setExperimentId(experimentURI: Node): SparqlFrame.this.type
  57. def setQueryExcecutionEngine(queryExcecutionEngine: query.spark.SPARQLEngine.Value): SparqlFrame.this.type

    setter to specify which query execution engine to be used

    setter to specify which query execution engine to be used

    option one is ontop option two sparqlify

    queryExcecutionEngine

    a string either ontop or sparqlify

    returns

    the set transformer

  58. def setSparqlQuery(queryString: String): SparqlFrame.this.type

    setter for query as string

    setter for query as string

    queryString

    a sparql query defining which features you want to have

    returns

    the set transformer

  59. val spark: SparkSession
    Attributes
    protected
  60. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  61. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  62. def transform(dataset: Dataset[_]): DataFrame

    creates a native spark Mllib DataFrame with columns corresponding to the projection variables

    creates a native spark Mllib DataFrame with columns corresponding to the projection variables

    columns are implicitly casted to string or if specified in literals to respective integer ect

    dataset

    the knowledge graph as dataset of jena triple

    returns

    a dataframe with columns corresponding to projection variables

    Definition Classes
    SparqlFrame → Transformer
  63. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  64. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  65. def transformSchema(schema: StructType): StructType
    Definition Classes
    SparqlFrame → PipelineStage
  66. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  67. val uid: String
    Definition Classes
    SparqlFrame → Identifiable
  68. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  69. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  70. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from Transformer

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Ungrouped