Packages

c

net.sansa_stack.rdf.spark.io.benchmark.quad

QuadParsingWorkload

case class QuadParsingWorkload(input: Option[String] = None, output: Option[String] = None, format: String, saveMode: String = SaveModes.error) extends Workload with Product with Serializable

Linear Supertypes
Serializable, Serializable, Product, Equals, Workload, AnyRef, Any
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Inherited
  1. QuadParsingWorkload
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. Workload
  7. AnyRef
  8. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new QuadParsingWorkload(input: Option[String] = None, output: Option[String] = None, format: String, saveMode: String = SaveModes.error)

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. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  6. def doWorkload(df: Option[DataFrame], spark: SparkSession): DataFrame
    Definition Classes
    QuadParsingWorkload → Workload
  7. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  8. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  9. val format: String
  10. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  11. val input: Option[String]
    Definition Classes
    QuadParsingWorkload → Workload
  12. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  13. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  14. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  15. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  16. val output: Option[String]
    Definition Classes
    QuadParsingWorkload → Workload
  17. def reconcileSchema(dataFrame: DataFrame): DataFrame
    Definition Classes
    Workload
  18. def run(spark: SparkSession): DataFrame
    Definition Classes
    Workload
  19. val saveMode: String
    Definition Classes
    QuadParsingWorkload → Workload
  20. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  21. def toMap: Map[String, Any]
    Definition Classes
    Workload
  22. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  23. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  24. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Workload

Inherited from AnyRef

Inherited from Any

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