Class/Object

net.sansa_stack.rdf.spark.io.benchmark.sparkbench

RDFParseWorkload

Related Docs: object RDFParseWorkload | package sparkbench

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case class RDFParseWorkload(input: Option[String], output: Option[String] = None, saveMode: String, numPartitions: Option[Int] = None, mode: Option[String] = None) extends Workload with Product with Serializable

Linear Supertypes
Serializable, Serializable, Product, Equals, Workload, AnyRef, Any
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Inherited
  1. RDFParseWorkload
  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 RDFParseWorkload(input: Option[String], output: Option[String] = None, saveMode: String, numPartitions: Option[Int] = None, mode: Option[String] = None)

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  6. def doWorkload(df: Option[DataFrame], spark: SparkSession): DataFrame

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    Definition Classes
    RDFParseWorkload → Workload

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

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    Definition Classes
    AnyRef

  8. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

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

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    Definition Classes
    AnyRef → Any

  10. val input: Option[String]

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    Definition Classes
    RDFParseWorkload → Workload

  11. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  12. val mode: Option[String]

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

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    Definition Classes
    AnyRef

  14. final def notify(): Unit

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    Definition Classes
    AnyRef

  15. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  16. val numPartitions: Option[Int]

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  17. val output: Option[String]

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    Definition Classes
    RDFParseWorkload → Workload

  18. def parse(spark: SparkSession): (Long, Long)

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  19. def reconcileSchema(dataFrame: DataFrame): DataFrame

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    Definition Classes
    Workload

  20. def run(spark: SparkSession): DataFrame

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    Definition Classes
    Workload

  21. val saveMode: String

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    Definition Classes
    RDFParseWorkload → Workload

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

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    Definition Classes
    AnyRef

  23. def toMap: Map[String, Any]

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    Definition Classes
    Workload

  24. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Workload

Inherited from AnyRef

Inherited from Any

Ungrouped