Packages

case class SQLWorkload(input: Option[String], output: Option[String] = None, saveMode: String, queryStr: String, cache: Boolean, numPartitions: Option[Int] = None) extends Workload with Product with Serializable

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

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. val cache: Boolean
  6. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  7. def doWorkload(df: Option[DataFrame] = None, spark: SparkSession): DataFrame

    Actually run the workload.

    Actually run the workload. Takes an optional DataFrame as input if the user supplies an inputDir, and returns the generated results DataFrame.

    Definition Classes
    SQLWorkload → Workload
  8. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  9. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  10. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  11. val input: Option[String]
    Definition Classes
    SQLWorkload → Workload
  12. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  13. def loadFromDisk(spark: SparkSession): (Long, DataFrame)
  14. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  15. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  16. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  17. val numPartitions: Option[Int]
  18. val output: Option[String]
    Definition Classes
    SQLWorkload → Workload
  19. def query(df: DataFrame, spark: SparkSession): (Long, DataFrame)
  20. val queryStr: String
  21. def reconcileSchema(dataFrame: DataFrame): DataFrame

    Validate that the data set has a correct schema and fix if necessary.

    Validate that the data set has a correct schema and fix if necessary. This is to solve issues such as the KMeans load-from-disk pathway returning a DataFrame with all the rows as StringType instead of DoubleType.

    Definition Classes
    Workload
  22. def run(spark: SparkSession): DataFrame
    Definition Classes
    Workload
  23. def save(res: DataFrame, where: String, spark: SparkSession): (Long, Unit)
  24. val saveMode: String
    Definition Classes
    SQLWorkload → Workload
  25. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  26. def toMap: Map[String, Any]
    Definition Classes
    Workload
  27. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  28. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  29. 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

Ungrouped