GenerateDataset

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

   

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2. final def ##(): Int

   

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5. def clone(): AnyRef

   

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6. lazy val dataTypeToOptions: Map[DataOptions.DataOptions, DataType]

   

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10. def generateDataset(sparkSession: SparkSession, datasetGenerationConstraints: HasDatasetGenerationConstraints, seed: Long): DataFrame

    

    Generates a random Spark DataFrame given a set of dataset generation constraints.

    Generates a random Spark DataFrame given a set of dataset generation constraints.

    sparkSession

    The spark session.

    datasetGenerationConstraints

    The dataset generation constraints to use.

    seed

    The random seed.

    returns

    A randomly generated dataset.

11. def generateDatasetFromOptions(sparkSession: SparkSession, indexToOptions: Map[Int, DatasetOptions], datasetGenerationConstraints: HasDatasetGenerationConstraints, seed: Long): DataFrame

    

    Generates a random Spark DataFrame given a map of index to DataGenerationOptions.

    Generates a random Spark DataFrame given a map of index to DataGenerationOptions.

    sparkSession

    The spark session.

    indexToOptions

    The map of indexes to DataGenerationOptions.

    datasetGenerationConstraints

    The constraints for generating the dataset.

    seed

    The random seed.

    returns

    The randomly generated dataset.

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

    

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13. def getOptionsFromSchema(schema: StructType): Map[Int, DatasetOptions]

    

14. def hashCode(): Int

    

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19. lazy val optionsToDataType: Map[DataType, DataOptions.DataOptions]

    

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

    

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