Object

com.salesforce.op.utils.spark

RichDataset

Related Doc: package spark

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object RichDataset

Dataset enrichment functions

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  1. implicit class RichDataFrame extends RichDataset

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    A dataframe with three quantifiers: forall, exists, and forNone (see below) the rest of extended functionality comes from RichDataset

  2. implicit class RichDataset extends AnyRef

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Value Members

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

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  2. final def ##(): Int

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

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  4. final def asInstanceOf[T0]: T0

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  5. def clone(): AnyRef

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

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  7. def equals(arg0: Any): Boolean

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  8. def finalize(): Unit

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

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  10. def hashCode(): Int

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  11. final def isInstanceOf[T0]: Boolean

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  12. def loadAvro(path: String)(implicit spark: SparkSession): DataFrame

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    Loads a dataframe from a saved Avro file and dataframe schema file generated by RichDataFrame.saveAvro.

    Loads a dataframe from a saved Avro file and dataframe schema file generated by RichDataFrame.saveAvro. Relies on spark-avro package for Avro file generation, which seems to have a bug/feature that makes all fields nullable when you read them back.

    path

    data path

    returns

    reconstructed dataframe (with all fields marked as nullable)

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

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  14. final def notify(): Unit

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  15. final def notifyAll(): Unit

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

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  17. def toString(): String

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  18. final def wait(): Unit

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

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

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