IndexJob

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. val esCliConf: Map[String, String]

   

9. val esId: Option[(String, String)]

   

10. val esresource: Some[(String, String)]

    

11. def finalize(): Unit

    

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12. val format: String

    

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

    

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14. def hashCode(): Int

    

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15. final def isInstanceOf[T0]: Boolean

    

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16. val logger: Logger

    

    Attributes

    protected

    Definition Classes

    StrictLogging

17. def name: String

    

    Definition Classes

    IndexJob → SparkJob

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

    

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19. final def notify(): Unit

    

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20. final def notifyAll(): Unit

    

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21. def partitionDataset(dataset: DataFrame, partition: List[String]): DataFrame

    

    Definition Classes

    SparkJob

22. def partitionedDatasetWriter(dataset: DataFrame, partition: List[String]): DataFrameWriter[Row]

    

    Partition a dataset using dataset columns.

    Partition a dataset using dataset columns. To partition the dataset using the igestion time, use the reserved column names :

    • comet_year
    • comet_month
    • comet_day
    • comet_hour
    • comet_minute These columsn are renamed to "year", "month", "day", "hour", "minute" in the dataset and their values is set to the current date/time.

    dataset

    : Input dataset

    partition

    : list of columns to use for partitioning.

    returns

    The Spark session used to run this job

    Definition Classes

    SparkJob

23. val path: Path

    

24. def run(): Try[SparkSession]

    

    Just to force any spark job to implement its entry point using within the "run" method

    Just to force any spark job to implement its entry point using within the "run" method

    returns

    : Spark Session used for the job

    Definition Classes

    IndexJob → SparkJob

25. lazy val session: SparkSession

    

    Definition Classes

    SparkJob

26. implicit val settings: Settings

    

    Definition Classes

    IndexJob → SparkJob

27. lazy val sparkEnv: SparkEnv

    

    Definition Classes

    SparkJob

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

    

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29. def toString(): String

    

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30. final def wait(): Unit

    

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

    

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

    

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