JdbcLoadJob

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. val conf: Configuration

   

7. val driver: String

   

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

   

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9. def equals(arg0: Any): Boolean

   

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10. def finalize(): Unit

    

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

    

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12. def hashCode(): Int

    

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13. final def isInstanceOf[T0]: Boolean

    

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14. val logger: Logger

    

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    protected

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    StrictLogging

15. def name: String

    

    Definition Classes

    JdbcLoadJob → SparkJob

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

    

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17. final def notify(): Unit

    

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18. final def notifyAll(): Unit

    

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

    

    Definition Classes

    SparkJob

20. 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

21. val password: String

    

22. 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

    JdbcLoadJob → SparkJob

23. def runJDBC(): Try[SparkSession]

    

24. lazy val session: SparkSession

    

    Definition Classes

    SparkJob

25. implicit val settings: Settings

    

    Definition Classes

    JdbcLoadJob → SparkJob

26. lazy val sparkEnv: SparkEnv

    

    Definition Classes

    SparkJob

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

    

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28. def toString(): String

    

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29. val url: String

    

30. val user: String

    

31. final def wait(): Unit

    

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

    

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

    

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