ESLoadJob

Value Members

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

   

   Definition Classes

   AnyRef → Any

2. final def ##(): Int

   

   Definition Classes

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

   

   Definition Classes

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4. def analyze(fullTableName: String): Any

   

   Attributes

   protected

   Definition Classes

   SparkJob

5. def appendToFile(storageHandler: StorageHandler, dataToSave: DataFrame, path: Path): Unit

   

   Saves a dataset.

   Saves a dataset. If the path is empty (the first time we call metrics on the schema) then we can write.

   If there's already parquet files stored in it, then create a temporary directory to compute on, and flush the path to move updated metrics in it

   dataToSave

   : dataset to be saved

   path

   : Path to save the file at

   Attributes

   protected

   Definition Classes

   SparkJob

6. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

7. def clone(): AnyRef

   

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   protected[java.lang]

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   @throws( ... )

8. def createViews(views: Views, sqlParameters: Map[String, String], activeEnv: Map[String, String]): Unit

   

   Attributes

   protected

   Definition Classes

   SparkJob

9. val dataset: Option[Either[Path, DataFrame]]

   

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

    

    Definition Classes

    AnyRef

11. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

12. val esCliConf: Map[String, String]

    

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

    

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

    

15. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

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    @throws( classOf[java.lang.Throwable] )

16. val format: String

    

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

    

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18. def hashCode(): Int

    

    Definition Classes

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19. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

20. val logger: Logger

    

    Attributes

    protected

    Definition Classes

    StrictLogging

21. def name: String

    

    Definition Classes

    ESLoadJob → JobBase

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

    

    Definition Classes

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23. final def notify(): Unit

    

    Definition Classes

    AnyRef

24. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

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

    

    Attributes

    protected

    Definition Classes

    SparkJob

26. 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 ingestion time, use the reserved column names :

    • comet_date
    • comet_year
    • comet_month
    • comet_day
    • comet_hour
    • comet_minute These columns are renamed to "date", "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

    Attributes

    protected

    Definition Classes

    SparkJob

27. val path: Either[Path, DataFrame]

    

28. def registerUdf(udf: String): Unit

    

    Attributes

    protected

    Definition Classes

    SparkJob

29. def run(): Try[JobResult]

    

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

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

    returns

    : Spark Session used for the job

    Definition Classes

    ESLoadJob → JobBase

30. lazy val session: SparkSession

    

    Definition Classes

    SparkJob

31. implicit val settings: Settings

    

    Definition Classes

    ESLoadJob → JobBase

32. lazy val sparkEnv: SparkEnv

    

    Definition Classes

    SparkJob

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

    

    Definition Classes

    AnyRef

34. def toString(): String

    

    Definition Classes

    AnyRef → Any

35. final def wait(): Unit

    

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    Annotations

    @throws( ... )

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

    

    Definition Classes

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    Annotations

    @throws( ... )

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

    

    Definition Classes

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    Annotations

    @throws( ... )