Value Members

1.  final def !=(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

2.  final def ##(): Int

   Definition Classes

   AnyRef → Any

3.  final def ==(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

4.  def analyze(fullTableName: String): Any

   Attributes

   protected

   Definition Classes

   SparkJob

5.  final def asInstanceOf[T0]: T0

   Definition Classes

   Any

6.  def clone(): AnyRef

   Attributes

   protected[lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... ) @native()

7.  def createSparkViews(views: Views, sqlParameters: Map[String, String]): Unit

   Attributes

   protected

   Definition Classes

   SparkJob

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

   Definition Classes

   AnyRef

9.  def equals(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

10.  def finalize(): Unit

    Attributes

    protected[lang]

    Definition Classes

    AnyRef

    Annotations

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

11.  final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

12.  def hashCode(): Int

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

13.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

14.  def lockPath(path: String): Path
15.  val logger: Logger

    Attributes

    protected

    Definition Classes

    StrictLogging

16.  def metricsPath(path: String): Path

    Function to build the metrics save path

    Function to build the metrics save path

    path

    : path where metrics are stored

    returns

    : path where the metrics for the specified schema are stored

17.  def name: String

    Definition Classes

    MetricsJob → JobBase

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

    Definition Classes

    AnyRef

19.  final def notify(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

20.  final def notifyAll(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

21.  def parseViewDefinition(valueWithEnv: String): (SinkType, Option[JdbcConfigName], String)
    valueWithEnv

    in the form [SinkType:[configName:]]viewName

    returns

    (SinkType, configName, viewName)

    Attributes

    protected

    Definition Classes

    JobBase

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

    Attributes

    protected

    Definition Classes

    SparkJob

23.  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

24.  def registerUdf(udf: String): Unit

    Attributes

    protected

    Definition Classes

    SparkJob

25.  def run(dataUse: DataFrame, timestamp: Timestamp): Try[SparkJobResult]
26.  def run(): Try[JobResult]

    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

    MetricsJob → JobBase

27.  lazy val session: SparkSession

    Definition Classes

    SparkJob

28.  implicit val settings: Settings

    Definition Classes

    MetricsJob → JobBase

29.  lazy val sparkEnv: SparkEnv

    Definition Classes

    SparkJob

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

    Definition Classes

    AnyRef

31.  def toString(): String

    Definition Classes

    AnyRef → Any

32.  def unionDisContMetric(discreteDataset: Option[DataFrame], continuousDataset: Option[DataFrame], domain: Domain, schema: Schema, count: Long, ingestionTime: Timestamp, stageState: Stage): MetricsDatasets

    Function Function that unifies discrete and continuous metrics dataframe, then write save the result to parquet

    Function Function that unifies discrete and continuous metrics dataframe, then write save the result to parquet

    discreteDataset

    : dataframe that contains all the discrete metrics

    continuousDataset

    : dataframe that contains all the continuous metrics

    domain

    : name of the domain

    schema

    : schema of the initial data

    ingestionTime

    : time which correspond to the ingestion

    stageState

    : stage (unit / global)

33.  final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

35.  final def wait(arg0: Long): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... ) @native()