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.  def applyTableIamPolicy(tableId: TableId, rls: RowLevelSecurity): Policy

   To set access control on a table or view, we can use Identity and Access Management (IAM) policy After you create a table or view, you can set its policy with a set-iam-policy call For each call, we compare if the existing policy is equal to the defined one (in the Yaml file) If it's the case, we do nothing, otherwise we update the Table policy

   To set access control on a table or view, we can use Identity and Access Management (IAM) policy After you create a table or view, you can set its policy with a set-iam-policy call For each call, we compare if the existing policy is equal to the defined one (in the Yaml file) If it's the case, we do nothing, otherwise we update the Table policy

   Definition Classes

   BigQueryJobBase

6.  final def asInstanceOf[T0]: T0

   Definition Classes

   Any

7.  val bigquery: BigQuery

   Definition Classes

   BigQueryJobBase

8.  val bqTable: String

   Definition Classes

   BigQueryJobBase

9.  val bucket: String
10.  val cliConfig: BigQueryLoadConfig

    Definition Classes

    BigQuerySparkJob → BigQueryJobBase

11.  def clone(): AnyRef

    Attributes

    protected[lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... ) @native()

12.  val conf: Configuration
13.  def createSparkViews(views: Views, sqlParameters: Map[String, String]): Unit

    Attributes

    protected

    Definition Classes

    SparkJob

14.  val datasetId: DatasetId

    Definition Classes

    BigQueryJobBase

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

    Definition Classes

    AnyRef

16.  def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

17.  def finalize(): Unit

    Attributes

    protected[lang]

    Definition Classes

    AnyRef

    Annotations

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

18.  final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

19.  def getOrCreateDataset(): Dataset

    Definition Classes

    BigQueryJobBase

20.  def getOrCreateTable(dataFrame: Option[DataFrame], maybeSchema: Option[Schema]): (Table, StandardTableDefinition)
21.  def hashCode(): Int

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

22.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

23.  val logger: Logger

    Attributes

    protected

    Definition Classes

    StrictLogging

24.  def name: String

    Definition Classes

    BigQuerySparkJob → JobBase

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

    Definition Classes

    AnyRef

26.  final def notify(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

27.  final def notifyAll(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

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

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

    returns

    (SinkType, configName, viewName)

    Attributes

    protected

    Definition Classes

    JobBase

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

    Attributes

    protected

    Definition Classes

    SparkJob

30.  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

31.  def prepareConf(): Configuration
32.  def prepareRLS(): List[String]

    Definition Classes

    BigQueryJobBase

33.  val projectId: String

    Definition Classes

    BigQuerySparkJob → BigQueryJobBase

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

    Attributes

    protected

    Definition Classes

    SparkJob

35.  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

    BigQuerySparkJob → JobBase

36.  def runJob(statement: String, location: String): Job

    Definition Classes

    BigQueryJobBase

37.  def runSparkConnector(): Try[SparkJobResult]
38.  lazy val session: SparkSession

    Definition Classes

    SparkJob

39.  implicit val settings: Settings

    Definition Classes

    BigQuerySparkJob → JobBase

40.  lazy val sparkEnv: SparkEnv

    Definition Classes

    SparkJob

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

    Definition Classes

    AnyRef

42.  val tableId: TableId

    Definition Classes

    BigQueryJobBase

43.  def timePartitioning(partitionField: String, days: Option[Int] = None, requirePartitionFilter: Boolean): Builder

    Definition Classes

    BigQueryJobBase

44.  def toString(): String

    Definition Classes

    AnyRef → Any

45.  final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    Definition Classes

    AnyRef

    Annotations

    @throws( ... ) @native()