BigQuerySparkJob

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

   AnyRef → Any

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. 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

7. final def asInstanceOf[T0]: T0

   

   Definition Classes

   Any

8. val bigquery: BigQuery

   

   Definition Classes

   BigQueryJobBase

9. val bqTable: String

   

   Definition Classes

   BigQueryJobBase

10. val bucket: String

    

11. val cliConfig: BigQueryLoadConfig

    

    Definition Classes

    BigQuerySparkJob → BigQueryJobBase

12. def clone(): AnyRef

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

13. val conf: Configuration

    

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

    

    Attributes

    protected

    Definition Classes

    SparkJob

15. val datasetId: DatasetId

    

    Definition Classes

    BigQueryJobBase

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

    

    Definition Classes

    AnyRef

17. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

18. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

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

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

    

    Definition Classes

    AnyRef → Any

20. def getOrCreateDataset(): Dataset

    

    Definition Classes

    BigQueryJobBase

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

    

22. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

23. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

24. val logger: Logger

    

    Attributes

    protected

    Definition Classes

    StrictLogging

25. def name: String

    

    Definition Classes

    BigQuerySparkJob → JobBase

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

    

    Definition Classes

    AnyRef

27. final def notify(): Unit

    

    Definition Classes

    AnyRef

28. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

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( ... )