Packages

final case class Enablers(allowSqlQueries: Boolean = false, allowNotifications: Boolean = false, aggregatedKafkaOutput: Boolean = false, enableCaseSensitivity: Boolean = false, errorDumpSize: PositiveInt = 10000, outputRepartition: PositiveInt = 1, metricEngineAPI: MetricEngineAPI = MetricEngineAPI.RDD, checkFailureTolerance: CheckFailureTolerance = CheckFailureTolerance.None) extends Product with Serializable

Application-level configuration for switchers (enablers)

allowSqlQueries

Enables arbitrary SQL queries in virtual sources

allowNotifications

Enables notifications to be sent from DQ application

aggregatedKafkaOutput

Enables sending aggregates messages for Kafka Targets (one per each target type, except checkAlerts where one message per checkAlert will be sent)

enableCaseSensitivity

Enable columns case sensitivity

errorDumpSize

Maximum number of errors to be collected per single metric per partition.

outputRepartition

Sets the number of partitions when writing outputs. By default writes single file.

metricEngineAPI

Metric processor API used to process metrics: either Spark RDD or Spark DF.

checkFailureTolerance

Sets check failure tolerance for the application i.e. whether the application should return non-zero exit code when some the checks have failed.

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Instance Constructors

  1. new Enablers(allowSqlQueries: Boolean = false, allowNotifications: Boolean = false, aggregatedKafkaOutput: Boolean = false, enableCaseSensitivity: Boolean = false, errorDumpSize: PositiveInt = 10000, outputRepartition: PositiveInt = 1, metricEngineAPI: MetricEngineAPI = MetricEngineAPI.RDD, checkFailureTolerance: CheckFailureTolerance = CheckFailureTolerance.None)

    allowSqlQueries

    Enables arbitrary SQL queries in virtual sources

    allowNotifications

    Enables notifications to be sent from DQ application

    aggregatedKafkaOutput

    Enables sending aggregates messages for Kafka Targets (one per each target type, except checkAlerts where one message per checkAlert will be sent)

    enableCaseSensitivity

    Enable columns case sensitivity

    errorDumpSize

    Maximum number of errors to be collected per single metric per partition.

    outputRepartition

    Sets the number of partitions when writing outputs. By default writes single file.

    metricEngineAPI

    Metric processor API used to process metrics: either Spark RDD or Spark DF.

    checkFailureTolerance

    Sets check failure tolerance for the application i.e. whether the application should return non-zero exit code when some the checks have failed.

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. val aggregatedKafkaOutput: Boolean
  5. val allowNotifications: Boolean
  6. val allowSqlQueries: Boolean
  7. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  8. val checkFailureTolerance: CheckFailureTolerance
  9. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  10. val enableCaseSensitivity: Boolean
  11. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  12. val errorDumpSize: PositiveInt
  13. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  14. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  15. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  16. val metricEngineAPI: MetricEngineAPI
  17. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  18. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  19. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  20. val outputRepartition: PositiveInt
  21. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  22. final def wait(): Unit
    Definition Classes
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    Annotations
    @throws( ... )
  23. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
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    @throws( ... )
  24. final def wait(arg0: Long): Unit
    Definition Classes
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    @throws( ... ) @native()

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