Trait

com.coxautodata.waimak.dataflow.spark

SparkDataFlowAction

Related Doc: package spark

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trait SparkDataFlowAction extends DataFlowAction

Linear Supertypes
DataFlowAction, AnyRef, Any
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  1. SparkDataFlowAction
  2. DataFlowAction
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Abstract Value Members

  1. abstract val inputLabels: List[String]

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    The unique identifiers for the inputs to this action

    The unique identifiers for the inputs to this action

    Definition Classes
    DataFlowAction
  2. abstract val outputLabels: List[String]

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    The unique identifiers for the outputs to this action

    The unique identifiers for the outputs to this action

    Definition Classes
    DataFlowAction
  3. abstract def performAction(inputs: DataFlowEntities, flowContext: SparkFlowContext): Try[ActionResult]

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Concrete Value Members

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

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    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  4. def actionName: String

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    For representing the action

    For representing the action

    Definition Classes
    DataFlowAction
  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  6. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  7. def description: String

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    Definition Classes
    DataFlowAction
  8. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  9. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  10. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  11. def flowState(inputs: DataFlowEntities): DataFlowActionState

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    Action has the responsibility of assessing itself and produce DataFlowActionState, that will be used by the executors to determine if they can call performAction or not.

    Action has the responsibility of assessing itself and produce DataFlowActionState, that will be used by the executors to determine if they can call performAction or not. Also can be used for progress monitoring. This will allow for more custom actions without modifying the executors

    inputs

    - action will study the state of the inputs in order to generate self assessment

    returns

    - an instance of the DataFlowActionState

    Definition Classes
    DataFlowAction
  12. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  13. val guid: String

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    Unique id of the action, but using it for adding behaviours can be problematic due to Interceptors that are defined at a much later stage.

    Unique id of the action, but using it for adding behaviours can be problematic due to Interceptors that are defined at a much later stage. Because of that ActionSchedulers must NOT use this guid.

    Definition Classes
    DataFlowAction
  14. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  15. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  16. def logLabel: String

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    Definition Classes
    DataFlowAction
  17. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  18. final def notify(): Unit

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    Definition Classes
    AnyRef
  19. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  20. def performAction[C <: FlowContext](inputs: DataFlowEntities, flowContext: C): Try[ActionResult]

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    Perform the action

    Perform the action

    inputs

    the DataFlowEntities corresponding to the inputLabels

    flowContext

    context of the flow in which this action runs

    returns

    the action outputs (these must be declared in the same order as their labels in outputLabels)

    Definition Classes
    SparkDataFlowActionDataFlowAction
  21. def requiresAllInputs: Boolean

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    This action can only be executed if all of the inputs are not empty.

    This action can only be executed if all of the inputs are not empty. An input can be explicitly marked as empty. If false, than one or more inputs can be empty to start execution.

    Definition Classes
    DataFlowAction
  22. def schedulingGuid: String

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    Interceptors must not override this property, as certain behaviours of the data flow (Ex, execution pools) will be associated with this scheduling guid.

    Interceptors must not override this property, as certain behaviours of the data flow (Ex, execution pools) will be associated with this scheduling guid. Also ActionScheduler will use this guid to track scheduled actions.

    Definition Classes
    DataFlowAction
  23. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  24. def toString(): String

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    Definition Classes
    AnyRef → Any
  25. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  26. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  27. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from DataFlowAction

Inherited from AnyRef

Inherited from Any

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