SequentialDataFlowExecutor

Value Members

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

   

   Definition Classes

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2. final def ##(): Int

   

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3. final def ==(arg0: Any): Boolean

   

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4. final def asInstanceOf[T0]: T0

   

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5. def clone(): AnyRef

   

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   protected[java.lang]

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

   

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7. def equals(arg0: Any): Boolean

   

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8. def execute[A <: DataFlow[A]](dataFlow: A, errorOnUnexecutedActions: Boolean = true): (Seq[DataFlowAction], A)

   

   Executes as many actions as possible with the given DAG, stops when no more actions can be executed.

   Executes as many actions as possible with the given DAG, stops when no more actions can be executed.

   dataFlow

   initial state with actions to execute and set inputs from previous actions

   errorOnUnexecutedActions

   whether to throw an exception if some actions on the flow did not execute. Default is true

   returns

   (Seq[EXECUTED ACTIONS], FINAL STATE). Final state does not contain the executed actions and the outputs of the executed actions are now in the inputs

   Definition Classes

   DataFlowExecutor

9. def finalize(): Unit

   

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   protected[java.lang]

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

10. val flowReporter: FlowReporter

    

    Used to report events on the flow.

    Used to report events on the flow.

    Definition Classes

    SequentialDataFlowExecutor → DataFlowExecutor

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

    

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12. def hashCode(): Int

    

    Definition Classes

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13. def initActionScheduler(): ActionScheduler

    

    Action scheduler used to run actions

    Action scheduler used to run actions

    Definition Classes

    SequentialDataFlowExecutor → DataFlowExecutor

14. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

15. def isTraceEnabled(): Boolean

    

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    protected

    Definition Classes

    Logging

16. def logAndReturn[A](a: A, msg: String, level: Level): A

    

    Takes a value of type A and a msg to log, returning a and logging the message at the desired level

    Takes a value of type A and a msg to log, returning a and logging the message at the desired level

    returns

    a

    Definition Classes

    Logging

17. def logAndReturn[A](a: A, message: (A) ⇒ String, level: Level): A

    

    Takes a value of type A and a function message from A to String, logs the value of invoking message(a) at the level described by the level parameter

    Takes a value of type A and a function message from A to String, logs the value of invoking message(a) at the level described by the level parameter

    returns

    a

    Definition Classes

    Logging

    Example:

    1. logAndReturn(1, (num: Int) => s"number: $num", Info)
       // In the log we would see a log corresponding to "number 1"

18. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

    

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    Logging

19. def logDebug(msg: ⇒ String): Unit

    

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    Logging

20. def logError(msg: ⇒ String, throwable: Throwable): Unit

    

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    protected

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    Logging

21. def logError(msg: ⇒ String): Unit

    

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    protected

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    Logging

22. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

    

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    protected

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    Logging

23. def logInfo(msg: ⇒ String): Unit

    

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    protected

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    Logging

24. def logName: String

    

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    protected

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    Logging

25. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

    

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    protected

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    Logging

26. def logTrace(msg: ⇒ String): Unit

    

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    protected

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    Logging

27. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

    

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    protected

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    Logging

28. def logWarning(msg: ⇒ String): Unit

    

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    protected

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    Logging

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

    

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    AnyRef

30. def nextActionToSchedule[A <: DataFlow[A]](currentFlow: A, actionScheduler: ActionScheduler): Option[(String, DataFlowAction)]

    

    Determines which execution pool to schedule in and an action to schedule into it.

    Determines which execution pool to schedule in and an action to schedule into it. Decision depends on: 1) slots available in the pools 2) actions available for the pools with slots 3) priority strategy that will select and change the order of the available actions

    returns

    (Pool into which to schedule, Action to schedule)

    Attributes

    protected[com.coxautodata.waimak.dataflow]

    Definition Classes

    DataFlowExecutor

31. final def notify(): Unit

    

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32. final def notifyAll(): Unit

    

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33. val priorityStrategy: (Seq[DataFlowAction]) ⇒ Seq[DataFlowAction]

    

    A complex data flow has lots of parallel, diverging and converging actions, lots of the actions could be started in parallel, but certain actions if started earlier could lead to quicker end to end execution of all of the flows and various strategies could lead to it.

    A complex data flow has lots of parallel, diverging and converging actions, lots of the actions could be started in parallel, but certain actions if started earlier could lead to quicker end to end execution of all of the flows and various strategies could lead to it. This strategy will always be applied to a set of actions to schedule regardless of the scheduler implementation.

    Definition Classes

    SequentialDataFlowExecutor → DataFlowExecutor

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

    

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35. def toString(): String

    

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36. final def wait(): Unit

    

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    @throws( ... )

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

    

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    @throws( ... )

38. final def wait(arg0: Long): Unit

    

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    @throws( ... )

39. def waitForAnActionToFinish[A <: DataFlow[A]](currentFlow: A, actionScheduler: ActionScheduler, successfulActions: Seq[DataFlowAction]): Try[(A, ActionScheduler, Seq[DataFlowAction])]

    

    Definition Classes

    DataFlowExecutor