CpuProfile

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

   

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

   

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7. def equals(arg0: Any): Boolean

   

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8. def finalize(): Unit

   

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

   

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10. def hashCode(): Int

    

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11. final def isInstanceOf[T0]: Boolean

    

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

    

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13. final def notify(): Unit

    

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14. final def notifyAll(): Unit

    

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15. def record(howlong: Duration, frequency: Int): CpuProfile

    

16. def record(howlong: Duration, frequency: Int, state: State): CpuProfile

    

    Profile CPU usage of threads in state for howlong, sampling stacks at frequency Hz.

    Profile CPU usage of threads in state for howlong, sampling stacks at frequency Hz.

    As an example, using Nyquist's sampling theorem, we see that sampling at 100Hz will accurately represent components 50Hz or less; ie. any stack that contributes 2% or more to the total CPU time.

    Note that the maximum sampling frequency is set to 1000Hz. Anything greater than this is likely to consume considerable amounts of CPU while sampling.

    The profiler will discount its own stacks.

    TODO:

    • Should we synthesize GC frames? GC has significant runtime impact, so it seems nonfaithful to exlude them.
    • Limit stack depth?

17. def recordInThread(howlong: Duration, frequency: Int): Future[CpuProfile]

    

18. def recordInThread(howlong: Duration, frequency: Int, state: State): Future[CpuProfile]

    

    Call record in a thread with the given parameters, returning a Future representing the completion of the profile.

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

    

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20. def toString(): String

    

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21. final def wait(): Unit

    

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

    

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

    

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