Histogram

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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. val NUM_BUCKETS: Int

   

5. def apply(address: MetricAddress, percentiles: Seq[Double] = Histogram.defaultPercentiles, sampleRate: Double = 1.0, pruneEmpty: Boolean = false)(implicit collection: Collection): Histogram

   

6. final def asInstanceOf[T0]: T0

   

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7. def clone(): AnyRef

   

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8. val defaultBucketRanges: BucketList

   

9. val defaultPercentiles: List[Double]

   

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

    

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11. def equals(arg0: Any): Boolean

    

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12. def finalize(): Unit

    

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13. def generateBucketRanges(num: Int, infinity: Int = Int.MaxValue): BucketList

    

    generate some bucket ranges for a histogram.

    generate some bucket ranges for a histogram. inifnity is the lower bound of the last bucket. You can set this to a value lower than MAX_INT when you're confident most values will be below it. For example, if you're measuring processing latency, and you're sure a request will never take more than 1000ms, you can set infinity to this, which will greatly improve accuracy for values below, but all values above will be lumped into a single bucket

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

    

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15. def hashCode(): Int

    

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16. final def isInstanceOf[T0]: Boolean

    

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

    

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18. final def notify(): Unit

    

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19. final def notifyAll(): Unit

    

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

    

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21. def toString(): String

    

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22. final def wait(): Unit

    

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

    

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

    

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