colossus.metrics

Histogram

object Histogram

A Basic log-scale histogram, mainly designed to measure latency

Each bucket handles an increasingly large range of values from 0 to MAX_INT.

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  6. val NUM_BUCKETS: Int

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

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  10. val defaultBucketRanges: BucketList

  11. val defaultPercentiles: List[Double]

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  15. 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

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