Atomic

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

def add(arg0: AbstractHistogram): Unit

def addWhileCorrectingForCoordinatedOmission(arg0: AbstractHistogram, arg1: Long): Unit

def allValues(): AllValues

final def asInstanceOf[T0]: T0

def autoUpdate(consumer: (Timer) ⇒ Unit, interval: Duration): Timer

def autoUpdate(consumer: (Timer) ⇒ Unit): Timer

Schedules a call to the provided consumer with a reference to this histogram as parameter.

def autoUpdate(consumer: Consumer[Timer], interval: Duration): Timer

Schedules a call to the provided consumer with a reference to this histogram as parameter, overriding the metric's auto-update interval.

def autoUpdate(consumer: Consumer[Timer]): Timer

Schedules a call to the provided consumer with a reference to this histogram as parameter.

def baseMetric: BaseMetric[Timer, ForDistributionInstrument, Distribution]

def clone(): AnyRef

def copy(): AtomicHistogram

def copyCorrectedForCoordinatedOmission(arg0: Long): AtomicHistogram

def copyInto(arg0: AbstractHistogram): Unit

def copyIntoCorrectedForCoordinatedOmission(arg0: AbstractHistogram, arg1: Long): Unit

def defaultSchedule(): Unit

val dynamicRange: DynamicRange

def encodeIntoByteBuffer(arg0: ByteBuffer): Int

def encodeIntoCompressedByteBuffer(arg0: ByteBuffer): Int

def encodeIntoCompressedByteBuffer(arg0: ByteBuffer, arg1: Int): Int

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

def getAndSetFromCountsArray(index: Int, newValue: Long): Long

final def getClass(): Class[_]

def getCountAtValue(arg0: Long): Long

def getCountBetweenValues(arg0: Long, arg1: Long): Long

def getCountsArraySize(): Int

def getEndTimeStamp(): Long

def getEstimatedFootprintInBytes(): Int

def getFromCountsArray(index: Int): Long

def getHighestTrackableValue(): Long

def getLowestDiscernibleValue(): Long

def getMaxValue(): Long

def getMaxValueAsDouble(): Double

def getMean(): Double

def getMinNonZeroValue(): Long

def getMinValue(): Long

def getNeededByteBufferCapacity(): Int

def getNumberOfSignificantValueDigits(): Int

def getPercentileAtOrBelowValue(arg0: Long): Double

def getStartTimeStamp(): Long

def getStdDeviation(): Double

def getSubBucketHalfCount(): Int

def getSubBucketHalfCountMagnitude(): Int

def getTag(): String

def getTotalCount(): Long

def getUnitMagnitude(): Int

def getValueAtPercentile(arg0: Double): Long

def hashCode(): Int

def highestEquivalentValue(arg0: Long): Long

def isAutoResize(): Boolean

final def isInstanceOf[T0]: Boolean

def linearBucketValues(arg0: Long): LinearBucketValues

def logarithmicBucketValues(arg0: Long, arg1: Double): LogarithmicBucketValues

def lowestEquivalentValue(arg0: Long): Long

def medianEquivalentValue(arg0: Long): Long

val metric: BaseMetric[Timer, ForDistributionInstrument, Distribution]

Returns the metric to which this instrument belongs.

final def ne(arg0: AnyRef): Boolean

def nextNonEquivalentValue(arg0: Long): Long

final def notify(): Unit

final def notifyAll(): Unit

def outputPercentileDistribution(arg0: PrintStream, arg1: Int, arg2: Double, arg3: Boolean): Unit

def outputPercentileDistribution(arg0: PrintStream, arg1: Int, arg2: Double): Unit

def outputPercentileDistribution(arg0: PrintStream, arg1: Double): Unit

def percentiles(arg0: Int): Percentiles

def record(elapsed: Long, unit: TimeUnit): Timer

Records an elapsed time expressed on the provided time unit

def record(duration: Duration): Timer

Records a specified duration, translated to nanoseconds

def record(nanos: Long): Timer

Records a value on the underlying histogram, handling the case of overflowing the dynamic range

def recordValue(arg0: Long): Unit

def recordValueWithCount(arg0: Long, arg1: Long): Unit

def recordValueWithExpectedInterval(arg0: Long, arg1: Long): Unit

def recordedValues(): RecordedValues

def remove(): Boolean

Removes this instrument from the metric.

def reset(): Unit

def setAutoResize(arg0: Boolean): Unit

def setEndTimeStamp(arg0: Long): Unit

def setStartTimeStamp(arg0: Long): Unit

def setTag(arg0: String): Unit

def shiftValuesLeft(arg0: Int): Unit

def shiftValuesRight(arg0: Int): Unit

def sizeOfEquivalentValueRange(arg0: Long): Long

def snapshot(resetState: Boolean): Distribution

Creates a snapshot for an instrument.

def start(): Started

Starts a timer that will record the elapsed time between the start and stop instants

def subtract(arg0: AbstractHistogram): Unit

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

val tags: TagSet

Returns the tags used to create this instrument.

def toString(): String

def valuesAreEquivalent(arg0: Long, arg1: Long): Boolean

final def wait(): Unit

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

final def wait(arg0: Long): Unit

def withTag(key: String, value: Long): Timer

Returns an instrument with one additional tag defined by the provided key and value pair.

def withTag(key: String, value: Boolean): Timer

Returns an instrument with one additional tag defined by the provided key and value pair.

def withTag(key: String, value: String): Timer

Returns an instrument with one additional tag defined by the provided key and value pair.

def withTags(tags: TagSet): Timer

Returns an instrument with additional tags from the provided TagSet.

def recordValue(arg0: Long, arg1: Long): Unit