export declare const NO_TAG = "NO TAG"; export declare type BitBucketSize = 8 | 16 | 32 | 64 | "packed"; export interface HistogramSummary { p50: number; p75: number; p90: number; p97_5: number; p99: number; p99_9: number; p99_99: number; p99_999: number; max: number; totalCount: number; } export default interface Histogram { /** * Flag to enable automatic resizing of the underlying array */ autoResize: boolean; /** * The current highest trackable value. May change if autoresize flag is set to true */ readonly highestTrackableValue: number; /** * Total count of all recorded values in the histogram */ readonly totalCount: number; /** * The computed standard deviation of all recorded values in the histogram */ readonly stdDeviation: number; /** * The computed mean value of all recorded values in the histogram */ readonly mean: number; /** * Main percentiles, max value and total number of recorded values */ readonly summary: HistogramSummary; /** * A (conservatively high) estimate of the Histogram's total footprint in bytes */ readonly estimatedFootprintInBytes: number; readonly maxValue: number; readonly minNonZeroValue: number; readonly numberOfSignificantValueDigits: number; startTimeStampMsec: number; endTimeStampMsec: number; tag: string; /** * Record a value in the histogram * * @param value The value to be recorded * @throws may throw Error if value is exceeds highestTrackableValue */ recordValue(value: number): void; /** * Record a value in the histogram (adding to the value's current count) * * @param value The value to be recorded * @param count The number of occurrences of this value to record * @throws ArrayIndexOutOfBoundsException (may throw) if value is exceeds highestTrackableValue */ recordValueWithCount(value: number, count: number): void; /** * Get the value at a given percentile. * When the given percentile is > 0.0, the value returned is the value that the given * percentage of the overall recorded value entries in the histogram are either smaller than * or equivalent to. When the given percentile is 0.0, the value returned is the value that all value * entries in the histogram are either larger than or equivalent to. *
* Note that two values are "equivalent" in this statement if * {@link org.HdrHistogram.JsHistogram#valuesAreEquivalent} would return true. * * @param percentile The percentile for which to return the associated value * @return The value that the given percentage of the overall recorded value entries in the * histogram are either smaller than or equivalent to. When the percentile is 0.0, returns the * value that all value entries in the histogram are either larger than or equivalent to. */ getValueAtPercentile(percentile: number): number; /** * Produce textual representation of the value distribution of histogram data by percentile. The distribution is * output with exponentially increasing resolution, with each exponentially decreasing half-distance containing * dumpTicksPerHalf percentile reporting tick points. * * @param printStream Stream into which the distribution will be output *
* @param percentileTicksPerHalfDistance The number of reporting points per exponentially decreasing half-distance *
* @param outputValueUnitScalingRatio The scaling factor by which to divide histogram recorded values units in * output * @param useCsvFormat Output in CSV format if true. Otherwise use plain text form. */ outputPercentileDistribution(percentileTicksPerHalfDistance?: number, outputValueUnitScalingRatio?: number, useCsvFormat?: false): string; toJSON(): HistogramSummary; /** * Record a value in the histogram. *
* To compensate for the loss of sampled values when a recorded value is larger than the expected * interval between value samples, Histogram will auto-generate an additional series of decreasingly-smaller * (down to the expectedIntervalBetweenValueSamples) value records. *
* Note: This is a at-recording correction method, as opposed to the post-recording correction method provided * by {@link #copyCorrectedForCoordinatedOmission(long)}. * The two methods are mutually exclusive, and only one of the two should be be used on a given data set to correct * for the same coordinated omission issue. *
* See notes in the description of the Histogram calls for an illustration of why this corrective behavior is * important. * * @param value The value to record * @param expectedIntervalBetweenValueSamples If expectedIntervalBetweenValueSamples is larger than 0, add * auto-generated value records as appropriate if value is larger * than expectedIntervalBetweenValueSamples * @throws ArrayIndexOutOfBoundsException (may throw) if value is exceeds highestTrackableValue */ recordValueWithExpectedInterval(value: number, expectedIntervalBetweenValueSamples: number): void; /** * Add the contents of another histogram to this one, while correcting the incoming data for coordinated omission. *
* To compensate for the loss of sampled values when a recorded value is larger than the expected * interval between value samples, the values added will include an auto-generated additional series of * decreasingly-smaller (down to the expectedIntervalBetweenValueSamples) value records for each count found * in the current histogram that is larger than the expectedIntervalBetweenValueSamples. * * Note: This is a post-recording correction method, as opposed to the at-recording correction method provided * by {@link #recordValueWithExpectedInterval(long, long) recordValueWithExpectedInterval}. The two * methods are mutually exclusive, and only one of the two should be be used on a given data set to correct * for the same coordinated omission issue. * by *
* See notes in the description of the Histogram calls for an illustration of why this corrective behavior is * important. * * @param otherHistogram The other histogram. highestTrackableValue and largestValueWithSingleUnitResolution must match. * @param expectedIntervalBetweenValueSamples If expectedIntervalBetweenValueSamples is larger than 0, add * auto-generated value records as appropriate if value is larger * than expectedIntervalBetweenValueSamples * @throws ArrayIndexOutOfBoundsException (may throw) if values exceed highestTrackableValue */ addWhileCorrectingForCoordinatedOmission(otherHistogram: Histogram, expectedIntervalBetweenValueSamples: number): void; /** * Get a copy of this histogram, corrected for coordinated omission. *
* To compensate for the loss of sampled values when a recorded value is larger than the expected * interval between value samples, the new histogram will include an auto-generated additional series of * decreasingly-smaller (down to the expectedIntervalBetweenValueSamples) value records for each count found * in the current histogram that is larger than the expectedIntervalBetweenValueSamples. * * Note: This is a post-correction method, as opposed to the at-recording correction method provided * by {@link #recordValueWithExpectedInterval(long, long) recordValueWithExpectedInterval}. The two * methods are mutually exclusive, and only one of the two should be be used on a given data set to correct * for the same coordinated omission issue. * by *
* See notes in the description of the Histogram calls for an illustration of why this corrective behavior is * important. * * @param expectedIntervalBetweenValueSamples If expectedIntervalBetweenValueSamples is larger than 0, add * auto-generated value records as appropriate if value is larger * than expectedIntervalBetweenValueSamples * @return a copy of this histogram, corrected for coordinated omission. */ copyCorrectedForCoordinatedOmission(expectedIntervalBetweenValueSamples: number): Histogram; /** * Add the contents of another histogram to this one. *
* As part of adding the contents, the start/end timestamp range of this histogram will be * extended to include the start/end timestamp range of the other histogram. * * @param otherHistogram The other histogram. * @throws (may throw) if values in fromHistogram's are * higher than highestTrackableValue. */ add(otherHistogram: Histogram): void; /** * Subtract the contents of another histogram from this one. *
* The start/end timestamps of this histogram will remain unchanged. * * @param otherHistogram The other histogram. * @throws ArrayIndexOutOfBoundsException (may throw) if values in otherHistogram's are higher than highestTrackableValue. * */ subtract(otherHistogram: Histogram): void; reset(): void; /** * Clean up memory associated to this histogram. Useful for WebAssembly implementations */ destroy(): void; } export interface HistogramConstructor { new (lowestDiscernibleValue: number, highestTrackableValue: number, numberOfSignificantValueDigits: number): Histogram; } export declare const toSummary: (histogram: Histogram) => HistogramSummary;