"use strict"; Object.defineProperty(exports, "__esModule", { value: true }); /* * This is a TypeScript port of the original Java version, which was written by * Gil Tene as described in * https://github.com/HdrHistogram/HdrHistogram * and released to the public domain, as explained at * http://creativecommons.org/publicdomain/zero/1.0/ */ const JsHistogram_1 = require("./JsHistogram"); const PackedArray_1 = require("./packedarray/PackedArray"); /** *
* {@link PackedHistogram} supports the recording and analyzing sampled data value counts across a configurable * integer value range with configurable value precision within the range. Value precision is expressed as the * number of significant digits in the value recording, and provides control over value quantization behavior * across the value range and the subsequent value resolution at any given level. *
* {@link PackedHistogram} tracks value counts in a packed internal representation optimized * for typical histogram recoded values are sparse in the value range and tend to be incremented in small unit counts. * This packed representation tends to require significantly smaller amounts of stoarge when compared to unpacked * representations, but can incur additional recording cost due to resizing and repacking operations that may * occur as previously unrecorded values are encountered. *
* For example, a {@link PackedHistogram} could be configured to track the counts of observed integer values between 0 and * 3,600,000,000,000 while maintaining a value precision of 3 significant digits across that range. Value quantization * within the range will thus be no larger than 1/1,000th (or 0.1%) of any value. This example Histogram could * be used to track and analyze the counts of observed response times ranging between 1 nanosecond and 1 hour * in magnitude, while maintaining a value resolution of 1 microsecond up to 1 millisecond, a resolution of * 1 millisecond (or better) up to one second, and a resolution of 1 second (or better) up to 1,000 seconds. At its * maximum tracked value (1 hour), it would still maintain a resolution of 3.6 seconds (or better). *
* Auto-resizing: When constructed with no specified value range range (or when auto-resize is turned on with {@link * Histogram#setAutoResize}) a {@link PackedHistogram} will auto-resize its dynamic range to include recorded values as * they are encountered. Note that recording calls that cause auto-resizing may take longer to execute, as resizing * incurs allocation and copying of internal data structures. *
*/ class PackedHistogram extends JsHistogram_1.default { constructor(lowestDiscernibleValue, highestTrackableValue, numberOfSignificantValueDigits) { super(lowestDiscernibleValue, highestTrackableValue, numberOfSignificantValueDigits); this._totalCount = 0; this.packedCounts = new PackedArray_1.PackedArray(this.countsArrayLength); } clearCounts() { this.packedCounts.clear(); } incrementCountAtIndex(index) { this.packedCounts.increment(index); } addToCountAtIndex(index, value) { this.packedCounts.add(index, value); } setCountAtIndex(index, value) { this.packedCounts.set(index, value); } resize(newHighestTrackableValue) { this.establishSize(newHighestTrackableValue); this.packedCounts.setVirtualLength(this.countsArrayLength); } getCountAtIndex(index) { return this.packedCounts.get(index); } _getEstimatedFootprintInBytes() { return 192 + 8 * this.packedCounts.getPhysicalLength(); } copyCorrectedForCoordinatedOmission(expectedIntervalBetweenValueSamples) { const copy = new PackedHistogram(this.lowestDiscernibleValue, this.highestTrackableValue, this.numberOfSignificantValueDigits); copy.addWhileCorrectingForCoordinatedOmission(this, expectedIntervalBetweenValueSamples); return copy; } toString() { return `PackedHistogram ${JSON.stringify(this, null, 2)}`; } } exports.default = PackedHistogram; //# sourceMappingURL=PackedHistogram.js.map