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/**
 * Copyright 2017 VMware, Inc.
 * 

* Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at *

* https://www.apache.org/licenses/LICENSE-2.0 *

* Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ package io.micrometer.core.instrument.distribution; import io.micrometer.core.instrument.util.TimeUtils; import io.micrometer.core.lang.Nullable; import java.io.PrintStream; import java.util.Arrays; import java.util.concurrent.TimeUnit; import java.util.function.BiConsumer; public final class HistogramSnapshot { private static final ValueAtPercentile[] EMPTY_VALUES = new ValueAtPercentile[0]; private static final CountAtBucket[] EMPTY_COUNTS = new CountAtBucket[0]; private final ValueAtPercentile[] percentileValues; private final CountAtBucket[] histogramCounts; private final long count; private final double total; private final double max; @Nullable private final BiConsumer summaryOutput; /** * @param count Total number of recordings * @param total In nanos if a unit of time * @param max In nanos if a unit of time * @param percentileValues Pre-computed percentiles. * @param histogramCounts Bucket counts. * @param summaryOutput A function defining how to print the histogram. */ public HistogramSnapshot(long count, double total, double max, @Nullable ValueAtPercentile[] percentileValues, @Nullable CountAtBucket[] histogramCounts, @Nullable BiConsumer summaryOutput) { this.count = count; this.total = total; this.max = max; this.percentileValues = percentileValues != null ? percentileValues : EMPTY_VALUES; this.histogramCounts = histogramCounts != null ? histogramCounts : EMPTY_COUNTS; this.summaryOutput = summaryOutput; } public long count() { return count; } public double total() { return total; } public double total(TimeUnit unit) { return TimeUtils.nanosToUnit(total, unit); } public double max() { return max; } public double max(TimeUnit unit) { return TimeUtils.nanosToUnit(max, unit); } public double mean() { return count == 0 ? 0 : total / count; } public double mean(TimeUnit unit) { return TimeUtils.nanosToUnit(mean(), unit); } public ValueAtPercentile[] percentileValues() { return percentileValues; } public CountAtBucket[] histogramCounts() { return histogramCounts; } @Override public String toString() { final StringBuilder buf = new StringBuilder(); buf.append("HistogramSnapshot{count="); buf.append(count); buf.append(", total="); buf.append(total); buf.append(", mean="); buf.append(mean()); buf.append(", max="); buf.append(max); if (percentileValues.length > 0) { buf.append(", percentileValues="); buf.append(Arrays.toString(percentileValues)); } if (histogramCounts.length > 0) { buf.append(", histogramCounts="); buf.append(Arrays.toString(histogramCounts)); } buf.append('}'); return buf.toString(); } public static HistogramSnapshot empty(long count, double total, double max) { return new HistogramSnapshot(count, total, max, null, null, null); } public void outputSummary(PrintStream out, double scale) { if (summaryOutput != null) { this.summaryOutput.accept(out, scale); } } }





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