org.HdrHistogram.Histogram.getValueAtPercentile()方法的使用及代码示例

x33g5p2x  于2022-01-20 转载在 其他  
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本文整理了Java中org.HdrHistogram.Histogram.getValueAtPercentile()方法的一些代码示例，展示了Histogram.getValueAtPercentile()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。Histogram.getValueAtPercentile()方法的具体详情如下：
包路径：org.HdrHistogram.Histogram
类名称：Histogram
方法名：getValueAtPercentile

Histogram.getValueAtPercentile介绍

暂无

代码示例

代码示例来源：origin: HdrHistogram/HdrHistogram

@Override
public synchronized long getValueAtPercentile(final double percentile) {
  return super.getValueAtPercentile(percentile);
}

代码示例来源：origin: networknt/light-4j

@Override
public double getValue(double quantile) {
  return histogram.getValueAtPercentile(quantile * 100.0);
}

代码示例来源：origin: PipelineAI/pipeline

p0 = (int) underlying.getValueAtPercentile(0);
p5 = (int) underlying.getValueAtPercentile(5);
p10 = (int) underlying.getValueAtPercentile(10);
p15 = (int) underlying.getValueAtPercentile(15);
p20 = (int) underlying.getValueAtPercentile(20);
p25 = (int) underlying.getValueAtPercentile(25);
p30 = (int) underlying.getValueAtPercentile(30);
p35 = (int) underlying.getValueAtPercentile(35);
p40 = (int) underlying.getValueAtPercentile(40);
p45 = (int) underlying.getValueAtPercentile(45);
p50 = (int) underlying.getValueAtPercentile(50);
p55 = (int) underlying.getValueAtPercentile(55);
p60 = (int) underlying.getValueAtPercentile(60);
p65 = (int) underlying.getValueAtPercentile(65);
p70 = (int) underlying.getValueAtPercentile(70);
p75 = (int) underlying.getValueAtPercentile(75);
p80 = (int) underlying.getValueAtPercentile(80);
p85 = (int) underlying.getValueAtPercentile(85);
p90 = (int) underlying.getValueAtPercentile(90);
p95 = (int) underlying.getValueAtPercentile(95);
p99 = (int) underlying.getValueAtPercentile(99);
p99_5 = (int) underlying.getValueAtPercentile(99.5);
p99_9 = (int) underlying.getValueAtPercentile(99.9);
p99_95 = (int) underlying.getValueAtPercentile(99.95);
p99_99 = (int) underlying.getValueAtPercentile(99.99);
p100 = (int) underlying.getValueAtPercentile(100);

代码示例来源：origin: apache/storm

public double getLatencyAtPercentile(double percential, TimeUnit unit) {
  return convert(histo.getValueAtPercentile(percential), TimeUnit.NANOSECONDS, unit);
}

代码示例来源：origin: lettuce-io/lettuce-core

private Map<Double, Long> getPercentiles(Histogram histogram) {
  Map<Double, Long> percentiles = new TreeMap<Double, Long>();
  for (double targetPercentile : options.targetPercentiles()) {
    percentiles.put(targetPercentile,
        options.targetUnit().convert(histogram.getValueAtPercentile(targetPercentile), TimeUnit.NANOSECONDS));
  }
  return percentiles;
}

代码示例来源：origin: brianfrankcooper/YCSB

/**
 * This is called periodically from the StatusThread. There's a single
 * StatusThread per Client process. We optionally serialize the interval to
 * log on this opportunity.
 *
 * @see com.yahoo.ycsb.measurements.OneMeasurement#getSummary()
 */
@Override
public String getSummary() {
 Histogram intervalHistogram = getIntervalHistogramAndAccumulate();
 // we use the summary interval as the histogram file interval.
 if (histogramLogWriter != null) {
  histogramLogWriter.outputIntervalHistogram(intervalHistogram);
 }
 DecimalFormat d = new DecimalFormat("#.##");
 return "[" + getName() + ": Count=" + intervalHistogram.getTotalCount() + ", Max="
   + intervalHistogram.getMaxValue() + ", Min=" + intervalHistogram.getMinValue() + ", Avg="
   + d.format(intervalHistogram.getMean()) + ", 90=" + d.format(intervalHistogram.getValueAtPercentile(90))
   + ", 99=" + d.format(intervalHistogram.getValueAtPercentile(99)) + ", 99.9="
   + d.format(intervalHistogram.getValueAtPercentile(99.9)) + ", 99.99="
   + d.format(intervalHistogram.getValueAtPercentile(99.99)) + "]";
}

代码示例来源：origin: HdrHistogram/HdrHistogram

((Histogram) intervalHistogram).getValueAtPercentile(50.0) / config.outputValueUnitRatio,
    ((Histogram) intervalHistogram).getValueAtPercentile(90.0) / config.outputValueUnitRatio,
    ((Histogram) intervalHistogram).getMaxValue() / config.outputValueUnitRatio,
    accumulatedRegularHistogram.getValueAtPercentile(50.0) / config.outputValueUnitRatio,
    accumulatedRegularHistogram.getValueAtPercentile(90.0) / config.outputValueUnitRatio,
    accumulatedRegularHistogram.getValueAtPercentile(99.0) / config.outputValueUnitRatio,
    accumulatedRegularHistogram.getValueAtPercentile(99.9) / config.outputValueUnitRatio,
    accumulatedRegularHistogram.getValueAtPercentile(99.99) / config.outputValueUnitRatio,
    accumulatedRegularHistogram.getMaxValue() / config.outputValueUnitRatio
);
    ((Histogram) movingWindowSumHistogram).getValueAtPercentile(config.movingWindowPercentileToReport) / config.outputValueUnitRatio,
    ((Histogram) movingWindowSumHistogram).getMaxValue() / config.outputValueUnitRatio
);

代码示例来源：origin: brianfrankcooper/YCSB

totalHistogram.getValueAtPercentile(percentile));

代码示例来源：origin: glowroot/glowroot

public long getValueAtPercentile(double percentile) {
  if (histogram == null) {
    if (size == 0) {
      // this is consistent with HdrHistogram behavior
      return 0;
    }
    if (!sorted) {
      sortValues();
    }
    if (percentile == 0) {
      // support "0th" percentile to mean the smallest tracked percentile
      return values[0];
    }
    return values[(int) Math.ceil(size * percentile / 100) - 1];
  }
  return histogram.getValueAtPercentile(percentile);
}

代码示例来源：origin: com.datastax.cassandra/cassandra-driver-core

/**
 * Returns the request latency at a given percentile.
 *
 * @param host the host (if this is relevant in the way percentiles are categorized).
 * @param statement the statement (if this is relevant in the way percentiles are categorized).
 * @param exception the exception (if this is relevant in the way percentiles are categorized).
 * @param percentile the percentile (for example, {@code 99.0} for the 99th percentile).
 * @return the latency (in milliseconds) at the given percentile, or a negative value if it's not
 *     available yet.
 * @see #computeKey(Host, Statement, Exception)
 */
public long getLatencyAtPercentile(
  Host host, Statement statement, Exception exception, double percentile) {
 checkArgument(
   percentile >= 0.0 && percentile < 100,
   "percentile must be between 0.0 and 100 (was %s)",
   percentile);
 Histogram histogram = getLastIntervalHistogram(host, statement, exception);
 if (histogram == null || histogram.getTotalCount() < minRecordedValues) return -1;
 return histogram.getValueAtPercentile(percentile);
}

代码示例来源：origin: neo4j-contrib/neo4j-apoc-procedures

@UserAggregationResult
  public List<Number> result() {
    long totalCount = values != null ? values.getTotalCount() : doubles.getTotalCount();
    boolean empty = totalCount == 0;
    List<Number> result = new ArrayList<>(percentiles.size());
    for (Double percentile : percentiles) {
      if (percentile == null || empty) {
        result.add(null);
      } else {
        if (values != null) {
          result.add(values.getValueAtPercentile(percentile * 100D));
        } else {
          result.add(doubles.getValueAtPercentile(percentile * 100D));
        }
      }
    }
    return result;
  }
}

代码示例来源：origin: neo4j-contrib/neo4j-apoc-procedures

@UserAggregationResult
  public Map<String,Number> result() {
    long totalCount = values != null ? values.getTotalCount() : doubles.getTotalCount();
    boolean empty = totalCount == 0;
    Map<String,Number> result = new LinkedHashMap<>(percentiles.size()+6);
    result.put("min",values != null ? (Number)values.getMinValue() : (Number)doubles.getMinValue());
    result.put("minNonZero",values != null ? (Number)values.getMinNonZeroValue() : (Number)doubles.getMinNonZeroValue());
    result.put("max",values != null ? (Number)values.getMaxValue() : (Number)doubles.getMaxValue());
    result.put("total",totalCount);
    result.put("mean",values != null ? values.getMean() : doubles.getMean());
    result.put("stdev",values != null ? values.getStdDeviation() : doubles.getStdDeviation());
    for (Double percentile : percentiles) {
      if (percentile != null && !empty) {
        if (values != null) {
          result.put(percentile.toString(), values.getValueAtPercentile(percentile * 100D));
        } else {
          result.put(percentile.toString(), doubles.getValueAtPercentile(percentile * 100D));
        }
      }
    }
    return result;
  }
}

代码示例来源：origin: com.github.vladimir-bukhtoyarov/rolling-metrics

@Override
public double getValue(double quantile) {
  double percentile = quantile * 100.0;
  return histogram.getValueAtPercentile(percentile);
}

代码示例来源：origin: io.reactivesocket/reactivesocket-stats-servo

@Override
  public Long getValue() {
    return histogram.getValueAtPercentile(percentile);
  }
}

代码示例来源：origin: vladimir-bukhtoyarov/rolling-metrics

@Override
public double getValue(double quantile) {
  double percentile = quantile * 100.0;
  return histogram.getValueAtPercentile(percentile);
}

代码示例来源：origin: real-logic/artio

private static double scaledPercentile(
    final Histogram histogram,
    final double scalingFactor,
    final double percentile)
  {
    return histogram.getValueAtPercentile(percentile) / scalingFactor;
  }
}

代码示例来源：origin: org.apache.pulsar/pulsar-testclient

private static void printAggregatedStats() {
  Histogram reportHistogram = cumulativeRecorder.getIntervalHistogram();
  log.info(
      "Aggregated latency stats --- Latency: mean: {} ms - med: {} - 95pct: {} - 99pct: {} - 99.9pct: {} - 99.99pct: {} - 99.999pct: {} - Max: {}",
      dec.format(reportHistogram.getMean()), (long) reportHistogram.getValueAtPercentile(50),
      (long) reportHistogram.getValueAtPercentile(95), (long) reportHistogram.getValueAtPercentile(99),
      (long) reportHistogram.getValueAtPercentile(99.9), (long) reportHistogram.getValueAtPercentile(99.99),
      (long) reportHistogram.getValueAtPercentile(99.999), (long) reportHistogram.getMaxValue());
}

代码示例来源：origin: com.yahoo.pulsar/pulsar-broker

public void updateStats() {
  topicLoadHistogram = topicLoadTimeRecorder.getIntervalHistogram(topicLoadHistogram);
  this.elapsedIntervalMs = (TimeUnit.NANOSECONDS.toMillis(System.nanoTime()) - topicLoadRecordStartTime);
  topicLoadRecordStartTime = TimeUnit.NANOSECONDS.toMillis(System.nanoTime());
  this.meanTopicLoadMs = topicLoadHistogram.getMean();
  this.medianTopicLoadMs = topicLoadHistogram.getValueAtPercentile(50);
  this.topicLoad95Ms = topicLoadHistogram.getValueAtPercentile(95);
  this.topicLoad99Ms = topicLoadHistogram.getValueAtPercentile(99);
  this.topicLoad999Ms = topicLoadHistogram.getValueAtPercentile(99.9);
  this.topicsLoad9999Ms = topicLoadHistogram.getValueAtPercentile(99.99);
  this.topicLoadCounts = topicLoadHistogram.getTotalCount();
}

代码示例来源：origin: io.lettuce/lettuce-core

private Map<Double, Long> getPercentiles(Histogram histogram) {
  Map<Double, Long> percentiles = new TreeMap<Double, Long>();
  for (double targetPercentile : options.targetPercentiles()) {
    percentiles.put(targetPercentile,
        options.targetUnit().convert(histogram.getValueAtPercentile(targetPercentile), TimeUnit.NANOSECONDS));
  }
  return percentiles;
}

代码示例来源：origin: real-logic/artio

public static void printStats(final Histogram histogram)
  {
    System.out.printf(
      "Max = %d, Mean = %f, 99.9%% = %d%n",
      histogram.getMaxValue(),
      histogram.getMean(),
      histogram.getValueAtPercentile(99.9));
  }
}

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