Java Snapshot類代碼示例

import com.codahale.metrics.Snapshot; //導入依賴的package包/類
/**
 * Returns a snapshot of the decaying values in this reservoir.
 *
 * Non-decaying reservoir will not be included in the snapshot.
 *
 * @return the snapshot
 */
public Snapshot getSnapshot()
{
    rescaleIfNeeded();

    lockForRegularUsage();

    try
    {
        return new EstimatedHistogramReservoirSnapshot(this);
    }
    finally
    {
        unlockForRegularUsage();
    }
}
 

import com.codahale.metrics.Snapshot; //導入依賴的package包/類
private void reportSnapshot(TagEncodedMetricName metric, Snapshot snapshot) {
  addDataPoint(metric.submetric("duration.min"), convertDuration(snapshot.getMin()));
  addDataPoint(metric.submetric("duration.max"), convertDuration(snapshot.getMax()));
  addDataPoint(metric.submetric("duration.mean"), convertDuration(snapshot.getMean()));
  addDataPoint(metric.submetric("duration.stddev"), convertDuration(snapshot.getStdDev()));
  addDataPoint(metric.submetric("duration").withTags("quantile", "p50"),
      convertDuration(snapshot.getMedian()));
  addDataPoint(metric.submetric("duration").withTags("quantile", "p75"),
      convertDuration(snapshot.get75thPercentile()));
  addDataPoint(metric.submetric("duration").withTags("quantile", "p95"),
      convertDuration(snapshot.get95thPercentile()));
  addDataPoint(metric.submetric("duration").withTags("quantile", "p98"),
      convertDuration(snapshot.get98thPercentile()));
  addDataPoint(metric.submetric("duration").withTags("quantile", "p99"),
      convertDuration(snapshot.get99thPercentile()));
  addDataPoint(metric.submetric("duration").withTags("quantile", "p999"),
      convertDuration(snapshot.get999thPercentile()));
}
 

import com.codahale.metrics.Snapshot; //導入依賴的package包/類
/**
 * Build an {@link InfluxDbMeasurement} from a histogram.
 */
@VisibleForTesting InfluxDbMeasurement fromHistogram(final String metricName, final Histogram h, final long timestamp) {
  final Snapshot snapshot = h.getSnapshot();
  final DropwizardMeasurement measurement = parser.parse(metricName);

  final Map<String, String> tags = new HashMap<>(baseTags);
  tags.putAll(measurement.tags());

  return new InfluxDbMeasurement.Builder(measurement.name(), timestamp)
    .putTags(tags)
    .putField("count", snapshot.size())
    .putField("min", snapshot.getMin())
    .putField("max", snapshot.getMax())
    .putField("mean", snapshot.getMean())
    .putField("std-dev", snapshot.getStdDev())
    .putField("50-percentile", snapshot.getMedian())
    .putField("75-percentile", snapshot.get75thPercentile())
    .putField("95-percentile", snapshot.get95thPercentile())
    .putField("99-percentile", snapshot.get99thPercentile())
    .putField("999-percentile", snapshot.get999thPercentile())
    .putField("run-count", h.getCount())
    .build();
}
 

import com.codahale.metrics.Snapshot; //導入依賴的package包/類
@Override
public void serialize(JsonHistogram jsonHistogram,
                      JsonGenerator json,
                      SerializerProvider provider) throws IOException {
    json.writeStartObject();
    json.writeStringField("name", jsonHistogram.name());
    json.writeObjectField(timestampFieldname, jsonHistogram.timestampAsDate());
    Histogram histogram = jsonHistogram.value();

    final Snapshot snapshot = histogram.getSnapshot();
    json.writeNumberField("count", histogram.getCount());
    json.writeNumberField("max", snapshot.getMax());
    json.writeNumberField("mean", snapshot.getMean());
    json.writeNumberField("min", snapshot.getMin());
    json.writeNumberField("p50", snapshot.getMedian());
    json.writeNumberField("p75", snapshot.get75thPercentile());
    json.writeNumberField("p95", snapshot.get95thPercentile());
    json.writeNumberField("p98", snapshot.get98thPercentile());
    json.writeNumberField("p99", snapshot.get99thPercentile());
    json.writeNumberField("p999", snapshot.get999thPercentile());

    json.writeNumberField("stddev", snapshot.getStdDev());
    addOneOpsMetadata(json);
    json.writeEndObject();
}
 

import com.codahale.metrics.Snapshot; //導入依賴的package包/類
/** */
private void reportTimer(String timestamp, String name, Timer timer) {
    final Snapshot snapshot = timer.getSnapshot();

    report(timestamp,
        name,
        "count,max,mean,min,stddev,p50,p75,p95,p98,p99,p999,mean_rate,m1_rate,m5_rate,m15_rate,rate_unit,duration_unit",
        "%d,%f,%f,%f,%f,%f,%f,%f,%f,%f,%f,%f,%f,%f,%f,calls/%s,%s",
        timer.getCount(),
        convertDuration(snapshot.getMax()),
        convertDuration(snapshot.getMean()),
        convertDuration(snapshot.getMin()),
        convertDuration(snapshot.getStdDev()),
        convertDuration(snapshot.getMedian()),
        convertDuration(snapshot.get75thPercentile()),
        convertDuration(snapshot.get95thPercentile()),
        convertDuration(snapshot.get98thPercentile()),
        convertDuration(snapshot.get99thPercentile()),
        convertDuration(snapshot.get999thPercentile()),
        convertRate(timer.getMeanRate()),
        convertRate(timer.getOneMinuteRate()),
        convertRate(timer.getFiveMinuteRate()),
        convertRate(timer.getFifteenMinuteRate()),
        getRateUnit(),
        getDurationUnit());
}
 

import com.codahale.metrics.Snapshot; //導入依賴的package包/類
/** */
private void reportHistogram(String timestamp, String name, Histogram histogram) {
    final Snapshot snapshot = histogram.getSnapshot();

    report(timestamp,
        name,
        "count,max,mean,min,stddev,p50,p75,p90,p95,p98,p99,p999",
        "%d,%d,%f,%d,%f,%f,%f,%f,%f,%f,%f,%f",
        histogram.getCount(),
        snapshot.getMax(),
        snapshot.getMean(),
        snapshot.getMin(),
        snapshot.getStdDev(),
        snapshot.getMedian(),
        snapshot.get75thPercentile(),
        snapshot.getValue(0.9), // Add 90-th percentile to report.
        snapshot.get95thPercentile(),
        snapshot.get98thPercentile(),
        snapshot.get99thPercentile(),
        snapshot.get999thPercentile());
}
 

import com.codahale.metrics.Snapshot; //導入依賴的package包/類
private void writeSnapshotAndCount(String dropwizardName, Snapshot snapshot, long count, double factor, MetricType type, String helpMessage) throws IOException {
    String name = sanitizeMetricName(dropwizardName);
    writer.writeHelp(name, helpMessage);
    writer.writeType(name, type);
    writer.writeSample(name, mapOf("quantile", "0.5"), snapshot.getMedian() * factor);
    writer.writeSample(name, mapOf("quantile", "0.75"), snapshot.get75thPercentile() * factor);
    writer.writeSample(name, mapOf("quantile", "0.95"), snapshot.get95thPercentile() * factor);
    writer.writeSample(name, mapOf("quantile", "0.98"), snapshot.get98thPercentile() * factor);
    writer.writeSample(name, mapOf("quantile", "0.99"), snapshot.get99thPercentile() * factor);
    writer.writeSample(name, mapOf("quantile", "0.999"), snapshot.get999thPercentile() * factor);
    writer.writeSample(name + "_min", emptyMap(), snapshot.getMin());
    writer.writeSample(name + "_max", emptyMap(), snapshot.getMax());
    writer.writeSample(name + "_median", emptyMap(), snapshot.getMedian());
    writer.writeSample(name + "_mean", emptyMap(), snapshot.getMean());
    writer.writeSample(name + "_stddev", emptyMap(), snapshot.getStdDev());
    writer.writeSample(name + "_count", emptyMap(), count);
}
 

import com.codahale.metrics.Snapshot; //導入依賴的package包/類
private void reportHistogram(JsonGenerator jsonGenerator, Entry<String, Histogram> entry, String timestampString) {
	try {
		writeStartMetric(entry.getKey(), jsonGenerator, timestampString);
		jsonGenerator.writeStartObject();
		final Histogram histogram = entry.getValue();
		final Snapshot snapshot = histogram.getSnapshot();
		jsonGenerator.writeNumberField("count", histogram.getCount());
		jsonGenerator.writeNumberField("min", convertDuration(snapshot.getMin()));
		jsonGenerator.writeNumberField("max", convertDuration(snapshot.getMax()));
		jsonGenerator.writeNumberField("mean", convertDuration(snapshot.getMean()));
		jsonGenerator.writeNumberField("stddev", convertDuration(snapshot.getStdDev()));
		jsonGenerator.writeNumberField("median", convertDuration(snapshot.getMedian()));
		jsonGenerator.writeNumberField("75th percentile", convertDuration(snapshot.get75thPercentile()));
		jsonGenerator.writeNumberField("95th percentile", convertDuration(snapshot.get95thPercentile()));
		jsonGenerator.writeNumberField("98th percentile", convertDuration(snapshot.get98thPercentile()));
		jsonGenerator.writeNumberField("99th percentile", convertDuration(snapshot.get99thPercentile()));
		jsonGenerator.writeNumberField("999th percentile", convertDuration(snapshot.get999thPercentile()));

		jsonGenerator.writeEndObject();
		writeEndMetric(jsonGenerator);

	} catch (IOException ioe) {
		LOGGER.error("Exception writing metrics to Elasticsearch index: " + ioe.toString());
	}

}
 

import com.codahale.metrics.Snapshot; //導入依賴的package包/類
/**
 * The {@link Snapshot} values of {@link Timer} are reported as {@link StatisticSet} after conversion. The
 * conversion is done using the duration factor, which is deduced from the set duration unit.
 * <p>
 * Please note, the reported values submitted only if they show some data (greater than zero) in order to:
 * <p>
 * 1. save some money
 * 2. prevent com.amazonaws.services.cloudwatch.model.InvalidParameterValueException if empty {@link Snapshot}
 * is submitted
 * <p>
 * If {@link Builder#withZeroValuesSubmission()} is {@code true}, then all values will be submitted
 *
 * @see Timer#getSnapshot
 * @see #getDurationUnit
 * @see #convertDuration(double)
 */
private void processTimer(final String metricName, final Timer timer, final List<MetricDatum> metricData) {
    final Snapshot snapshot = timer.getSnapshot();

    if (builder.withZeroValuesSubmission || snapshot.size() > 0) {
        for (final Percentile percentile : builder.percentiles) {
            final double convertedDuration = convertDuration(snapshot.getValue(percentile.getQuantile()));
            stageMetricDatum(true, metricName, convertedDuration, durationUnit, percentile.getDesc(), metricData);
        }
    }

    // prevent empty snapshot from causing InvalidParameterValueException
    if (snapshot.size() > 0) {
        final String formattedDuration = String.format(" [in-%s]", getDurationUnit());
        stageMetricDatum(builder.withArithmeticMean, metricName, convertDuration(snapshot.getMean()), durationUnit, DIMENSION_SNAPSHOT_MEAN + formattedDuration, metricData);
        stageMetricDatum(builder.withStdDev, metricName, convertDuration(snapshot.getStdDev()), durationUnit, DIMENSION_SNAPSHOT_STD_DEV + formattedDuration, metricData);
        stageMetricDatumWithConvertedSnapshot(builder.withStatisticSet, metricName, snapshot, durationUnit, metricData);
    }
}
 

import com.codahale.metrics.Snapshot; //導入依賴的package包/類
/**
 * The {@link Snapshot} values of {@link Histogram} are reported as {@link StatisticSet} raw. In other words, the
 * conversion using the duration factor does NOT apply.
 * <p>
 * Please note, the reported values submitted only if they show some data (greater than zero) in order to:
 * <p>
 * 1. save some money
 * 2. prevent com.amazonaws.services.cloudwatch.model.InvalidParameterValueException if empty {@link Snapshot}
 * is submitted
 * <p>
 * If {@link Builder#withZeroValuesSubmission()} is {@code true}, then all values will be submitted
 *
 * @see Histogram#getSnapshot
 */
private void processHistogram(final String metricName, final Histogram histogram, final List<MetricDatum> metricData) {
    final Snapshot snapshot = histogram.getSnapshot();

    if (builder.withZeroValuesSubmission || snapshot.size() > 0) {
        for (final Percentile percentile : builder.percentiles) {
            final double value = snapshot.getValue(percentile.getQuantile());
            stageMetricDatum(true, metricName, value, StandardUnit.None, percentile.getDesc(), metricData);
        }
    }

    // prevent empty snapshot from causing InvalidParameterValueException
    if (snapshot.size() > 0) {
        stageMetricDatum(builder.withArithmeticMean, metricName, snapshot.getMean(), StandardUnit.None, DIMENSION_SNAPSHOT_MEAN, metricData);
        stageMetricDatum(builder.withStdDev, metricName, snapshot.getStdDev(), StandardUnit.None, DIMENSION_SNAPSHOT_STD_DEV, metricData);
        stageMetricDatumWithRawSnapshot(builder.withStatisticSet, metricName, snapshot, StandardUnit.None, metricData);
    }
}
 

import com.codahale.metrics.Snapshot; //導入依賴的package包/類
private void stageMetricDatumWithConvertedSnapshot(final boolean metricConfigured,
                                                   final String metricName,
                                                   final Snapshot snapshot,
                                                   final StandardUnit standardUnit,
                                                   final List<MetricDatum> metricData) {
    if (metricConfigured) {
        double scaledSum = convertDuration(LongStream.of(snapshot.getValues()).sum());
        final StatisticSet statisticSet = new StatisticSet()
                .withSum(scaledSum)
                .withSampleCount((double) snapshot.size())
                .withMinimum(convertDuration(snapshot.getMin()))
                .withMaximum(convertDuration(snapshot.getMax()));

        final Set<Dimension> dimensions = new LinkedHashSet<>(builder.globalDimensions);
        dimensions.add(new Dimension().withName(DIMENSION_NAME_TYPE).withValue(DIMENSION_SNAPSHOT_SUMMARY));

        metricData.add(new MetricDatum()
                .withTimestamp(new Date(builder.clock.getTime()))
                .withMetricName(metricName)
                .withDimensions(dimensions)
                .withStatisticValues(statisticSet)
                .withUnit(standardUnit));
    }
}
 

import com.codahale.metrics.Snapshot; //導入依賴的package包/類
private void stageMetricDatumWithRawSnapshot(final boolean metricConfigured,
                                             final String metricName,
                                             final Snapshot snapshot,
                                             final StandardUnit standardUnit,
                                             final List<MetricDatum> metricData) {
    if (metricConfigured) {
        double total = LongStream.of(snapshot.getValues()).sum();
        final StatisticSet statisticSet = new StatisticSet()
                .withSum(total)
                .withSampleCount((double) snapshot.size())
                .withMinimum((double) snapshot.getMin())
                .withMaximum((double) snapshot.getMax());

        final Set<Dimension> dimensions = new LinkedHashSet<>(builder.globalDimensions);
        dimensions.add(new Dimension().withName(DIMENSION_NAME_TYPE).withValue(DIMENSION_SNAPSHOT_SUMMARY));

        metricData.add(new MetricDatum()
                .withTimestamp(new Date(builder.clock.getTime()))
                .withMetricName(metricName)
                .withDimensions(dimensions)
                .withStatisticValues(statisticSet)
                .withUnit(standardUnit));
    }
}
 

import com.codahale.metrics.Snapshot; //導入依賴的package包/類
private void reportHistogram(String name, Histogram histogram) throws IOException {
    final Snapshot snapshot = histogram.getSnapshot();
    statsdClient.send(prefix(name, "count"),
            format(histogram.getCount()),
            StatsdClient.StatType.GAUGE);
    statsdClient.send(prefix(name, "max"),
            format(snapshot.getMax()),
            StatsdClient.StatType.TIMER);
    statsdClient.send(prefix(name, "mean"),
            format(snapshot.getMean()),
            StatsdClient.StatType.TIMER);

    statsdClient.send(prefix(name, "p95"),
            format(snapshot.get95thPercentile()),
            StatsdClient.StatType.TIMER);

}
 

import com.codahale.metrics.Snapshot; //導入依賴的package包/類
private String formatSamplingSnapshot(String name, Snapshot snapshot, long timestamp, boolean convertValuesToDurations) {
    StringBuilder outputBuilder = new StringBuilder();

    outputBuilder.append(formatLine(MetricNamingUtil.join(name, "max"), convertValuesToDurations ? convertDuration(snapshot.getMax()) : snapshot.getMax(), timestamp));
    outputBuilder.append(formatLine(MetricNamingUtil.join(name, "mean"), convertValuesToDurations ? convertDuration(snapshot.getMean()) : snapshot.getMean(), timestamp));
    outputBuilder.append(formatLine(MetricNamingUtil.join(name, "min"), convertValuesToDurations ? convertDuration(snapshot.getMin()) : snapshot.getMin(), timestamp));
    outputBuilder.append(formatLine(MetricNamingUtil.join(name, "stddev"), convertValuesToDurations ? convertDuration(snapshot.getStdDev()) : snapshot.getStdDev(), timestamp));
    outputBuilder.append(formatLine(MetricNamingUtil.join(name, "p50"), convertValuesToDurations ? convertDuration(snapshot.getMedian()) : snapshot.getMedian(), timestamp));
    outputBuilder.append(formatLine(MetricNamingUtil.join(name, "p75"), convertValuesToDurations ? convertDuration(snapshot.get75thPercentile()) : snapshot.get75thPercentile(), timestamp));
    outputBuilder.append(formatLine(MetricNamingUtil.join(name, "p95"), convertValuesToDurations ? convertDuration(snapshot.get95thPercentile()) : snapshot.get95thPercentile(), timestamp));
    outputBuilder.append(formatLine(MetricNamingUtil.join(name, "p98"), convertValuesToDurations ? convertDuration(snapshot.get98thPercentile()) : snapshot.get98thPercentile(), timestamp));
    outputBuilder.append(formatLine(MetricNamingUtil.join(name, "p99"), convertValuesToDurations ? convertDuration(snapshot.get99thPercentile()) : snapshot.get99thPercentile(), timestamp));
    outputBuilder.append(formatLine(MetricNamingUtil.join(name, "p999"), convertValuesToDurations ? convertDuration(snapshot.get999thPercentile()) : snapshot.get999thPercentile(), timestamp));

    return outputBuilder.toString();
}
 

import com.codahale.metrics.Snapshot; //導入依賴的package包/類
@Override
public JsonElement serialize(Timer timer, Type typeOfSrc, JsonSerializationContext context) {
    JsonObject json = new JsonObject();
    final Snapshot snapshot = timer.getSnapshot();
    json.addProperty("count", timer.getCount());
    json.addProperty("max", snapshot.getMax() * DURATION_FACTOR);
    json.addProperty("mean", snapshot.getMean() * DURATION_FACTOR);
    json.addProperty("min", snapshot.getMin() * DURATION_FACTOR);

    json.addProperty("p50", snapshot.getMedian() * DURATION_FACTOR);
    json.addProperty("p75", snapshot.get75thPercentile() * DURATION_FACTOR);
    json.addProperty("p95", snapshot.get95thPercentile() * DURATION_FACTOR);
    json.addProperty("p98", snapshot.get98thPercentile() * DURATION_FACTOR);
    json.addProperty("p99", snapshot.get99thPercentile() * DURATION_FACTOR);
    json.addProperty("p999", snapshot.get999thPercentile() * DURATION_FACTOR);

    json.addProperty("stddev", snapshot.getStdDev() * DURATION_FACTOR);
    json.addProperty("m15_rate", timer.getFifteenMinuteRate());
    json.addProperty("m1_rate", timer.getOneMinuteRate());
    json.addProperty("m5_rate", timer.getFiveMinuteRate());
    json.addProperty("mean_rate", timer.getMeanRate());
    json.addProperty("duration_units", "seconds");
    json.addProperty("rate_units", "calls/second");
    return json;
}