Java Histogram類代碼示例

import com.codahale.metrics.Histogram; //導入依賴的package包/類
@Override
public void report(final SortedMap<String, Gauge> gauges,
                   final SortedMap<String, Counter> counters,
                   final SortedMap<String, Histogram> histograms,
                   final SortedMap<String, Meter> meters,
                   final SortedMap<String, Timer> timers) {
  final long timestamp = clock.instant().toEpochMilli();

  final ImmutableList<InfluxDbMeasurement> influxDbMeasurements = ImmutableList.<InfluxDbMeasurement>builder()
    .addAll(transformer.fromGauges(gauges, timestamp))
    .addAll(transformer.fromCounters(counters, timestamp))
    .addAll(transformer.fromHistograms(histograms, timestamp))
    .addAll(transformer.fromMeters(meters, timestamp))
    .addAll(transformer.fromTimers(timers, timestamp))
    .build();

  sender.send(influxDbMeasurements);
}
 

import com.codahale.metrics.Histogram; //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.Histogram; //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.Histogram; //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.Histogram; //導入依賴的package包/類
/**
 * Intercept all GRPC calls
 * @param serverCall
 * @param metadata
 * @param serverCallHandler
 * @param <ReqT>
 * @param <RespT>
 * @return
 */
@Override
public <ReqT, RespT> ServerCall.Listener<ReqT> interceptCall(final ServerCall<ReqT, RespT> serverCall, Metadata metadata, ServerCallHandler<ReqT, RespT> serverCallHandler) {

    Timer.Context timer = metricRegistry.timer(metricName(M_REQ_TIME, serverCall.getMethodDescriptor().getFullMethodName().replace("/", "."))).time();
    Histogram histogram = metricRegistry.histogram(metricName(M_RESPONSE_SIZE, serverCall.getMethodDescriptor().getFullMethodName().replace("/", ".")));

    SimpleForwardingServerCall<ReqT, RespT> nextCall = new SimpleForwardingServerCall<ReqT, RespT>(serverCall) {
        @Override
        public void close(Status status, Metadata trailers) {
            Meter errorMeter = metricRegistry.meter(metricName(ERROR_METRIC, getMethodDescriptor().getFullMethodName().replace("/", ".")));
            if (!status.isOk()) {
                errorMeter.mark();
                log.error("An error occured with {}", serverCall.getMethodDescriptor());
            }

            timer.stop();

            super.close(status, trailers);
        }

        @Override
        public void sendMessage(RespT message) {
            super.sendMessage(message);

            if (message instanceof MessageLite) {
                histogram.update(((MessageLite) message).getSerializedSize());
                log.info("Message sent size = {}", ((MessageLite) message).getSerializedSize());
            }
        }

    };
    return serverCallHandler.startCall(nextCall, metadata);
}
 

import com.codahale.metrics.Histogram; //導入依賴的package包/類
/**
 * A histogram measures the statistical distribution of values in a stream of data. In addition
 * to minimum, maximum, mean, etc., it also measures median, 75th, 90th, 95th, 98th, 99th, and
 * 99.9th percentiles. This histogram will measure the size of responses in bytes.
 */
private static void reportHistogram() {
    // Create or fetch (if it is already created) the metric.
    final Histogram histogram = registry.histogram(
        APP_PREFIX.tagged("what", "response-size").tagged("endpoint", "/v1/content"));

    // fetch the size of the response
    final long responseSize = 1000;
    // obviously this is gonna keep reporting 1000, but you know ;)

    histogram.update(responseSize);

    // That's it! The rest will be automatically done inside semantic metrics library. The
    // reported measurements will be kept in the registry.
    // Every time the reporter wants to report, different stats and aggregations (min, max,
    // median, 75th, 90th, 95th, 98th, 99th, and 99.9th percentiles) will be calculated and
    // datapoints will be created and reported.
}
 

import com.codahale.metrics.Histogram; //導入依賴的package包/類
public static void main(String[] args) throws IOException {
    FastForwardReporter f = FastForwardReporter
        .forRegistry(registry)
        .histogramQuantiles(0.62, 0.55, 0.99)
        .schedule(TimeUnit.SECONDS, 10)
        .build();
    f.start();

    Histogram h = registry.histogram(APP_PREFIX.tagged("what", "stuff"));

    for (int i = 0; i < 100; i++) {
        h.update(i);
    }

    System.out.println("Sending custom percentiles for histogram...");
    System.in.read();
    f.stop();
}
 

import com.codahale.metrics.Histogram; //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.Histogram; //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.Histogram; //導入依賴的package包/類
private void updateMetrics(MetricsMessageCollection messageCollection) {
    List<MetricsMessage> messages = messageCollection.getMessages();
    for (MetricsMessage message : messages) {
        List<KeyValuePair> pairs = message.getHeaders();
        for (KeyValuePair pair : pairs) {
            String key = pair.getKey();
            for (KeyValuePair keyValuePair : message.getHeaders()) {
                Histogram histogram = metricsRegistry.histogram(HISTOGRAM + key);
                if (keyValuePair.getValueType() == ValueType.DECIMAL && keyValuePair.getDecimalValue()!= null) {
                    histogram.update(Long.valueOf(keyValuePair.getDecimalValue().intValue()));
                } else if (keyValuePair.getValueType() == ValueType.LONG && keyValuePair.getLongValue()!= null) {
                    histogram.update(keyValuePair.getLongValue());
                } else if (keyValuePair.getValueType() == ValueType.INTEGER && keyValuePair.getIntValue()!= null) {
                    histogram.update(keyValuePair.getIntValue());
                }
            }
        }
    }
}
 

import com.codahale.metrics.Histogram; //導入依賴的package包/類
@DataProvider(value = {
    "null",
    "0",
    "1",
    "2"
}, splitBy = "\\|")
@Test
public void getNamedHistogram_with_iterable_dimensions_creates_dimensioned_histogram_using_sfx_mechanisms(
    Integer numDimensions
) {
    // given
    String histogramName = UUID.randomUUID().toString();
    List<Pair<String, String>> iterableDims = generateIterableDimensions(numDimensions);

    // when
    Histogram result = sfxImpl.getNamedHistogram(histogramName, iterableDims);

    // then
    verifyMetricCreation(histogramBuilderMock, histogramTaggerMock, histogramName, iterableDims, histogramMock, result);
}
 

import com.codahale.metrics.Histogram; //導入依賴的package包/類
@DataProvider(value = {
    "42     |   DAYS",
    "123    |   SECONDS",
    "999    |   MILLISECONDS",
    "3      |   HOURS"
}, splitBy = "\\|")
@Test
public void RollingWindowTimerBuilder_newMetric_creates_new_timer_with_SlidingTimeWindowReservoir_with_expected_values(
    long amount, TimeUnit timeUnit
) {
    // given
    RollingWindowTimerBuilder rwtb = new RollingWindowTimerBuilder(amount, timeUnit);

    // when
    Timer timer = rwtb.newMetric();

    // then
    Histogram histogram = (Histogram) getInternalState(timer, "histogram");
    Reservoir reservoir = (Reservoir) getInternalState(histogram, "reservoir");
    assertThat(reservoir).isInstanceOf(SlidingTimeWindowReservoir.class);
    // The expected value here comes from logic in the SlidingTimeWindowReservoir constructor.
    assertThat(getInternalState(reservoir, "window")).isEqualTo(timeUnit.toNanos(amount) * 256);
}
 

import com.codahale.metrics.Histogram; //導入依賴的package包/類
@DataProvider(value = {
    "42     |   DAYS",
    "123    |   SECONDS",
    "999    |   MILLISECONDS",
    "3      |   HOURS"
}, splitBy = "\\|")
@Test
public void RollingWindowHistogramBuilder_newMetric_creates_new_histogram_with_SlidingTimeWindowReservoir_with_expected_values(
    long amount, TimeUnit timeUnit
) {
    // given
    RollingWindowHistogramBuilder rwhb = new RollingWindowHistogramBuilder(amount, timeUnit);

    // when
    Histogram histogram = rwhb.newMetric();

    // then
    Reservoir reservoir = (Reservoir) getInternalState(histogram, "reservoir");
    assertThat(reservoir).isInstanceOf(SlidingTimeWindowReservoir.class);
    // The expected value here comes from logic in the SlidingTimeWindowReservoir constructor.
    assertThat(getInternalState(reservoir, "window")).isEqualTo(timeUnit.toNanos(amount) * 256);
}
 

import com.codahale.metrics.Histogram; //導入依賴的package包/類
@DataProvider(value = {
    "true   |   true",
    "false  |   false"
}, splitBy = "\\|")
@Test
public void RollingWindowHistogramBuilder_isInstance_works_as_expected(boolean useHistogram, boolean expectedResult) {
    // given
    Metric metric = (useHistogram) ? mock(Histogram.class) : mock(Gauge.class);
    RollingWindowHistogramBuilder rwhb = new RollingWindowHistogramBuilder(42, TimeUnit.DAYS);

    // when
    boolean result = rwhb.isInstance(metric);

    // then
    assertThat(result).isEqualTo(expectedResult);
}
 

import com.codahale.metrics.Histogram; //導入依賴的package包/類
private void notifyListenerOfAddedMetric(
	final MetricRegistryListener listener, final Metric metric, final String name
) {
	if(metric instanceof Gauge) {
		listener.onGaugeAdded(name, (Gauge<?>) metric);
	} else if(metric instanceof Counter) {
		listener.onCounterAdded(name, (Counter) metric);
	} else if(metric instanceof Histogram) {
		listener.onHistogramAdded(name, (Histogram) metric);
	} else if(metric instanceof Meter) {
		listener.onMeterAdded(name, (Meter) metric);
	} else if(metric instanceof Timer) {
		listener.onTimerAdded(name, (Timer) metric);
	} else {
		throw new IllegalArgumentException("Unsupported metric type: " + metric.getClass());
	}
}