Examples with MetricDescriptor io.opencensus.metrics.export.MetricDescriptor used on opensource projects

Example 11 with MetricDescriptor

use of io.opencensus.metrics.export.MetricDescriptor in project instrumentation-java by census-instrumentation.

the class DropWizardMetrics method collectSnapshotAndCount.

/**
 * Returns a {@code Metric} collected from {@link Snapshot}.
 *
 * @param metricName the metric name.
 * @param metricDescription the metric description.
 * @param unit the metric descriptor unit.
 * @param codahaleSnapshot the snapshot object to collect
 * @param count the value or count
 * @return a {@code Metric}.
 */
private Metric collectSnapshotAndCount(String metricName, String metricDescription, String unit, com.codahale.metrics.Snapshot codahaleSnapshot, long count) {
    List<ValueAtPercentile> valueAtPercentiles = Arrays.asList(ValueAtPercentile.create(50.0, codahaleSnapshot.getMedian()), ValueAtPercentile.create(75.0, codahaleSnapshot.get75thPercentile()), ValueAtPercentile.create(98.0, codahaleSnapshot.get98thPercentile()), ValueAtPercentile.create(99.0, codahaleSnapshot.get99thPercentile()), ValueAtPercentile.create(99.9, codahaleSnapshot.get999thPercentile()));
    Snapshot snapshot = Snapshot.create((long) codahaleSnapshot.size(), 0.0, valueAtPercentiles);
    Point point = Point.create(Value.summaryValue(Summary.create(count, 0.0, snapshot)), clock.now());
    // TODO(mayurkale): OPTIMIZATION: Cache the MetricDescriptor objects.
    MetricDescriptor metricDescriptor = MetricDescriptor.create(metricName, metricDescription, unit, Type.SUMMARY, Collections.<LabelKey>emptyList());
    TimeSeries timeSeries = TimeSeries.createWithOnePoint(Collections.<LabelValue>emptyList(), point, cumulativeStartTimestamp);
    return Metric.createWithOneTimeSeries(metricDescriptor, timeSeries);
}

Example 12 with MetricDescriptor

use of io.opencensus.metrics.export.MetricDescriptor in project instrumentation-java by census-instrumentation.

the class DropWizardMetrics method collectGauge.

/**
 * Returns a {@code Metric} collected from {@link Gauge}.
 *
 * @param dropwizardMetric the metric name.
 * @param gauge the gauge object to collect.
 * @return a {@code Metric}.
 */
@SuppressWarnings("rawtypes")
@Nullable
private Metric collectGauge(MetricName dropwizardMetric, Gauge gauge) {
    // TODO cache dropwizard MetricName -> OC MetricDescriptor, Labels conversion
    String metricName = DropWizardUtils.generateFullMetricName(dropwizardMetric.getKey(), "gauge");
    String metricDescription = DropWizardUtils.generateFullMetricDescription(dropwizardMetric.getKey(), gauge);
    AbstractMap.SimpleImmutableEntry<List<LabelKey>, List<LabelValue>> labels = DropWizardUtils.generateLabels(dropwizardMetric);
    // Figure out which gauge instance and call the right method to get value
    Type type;
    Value value;
    Object obj = gauge.getValue();
    if (obj instanceof Number) {
        type = Type.GAUGE_DOUBLE;
        value = Value.doubleValue(((Number) obj).doubleValue());
    } else if (obj instanceof Boolean) {
        type = Type.GAUGE_INT64;
        value = Value.longValue(((Boolean) obj) ? 1 : 0);
    } else {
        // Ignoring Gauge (gauge.getKey()) with unhandled type.
        return null;
    }
    MetricDescriptor metricDescriptor = MetricDescriptor.create(metricName, metricDescription, DEFAULT_UNIT, type, labels.getKey());
    TimeSeries timeSeries = TimeSeries.createWithOnePoint(labels.getValue(), Point.create(value, clock.now()), null);
    return Metric.createWithOneTimeSeries(metricDescriptor, timeSeries);
}

Example 13 with MetricDescriptor

use of io.opencensus.metrics.export.MetricDescriptor in project instrumentation-java by census-instrumentation.

the class DropWizardMetrics method collectMeter.

/**
 * Returns a {@code Metric} collected from {@link io.dropwizard.metrics5.Meter}.
 *
 * @param dropwizardMetric the metric name.
 * @param meter the meter object to collect
 * @return a {@code Metric}.
 */
private Metric collectMeter(MetricName dropwizardMetric, Meter meter) {
    String metricName = DropWizardUtils.generateFullMetricName(dropwizardMetric.getKey(), "meter");
    String metricDescription = DropWizardUtils.generateFullMetricDescription(dropwizardMetric.getKey(), meter);
    final AbstractMap.SimpleImmutableEntry<List<LabelKey>, List<LabelValue>> labels = DropWizardUtils.generateLabels(dropwizardMetric);
    MetricDescriptor metricDescriptor = MetricDescriptor.create(metricName, metricDescription, DEFAULT_UNIT, Type.CUMULATIVE_INT64, labels.getKey());
    TimeSeries timeSeries = TimeSeries.createWithOnePoint(labels.getValue(), Point.create(Value.longValue(meter.getCount()), clock.now()), cumulativeStartTimestamp);
    return Metric.createWithOneTimeSeries(metricDescriptor, timeSeries);
}

Example 14 with MetricDescriptor

use of io.opencensus.metrics.export.MetricDescriptor in project instrumentation-java by census-instrumentation.

the class DerivedLongCumulativeImplTest method withConstantLabels.

@Test
public void withConstantLabels() {
    List<LabelKey> labelKeys = Arrays.asList(LabelKey.create("key1", "desc"), LabelKey.create("key2", "desc"));
    List<LabelValue> labelValues = Arrays.asList(LabelValue.create("value1"), LabelValue.create("value2"));
    LabelKey constantKey = LabelKey.create("constant_key", "desc");
    LabelValue constantValue = LabelValue.create("constant_value");
    Map<LabelKey, LabelValue> constantLabels = Collections.<LabelKey, LabelValue>singletonMap(constantKey, constantValue);
    DerivedLongCumulativeImpl derivedLongCumulative2 = new DerivedLongCumulativeImpl(METRIC_NAME, METRIC_DESCRIPTION, METRIC_UNIT, labelKeys, constantLabels, START_TIME);
    derivedLongCumulative2.createTimeSeries(labelValues, new QueueManager(), queueManagerFunction);
    testClock.advanceTime(ONE_MINUTE);
    Timestamp endTime = testClock.now();
    List<LabelKey> allKeys = new ArrayList<>(labelKeys);
    allKeys.add(constantKey);
    MetricDescriptor expectedDescriptor = MetricDescriptor.create(METRIC_NAME, METRIC_DESCRIPTION, METRIC_UNIT, Type.CUMULATIVE_INT64, allKeys);
    List<LabelValue> allValues = new ArrayList<>(labelValues);
    allValues.add(constantValue);
    TimeSeries expectedTimeSeries = TimeSeries.createWithOnePoint(allValues, Point.create(Value.longValue(3), endTime), START_TIME);
    Metric metric = derivedLongCumulative2.getMetric(testClock);
    assertThat(metric).isNotNull();
    assertThat(metric.getMetricDescriptor()).isEqualTo(expectedDescriptor);
    assertThat(metric.getTimeSeriesList()).containsExactly(expectedTimeSeries);
    derivedLongCumulative2.removeTimeSeries(labelValues);
    Metric metric2 = derivedLongCumulative2.getMetric(testClock);
    assertThat(metric2).isNull();
}

Example 15 with MetricDescriptor

use of io.opencensus.metrics.export.MetricDescriptor in project instrumentation-java by census-instrumentation.

the class DoubleCumulativeImplTest method withConstantLabels.

@Test
public void withConstantLabels() {
    List<LabelKey> labelKeys = Arrays.asList(LabelKey.create("key1", "desc"), LabelKey.create("key2", "desc"));
    List<LabelValue> labelValues = Arrays.asList(LabelValue.create("value1"), LabelValue.create("value2"));
    LabelKey constantKey = LabelKey.create("constant_key", "desc");
    LabelValue constantValue = LabelValue.create("constant_value");
    Map<LabelKey, LabelValue> constantLabels = Collections.<LabelKey, LabelValue>singletonMap(constantKey, constantValue);
    DoubleCumulativeImpl doubleCumulative = new DoubleCumulativeImpl(METRIC_NAME, METRIC_DESCRIPTION, METRIC_UNIT, labelKeys, constantLabels, START_TIME);
    DoublePoint doublePoint = doubleCumulative.getOrCreateTimeSeries(labelValues);
    doublePoint.add(1);
    doublePoint.add(2);
    DoublePoint defaultPoint = doubleCumulative.getDefaultTimeSeries();
    defaultPoint.add(100);
    List<LabelKey> allKeys = new ArrayList<>(labelKeys);
    allKeys.add(constantKey);
    MetricDescriptor expectedDescriptor = MetricDescriptor.create(METRIC_NAME, METRIC_DESCRIPTION, METRIC_UNIT, Type.CUMULATIVE_DOUBLE, allKeys);
    testClock.advanceTime(ONE_MINUTE);
    Timestamp endTime = testClock.now();
    List<LabelValue> allValues = new ArrayList<>(labelValues);
    allValues.add(constantValue);
    List<TimeSeries> expectedTimeSeriesList = new ArrayList<TimeSeries>();
    TimeSeries defaultTimeSeries = TimeSeries.createWithOnePoint(Arrays.asList(UNSET_VALUE, UNSET_VALUE, constantValue), Point.create(Value.doubleValue(100), endTime), START_TIME);
    expectedTimeSeriesList.add(TimeSeries.createWithOnePoint(allValues, Point.create(Value.doubleValue(3), endTime), START_TIME));
    expectedTimeSeriesList.add(defaultTimeSeries);
    Metric metric = doubleCumulative.getMetric(testClock);
    assertThat(metric).isNotNull();
    assertThat(metric.getMetricDescriptor()).isEqualTo(expectedDescriptor);
    assertThat(metric.getTimeSeriesList().size()).isEqualTo(2);
    assertThat(metric.getTimeSeriesList()).containsExactlyElementsIn(expectedTimeSeriesList);
    doubleCumulative.removeTimeSeries(labelValues);
    Metric metric2 = doubleCumulative.getMetric(testClock);
    assertThat(metric2).isNotNull();
    assertThat(metric2.getTimeSeriesList()).containsExactly(defaultTimeSeries);
}