Search in sources :

Example 6 with LabelKey

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

the class DropWizardMetricsTest method collect.

@Test
public void collect() throws InterruptedException {
    // create dropwizard metrics
    Map<String, String> tags = new HashMap<>();
    tags.put("tag1", "value1");
    tags.put("tag2", "value2");
    List<LabelKey> labelKeys = new ArrayList<>();
    List<LabelValue> labelValues = new ArrayList<>();
    for (Map.Entry<String, String> e : tags.entrySet()) {
        labelKeys.add(LabelKey.create(e.getKey(), e.getKey()));
        labelValues.add(LabelValue.create(e.getValue()));
    }
    Counter evictions = metricRegistry.counter(new MetricName("cache_evictions", tags));
    evictions.inc();
    evictions.inc(3);
    evictions.dec();
    evictions.dec(2);
    metricRegistry.gauge(new MetricName("boolean_gauge", tags), BooleanGauge::new);
    metricRegistry.gauge(new MetricName("double_gauge", tags), DoubleGauge::new);
    metricRegistry.gauge(new MetricName("float_gauge", tags), FloatGauge::new);
    metricRegistry.gauge(new MetricName("integer_gauge", tags), IntegerGauge::new);
    metricRegistry.gauge(new MetricName("long_gauge", tags), LongGauge::new);
    metricRegistry.gauge(new MetricName("notags_boolean_gauge", Collections.emptyMap()), BooleanGauge::new);
    Meter getRequests = metricRegistry.meter(new MetricName("get_requests", tags));
    getRequests.mark();
    getRequests.mark();
    Histogram resultCounts = metricRegistry.histogram(new MetricName("result", tags));
    resultCounts.update(200);
    Timer timer = metricRegistry.timer(new MetricName("requests", tags));
    Timer.Context context = timer.time();
    Thread.sleep(1L);
    context.stop();
    ArrayList<Metric> metrics = new ArrayList<>(dropWizardMetrics.getMetrics());
    assertThat(metrics.size()).isEqualTo(10);
    assertThat(metrics.get(0).getMetricDescriptor()).isEqualTo(MetricDescriptor.create("dropwizard5_cache_evictions_counter", "Collected from dropwizard5 (metric=cache_evictions, " + "type=io.dropwizard.metrics5.Counter)", DEFAULT_UNIT, Type.GAUGE_INT64, labelKeys));
    assertThat(metrics.get(0).getTimeSeriesList().size()).isEqualTo(1);
    assertThat(metrics.get(0).getTimeSeriesList().get(0).getLabelValues().size()).isEqualTo(tags.size());
    assertThat(metrics.get(0).getTimeSeriesList().get(0).getLabelValues()).isEqualTo(labelValues);
    assertThat(metrics.get(0).getTimeSeriesList().get(0).getPoints().size()).isEqualTo(1);
    assertThat(metrics.get(0).getTimeSeriesList().get(0).getPoints().get(0).getValue()).isEqualTo(Value.longValue(1));
    assertThat(metrics.get(0).getTimeSeriesList().get(0).getStartTimestamp()).isNull();
    // boolean gauge with tags
    assertThat(metrics.get(1).getMetricDescriptor()).isEqualTo(MetricDescriptor.create("dropwizard5_boolean_gauge_gauge", "Collected from dropwizard5 (metric=boolean_gauge, " + "type=io.opencensus.contrib.dropwizard5.DropWizardMetricsTest$BooleanGauge)", DEFAULT_UNIT, Type.GAUGE_INT64, labelKeys));
    assertThat(metrics.get(1).getTimeSeriesList().size()).isEqualTo(1);
    assertThat(metrics.get(1).getTimeSeriesList().get(0).getLabelValues().size()).isEqualTo(tags.size());
    assertThat(metrics.get(1).getTimeSeriesList().get(0).getLabelValues()).isEqualTo(labelValues);
    assertThat(metrics.get(1).getTimeSeriesList().get(0).getPoints().size()).isEqualTo(1);
    assertThat(metrics.get(1).getTimeSeriesList().get(0).getPoints().get(0).getValue()).isEqualTo(Value.longValue(1));
    assertThat(metrics.get(1).getTimeSeriesList().get(0).getStartTimestamp()).isNull();
    assertThat(metrics.get(2).getMetricDescriptor()).isEqualTo(MetricDescriptor.create("dropwizard5_double_gauge_gauge", "Collected from dropwizard5 (metric=double_gauge, " + "type=io.opencensus.contrib.dropwizard5.DropWizardMetricsTest$DoubleGauge)", DEFAULT_UNIT, Type.GAUGE_DOUBLE, labelKeys));
    assertThat(metrics.get(2).getTimeSeriesList().size()).isEqualTo(1);
    assertThat(metrics.get(2).getTimeSeriesList().get(0).getLabelValues().size()).isEqualTo(tags.size());
    assertThat(metrics.get(2).getTimeSeriesList().get(0).getLabelValues()).isEqualTo(labelValues);
    assertThat(metrics.get(2).getTimeSeriesList().get(0).getPoints().size()).isEqualTo(1);
    assertThat(metrics.get(2).getTimeSeriesList().get(0).getPoints().get(0).getValue()).isEqualTo(Value.doubleValue(1.234));
    assertThat(metrics.get(2).getTimeSeriesList().get(0).getStartTimestamp()).isNull();
    assertThat(metrics.get(3).getMetricDescriptor()).isEqualTo(MetricDescriptor.create("dropwizard5_float_gauge_gauge", "Collected from dropwizard5 (metric=float_gauge, " + "type=io.opencensus.contrib.dropwizard5.DropWizardMetricsTest$FloatGauge)", DEFAULT_UNIT, Type.GAUGE_DOUBLE, labelKeys));
    assertThat(metrics.get(3).getTimeSeriesList().size()).isEqualTo(1);
    assertThat(metrics.get(3).getTimeSeriesList().get(0).getLabelValues().size()).isEqualTo(tags.size());
    assertThat(metrics.get(3).getTimeSeriesList().get(0).getLabelValues()).isEqualTo(labelValues);
    assertThat(metrics.get(3).getTimeSeriesList().get(0).getPoints().size()).isEqualTo(1);
    assertThat(metrics.get(3).getTimeSeriesList().get(0).getPoints().get(0).getValue()).isEqualTo(Value.doubleValue(0.1234000027179718));
    assertThat(metrics.get(3).getTimeSeriesList().get(0).getStartTimestamp()).isNull();
    assertThat(metrics.get(4).getMetricDescriptor()).isEqualTo(MetricDescriptor.create("dropwizard5_integer_gauge_gauge", "Collected from dropwizard5 (metric=integer_gauge, " + "type=io.opencensus.contrib.dropwizard5.DropWizardMetricsTest$IntegerGauge)", DEFAULT_UNIT, Type.GAUGE_DOUBLE, labelKeys));
    assertThat(metrics.get(4).getTimeSeriesList().size()).isEqualTo(1);
    assertThat(metrics.get(4).getTimeSeriesList().get(0).getLabelValues().size()).isEqualTo(tags.size());
    assertThat(metrics.get(4).getTimeSeriesList().get(0).getLabelValues()).isEqualTo(labelValues);
    assertThat(metrics.get(4).getTimeSeriesList().get(0).getPoints().size()).isEqualTo(1);
    assertThat(metrics.get(4).getTimeSeriesList().get(0).getPoints().get(0).getValue()).isEqualTo(Value.doubleValue(1234.0));
    assertThat(metrics.get(4).getTimeSeriesList().get(0).getStartTimestamp()).isNull();
    assertThat(metrics.get(5).getMetricDescriptor()).isEqualTo(MetricDescriptor.create("dropwizard5_long_gauge_gauge", "Collected from dropwizard5 (metric=long_gauge, " + "type=io.opencensus.contrib.dropwizard5.DropWizardMetricsTest$LongGauge)", DEFAULT_UNIT, Type.GAUGE_DOUBLE, labelKeys));
    assertThat(metrics.get(5).getTimeSeriesList().size()).isEqualTo(1);
    assertThat(metrics.get(5).getTimeSeriesList().get(0).getLabelValues().size()).isEqualTo(tags.size());
    assertThat(metrics.get(5).getTimeSeriesList().get(0).getLabelValues()).isEqualTo(labelValues);
    assertThat(metrics.get(5).getTimeSeriesList().get(0).getPoints().size()).isEqualTo(1);
    assertThat(metrics.get(5).getTimeSeriesList().get(0).getPoints().get(0).getValue()).isEqualTo(Value.doubleValue(1234.0));
    assertThat(metrics.get(5).getTimeSeriesList().get(0).getStartTimestamp()).isNull();
    // boolean gauge with tags
    assertThat(metrics.get(6).getMetricDescriptor()).isEqualTo(MetricDescriptor.create("dropwizard5_notags_boolean_gauge_gauge", "Collected from dropwizard5 (metric=notags_boolean_gauge, " + "type=io.opencensus.contrib.dropwizard5.DropWizardMetricsTest$BooleanGauge)", DEFAULT_UNIT, Type.GAUGE_INT64, Collections.emptyList()));
    assertThat(metrics.get(6).getTimeSeriesList().size()).isEqualTo(1);
    assertThat(metrics.get(6).getTimeSeriesList().get(0).getLabelValues().size()).isEqualTo(0);
    assertThat(metrics.get(6).getTimeSeriesList().get(0).getPoints().size()).isEqualTo(1);
    assertThat(metrics.get(6).getTimeSeriesList().get(0).getPoints().get(0).getValue()).isEqualTo(Value.longValue(1));
    assertThat(metrics.get(6).getTimeSeriesList().get(0).getStartTimestamp()).isNull();
    assertThat(metrics.get(7).getMetricDescriptor()).isEqualTo(MetricDescriptor.create("dropwizard5_get_requests_meter", "Collected from dropwizard5 (metric=get_requests, " + "type=io.dropwizard.metrics5.Meter)", DEFAULT_UNIT, Type.CUMULATIVE_INT64, labelKeys));
    assertThat(metrics.get(7).getTimeSeriesList().size()).isEqualTo(1);
    assertThat(metrics.get(7).getTimeSeriesList().get(0).getLabelValues().size()).isEqualTo(tags.size());
    assertThat(metrics.get(7).getTimeSeriesList().get(0).getLabelValues()).isEqualTo(labelValues);
    assertThat(metrics.get(7).getTimeSeriesList().get(0).getPoints().size()).isEqualTo(1);
    assertThat(metrics.get(7).getTimeSeriesList().get(0).getPoints().get(0).getValue()).isEqualTo(Value.longValue(2));
    assertThat(metrics.get(7).getTimeSeriesList().get(0).getStartTimestamp()).isNotNull();
    assertThat(metrics.get(8).getMetricDescriptor()).isEqualTo(MetricDescriptor.create("dropwizard5_result_histogram", "Collected from dropwizard5 (metric=result, " + "type=io.dropwizard.metrics5.Histogram)", DEFAULT_UNIT, Type.SUMMARY, labelKeys));
    assertThat(metrics.get(8).getTimeSeriesList().size()).isEqualTo(1);
    assertThat(metrics.get(8).getTimeSeriesList().get(0).getLabelValues().size()).isEqualTo(tags.size());
    assertThat(metrics.get(8).getTimeSeriesList().get(0).getLabelValues()).isEqualTo(labelValues);
    assertThat(metrics.get(8).getTimeSeriesList().get(0).getPoints().size()).isEqualTo(1);
    assertThat(metrics.get(8).getTimeSeriesList().get(0).getPoints().get(0).getValue()).isEqualTo(Value.summaryValue(Summary.create(1L, 0.0, Snapshot.create(1L, 0.0, Arrays.asList(ValueAtPercentile.create(50.0, 200.0), ValueAtPercentile.create(75.0, 200.0), ValueAtPercentile.create(98.0, 200.0), ValueAtPercentile.create(99.0, 200.0), ValueAtPercentile.create(99.9, 200.0))))));
    assertThat(metrics.get(8).getTimeSeriesList().get(0).getStartTimestamp()).isInstanceOf(Timestamp.class);
    assertThat(metrics.get(9).getMetricDescriptor()).isEqualTo(MetricDescriptor.create("dropwizard5_requests_timer", "Collected from dropwizard5 (metric=requests, " + "type=io.dropwizard.metrics5.Timer)", NS_UNIT, Type.SUMMARY, labelKeys));
    assertThat(metrics.get(9).getTimeSeriesList().size()).isEqualTo(1);
    assertThat(metrics.get(9).getTimeSeriesList().get(0).getLabelValues().size()).isEqualTo(tags.size());
    assertThat(metrics.get(9).getTimeSeriesList().get(0).getPoints().size()).isEqualTo(1);
    assertThat(metrics.get(9).getTimeSeriesList().get(0).getPoints().get(0).getValue()).isEqualTo(Value.summaryValue(Summary.create(1L, 0.0, Snapshot.create(1L, 0.0, Arrays.asList(ValueAtPercentile.create(50.0, timer.getSnapshot().getMedian()), ValueAtPercentile.create(75.0, timer.getSnapshot().get75thPercentile()), ValueAtPercentile.create(98.0, timer.getSnapshot().get98thPercentile()), ValueAtPercentile.create(99.0, timer.getSnapshot().get99thPercentile()), ValueAtPercentile.create(99.9, timer.getSnapshot().get999thPercentile()))))));
    assertThat(metrics.get(9).getTimeSeriesList().get(0).getStartTimestamp()).isInstanceOf(Timestamp.class);
}
Also used : Histogram(io.dropwizard.metrics5.Histogram) LabelValue(io.opencensus.metrics.LabelValue) HashMap(java.util.HashMap) Meter(io.dropwizard.metrics5.Meter) ArrayList(java.util.ArrayList) MetricName(io.dropwizard.metrics5.MetricName) Counter(io.dropwizard.metrics5.Counter) Timer(io.dropwizard.metrics5.Timer) LabelKey(io.opencensus.metrics.LabelKey) Metric(io.opencensus.metrics.export.Metric) HashMap(java.util.HashMap) Map(java.util.Map) Test(org.junit.Test)

Example 7 with LabelKey

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

the class DerivedDoubleCumulativeImplTest 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);
    DerivedDoubleCumulativeImpl derivedDoubleCumulative2 = new DerivedDoubleCumulativeImpl(METRIC_NAME, METRIC_DESCRIPTION, METRIC_UNIT, labelKeys, constantLabels, START_TIME);
    derivedDoubleCumulative2.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_DOUBLE, allKeys);
    List<LabelValue> allValues = new ArrayList<>(labelValues);
    allValues.add(constantValue);
    TimeSeries expectedTimeSeries = TimeSeries.createWithOnePoint(allValues, Point.create(Value.doubleValue(2.5), endTime), START_TIME);
    Metric metric = derivedDoubleCumulative2.getMetric(testClock);
    assertThat(metric).isNotNull();
    assertThat(metric.getMetricDescriptor()).isEqualTo(expectedDescriptor);
    assertThat(metric.getTimeSeriesList()).containsExactly(expectedTimeSeries);
    derivedDoubleCumulative2.removeTimeSeries(labelValues);
    Metric metric2 = derivedDoubleCumulative2.getMetric(testClock);
    assertThat(metric2).isNull();
}
Also used : MetricDescriptor(io.opencensus.metrics.export.MetricDescriptor) TimeSeries(io.opencensus.metrics.export.TimeSeries) LabelValue(io.opencensus.metrics.LabelValue) ArrayList(java.util.ArrayList) LabelKey(io.opencensus.metrics.LabelKey) Metric(io.opencensus.metrics.export.Metric) Timestamp(io.opencensus.common.Timestamp) Test(org.junit.Test)

Example 8 with LabelKey

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

the class DoubleCumulativeImplTest method testEquals.

@Test
public void testEquals() {
    List<LabelKey> labelKeys = Arrays.asList(LabelKey.create("key1", "desc"), LabelKey.create("key2", "desc"));
    List<LabelValue> labelValues = Arrays.asList(LabelValue.create("value1"), LabelValue.create("value2"));
    DoubleCumulativeImpl doubleCumulative = new DoubleCumulativeImpl(METRIC_NAME, METRIC_DESCRIPTION, METRIC_UNIT, labelKeys, EMPTY_CONSTANT_LABELS, START_TIME);
    DoublePoint defaultPoint1 = doubleCumulative.getDefaultTimeSeries();
    DoublePoint defaultPoint2 = doubleCumulative.getDefaultTimeSeries();
    DoublePoint doublePoint1 = doubleCumulative.getOrCreateTimeSeries(labelValues);
    DoublePoint doublePoint2 = doubleCumulative.getOrCreateTimeSeries(labelValues);
    new EqualsTester().addEqualityGroup(defaultPoint1, defaultPoint2).addEqualityGroup(doublePoint1, doublePoint2).testEquals();
    doubleCumulative.clear();
    DoublePoint newDefaultPointAfterClear = doubleCumulative.getDefaultTimeSeries();
    DoublePoint newDoublePointAfterClear = doubleCumulative.getOrCreateTimeSeries(labelValues);
    doubleCumulative.removeTimeSeries(labelValues);
    DoublePoint newDoublePointAfterRemove = doubleCumulative.getOrCreateTimeSeries(labelValues);
    new EqualsTester().addEqualityGroup(defaultPoint1, defaultPoint2).addEqualityGroup(doublePoint1, doublePoint2).addEqualityGroup(newDefaultPointAfterClear).addEqualityGroup(newDoublePointAfterClear).addEqualityGroup(newDoublePointAfterRemove).testEquals();
}
Also used : LabelValue(io.opencensus.metrics.LabelValue) EqualsTester(com.google.common.testing.EqualsTester) DoublePoint(io.opencensus.metrics.DoubleCumulative.DoublePoint) LabelKey(io.opencensus.metrics.LabelKey) Test(org.junit.Test)

Example 9 with LabelKey

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

the class DerivedDoubleGaugeImplTest 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);
    DerivedDoubleGaugeImpl derivedDoubleGauge2 = new DerivedDoubleGaugeImpl(METRIC_NAME, METRIC_DESCRIPTION, METRIC_UNIT, labelKeys, constantLabels);
    derivedDoubleGauge2.createTimeSeries(labelValues, new QueueManager(), queueManagerFunction);
    List<LabelKey> allKeys = new ArrayList<>(labelKeys);
    allKeys.add(constantKey);
    MetricDescriptor expectedDescriptor = MetricDescriptor.create(METRIC_NAME, METRIC_DESCRIPTION, METRIC_UNIT, Type.GAUGE_DOUBLE, allKeys);
    List<LabelValue> allValues = new ArrayList<>(labelValues);
    allValues.add(constantValue);
    TimeSeries expectedTimeSeries = TimeSeries.createWithOnePoint(allValues, Point.create(Value.doubleValue(2.5), TEST_TIME), null);
    Metric metric = derivedDoubleGauge2.getMetric(testClock);
    assertThat(metric).isNotNull();
    assertThat(metric.getMetricDescriptor()).isEqualTo(expectedDescriptor);
    assertThat(metric.getTimeSeriesList()).containsExactly(expectedTimeSeries);
    derivedDoubleGauge2.removeTimeSeries(labelValues);
    Metric metric2 = derivedDoubleGauge2.getMetric(testClock);
    assertThat(metric2).isNull();
}
Also used : MetricDescriptor(io.opencensus.metrics.export.MetricDescriptor) TimeSeries(io.opencensus.metrics.export.TimeSeries) LabelValue(io.opencensus.metrics.LabelValue) ArrayList(java.util.ArrayList) LabelKey(io.opencensus.metrics.LabelKey) Metric(io.opencensus.metrics.export.Metric) Test(org.junit.Test)

Example 10 with LabelKey

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

the class MetricUtils method viewToMetricDescriptor.

@javax.annotation.Nullable
static MetricDescriptor viewToMetricDescriptor(View view) {
    if (view.getWindow() instanceof View.AggregationWindow.Interval) {
        // Only creates Metric for cumulative stats.
        return null;
    }
    List<LabelKey> labelKeys = new ArrayList<LabelKey>();
    for (TagKey tagKey : view.getColumns()) {
        // TODO: add description
        labelKeys.add(LabelKey.create(tagKey.getName(), ""));
    }
    Measure measure = view.getMeasure();
    Aggregation aggregation = view.getAggregation();
    return MetricDescriptor.create(view.getName().asString(), view.getDescription(), getUnit(measure, aggregation), getType(measure, aggregation), labelKeys);
}
Also used : Aggregation(io.opencensus.stats.Aggregation) ArrayList(java.util.ArrayList) TagKey(io.opencensus.tags.TagKey) Measure(io.opencensus.stats.Measure) LabelKey(io.opencensus.metrics.LabelKey) View(io.opencensus.stats.View)

Aggregations

LabelKey (io.opencensus.metrics.LabelKey)25 Test (org.junit.Test)22 LabelValue (io.opencensus.metrics.LabelValue)17 ArrayList (java.util.ArrayList)16 Metric (io.opencensus.metrics.export.Metric)15 MetricDescriptor (io.opencensus.metrics.export.MetricDescriptor)8 TimeSeries (io.opencensus.metrics.export.TimeSeries)8 EqualsTester (com.google.common.testing.EqualsTester)4 Timestamp (io.opencensus.common.Timestamp)4 Metric (com.google.api.Metric)3 DoublePoint (io.opencensus.metrics.DoubleGauge.DoublePoint)3 LongPoint (io.opencensus.metrics.LongGauge.LongPoint)3 MetricDescriptor (com.google.api.MetricDescriptor)2 TimeSeries (com.google.monitoring.v3.TimeSeries)2 ByteString (com.google.protobuf.ByteString)2 DoublePoint (io.opencensus.metrics.DoubleCumulative.DoublePoint)2 LongPoint (io.opencensus.metrics.LongCumulative.LongPoint)2 Map (java.util.Map)2 Counter (com.codahale.metrics.Counter)1 Histogram (com.codahale.metrics.Histogram)1