Examples with NamedMeasurable org.apache.kafka.common.metrics.CompoundStat.NamedMeasurable used on opensource projects

Example 1 with NamedMeasurable

use of org.apache.kafka.common.metrics.CompoundStat.NamedMeasurable in project apache-kafka-on-k8s by banzaicloud.

the class FrequenciesTest method testBooleanFrequencies.

@Test
public void testBooleanFrequencies() {
    MetricName metricTrue = name("true");
    MetricName metricFalse = name("false");
    Frequencies frequencies = Frequencies.forBooleanValues(metricFalse, metricTrue);
    final NamedMeasurable falseMetric = frequencies.stats().get(0);
    final NamedMeasurable trueMetric = frequencies.stats().get(1);
    // Record 2 windows worth of values
    for (int i = 0; i != 25; ++i) {
        frequencies.record(config, 0.0, time.milliseconds());
    }
    for (int i = 0; i != 75; ++i) {
        frequencies.record(config, 1.0, time.milliseconds());
    }
    assertEquals(0.25, falseMetric.stat().measure(config, time.milliseconds()), DELTA);
    assertEquals(0.75, trueMetric.stat().measure(config, time.milliseconds()), DELTA);
    // Record 2 more windows worth of values
    for (int i = 0; i != 40; ++i) {
        frequencies.record(config, 0.0, time.milliseconds());
    }
    for (int i = 0; i != 60; ++i) {
        frequencies.record(config, 1.0, time.milliseconds());
    }
    assertEquals(0.40, falseMetric.stat().measure(config, time.milliseconds()), DELTA);
    assertEquals(0.60, trueMetric.stat().measure(config, time.milliseconds()), DELTA);
}

Example 2 with NamedMeasurable

use of org.apache.kafka.common.metrics.CompoundStat.NamedMeasurable in project apache-kafka-on-k8s by banzaicloud.

the class Sensor method add.

/**
 * Register a compound statistic with this sensor which yields multiple measurable quantities (like a histogram)
 * @param stat The stat to register
 * @param config The configuration for this stat. If null then the stat will use the default configuration for this
 *        sensor.
 * @return true if stat is added to sensor, false if sensor is expired
 */
public synchronized boolean add(CompoundStat stat, MetricConfig config) {
    if (hasExpired())
        return false;
    this.stats.add(Utils.notNull(stat));
    Object lock = new Object();
    for (NamedMeasurable m : stat.stats()) {
        KafkaMetric metric = new KafkaMetric(lock, m.name(), m.stat(), config == null ? this.config : config, time);
        this.registry.registerMetric(metric);
        this.metrics.add(metric);
    }
    return true;
}

Example 3 with NamedMeasurable

use of org.apache.kafka.common.metrics.CompoundStat.NamedMeasurable in project apache-kafka-on-k8s by banzaicloud.

the class MeterTest method testMeter.

@Test
public void testMeter() {
    Map<String, String> emptyTags = Collections.emptyMap();
    MetricName rateMetricName = new MetricName("rate", "test", "", emptyTags);
    MetricName totalMetricName = new MetricName("total", "test", "", emptyTags);
    Meter meter = new Meter(rateMetricName, totalMetricName);
    List<NamedMeasurable> stats = meter.stats();
    assertEquals(2, stats.size());
    NamedMeasurable total = stats.get(0);
    NamedMeasurable rate = stats.get(1);
    assertEquals(rateMetricName, rate.name());
    assertEquals(totalMetricName, total.name());
    Rate rateStat = (Rate) rate.stat();
    Total totalStat = (Total) total.stat();
    MetricConfig config = new MetricConfig();
    double nextValue = 0.0;
    double expectedTotal = 0.0;
    long now = 0;
    double intervalMs = 100;
    double delta = 5.0;
    // for time windows and that the total is cumulative.
    for (int i = 1; i <= 100; i++) {
        for (; now < i * 1000; now += intervalMs, nextValue += delta) {
            expectedTotal += nextValue;
            meter.record(config, nextValue, now);
        }
        assertEquals(expectedTotal, totalStat.measure(config, now), EPS);
        long windowSizeMs = rateStat.windowSize(config, now);
        long windowStartMs = Math.max(now - windowSizeMs, 0);
        double sampledTotal = 0.0;
        double prevValue = nextValue - delta;
        for (long timeMs = now - 100; timeMs >= windowStartMs; timeMs -= intervalMs, prevValue -= delta) sampledTotal += prevValue;
        assertEquals(sampledTotal * 1000 / windowSizeMs, rateStat.measure(config, now), EPS);
    }
}

Example 4 with NamedMeasurable

use of org.apache.kafka.common.metrics.CompoundStat.NamedMeasurable in project kafka by apache.

the class FrequenciesTest method testBooleanFrequencies.

@Test
public void testBooleanFrequencies() {
    MetricName metricTrue = name("true");
    MetricName metricFalse = name("false");
    Frequencies frequencies = Frequencies.forBooleanValues(metricFalse, metricTrue);
    final NamedMeasurable falseMetric = frequencies.stats().get(0);
    final NamedMeasurable trueMetric = frequencies.stats().get(1);
    // Record 2 windows worth of values
    for (int i = 0; i != 25; ++i) {
        frequencies.record(config, 0.0, time.milliseconds());
    }
    for (int i = 0; i != 75; ++i) {
        frequencies.record(config, 1.0, time.milliseconds());
    }
    assertEquals(0.25, falseMetric.stat().measure(config, time.milliseconds()), DELTA);
    assertEquals(0.75, trueMetric.stat().measure(config, time.milliseconds()), DELTA);
    // Record 2 more windows worth of values
    for (int i = 0; i != 40; ++i) {
        frequencies.record(config, 0.0, time.milliseconds());
    }
    for (int i = 0; i != 60; ++i) {
        frequencies.record(config, 1.0, time.milliseconds());
    }
    assertEquals(0.40, falseMetric.stat().measure(config, time.milliseconds()), DELTA);
    assertEquals(0.60, trueMetric.stat().measure(config, time.milliseconds()), DELTA);
}

Example 5 with NamedMeasurable

use of org.apache.kafka.common.metrics.CompoundStat.NamedMeasurable in project kafka by apache.

the class MeterTest method testMeter.

@Test
public void testMeter() {
    Map<String, String> emptyTags = Collections.emptyMap();
    MetricName rateMetricName = new MetricName("rate", "test", "", emptyTags);
    MetricName totalMetricName = new MetricName("total", "test", "", emptyTags);
    Meter meter = new Meter(rateMetricName, totalMetricName);
    List<NamedMeasurable> stats = meter.stats();
    assertEquals(2, stats.size());
    NamedMeasurable total = stats.get(0);
    NamedMeasurable rate = stats.get(1);
    assertEquals(rateMetricName, rate.name());
    assertEquals(totalMetricName, total.name());
    Rate rateStat = (Rate) rate.stat();
    CumulativeSum totalStat = (CumulativeSum) total.stat();
    MetricConfig config = new MetricConfig();
    double nextValue = 0.0;
    double expectedTotal = 0.0;
    long now = 0;
    double intervalMs = 100;
    double delta = 5.0;
    // for time windows and that the total is cumulative.
    for (int i = 1; i <= 100; i++) {
        for (; now < i * 1000; now += intervalMs, nextValue += delta) {
            expectedTotal += nextValue;
            meter.record(config, nextValue, now);
        }
        assertEquals(expectedTotal, totalStat.measure(config, now), EPS);
        long windowSizeMs = rateStat.windowSize(config, now);
        long windowStartMs = Math.max(now - windowSizeMs, 0);
        double sampledTotal = 0.0;
        double prevValue = nextValue - delta;
        for (long timeMs = now - 100; timeMs >= windowStartMs; timeMs -= intervalMs, prevValue -= delta) sampledTotal += prevValue;
        assertEquals(sampledTotal * 1000 / windowSizeMs, rateStat.measure(config, now), EPS);
    }
}