Package org.apache.kafka.common.metrics.stats

Examples of org.apache.kafka.common.metrics.stats.Histogram.record()

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    @Test
    public void testHistogram() {
        BinScheme scheme = new ConstantBinScheme(12, -5, 5);
        Histogram hist = new Histogram(scheme);
        for (int i = -5; i < 5; i++)
            hist.record(i);
        for (int i = 0; i < 10; i++)
            assertEquals(scheme.fromBin(i + 1), hist.value(i / 10.0 + EPS), EPS);
    }

    @Test
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        for (BinScheme scheme : Arrays.asList(new ConstantBinScheme(1000, -100, 100),
                                              new ConstantBinScheme(100, -100, 100),
                                              new ConstantBinScheme(10, -100, 100))) {
            Histogram h = new Histogram(scheme);
            for (int i = 0; i < 10000; i++)
                h.record(200.0 * random.nextDouble() - 100.0);
            for (double quantile = 0.0; quantile < 1.0; quantile += 0.05)
                System.out.printf("%5.2f: %.1f, ", quantile, h.value(quantile));
            System.out.println();
        }

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        for (BinScheme scheme : Arrays.asList(new LinearBinScheme(1000, 1000),
                                              new LinearBinScheme(100, 1000),
                                              new LinearBinScheme(10, 1000))) {
            Histogram h = new Histogram(scheme);
            for (int i = 0; i < 10000; i++)
                h.record(1000.0 * random.nextDouble());
            for (double quantile = 0.0; quantile < 1.0; quantile += 0.05)
                System.out.printf("%5.2f: %.1f, ", quantile, h.value(quantile));
            System.out.println();
        }
    }
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