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

Examples of org.apache.kafka.common.metrics.stats.Histogram.LinearBinScheme

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                System.out.printf("%5.2f: %.1f, ", quantile, h.value(quantile));
            System.out.println();
        }

        System.out.println("[0, 1000]");
        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));
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        if (bucketing == BucketSizing.CONSTANT) {
            this.binScheme = new ConstantBinScheme(buckets, min, max);
        } else if (bucketing == BucketSizing.LINEAR) {
            if (min != 0.0d)
                throw new IllegalArgumentException("Linear bucket sizing requires min to be 0.0.");
            this.binScheme = new LinearBinScheme(buckets, max);
        } else {
            throw new IllegalArgumentException("Unknown bucket type: " + bucketing);
        }
    }
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        checkBinningConsistency(scheme);
    }

    @Test
    public void testLinearBinScheme() {
        LinearBinScheme scheme = new LinearBinScheme(10, 10);
        checkBinningConsistency(scheme);
    }
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Related Classes of org.apache.kafka.common.metrics.stats.Histogram.LinearBinScheme

  • org.apache.kafka.common.metrics.stats.HistogramTest
  • org.apache.kafka.common.metrics.stats.Percentiles
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