Examples of Percentiles

Examples of org.apache.kafka.common.metrics.stats.Percentiles

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        Sensor child = metrics.sensor("child", parent);
        for (Sensor sensor : Arrays.asList(parent, child)) {
            sensor.add(sensor.name() + ".avg", new Avg());
            sensor.add(sensor.name() + ".count", new Count());
            sensor.add(sensor.name() + ".max", new Max());
            sensor.add(new Percentiles(1024,
                                       0.0,
                                       iters,
                                       BucketSizing.CONSTANT,
                                       new Percentile(sensor.name() + ".median", 50.0),
                                       new Percentile(sensor.name() + ".p_99", 99.0)));
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Examples of org.apache.kafka.common.metrics.stats.Percentiles

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        s.add("test.max", new Max());
        s.add("test.min", new Min());
        s.add("test.rate", new Rate(TimeUnit.SECONDS));
        s.add("test.occurences", new Rate(TimeUnit.SECONDS, new Count()));
        s.add("test.count", new Count());
        s.add(new Percentiles(100, -100, 100, BucketSizing.CONSTANT, new Percentile("test.median", 50.0), new Percentile("test.perc99_9",
                                                                                                                         99.9)));

        Sensor s2 = metrics.sensor("test.sensor2");
        s2.add("s2.total", new Total());
        s2.record(5.0);
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Examples of org.apache.kafka.common.metrics.stats.Percentiles

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    }

    @Test
    public void testPercentiles() {
        int buckets = 100;
        Percentiles percs = new Percentiles(4 * buckets,
                                            0.0,
                                            100.0,
                                            BucketSizing.CONSTANT,
                                            new Percentile("test.p25", 25),
                                            new Percentile("test.p50", 50),
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Examples of org.elasticsearch.search.aggregations.metrics.percentiles.Percentiles

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                percentiles.put(Double.parseDouble(entry.getKey()), (Double) entry.getValue());
            }
            System.out.println("Expected percentiles: " + percentiles);
            System.out.println();
            SearchResponse resp = client.prepareSearch(d.indexName()).setSearchType(SearchType.COUNT).addAggregation(percentiles("pcts").field("v").percentiles(PERCENTILES)).execute().actionGet();
            Percentiles pcts = resp.getAggregations().get("pcts");
            Map<Double, Double> asMap = Maps.newLinkedHashMap();
            double sumOfErrorSquares = 0;
            for (Percentile percentile : pcts) {
                asMap.put(percentile.getPercent(), percentile.getValue());
                double error = percentile.getValue() - percentiles.get(percentile.getPercent());
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