}

func (bh *bucketHTTPStats) updateHTTPStats(bucket, api string, w *xhttp.ResponseRecorder) {
	if bh == nil {
		return
	}

	if w != nil {
		// Increment the prometheus http request response histogram with API, Bucket
		bucketHTTPRequestsDuration.With(prometheus.Labels{
			"api":    api,
			"bucket": bucket,
		}).Observe(w.TTFB().Seconds())
	}

	bh.Lock()
	defer bh.Unlock()

	ReqFail uint64                   `json:"kms_req_failure"` // Number of requests that failed with an undefined error
	Latency map[time.Duration]uint64 `json:"kms_resp_time"`   // Latency histogram of all requests
}

var defaultLatencyBuckets = []time.Duration{
	10 * time.Millisecond,
	50 * time.Millisecond,
	100 * time.Millisecond,
	250 * time.Millisecond,
	500 * time.Millisecond,

 *       {@link java.util.List}, yet has order-independent equality like a {@link java.util.Set}.
 *       One typical use for a multiset is to represent a histogram.
 *   <dt>{@link ClassToInstanceMap}
 *   <dd>An extension of {@link java.util.Map} that associates a raw type with an instance of that
 *       type.
 * </dl>
 *
 * <h2>Ranges</h2>
 *
 * <ul>

			bucket,
		)

		for k, v := range usageInfo.ObjectSizesHistogram {
			ch <- prometheus.MustNewConstMetric(
				prometheus.NewDesc(
					prometheus.BuildFQName(bucketNamespace, "objects", "histogram"),
					"Total number of objects of different sizes in a bucket",
					[]string{"bucket", "object_size"}, nil),
				prometheus.GaugeValue,
				float64(v),
				bucket,
				k,
			)
		}

		VariableLabels:       make(map[string]string, len(m.VariableLabels)),
		Histogram:            make(map[string]uint64, len(m.Histogram)),
	}
	maps.Copy(metric.StaticLabels, m.StaticLabels)
	maps.Copy(metric.VariableLabels, m.VariableLabels)
	maps.Copy(metric.Histogram, m.Histogram)
	return metric
}

// Get - returns cached value always upton the configured TTL,

- Enables Prometheus native histogram support in kube-proxy when feature gate is enabled.
  Histograms are exposed in both classic and native formats using exponential bucket configuration (factor=1.1, max buckets=160) ([#137781](https://github.com/kubernetes/kubernetes/pull/137781), [@richabanker](https://github.com/richabanker)) [SIG Network]
- Enables Prometheus native histogram support in kubelet when feature gate is enabled.

import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.DateHistogramAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.HistogramAggregationBuilder;
import org.opensearch.search.aggregations.bucket.missing.MissingAggregationBuilder;

import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.DateHistogramAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.HistogramAggregationBuilder;
import org.opensearch.search.aggregations.bucket.missing.MissingAggregationBuilder;

import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.DateHistogramAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.HistogramAggregationBuilder;
import org.opensearch.search.aggregations.bucket.missing.MissingAggregationBuilder;

 * Side Public License, v 1.
 */

package org.elasticsearch.common;

import org.elasticsearch.common.time.DateFormatter;
import org.elasticsearch.core.TimeValue;
import org.elasticsearch.search.aggregations.bucket.histogram.DateHistogramAggregationBuilder;
import org.openjdk.jmh.annotations.Benchmark;
import org.openjdk.jmh.annotations.BenchmarkMode;
import org.openjdk.jmh.annotations.Fork;
import org.openjdk.jmh.annotations.Measurement;