}
    }

    public void setCreatedTime_Histogram() {
        setCreatedTime_Histogram(null);
    }

    public void setCreatedTime_Histogram(ConditionOptionCall<HistogramAggregationBuilder> opLambda) {
        setCreatedTime_Histogram("createdTime", opLambda, null);
    }

    public void setCreatedTime_Histogram(ConditionOptionCall<HistogramAggregationBuilder> opLambda,

        }
    }

    public void setCreatedTime_Histogram() {
        setCreatedTime_Histogram(null);
    }

    public void setCreatedTime_Histogram(ConditionOptionCall<HistogramAggregationBuilder> opLambda) {
        setCreatedTime_Histogram("createdTime", opLambda, null);
    }

    public void setCreatedTime_Histogram(ConditionOptionCall<HistogramAggregationBuilder> opLambda,

	ReplicatedCount         uint64 `json:"objectsReplicatedCount"`
}

// BucketUsageInfo - bucket usage info provides
// - total size of the bucket
// - total objects in a bucket
// - object size histogram per bucket
type BucketUsageInfo struct {
	Size uint64 `json:"size"`
	// Following five fields suffixed with V1 are here for backward compatibility
	// Total Size for objects that have not yet been replicated

	sync.RWMutex  // protects requestsCount only
	requestsCount map[string]struct {
		success int64
		failure int64
	}
	histogram *prometheus.HistogramVec
}

var globalTierMetrics = tierMetrics{
	requestsCount: make(map[string]struct {
		success int64
		failure int64
	}),
	histogram: prometheus.NewHistogramVec(prometheus.HistogramOpts{
		Name:    "tier_ttlb_seconds",

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;

// dataUsageHash is the hash type used.
type dataUsageHash string

// sizeHistogramV1 is size histogram V1, which has fewer intervals esp. between
// 1024B and 1MiB.
type sizeHistogramV1 [dataUsageBucketLenV1]uint64

// sizeHistogram is a size histogram.
type sizeHistogram [dataUsageBucketLen]uint64

// versionsHistogram is a histogram of number of versions in an object.
type versionsHistogram [dataUsageVersionLen]uint64

    render: Text
    value: |
      counter: gopls/bug
      title: Gopls bug reports
      description: Stacks of bugs encountered on the gopls server.
      type: partition, histogram, stack # choose only one.
      program: golang.org/x/tools/gopls
      counter: gopls/bug
      depth: 16  # only if type is stack.
      version: v0.13.0  # the first binary version containing this counter.
  validations:

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;

	}
}

// InQueueStats holds queue stats for replication
type InQueueStats struct {
	nowBytes   int64 `json:"-"`
	nowCount   int64 `json:"-"`
	histCounts metrics.Histogram
	histBytes  metrics.Histogram
}

func newInQueueStats(r metrics.Registry, lbl string) InQueueStats {
	histCounts := metrics.NewHistogram(metrics.NewUniformSample(100))

10, "stack": false, "steppedLine": false, "targets": [ { "expr": "histogram_quantile(0.5, sum(rate(pilot_proxy_convergence_time_bucket[1m])) by (le))", "format": "time_series", "intervalFactor": 1, "legendFormat": "p50 ", "refId": "A" }, { "expr": "histogram_quantile(0.9, sum(rate(pilot_proxy_convergence_time_bucket[1m])) by (le))", "format": "time_series", "intervalFactor": 1, "legendFormat": "p90", "refId": "B" }, { "expr": "histogram_quantile(0.99, sum(rate(pilot_proxy_convergence_time_bucket[1m]))...