Turned "le" and "quantile" label names into constants.
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3e50eddd64
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@ -164,7 +164,7 @@ func extractSummary(out Ingester, o *ProcessOptions, f *dto.MetricFamily) error
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metric[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
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}
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// BUG(matt): Update other names to "quantile".
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metric[model.LabelName("quantile")] = model.LabelValue(fmt.Sprint(q.GetQuantile()))
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metric[model.LabelName(model.QuantileLabel)] = model.LabelValue(fmt.Sprint(q.GetQuantile()))
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metric[model.MetricNameLabel] = model.LabelValue(f.GetName())
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}
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@ -259,7 +259,7 @@ func extractHistogram(out Ingester, o *ProcessOptions, f *dto.MetricFamily) erro
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for _, p := range m.Label {
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metric[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
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}
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metric[model.LabelName("le")] = model.LabelValue(fmt.Sprint(q.GetUpperBound()))
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metric[model.LabelName(model.BucketLabel)] = model.LabelValue(fmt.Sprint(q.GetUpperBound()))
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metric[model.MetricNameLabel] = model.LabelValue(f.GetName() + "_bucket")
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if math.IsInf(q.GetUpperBound(), +1) {
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@ -308,7 +308,7 @@ func extractHistogram(out Ingester, o *ProcessOptions, f *dto.MetricFamily) erro
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for _, p := range m.Label {
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metric[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
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}
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metric[model.LabelName("le")] = model.LabelValue("+Inf")
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metric[model.LabelName(model.BucketLabel)] = model.LabelValue("+Inf")
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metric[model.MetricNameLabel] = model.LabelValue(f.GetName() + "_bucket")
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}
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}
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@ -33,6 +33,14 @@ const (
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// JobLabel is the label name indicating the job from which a timeseries
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// was scraped.
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JobLabel LabelName = "job"
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// BucketLabel is used for the label that defines the upper bound of a
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// bucket of a histogram ("le" -> "less or equal").
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BucketLabel = "le"
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// QuantileLabel is used for the label that defines the quantile in a
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// summary.
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QuantileLabel = "quantile"
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)
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// A LabelName is a key for a LabelSet or Metric. It has a value associated
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@ -21,6 +21,7 @@ import (
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"github.com/golang/protobuf/proto"
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"github.com/prometheus/client_golang/model"
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dto "github.com/prometheus/client_model/go"
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)
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@ -33,7 +34,7 @@ import (
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//
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// Note that Histograms, in contrast to Summaries, can be aggregated with the
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// Prometheus query language (see the documentation for detailed
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// procedures). However, Histograms requires the user to pre-define suitable
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// procedures). However, Histograms require the user to pre-define suitable
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// buckets, and they are in general less accurate. The Observe method of a
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// Histogram has a very low performance overhead in comparison with the Observe
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// method of a Summary.
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@ -47,12 +48,16 @@ type Histogram interface {
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Observe(float64)
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}
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var (
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// DefBuckets are the default Histogram buckets. The default buckets are
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// tailored to broadly measure response time in seconds for a typical online
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// serving system. Most likely, however, you will be required to define buckets
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// customized to your use case.
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var (
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DefBuckets = []float64{.005, .01, .025, .05, .1, .25, .5, 1, 2.5, 5, 10}
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errBucketLabelNotAllowed = fmt.Errorf(
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"%q is not allowed as label name in histograms", model.BucketLabel,
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)
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)
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// LinearBuckets creates 'count' buckets, each 'width' wide, where the lowest
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@ -165,13 +170,13 @@ func newHistogram(desc *Desc, opts HistogramOpts, labelValues ...string) Histogr
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}
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for _, n := range desc.variableLabels {
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if n == "le" {
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panic("'le' is not allowed as label name in histograms")
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if n == model.BucketLabel {
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panic(errBucketLabelNotAllowed)
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}
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}
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for _, lp := range desc.constLabelPairs {
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if lp.GetName() == "le" {
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panic("'le' is not allowed as label name in histograms")
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if lp.GetName() == model.BucketLabel {
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panic(errBucketLabelNotAllowed)
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}
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}
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@ -25,6 +25,7 @@ import (
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dto "github.com/prometheus/client_model/go"
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"github.com/prometheus/client_golang/_vendor/perks/quantile"
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"github.com/prometheus/client_golang/model"
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)
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// A Summary captures individual observations from an event or sample stream and
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@ -50,9 +51,13 @@ type Summary interface {
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Observe(float64)
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}
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// DefObjectives are the default Summary quantile values.
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var (
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// DefObjectives are the default Summary quantile values.
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DefObjectives = map[float64]float64{0.5: 0.05, 0.9: 0.01, 0.99: 0.001}
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errQuantileLabelNotAllowed = fmt.Errorf(
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"%q is not allowed as label name in summaries", model.QuantileLabel,
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)
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)
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// Default values for SummaryOpts.
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@ -164,13 +169,13 @@ func newSummary(desc *Desc, opts SummaryOpts, labelValues ...string) Summary {
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}
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for _, n := range desc.variableLabels {
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if n == "quantile" {
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panic("'quantile' is not allowed as label name in summaries")
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if n == model.QuantileLabel {
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panic(errQuantileLabelNotAllowed)
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}
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}
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for _, lp := range desc.constLabelPairs {
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if lp.GetName() == "quantile" {
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panic("'quantile' is not allowed as label name in summaries")
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if lp.GetName() == model.QuantileLabel {
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panic(errQuantileLabelNotAllowed)
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}
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}
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@ -27,6 +27,7 @@ import (
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"math"
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"strings"
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"github.com/prometheus/client_golang/model"
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dto "github.com/prometheus/client_model/go"
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)
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@ -117,7 +118,7 @@ func MetricFamilyToText(out io.Writer, in *dto.MetricFamily) (int, error) {
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for _, q := range metric.Summary.Quantile {
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n, err = writeSample(
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name, metric,
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"quantile", fmt.Sprint(q.GetQuantile()),
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model.QuantileLabel, fmt.Sprint(q.GetQuantile()),
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q.GetValue(),
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out,
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)
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@ -150,7 +151,7 @@ func MetricFamilyToText(out io.Writer, in *dto.MetricFamily) (int, error) {
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for _, q := range metric.Histogram.Bucket {
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n, err = writeSample(
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name+"_bucket", metric,
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"le", fmt.Sprint(q.GetUpperBound()),
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model.BucketLabel, fmt.Sprint(q.GetUpperBound()),
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float64(q.GetCumulativeCount()),
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out,
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)
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@ -165,7 +166,7 @@ func MetricFamilyToText(out io.Writer, in *dto.MetricFamily) (int, error) {
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if !infSeen {
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n, err = writeSample(
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name+"_bucket", metric,
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"le", "+Inf",
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model.BucketLabel, "+Inf",
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float64(metric.Histogram.GetSampleCount()),
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out,
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)
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@ -274,8 +274,8 @@ func (p *Parser) startLabelName() stateFn {
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}
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// Special summary/histogram treatment. Don't add 'quantile' and 'le'
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// labels to 'real' labels.
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if !(p.currentMF.GetType() == dto.MetricType_SUMMARY && p.currentLabelPair.GetName() == "quantile") &&
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!(p.currentMF.GetType() == dto.MetricType_HISTOGRAM && p.currentLabelPair.GetName() == "le") {
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if !(p.currentMF.GetType() == dto.MetricType_SUMMARY && p.currentLabelPair.GetName() == model.QuantileLabel) &&
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!(p.currentMF.GetType() == dto.MetricType_HISTOGRAM && p.currentLabelPair.GetName() == model.BucketLabel) {
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p.currentMetric.Label = append(p.currentMetric.Label, p.currentLabelPair)
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}
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if p.skipBlankTabIfCurrentBlankTab(); p.err != nil {
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@ -306,7 +306,7 @@ func (p *Parser) startLabelValue() stateFn {
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// - Quantile labels are special, will result in dto.Quantile later.
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// - Other labels have to be added to currentLabels for signature calculation.
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if p.currentMF.GetType() == dto.MetricType_SUMMARY {
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if p.currentLabelPair.GetName() == "quantile" {
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if p.currentLabelPair.GetName() == model.QuantileLabel {
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if p.currentQuantile, p.err = strconv.ParseFloat(p.currentLabelPair.GetValue(), 64); p.err != nil {
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// Create a more helpful error message.
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p.parseError(fmt.Sprintf("expected float as value for 'quantile' label, got %q", p.currentLabelPair.GetValue()))
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@ -318,7 +318,7 @@ func (p *Parser) startLabelValue() stateFn {
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}
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// Similar special treatment of histograms.
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if p.currentMF.GetType() == dto.MetricType_HISTOGRAM {
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if p.currentLabelPair.GetName() == "le" {
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if p.currentLabelPair.GetName() == model.BucketLabel {
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if p.currentBucket, p.err = strconv.ParseFloat(p.currentLabelPair.GetValue(), 64); p.err != nil {
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// Create a more helpful error message.
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p.parseError(fmt.Sprintf("expected float as value for 'le' label, got %q", p.currentLabelPair.GetValue()))
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