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metrics: Refactor handling of histogram vectors (#18632)
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8771617199
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bec1f7c26a
@ -1598,47 +1598,52 @@ func getGoMetrics() *MetricsGroup {
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return mg
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return mg
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}
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}
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// getHistogramMetrics fetches histogram metrics and returns it in a []Metric
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// Note: Typically used in MetricGroup.RegisterRead
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func getHistogramMetrics(hist *prometheus.HistogramVec, desc MetricDescription) []Metric {
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ch := make(chan prometheus.Metric)
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go func() {
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defer close(ch)
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// Collects prometheus metrics from hist and sends it over ch
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hist.Collect(ch)
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}()
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// Converts metrics received into internal []Metric type
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var metrics []Metric
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for promMetric := range ch {
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dtoMetric := &dto.Metric{}
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err := promMetric.Write(dtoMetric)
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if err != nil {
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// Log error and continue to receive other metric
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// values
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logger.LogIf(GlobalContext, err)
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continue
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}
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h := dtoMetric.GetHistogram()
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for _, b := range h.Bucket {
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labels := make(map[string]string)
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for _, lp := range dtoMetric.GetLabel() {
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labels[*lp.Name] = *lp.Value
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}
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labels["le"] = fmt.Sprintf("%.3f", *b.UpperBound)
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metric := Metric{
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Description: desc,
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VariableLabels: labels,
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Value: float64(b.GetCumulativeCount()),
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}
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metrics = append(metrics, metric)
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}
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}
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return metrics
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}
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func getBucketTTFBMetric() *MetricsGroup {
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func getBucketTTFBMetric() *MetricsGroup {
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mg := &MetricsGroup{
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mg := &MetricsGroup{
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cacheInterval: 10 * time.Second,
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cacheInterval: 10 * time.Second,
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}
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}
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mg.RegisterRead(func(ctx context.Context) (metrics []Metric) {
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mg.RegisterRead(func(ctx context.Context) []Metric {
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// Read prometheus metric on this channel
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return getHistogramMetrics(bucketHTTPRequestsDuration, getBucketObjectDistributionMD())
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ch := make(chan prometheus.Metric)
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var wg sync.WaitGroup
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wg.Add(1)
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// Read prometheus histogram data and convert it to internal metric data
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go func() {
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defer wg.Done()
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for promMetric := range ch {
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dtoMetric := &dto.Metric{}
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err := promMetric.Write(dtoMetric)
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if err != nil {
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logger.LogIf(GlobalContext, err)
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return
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}
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h := dtoMetric.GetHistogram()
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for _, b := range h.Bucket {
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labels := make(map[string]string)
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for _, lp := range dtoMetric.GetLabel() {
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labels[*lp.Name] = *lp.Value
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}
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labels["le"] = fmt.Sprintf("%.3f", *b.UpperBound)
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metric := Metric{
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Description: getBucketTTFBDistributionMD(),
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VariableLabels: labels,
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Value: float64(b.GetCumulativeCount()),
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}
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metrics = append(metrics, metric)
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}
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}
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}()
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bucketHTTPRequestsDuration.Collect(ch)
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close(ch)
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wg.Wait()
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return
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})
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})
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return mg
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return mg
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}
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}
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@ -1647,43 +1652,8 @@ func getS3TTFBMetric() *MetricsGroup {
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mg := &MetricsGroup{
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mg := &MetricsGroup{
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cacheInterval: 10 * time.Second,
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cacheInterval: 10 * time.Second,
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}
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}
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mg.RegisterRead(func(ctx context.Context) (metrics []Metric) {
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mg.RegisterRead(func(ctx context.Context) []Metric {
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// Read prometheus metric on this channel
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return getHistogramMetrics(httpRequestsDuration, getS3TTFBDistributionMD())
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ch := make(chan prometheus.Metric)
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var wg sync.WaitGroup
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wg.Add(1)
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// Read prometheus histogram data and convert it to internal metric data
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go func() {
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defer wg.Done()
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for promMetric := range ch {
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dtoMetric := &dto.Metric{}
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err := promMetric.Write(dtoMetric)
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if err != nil {
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logger.LogIf(GlobalContext, err)
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return
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}
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h := dtoMetric.GetHistogram()
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for _, b := range h.Bucket {
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labels := make(map[string]string)
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for _, lp := range dtoMetric.GetLabel() {
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labels[*lp.Name] = *lp.Value
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}
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labels["le"] = fmt.Sprintf("%.3f", *b.UpperBound)
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metric := Metric{
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Description: getS3TTFBDistributionMD(),
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VariableLabels: labels,
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Value: float64(b.GetCumulativeCount()),
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}
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metrics = append(metrics, metric)
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}
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}
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}()
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httpRequestsDuration.Collect(ch)
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close(ch)
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wg.Wait()
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return
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})
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})
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return mg
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return mg
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}
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}
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87
cmd/metrics-v2_test.go
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87
cmd/metrics-v2_test.go
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@ -0,0 +1,87 @@
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// Copyright (c) 2015-2023 MinIO, Inc.
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//
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// This file is part of MinIO Object Storage stack
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//
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// This program is free software: you can redistribute it and/or modify
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// it under the terms of the GNU Affero General Public License as published by
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// the Free Software Foundation, either version 3 of the License, or
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// (at your option) any later version.
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//
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// This program is distributed in the hope that it will be useful
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// but WITHOUT ANY WARRANTY; without even the implied warranty of
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// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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// GNU Affero General Public License for more details.
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//
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// You should have received a copy of the GNU Affero General Public License
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// along with this program. If not, see <http://www.gnu.org/licenses/>.
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package cmd
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import (
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"testing"
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"time"
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"github.com/prometheus/client_golang/prometheus"
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)
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func TestGetHistogramMetrics(t *testing.T) {
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histBuckets := []float64{0.05, 0.1, 0.25, 0.5, 0.75}
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labels := []string{"GetObject", "PutObject", "CopyObject", "CompleteMultipartUpload"}
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ttfbHist := prometheus.NewHistogramVec(
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prometheus.HistogramOpts{
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Name: "s3_ttfb_seconds",
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Help: "Time taken by requests served by current MinIO server instance",
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Buckets: histBuckets,
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},
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[]string{"api"},
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)
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observations := []struct {
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val float64
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label string
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}{
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{
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val: 0.02,
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label: labels[0],
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},
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{
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val: 0.07,
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label: labels[1],
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},
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{
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val: 0.11,
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label: labels[1],
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},
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{
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val: 0.19,
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label: labels[1],
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},
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{
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val: 0.31,
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label: labels[1],
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},
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{
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val: 0.61,
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label: labels[3],
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},
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{
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val: 0.79,
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label: labels[2],
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},
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}
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ticker := time.NewTicker(1 * time.Millisecond)
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defer ticker.Stop()
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for _, obs := range observations {
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// Send observations once every 1ms, to simulate delay between
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// observations. This is to test the channel based
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// synchronization used internally.
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select {
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case <-ticker.C:
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ttfbHist.With(prometheus.Labels{"api": obs.label}).Observe(obs.val)
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}
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}
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metrics := getHistogramMetrics(ttfbHist, getBucketTTFBDistributionMD())
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if expPoints := len(labels) * len(histBuckets); expPoints != len(metrics) {
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t.Fatalf("Expected %v data points but got %v", expPoints, len(metrics))
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}
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}
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