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Merge pull request #10140 from David-N-Perkins/ISS-9910 

Issue 9910
This commit is contained in:
Björn Rabenstein 2022-02-01 15:28:42 +01:00 committed by GitHub
parent 201aa3a964 472456efde
commit be7ed73efc
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
2 changed files with 14 additions and 2 deletions
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7
promql/functions.go
View File

@ -791,7 +791,7 @@ func funcPredictLinear(vals []parser.Value, args parser.Expressions, enh *EvalNo
func funcHistogramQuantile(vals []parser.Value, args parser.Expressions, enh *EvalNodeHelper) Vector {
q := vals[0].(Vector)[0].V
inVec := vals[1].(Vector)
sigf := signatureFunc(false, enh.lblBuf, excludedLabels...)
sigf := signatureFunc(false, enh.lblBuf, labels.BucketLabel)
if enh.signatureToMetricWithBuckets == nil {
enh.signatureToMetricWithBuckets = map[string]*metricWithBuckets{}
@ -810,11 +810,14 @@ func funcHistogramQuantile(vals []parser.Value, args parser.Expressions, enh *Ev
continue
}
l := sigf(el.Metric)
// Add the metric name (which is always removed) to the signature to prevent combining multiple histograms
// with the same label set. See https://github.com/prometheus/prometheus/issues/9910
l = l + el.Metric.Get(model.MetricNameLabel)
mb, ok := enh.signatureToMetricWithBuckets[l]
if !ok {
el.Metric = labels.NewBuilder(el.Metric).
Del(labels.BucketLabel, labels.MetricName).
Del(excludedLabels...).
Labels()
mb = &metricWithBuckets{el.Metric, nil}

9
promql/testdata/histograms.test vendored
View File

@ -219,3 +219,12 @@ load 5m
eval instant at 50m histogram_quantile(0.2, rate(empty_bucket[5m]))
{instance="ins1", job="job1"} NaN
# Load a duplicate histogram with a different name to test failure scenario on multiple histograms with the same label set
# https://github.com/prometheus/prometheus/issues/9910
load 5m
request_duration_seconds2_bucket{job="job1", instance="ins1", le="0.1"} 0+1x10
request_duration_seconds2_bucket{job="job1", instance="ins1", le="0.2"} 0+3x10
request_duration_seconds2_bucket{job="job1", instance="ins1", le="+Inf"} 0+4x10
eval_fail instant at 50m histogram_quantile(0.99, {__name__=~"request_duration.*"})