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Fix off-by-one error in funcHistogramQuantile / ensureMonotonic (#7393)
* Fix off-by-one error in funcHistogramQuantile / ensureMonotonic * Additional coverage for nonmonotonic histogram buckets Signed-off-by: Linas Medziunas <linas.medziunas@gmail.com>
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@ -168,7 +168,7 @@ func coalesceBuckets(buckets buckets) buckets {
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func ensureMonotonic(buckets buckets) {
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func ensureMonotonic(buckets buckets) {
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max := buckets[0].count
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max := buckets[0].count
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for i := range buckets[1:] {
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for i := 1; i < len(buckets); i++ {
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switch {
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switch {
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case buckets[i].count > max:
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case buckets[i].count > max:
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max = buckets[i].count
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max = buckets[i].count
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22
promql/testdata/histograms.test
vendored
22
promql/testdata/histograms.test
vendored
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@ -151,21 +151,25 @@ eval instant at 50m histogram_quantile(0.5, rate(request_duration_seconds_bucket
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# A histogram with nonmonotonic bucket counts. This may happen when recording
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# A histogram with nonmonotonic bucket counts. This may happen when recording
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# rule evaluation or federation races scrape ingestion, causing some buckets
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# rule evaluation or federation races scrape ingestion, causing some buckets
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# counts to be derived from fewer samples. The wrong answer we want to avoid
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# counts to be derived from fewer samples.
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# is for histogram_quantile(0.99, nonmonotonic_bucket) to return ~1000 instead
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# of 1.
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load 5m
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load 5m
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nonmonotonic_bucket{le="0.1"} 0+1x10
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nonmonotonic_bucket{le="0.1"} 0+2x10
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nonmonotonic_bucket{le="1"} 0+9x10
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nonmonotonic_bucket{le="1"} 0+1x10
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nonmonotonic_bucket{le="10"} 0+8x10
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nonmonotonic_bucket{le="10"} 0+5x10
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nonmonotonic_bucket{le="100"} 0+8x10
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nonmonotonic_bucket{le="100"} 0+4x10
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nonmonotonic_bucket{le="1000"} 0+9x10
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nonmonotonic_bucket{le="1000"} 0+9x10
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nonmonotonic_bucket{le="+Inf"} 0+9x10
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nonmonotonic_bucket{le="+Inf"} 0+8x10
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# Nonmonotonic buckets
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# Nonmonotonic buckets
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eval instant at 50m histogram_quantile(0.01, nonmonotonic_bucket)
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{} 0.0045
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eval instant at 50m histogram_quantile(0.5, nonmonotonic_bucket)
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{} 8.5
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eval instant at 50m histogram_quantile(0.99, nonmonotonic_bucket)
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eval instant at 50m histogram_quantile(0.99, nonmonotonic_bucket)
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{} 0.989875
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{} 979.75
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# Buckets with different representations of the same upper bound.
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# Buckets with different representations of the same upper bound.
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eval instant at 50m histogram_quantile(0.5, rate(mixed_bucket[5m]))
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eval instant at 50m histogram_quantile(0.5, rate(mixed_bucket[5m]))
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