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Merge pull request #17141 from prometheus/beorn7/histogram3
promql: Use `HistogramStatsIterator` more often
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commit
d7e9a2ffb0
@ -350,6 +350,14 @@ func BenchmarkNativeHistograms(b *testing.B) {
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name: "histogram_count with long rate interval",
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query: "histogram_count(sum(rate(native_histogram_series[20m])))",
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},
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{
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name: "two-legged histogram_count/sum with short rate interval",
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query: "histogram_count(sum(rate(native_histogram_series[2m]))) + histogram_sum(sum(rate(native_histogram_series[2m])))",
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},
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{
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name: "two-legged histogram_count/sum with long rate interval",
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query: "histogram_count(sum(rate(native_histogram_series[20m]))) + histogram_sum(sum(rate(native_histogram_series[20m])))",
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},
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}
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opts := promql.EngineOpts{
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@ -3920,7 +3920,7 @@ func detectHistogramStatsDecoding(expr parser.Expr) {
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break pathLoop
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}
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}
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return errors.New("stop")
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return nil
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})
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}
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@ -1660,3 +1660,20 @@ eval instant at 30s histogram_count(avg(reset))
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eval instant at 5m histogram_count(rate(reset{timing="late"}[5m]))
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expect no_warn
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{timing="late"} 0.0175
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clear
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# Test edge cases of HistogramStatsIterator detection.
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# We access the same series multiple times within the same expression,
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# once with and once without HistogramStatsIterator. The results here
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# at least prove that we do not use HistogramStatsIterator where we
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# should not.
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load 1m
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histogram {{schema:0 count:10 sum:50 counter_reset_hint:gauge buckets:[1 2 3 4]}}
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eval instant at 1m histogram_count(histogram unless histogram_quantile(0.5, histogram) < 3)
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{} 10
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eval instant at 1m histogram_quantile(0.5, histogram unless histogram_count(histogram) == 0)
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{} 3.1748021039363987
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