Merge pull request #17141 from prometheus/beorn7/histogram3

promql: Use `HistogramStatsIterator` more often
This commit is contained in:
Björn Rabenstein 2025-09-09 16:45:06 +02:00 committed by GitHub
commit d7e9a2ffb0
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
3 changed files with 26 additions and 1 deletions

View File

@ -350,6 +350,14 @@ func BenchmarkNativeHistograms(b *testing.B) {
name: "histogram_count with long rate interval",
query: "histogram_count(sum(rate(native_histogram_series[20m])))",
},
{
name: "two-legged histogram_count/sum with short rate interval",
query: "histogram_count(sum(rate(native_histogram_series[2m]))) + histogram_sum(sum(rate(native_histogram_series[2m])))",
},
{
name: "two-legged histogram_count/sum with long rate interval",
query: "histogram_count(sum(rate(native_histogram_series[20m]))) + histogram_sum(sum(rate(native_histogram_series[20m])))",
},
}
opts := promql.EngineOpts{

View File

@ -3920,7 +3920,7 @@ func detectHistogramStatsDecoding(expr parser.Expr) {
break pathLoop
}
}
return errors.New("stop")
return nil
})
}

View File

@ -1660,3 +1660,20 @@ eval instant at 30s histogram_count(avg(reset))
eval instant at 5m histogram_count(rate(reset{timing="late"}[5m]))
expect no_warn
{timing="late"} 0.0175
clear
# Test edge cases of HistogramStatsIterator detection.
# We access the same series multiple times within the same expression,
# once with and once without HistogramStatsIterator. The results here
# at least prove that we do not use HistogramStatsIterator where we
# should not.
load 1m
histogram {{schema:0 count:10 sum:50 counter_reset_hint:gauge buckets:[1 2 3 4]}}
eval instant at 1m histogram_count(histogram unless histogram_quantile(0.5, histogram) < 3)
{} 10
eval instant at 1m histogram_quantile(0.5, histogram unless histogram_count(histogram) == 0)
{} 3.1748021039363987