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Fix issue where avg over mixed exponential and custom buckets, or incompatible custom buckets, produces incorrect results or panics

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Signed-off-by: Charles Korn <charles.korn@grafana.com>
This commit is contained in:
Charles Korn 2024-08-07 15:32:35 +10:00
parent 5ee94f49a2
commit f07b3ae67b
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2 changed files with 12 additions and 0 deletions
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6
promql/engine.go
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@ -2868,10 +2868,14 @@ func (ev *evaluator) aggregation(e *parser.AggregateExpr, q float64, inputMatrix
toAdd, err := left.Sub(right)
if err != nil {
handleAggregationError(err, e, inputMatrix[si].Metric.Get(model.MetricNameLabel), &annos)
group.abandonHistogram = true
continue
}
_, err = group.histogramValue.Add(toAdd)
if err != nil {
handleAggregationError(err, e, inputMatrix[si].Metric.Get(model.MetricNameLabel), &annos)
group.abandonHistogram = true
continue
}
}
// Otherwise the aggregation contained floats
@ -2968,6 +2972,8 @@ func (ev *evaluator) aggregation(e *parser.AggregateExpr, q float64, inputMatrix
continue
}
switch {
case aggr.abandonHistogram:
continue
case aggr.hasHistogram:
aggr.histogramValue = aggr.histogramValue.Compact(0)
case aggr.incrementalMean:

6
promql/promqltest/testdata/native_histograms.test vendored
View file

@ -776,6 +776,9 @@ load 6m
eval_warn range from 0 to 12m step 6m sum(metric)
{} {{sum:7 count:5 buckets:[2 3 2]}} {{schema:-53 sum:16 count:3 custom_values:[5 10] buckets:[1 2]}} _
eval_warn range from 0 to 12m step 6m avg(metric)
{} {{sum:3.5 count:2.5 buckets:[1 1.5 1]}} {{schema:-53 sum:8 count:1.5 custom_values:[5 10] buckets:[0.5 1]}} _
clear
# Test incompatible custom bucket schemas.
@ -789,3 +792,6 @@ load 6m
# T=12: incompatible followed by compatible, should be ignored and emit a warning
eval_warn range from 0 to 12m step 6m sum(metric)
{} _ {{schema:-53 sum:2 count:2 custom_values:[5 10] buckets:[2]}} _
eval_warn range from 0 to 12m step 6m avg(metric)
{} _ {{schema:-53 sum:1 count:1 custom_values:[5 10] buckets:[1]}} _