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Fix "cannot reduce resolution to custom buckets schema" panic in rate over native histograms with mix of custom and exponential buckets

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Signed-off-by: Charles Korn <charles.korn@grafana.com>
This commit is contained in:
Charles Korn 2024-08-07 14:39:50 +10:00
parent f6e4b775e2
commit 424cefcf5e
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2 changed files with 31 additions and 0 deletions
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9
promql/functions.go
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@ -179,15 +179,21 @@ func extrapolatedRate(vals []parser.Value, args parser.Expressions, enh *EvalNod
// Otherwise, it returns the calculated histogram and an empty annotation.
func histogramRate(points []HPoint, isCounter bool, metricName string, pos posrange.PositionRange) (*histogram.FloatHistogram, annotations.Annotations) {
prev := points[0].H
usingCustomBuckets := prev.UsesCustomBuckets()
last := points[len(points)-1].H
if last == nil {
return nil, annotations.New().Add(annotations.NewMixedFloatsHistogramsWarning(metricName, pos))
}
minSchema := prev.Schema
if last.Schema < minSchema {
minSchema = last.Schema
}
if last.UsesCustomBuckets() != usingCustomBuckets {
return nil, annotations.New().Add(annotations.NewMixedExponentialCustomHistogramsWarning(metricName, pos))
}
var annos annotations.Annotations
// We check for gauge type histograms in the loop below, but the loop below does not run on the first and last point,
@ -215,6 +221,9 @@ func histogramRate(points []HPoint, isCounter bool, metricName string, pos posra
if curr.Schema < minSchema {
minSchema = curr.Schema
}
if curr.UsesCustomBuckets() != usingCustomBuckets {
return nil, annotations.New().Add(annotations.NewMixedExponentialCustomHistogramsWarning(metricName, pos))
}
}
h := last.CopyToSchema(minSchema)

22
promql/promqltest/testdata/native_histograms.test vendored
View File

@ -762,3 +762,25 @@ eval_warn instant at 30s rate(some_metric[30s])
# Test the case where we have more than two points for rate
eval_warn instant at 1m rate(some_metric[1m])
{} {{count:0.03333333333333333 sum:0.03333333333333333 buckets:[0.03333333333333333]}}
clear
# Test rate() over mixed exponential and custom buckets.
load 30s
some_metric {{schema:0 sum:1 count:1 buckets:[1]}} {{schema:-53 sum:1 count:1 custom_values:[5 10] buckets:[1]}} {{schema:0 sum:5 count:4 buckets:[1 2 1]}} {{schema:-53 sum:1 count:1 custom_values:[5 10] buckets:[1]}}
# Start and end with exponential, with custom in the middle.
eval_warn instant at 1m rate(some_metric[1m])
# Should produce no results.
# Start and end with custom, with exponential in the middle.
eval_warn instant at 1m30s rate(some_metric[1m])
# Should produce no results.
# Start with custom, end with exponential.
eval_warn instant at 1m rate(some_metric[30s])
# Should produce no results.
# Start with exponential, end with custom.
eval_warn instant at 30s rate(some_metric[30s])
# Should produce no results.