Fix "cannot reduce resolution to custom buckets schema" panic in `rate` over native histograms with mix of custom and exponential buckets
Signed-off-by: Charles Korn <charles.korn@grafana.com>
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@ -179,15 +179,21 @@ func extrapolatedRate(vals []parser.Value, args parser.Expressions, enh *EvalNod
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// Otherwise, it returns the calculated histogram and an empty annotation.
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func histogramRate(points []HPoint, isCounter bool, metricName string, pos posrange.PositionRange) (*histogram.FloatHistogram, annotations.Annotations) {
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prev := points[0].H
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usingCustomBuckets := prev.UsesCustomBuckets()
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last := points[len(points)-1].H
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if last == nil {
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return nil, annotations.New().Add(annotations.NewMixedFloatsHistogramsWarning(metricName, pos))
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}
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minSchema := prev.Schema
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if last.Schema < minSchema {
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minSchema = last.Schema
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}
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if last.UsesCustomBuckets() != usingCustomBuckets {
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return nil, annotations.New().Add(annotations.NewMixedExponentialCustomHistogramsWarning(metricName, pos))
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}
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var annos annotations.Annotations
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// We check for gauge type histograms in the loop below, but the loop below does not run on the first and last point,
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@ -215,6 +221,9 @@ func histogramRate(points []HPoint, isCounter bool, metricName string, pos posra
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if curr.Schema < minSchema {
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minSchema = curr.Schema
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}
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if curr.UsesCustomBuckets() != usingCustomBuckets {
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return nil, annotations.New().Add(annotations.NewMixedExponentialCustomHistogramsWarning(metricName, pos))
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}
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}
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h := last.CopyToSchema(minSchema)
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@ -762,3 +762,25 @@ eval_warn instant at 30s rate(some_metric[30s])
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# Test the case where we have more than two points for rate
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eval_warn instant at 1m rate(some_metric[1m])
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{} {{count:0.03333333333333333 sum:0.03333333333333333 buckets:[0.03333333333333333]}}
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clear
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# Test rate() over mixed exponential and custom buckets.
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load 30s
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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]}}
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# Start and end with exponential, with custom in the middle.
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eval_warn instant at 1m rate(some_metric[1m])
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# Should produce no results.
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# Start and end with custom, with exponential in the middle.
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eval_warn instant at 1m30s rate(some_metric[1m])
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# Should produce no results.
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# Start with custom, end with exponential.
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eval_warn instant at 1m rate(some_metric[30s])
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# Should produce no results.
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# Start with exponential, end with custom.
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eval_warn instant at 30s rate(some_metric[30s])
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# Should produce no results.
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