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app/vmselect/promql: merge adjancent buckets with the smallest summary number of hits in buckets_limit()
function
This should improve accuracy for the returned buckets
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a3b3d434a3
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@ -347,8 +347,7 @@ func transformBucketsLimit(tfa *transformFuncArg) ([]*timeseries, error) {
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return nil, nil
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}
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if limit < 3 {
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// Preserve the first and the last bucket for better accuracy,
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// since these buckets are usually `[0...leMin]` and `(leMax ... +Inf]`
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// Preserve the first and the last bucket for better accuracy for min and max values.
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limit = 3
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}
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tss := vmrangeBucketsToLE(args[1])
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@ -412,21 +411,17 @@ func transformBucketsLimit(tfa *transformFuncArg) ([]*timeseries, error) {
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}
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}
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for len(leGroup) > limit {
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// Preserve the first and the last bucket for better accuracy,
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// since these buckets are usually `[0...leMin]` and `(leMax ... +Inf]`
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xxMinIdx := 0
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for i, xx := range leGroup[1 : len(leGroup)-1] {
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if xx.hits < leGroup[xxMinIdx].hits {
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xxMinIdx = i
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// Preserve the first and the last bucket for better accuracy for min and max values
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xxMinIdx := 1
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minMergeHits := leGroup[1].hits + leGroup[2].hits
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for i := range leGroup[1 : len(leGroup)-2] {
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mergeHits := leGroup[i+1].hits + leGroup[i+2].hits
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if mergeHits < minMergeHits {
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xxMinIdx = i + 1
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minMergeHits = mergeHits
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}
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}
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xxMinIdx++
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// Merge the leGroup[xxMinIdx] bucket with the smallest adjacent bucket in order to preserve
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// the maximum accuracy.
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if xxMinIdx > 1 && leGroup[xxMinIdx-1].hits < leGroup[xxMinIdx+1].hits {
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xxMinIdx--
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}
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leGroup[xxMinIdx+1].hits += leGroup[xxMinIdx].hits
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leGroup[xxMinIdx].hits += leGroup[xxMinIdx+1].hits
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leGroup = append(leGroup[:xxMinIdx], leGroup[xxMinIdx+1:]...)
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}
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for _, xx := range leGroup {
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