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Fix percentile aggregation

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This commit is contained in:
Alexander Zobnin
2021-08-10 22:22:37 +03:00
parent 549b8ac95a
commit 015733bed7
1 changed files with 3 additions and 3 deletions
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6
pkg/timeseries/agg_functions.go
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@@ -5,7 +5,7 @@ import (
"sort"
)
type AgggregationFunc = func(points []TimePoint) *float64
type AggregationFunc = func(points []TimePoint) *float64
func AggAvg(points []TimePoint) *float64 {
sum := AggSum(points)
@@ -68,7 +68,7 @@ func AggMedian(points []TimePoint) *float64 {
return AggPercentile(50)(points)
}
func AggPercentile(n float64) AgggregationFunc {
func AggPercentile(n float64) AggregationFunc {
return func(points []TimePoint) *float64 {
values := make([]float64, 0)
for _, p := range points {
@@ -80,7 +80,7 @@ func AggPercentile(n float64) AgggregationFunc {
return nil
}
values = sort.Float64Slice(values)
sort.Sort(sort.Float64Slice(values))
percentileIndex := int(math.Floor(float64(len(values)) * n / 100))
percentile := values[percentileIndex]
return &percentile