mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
synced 2024-12-15 16:30:55 +01:00
725 lines
15 KiB
Go
725 lines
15 KiB
Go
package graphite
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import (
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"fmt"
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"math"
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"strings"
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"github.com/valyala/histogram"
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)
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var aggrStateFuncs = map[string]func(int) aggrState{
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"average": newAggrStateAvg,
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"avg": newAggrStateAvg,
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"avg_zero": newAggrStateAvgZero,
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"median": newAggrStateMedian,
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"sum": newAggrStateSum,
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"total": newAggrStateSum,
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"min": newAggrStateMin,
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"max": newAggrStateMax,
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"diff": newAggrStateDiff,
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"pow": newAggrStatePow,
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"stddev": newAggrStateStddev,
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"count": newAggrStateCount,
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"range": newAggrStateRange,
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"rangeOf": newAggrStateRange,
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"multiply": newAggrStateMultiply,
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"first": newAggrStateFirst,
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"last": newAggrStateLast,
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"current": newAggrStateLast,
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}
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type aggrState interface {
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Update(values []float64)
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Finalize(xFilesFactor float64) []float64
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}
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func newAggrState(pointsLen int, funcName string) (aggrState, error) {
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s := strings.TrimSuffix(funcName, "Series")
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asf := aggrStateFuncs[s]
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if asf == nil {
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return nil, fmt.Errorf("unsupported aggregate function %q", funcName)
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}
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return asf(pointsLen), nil
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}
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type aggrStateAvg struct {
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pointsLen int
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sums []float64
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counts []int
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seriesTotal int
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}
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func newAggrStateAvg(pointsLen int) aggrState {
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return &aggrStateAvg{
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pointsLen: pointsLen,
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sums: make([]float64, pointsLen),
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counts: make([]int, pointsLen),
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}
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}
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func (as *aggrStateAvg) Update(values []float64) {
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if len(values) != as.pointsLen {
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panic(fmt.Errorf("BUG: unexpected number of points in values; got %d; want %d", len(values), as.pointsLen))
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}
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sums := as.sums
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counts := as.counts
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for i, v := range values {
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if !math.IsNaN(v) {
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sums[i] += v
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counts[i]++
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}
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}
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as.seriesTotal++
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}
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func (as *aggrStateAvg) Finalize(xFilesFactor float64) []float64 {
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sums := as.sums
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counts := as.counts
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values := make([]float64, as.pointsLen)
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xff := int(xFilesFactor * float64(as.seriesTotal))
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for i, count := range counts {
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v := nan
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if count > 0 && count >= xff {
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v = sums[i] / float64(count)
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}
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values[i] = v
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}
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return values
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}
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type aggrStateAvgZero struct {
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pointsLen int
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sums []float64
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seriesTotal int
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}
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func newAggrStateAvgZero(pointsLen int) aggrState {
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return &aggrStateAvgZero{
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pointsLen: pointsLen,
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sums: make([]float64, pointsLen),
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}
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}
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func (as *aggrStateAvgZero) Update(values []float64) {
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if len(values) != as.pointsLen {
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panic(fmt.Errorf("BUG: unexpected number of points in values; got %d; want %d", len(values), as.pointsLen))
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}
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sums := as.sums
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for i, v := range values {
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if !math.IsNaN(v) {
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sums[i] += v
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}
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}
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as.seriesTotal++
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}
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func (as *aggrStateAvgZero) Finalize(_ float64) []float64 {
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sums := as.sums
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values := make([]float64, as.pointsLen)
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count := float64(as.seriesTotal)
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for i, sum := range sums {
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v := nan
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if count > 0 {
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v = sum / count
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}
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values[i] = v
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}
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return values
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}
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func newAggrStateMedian(pointsLen int) aggrState {
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return newAggrStatePercentile(pointsLen, 50)
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}
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type aggrStatePercentile struct {
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phi float64
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pointsLen int
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hs []*histogram.Fast
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counts []int
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seriesTotal int
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}
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func newAggrStatePercentile(pointsLen int, n float64) aggrState {
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hs := make([]*histogram.Fast, pointsLen)
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for i := 0; i < pointsLen; i++ {
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hs[i] = histogram.NewFast()
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}
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return &aggrStatePercentile{
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phi: n / 100,
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pointsLen: pointsLen,
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hs: hs,
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counts: make([]int, pointsLen),
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}
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}
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func (as *aggrStatePercentile) Update(values []float64) {
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if len(values) != as.pointsLen {
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panic(fmt.Errorf("BUG: unexpected number of points in values; got %d; want %d", len(values), as.pointsLen))
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}
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hs := as.hs
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counts := as.counts
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for i, v := range values {
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if !math.IsNaN(v) {
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hs[i].Update(v)
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counts[i]++
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}
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}
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as.seriesTotal++
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}
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func (as *aggrStatePercentile) Finalize(xFilesFactor float64) []float64 {
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xff := int(xFilesFactor * float64(as.seriesTotal))
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values := make([]float64, as.pointsLen)
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hs := as.hs
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for i, count := range as.counts {
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v := nan
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if count > 0 && count >= xff {
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v = hs[i].Quantile(as.phi)
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}
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values[i] = v
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}
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return values
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}
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type aggrStateSum struct {
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pointsLen int
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sums []float64
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counts []int
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seriesTotal int
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}
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func newAggrStateSum(pointsLen int) aggrState {
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return &aggrStateSum{
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pointsLen: pointsLen,
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sums: make([]float64, pointsLen),
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counts: make([]int, pointsLen),
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}
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}
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func (as *aggrStateSum) Update(values []float64) {
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if len(values) != as.pointsLen {
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panic(fmt.Errorf("BUG: unexpected number of points in values; got %d; want %d", len(values), as.pointsLen))
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}
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sums := as.sums
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counts := as.counts
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for i, v := range values {
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if !math.IsNaN(v) {
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sums[i] += v
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counts[i]++
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}
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}
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as.seriesTotal++
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}
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func (as *aggrStateSum) Finalize(xFilesFactor float64) []float64 {
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xff := int(xFilesFactor * float64(as.seriesTotal))
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values := make([]float64, as.pointsLen)
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sums := as.sums
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counts := as.counts
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for i, count := range counts {
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v := nan
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if count > 0 && count >= xff {
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v = sums[i]
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}
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values[i] = v
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}
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return values
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}
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type aggrStateMin struct {
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pointsLen int
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mins []float64
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counts []int
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seriesTotal int
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}
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func newAggrStateMin(pointsLen int) aggrState {
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return &aggrStateMin{
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pointsLen: pointsLen,
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mins: make([]float64, pointsLen),
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counts: make([]int, pointsLen),
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}
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}
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func (as *aggrStateMin) Update(values []float64) {
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if len(values) != as.pointsLen {
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panic(fmt.Errorf("BUG: unexpected number of points in values; got %d; want %d", len(values), as.pointsLen))
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}
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mins := as.mins
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counts := as.counts
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for i, v := range values {
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if math.IsNaN(v) {
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continue
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}
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counts[i]++
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if counts[i] == 1 {
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mins[i] = v
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} else if v < mins[i] {
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mins[i] = v
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}
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}
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as.seriesTotal++
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}
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func (as *aggrStateMin) Finalize(xFilesFactor float64) []float64 {
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xff := int(xFilesFactor * float64(as.seriesTotal))
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values := make([]float64, as.pointsLen)
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mins := as.mins
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counts := as.counts
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for i, count := range counts {
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v := nan
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if count > 0 && count >= xff {
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v = mins[i]
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}
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values[i] = v
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}
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return values
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}
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type aggrStateMax struct {
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pointsLen int
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maxs []float64
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counts []int
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seriesTotal int
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}
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func newAggrStateMax(pointsLen int) aggrState {
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return &aggrStateMax{
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pointsLen: pointsLen,
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maxs: make([]float64, pointsLen),
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counts: make([]int, pointsLen),
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}
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}
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func (as *aggrStateMax) Update(values []float64) {
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if len(values) != as.pointsLen {
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panic(fmt.Errorf("BUG: unexpected number of points in values; got %d; want %d", len(values), as.pointsLen))
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}
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maxs := as.maxs
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counts := as.counts
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for i, v := range values {
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if math.IsNaN(v) {
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continue
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}
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counts[i]++
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if counts[i] == 1 {
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maxs[i] = v
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} else if v > maxs[i] {
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maxs[i] = v
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}
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}
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as.seriesTotal++
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}
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func (as *aggrStateMax) Finalize(xFilesFactor float64) []float64 {
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xff := int(xFilesFactor * float64(as.seriesTotal))
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values := make([]float64, as.pointsLen)
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maxs := as.maxs
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counts := as.counts
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for i, count := range counts {
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v := nan
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if count > 0 && count >= xff {
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v = maxs[i]
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}
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values[i] = v
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}
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return values
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}
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type aggrStateDiff struct {
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pointsLen int
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vs []float64
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counts []int
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seriesTotal int
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}
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func newAggrStateDiff(pointsLen int) aggrState {
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return &aggrStateDiff{
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pointsLen: pointsLen,
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vs: make([]float64, pointsLen),
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counts: make([]int, pointsLen),
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}
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}
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func (as *aggrStateDiff) Update(values []float64) {
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if len(values) != as.pointsLen {
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panic(fmt.Errorf("BUG: unexpected number of points in values; got %d; want %d", len(values), as.pointsLen))
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}
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vs := as.vs
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counts := as.counts
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for i, v := range values {
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if !math.IsNaN(v) {
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if counts[i] == 0 {
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vs[i] = v
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} else {
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vs[i] -= v
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}
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counts[i]++
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}
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}
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as.seriesTotal++
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}
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func (as *aggrStateDiff) Finalize(xFilesFactor float64) []float64 {
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xff := int(xFilesFactor * float64(as.seriesTotal))
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values := make([]float64, as.pointsLen)
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vs := as.vs
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counts := as.counts
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for i, count := range counts {
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v := nan
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if count > 0 && count >= xff {
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v = vs[i]
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}
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values[i] = v
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}
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return values
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}
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type aggrStatePow struct {
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pointsLen int
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vs []float64
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counts []int
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seriesTotal int
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}
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func newAggrStatePow(pointsLen int) aggrState {
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return &aggrStatePow{
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pointsLen: pointsLen,
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vs: make([]float64, pointsLen),
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counts: make([]int, pointsLen),
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}
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}
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func (as *aggrStatePow) Update(values []float64) {
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if len(values) != as.pointsLen {
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panic(fmt.Errorf("BUG: unexpected number of points in values; got %d; want %d", len(values), as.pointsLen))
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}
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vs := as.vs
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counts := as.counts
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for i, v := range values {
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if !math.IsNaN(v) {
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if counts[i] == 0 {
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vs[i] = v
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} else {
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vs[i] = math.Pow(vs[i], v)
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}
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counts[i]++
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}
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}
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as.seriesTotal++
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}
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func (as *aggrStatePow) Finalize(xFilesFactor float64) []float64 {
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xff := int(xFilesFactor * float64(as.seriesTotal))
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values := make([]float64, as.pointsLen)
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vs := as.vs
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counts := as.counts
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for i, count := range counts {
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v := nan
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if count > 0 && count >= xff {
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v = vs[i]
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}
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values[i] = v
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}
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return values
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}
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type aggrStateStddev struct {
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pointsLen int
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means []float64
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m2s []float64
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counts []int
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seriesTotal int
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}
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func newAggrStateStddev(pointsLen int) aggrState {
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return &aggrStateStddev{
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pointsLen: pointsLen,
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means: make([]float64, pointsLen),
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m2s: make([]float64, pointsLen),
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counts: make([]int, pointsLen),
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}
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}
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func (as *aggrStateStddev) Update(values []float64) {
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if len(values) != as.pointsLen {
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panic(fmt.Errorf("BUG: unexpected number of points in values; got %d; want %d", len(values), as.pointsLen))
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}
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means := as.means
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m2s := as.m2s
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counts := as.counts
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for i, v := range values {
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if math.IsNaN(v) {
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continue
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}
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// See https://en.m.wikipedia.org/wiki/Algorithms_for_calculating_variance#Welford's_online_algorithm
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count := counts[i]
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mean := means[i]
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count++
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delta := v - mean
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mean += delta / float64(count)
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delta2 := v - mean
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means[i] = mean
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m2s[i] += delta * delta2
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counts[i] = count
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}
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as.seriesTotal++
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}
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func (as *aggrStateStddev) Finalize(xFilesFactor float64) []float64 {
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xff := int(xFilesFactor * float64(as.seriesTotal))
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values := make([]float64, as.pointsLen)
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m2s := as.m2s
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counts := as.counts
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for i, count := range counts {
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v := nan
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if count > 0 && count >= xff {
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v = math.Sqrt(m2s[i] / float64(count))
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}
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values[i] = v
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}
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return values
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}
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type aggrStateCount struct {
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pointsLen int
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counts []int
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seriesTotal int
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}
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func newAggrStateCount(pointsLen int) aggrState {
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return &aggrStateCount{
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pointsLen: pointsLen,
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counts: make([]int, pointsLen),
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}
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}
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func (as *aggrStateCount) Update(values []float64) {
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if len(values) != as.pointsLen {
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panic(fmt.Errorf("BUG: unexpected number of points in values; got %d; want %d", len(values), as.pointsLen))
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}
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counts := as.counts
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for i, v := range values {
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if !math.IsNaN(v) {
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counts[i]++
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}
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}
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as.seriesTotal++
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}
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func (as *aggrStateCount) Finalize(xFilesFactor float64) []float64 {
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xff := int(xFilesFactor * float64(as.seriesTotal))
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values := make([]float64, as.pointsLen)
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counts := as.counts
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for i, count := range counts {
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v := nan
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if count > 0 && count >= xff {
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v = float64(count)
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}
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values[i] = v
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}
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return values
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}
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type aggrStateRange struct {
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pointsLen int
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mins []float64
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maxs []float64
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counts []int
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seriesTotal int
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}
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func newAggrStateRange(pointsLen int) aggrState {
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return &aggrStateRange{
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pointsLen: pointsLen,
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mins: make([]float64, pointsLen),
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maxs: make([]float64, pointsLen),
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counts: make([]int, pointsLen),
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}
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}
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func (as *aggrStateRange) Update(values []float64) {
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if len(values) != as.pointsLen {
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panic(fmt.Errorf("BUG: unexpected number of points in values; got %d; want %d", len(values), as.pointsLen))
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}
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mins := as.mins
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maxs := as.maxs
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counts := as.counts
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for i, v := range values {
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if math.IsNaN(v) {
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continue
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}
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counts[i]++
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if counts[i] == 1 {
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mins[i] = v
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maxs[i] = v
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} else if v < mins[i] {
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mins[i] = v
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} else if v > maxs[i] {
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maxs[i] = v
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}
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}
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as.seriesTotal++
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}
|
|
|
|
func (as *aggrStateRange) Finalize(xFilesFactor float64) []float64 {
|
|
xff := int(xFilesFactor * float64(as.seriesTotal))
|
|
values := make([]float64, as.pointsLen)
|
|
mins := as.mins
|
|
maxs := as.maxs
|
|
counts := as.counts
|
|
for i, count := range counts {
|
|
v := nan
|
|
if count > 0 && count >= xff {
|
|
v = maxs[i] - mins[i]
|
|
}
|
|
values[i] = v
|
|
}
|
|
return values
|
|
}
|
|
|
|
type aggrStateMultiply struct {
|
|
pointsLen int
|
|
ms []float64
|
|
counts []int
|
|
seriesTotal int
|
|
}
|
|
|
|
func newAggrStateMultiply(pointsLen int) aggrState {
|
|
return &aggrStateMultiply{
|
|
pointsLen: pointsLen,
|
|
ms: make([]float64, pointsLen),
|
|
counts: make([]int, pointsLen),
|
|
}
|
|
}
|
|
|
|
func (as *aggrStateMultiply) Update(values []float64) {
|
|
if len(values) != as.pointsLen {
|
|
panic(fmt.Errorf("BUG: unexpected number of points in values; got %d; want %d", len(values), as.pointsLen))
|
|
}
|
|
ms := as.ms
|
|
counts := as.counts
|
|
for i, v := range values {
|
|
if math.IsNaN(v) {
|
|
continue
|
|
}
|
|
counts[i]++
|
|
if counts[i] == 1 {
|
|
ms[i] = v
|
|
} else {
|
|
ms[i] *= v
|
|
}
|
|
}
|
|
as.seriesTotal++
|
|
}
|
|
|
|
func (as *aggrStateMultiply) Finalize(xFilesFactor float64) []float64 {
|
|
xff := int(xFilesFactor * float64(as.seriesTotal))
|
|
values := make([]float64, as.pointsLen)
|
|
ms := as.ms
|
|
counts := as.counts
|
|
for i, count := range counts {
|
|
v := nan
|
|
if count > 0 && count >= xff {
|
|
v = ms[i]
|
|
}
|
|
values[i] = v
|
|
}
|
|
return values
|
|
}
|
|
|
|
type aggrStateFirst struct {
|
|
pointsLen int
|
|
vs []float64
|
|
counts []int
|
|
seriesTotal int
|
|
}
|
|
|
|
func newAggrStateFirst(pointsLen int) aggrState {
|
|
return &aggrStateFirst{
|
|
pointsLen: pointsLen,
|
|
vs: make([]float64, pointsLen),
|
|
counts: make([]int, pointsLen),
|
|
}
|
|
}
|
|
|
|
func (as *aggrStateFirst) Update(values []float64) {
|
|
if len(values) != as.pointsLen {
|
|
panic(fmt.Errorf("BUG: unexpected number of points in values; got %d; want %d", len(values), as.pointsLen))
|
|
}
|
|
vs := as.vs
|
|
counts := as.counts
|
|
for i, v := range values {
|
|
if math.IsNaN(v) {
|
|
continue
|
|
}
|
|
counts[i]++
|
|
if counts[i] == 1 {
|
|
vs[i] = v
|
|
}
|
|
}
|
|
as.seriesTotal++
|
|
}
|
|
|
|
func (as *aggrStateFirst) Finalize(xFilesFactor float64) []float64 {
|
|
xff := int(xFilesFactor * float64(as.seriesTotal))
|
|
values := make([]float64, as.pointsLen)
|
|
vs := as.vs
|
|
counts := as.counts
|
|
for i, count := range counts {
|
|
v := nan
|
|
if count > 0 && count >= xff {
|
|
v = vs[i]
|
|
}
|
|
values[i] = v
|
|
}
|
|
return values
|
|
}
|
|
|
|
type aggrStateLast struct {
|
|
pointsLen int
|
|
vs []float64
|
|
counts []int
|
|
seriesTotal int
|
|
}
|
|
|
|
func newAggrStateLast(pointsLen int) aggrState {
|
|
return &aggrStateLast{
|
|
pointsLen: pointsLen,
|
|
vs: make([]float64, pointsLen),
|
|
counts: make([]int, pointsLen),
|
|
}
|
|
}
|
|
|
|
func (as *aggrStateLast) Update(values []float64) {
|
|
if len(values) != as.pointsLen {
|
|
panic(fmt.Errorf("BUG: unexpected number of points in values; got %d; want %d", len(values), as.pointsLen))
|
|
}
|
|
vs := as.vs
|
|
counts := as.counts
|
|
for i, v := range values {
|
|
if math.IsNaN(v) {
|
|
continue
|
|
}
|
|
vs[i] = v
|
|
counts[i]++
|
|
}
|
|
as.seriesTotal++
|
|
}
|
|
|
|
func (as *aggrStateLast) Finalize(xFilesFactor float64) []float64 {
|
|
xff := int(xFilesFactor * float64(as.seriesTotal))
|
|
values := make([]float64, as.pointsLen)
|
|
vs := as.vs
|
|
counts := as.counts
|
|
for i, count := range counts {
|
|
v := nan
|
|
if count > 0 && count >= xff {
|
|
v = vs[i]
|
|
}
|
|
values[i] = v
|
|
}
|
|
return values
|
|
}
|