mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
synced 2024-11-21 14:44:00 +00:00
28626db066
(cherry picked from commit 0aa19a2837
)
215 lines
4 KiB
Go
215 lines
4 KiB
Go
package logstorage
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import (
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"fmt"
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"math"
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"slices"
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"strconv"
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"unsafe"
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"github.com/valyala/fastrand"
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)
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type statsQuantile struct {
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fields []string
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containsStar bool
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phi float64
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}
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func (sq *statsQuantile) String() string {
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return fmt.Sprintf("quantile(%g, %s)", sq.phi, fieldNamesString(sq.fields))
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}
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func (sq *statsQuantile) neededFields() []string {
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return sq.fields
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}
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func (sq *statsQuantile) newStatsProcessor() (statsProcessor, int) {
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sqp := &statsQuantileProcessor{
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sq: sq,
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}
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return sqp, int(unsafe.Sizeof(*sqp))
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}
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type statsQuantileProcessor struct {
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sq *statsQuantile
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h histogram
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}
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func (sqp *statsQuantileProcessor) updateStatsForAllRows(br *blockResult) int {
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h := &sqp.h
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stateSizeIncrease := 0
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if sqp.sq.containsStar {
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for _, c := range br.getColumns() {
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for _, v := range c.getValues(br) {
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f, ok := tryParseFloat64(v)
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if ok {
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stateSizeIncrease += h.update(f)
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}
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}
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}
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} else {
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for _, field := range sqp.sq.fields {
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c := br.getColumnByName(field)
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for _, v := range c.getValues(br) {
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f, ok := tryParseFloat64(v)
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if ok {
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stateSizeIncrease += h.update(f)
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}
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}
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}
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}
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return stateSizeIncrease
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}
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func (sqp *statsQuantileProcessor) updateStatsForRow(br *blockResult, rowIdx int) int {
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h := &sqp.h
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stateSizeIncrease := 0
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if sqp.sq.containsStar {
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for _, c := range br.getColumns() {
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f := c.getFloatValueAtRow(rowIdx)
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if !math.IsNaN(f) {
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stateSizeIncrease += h.update(f)
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}
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}
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} else {
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for _, field := range sqp.sq.fields {
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c := br.getColumnByName(field)
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f := c.getFloatValueAtRow(rowIdx)
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if !math.IsNaN(f) {
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stateSizeIncrease += h.update(f)
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}
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}
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}
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return stateSizeIncrease
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}
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func (sqp *statsQuantileProcessor) mergeState(sfp statsProcessor) {
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src := sfp.(*statsQuantileProcessor)
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sqp.h.mergeState(&src.h)
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}
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func (sqp *statsQuantileProcessor) finalizeStats() string {
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q := sqp.h.quantile(sqp.sq.phi)
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return strconv.FormatFloat(q, 'f', -1, 64)
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}
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func parseStatsQuantile(lex *lexer) (*statsQuantile, error) {
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if !lex.isKeyword("quantile") {
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return nil, fmt.Errorf("unexpected token: %q; want %q", lex.token, "quantile")
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}
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lex.nextToken()
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fields, err := parseFieldNamesInParens(lex)
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if err != nil {
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return nil, fmt.Errorf("cannot parse 'quantile' args: %w", err)
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}
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if len(fields) < 2 {
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return nil, fmt.Errorf("'quantile' must have at least two args: phi and field name")
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}
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// Parse phi
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phi, ok := tryParseFloat64(fields[0])
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if !ok {
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return nil, fmt.Errorf("phi arg in 'quantile' must be floating point number; got %q", fields[0])
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}
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if phi < 0 || phi > 1 {
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return nil, fmt.Errorf("phi arg in 'quantile' must be in the range [0..1]; got %q", fields[0])
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}
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// Parse fields
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fields = fields[1:]
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if slices.Contains(fields, "*") {
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fields = []string{"*"}
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}
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sq := &statsQuantile{
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fields: fields,
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containsStar: slices.Contains(fields, "*"),
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phi: phi,
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}
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return sq, nil
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}
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type histogram struct {
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a []float64
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min float64
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max float64
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count uint64
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rng fastrand.RNG
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}
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func (h *histogram) update(f float64) int {
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if h.count == 0 || f < h.min {
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h.min = f
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}
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if h.count == 0 || f > h.max {
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h.max = f
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}
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h.count++
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if len(h.a) < maxHistogramSamples {
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h.a = append(h.a, f)
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return int(unsafe.Sizeof(f))
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}
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if n := h.rng.Uint32n(uint32(h.count)); n < uint32(len(h.a)) {
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h.a[n] = f
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}
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return 0
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}
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const maxHistogramSamples = 100_000
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func (h *histogram) mergeState(src *histogram) {
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if src.count == 0 {
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// Nothing to merge
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return
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}
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if h.count == 0 {
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h.a = append(h.a, src.a...)
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h.min = src.min
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h.max = src.max
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h.count = src.count
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return
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}
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h.a = append(h.a, src.a...)
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if src.min < h.min {
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h.min = src.min
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}
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if src.max > h.max {
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h.max = src.max
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}
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h.count += src.count
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}
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func (h *histogram) quantile(phi float64) float64 {
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if len(h.a) == 0 {
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return nan
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}
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if len(h.a) == 1 {
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return h.a[0]
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}
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if phi <= 0 {
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return h.min
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}
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if phi >= 1 {
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return h.max
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}
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slices.Sort(h.a)
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idx := int(phi * float64(len(h.a)))
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if idx == len(h.a) {
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return h.max
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}
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return h.a[idx]
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}
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