VictoriaMetrics/lib/logstorage/stats_uniq_values.go

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package logstorage
import (
"fmt"
"slices"
"strconv"
"strings"
"unsafe"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
)
type statsUniqValues struct {
fields []string
containsStar bool
limit uint64
}
func (su *statsUniqValues) String() string {
s := "uniq_values(" + fieldNamesString(su.fields) + ")"
if su.limit > 0 {
s += fmt.Sprintf(" limit %d", su.limit)
}
return s
}
func (su *statsUniqValues) neededFields() []string {
return su.fields
}
func (su *statsUniqValues) newStatsProcessor() (statsProcessor, int) {
sup := &statsUniqValuesProcessor{
su: su,
m: make(map[string]struct{}),
}
return sup, int(unsafe.Sizeof(*sup))
}
type statsUniqValuesProcessor struct {
su *statsUniqValues
m map[string]struct{}
}
func (sup *statsUniqValuesProcessor) updateStatsForAllRows(br *blockResult) int {
if sup.limitReached() {
// Limit on the number of unique values has been reached
return 0
}
stateSizeIncrease := 0
if sup.su.containsStar {
for _, c := range br.getColumns() {
stateSizeIncrease += sup.updateStatsForAllRowsColumn(c, br)
}
} else {
for _, field := range sup.su.fields {
c := br.getColumnByName(field)
stateSizeIncrease += sup.updateStatsForAllRowsColumn(c, br)
}
}
return stateSizeIncrease
}
func (sup *statsUniqValuesProcessor) updateStatsForAllRowsColumn(c *blockResultColumn, br *blockResult) int {
m := sup.m
stateSizeIncrease := 0
if c.isConst {
// collect unique const values
v := c.encodedValues[0]
if v == "" {
// skip empty values
return stateSizeIncrease
}
if _, ok := m[v]; !ok {
vCopy := strings.Clone(v)
m[vCopy] = struct{}{}
stateSizeIncrease += len(vCopy) + int(unsafe.Sizeof(vCopy))
}
return stateSizeIncrease
}
if c.valueType == valueTypeDict {
// collect unique non-zero c.dictValues
for _, v := range c.dictValues {
if v == "" {
// skip empty values
continue
}
if _, ok := m[v]; !ok {
vCopy := strings.Clone(v)
m[vCopy] = struct{}{}
stateSizeIncrease += len(vCopy) + int(unsafe.Sizeof(vCopy))
}
}
return stateSizeIncrease
}
// slow path - collect unique values across all rows
values := c.getValues(br)
for i, v := range values {
if v == "" {
// skip empty values
continue
}
if i > 0 && values[i-1] == v {
// This value has been already counted.
continue
}
if _, ok := m[v]; !ok {
vCopy := strings.Clone(v)
m[vCopy] = struct{}{}
stateSizeIncrease += len(vCopy) + int(unsafe.Sizeof(vCopy))
}
}
return stateSizeIncrease
}
func (sup *statsUniqValuesProcessor) updateStatsForRow(br *blockResult, rowIdx int) int {
if sup.limitReached() {
// Limit on the number of unique values has been reached
return 0
}
stateSizeIncrease := 0
if sup.su.containsStar {
for _, c := range br.getColumns() {
stateSizeIncrease += sup.updateStatsForRowColumn(c, br, rowIdx)
}
} else {
for _, field := range sup.su.fields {
c := br.getColumnByName(field)
stateSizeIncrease += sup.updateStatsForRowColumn(c, br, rowIdx)
}
}
return stateSizeIncrease
}
func (sup *statsUniqValuesProcessor) updateStatsForRowColumn(c *blockResultColumn, br *blockResult, rowIdx int) int {
m := sup.m
stateSizeIncrease := 0
if c.isConst {
// collect unique const values
v := c.encodedValues[0]
if v == "" {
// skip empty values
return stateSizeIncrease
}
if _, ok := m[v]; !ok {
vCopy := strings.Clone(v)
m[vCopy] = struct{}{}
stateSizeIncrease += len(vCopy) + int(unsafe.Sizeof(vCopy))
}
return stateSizeIncrease
}
if c.valueType == valueTypeDict {
// collect unique non-zero c.dictValues
dictIdx := c.encodedValues[rowIdx][0]
v := c.dictValues[dictIdx]
if v == "" {
// skip empty values
return stateSizeIncrease
}
if _, ok := m[v]; !ok {
vCopy := strings.Clone(v)
m[vCopy] = struct{}{}
stateSizeIncrease += len(vCopy) + int(unsafe.Sizeof(vCopy))
}
return stateSizeIncrease
}
// collect unique values for the given rowIdx.
v := c.getValueAtRow(br, rowIdx)
if v == "" {
// skip empty values
return stateSizeIncrease
}
if _, ok := m[v]; !ok {
vCopy := strings.Clone(v)
m[vCopy] = struct{}{}
stateSizeIncrease += len(vCopy) + int(unsafe.Sizeof(vCopy))
}
return stateSizeIncrease
}
func (sup *statsUniqValuesProcessor) mergeState(sfp statsProcessor) {
if sup.limitReached() {
return
}
src := sfp.(*statsUniqValuesProcessor)
m := sup.m
for k := range src.m {
if _, ok := m[k]; !ok {
m[k] = struct{}{}
}
}
}
func (sup *statsUniqValuesProcessor) finalizeStats() string {
if len(sup.m) == 0 {
return "[]"
}
// Sort unique items
items := make([]string, 0, len(sup.m))
for k := range sup.m {
items = append(items, k)
}
slices.SortFunc(items, compareValues)
if limit := sup.su.limit; limit > 0 && uint64(len(items)) > limit {
items = items[:limit]
}
return marshalJSONArray(items)
}
func (sup *statsUniqValuesProcessor) limitReached() bool {
limit := sup.su.limit
return limit > 0 && uint64(len(sup.m)) >= limit
}
func marshalJSONArray(items []string) string {
// Pre-allocate buffer for serialized items.
// Assume that there is no need in quoting items. Otherwise additional reallocations
// for the allocated buffer are possible.
bufSize := len(items) + 1
for _, item := range items {
bufSize += len(item)
}
b := make([]byte, 0, bufSize)
b = append(b, '[')
b = strconv.AppendQuote(b, items[0])
for _, item := range items[1:] {
b = append(b, ',')
b = strconv.AppendQuote(b, item)
}
b = append(b, ']')
return bytesutil.ToUnsafeString(b)
}
func compareValues(a, b string) int {
fA, okA := tryParseFloat64(a)
fB, okB := tryParseFloat64(b)
if okA && okB {
if fA == fB {
return 0
}
if fA < fB {
return -1
}
return 1
}
if okA {
return -1
}
if okB {
return 1
}
return strings.Compare(a, b)
}
func parseStatsUniqValues(lex *lexer) (*statsUniqValues, error) {
fields, err := parseFieldNamesForStatsFunc(lex, "uniq_values")
if err != nil {
return nil, err
}
su := &statsUniqValues{
fields: fields,
containsStar: slices.Contains(fields, "*"),
}
if lex.isKeyword("limit") {
lex.nextToken()
n, ok := tryParseUint64(lex.token)
if !ok {
return nil, fmt.Errorf("cannot parse 'limit %s' for 'uniq_values': %w", lex.token, err)
}
lex.nextToken()
su.limit = n
}
return su, nil
}