VictoriaMetrics/lib/logstorage/stats_sum.go

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package logstorage
import (
"math"
"slices"
"strconv"
"unsafe"
)
type statsSum struct {
fields []string
containsStar bool
}
func (ss *statsSum) String() string {
return "sum(" + fieldNamesString(ss.fields) + ")"
}
func (ss *statsSum) neededFields() []string {
return ss.fields
}
func (ss *statsSum) newStatsProcessor() (statsProcessor, int) {
ssp := &statsSumProcessor{
ss: ss,
sum: nan,
}
return ssp, int(unsafe.Sizeof(*ssp))
}
type statsSumProcessor struct {
ss *statsSum
sum float64
}
func (ssp *statsSumProcessor) updateStatsForAllRows(br *blockResult) int {
if ssp.ss.containsStar {
// Sum all the columns
for _, c := range br.getColumns() {
f, count := c.sumValues(br)
if count > 0 {
if math.IsNaN(ssp.sum) {
ssp.sum = f
} else {
ssp.sum += f
}
}
}
} else {
// Sum the requested columns
for _, field := range ssp.ss.fields {
c := br.getColumnByName(field)
f, count := c.sumValues(br)
if count > 0 {
if math.IsNaN(ssp.sum) {
ssp.sum = f
} else {
ssp.sum += f
}
}
}
}
return 0
}
func (ssp *statsSumProcessor) updateStatsForRow(br *blockResult, rowIdx int) int {
if ssp.ss.containsStar {
// Sum all the fields for the given row
for _, c := range br.getColumns() {
f := c.getFloatValueAtRow(rowIdx)
if !math.IsNaN(f) {
if math.IsNaN(ssp.sum) {
ssp.sum = f
} else {
ssp.sum += f
}
}
}
} else {
// Sum only the given fields for the given row
for _, field := range ssp.ss.fields {
c := br.getColumnByName(field)
f := c.getFloatValueAtRow(rowIdx)
if !math.IsNaN(f) {
if math.IsNaN(ssp.sum) {
ssp.sum = f
} else {
ssp.sum += f
}
}
}
}
return 0
}
func (ssp *statsSumProcessor) mergeState(sfp statsProcessor) {
src := sfp.(*statsSumProcessor)
ssp.sum += src.sum
}
func (ssp *statsSumProcessor) finalizeStats() string {
return strconv.FormatFloat(ssp.sum, 'f', -1, 64)
}
func parseStatsSum(lex *lexer) (*statsSum, error) {
fields, err := parseFieldNamesForStatsFunc(lex, "sum")
if err != nil {
return nil, err
}
ss := &statsSum{
fields: fields,
containsStar: slices.Contains(fields, "*"),
}
return ss, nil
}