VictoriaMetrics/lib/logstorage/stats_sum.go

117 lines
2.2 KiB
Go
Raw Normal View History

2024-04-29 01:20:43 +00:00
package logstorage
import (
"math"
"slices"
"strconv"
"unsafe"
)
type statsSum struct {
fields []string
containsStar bool
}
func (ss *statsSum) String() string {
2024-04-30 23:19:22 +00:00
return "sum(" + fieldNamesString(ss.fields) + ")"
2024-04-29 01:20:43 +00:00
}
func (ss *statsSum) neededFields() []string {
return ss.fields
}
2024-04-29 01:23:41 +00:00
func (ss *statsSum) newStatsProcessor() (statsProcessor, int) {
2024-04-29 01:20:43 +00:00
ssp := &statsSumProcessor{
2024-05-01 08:31:46 +00:00
ss: ss,
sum: nan,
2024-04-29 01:20:43 +00:00
}
return ssp, int(unsafe.Sizeof(*ssp))
}
type statsSumProcessor struct {
ss *statsSum
sum float64
}
2024-04-30 21:03:34 +00:00
func (ssp *statsSumProcessor) updateStatsForAllRows(br *blockResult) int {
2024-04-29 01:20:43 +00:00
if ssp.ss.containsStar {
// Sum all the columns
2024-04-30 21:03:34 +00:00
for _, c := range br.getColumns() {
2024-05-01 08:31:46 +00:00
f, count := c.sumValues(br)
if count > 0 {
if math.IsNaN(ssp.sum) {
ssp.sum = f
} else {
ssp.sum += f
}
}
2024-04-29 01:20:43 +00:00
}
2024-05-03 12:03:17 +00:00
} 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
}
2024-05-01 08:31:46 +00:00
}
}
2024-04-29 01:20:43 +00:00
}
return 0
}
2024-04-30 21:03:34 +00:00
func (ssp *statsSumProcessor) updateStatsForRow(br *blockResult, rowIdx int) int {
2024-04-29 01:20:43 +00:00
if ssp.ss.containsStar {
// Sum all the fields for the given row
2024-04-30 21:03:34 +00:00
for _, c := range br.getColumns() {
2024-05-15 11:07:15 +00:00
f, ok := c.getFloatValueAtRow(rowIdx)
if ok {
2024-05-01 08:31:46 +00:00
if math.IsNaN(ssp.sum) {
ssp.sum = f
} else {
ssp.sum += f
}
2024-04-29 01:20:43 +00:00
}
}
2024-05-03 12:03:17 +00:00
} else {
// Sum only the given fields for the given row
for _, field := range ssp.ss.fields {
c := br.getColumnByName(field)
2024-05-15 11:07:15 +00:00
f, ok := c.getFloatValueAtRow(rowIdx)
if ok {
2024-05-03 12:03:17 +00:00
if math.IsNaN(ssp.sum) {
ssp.sum = f
} else {
ssp.sum += f
}
2024-05-01 08:31:46 +00:00
}
2024-04-29 01:20:43 +00:00
}
}
return 0
}
2024-04-29 01:23:41 +00:00
func (ssp *statsSumProcessor) mergeState(sfp statsProcessor) {
2024-04-29 01:20:43 +00:00
src := sfp.(*statsSumProcessor)
ssp.sum += src.sum
}
2024-04-30 23:19:22 +00:00
func (ssp *statsSumProcessor) finalizeStats() string {
return strconv.FormatFloat(ssp.sum, 'f', -1, 64)
2024-04-29 01:20:43 +00:00
}
func parseStatsSum(lex *lexer) (*statsSum, error) {
2024-05-03 12:03:17 +00:00
fields, err := parseFieldNamesForStatsFunc(lex, "sum")
2024-04-29 01:20:43 +00:00
if err != nil {
2024-05-03 09:15:09 +00:00
return nil, err
2024-04-29 01:20:43 +00:00
}
ss := &statsSum{
fields: fields,
containsStar: slices.Contains(fields, "*"),
}
return ss, nil
}