2024-04-29 01:20:43 +00:00
|
|
|
package logstorage
|
|
|
|
|
|
|
|
import (
|
|
|
|
"fmt"
|
|
|
|
"math"
|
|
|
|
"slices"
|
|
|
|
"strconv"
|
|
|
|
"unsafe"
|
|
|
|
)
|
|
|
|
|
|
|
|
type statsSum struct {
|
|
|
|
fields []string
|
|
|
|
containsStar bool
|
|
|
|
resultName string
|
|
|
|
}
|
|
|
|
|
|
|
|
func (ss *statsSum) String() string {
|
|
|
|
return "sum(" + fieldNamesString(ss.fields) + ") as " + quoteTokenIfNeeded(ss.resultName)
|
|
|
|
}
|
|
|
|
|
|
|
|
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{
|
|
|
|
ss: ss,
|
|
|
|
}
|
|
|
|
return ssp, int(unsafe.Sizeof(*ssp))
|
|
|
|
}
|
|
|
|
|
|
|
|
type statsSumProcessor struct {
|
|
|
|
ss *statsSum
|
|
|
|
|
|
|
|
sum float64
|
|
|
|
}
|
|
|
|
|
|
|
|
func (ssp *statsSumProcessor) updateStatsForAllRows(timestamps []int64, columns []BlockColumn) int {
|
|
|
|
if ssp.ss.containsStar {
|
|
|
|
// Sum all the columns
|
|
|
|
for _, c := range columns {
|
|
|
|
ssp.sum += sumValues(c.Values)
|
|
|
|
}
|
|
|
|
return 0
|
|
|
|
}
|
|
|
|
|
|
|
|
// Sum the requested columns
|
|
|
|
for _, field := range ssp.ss.fields {
|
|
|
|
if idx := getBlockColumnIndex(columns, field); idx >= 0 {
|
|
|
|
ssp.sum += sumValues(columns[idx].Values)
|
|
|
|
}
|
|
|
|
}
|
|
|
|
return 0
|
|
|
|
}
|
|
|
|
|
|
|
|
func sumValues(values []string) float64 {
|
|
|
|
sum := float64(0)
|
|
|
|
f := float64(0)
|
|
|
|
for i, v := range values {
|
|
|
|
if i == 0 || values[i-1] != v {
|
|
|
|
f, _ = tryParseFloat64(v)
|
|
|
|
if math.IsNaN(f) {
|
|
|
|
// Ignore NaN values, since this is the expected behaviour by most users.
|
|
|
|
f = 0
|
|
|
|
}
|
|
|
|
}
|
|
|
|
sum += f
|
|
|
|
}
|
|
|
|
return sum
|
|
|
|
}
|
|
|
|
|
|
|
|
func (ssp *statsSumProcessor) updateStatsForRow(_ []int64, columns []BlockColumn, rowIdx int) int {
|
|
|
|
if ssp.ss.containsStar {
|
|
|
|
// Sum all the fields for the given row
|
|
|
|
for _, c := range columns {
|
|
|
|
v := c.Values[rowIdx]
|
|
|
|
f, _ := tryParseFloat64(v)
|
|
|
|
if !math.IsNaN(f) {
|
|
|
|
ssp.sum += f
|
|
|
|
}
|
|
|
|
}
|
|
|
|
return 0
|
|
|
|
}
|
|
|
|
|
|
|
|
// Sum only the given fields for the given row
|
|
|
|
for _, field := range ssp.ss.fields {
|
|
|
|
if idx := getBlockColumnIndex(columns, field); idx >= 0 {
|
|
|
|
v := columns[idx].Values[rowIdx]
|
|
|
|
f, _ := tryParseFloat64(v)
|
|
|
|
if !math.IsNaN(f) {
|
|
|
|
ssp.sum += f
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
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
|
|
|
|
}
|
|
|
|
|
|
|
|
func (ssp *statsSumProcessor) finalizeStats() (string, string) {
|
|
|
|
value := strconv.FormatFloat(ssp.sum, 'g', -1, 64)
|
|
|
|
return ssp.ss.resultName, value
|
|
|
|
}
|
|
|
|
|
|
|
|
func parseStatsSum(lex *lexer) (*statsSum, error) {
|
|
|
|
lex.nextToken()
|
|
|
|
fields, err := parseFieldNamesInParens(lex)
|
|
|
|
if err != nil {
|
|
|
|
return nil, fmt.Errorf("cannot parse 'sum' args: %w", err)
|
|
|
|
}
|
|
|
|
if len(fields) == 0 {
|
|
|
|
return nil, fmt.Errorf("'sum' must contain at least one arg")
|
|
|
|
}
|
|
|
|
resultName, err := parseResultName(lex)
|
|
|
|
if err != nil {
|
|
|
|
return nil, fmt.Errorf("cannot parse result name: %w", err)
|
|
|
|
}
|
|
|
|
ss := &statsSum{
|
|
|
|
fields: fields,
|
|
|
|
containsStar: slices.Contains(fields, "*"),
|
|
|
|
resultName: resultName,
|
|
|
|
}
|
|
|
|
return ss, nil
|
|
|
|
}
|