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 }