package logstorage import ( "math" "slices" "strconv" "unsafe" ) type statsMin struct { fields []string containsStar bool } func (sm *statsMin) String() string { return "min(" + fieldNamesString(sm.fields) + ")" } func (sm *statsMin) neededFields() []string { return sm.fields } func (sm *statsMin) newStatsProcessor() (statsProcessor, int) { smp := &statsMinProcessor{ sm: sm, min: nan, } return smp, int(unsafe.Sizeof(*smp)) } type statsMinProcessor struct { sm *statsMin min float64 } func (smp *statsMinProcessor) updateStatsForAllRows(br *blockResult) int { if smp.sm.containsStar { // Find the minimum value across all the columns for _, c := range br.getColumns() { f := c.getMinValue(br) if f < smp.min || math.IsNaN(smp.min) { smp.min = f } } } else { // Find the minimum value across the requested columns for _, field := range smp.sm.fields { c := br.getColumnByName(field) f := c.getMinValue(br) if f < smp.min || math.IsNaN(smp.min) { smp.min = f } } } return 0 } func (smp *statsMinProcessor) updateStatsForRow(br *blockResult, rowIdx int) int { if smp.sm.containsStar { // Find the minimum value across all the fields for the given row for _, c := range br.getColumns() { f := c.getFloatValueAtRow(rowIdx) if f < smp.min || math.IsNaN(smp.min) { smp.min = f } } } else { // Find the minimum value across the requested fields for the given row for _, field := range smp.sm.fields { c := br.getColumnByName(field) f := c.getFloatValueAtRow(rowIdx) if f < smp.min || math.IsNaN(smp.min) { smp.min = f } } } return 0 } func (smp *statsMinProcessor) mergeState(sfp statsProcessor) { src := sfp.(*statsMinProcessor) if src.min < smp.min { smp.min = src.min } } func (smp *statsMinProcessor) finalizeStats() string { return strconv.FormatFloat(smp.min, 'g', -1, 64) } func parseStatsMin(lex *lexer) (*statsMin, error) { fields, err := parseFieldNamesForStatsFunc(lex, "min") if err != nil { return nil, err } sm := &statsMin{ fields: fields, containsStar: slices.Contains(fields, "*"), } return sm, nil }