package v3 import ( "fmt" "go.signoz.io/signoz/pkg/query-service/app/metrics/v4/helpers" "go.signoz.io/signoz/pkg/query-service/constants" v3 "go.signoz.io/signoz/pkg/query-service/model/v3" "go.signoz.io/signoz/pkg/query-service/utils" ) func buildDeltaMetricQuery(start, end, step int64, mq *v3.BuilderQuery) (string, error) { metricQueryGroupBy := mq.GroupBy if mq.Filters != nil { temporalityFound := false for _, filter := range mq.Filters.Items { if filter.Key.Key == "__temporality__" { temporalityFound = true break } } if !temporalityFound { mq.Filters.Items = append(mq.Filters.Items, v3.FilterItem{ Key: v3.AttributeKey{Key: "__temporality__"}, Operator: v3.FilterOperatorEqual, Value: "Delta", }) } } filterSubQuery, err := helpers.PrepareTimeseriesFilterQueryV3(start, end, mq) if err != nil { return "", err } samplesTableTimeFilter := fmt.Sprintf("metric_name = %s AND unix_milli >= %d AND unix_milli <= %d", utils.ClickHouseFormattedValue(mq.AggregateAttribute.Key), start, end) // Select the aggregate value for interval queryTmpl := "SELECT %s" + " toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL %d SECOND) as ts," + " %s as value" + " FROM " + constants.SIGNOZ_METRIC_DBNAME + "." + constants.SIGNOZ_SAMPLES_V4_TABLENAME + " INNER JOIN" + " (%s) as filtered_time_series" + " USING fingerprint" + " WHERE " + samplesTableTimeFilter + " GROUP BY %s" + " ORDER BY %s ts" // tagsWithoutLe is used to group by all tags except le // This is done because we want to group by le only when we are calculating quantile // Otherwise, we want to group by all tags except le tagsWithoutLe := []string{} for _, tag := range mq.GroupBy { if tag.Key != "le" { tagsWithoutLe = append(tagsWithoutLe, tag.Key) } } groupByWithoutLe := groupBy(tagsWithoutLe...) groupTagsWithoutLe := groupSelect(tagsWithoutLe...) orderWithoutLe := orderBy(mq.OrderBy, tagsWithoutLe) groupBy := groupByAttributeKeyTags(metricQueryGroupBy...) groupTags := groupSelectAttributeKeyTags(metricQueryGroupBy...) orderBy := orderByAttributeKeyTags(mq.OrderBy, metricQueryGroupBy) if len(orderBy) != 0 { orderBy += "," } if len(orderWithoutLe) != 0 { orderWithoutLe += "," } switch mq.AggregateOperator { case v3.AggregateOperatorRate: // Calculate rate of change of metric for each unique time series groupBy = "fingerprint, ts" orderBy = "fingerprint, " groupTags = "fingerprint," op := fmt.Sprintf("sum(value)/%d", step) query := fmt.Sprintf( queryTmpl, "any(labels) as fullLabels, "+groupTags, step, op, filterSubQuery, groupBy, orderBy, ) // labels will be same so any should be fine return query, nil case v3.AggregateOperatorSumRate, v3.AggregateOperatorAvgRate, v3.AggregateOperatorMaxRate, v3.AggregateOperatorMinRate: op := fmt.Sprintf("%s(value)/%d", aggregateOperatorToSQLFunc[mq.AggregateOperator], step) query := fmt.Sprintf( queryTmpl, groupTags, step, op, filterSubQuery, groupBy, orderBy, ) return query, nil case v3.AggregateOperatorRateSum, v3.AggregateOperatorRateMax, v3.AggregateOperatorRateAvg, v3.AggregateOperatorRateMin: op := fmt.Sprintf("%s(value)/%d", aggregateOperatorToSQLFunc[mq.AggregateOperator], step) query := fmt.Sprintf( queryTmpl, groupTags, step, op, filterSubQuery, groupBy, orderBy, ) return query, nil case v3.AggregateOperatorP05, v3.AggregateOperatorP10, v3.AggregateOperatorP20, v3.AggregateOperatorP25, v3.AggregateOperatorP50, v3.AggregateOperatorP75, v3.AggregateOperatorP90, v3.AggregateOperatorP95, v3.AggregateOperatorP99: op := fmt.Sprintf("quantile(%v)(value)", aggregateOperatorToPercentile[mq.AggregateOperator]) query := fmt.Sprintf(queryTmpl, groupTags, step, op, filterSubQuery, groupBy, orderBy) return query, nil case v3.AggregateOperatorHistQuant50, v3.AggregateOperatorHistQuant75, v3.AggregateOperatorHistQuant90, v3.AggregateOperatorHistQuant95, v3.AggregateOperatorHistQuant99: op := fmt.Sprintf("sum(value)/%d", step) query := fmt.Sprintf( queryTmpl, groupTags, step, op, filterSubQuery, groupBy, orderBy, ) // labels will be same so any should be fine value := aggregateOperatorToPercentile[mq.AggregateOperator] query = fmt.Sprintf(`SELECT %s ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), %.3f) as value FROM (%s) GROUP BY %s ORDER BY %s ts`, groupTagsWithoutLe, value, query, groupByWithoutLe, orderWithoutLe) return query, nil case v3.AggregateOperatorAvg, v3.AggregateOperatorSum, v3.AggregateOperatorMin, v3.AggregateOperatorMax: op := fmt.Sprintf("%s(value)", aggregateOperatorToSQLFunc[mq.AggregateOperator]) query := fmt.Sprintf(queryTmpl, groupTags, step, op, filterSubQuery, groupBy, orderBy) return query, nil case v3.AggregateOperatorCount: op := "toFloat64(count(*))" query := fmt.Sprintf(queryTmpl, groupTags, step, op, filterSubQuery, groupBy, orderBy) return query, nil case v3.AggregateOperatorCountDistinct: op := "toFloat64(count(distinct(value)))" query := fmt.Sprintf(queryTmpl, groupTags, step, op, filterSubQuery, groupBy, orderBy) return query, nil case v3.AggregateOperatorNoOp: queryTmpl := "SELECT fingerprint, labels as fullLabels," + " toStartOfInterval(toDateTime(intDiv(unix_milli, 1000)), INTERVAL %d SECOND) as ts," + " any(value) as value" + " FROM " + constants.SIGNOZ_METRIC_DBNAME + "." + constants.SIGNOZ_SAMPLES_V4_TABLENAME + " INNER JOIN" + " (%s) as filtered_time_series" + " USING fingerprint" + " WHERE " + samplesTableTimeFilter + " GROUP BY fingerprint, labels, ts" + " ORDER BY fingerprint, labels, ts" query := fmt.Sprintf(queryTmpl, step, filterSubQuery) return query, nil default: return "", fmt.Errorf("unsupported aggregate operator") } }