121 lines
4.1 KiB
Go

package delta
import (
"fmt"
v4 "go.signoz.io/signoz/pkg/query-service/app/metrics/v4"
"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"
)
// prepareTimeAggregationSubQueryTimeSeries builds the sub-query to be used for temporal aggregation
func prepareTimeAggregationSubQuery(start, end, step int64, mq *v3.BuilderQuery) (string, error) {
var subQuery string
timeSeriesSubQuery, err := v4.PrepareTimeseriesFilterQuery(mq)
if err != nil {
return "", err
}
samplesTableFilter := fmt.Sprintf("metric_name = %s AND timestamp_ms >= %d AND timestamp_ms <= %d", utils.ClickHouseFormattedValue(mq.AggregateAttribute.Key), start, end)
// Select the aggregate value for interval
queryTmpl :=
"SELECT fingerprint, %s" +
" toStartOfInterval(toDateTime(intDiv(timestamp_ms, 1000)), INTERVAL %d SECOND) as ts," +
" %s as per_series_value" +
" FROM " + constants.SIGNOZ_METRIC_DBNAME + "." + constants.SIGNOZ_SAMPLES_TABLENAME +
" INNER JOIN" +
" (%s) as filtered_time_series" +
" USING fingerprint" +
" WHERE " + samplesTableFilter +
" GROUP BY fingerprint, ts" +
" ORDER BY fingerprint, ts"
var selectLabelsAny string
for _, tag := range mq.GroupBy {
selectLabelsAny += fmt.Sprintf("any(%s) as %s,", tag.Key, tag.Key)
}
var selectLabels string
for _, tag := range mq.GroupBy {
selectLabels += tag.Key + ","
}
switch mq.TimeAggregation {
case v3.TimeAggregationAvg:
op := "avg(value)"
subQuery = fmt.Sprintf(queryTmpl, selectLabelsAny, step, op, timeSeriesSubQuery)
case v3.TimeAggregationSum:
op := "sum(value)"
subQuery = fmt.Sprintf(queryTmpl, selectLabelsAny, step, op, timeSeriesSubQuery)
case v3.TimeAggregationMin:
op := "min(value)"
subQuery = fmt.Sprintf(queryTmpl, selectLabelsAny, step, op, timeSeriesSubQuery)
case v3.TimeAggregationMax:
op := "max(value)"
subQuery = fmt.Sprintf(queryTmpl, selectLabelsAny, step, op, timeSeriesSubQuery)
case v3.TimeAggregationCount:
op := "count(value)"
subQuery = fmt.Sprintf(queryTmpl, selectLabelsAny, step, op, timeSeriesSubQuery)
case v3.TimeAggregationCountDistinct:
op := "count(distinct(value))"
subQuery = fmt.Sprintf(queryTmpl, selectLabelsAny, step, op, timeSeriesSubQuery)
case v3.TimeAggregationAnyLast:
op := "anyLast(value)"
subQuery = fmt.Sprintf(queryTmpl, selectLabelsAny, step, op, timeSeriesSubQuery)
case v3.TimeAggregationRate:
op := fmt.Sprintf("sum(value)/%d", step)
subQuery = fmt.Sprintf(queryTmpl, selectLabelsAny, step, op, timeSeriesSubQuery)
case v3.TimeAggregationIncrease:
op := "sum(value)"
subQuery = fmt.Sprintf(queryTmpl, selectLabelsAny, step, op, timeSeriesSubQuery)
}
return subQuery, nil
}
// prepareMetricQueryDeltaTimeSeries builds the query to be used for fetching metrics
func prepareMetricQueryDeltaTimeSeries(start, end, step int64, mq *v3.BuilderQuery) (string, error) {
var query string
temporalAggSubQuery, err := prepareTimeAggregationSubQuery(start, end, step, mq)
if err != nil {
return "", err
}
groupBy := groupingSetsByAttributeKeyTags(mq.GroupBy...)
orderBy := orderByAttributeKeyTags(mq.OrderBy, mq.GroupBy)
selectLabels := groupByAttributeKeyTags(mq.GroupBy...)
queryTmpl :=
"SELECT %s," +
" %s as value" +
" FROM (%s)" +
" WHERE isNaN(per_series_value) = 0" +
" GROUP BY %s" +
" ORDER BY %s"
switch mq.SpaceAggregation {
case v3.SpaceAggregationAvg:
op := "avg(per_series_value)"
query = fmt.Sprintf(queryTmpl, selectLabels, op, temporalAggSubQuery, groupBy, orderBy)
case v3.SpaceAggregationSum:
op := "sum(per_series_value)"
query = fmt.Sprintf(queryTmpl, selectLabels, op, temporalAggSubQuery, groupBy, orderBy)
case v3.SpaceAggregationMin:
op := "min(per_series_value)"
query = fmt.Sprintf(queryTmpl, selectLabels, op, temporalAggSubQuery, groupBy, orderBy)
case v3.SpaceAggregationMax:
op := "max(per_series_value)"
query = fmt.Sprintf(queryTmpl, selectLabels, op, temporalAggSubQuery, groupBy, orderBy)
case v3.SpaceAggregationCount:
op := "count(per_series_value)"
query = fmt.Sprintf(queryTmpl, selectLabels, op, temporalAggSubQuery, groupBy, orderBy)
}
return query, nil
}