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volume.go
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volume.go
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package queryrange
import (
"context"
"sort"
"time"
"github.com/grafana/dskit/concurrency"
"github.com/prometheus/common/model"
"github.com/prometheus/prometheus/model/labels"
"github.com/grafana/loki/v3/pkg/loghttp"
"github.com/grafana/loki/v3/pkg/logproto"
"github.com/grafana/loki/v3/pkg/logql/syntax"
"github.com/grafana/loki/v3/pkg/logqlmodel/stats"
"github.com/grafana/loki/v3/pkg/querier/queryrange/queryrangebase"
"github.com/grafana/loki/v3/pkg/querier/queryrange/queryrangebase/definitions"
"github.com/grafana/loki/v3/pkg/storage/stores/index/seriesvolume"
"github.com/grafana/loki/v3/pkg/util"
)
func NewVolumeMiddleware() queryrangebase.Middleware {
return queryrangebase.MiddlewareFunc(func(next queryrangebase.Handler) queryrangebase.Handler {
return queryrangebase.HandlerFunc(func(ctx context.Context, req queryrangebase.Request) (queryrangebase.Response, error) {
volReq, ok := req.(*logproto.VolumeRequest)
if !ok {
return next.Do(ctx, req)
}
reqs := map[time.Time]queryrangebase.Request{}
startTS := volReq.From.Time()
endTS := volReq.Through.Time()
interval := time.Duration(volReq.Step * 1e6)
util.ForInterval(interval, startTS, endTS, true, func(start, end time.Time) {
// Always align to the end of the requested range
// For range queries, this aligns to the end of the period we're returning a bytes aggregation for
// For instant queries, which are for "this instant", this aligns to the end of the requested range
reqs[end] = &logproto.VolumeRequest{
From: model.TimeFromUnix(start.Unix()),
Through: model.TimeFromUnix(end.Unix()),
Matchers: volReq.Matchers,
Limit: volReq.Limit,
Step: volReq.Step,
TargetLabels: volReq.TargetLabels,
AggregateBy: volReq.AggregateBy,
}
})
type f func(context.Context) (time.Time, definitions.Response, error)
var jobs []f
for bucket, req := range reqs {
b, r := bucket, req
jobs = append(jobs, f(func(ctx context.Context) (time.Time, definitions.Response, error) {
resp, err := next.Do(ctx, r)
if err != nil {
return b, nil, err
}
return b, resp, nil
}))
}
// Update middleware stats
queryStatsCtx := stats.FromContext(ctx)
queryStatsCtx.AddSplitQueries(int64(len(jobs)))
collector := make(chan *bucketedVolumeResponse, len(jobs))
err := concurrency.ForEachJob(
ctx,
len(jobs),
len(jobs),
func(ctx context.Context, i int) error {
bucket, resp, err := jobs[i](ctx)
if resp == nil {
collector <- nil
return err
}
collector <- &bucketedVolumeResponse{
bucket, resp.(*VolumeResponse),
}
return err
})
close(collector)
if err != nil {
return nil, err
}
promResp := ToPrometheusResponse(collector, seriesvolume.AggregateBySeries(volReq.AggregateBy))
return promResp, nil
})
})
}
type bucketedVolumeResponse struct {
bucket time.Time
response *VolumeResponse
}
func ToPrometheusResponse(respsCh chan *bucketedVolumeResponse, aggregateBySeries bool) *LokiPromResponse {
var headers []*definitions.PrometheusResponseHeader
samplesByName := make(map[string][]logproto.LegacySample)
for bucketedVolumeResponse := range respsCh {
if bucketedVolumeResponse == nil {
continue
}
bucket, resp := bucketedVolumeResponse.bucket, bucketedVolumeResponse.response
if headers == nil {
headers := make([]*definitions.PrometheusResponseHeader, len(resp.Headers))
for i, header := range resp.Headers {
h := header
headers[i] = &h
}
}
for _, volume := range resp.Response.Volumes {
if _, ok := samplesByName[volume.Name]; !ok {
samplesByName[volume.Name] = make([]logproto.LegacySample, 0, 1)
}
samplesByName[volume.Name] = append(samplesByName[volume.Name], toPrometheusSample(volume, bucket))
}
}
promResponse := queryrangebase.PrometheusResponse{
Status: loghttp.QueryStatusSuccess,
Data: toPrometheusData(samplesByName, aggregateBySeries),
Headers: headers,
}
return &LokiPromResponse{
Response: &promResponse,
Statistics: stats.Result{},
}
}
func toPrometheusSample(volume logproto.Volume, t time.Time) logproto.LegacySample {
ts := model.TimeFromUnixNano(t.UnixNano())
return logproto.LegacySample{
Value: float64(volume.Volume),
TimestampMs: ts.UnixNano() / 1e6,
}
}
type sortableSampleStream struct {
name string
labels labels.Labels
samples []logproto.LegacySample
}
func toPrometheusData(series map[string][]logproto.LegacySample, aggregateBySeries bool) queryrangebase.PrometheusData {
resultType := loghttp.ResultTypeVector
sortableResult := make([]sortableSampleStream, 0, len(series))
for name, samples := range series {
if resultType == loghttp.ResultTypeVector && len(samples) > 1 {
resultType = loghttp.ResultTypeMatrix
}
var lbls labels.Labels
var err error
if aggregateBySeries {
lbls, err = syntax.ParseLabels(name)
} else {
lbls = labels.Labels{{
Name: name,
Value: "",
}}
}
if err != nil {
continue
}
sort.Slice(samples, func(i, j int) bool {
return samples[i].TimestampMs < samples[j].TimestampMs
})
sortableResult = append(sortableResult, sortableSampleStream{
name: name,
labels: lbls,
samples: samples,
})
}
sort.Slice(sortableResult, func(i, j int) bool {
// Sorting by value only helps instant queries so just grab the first value
if sortableResult[i].samples[0].Value == sortableResult[j].samples[0].Value {
return sortableResult[i].name < sortableResult[j].name
}
return sortableResult[i].samples[0].Value > sortableResult[j].samples[0].Value
})
result := make([]queryrangebase.SampleStream, 0, len(sortableResult))
for _, r := range sortableResult {
result = append(result, queryrangebase.SampleStream{
Labels: logproto.FromLabelsToLabelAdapters(r.labels),
Samples: r.samples,
})
}
return queryrangebase.PrometheusData{
ResultType: resultType,
Result: result,
}
}