func extractSummary(o *DecodeOptions, f *dto.MetricFamily) model.Vector {
samples := make(model.Vector, 0, len(f.Metric))
for _, m := range f.Metric {
if m.Summary == nil {
continue
}
timestamp := o.Timestamp
if m.TimestampMs != nil {
timestamp = model.TimeFromUnixNano(*m.TimestampMs * 1000000)
}
for _, q := range m.Summary.Quantile {
lset := make(model.LabelSet, len(m.Label)+2)
for _, p := range m.Label {
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
}
// BUG(matt): Update other names to "quantile".
lset[model.LabelName(model.QuantileLabel)] = model.LabelValue(fmt.Sprint(q.GetQuantile()))
lset[model.MetricNameLabel] = model.LabelValue(f.GetName())
samples = append(samples, &model.Sample{
Metric: model.Metric(lset),
Value: model.SampleValue(q.GetValue()),
Timestamp: timestamp,
})
}
if m.Summary.SampleSum != nil {
lset := make(model.LabelSet, len(m.Label)+1)
for _, p := range m.Label {
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
}
lset[model.MetricNameLabel] = model.LabelValue(f.GetName() + "_sum")
samples = append(samples, &model.Sample{
Metric: model.Metric(lset),
Value: model.SampleValue(m.Summary.GetSampleSum()),
Timestamp: timestamp,
})
}
if m.Summary.SampleCount != nil {
lset := make(model.LabelSet, len(m.Label)+1)
for _, p := range m.Label {
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
}
lset[model.MetricNameLabel] = model.LabelValue(f.GetName() + "_count")
samples = append(samples, &model.Sample{
Metric: model.Metric(lset),
Value: model.SampleValue(m.Summary.GetSampleCount()),
Timestamp: timestamp,
})
}
}
return samples
}
func (p *persistence) rebuildLabelIndexes(
fpToSeries map[model.Fingerprint]*memorySeries,
) error {
count := 0
log.Info("Rebuilding label indexes.")
log.Info("Indexing metrics in memory.")
for fp, s := range fpToSeries {
p.indexMetric(fp, s.metric)
count++
if count%10000 == 0 {
log.Infof("%d metrics queued for indexing.", count)
}
}
log.Info("Indexing archived metrics.")
var fp codable.Fingerprint
var m codable.Metric
if err := p.archivedFingerprintToMetrics.ForEach(func(kv index.KeyValueAccessor) error {
if err := kv.Key(&fp); err != nil {
return err
}
if err := kv.Value(&m); err != nil {
return err
}
p.indexMetric(model.Fingerprint(fp), model.Metric(m))
count++
if count%10000 == 0 {
log.Infof("%d metrics queued for indexing.", count)
}
return nil
}); err != nil {
return err
}
log.Info("All requests for rebuilding the label indexes queued. (Actual processing may lag behind.)")
return nil
}
func extractUntyped(o *DecodeOptions, f *dto.MetricFamily) model.Vector {
samples := make(model.Vector, 0, len(f.Metric))
for _, m := range f.Metric {
if m.Untyped == nil {
continue
}
lset := make(model.LabelSet, len(m.Label)+1)
for _, p := range m.Label {
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
}
lset[model.MetricNameLabel] = model.LabelValue(f.GetName())
smpl := &model.Sample{
Metric: model.Metric(lset),
Value: model.SampleValue(m.Untyped.GetValue()),
}
if m.TimestampMs != nil {
smpl.Timestamp = model.TimeFromUnixNano(*m.TimestampMs * 1000000)
} else {
smpl.Timestamp = o.Timestamp
}
samples = append(samples, smpl)
}
return samples
}
// Append implements storage.SampleAppender. Always returns nil.
func (s *ReloadableStorage) Append(smpl *model.Sample) error {
s.mtx.RLock()
defer s.mtx.RUnlock()
if s.queue == nil {
return nil
}
var snew model.Sample
snew = *smpl
snew.Metric = smpl.Metric.Clone()
for ln, lv := range s.externalLabels {
if _, ok := smpl.Metric[ln]; !ok {
snew.Metric[ln] = lv
}
}
snew.Metric = model.Metric(
relabel.Process(model.LabelSet(snew.Metric), s.conf.WriteRelabelConfigs...))
if snew.Metric == nil {
return nil
}
s.queue.Append(&snew)
return nil
}
// Append implements storage.SampleAppender. Always returns nil.
func (s *Storage) Append(smpl *model.Sample) error {
s.mtx.RLock()
var snew model.Sample
snew = *smpl
snew.Metric = smpl.Metric.Clone()
for ln, lv := range s.externalLabels {
if _, ok := smpl.Metric[ln]; !ok {
snew.Metric[ln] = lv
}
}
snew.Metric = model.Metric(
relabel.Process(model.LabelSet(snew.Metric), s.relabelConfigs...))
s.mtx.RUnlock()
if snew.Metric == nil {
return nil
}
for _, q := range s.queues {
q.Append(&snew)
}
return nil
}
func (app relabelAppender) Append(s *model.Sample) error {
labels := relabel.Process(model.LabelSet(s.Metric), app.relabelings...)
// Check if the timeseries was dropped.
if labels == nil {
return nil
}
s.Metric = model.Metric(labels)
return app.SampleAppender.Append(s)
}
func (app relabelAppender) Append(s *model.Sample) error {
labels, err := Relabel(model.LabelSet(s.Metric), app.relabelings...)
if err != nil {
return fmt.Errorf("metric relabeling error %s: %s", s.Metric, err)
}
// Check if the timeseries was dropped.
if labels == nil {
return nil
}
s.Metric = model.Metric(labels)
return app.SampleAppender.Append(s)
}
func (app relabelAppender) Append(s *model.Sample) {
labels, err := Relabel(model.LabelSet(s.Metric), app.relabelings...)
if err != nil {
log.Errorf("Error while relabeling metric %s: %s", s.Metric, err)
return
}
// Check if the timeseries was dropped.
if labels == nil {
return
}
s.Metric = model.Metric(labels)
app.app.Append(s)
}
// metric parses a metric.
//
// <label_set>
// <metric_identifier> [<label_set>]
//
func (p *parser) metric() model.Metric {
name := ""
m := model.Metric{}
t := p.peek().typ
if t == itemIdentifier || t == itemMetricIdentifier {
name = p.next().val
t = p.peek().typ
}
if t != itemLeftBrace && name == "" {
p.errorf("missing metric name or metric selector")
}
if t == itemLeftBrace {
m = model.Metric(p.labelSet())
}
if name != "" {
m[model.MetricNameLabel] = model.LabelValue(name)
}
return m
}
func (r *AlertingRule) sample(alert *Alert, ts model.Time, set bool) *model.Sample {
metric := model.Metric(r.labels.Clone())
for ln, lv := range alert.Labels {
metric[ln] = lv
}
metric[model.MetricNameLabel] = alertMetricName
metric[model.AlertNameLabel] = model.LabelValue(r.name)
metric[alertStateLabel] = model.LabelValue(alert.State.String())
s := &model.Sample{
Metric: metric,
Timestamp: ts,
Value: 0,
}
if set {
s.Value = 1
}
return s
}
// scan works like bufio.Scanner.Scan.
func (hs *headsScanner) scan() bool {
if hs.seriesCurrent == hs.seriesTotal || hs.err != nil {
return false
}
var (
seriesFlags byte
fpAsInt uint64
metric codable.Metric
persistWatermark int64
modTimeNano int64
modTime time.Time
chunkDescsOffset int64
savedFirstTime int64
numChunkDescs int64
firstTime int64
lastTime int64
encoding byte
ch chunk.Chunk
lastTimeHead model.Time
)
if seriesFlags, hs.err = hs.r.ReadByte(); hs.err != nil {
return false
}
headChunkPersisted := seriesFlags&flagHeadChunkPersisted != 0
if fpAsInt, hs.err = codable.DecodeUint64(hs.r); hs.err != nil {
return false
}
hs.fp = model.Fingerprint(fpAsInt)
if hs.err = metric.UnmarshalFromReader(hs.r); hs.err != nil {
return false
}
if hs.version != headsFormatLegacyVersion {
// persistWatermark only present in v2.
persistWatermark, hs.err = binary.ReadVarint(hs.r)
if hs.err != nil {
return false
}
modTimeNano, hs.err = binary.ReadVarint(hs.r)
if hs.err != nil {
return false
}
if modTimeNano != -1 {
modTime = time.Unix(0, modTimeNano)
}
}
if chunkDescsOffset, hs.err = binary.ReadVarint(hs.r); hs.err != nil {
return false
}
if savedFirstTime, hs.err = binary.ReadVarint(hs.r); hs.err != nil {
return false
}
if numChunkDescs, hs.err = binary.ReadVarint(hs.r); hs.err != nil {
return false
}
chunkDescs := make([]*chunk.Desc, numChunkDescs)
if hs.version == headsFormatLegacyVersion {
if headChunkPersisted {
persistWatermark = numChunkDescs
} else {
persistWatermark = numChunkDescs - 1
}
}
headChunkClosed := true // Initial assumption.
for i := int64(0); i < numChunkDescs; i++ {
if i < persistWatermark {
if firstTime, hs.err = binary.ReadVarint(hs.r); hs.err != nil {
return false
}
if lastTime, hs.err = binary.ReadVarint(hs.r); hs.err != nil {
return false
}
chunkDescs[i] = &chunk.Desc{
ChunkFirstTime: model.Time(firstTime),
ChunkLastTime: model.Time(lastTime),
}
chunk.NumMemDescs.Inc()
} else {
// Non-persisted chunk.
// If there are non-persisted chunks at all, we consider
// the head chunk not to be closed yet.
headChunkClosed = false
if encoding, hs.err = hs.r.ReadByte(); hs.err != nil {
return false
}
if ch, hs.err = chunk.NewForEncoding(chunk.Encoding(encoding)); hs.err != nil {
return false
}
if hs.err = ch.Unmarshal(hs.r); hs.err != nil {
return false
}
cd := chunk.NewDesc(ch, ch.FirstTime())
if i < numChunkDescs-1 {
// This is NOT the head chunk. So it's a chunk
// to be persisted, and we need to populate lastTime.
hs.chunksToPersistTotal++
cd.MaybePopulateLastTime()
}
chunkDescs[i] = cd
}
}
if lastTimeHead, hs.err = chunkDescs[len(chunkDescs)-1].LastTime(); hs.err != nil {
return false
}
hs.series = &memorySeries{
metric: model.Metric(metric),
chunkDescs: chunkDescs,
persistWatermark: int(persistWatermark),
modTime: modTime,
chunkDescsOffset: int(chunkDescsOffset),
savedFirstTime: model.Time(savedFirstTime),
lastTime: lastTimeHead,
headChunkClosed: headChunkClosed,
}
hs.seriesCurrent++
return true
}
func extractHistogram(o *DecodeOptions, f *dto.MetricFamily) model.Vector {
samples := make(model.Vector, 0, len(f.Metric))
for _, m := range f.Metric {
if m.Histogram == nil {
continue
}
timestamp := o.Timestamp
if m.TimestampMs != nil {
timestamp = model.TimeFromUnixNano(*m.TimestampMs * 1000000)
}
infSeen := false
for _, q := range m.Histogram.Bucket {
lset := make(model.LabelSet, len(m.Label)+2)
for _, p := range m.Label {
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
}
lset[model.LabelName(model.BucketLabel)] = model.LabelValue(fmt.Sprint(q.GetUpperBound()))
lset[model.MetricNameLabel] = model.LabelValue(f.GetName() + "_bucket")
if math.IsInf(q.GetUpperBound(), +1) {
infSeen = true
}
samples = append(samples, &model.Sample{
Metric: model.Metric(lset),
Value: model.SampleValue(q.GetCumulativeCount()),
Timestamp: timestamp,
})
}
if m.Histogram.SampleSum != nil {
lset := make(model.LabelSet, len(m.Label)+1)
for _, p := range m.Label {
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
}
lset[model.MetricNameLabel] = model.LabelValue(f.GetName() + "_sum")
samples = append(samples, &model.Sample{
Metric: model.Metric(lset),
Value: model.SampleValue(m.Histogram.GetSampleSum()),
Timestamp: timestamp,
})
}
if m.Histogram.SampleCount != nil {
lset := make(model.LabelSet, len(m.Label)+1)
for _, p := range m.Label {
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
}
lset[model.MetricNameLabel] = model.LabelValue(f.GetName() + "_count")
count := &model.Sample{
Metric: model.Metric(lset),
Value: model.SampleValue(m.Histogram.GetSampleCount()),
Timestamp: timestamp,
}
samples = append(samples, count)
if !infSeen {
// Append a infinity bucket sample.
lset := make(model.LabelSet, len(m.Label)+2)
for _, p := range m.Label {
lset[model.LabelName(p.GetName())] = model.LabelValue(p.GetValue())
}
lset[model.LabelName(model.BucketLabel)] = model.LabelValue("+Inf")
lset[model.MetricNameLabel] = model.LabelValue(f.GetName() + "_bucket")
samples = append(samples, &model.Sample{
Metric: model.Metric(lset),
Value: count.Value,
Timestamp: timestamp,
})
}
}
}
return samples
}
func (p *persistence) cleanUpArchiveIndexes(
fpToSeries map[model.Fingerprint]*memorySeries,
fpsSeen map[model.Fingerprint]struct{},
fpm fpMappings,
) error {
log.Info("Cleaning up archive indexes.")
var fp codable.Fingerprint
var m codable.Metric
count := 0
if err := p.archivedFingerprintToMetrics.ForEach(func(kv index.KeyValueAccessor) error {
count++
if count%10000 == 0 {
log.Infof("%d archived metrics checked.", count)
}
if err := kv.Key(&fp); err != nil {
return err
}
_, fpSeen := fpsSeen[model.Fingerprint(fp)]
inMemory := false
if fpSeen {
_, inMemory = fpToSeries[model.Fingerprint(fp)]
}
if !fpSeen || inMemory {
if inMemory {
log.Warnf("Archive clean-up: Fingerprint %v is not archived. Purging from archive indexes.", model.Fingerprint(fp))
}
if !fpSeen {
log.Warnf("Archive clean-up: Fingerprint %v is unknown. Purging from archive indexes.", model.Fingerprint(fp))
}
// It's fine if the fp is not in the archive indexes.
if _, err := p.archivedFingerprintToMetrics.Delete(fp); err != nil {
return err
}
// Delete from timerange index, too.
_, err := p.archivedFingerprintToTimeRange.Delete(fp)
return err
}
// fp is legitimately archived. Now we need the metric to check for a mapped fingerprint.
if err := kv.Value(&m); err != nil {
return err
}
maybeAddMapping(model.Fingerprint(fp), model.Metric(m), fpm)
// Make sure it is in timerange index, too.
has, err := p.archivedFingerprintToTimeRange.Has(fp)
if err != nil {
return err
}
if has {
return nil // All good.
}
log.Warnf("Archive clean-up: Fingerprint %v is not in time-range index. Unarchiving it for recovery.")
// Again, it's fine if fp is not in the archive index.
if _, err := p.archivedFingerprintToMetrics.Delete(fp); err != nil {
return err
}
cds, err := p.loadChunkDescs(model.Fingerprint(fp), 0)
if err != nil {
return err
}
series, err := newMemorySeries(model.Metric(m), cds, p.seriesFileModTime(model.Fingerprint(fp)))
if err != nil {
return err
}
fpToSeries[model.Fingerprint(fp)] = series
return nil
}); err != nil {
return err
}
count = 0
if err := p.archivedFingerprintToTimeRange.ForEach(func(kv index.KeyValueAccessor) error {
count++
if count%10000 == 0 {
log.Infof("%d archived time ranges checked.", count)
}
if err := kv.Key(&fp); err != nil {
return err
}
has, err := p.archivedFingerprintToMetrics.Has(fp)
if err != nil {
return err
}
if has {
return nil // All good.
}
log.Warnf("Archive clean-up: Purging unknown fingerprint %v in time-range index.", fp)
deleted, err := p.archivedFingerprintToTimeRange.Delete(fp)
if err != nil {
return err
}
if !deleted {
log.Errorf("Fingerprint %v to be deleted from archivedFingerprintToTimeRange not found. This should never happen.", fp)
}
return nil
}); err != nil {
return err
}
log.Info("Clean-up of archive indexes complete.")
return nil
}
// loadSeriesMapAndHeads loads the fingerprint to memory-series mapping and all
// the chunks contained in the checkpoint (and thus not yet persisted to series
// files). The method is capable of loading the checkpoint format v1 and v2. If
// recoverable corruption is detected, or if the dirty flag was set from the
// beginning, crash recovery is run, which might take a while. If an
// unrecoverable error is encountered, it is returned. Call this method during
// start-up while nothing else is running in storage land. This method is
// utterly goroutine-unsafe.
func (p *persistence) loadSeriesMapAndHeads() (sm *seriesMap, chunksToPersist int64, err error) {
var chunkDescsTotal int64
fingerprintToSeries := make(map[model.Fingerprint]*memorySeries)
sm = &seriesMap{m: fingerprintToSeries}
defer func() {
if sm != nil && p.dirty {
log.Warn("Persistence layer appears dirty.")
err = p.recoverFromCrash(fingerprintToSeries)
if err != nil {
sm = nil
}
}
if err == nil {
numMemChunkDescs.Add(float64(chunkDescsTotal))
}
}()
f, err := os.Open(p.headsFileName())
if os.IsNotExist(err) {
return sm, 0, nil
}
if err != nil {
log.Warn("Could not open heads file:", err)
p.dirty = true
return
}
defer f.Close()
r := bufio.NewReaderSize(f, fileBufSize)
buf := make([]byte, len(headsMagicString))
if _, err := io.ReadFull(r, buf); err != nil {
log.Warn("Could not read from heads file:", err)
p.dirty = true
return sm, 0, nil
}
magic := string(buf)
if magic != headsMagicString {
log.Warnf(
"unexpected magic string, want %q, got %q",
headsMagicString, magic,
)
p.dirty = true
return
}
version, err := binary.ReadVarint(r)
if (version != headsFormatVersion && version != headsFormatLegacyVersion) || err != nil {
log.Warnf("unknown heads format version, want %d", headsFormatVersion)
p.dirty = true
return sm, 0, nil
}
numSeries, err := codable.DecodeUint64(r)
if err != nil {
log.Warn("Could not decode number of series:", err)
p.dirty = true
return sm, 0, nil
}
for ; numSeries > 0; numSeries-- {
seriesFlags, err := r.ReadByte()
if err != nil {
log.Warn("Could not read series flags:", err)
p.dirty = true
return sm, chunksToPersist, nil
}
headChunkPersisted := seriesFlags&flagHeadChunkPersisted != 0
fp, err := codable.DecodeUint64(r)
if err != nil {
log.Warn("Could not decode fingerprint:", err)
p.dirty = true
return sm, chunksToPersist, nil
}
var metric codable.Metric
if err := metric.UnmarshalFromReader(r); err != nil {
log.Warn("Could not decode metric:", err)
p.dirty = true
return sm, chunksToPersist, nil
}
var persistWatermark int64
var modTime time.Time
if version != headsFormatLegacyVersion {
// persistWatermark only present in v2.
persistWatermark, err = binary.ReadVarint(r)
if err != nil {
log.Warn("Could not decode persist watermark:", err)
p.dirty = true
return sm, chunksToPersist, nil
}
modTimeNano, err := binary.ReadVarint(r)
if err != nil {
log.Warn("Could not decode modification time:", err)
p.dirty = true
return sm, chunksToPersist, nil
}
if modTimeNano != -1 {
modTime = time.Unix(0, modTimeNano)
}
}
chunkDescsOffset, err := binary.ReadVarint(r)
if err != nil {
log.Warn("Could not decode chunk descriptor offset:", err)
p.dirty = true
return sm, chunksToPersist, nil
}
savedFirstTime, err := binary.ReadVarint(r)
if err != nil {
log.Warn("Could not decode saved first time:", err)
p.dirty = true
return sm, chunksToPersist, nil
}
numChunkDescs, err := binary.ReadVarint(r)
if err != nil {
log.Warn("Could not decode number of chunk descriptors:", err)
p.dirty = true
return sm, chunksToPersist, nil
}
chunkDescs := make([]*chunkDesc, numChunkDescs)
if version == headsFormatLegacyVersion {
if headChunkPersisted {
persistWatermark = numChunkDescs
} else {
persistWatermark = numChunkDescs - 1
}
}
for i := int64(0); i < numChunkDescs; i++ {
if i < persistWatermark {
firstTime, err := binary.ReadVarint(r)
if err != nil {
log.Warn("Could not decode first time:", err)
p.dirty = true
return sm, chunksToPersist, nil
}
lastTime, err := binary.ReadVarint(r)
if err != nil {
log.Warn("Could not decode last time:", err)
p.dirty = true
return sm, chunksToPersist, nil
}
chunkDescs[i] = &chunkDesc{
chunkFirstTime: model.Time(firstTime),
chunkLastTime: model.Time(lastTime),
}
chunkDescsTotal++
} else {
// Non-persisted chunk.
encoding, err := r.ReadByte()
if err != nil {
log.Warn("Could not decode chunk type:", err)
p.dirty = true
return sm, chunksToPersist, nil
}
chunk := newChunkForEncoding(chunkEncoding(encoding))
if err := chunk.unmarshal(r); err != nil {
log.Warn("Could not decode chunk:", err)
p.dirty = true
return sm, chunksToPersist, nil
}
chunkDescs[i] = newChunkDesc(chunk)
chunksToPersist++
}
}
fingerprintToSeries[model.Fingerprint(fp)] = &memorySeries{
metric: model.Metric(metric),
chunkDescs: chunkDescs,
persistWatermark: int(persistWatermark),
modTime: modTime,
chunkDescsOffset: int(chunkDescsOffset),
savedFirstTime: model.Time(savedFirstTime),
lastTime: chunkDescs[len(chunkDescs)-1].lastTime(),
headChunkClosed: persistWatermark >= numChunkDescs,
}
}
return sm, chunksToPersist, nil
}
func (t *Target) scrape(sampleAppender storage.SampleAppender) (err error) {
start := time.Now()
baseLabels := t.BaseLabels()
t.RLock()
var (
honorLabels = t.honorLabels
httpClient = t.httpClient
metricRelabelConfigs = t.metricRelabelConfigs
)
t.RUnlock()
defer func() {
t.status.setLastError(err)
recordScrapeHealth(sampleAppender, start, baseLabels, t.status.Health(), time.Since(start))
}()
req, err := http.NewRequest("GET", t.URL().String(), nil)
if err != nil {
panic(err)
}
req.Header.Add("Accept", acceptHeader)
resp, err := httpClient.Do(req)
if err != nil {
return err
}
if resp.StatusCode != http.StatusOK {
return fmt.Errorf("server returned HTTP status %s", resp.Status)
}
dec, err := expfmt.NewDecoder(resp.Body, resp.Header)
if err != nil {
return err
}
defer resp.Body.Close()
sdec := expfmt.SampleDecoder{
Dec: dec,
Opts: &expfmt.DecodeOptions{
Timestamp: model.TimeFromUnixNano(start.UnixNano()),
},
}
t.ingestedSamples = make(chan model.Vector, ingestedSamplesCap)
go func() {
for {
// TODO(fabxc): Changex the SampleAppender interface to return an error
// so we can proceed based on the status and don't leak goroutines trying
// to append a single sample after dropping all the other ones.
//
// This will also allow use to reuse this vector and save allocations.
var samples model.Vector
if err = sdec.Decode(&samples); err != nil {
break
}
if err = t.ingest(samples); err != nil {
break
}
}
close(t.ingestedSamples)
}()
for samples := range t.ingestedSamples {
for _, s := range samples {
if honorLabels {
// Merge the metric with the baseLabels for labels not already set in the
// metric. This also considers labels explicitly set to the empty string.
for ln, lv := range baseLabels {
if _, ok := s.Metric[ln]; !ok {
s.Metric[ln] = lv
}
}
} else {
// Merge the ingested metric with the base label set. On a collision the
// value of the label is stored in a label prefixed with the exported prefix.
for ln, lv := range baseLabels {
if v, ok := s.Metric[ln]; ok && v != "" {
s.Metric[model.ExportedLabelPrefix+ln] = v
}
s.Metric[ln] = lv
}
}
// Avoid the copy in Relabel if there are no configs.
if len(metricRelabelConfigs) > 0 {
labels, err := Relabel(model.LabelSet(s.Metric), metricRelabelConfigs...)
if err != nil {
log.Errorf("Error while relabeling metric %s of instance %s: %s", s.Metric, req.URL, err)
continue
}
// Check if the timeseries was dropped.
if labels == nil {
continue
}
s.Metric = model.Metric(labels)
}
sampleAppender.Append(s)
}
}
if err == io.EOF {
return nil
}
return err
}