// 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
}
// eval evaluates the rule expression and then creates pending alerts and fires
// or removes previously pending alerts accordingly.
func (rule *AlertingRule) eval(timestamp model.Time, engine *promql.Engine) (model.Vector, error) {
query, err := engine.NewInstantQuery(rule.vector.String(), timestamp)
if err != nil {
return nil, err
}
exprResult, err := query.Exec().Vector()
if err != nil {
return nil, err
}
rule.mutex.Lock()
defer rule.mutex.Unlock()
// Create pending alerts for any new vector elements in the alert expression
// or update the expression value for existing elements.
resultFPs := map[model.Fingerprint]struct{}{}
for _, sample := range exprResult {
fp := sample.Metric.Fingerprint()
resultFPs[fp] = struct{}{}
if alert, ok := rule.activeAlerts[fp]; !ok {
labels := model.LabelSet(sample.Metric.Clone())
labels = labels.Merge(rule.labels)
if _, ok := labels[model.MetricNameLabel]; ok {
delete(labels, model.MetricNameLabel)
}
rule.activeAlerts[fp] = &Alert{
Name: rule.name,
Labels: labels,
State: StatePending,
ActiveSince: timestamp,
Value: sample.Value,
}
} else {
alert.Value = sample.Value
}
}
var vector model.Vector
// Check if any pending alerts should be removed or fire now. Write out alert timeseries.
for fp, activeAlert := range rule.activeAlerts {
if _, ok := resultFPs[fp]; !ok {
vector = append(vector, activeAlert.sample(timestamp, 0))
delete(rule.activeAlerts, fp)
continue
}
if activeAlert.State == StatePending && timestamp.Sub(activeAlert.ActiveSince) >= rule.holdDuration {
vector = append(vector, activeAlert.sample(timestamp, 0))
activeAlert.State = StateFiring
}
vector = append(vector, activeAlert.sample(timestamp, 1))
}
return vector, 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)
}
// eval evaluates the rule expression and then creates pending alerts and fires
// or removes previously pending alerts accordingly.
func (r *AlertingRule) eval(ts model.Time, engine *promql.Engine) (model.Vector, error) {
query, err := engine.NewInstantQuery(r.vector.String(), ts)
if err != nil {
return nil, err
}
res, err := query.Exec().Vector()
if err != nil {
return nil, err
}
r.mtx.Lock()
defer r.mtx.Unlock()
// Create pending alerts for any new vector elements in the alert expression
// or update the expression value for existing elements.
resultFPs := map[model.Fingerprint]struct{}{}
for _, smpl := range res {
fp := smpl.Metric.Fingerprint()
resultFPs[fp] = struct{}{}
if alert, ok := r.active[fp]; ok {
alert.Value = smpl.Value
continue
}
delete(smpl.Metric, model.MetricNameLabel)
r.active[fp] = &Alert{
Labels: model.LabelSet(smpl.Metric),
ActiveAt: ts,
State: StatePending,
Value: smpl.Value,
}
}
var vec model.Vector
// Check if any pending alerts should be removed or fire now. Write out alert timeseries.
for fp, a := range r.active {
if _, ok := resultFPs[fp]; !ok {
if a.State != StateInactive {
vec = append(vec, r.sample(a, ts, false))
}
// If the alert was previously firing, keep it around for a given
// retention time so it is reported as resolved to the AlertManager.
if a.State == StatePending || (a.ResolvedAt != 0 && ts.Sub(a.ResolvedAt) > resolvedRetention) {
delete(r.active, fp)
}
if a.State != StateInactive {
a.State = StateInactive
a.ResolvedAt = ts
}
continue
}
if a.State == StatePending && ts.Sub(a.ActiveAt) >= r.holdDuration {
vec = append(vec, r.sample(a, ts, false))
a.State = StateFiring
}
vec = append(vec, r.sample(a, ts, true))
}
return vec, 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
}