func parseTime(s string) (model.Time, error) {
if t, err := strconv.ParseFloat(s, 64); err == nil {
ts := int64(t * float64(time.Second))
return model.TimeFromUnixNano(ts), nil
}
if t, err := time.Parse(time.RFC3339Nano, s); err == nil {
return model.TimeFromUnixNano(t.UnixNano()), nil
}
return 0, fmt.Errorf("cannot parse %q to a valid timestamp", s)
}
func TestTargetScraperScrapeOK(t *testing.T) {
server := httptest.NewServer(
http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
w.Header().Set("Content-Type", `text/plain; version=0.0.4`)
w.Write([]byte("metric_a 1\nmetric_b 2\n"))
}),
)
defer server.Close()
serverURL, err := url.Parse(server.URL)
if err != nil {
panic(err)
}
ts := &targetScraper{
Target: &Target{
labels: model.LabelSet{
model.SchemeLabel: model.LabelValue(serverURL.Scheme),
model.AddressLabel: model.LabelValue(serverURL.Host),
},
},
client: http.DefaultClient,
}
now := time.Now()
samples, err := ts.scrape(context.Background(), now)
if err != nil {
t.Fatalf("Unexpected scrape error: %s", err)
}
expectedSamples := model.Samples{
{
Metric: model.Metric{"__name__": "metric_a"},
Timestamp: model.TimeFromUnixNano(now.UnixNano()),
Value: 1,
},
{
Metric: model.Metric{"__name__": "metric_b"},
Timestamp: model.TimeFromUnixNano(now.UnixNano()),
Value: 2,
},
}
sort.Sort(expectedSamples)
sort.Sort(samples)
if !reflect.DeepEqual(samples, expectedSamples) {
t.Errorf("Scraped samples did not match served metrics")
t.Errorf("Expected: %v", expectedSamples)
t.Fatalf("Got: %v", samples)
}
}
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 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
}
func recordScrapeHealth(
sampleAppender storage.SampleAppender,
timestamp time.Time,
baseLabels model.LabelSet,
health TargetHealth,
scrapeDuration time.Duration,
) {
healthMetric := make(model.Metric, len(baseLabels)+1)
durationMetric := make(model.Metric, len(baseLabels)+1)
healthMetric[model.MetricNameLabel] = scrapeHealthMetricName
durationMetric[model.MetricNameLabel] = scrapeDurationMetricName
for ln, lv := range baseLabels {
healthMetric[ln] = lv
durationMetric[ln] = lv
}
ts := model.TimeFromUnixNano(timestamp.UnixNano())
healthSample := &model.Sample{
Metric: healthMetric,
Timestamp: ts,
Value: health.value(),
}
durationSample := &model.Sample{
Metric: durationMetric,
Timestamp: ts,
Value: model.SampleValue(float64(scrapeDuration) / float64(time.Second)),
}
sampleAppender.Append(healthSample)
sampleAppender.Append(durationSample)
}
func (sl *scrapeLoop) report(start time.Time, duration time.Duration, err error) {
sl.scraper.report(start, duration, err)
ts := model.TimeFromUnixNano(start.UnixNano())
var health model.SampleValue
if err == nil {
health = 1
}
healthSample := &model.Sample{
Metric: model.Metric{
model.MetricNameLabel: scrapeHealthMetricName,
},
Timestamp: ts,
Value: health,
}
durationSample := &model.Sample{
Metric: model.Metric{
model.MetricNameLabel: scrapeDurationMetricName,
},
Timestamp: ts,
Value: model.SampleValue(float64(duration) / float64(time.Second)),
}
sl.reportAppender.Append(healthSample)
sl.reportAppender.Append(durationSample)
}
func (t *Target) report(app storage.SampleAppender, start time.Time, duration time.Duration, err error) {
t.status.setLastScrape(start)
t.status.setLastError(err)
ts := model.TimeFromUnixNano(start.UnixNano())
var health model.SampleValue
if err == nil {
health = 1
}
healthSample := &model.Sample{
Metric: model.Metric{
model.MetricNameLabel: scrapeHealthMetricName,
},
Timestamp: ts,
Value: health,
}
durationSample := &model.Sample{
Metric: model.Metric{
model.MetricNameLabel: scrapeDurationMetricName,
},
Timestamp: ts,
Value: model.SampleValue(float64(duration) / float64(time.Second)),
}
app = t.wrapReportingAppender(app)
app.Append(healthSample)
app.Append(durationSample)
}
func (sl *scrapeLoop) report(start time.Time, duration time.Duration, err error) {
sl.scraper.report(start, duration, err)
ts := model.TimeFromUnixNano(start.UnixNano())
var health model.SampleValue
if err == nil {
health = 1
}
healthSample := &model.Sample{
Metric: model.Metric{
model.MetricNameLabel: scrapeHealthMetricName,
},
Timestamp: ts,
Value: health,
}
durationSample := &model.Sample{
Metric: model.Metric{
model.MetricNameLabel: scrapeDurationMetricName,
},
Timestamp: ts,
Value: model.SampleValue(float64(duration) / float64(time.Second)),
}
if err := sl.reportAppender.Append(healthSample); err != nil {
log.With("sample", healthSample).With("error", err).Warn("Scrape health sample discarded")
}
if err := sl.reportAppender.Append(durationSample); err != nil {
log.With("sample", durationSample).With("error", err).Warn("Scrape duration sample discarded")
}
}
func parseTimestampOrNow(t string, now model.Time) (model.Time, error) {
if t == "" {
return now, nil
}
tFloat, err := strconv.ParseFloat(t, 64)
if err != nil {
return 0, err
}
return model.TimeFromUnixNano(int64(tFloat * float64(time.Second/time.Nanosecond))), nil
}
func TestParseTime(t *testing.T) {
ts, err := time.Parse(time.RFC3339Nano, "2015-06-03T13:21:58.555Z")
if err != nil {
panic(err)
}
var tests = []struct {
input string
fail bool
result time.Time
}{
{
input: "",
fail: true,
}, {
input: "abc",
fail: true,
}, {
input: "30s",
fail: true,
}, {
input: "123",
result: time.Unix(123, 0),
}, {
input: "123.123",
result: time.Unix(123, 123000000),
}, {
input: "123.123",
result: time.Unix(123, 123000000),
}, {
input: "2015-06-03T13:21:58.555Z",
result: ts,
}, {
input: "2015-06-03T14:21:58.555+01:00",
result: ts,
},
}
for _, test := range tests {
ts, err := parseTime(test.input)
if err != nil && !test.fail {
t.Errorf("Unexpected error for %q: %s", test.input, err)
continue
}
if err == nil && test.fail {
t.Errorf("Expected error for %q but got none", test.input)
continue
}
res := model.TimeFromUnixNano(test.result.UnixNano())
if !test.fail && ts != res {
t.Errorf("Expected time %v for input %q but got %v", res, test.input, ts)
}
}
}
func (s *targetScraper) scrape(ctx context.Context, ts time.Time) (model.Samples, error) {
req, err := http.NewRequest("GET", s.URL().String(), nil)
if err != nil {
return nil, err
}
req.Header.Add("Accept", acceptHeader)
resp, err := ctxhttp.Do(ctx, s.client, req)
if err != nil {
return nil, err
}
defer resp.Body.Close()
if resp.StatusCode != http.StatusOK {
return nil, fmt.Errorf("server returned HTTP status %s", resp.Status)
}
var (
allSamples = make(model.Samples, 0, 200)
decSamples = make(model.Vector, 0, 50)
)
sdec := expfmt.SampleDecoder{
Dec: expfmt.NewDecoder(resp.Body, expfmt.ResponseFormat(resp.Header)),
Opts: &expfmt.DecodeOptions{
Timestamp: model.TimeFromUnixNano(ts.UnixNano()),
},
}
for {
if err = sdec.Decode(&decSamples); err != nil {
break
}
allSamples = append(allSamples, decSamples...)
decSamples = decSamples[:0]
}
if err == io.EOF {
// Set err to nil since it is used in the scrape health recording.
err = nil
}
return allSamples, err
}
func TestParseTimestampOrNow(t *testing.T) {
ts, err := parseTimestampOrNow("", testNow())
if err != nil {
t.Fatalf("err = %s; want nil", err)
}
if !testNow().Equal(ts) {
t.Fatalf("ts = %v; want ts = %v", ts, testNow)
}
ts, err = parseTimestampOrNow("1426956073.12345", testNow())
if err != nil {
t.Fatalf("err = %s; want nil", err)
}
expTS := model.TimeFromUnixNano(1426956073123000000)
if !ts.Equal(expTS) {
t.Fatalf("ts = %v; want %v", ts, expTS)
}
_, err = parseTimestampOrNow("123.45foo", testNow())
if err == nil {
t.Fatalf("err = nil; want %s", err)
}
}
func verifyStorage(t testing.TB, s *memorySeriesStorage, samples model.Samples, maxAge time.Duration) bool {
s.WaitForIndexing()
result := true
for _, i := range rand.Perm(len(samples)) {
sample := samples[i]
if sample.Timestamp.Before(model.TimeFromUnixNano(time.Now().Add(-maxAge).UnixNano())) {
continue
// TODO: Once we have a guaranteed cutoff at the
// retention period, we can verify here that no results
// are returned.
}
fp, err := s.mapper.mapFP(sample.Metric.FastFingerprint(), sample.Metric)
if err != nil {
t.Fatal(err)
}
p := s.NewPreloader()
p.PreloadRange(fp, sample.Timestamp, sample.Timestamp, time.Hour)
found := s.NewIterator(fp).ValueAtTime(sample.Timestamp)
if len(found) != 1 {
t.Errorf("Sample %#v: Expected exactly one value, found %d.", sample, len(found))
result = false
p.Close()
continue
}
want := sample.Value
got := found[0].Value
if want != got || sample.Timestamp != found[0].Timestamp {
t.Errorf(
"Value (or timestamp) mismatch, want %f (at time %v), got %f (at time %v).",
want, sample.Timestamp, got, found[0].Timestamp,
)
result = false
}
p.Close()
}
return result
}
func (t *Target) scrape(appender storage.SampleAppender) (err error) {
start := time.Now()
baseLabels := t.BaseLabels()
defer func(appender storage.SampleAppender) {
t.status.setLastError(err)
recordScrapeHealth(appender, start, baseLabels, t.status.Health(), time.Since(start))
}(appender)
t.RLock()
// The relabelAppender has to be inside the label-modifying appenders
// so the relabeling rules are applied to the correct label set.
if len(t.metricRelabelConfigs) > 0 {
appender = relabelAppender{
app: appender,
relabelings: t.metricRelabelConfigs,
}
}
if t.honorLabels {
appender = honorLabelsAppender{
app: appender,
labels: baseLabels,
}
} else {
appender = ruleLabelsAppender{
app: appender,
labels: baseLabels,
}
}
httpClient := t.httpClient
t.RUnlock()
req, err := http.NewRequest("GET", t.URL().String(), nil)
if err != nil {
return err
}
req.Header.Add("Accept", acceptHeader)
resp, err := httpClient.Do(req)
if err != nil {
return err
}
defer resp.Body.Close()
if resp.StatusCode != http.StatusOK {
return fmt.Errorf("server returned HTTP status %s", resp.Status)
}
dec := expfmt.NewDecoder(resp.Body, expfmt.ResponseFormat(resp.Header))
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): Change 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 {
appender.Append(s)
}
}
if err == io.EOF {
return nil
}
return err
}
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
}
// NewTemplateExpander returns a template expander ready to use.
func NewTemplateExpander(text string, name string, data interface{}, timestamp model.Time, queryEngine *promql.Engine, pathPrefix string) *Expander {
return &Expander{
text: text,
name: name,
data: data,
funcMap: text_template.FuncMap{
"query": func(q string) (queryResult, error) {
return query(q, timestamp, queryEngine)
},
"first": func(v queryResult) (*sample, error) {
if len(v) > 0 {
return v[0], nil
}
return nil, errors.New("first() called on vector with no elements")
},
"label": func(label string, s *sample) string {
return s.Labels[label]
},
"value": func(s *sample) float64 {
return s.Value
},
"strvalue": func(s *sample) string {
return s.Labels["__value__"]
},
"args": func(args ...interface{}) map[string]interface{} {
result := make(map[string]interface{})
for i, a := range args {
result[fmt.Sprintf("arg%d", i)] = a
}
return result
},
"reReplaceAll": func(pattern, repl, text string) string {
re := regexp.MustCompile(pattern)
return re.ReplaceAllString(text, repl)
},
"safeHtml": func(text string) html_template.HTML {
return html_template.HTML(text)
},
"match": regexp.MatchString,
"title": strings.Title,
"graphLink": strutil.GraphLinkForExpression,
"tableLink": strutil.TableLinkForExpression,
"sortByLabel": func(label string, v queryResult) queryResult {
sorter := queryResultByLabelSorter{v[:], label}
sort.Stable(sorter)
return v
},
"humanize": func(v float64) string {
if v == 0 || math.IsNaN(v) || math.IsInf(v, 0) {
return fmt.Sprintf("%.4g", v)
}
if math.Abs(v) >= 1 {
prefix := ""
for _, p := range []string{"k", "M", "G", "T", "P", "E", "Z", "Y"} {
if math.Abs(v) < 1000 {
break
}
prefix = p
v /= 1000
}
return fmt.Sprintf("%.4g%s", v, prefix)
}
prefix := ""
for _, p := range []string{"m", "u", "n", "p", "f", "a", "z", "y"} {
if math.Abs(v) >= 1 {
break
}
prefix = p
v *= 1000
}
return fmt.Sprintf("%.4g%s", v, prefix)
},
"humanize1024": func(v float64) string {
if math.Abs(v) <= 1 || math.IsNaN(v) || math.IsInf(v, 0) {
return fmt.Sprintf("%.4g", v)
}
prefix := ""
for _, p := range []string{"ki", "Mi", "Gi", "Ti", "Pi", "Ei", "Zi", "Yi"} {
if math.Abs(v) < 1024 {
break
}
prefix = p
v /= 1024
}
return fmt.Sprintf("%.4g%s", v, prefix)
},
"humanizeDuration": func(v float64) string {
if math.IsNaN(v) || math.IsInf(v, 0) {
return fmt.Sprintf("%.4g", v)
}
if v == 0 {
return fmt.Sprintf("%.4gs", v)
}
if math.Abs(v) >= 1 {
sign := ""
if v < 0 {
sign = "-"
v = -v
}
seconds := int64(v) % 60
minutes := (int64(v) / 60) % 60
hours := (int64(v) / 60 / 60) % 24
days := (int64(v) / 60 / 60 / 24)
// For days to minutes, we display seconds as an integer.
if days != 0 {
return fmt.Sprintf("%s%dd %dh %dm %ds", sign, days, hours, minutes, seconds)
}
if hours != 0 {
return fmt.Sprintf("%s%dh %dm %ds", sign, hours, minutes, seconds)
}
if minutes != 0 {
return fmt.Sprintf("%s%dm %ds", sign, minutes, seconds)
}
// For seconds, we display 4 significant digts.
return fmt.Sprintf("%s%.4gs", sign, v)
}
prefix := ""
for _, p := range []string{"m", "u", "n", "p", "f", "a", "z", "y"} {
if math.Abs(v) >= 1 {
break
}
prefix = p
v *= 1000
}
return fmt.Sprintf("%.4g%ss", v, prefix)
},
"humanizeTimestamp": func(v float64) string {
if math.IsNaN(v) || math.IsInf(v, 0) {
return fmt.Sprintf("%.4g", v)
}
t := model.TimeFromUnixNano(int64(v * 1e9)).Time().UTC()
return fmt.Sprint(t)
},
"pathPrefix": func() string {
return pathPrefix
},
},
}
}
func (t *Target) scrape(appender storage.SampleAppender) (err error) {
start := time.Now()
baseLabels := t.BaseLabels()
defer func(appender storage.SampleAppender) {
t.status.setLastError(err)
recordScrapeHealth(appender, start, baseLabels, t.status.Health(), time.Since(start))
}(appender)
t.RLock()
// The relabelAppender has to be inside the label-modifying appenders
// so the relabeling rules are applied to the correct label set.
if len(t.metricRelabelConfigs) > 0 {
appender = relabelAppender{
SampleAppender: appender,
relabelings: t.metricRelabelConfigs,
}
}
if t.honorLabels {
appender = honorLabelsAppender{
SampleAppender: appender,
labels: baseLabels,
}
} else {
appender = ruleLabelsAppender{
SampleAppender: appender,
labels: baseLabels,
}
}
httpClient := t.httpClient
t.RUnlock()
req, err := http.NewRequest("GET", t.URL().String(), nil)
if err != nil {
return err
}
req.Header.Add("Accept", acceptHeader)
resp, err := httpClient.Do(req)
if err != nil {
return err
}
defer resp.Body.Close()
if resp.StatusCode != http.StatusOK {
return fmt.Errorf("server returned HTTP status %s", resp.Status)
}
dec := expfmt.NewDecoder(resp.Body, expfmt.ResponseFormat(resp.Header))
sdec := expfmt.SampleDecoder{
Dec: dec,
Opts: &expfmt.DecodeOptions{
Timestamp: model.TimeFromUnixNano(start.UnixNano()),
},
}
var (
samples model.Vector
numOutOfOrder int
logger = log.With("target", t.InstanceIdentifier())
)
for {
if err = sdec.Decode(&samples); err != nil {
break
}
for _, s := range samples {
err := appender.Append(s)
if err != nil {
if err == local.ErrOutOfOrderSample {
numOutOfOrder++
} else {
logger.With("sample", s).Warnf("Error inserting sample: %s", err)
}
}
}
}
if numOutOfOrder > 0 {
logger.With("numDropped", numOutOfOrder).Warn("Error on ingesting out-of-order samples")
}
if err == io.EOF {
return nil
}
return err
}
func (t *Target) scrape(appender storage.SampleAppender) error {
var (
err error
start = time.Now()
)
defer func(appender storage.SampleAppender) {
t.report(appender, start, time.Since(start), err)
}(appender)
t.RLock()
appender = t.wrapAppender(appender)
client := t.httpClient
t.RUnlock()
req, err := http.NewRequest("GET", t.URL().String(), nil)
if err != nil {
return err
}
req.Header.Add("Accept", acceptHeader)
ctx, _ := context.WithTimeout(context.Background(), t.timeout())
resp, err := ctxhttp.Do(ctx, client, req)
if err != nil {
return err
}
defer resp.Body.Close()
if resp.StatusCode != http.StatusOK {
return fmt.Errorf("server returned HTTP status %s", resp.Status)
}
dec := expfmt.NewDecoder(resp.Body, expfmt.ResponseFormat(resp.Header))
sdec := expfmt.SampleDecoder{
Dec: dec,
Opts: &expfmt.DecodeOptions{
Timestamp: model.TimeFromUnixNano(start.UnixNano()),
},
}
var (
samples model.Vector
numOutOfOrder int
logger = log.With("target", t.InstanceIdentifier())
)
for {
if err = sdec.Decode(&samples); err != nil {
break
}
for _, s := range samples {
err := appender.Append(s)
if err != nil {
if err == local.ErrOutOfOrderSample {
numOutOfOrder++
} else {
logger.With("sample", s).Warnf("Error inserting sample: %s", err)
}
}
}
}
if numOutOfOrder > 0 {
logger.With("numDropped", numOutOfOrder).Warn("Error on ingesting out-of-order samples")
}
if err == io.EOF {
// Set err to nil since it is used in the scrape health recording.
err = nil
}
return err
}
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
}
// Returns collected metrics and the next collection time of the collector
func (collector *PrometheusCollector) Collect(metrics map[string][]v1.MetricVal) (time.Time, map[string][]v1.MetricVal, error) {
currentTime := time.Now()
nextCollectionTime := currentTime.Add(time.Duration(collector.pollingFrequency))
uri := collector.configFile.Endpoint.URL
response, err := collector.httpClient.Get(uri)
if err != nil {
return nextCollectionTime, nil, err
}
defer response.Body.Close()
if response.StatusCode != http.StatusOK {
return nextCollectionTime, nil, fmt.Errorf("server returned HTTP status %s", response.Status)
}
sdec := expfmt.SampleDecoder{
Dec: expfmt.NewDecoder(response.Body, expfmt.ResponseFormat(response.Header)),
Opts: &expfmt.DecodeOptions{
Timestamp: model.TimeFromUnixNano(currentTime.UnixNano()),
},
}
var (
// 50 is chosen as a reasonable guesstimate at a number of metrics we can
// expect from virtually any endpoint to try to save allocations.
decSamples = make(model.Vector, 0, 50)
newMetrics = make(map[string][]v1.MetricVal)
)
for {
if err = sdec.Decode(&decSamples); err != nil {
break
}
for _, sample := range decSamples {
metName := string(sample.Metric[model.MetricNameLabel])
if len(metName) == 0 {
continue
}
// If metrics to collect is specified, skip any metrics not in the list to collect.
if _, ok := collector.metricsSet[metName]; collector.metricsSet != nil && !ok {
continue
}
// TODO Handle multiple labels nicer. Prometheus metrics can have multiple
// labels, cadvisor only accepts a single string for the metric label.
label := prometheusLabelSetToCadvisorLabel(sample.Metric)
metric := v1.MetricVal{
FloatValue: float64(sample.Value),
Timestamp: sample.Timestamp.Time(),
Label: label,
}
newMetrics[metName] = append(newMetrics[metName], metric)
if len(newMetrics) > collector.metricCountLimit {
return nextCollectionTime, nil, fmt.Errorf("too many metrics to collect")
}
}
decSamples = decSamples[:0]
}
if err != nil && err != io.EOF {
return nextCollectionTime, nil, err
}
for key, val := range newMetrics {
metrics[key] = append(metrics[key], val...)
}
return nextCollectionTime, metrics, nil
}
