package promscrape import ( "flag" "fmt" "strings" "time" "github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil" "github.com/VictoriaMetrics/VictoriaMetrics/lib/logger" "github.com/VictoriaMetrics/VictoriaMetrics/lib/promauth" "github.com/VictoriaMetrics/VictoriaMetrics/lib/prompbmarshal" "github.com/VictoriaMetrics/VictoriaMetrics/lib/promrelabel" parser "github.com/VictoriaMetrics/VictoriaMetrics/lib/protoparser/prometheus" "github.com/VictoriaMetrics/metrics" xxhash "github.com/cespare/xxhash/v2" ) var ( suppressScrapeErrors = flag.Bool("promscrape.suppressScrapeErrors", false, "Whether to suppress scrape errors logging. "+ "The last error for each target is always available at '/targets' page even if scrape errors logging is suppressed") ) // ScrapeWork represents a unit of work for scraping Prometheus metrics. type ScrapeWork struct { // Unique ID for the ScrapeWork. ID uint64 // Full URL (including query args) for the scrape. ScrapeURL string // Interval for scraping the ScrapeURL. ScrapeInterval time.Duration // Timeout for scraping the ScrapeURL. ScrapeTimeout time.Duration // How to deal with conflicting labels. // See https://prometheus.io/docs/prometheus/latest/configuration/configuration/#scrape_config HonorLabels bool // How to deal with scraped timestamps. // See https://prometheus.io/docs/prometheus/latest/configuration/configuration/#scrape_config HonorTimestamps bool // Labels to add to the scraped metrics. // // The list contains at least the following labels according to https://prometheus.io/docs/prometheus/latest/configuration/configuration/#relabel_config // // * job // * __address__ // * __scheme__ // * __metrics_path__ // * __param_ // * __meta_* // * user-defined labels set via `relabel_configs` section in `scrape_config` // // See also https://prometheus.io/docs/concepts/jobs_instances/ Labels []prompbmarshal.Label // Auth config AuthConfig *promauth.Config // Optional `metric_relabel_configs`. MetricRelabelConfigs []promrelabel.ParsedRelabelConfig // The maximum number of metrics to scrape after relabeling. SampleLimit int // The original 'job_name' jobNameOriginal string } // key returns unique identifier for the given sw. // // it can be used for comparing for equality two ScrapeWork objects. func (sw *ScrapeWork) key() string { key := fmt.Sprintf("ScrapeURL=%s, ScrapeInterval=%s, ScrapeTimeout=%s, HonorLabels=%v, HonorTimestamps=%v, Labels=%s, "+ "AuthConfig=%s, MetricRelabelConfigs=%s, SampleLimit=%d", sw.ScrapeURL, sw.ScrapeInterval, sw.ScrapeTimeout, sw.HonorLabels, sw.HonorTimestamps, sw.LabelsString(), sw.AuthConfig.String(), sw.metricRelabelConfigsString(), sw.SampleLimit) return key } func (sw *ScrapeWork) metricRelabelConfigsString() string { var sb strings.Builder for _, prc := range sw.MetricRelabelConfigs { fmt.Fprintf(&sb, "%s", prc.String()) } return sb.String() } // Job returns job for the ScrapeWork func (sw *ScrapeWork) Job() string { return promrelabel.GetLabelValueByName(sw.Labels, "job") } // LabelsString returns labels in Prometheus format for the given sw. func (sw *ScrapeWork) LabelsString() string { labels := make([]string, 0, len(sw.Labels)) for _, label := range promrelabel.FinalizeLabels(nil, sw.Labels) { labels = append(labels, fmt.Sprintf("%s=%q", label.Name, label.Value)) } return "{" + strings.Join(labels, ", ") + "}" } type scrapeWork struct { // Config for the scrape. Config ScrapeWork // ReadData is called for reading the data. ReadData func(dst []byte) ([]byte, error) // PushData is called for pushing collected data. PushData func(wr *prompbmarshal.WriteRequest) bodyBuf []byte rows parser.Rows tmpRow parser.Row writeRequest prompbmarshal.WriteRequest labels []prompbmarshal.Label samples []prompbmarshal.Sample } func (sw *scrapeWork) run(stopCh <-chan struct{}) { // Calculate start time for the first scrape from ScrapeURL and labels. // This should spread load when scraping many targets with different // scrape urls and labels. // This also makes consistent scrape times across restarts // for a target with the same ScrapeURL and labels. scrapeInterval := sw.Config.ScrapeInterval key := fmt.Sprintf("ScrapeURL=%s, Labels=%s", sw.Config.ScrapeURL, sw.Config.LabelsString()) h := uint32(xxhash.Sum64([]byte(key))) randSleep := uint64(float64(scrapeInterval) * (float64(h) / (1 << 32))) sleepOffset := uint64(time.Now().UnixNano()) % uint64(scrapeInterval) if randSleep < sleepOffset { randSleep += uint64(scrapeInterval) } randSleep -= sleepOffset timer := time.NewTimer(time.Duration(randSleep)) var timestamp int64 var ticker *time.Ticker select { case <-stopCh: timer.Stop() return case <-timer.C: ticker = time.NewTicker(scrapeInterval) timestamp = time.Now().UnixNano() / 1e6 sw.scrapeAndLogError(timestamp) } defer ticker.Stop() for { timestamp += scrapeInterval.Milliseconds() select { case <-stopCh: return case <-ticker.C: t := time.Now().UnixNano() / 1e6 if d := t - timestamp; d > 0 && float64(d)/float64(scrapeInterval.Milliseconds()) > 0.1 { // Too big jitter. Adjust timestamp timestamp = t } sw.scrapeAndLogError(timestamp) } } } func (sw *scrapeWork) logError(s string) { if !*suppressScrapeErrors { logger.ErrorfSkipframes(1, "error when scraping %q from job %q with labels %s: %s", sw.Config.ScrapeURL, sw.Config.Job(), sw.Config.LabelsString(), s) } } func (sw *scrapeWork) scrapeAndLogError(timestamp int64) { if err := sw.scrapeInternal(timestamp); err != nil && !*suppressScrapeErrors { logger.Errorf("error when scraping %q from job %q with labels %s: %s", sw.Config.ScrapeURL, sw.Config.Job(), sw.Config.LabelsString(), err) } } var ( scrapeDuration = metrics.NewHistogram("vm_promscrape_scrape_duration_seconds") scrapeResponseSize = metrics.NewHistogram("vm_promscrape_scrape_response_size_bytes") scrapedSamples = metrics.NewHistogram("vm_promscrape_scraped_samples") scrapesSkippedBySampleLimit = metrics.NewCounter("vm_promscrape_scrapes_skipped_by_sample_limit_total") scrapesFailed = metrics.NewCounter("vm_promscrape_scrapes_failed_total") pushDataDuration = metrics.NewHistogram("vm_promscrape_push_data_duration_seconds") ) func (sw *scrapeWork) scrapeInternal(timestamp int64) error { var err error sw.bodyBuf, err = sw.ReadData(sw.bodyBuf[:0]) endTimestamp := time.Now().UnixNano() / 1e6 duration := float64(endTimestamp-timestamp) / 1e3 scrapeDuration.Update(duration) scrapeResponseSize.Update(float64(len(sw.bodyBuf))) up := 1 if err != nil { up = 0 scrapesFailed.Inc() } else { bodyString := bytesutil.ToUnsafeString(sw.bodyBuf) sw.rows.UnmarshalWithErrLogger(bodyString, sw.logError) } srcRows := sw.rows.Rows samplesScraped := len(srcRows) scrapedSamples.Update(float64(samplesScraped)) for i := range srcRows { sw.addRowToTimeseries(&srcRows[i], timestamp) } sw.rows.Reset() if sw.Config.SampleLimit > 0 && len(sw.writeRequest.Timeseries) > sw.Config.SampleLimit { prompbmarshal.ResetWriteRequest(&sw.writeRequest) up = 0 scrapesSkippedBySampleLimit.Inc() } samplesPostRelabeling := len(sw.writeRequest.Timeseries) sw.addAutoTimeseries("up", float64(up), timestamp) sw.addAutoTimeseries("scrape_duration_seconds", duration, timestamp) sw.addAutoTimeseries("scrape_samples_scraped", float64(samplesScraped), timestamp) sw.addAutoTimeseries("scrape_samples_post_metric_relabeling", float64(samplesPostRelabeling), timestamp) startTime := time.Now() sw.PushData(&sw.writeRequest) pushDataDuration.UpdateDuration(startTime) prompbmarshal.ResetWriteRequest(&sw.writeRequest) sw.labels = sw.labels[:0] sw.samples = sw.samples[:0] tsmGlobal.Update(&sw.Config, up == 1, timestamp, int64(duration*1000), err) return err } // addAutoTimeseries adds automatically generated time series with the given name, value and timestamp. // // See https://prometheus.io/docs/concepts/jobs_instances/#automatically-generated-labels-and-time-series func (sw *scrapeWork) addAutoTimeseries(name string, value float64, timestamp int64) { sw.tmpRow.Metric = name sw.tmpRow.Tags = nil sw.tmpRow.Value = value sw.tmpRow.Timestamp = timestamp sw.addRowToTimeseries(&sw.tmpRow, timestamp) } func (sw *scrapeWork) addRowToTimeseries(r *parser.Row, timestamp int64) { labelsLen := len(sw.labels) sw.labels = appendLabels(sw.labels, r.Metric, r.Tags, sw.Config.Labels, sw.Config.HonorLabels) sw.labels = promrelabel.ApplyRelabelConfigs(sw.labels, labelsLen, sw.Config.MetricRelabelConfigs, true) if len(sw.labels) == labelsLen { // Skip row without labels. return } labels := sw.labels[labelsLen:] sw.samples = append(sw.samples, prompbmarshal.Sample{}) sample := &sw.samples[len(sw.samples)-1] sample.Value = r.Value sample.Timestamp = r.Timestamp if !sw.Config.HonorTimestamps || sample.Timestamp == 0 { sample.Timestamp = timestamp } wr := &sw.writeRequest wr.Timeseries = append(wr.Timeseries, prompbmarshal.TimeSeries{}) ts := &wr.Timeseries[len(wr.Timeseries)-1] ts.Labels = labels ts.Samples = sw.samples[len(sw.samples)-1:] } func appendLabels(dst []prompbmarshal.Label, metric string, src []parser.Tag, extraLabels []prompbmarshal.Label, honorLabels bool) []prompbmarshal.Label { dstLen := len(dst) dst = append(dst, prompbmarshal.Label{ Name: "__name__", Value: metric, }) for i := range src { tag := &src[i] dst = append(dst, prompbmarshal.Label{ Name: tag.Key, Value: tag.Value, }) } dst = append(dst, extraLabels...) labels := dst[dstLen:] if len(labels) <= 1 { // Fast path - only a single label. return dst } // de-duplicate labels dstLabels := labels[:0] for i := range labels { label := &labels[i] prevLabel := promrelabel.GetLabelByName(dstLabels, label.Name) if prevLabel == nil { dstLabels = append(dstLabels, *label) continue } if honorLabels { // Skip the extra label with the same name. continue } // Rename the prevLabel to "exported_" + label.Name. // See https://prometheus.io/docs/prometheus/latest/configuration/configuration/#scrape_config exportedName := "exported_" + label.Name if promrelabel.GetLabelByName(dstLabels, exportedName) != nil { // Override duplicate with the current label. *prevLabel = *label continue } prevLabel.Name = exportedName dstLabels = append(dstLabels, *label) } return dst[:dstLen+len(dstLabels)] }