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https://github.com/VictoriaMetrics/VictoriaMetrics.git
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09670479cd
Also reduce CPU usage when applying `series_limit` to scrape targets with constant set of metrics. The main idea is to perform the calculations on scrape_series_added and series_limit only if the set of metrics exposed by the target has been changed. Scrape targets rarely change the set of exposed metrics, so this optimization should reduce CPU usage in general case.
679 lines
23 KiB
Go
679 lines
23 KiB
Go
package promscrape
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import (
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"flag"
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"fmt"
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"math"
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"math/bits"
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"strconv"
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"strings"
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"sync"
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"time"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/bloomfilter"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/decimal"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/leveledbytebufferpool"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/promauth"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/prompbmarshal"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/promrelabel"
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parser "github.com/VictoriaMetrics/VictoriaMetrics/lib/protoparser/prometheus"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/proxy"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/timerpool"
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"github.com/VictoriaMetrics/metrics"
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xxhash "github.com/cespare/xxhash/v2"
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)
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var (
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suppressScrapeErrors = flag.Bool("promscrape.suppressScrapeErrors", false, "Whether to suppress scrape errors logging. "+
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"The last error for each target is always available at '/targets' page even if scrape errors logging is suppressed")
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noStaleMarkers = flag.Bool("promscrape.noStaleMarkers", false, "Whether to disable seding Prometheus stale markers for metrics when scrape target disappears. This option may reduce memory usage if stale markers aren't needed for your setup. See also https://docs.victoriametrics.com/vmagent.html#stream-parsing-mode")
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seriesLimitPerTarget = flag.Int("promscrape.seriesLimitPerTarget", 0, "Optional limit on the number of unique time series a single scrape target can expose. See https://docs.victoriametrics.com/vmagent.html#cardinality-limiter for more info")
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)
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// ScrapeWork represents a unit of work for scraping Prometheus metrics.
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//
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// It must be immutable during its lifetime, since it is read from concurrently running goroutines.
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type ScrapeWork struct {
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// Full URL (including query args) for the scrape.
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ScrapeURL string
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// Interval for scraping the ScrapeURL.
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ScrapeInterval time.Duration
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// Timeout for scraping the ScrapeURL.
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ScrapeTimeout time.Duration
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// How to deal with conflicting labels.
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// See https://prometheus.io/docs/prometheus/latest/configuration/configuration/#scrape_config
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HonorLabels bool
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// How to deal with scraped timestamps.
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// See https://prometheus.io/docs/prometheus/latest/configuration/configuration/#scrape_config
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HonorTimestamps bool
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// Whether to deny redirects during requests to scrape config.
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DenyRedirects bool
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// OriginalLabels contains original labels before relabeling.
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//
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// These labels are needed for relabeling troubleshooting at /targets page.
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OriginalLabels []prompbmarshal.Label
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// Labels to add to the scraped metrics.
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//
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// The list contains at least the following labels according to https://prometheus.io/docs/prometheus/latest/configuration/configuration/#relabel_config
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//
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// * job
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// * __address__
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// * __scheme__
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// * __metrics_path__
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// * __param_<name>
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// * __meta_*
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// * user-defined labels set via `relabel_configs` section in `scrape_config`
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//
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// See also https://prometheus.io/docs/concepts/jobs_instances/
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Labels []prompbmarshal.Label
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// ProxyURL HTTP proxy url
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ProxyURL proxy.URL
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// Auth config for ProxyUR:
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ProxyAuthConfig *promauth.Config
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// Auth config
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AuthConfig *promauth.Config
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// Optional `metric_relabel_configs`.
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MetricRelabelConfigs *promrelabel.ParsedConfigs
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// The maximum number of metrics to scrape after relabeling.
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SampleLimit int
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// Whether to disable response compression when querying ScrapeURL.
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DisableCompression bool
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// Whether to disable HTTP keep-alive when querying ScrapeURL.
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DisableKeepAlive bool
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// Whether to parse target responses in a streaming manner.
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StreamParse bool
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// The interval for aligning the first scrape.
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ScrapeAlignInterval time.Duration
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// The offset for the first scrape.
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ScrapeOffset time.Duration
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// Optional limit on the number of unique series the scrape target can expose.
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SeriesLimit int
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// The original 'job_name'
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jobNameOriginal string
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}
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// key returns unique identifier for the given sw.
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//
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// it can be used for comparing for equality for two ScrapeWork objects.
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func (sw *ScrapeWork) key() string {
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// Do not take into account OriginalLabels.
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key := fmt.Sprintf("ScrapeURL=%s, ScrapeInterval=%s, ScrapeTimeout=%s, HonorLabels=%v, HonorTimestamps=%v, DenyRedirects=%v, Labels=%s, "+
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"ProxyURL=%s, ProxyAuthConfig=%s, AuthConfig=%s, MetricRelabelConfigs=%s, SampleLimit=%d, DisableCompression=%v, DisableKeepAlive=%v, StreamParse=%v, "+
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"ScrapeAlignInterval=%s, ScrapeOffset=%s, SeriesLimit=%d",
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sw.ScrapeURL, sw.ScrapeInterval, sw.ScrapeTimeout, sw.HonorLabels, sw.HonorTimestamps, sw.DenyRedirects, sw.LabelsString(),
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sw.ProxyURL.String(), sw.ProxyAuthConfig.String(),
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sw.AuthConfig.String(), sw.MetricRelabelConfigs.String(), sw.SampleLimit, sw.DisableCompression, sw.DisableKeepAlive, sw.StreamParse,
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sw.ScrapeAlignInterval, sw.ScrapeOffset, sw.SeriesLimit)
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return key
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}
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// Job returns job for the ScrapeWork
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func (sw *ScrapeWork) Job() string {
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return promrelabel.GetLabelValueByName(sw.Labels, "job")
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}
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// LabelsString returns labels in Prometheus format for the given sw.
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func (sw *ScrapeWork) LabelsString() string {
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labelsFinalized := promrelabel.FinalizeLabels(nil, sw.Labels)
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return promLabelsString(labelsFinalized)
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}
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func promLabelsString(labels []prompbmarshal.Label) string {
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// Calculate the required memory for storing serialized labels.
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n := 2 // for `{...}`
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for _, label := range labels {
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n += len(label.Name) + len(label.Value)
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n += 4 // for `="...",`
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}
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b := make([]byte, 0, n)
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b = append(b, '{')
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for i, label := range labels {
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b = append(b, label.Name...)
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b = append(b, '=')
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b = strconv.AppendQuote(b, label.Value)
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if i+1 < len(labels) {
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b = append(b, ',')
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}
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}
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b = append(b, '}')
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return bytesutil.ToUnsafeString(b)
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}
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type scrapeWork struct {
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// Config for the scrape.
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Config *ScrapeWork
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// ReadData is called for reading the data.
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ReadData func(dst []byte) ([]byte, error)
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// GetStreamReader is called if Config.StreamParse is set.
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GetStreamReader func() (*streamReader, error)
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// PushData is called for pushing collected data.
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PushData func(wr *prompbmarshal.WriteRequest)
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// ScrapeGroup is name of ScrapeGroup that
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// scrapeWork belongs to
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ScrapeGroup string
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tmpRow parser.Row
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// This flag is set to true if series_limit is exceeded.
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seriesLimitExceeded bool
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// labelsHashBuf is used for calculating the hash on series labels
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labelsHashBuf []byte
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// Optional limiter on the number of unique series per scrape target.
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seriesLimiter *bloomfilter.Limiter
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// prevBodyLen contains the previous response body length for the given scrape work.
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// It is used as a hint in order to reduce memory usage for body buffers.
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prevBodyLen int
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// prevLabelsLen contains the number labels scraped during the previous scrape.
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// It is used as a hint in order to reduce memory usage when parsing scrape responses.
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prevLabelsLen int
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// lastScrape holds the last response from scrape target.
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lastScrape []byte
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}
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func (sw *scrapeWork) run(stopCh <-chan struct{}) {
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var randSleep uint64
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scrapeInterval := sw.Config.ScrapeInterval
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scrapeAlignInterval := sw.Config.ScrapeAlignInterval
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scrapeOffset := sw.Config.ScrapeOffset
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if scrapeOffset > 0 {
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scrapeAlignInterval = scrapeInterval
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}
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if scrapeAlignInterval <= 0 {
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// Calculate start time for the first scrape from ScrapeURL and labels.
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// This should spread load when scraping many targets with different
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// scrape urls and labels.
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// This also makes consistent scrape times across restarts
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// for a target with the same ScrapeURL and labels.
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key := fmt.Sprintf("ScrapeURL=%s, Labels=%s", sw.Config.ScrapeURL, sw.Config.LabelsString())
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h := uint32(xxhash.Sum64(bytesutil.ToUnsafeBytes(key)))
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randSleep = uint64(float64(scrapeInterval) * (float64(h) / (1 << 32)))
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sleepOffset := uint64(time.Now().UnixNano()) % uint64(scrapeInterval)
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if randSleep < sleepOffset {
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randSleep += uint64(scrapeInterval)
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}
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randSleep -= sleepOffset
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} else {
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d := uint64(scrapeAlignInterval)
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randSleep = d - uint64(time.Now().UnixNano())%d
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if scrapeOffset > 0 {
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randSleep += uint64(scrapeOffset)
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}
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randSleep %= uint64(scrapeInterval)
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}
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timer := timerpool.Get(time.Duration(randSleep))
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var timestamp int64
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var ticker *time.Ticker
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select {
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case <-stopCh:
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timerpool.Put(timer)
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return
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case <-timer.C:
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timerpool.Put(timer)
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ticker = time.NewTicker(scrapeInterval)
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timestamp = time.Now().UnixNano() / 1e6
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sw.scrapeAndLogError(timestamp, timestamp)
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}
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defer ticker.Stop()
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for {
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timestamp += scrapeInterval.Milliseconds()
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select {
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case <-stopCh:
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t := time.Now().UnixNano() / 1e6
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sw.sendStaleSeries("", t, true)
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if sw.seriesLimiter != nil {
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sw.seriesLimiter.MustStop()
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}
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return
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case tt := <-ticker.C:
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t := tt.UnixNano() / 1e6
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if d := math.Abs(float64(t - timestamp)); d > 0 && d/float64(scrapeInterval.Milliseconds()) > 0.1 {
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// Too big jitter. Adjust timestamp
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timestamp = t
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}
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sw.scrapeAndLogError(timestamp, t)
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}
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}
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}
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func (sw *scrapeWork) logError(s string) {
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if !*suppressScrapeErrors {
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logger.ErrorfSkipframes(1, "error when scraping %q from job %q with labels %s: %s; "+
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"scrape errors can be disabled by -promscrape.suppressScrapeErrors command-line flag",
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sw.Config.ScrapeURL, sw.Config.Job(), sw.Config.LabelsString(), s)
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}
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}
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func (sw *scrapeWork) scrapeAndLogError(scrapeTimestamp, realTimestamp int64) {
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if err := sw.scrapeInternal(scrapeTimestamp, realTimestamp); err != nil && !*suppressScrapeErrors {
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logger.Errorf("error when scraping %q from job %q with labels %s: %s", sw.Config.ScrapeURL, sw.Config.Job(), sw.Config.LabelsString(), err)
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}
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}
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var (
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scrapeDuration = metrics.NewHistogram("vm_promscrape_scrape_duration_seconds")
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scrapeResponseSize = metrics.NewHistogram("vm_promscrape_scrape_response_size_bytes")
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scrapedSamples = metrics.NewHistogram("vm_promscrape_scraped_samples")
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scrapesSkippedBySampleLimit = metrics.NewCounter("vm_promscrape_scrapes_skipped_by_sample_limit_total")
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scrapesFailed = metrics.NewCounter("vm_promscrape_scrapes_failed_total")
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pushDataDuration = metrics.NewHistogram("vm_promscrape_push_data_duration_seconds")
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)
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func (sw *scrapeWork) scrapeInternal(scrapeTimestamp, realTimestamp int64) error {
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if *streamParse || sw.Config.StreamParse {
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// Read data from scrape targets in streaming manner.
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// This case is optimized for targets exposing millions and more of metrics per target.
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return sw.scrapeStream(scrapeTimestamp, realTimestamp)
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}
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// Common case: read all the data from scrape target to memory (body) and then process it.
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// This case should work more optimally than stream parse code for common case when scrape target exposes
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// up to a few thousand metrics.
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body := leveledbytebufferpool.Get(sw.prevBodyLen)
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var err error
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body.B, err = sw.ReadData(body.B[:0])
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endTimestamp := time.Now().UnixNano() / 1e6
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duration := float64(endTimestamp-realTimestamp) / 1e3
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scrapeDuration.Update(duration)
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scrapeResponseSize.Update(float64(len(body.B)))
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up := 1
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wc := writeRequestCtxPool.Get(sw.prevLabelsLen)
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bodyString := bytesutil.ToUnsafeString(body.B)
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lastScrape := bytesutil.ToUnsafeString(sw.lastScrape)
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areIdenticalSeries := parser.AreIdenticalSeriesFast(lastScrape, bodyString)
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if err != nil {
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up = 0
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scrapesFailed.Inc()
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} else {
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wc.rows.UnmarshalWithErrLogger(bodyString, sw.logError)
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}
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srcRows := wc.rows.Rows
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samplesScraped := len(srcRows)
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scrapedSamples.Update(float64(samplesScraped))
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for i := range srcRows {
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sw.addRowToTimeseries(wc, &srcRows[i], scrapeTimestamp, true)
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}
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samplesPostRelabeling := len(wc.writeRequest.Timeseries)
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if sw.Config.SampleLimit > 0 && samplesPostRelabeling > sw.Config.SampleLimit {
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wc.resetNoRows()
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up = 0
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scrapesSkippedBySampleLimit.Inc()
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err = fmt.Errorf("the response from %q exceeds sample_limit=%d; "+
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"either reduce the sample count for the target or increase sample_limit", sw.Config.ScrapeURL, sw.Config.SampleLimit)
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}
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if up == 0 {
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bodyString = ""
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}
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seriesAdded := 0
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if !areIdenticalSeries {
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// The returned value for seriesAdded may be bigger than the real number of added series
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// if some series were removed during relabeling.
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// This is a trade-off between performance and accuracy.
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seriesAdded = sw.getSeriesAdded(bodyString)
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}
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if sw.seriesLimitExceeded || !areIdenticalSeries {
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if sw.applySeriesLimit(wc) {
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sw.seriesLimitExceeded = true
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}
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}
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sw.addAutoTimeseries(wc, "up", float64(up), scrapeTimestamp)
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sw.addAutoTimeseries(wc, "scrape_duration_seconds", duration, scrapeTimestamp)
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sw.addAutoTimeseries(wc, "scrape_samples_scraped", float64(samplesScraped), scrapeTimestamp)
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sw.addAutoTimeseries(wc, "scrape_samples_post_metric_relabeling", float64(samplesPostRelabeling), scrapeTimestamp)
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sw.addAutoTimeseries(wc, "scrape_series_added", float64(seriesAdded), scrapeTimestamp)
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sw.pushData(&wc.writeRequest)
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sw.prevLabelsLen = len(wc.labels)
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wc.reset()
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writeRequestCtxPool.Put(wc)
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// body must be released only after wc is released, since wc refers to body.
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sw.prevBodyLen = len(body.B)
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if !areIdenticalSeries {
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sw.sendStaleSeries(bodyString, scrapeTimestamp, false)
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}
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sw.lastScrape = append(sw.lastScrape[:0], bodyString...)
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leveledbytebufferpool.Put(body)
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tsmGlobal.Update(sw.Config, sw.ScrapeGroup, up == 1, realTimestamp, int64(duration*1000), samplesScraped, err)
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return err
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}
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func (sw *scrapeWork) pushData(wr *prompbmarshal.WriteRequest) {
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startTime := time.Now()
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sw.PushData(wr)
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pushDataDuration.UpdateDuration(startTime)
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}
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func (sw *scrapeWork) scrapeStream(scrapeTimestamp, realTimestamp int64) error {
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samplesScraped := 0
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samplesPostRelabeling := 0
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responseSize := int64(0)
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wc := writeRequestCtxPool.Get(sw.prevLabelsLen)
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sr, err := sw.GetStreamReader()
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if err != nil {
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err = fmt.Errorf("cannot read data: %s", err)
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} else {
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var mu sync.Mutex
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err = parser.ParseStream(sr, scrapeTimestamp, false, func(rows []parser.Row) error {
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mu.Lock()
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defer mu.Unlock()
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samplesScraped += len(rows)
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for i := range rows {
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sw.addRowToTimeseries(wc, &rows[i], scrapeTimestamp, true)
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}
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// Push the collected rows to sw before returning from the callback, since they cannot be held
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// after returning from the callback - this will result in data race.
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// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/825#issuecomment-723198247
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samplesPostRelabeling += len(wc.writeRequest.Timeseries)
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if sw.Config.SampleLimit > 0 && samplesPostRelabeling > sw.Config.SampleLimit {
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wc.resetNoRows()
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scrapesSkippedBySampleLimit.Inc()
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return fmt.Errorf("the response from %q exceeds sample_limit=%d; "+
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"either reduce the sample count for the target or increase sample_limit", sw.Config.ScrapeURL, sw.Config.SampleLimit)
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}
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sw.pushData(&wc.writeRequest)
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wc.resetNoRows()
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return nil
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}, sw.logError)
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responseSize = sr.bytesRead
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sr.MustClose()
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}
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scrapedSamples.Update(float64(samplesScraped))
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endTimestamp := time.Now().UnixNano() / 1e6
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duration := float64(endTimestamp-realTimestamp) / 1e3
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scrapeDuration.Update(duration)
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scrapeResponseSize.Update(float64(responseSize))
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up := 1
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if err != nil {
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if samplesScraped == 0 {
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up = 0
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}
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scrapesFailed.Inc()
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}
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sw.addAutoTimeseries(wc, "up", float64(up), scrapeTimestamp)
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sw.addAutoTimeseries(wc, "scrape_duration_seconds", duration, scrapeTimestamp)
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sw.addAutoTimeseries(wc, "scrape_samples_scraped", float64(samplesScraped), scrapeTimestamp)
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sw.addAutoTimeseries(wc, "scrape_samples_post_metric_relabeling", float64(samplesPostRelabeling), scrapeTimestamp)
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// scrape_series_added isn't calculated in streaming mode,
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// since it may need unlimited amounts of memory when scraping targets with millions of exposed metrics.
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sw.addAutoTimeseries(wc, "scrape_series_added", 0, scrapeTimestamp)
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sw.pushData(&wc.writeRequest)
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sw.prevLabelsLen = len(wc.labels)
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wc.reset()
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writeRequestCtxPool.Put(wc)
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tsmGlobal.Update(sw.Config, sw.ScrapeGroup, up == 1, realTimestamp, int64(duration*1000), samplesScraped, err)
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// Do not track active series in streaming mode, since this may need too big amounts of memory
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// when the target exports too big number of metrics.
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return err
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}
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// leveledWriteRequestCtxPool allows reducing memory usage when writeRequesCtx
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// structs contain mixed number of labels.
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//
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// Its logic has been copied from leveledbytebufferpool.
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type leveledWriteRequestCtxPool struct {
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pools [13]sync.Pool
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}
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func (lwp *leveledWriteRequestCtxPool) Get(labelsCapacity int) *writeRequestCtx {
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id, capacityNeeded := lwp.getPoolIDAndCapacity(labelsCapacity)
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for i := 0; i < 2; i++ {
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|
if id < 0 || id >= len(lwp.pools) {
|
|
break
|
|
}
|
|
if v := lwp.pools[id].Get(); v != nil {
|
|
return v.(*writeRequestCtx)
|
|
}
|
|
id++
|
|
}
|
|
return &writeRequestCtx{
|
|
labels: make([]prompbmarshal.Label, 0, capacityNeeded),
|
|
}
|
|
}
|
|
|
|
func (lwp *leveledWriteRequestCtxPool) Put(wc *writeRequestCtx) {
|
|
capacity := cap(wc.labels)
|
|
id, poolCapacity := lwp.getPoolIDAndCapacity(capacity)
|
|
if capacity <= poolCapacity {
|
|
wc.reset()
|
|
lwp.pools[id].Put(wc)
|
|
}
|
|
}
|
|
|
|
func (lwp *leveledWriteRequestCtxPool) getPoolIDAndCapacity(size int) (int, int) {
|
|
size--
|
|
if size < 0 {
|
|
size = 0
|
|
}
|
|
size >>= 3
|
|
id := bits.Len(uint(size))
|
|
if id >= len(lwp.pools) {
|
|
id = len(lwp.pools) - 1
|
|
}
|
|
return id, (1 << (id + 3))
|
|
}
|
|
|
|
type writeRequestCtx struct {
|
|
rows parser.Rows
|
|
writeRequest prompbmarshal.WriteRequest
|
|
labels []prompbmarshal.Label
|
|
samples []prompbmarshal.Sample
|
|
}
|
|
|
|
func (wc *writeRequestCtx) reset() {
|
|
wc.rows.Reset()
|
|
wc.resetNoRows()
|
|
}
|
|
|
|
func (wc *writeRequestCtx) resetNoRows() {
|
|
prompbmarshal.ResetWriteRequest(&wc.writeRequest)
|
|
wc.labels = wc.labels[:0]
|
|
wc.samples = wc.samples[:0]
|
|
}
|
|
|
|
var writeRequestCtxPool leveledWriteRequestCtxPool
|
|
|
|
func (sw *scrapeWork) getSeriesAdded(currScrape string) int {
|
|
if currScrape == "" {
|
|
return 0
|
|
}
|
|
lastScrape := bytesutil.ToUnsafeString(sw.lastScrape)
|
|
bodyString := parser.GetRowsDiff(currScrape, lastScrape)
|
|
return strings.Count(bodyString, "\n")
|
|
}
|
|
|
|
func (sw *scrapeWork) applySeriesLimit(wc *writeRequestCtx) bool {
|
|
seriesLimit := *seriesLimitPerTarget
|
|
if sw.Config.SeriesLimit > 0 {
|
|
seriesLimit = sw.Config.SeriesLimit
|
|
}
|
|
if sw.seriesLimiter == nil && seriesLimit > 0 {
|
|
sw.seriesLimiter = bloomfilter.NewLimiter(seriesLimit, 24*time.Hour)
|
|
}
|
|
hsl := sw.seriesLimiter
|
|
if hsl == nil {
|
|
return false
|
|
}
|
|
dstSeries := wc.writeRequest.Timeseries[:0]
|
|
job := sw.Config.Job()
|
|
limitExceeded := false
|
|
for _, ts := range wc.writeRequest.Timeseries {
|
|
h := sw.getLabelsHash(ts.Labels)
|
|
if !hsl.Add(h) {
|
|
// The limit on the number of hourly unique series per scrape target has been exceeded.
|
|
// Drop the metric.
|
|
metrics.GetOrCreateCounter(fmt.Sprintf(`promscrape_series_limit_rows_dropped_total{scrape_job_original=%q,scrape_job=%q,scrape_target=%q}`,
|
|
sw.Config.jobNameOriginal, job, sw.Config.ScrapeURL)).Inc()
|
|
limitExceeded = true
|
|
continue
|
|
}
|
|
dstSeries = append(dstSeries, ts)
|
|
}
|
|
wc.writeRequest.Timeseries = dstSeries
|
|
return limitExceeded
|
|
}
|
|
|
|
func (sw *scrapeWork) sendStaleSeries(currScrape string, timestamp int64, addAutoSeries bool) {
|
|
if *noStaleMarkers {
|
|
return
|
|
}
|
|
lastScrape := bytesutil.ToUnsafeString(sw.lastScrape)
|
|
bodyString := lastScrape
|
|
if currScrape != "" {
|
|
bodyString = parser.GetRowsDiff(lastScrape, currScrape)
|
|
}
|
|
wc := &writeRequestCtx{}
|
|
if bodyString != "" {
|
|
wc.rows.Unmarshal(bodyString)
|
|
srcRows := wc.rows.Rows
|
|
for i := range srcRows {
|
|
sw.addRowToTimeseries(wc, &srcRows[i], timestamp, true)
|
|
}
|
|
}
|
|
if addAutoSeries {
|
|
sw.addAutoTimeseries(wc, "up", 0, timestamp)
|
|
sw.addAutoTimeseries(wc, "scrape_duration_seconds", 0, timestamp)
|
|
sw.addAutoTimeseries(wc, "scrape_samples_scraped", 0, timestamp)
|
|
sw.addAutoTimeseries(wc, "scrape_samples_post_metric_relabeling", 0, timestamp)
|
|
sw.addAutoTimeseries(wc, "scrape_series_added", 0, timestamp)
|
|
}
|
|
series := wc.writeRequest.Timeseries
|
|
if len(series) == 0 {
|
|
return
|
|
}
|
|
// Substitute all the values with Prometheus stale markers.
|
|
for _, tss := range series {
|
|
samples := tss.Samples
|
|
for i := range samples {
|
|
samples[i].Value = decimal.StaleNaN
|
|
}
|
|
}
|
|
sw.pushData(&wc.writeRequest)
|
|
}
|
|
|
|
func (sw *scrapeWork) getLabelsHash(labels []prompbmarshal.Label) uint64 {
|
|
// It is OK if there will be hash collisions for distinct sets of labels,
|
|
// since the accuracy for `scrape_series_added` metric may be lower than 100%.
|
|
b := sw.labelsHashBuf[:0]
|
|
for _, label := range labels {
|
|
b = append(b, label.Name...)
|
|
b = append(b, label.Value...)
|
|
}
|
|
sw.labelsHashBuf = b
|
|
return xxhash.Sum64(b)
|
|
}
|
|
|
|
// 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(wc *writeRequestCtx, name string, value float64, timestamp int64) {
|
|
sw.tmpRow.Metric = name
|
|
sw.tmpRow.Tags = nil
|
|
sw.tmpRow.Value = value
|
|
sw.tmpRow.Timestamp = timestamp
|
|
sw.addRowToTimeseries(wc, &sw.tmpRow, timestamp, false)
|
|
}
|
|
|
|
func (sw *scrapeWork) addRowToTimeseries(wc *writeRequestCtx, r *parser.Row, timestamp int64, needRelabel bool) {
|
|
labelsLen := len(wc.labels)
|
|
wc.labels = appendLabels(wc.labels, r.Metric, r.Tags, sw.Config.Labels, sw.Config.HonorLabels)
|
|
if needRelabel {
|
|
wc.labels = sw.Config.MetricRelabelConfigs.Apply(wc.labels, labelsLen, true)
|
|
} else {
|
|
wc.labels = promrelabel.FinalizeLabels(wc.labels[:labelsLen], wc.labels[labelsLen:])
|
|
promrelabel.SortLabels(wc.labels[labelsLen:])
|
|
}
|
|
if len(wc.labels) == labelsLen {
|
|
// Skip row without labels.
|
|
return
|
|
}
|
|
sampleTimestamp := r.Timestamp
|
|
if !sw.Config.HonorTimestamps || sampleTimestamp == 0 {
|
|
sampleTimestamp = timestamp
|
|
}
|
|
wc.samples = append(wc.samples, prompbmarshal.Sample{
|
|
Value: r.Value,
|
|
Timestamp: sampleTimestamp,
|
|
})
|
|
wr := &wc.writeRequest
|
|
wr.Timeseries = append(wr.Timeseries, prompbmarshal.TimeSeries{
|
|
Labels: wc.labels[labelsLen:],
|
|
Samples: wc.samples[len(wc.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)]
|
|
}
|