mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
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lib/promscrape: send stale markers for disappeared metrics like Prometheus does
This commit is contained in:
Aliaksandr Valialkin
parent
e1632dc0df
commit
5aaaa686a4
@ -292,7 +292,15 @@ You can read more about relabeling in the following articles:
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## Prometheus staleness markers
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Starting from [v1.64.0](https://docs.victoriametrics.com/CHANGELOG.html#v1640), `vmagent` sends [Prometheus staleness markers](https://www.robustperception.io/staleness-and-promql) for scraped metrics when the scrape target is removed from the list of targets. Prometheus staleness markers aren't sent in [stream parsing mode](#stream-parsing-mode) or if `-promscrape.noStaleMarkers` command-line is set.
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`vmagent` sends [Prometheus staleness markers](https://www.robustperception.io/staleness-and-promql) to `-remoteWrite.url` in the following cases:
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* If they are passed to `vmagent` via [Prometheus remote_write protocol](#prometheus-remote_write-proxy).
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* If the metric disappears from the list of scraped metrics, then stale marker is sent to this particular metrics.
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* If the scrape target becomes temporarily unavailable, then stale markers are sent for all the metrics scraped from this target.
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* If the scrape target is removed from the list of targets, then stale markers are sent for all the metrics scraped from this target.
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* Stale markers are sent for all the scraped metrics on graceful shutdown of `vmagent`.
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Prometheus staleness markers aren't sent in [stream parsing mode](#stream-parsing-mode) or if `-promscrape.noStaleMarkers` command-line is set.
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## Stream parsing mode
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@ -7,6 +7,7 @@ sort: 15
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## tip
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* FEATURE: vmalert: add web UI with the list of alerting groups, alerts and alert statuses. See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/1602).
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* FEATURE: vmagent: send stale markers for disappeared metrics like Prometheus does. Previously stale markers were sent only when the scrape target disappears or when it becomes temporarily unavailable. See [these docs](https://docs.victoriametrics.com/vmagent.html#prometheus-staleness-markers) for details.
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* FEATURE: vmagent: add ability to set `series_limit` option for a particular scrape target via `__series_limit__` label. This allows setting the limit on the number of time series on a per-target basis. See [these docs](https://docs.victoriametrics.com/vmagent.html#cardinality-limiter) for details.
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* FEATURE: vmagent: add ability to set `stream_parse` option for a particular scrape target via `__stream_parse__` label. This allows managing the stream parsing mode on a per-target basis. See [these docs](https://docs.victoriametrics.com/vmagent.html#stream-parsing-mode) for details.
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* FEATURE: add new relabeling actions: `keep_metrics` and `drop_metrics`. This simplifies metrics filtering by metric names. See [these docs](https://docs.victoriametrics.com/vmagent.html#relabeling) for more details.
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@ -248,7 +248,7 @@ func (sw *scrapeWork) run(stopCh <-chan struct{}) {
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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.sendStaleMarkersForLastScrape(t, true)
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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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@ -344,9 +344,8 @@ func (sw *scrapeWork) scrapeInternal(scrapeTimestamp, realTimestamp int64) error
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tsmGlobal.Update(sw.Config, sw.ScrapeGroup, up == 1, realTimestamp, int64(duration*1000), samplesScraped, err)
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if up == 0 {
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bodyString = ""
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sw.sendStaleMarkersForLastScrape(scrapeTimestamp, false)
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}
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sw.updateLastScrape(bodyString)
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sw.sendStaleSeries(bodyString, scrapeTimestamp, false)
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return err
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}
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@ -519,23 +518,29 @@ func (sw *scrapeWork) updateSeriesAdded(wc *writeRequestCtx) {
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wc.writeRequest.Timeseries = dstSeries
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}
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func (sw *scrapeWork) updateLastScrape(response string) {
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func (sw *scrapeWork) sendStaleSeries(currScrape string, timestamp int64, addAutoSeries bool) {
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if *noStaleMarkers {
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return
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}
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sw.lastScrape = append(sw.lastScrape[:0], response...)
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}
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func (sw *scrapeWork) sendStaleMarkersForLastScrape(timestamp int64, addAutoSeries bool) {
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bodyString := bytesutil.ToUnsafeString(sw.lastScrape)
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if len(bodyString) == 0 && !addAutoSeries {
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lastScrape := bytesutil.ToUnsafeString(sw.lastScrape)
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if parser.AreIdenticalSeriesFast(lastScrape, currScrape) {
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// Fast path: the current scrape contains the same set of series as the previous scrape.
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return
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}
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// Slow path: the current scrape contains different set of series than the previous scrape.
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// Detect missing series in the current scrape and send stale markers for them.
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bodyString := lastScrape
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if currScrape != "" {
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bodyString = parser.GetDiffWithStaleRows(lastScrape, currScrape)
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}
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wc := writeRequestCtxPool.Get(sw.prevLabelsLen)
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wc.rows.UnmarshalWithErrLogger(bodyString, sw.logError)
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srcRows := wc.rows.Rows
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for i := range srcRows {
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sw.addRowToTimeseries(wc, &srcRows[i], timestamp, true)
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defer writeRequestCtxPool.Put(wc)
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if bodyString != "" {
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wc.rows.Unmarshal(bodyString)
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srcRows := wc.rows.Rows
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for i := range srcRows {
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sw.addRowToTimeseries(wc, &srcRows[i], timestamp, true)
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}
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}
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if addAutoSeries {
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sw.addAutoTimeseries(wc, "up", 0, timestamp)
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@ -556,7 +561,7 @@ func (sw *scrapeWork) sendStaleMarkersForLastScrape(timestamp int64, addAutoSeri
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}
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}
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sw.pushData(&wc.writeRequest)
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writeRequestCtxPool.Put(wc)
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sw.lastScrape = append(sw.lastScrape[:0], currScrape...)
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}
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func (sw *scrapeWork) finalizeSeriesAdded(lastScrapeSize int) int {
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@ -2,6 +2,7 @@ package prometheus
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import (
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"fmt"
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"strconv"
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"strings"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
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@ -364,3 +365,217 @@ func prevBackslashesCount(s string) int {
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}
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return n
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}
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// GetDiffWithStaleRows returns rows from s1, which are missing in s2.
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//
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// The returned rows have default value 0 and have no timestamps.
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func GetDiffWithStaleRows(s1, s2 string) string {
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var r1, r2 Rows
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r1.Unmarshal(s1)
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r2.Unmarshal(s2)
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rows1 := r1.Rows
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rows2 := r2.Rows
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m := make(map[string]bool, len(rows2))
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for i := range rows2 {
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r := &rows2[i]
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key := marshalMetricNameWithTags(r)
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m[key] = true
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}
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var diff []byte
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for i := range rows1 {
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r := &rows1[i]
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key := marshalMetricNameWithTags(r)
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if !m[key] {
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logger.Infof("missing %s", key)
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diff = append(diff, key...)
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diff = append(diff, " 0\n"...)
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} else {
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logger.Infof("found %s", key)
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}
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}
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return string(diff)
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}
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func marshalMetricNameWithTags(r *Row) string {
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if len(r.Tags) == 0 {
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return r.Metric
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}
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var b []byte
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b = append(b, r.Metric...)
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b = append(b, '{')
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for i, t := range r.Tags {
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b = append(b, t.Key...)
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b = append(b, '=')
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b = strconv.AppendQuote(b, t.Value)
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if i+1 < len(r.Tags) {
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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 string(b)
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}
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// AreIdenticalSeriesFast returns true if s1 and s2 contains identical Prometheus series with possible different values.
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//
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// This function is optimized for speed.
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func AreIdenticalSeriesFast(s1, s2 string) bool {
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for {
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if len(s1) == 0 {
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// The last byte on the line reached.
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return len(s2) == 0
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}
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if len(s2) == 0 {
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// The last byte on s2 reached, while s1 has non-empty contents.
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return false
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}
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// Extract the next pair of lines from s1 and s2.
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var x1, x2 string
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n1 := strings.IndexByte(s1, '\n')
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if n1 < 0 {
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x1 = s1
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s1 = ""
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} else {
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x1 = s1[:n1]
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s1 = s1[n1+1:]
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}
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if n := strings.IndexByte(x1, '#'); n >= 0 {
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// Drop comment.
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x1 = x1[:n]
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}
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n2 := strings.IndexByte(s2, '\n')
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if n2 < 0 {
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if n1 >= 0 {
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return false
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}
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x2 = s2
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s2 = ""
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} else {
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if n1 < 0 {
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return false
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}
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x2 = s2[:n2]
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s2 = s2[n2+1:]
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}
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if n := strings.IndexByte(x2, '#'); n >= 0 {
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// Drop comment.
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x2 = x2[:n]
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}
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// Skip whitespaces in front of lines
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for len(x1) > 0 && x1[0] == ' ' {
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if len(x2) == 0 || x2[0] != ' ' {
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return false
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}
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x1 = x1[1:]
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x2 = x2[1:]
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}
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if len(x1) == 0 {
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// The last byte on x1 reached.
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if len(x2) != 0 {
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return false
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}
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continue
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}
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if len(x2) == 0 {
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// The last byte on x2 reached, while x1 has non-empty contents.
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return false
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}
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// Compare metric names
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n := strings.IndexByte(x1, ' ')
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if n < 0 {
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// Invalid Prometheus line - it must contain at least a single space between metric name and value
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return false
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}
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n++
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if n > len(x2) || x1[:n] != x2[:n] {
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// Metric names mismatch
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return false
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}
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x1 = x1[n:]
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x2 = x2[n:]
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// The space could belong to metric name in the following cases:
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// foo {bar="baz"} 1
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// foo{ bar="baz"} 2
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// foo{bar="baz", aa="b"} 3
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// foo{bar="b az"} 4
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// foo 5
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// Continue comparing the remaining parts until space or newline.
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for {
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n1 := strings.IndexByte(x1, ' ')
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if n1 < 0 {
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// Fast path.
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// Treat x1 as a value.
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// Skip values at x1 and x2.
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n2 := strings.IndexByte(x2, ' ')
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if n2 >= 0 {
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// x2 contains additional parts.
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return false
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}
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break
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}
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n1++
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// Slow path.
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// The x1[:n1] can be either a part of metric name or a value if timestamp is present:
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// foo 12 34
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if isNumeric(x1[:n1-1]) {
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// Skip numeric part (most likely a value before timestamp) in x1 and x2
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n2 := strings.IndexByte(x2, ' ')
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if n2 < 0 {
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// x2 contains less parts than x1
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return false
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}
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n2++
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if !isNumeric(x2[:n2-1]) {
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// x1 contains numeric part, while x2 contains non-numeric part
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return false
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}
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x1 = x1[n1:]
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x2 = x2[n2:]
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} else {
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// The non-numeric part from x1 must match the corresponding part from x2.
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if n1 > len(x2) || x1[:n1] != x2[:n1] {
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// Parts mismatch
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return false
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}
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x1 = x1[n1:]
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x2 = x2[n1:]
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}
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}
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}
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}
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func isNumeric(s string) bool {
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for i := 0; i < len(s); i++ {
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if numericChars[s[i]] {
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continue
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}
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if i == 0 && s == "NaN" || s == "nan" || s == "Inf" || s == "inf" {
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return true
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}
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if i == 1 && (s[0] == '-' || s[0] == '+') && (s[1:] == "Inf" || s[1:] == "inf") {
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return true
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}
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return false
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}
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return true
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}
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var numericChars = [256]bool{
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'0': true,
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'1': true,
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'2': true,
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'3': true,
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'4': true,
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'5': true,
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'6': true,
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'7': true,
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'8': true,
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'9': true,
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'-': true,
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'+': true,
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'e': true,
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'E': true,
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'.': true,
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}
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@ -6,6 +6,87 @@ import (
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"testing"
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)
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func TestGetDiffWithStaleRows(t *testing.T) {
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f := func(s1, s2, resultExpected string) {
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t.Helper()
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result := GetDiffWithStaleRows(s1, s2)
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if result != resultExpected {
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t.Fatalf("unexpected result for GetDiffWithStaleRows(%q, %q); got %q; want %q", s1, s2, result, resultExpected)
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}
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}
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f("", "", "")
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f("", "foo 1", "")
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f(" ", "foo 1", "")
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f("foo 123", "", "foo 0\n")
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f("foo 123", "bar 3", "foo 0\n")
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f("foo 123", "bar 3\nfoo 344", "")
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f("foo{x=\"y\", z=\"a a a\"} 123", "bar 3\nfoo{x=\"y\", z=\"b b b\"} 344", "foo{x=\"y\",z=\"a a a\"} 0\n")
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f("foo{bar=\"baz\"} 123\nx 3.4 5\ny 5 6", "x 34 342", "foo{bar=\"baz\"} 0\ny 0\n")
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}
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func TestAreIdenticalSeriesFast(t *testing.T) {
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f := func(s1, s2 string, resultExpected bool) {
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t.Helper()
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result := AreIdenticalSeriesFast(s1, s2)
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if result != resultExpected {
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t.Fatalf("unexpected result for AreIdenticalSeries(%q, %q); got %v; want %v", s1, s2, result, resultExpected)
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}
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}
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f("", "", true)
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f("", "a 1", false) // different number of metrics
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f(" ", " a 1", false) // different number of metrics
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f("a 1", "", false) // different number of metrics
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f(" a 1", " ", false) // different number of metrics
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f("foo", "foo", false) // missing value
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f("foo 1", "foo 1", true)
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f("foo 1", "foo 2", true)
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f("foo 1 ", "foo 2 ", true)
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f("foo 1 ", "foo 2 ", false) // different number of spaces
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f("foo 1 ", "foo 2 ", false) // different number of spaces
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f("foo nan", "foo -inf", true)
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f("foo 1 # coment x", "foo 2 #comment y", true)
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f(" foo 1", " foo 1", true)
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f(" foo 1", " foo 1", false) // different number of spaces in front of metric
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f(" foo 1", " foo 1", false) // different number of spaces in front of metric
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f("foo 1", "bar 1", false) // different metric name
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f("foo 1", "fooo 1", false) // different metric name
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f("foo 123", "foo 32.32", true)
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f(`foo{bar="x"} -3.3e-6`, `foo{bar="x"} 23343`, true)
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f(`foo{} 1`, `foo{} 234`, true)
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f(`foo {x="y x" } 234`, `foo {x="y x" } 43.342`, true)
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f(`foo {x="y x"} 234`, `foo{x="y x"} 43.342`, false) // different spaces
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f("foo 2\nbar 3", "foo 34.43\nbar -34.3", true)
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f("foo 2\nbar 3", "foo 34.43\nbarz -34.3", false) // different metric names
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f("\nfoo 13\n", "\nfoo 3.4\n", true)
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f("\nfoo 13", "\nfoo 3.4\n", false) // different number of blank lines
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f("\nfoo 13\n", "\nfoo 3.4", false) // different number of blank lines
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f("\n\nfoo 1", "\n\nfoo 34.43", true)
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f("\n\nfoo 3434\n", "\n\nfoo 43\n", true)
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f("\nfoo 1", "\n\nfoo 34.43", false) // different number of blank lines
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f("#foo{bar}", "#baz", true)
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f("", "#baz", false) // different number of comments
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f("#foo{bar}", "", false) // different number of comments
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f("#foo{bar}", "bar 3", false) // different number of comments
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f("foo{bar} 2", "#bar 3", false) // different number of comments
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f("#foo\n", "#bar", false) // different number of blank lines
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f("#foo{bar}\n#baz", "#baz\n#xdsfds dsf", true)
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f("# foo\nbar 234\nbaz{x=\"y\", z=\"\"} 3", "# foo\nbar 3.3\nbaz{x=\"y\", z=\"\"} 4323", true)
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f("# foo\nbar 234\nbaz{x=\"z\", z=\"\"} 3", "# foo\nbar 3.3\nbaz{x=\"y\", z=\"\"} 4323", false) // different label value
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f("foo {bar=\"xfdsdsffdsa\"} 1", "foo {x=\"y\"} 2", false) // different labels
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f("foo {x=\"z\"} 1", "foo {x=\"y\"} 2", false) // different label value
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// Lines with timestamps
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f("foo 1 2", "foo 234 4334", true)
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f("foo 2", "foo 3 4", false) // missing timestamp
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f("foo 2 1", "foo 3", false) // missing timestamp
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f("foo{bar=\"b az\"} 2 5", "foo{bar=\"b az\"} +6.3 7.43", true)
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f("foo{bar=\"b az\"} 2 5 # comment ss ", "foo{bar=\"b az\"} +6.3 7.43 # comment as ", true)
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f("foo{bar=\"b az\"} 2 5 #comment", "foo{bar=\"b az\"} +6.3 7.43 #comment {foo=\"bar\"} 21.44", true)
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f("foo{bar=\"b az\"} +Inf 5", "foo{bar=\"b az\"} NaN 7.43", true)
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f("foo{bar=\"b az\"} +Inf 5", "foo{bar=\"b az\"} nan 7.43", true)
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f("foo{bar=\"b az\"} +Inf 5", "foo{bar=\"b az\"} nansf 7.43", false) // invalid value
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}
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|
||||
func TestPrevBackslashesCount(t *testing.T) {
|
||||
f := func(s string, nExpected int) {
|
||||
t.Helper()
|
||||
@ -105,6 +186,10 @@ func TestRowsUnmarshalFailure(t *testing.T) {
|
||||
// empty metric name
|
||||
f(`{foo="bar"}`)
|
||||
|
||||
// Invalid quotes for label value
|
||||
f(`{foo='bar'} 23`)
|
||||
f("{foo=`bar`} 23")
|
||||
|
||||
// Missing value
|
||||
f("aaa")
|
||||
f(" aaa")
|
||||
|
||||
@ -5,6 +5,116 @@ import (
|
||||
"testing"
|
||||
)
|
||||
|
||||
func BenchmarkAreIdenticalSeriesFast(b *testing.B) {
|
||||
b.Run("identical-series-no-timestamps", func(b *testing.B) {
|
||||
s := `
|
||||
# HELP machine_cpu_cores Number of logical CPU cores.
|
||||
# TYPE machine_cpu_cores gauge
|
||||
machine_cpu_cores{boot_id="a1b49bdb-4c2a-4943-9ab3-363a316e9260",machine_id="857143c2dbea4a179223627cf9f47d06",system_uuid="03a75ec7-5105-421a-8b8a-3d7190f6e890"} 4
|
||||
# HELP machine_cpu_physical_cores Number of physical CPU cores.
|
||||
# TYPE machine_cpu_physical_cores gauge
|
||||
machine_cpu_physical_cores{boot_id="a1b49bdb-4c2a-4943-9ab3-363a316e9260",machine_id="857143c2dbea4a179223627cf9f47d06",system_uuid="03a75ec7-5105-421a-8b8a-3d7190f6e890"} 2
|
||||
# HELP machine_cpu_sockets Number of CPU sockets.
|
||||
# TYPE machine_cpu_sockets gauge
|
||||
machine_cpu_sockets{boot_id="a1b49bdb-4c2a-4943-9ab3-363a316e9260",machine_id="857143c2dbea4a179223627cf9f47d06",system_uuid="03a75ec7-5105-421a-8b8a-3d7190f6e890"} 1
|
||||
# HELP machine_memory_bytes Amount of memory installed on the machine.
|
||||
# TYPE machine_memory_bytes gauge
|
||||
machine_memory_bytes{boot_id="a1b49bdb-4c2a-4943-9ab3-363a316e9260",machine_id="857143c2dbea4a179223627cf9f47d06",system_uuid="03a75ec7-5105-421a-8b8a-3d7190f6e890"} 1.6706146304e+10
|
||||
# HELP machine_nvm_avg_power_budget_watts NVM power budget.
|
||||
# TYPE machine_nvm_avg_power_budget_watts gauge
|
||||
machine_nvm_avg_power_budget_watts{boot_id="a1b49bdb-4c2a-4943-9ab3-363a316e9260",machine_id="857143c2dbea4a179223627cf9f47d06",system_uuid="03a75ec7-5105-421a-8b8a-3d7190f6e890"} 0
|
||||
# HELP machine_nvm_capacity NVM capacity value labeled by NVM mode (memory mode or app direct mode).
|
||||
# TYPE machine_nvm_capacity gauge
|
||||
machine_nvm_capacity{boot_id="a1b49bdb-4c2a-4943-9ab3-363a316e9260",machine_id="857143c2dbea4a179223627cf9f47d06",mode="app_direct_mode",system_uuid="03a75ec7-5105-421a-8b8a-3d7190f6e890"} 0
|
||||
machine_nvm_capacity{boot_id="a1b49bdb-4c2a-4943-9ab3-363a316e9260",machine_id="857143c2dbea4a179223627cf9f47d06",mode="memory_mode",system_uuid="03a75ec7-5105-421a-8b8a-3d7190f6e890"} 0
|
||||
# HELP machine_scrape_error 1 if there was an error while getting machine metrics, 0 otherwise.
|
||||
# TYPE machine_scrape_error gauge
|
||||
machine_scrape_error 0
|
||||
`
|
||||
benchmarkAreIdenticalSeriesFast(b, s, s, true)
|
||||
})
|
||||
b.Run("different-series-no-timestamps", func(b *testing.B) {
|
||||
s := `
|
||||
# HELP machine_cpu_cores Number of logical CPU cores.
|
||||
# TYPE machine_cpu_cores gauge
|
||||
machine_cpu_cores{boot_id="a1b49bdb-4c2a-4943-9ab3-363a316e9260",machine_id="857143c2dbea4a179223627cf9f47d06",system_uuid="03a75ec7-5105-421a-8b8a-3d7190f6e890"} 4
|
||||
# HELP machine_cpu_physical_cores Number of physical CPU cores.
|
||||
# TYPE machine_cpu_physical_cores gauge
|
||||
machine_cpu_physical_cores{boot_id="a1b49bdb-4c2a-4943-9ab3-363a316e9260",machine_id="857143c2dbea4a179223627cf9f47d06",system_uuid="03a75ec7-5105-421a-8b8a-3d7190f6e890"} 2
|
||||
# HELP machine_cpu_sockets Number of CPU sockets.
|
||||
# TYPE machine_cpu_sockets gauge
|
||||
machine_cpu_sockets{boot_id="a1b49bdb-4c2a-4943-9ab3-363a316e9260",machine_id="857143c2dbea4a179223627cf9f47d06",system_uuid="03a75ec7-5105-421a-8b8a-3d7190f6e890"} 1
|
||||
# HELP machine_memory_bytes Amount of memory installed on the machine.
|
||||
# TYPE machine_memory_bytes gauge
|
||||
machine_memory_bytes{boot_id="a1b49bdb-4c2a-4943-9ab3-363a316e9260",machine_id="857143c2dbea4a179223627cf9f47d06",system_uuid="03a75ec7-5105-421a-8b8a-3d7190f6e890"} 1.6706146304e+10
|
||||
# HELP machine_nvm_avg_power_budget_watts NVM power budget.
|
||||
# TYPE machine_nvm_avg_power_budget_watts gauge
|
||||
machine_nvm_avg_power_budget_watts{boot_id="a1b49bdb-4c2a-4943-9ab3-363a316e9260",machine_id="857143c2dbea4a179223627cf9f47d06",system_uuid="03a75ec7-5105-421a-8b8a-3d7190f6e890"} 0
|
||||
# HELP machine_nvm_capacity NVM capacity value labeled by NVM mode (memory mode or app direct mode).
|
||||
# TYPE machine_nvm_capacity gauge
|
||||
machine_nvm_capacity{boot_id="a1b49bdb-4c2a-4943-9ab3-363a316e9260",machine_id="857143c2dbea4a179223627cf9f47d06",mode="app_direct_mode",system_uuid="03a75ec7-5105-421a-8b8a-3d7190f6e890"} 0
|
||||
machine_nvm_capacity{boot_id="a1b49bdb-4c2a-4943-9ab3-363a316e9260",machine_id="857143c2dbea4a179223627cf9f47d06",mode="memory_mode",system_uuid="03a75ec7-5105-421a-8b8a-3d7190f6e890"} 0
|
||||
# HELP machine_scrape_error 1 if there was an error while getting machine metrics, 0 otherwise.
|
||||
# TYPE machine_scrape_error gauge
|
||||
machine_scrape_error 0
|
||||
`
|
||||
benchmarkAreIdenticalSeriesFast(b, s, s+"\nfoo 1", false)
|
||||
})
|
||||
b.Run("identical-series-with-timestamps", func(b *testing.B) {
|
||||
s := `
|
||||
container_ulimits_soft{container="",id="/kubelet/kubepods/burstable/pod48ea6dbad93797db01928fb7884b8154/49d928b5e3e3398730c9ce9de02171bb139b5bf2f485b153d9a293114a5762a3",image="sha256:0184c1613d92931126feb4c548e5da11015513b9e4c104e7305ee8b53b50a9da",name="49d928b5e3e3398730c9ce9de02171bb139b5bf2f485b153d9a293114a5762a3",namespace="kube-system",pod="kube-apiserver-kind-control-plane",ulimit="max_open_files"} 1.048576e+06 1631113856793
|
||||
container_ulimits_soft{container="",id="/kubelet/kubepods/burstable/pod69cd289b4ed80ced4f95a59ff60fa102/602a9be3cad5ca8aa57bdbb4a947ddd3b1b229b6e54c7acbb6906de061d51d05",image="sha256:0184c1613d92931126feb4c548e5da11015513b9e4c104e7305ee8b53b50a9da",name="602a9be3cad5ca8aa57bdbb4a947ddd3b1b229b6e54c7acbb6906de061d51d05",namespace="kube-system",pod="kube-scheduler-kind-control-plane",ulimit="max_open_files"} 1.048576e+06 1631113855488
|
||||
container_ulimits_soft{container="",id="/kubelet/kubepods/burstable/pod86744a0c8ef8da0d937493e4ed918cda/2f1a3706328f86337864f7c2c7100aabf9cabf03fef5518e883380977372d53f",image="sha256:0184c1613d92931126feb4c548e5da11015513b9e4c104e7305ee8b53b50a9da",name="2f1a3706328f86337864f7c2c7100aabf9cabf03fef5518e883380977372d53f",namespace="kube-system",pod="kube-controller-manager-kind-control-plane",ulimit="max_open_files"} 1.048576e+06 1631113858430
|
||||
container_ulimits_soft{container="",id="/kubelet/kubepods/burstable/poda4a6a8d4c9c0100deb8dc3a1d3adfa32/a84ce063fb5cab82bb938151e9fa1e98ad875c3cf5dad88d797d4c65c6229c13",image="sha256:0184c1613d92931126feb4c548e5da11015513b9e4c104e7305ee8b53b50a9da",name="a84ce063fb5cab82bb938151e9fa1e98ad875c3cf5dad88d797d4c65c6229c13",namespace="kube-system",pod="etcd-kind-control-plane",ulimit="max_open_files"} 1.048576e+06 1631113850216
|
||||
container_ulimits_soft{container="",id="/kubelet/kubepods/poda922c399-764c-4614-8a2d-84bdd6765ffc/ec6b156815cc77c389fe08a4be82603514c8929a9827b8ba27f9cb9c0b57b067",image="sha256:0184c1613d92931126feb4c548e5da11015513b9e4c104e7305ee8b53b50a9da",name="ec6b156815cc77c389fe08a4be82603514c8929a9827b8ba27f9cb9c0b57b067",namespace="kube-system",pod="kindnet-nj4p9",ulimit="max_open_files"} 1.048576e+06 1631113865193
|
||||
container_ulimits_soft{container="etcd",id="/docker/6b7c234cfe92a0924e54e2a51d9607a5893a38ed14c7161f324863eeaa2fb985/kubelet/kubepods/burstable/poda4a6a8d4c9c0100deb8dc3a1d3adfa32/0cd86529af0ca0e389ed657b2c0a20f03275cf6d9e0cd52fe4c1f90b96037de7",image="k8s.gcr.io/etcd:3.4.13-0",name="0cd86529af0ca0e389ed657b2c0a20f03275cf6d9e0cd52fe4c1f90b96037de7",namespace="kube-system",pod="etcd-kind-control-plane",ulimit="max_open_files"} 1.048576e+06 1631113855044
|
||||
container_ulimits_soft{container="etcd",id="/kubelet/kubepods/burstable/poda4a6a8d4c9c0100deb8dc3a1d3adfa32/0cd86529af0ca0e389ed657b2c0a20f03275cf6d9e0cd52fe4c1f90b96037de7",image="k8s.gcr.io/etcd:3.4.13-0",name="0cd86529af0ca0e389ed657b2c0a20f03275cf6d9e0cd52fe4c1f90b96037de7",namespace="kube-system",pod="etcd-kind-control-plane",ulimit="max_open_files"} 1.048576e+06 1631113867411
|
||||
container_ulimits_soft{container="kindnet-cni",id="/docker/6b7c234cfe92a0924e54e2a51d9607a5893a38ed14c7161f324863eeaa2fb985/kubelet/kubepods/poda922c399-764c-4614-8a2d-84bdd6765ffc/b38094619c14a9f921e2d10fb0f84433bea774aeb223ba19dade527e1c46de22",image="docker.io/kindest/kindnetd:v20210119-d5ef916d",name="b38094619c14a9f921e2d10fb0f84433bea774aeb223ba19dade527e1c46de22",namespace="kube-system",pod="kindnet-nj4p9",ulimit="max_open_files"} 1.048576e+06 1631113868404
|
||||
container_ulimits_soft{container="kindnet-cni",id="/kubelet/kubepods/poda922c399-764c-4614-8a2d-84bdd6765ffc/b38094619c14a9f921e2d10fb0f84433bea774aeb223ba19dade527e1c46de22",image="docker.io/kindest/kindnetd:v20210119-d5ef916d",name="b38094619c14a9f921e2d10fb0f84433bea774aeb223ba19dade527e1c46de22",namespace="kube-system",pod="kindnet-nj4p9",ulimit="max_open_files"} 1.048576e+06 1631113862176
|
||||
container_ulimits_soft{container="kube-apiserver",id="/docker/6b7c234cfe92a0924e54e2a51d9607a5893a38ed14c7161f324863eeaa2fb985/kubelet/kubepods/burstable/pod48ea6dbad93797db01928fb7884b8154/4026cf5500d96c6e274a2607b507891abc21f7b1577e29c9400cfb0f0ce5d8aa",image="k8s.gcr.io/kube-apiserver:v1.20.2",name="4026cf5500d96c6e274a2607b507891abc21f7b1577e29c9400cfb0f0ce5d8aa",namespace="kube-system",pod="kube-apiserver-kind-control-plane",ulimit="max_open_files"} 1.048576e+06 1631113865919
|
||||
container_ulimits_soft{container="kube-apiserver",id="/kubelet/kubepods/burstable/pod48ea6dbad93797db01928fb7884b8154/4026cf5500d96c6e274a2607b507891abc21f7b1577e29c9400cfb0f0ce5d8aa",image="k8s.gcr.io/kube-apiserver:v1.20.2",name="4026cf5500d96c6e274a2607b507891abc21f7b1577e29c9400cfb0f0ce5d8aa",namespace="kube-system",pod="kube-apiserver-kind-control-plane",ulimit="max_open_files"} 1.048576e+06 1631113863531
|
||||
container_ulimits_soft{container="kube-controller-manager",id="/docker/6b7c234cfe92a0924e54e2a51d9607a5893a38ed14c7161f324863eeaa2fb985/kubelet/kubepods/burstable/pod86744a0c8ef8da0d937493e4ed918cda/04b0948ab58f83013fed7611f0ffadb13ff7336561c91606644848f60405771b",image="k8s.gcr.io/kube-controller-manager:v1.20.2",name="04b0948ab58f83013fed7611f0ffadb13ff7336561c91606644848f60405771b",namespace="kube-system",pod="kube-controller-manager-kind-control-plane",ulimit="max_open_files"} 1.048576e+06 1631113868172
|
||||
container_ulimits_soft{container="kube-controller-manager",id="/kubelet/kubepods/burstable/pod86744a0c8ef8da0d937493e4ed918cda/04b0948ab58f83013fed7611f0ffadb13ff7336561c91606644848f60405771b",image="k8s.gcr.io/kube-controller-manager:v1.20.2",name="04b0948ab58f83013fed7611f0ffadb13ff7336561c91606644848f60405771b",namespace="kube-system",pod="kube-controller-manager-kind-control-plane",ulimit="max_open_files"} 1.048576e+06 1631113860485
|
||||
container_ulimits_soft{container="kube-scheduler",id="/docker/6b7c234cfe92a0924e54e2a51d9607a5893a38ed14c7161f324863eeaa2fb985/kubelet/kubepods/burstable/pod69cd289b4ed80ced4f95a59ff60fa102/d9627625c8d60d859f2a13f9ed66c77c9767368e18eb5669fe1a85d600e43f9b",image="k8s.gcr.io/kube-scheduler:v1.20.2",name="d9627625c8d60d859f2a13f9ed66c77c9767368e18eb5669fe1a85d600e43f9b",namespace="kube-system",pod="kube-scheduler-kind-control-plane",ulimit="max_open_files"} 1.048576e+06 1631113857794
|
||||
container_ulimits_soft{container="kube-scheduler",id="/kubelet/kubepods/burstable/pod69cd289b4ed80ced4f95a59ff60fa102/d9627625c8d60d859f2a13f9ed66c77c9767368e18eb5669fe1a85d600e43f9b",image="k8s.gcr.io/kube-scheduler:v1.20.2",name="d9627625c8d60d859f2a13f9ed66c77c9767368e18eb5669fe1a85d600e43f9b",namespace="kube-system",pod="kube-scheduler-kind-control-plane",ulimit="max_open_files"} 1.048576e+06 1631113868640
|
||||
`
|
||||
benchmarkAreIdenticalSeriesFast(b, s, s, true)
|
||||
})
|
||||
b.Run("different-series-with-timestamps", func(b *testing.B) {
|
||||
s := `
|
||||
container_ulimits_soft{container="",id="/kubelet/kubepods/burstable/pod48ea6dbad93797db01928fb7884b8154/49d928b5e3e3398730c9ce9de02171bb139b5bf2f485b153d9a293114a5762a3",image="sha256:0184c1613d92931126feb4c548e5da11015513b9e4c104e7305ee8b53b50a9da",name="49d928b5e3e3398730c9ce9de02171bb139b5bf2f485b153d9a293114a5762a3",namespace="kube-system",pod="kube-apiserver-kind-control-plane",ulimit="max_open_files"} 1.048576e+06 1631113856793
|
||||
container_ulimits_soft{container="",id="/kubelet/kubepods/burstable/pod69cd289b4ed80ced4f95a59ff60fa102/602a9be3cad5ca8aa57bdbb4a947ddd3b1b229b6e54c7acbb6906de061d51d05",image="sha256:0184c1613d92931126feb4c548e5da11015513b9e4c104e7305ee8b53b50a9da",name="602a9be3cad5ca8aa57bdbb4a947ddd3b1b229b6e54c7acbb6906de061d51d05",namespace="kube-system",pod="kube-scheduler-kind-control-plane",ulimit="max_open_files"} 1.048576e+06 1631113855488
|
||||
container_ulimits_soft{container="",id="/kubelet/kubepods/burstable/pod86744a0c8ef8da0d937493e4ed918cda/2f1a3706328f86337864f7c2c7100aabf9cabf03fef5518e883380977372d53f",image="sha256:0184c1613d92931126feb4c548e5da11015513b9e4c104e7305ee8b53b50a9da",name="2f1a3706328f86337864f7c2c7100aabf9cabf03fef5518e883380977372d53f",namespace="kube-system",pod="kube-controller-manager-kind-control-plane",ulimit="max_open_files"} 1.048576e+06 1631113858430
|
||||
container_ulimits_soft{container="",id="/kubelet/kubepods/burstable/poda4a6a8d4c9c0100deb8dc3a1d3adfa32/a84ce063fb5cab82bb938151e9fa1e98ad875c3cf5dad88d797d4c65c6229c13",image="sha256:0184c1613d92931126feb4c548e5da11015513b9e4c104e7305ee8b53b50a9da",name="a84ce063fb5cab82bb938151e9fa1e98ad875c3cf5dad88d797d4c65c6229c13",namespace="kube-system",pod="etcd-kind-control-plane",ulimit="max_open_files"} 1.048576e+06 1631113850216
|
||||
container_ulimits_soft{container="",id="/kubelet/kubepods/poda922c399-764c-4614-8a2d-84bdd6765ffc/ec6b156815cc77c389fe08a4be82603514c8929a9827b8ba27f9cb9c0b57b067",image="sha256:0184c1613d92931126feb4c548e5da11015513b9e4c104e7305ee8b53b50a9da",name="ec6b156815cc77c389fe08a4be82603514c8929a9827b8ba27f9cb9c0b57b067",namespace="kube-system",pod="kindnet-nj4p9",ulimit="max_open_files"} 1.048576e+06 1631113865193
|
||||
container_ulimits_soft{container="etcd",id="/docker/6b7c234cfe92a0924e54e2a51d9607a5893a38ed14c7161f324863eeaa2fb985/kubelet/kubepods/burstable/poda4a6a8d4c9c0100deb8dc3a1d3adfa32/0cd86529af0ca0e389ed657b2c0a20f03275cf6d9e0cd52fe4c1f90b96037de7",image="k8s.gcr.io/etcd:3.4.13-0",name="0cd86529af0ca0e389ed657b2c0a20f03275cf6d9e0cd52fe4c1f90b96037de7",namespace="kube-system",pod="etcd-kind-control-plane",ulimit="max_open_files"} 1.048576e+06 1631113855044
|
||||
container_ulimits_soft{container="etcd",id="/kubelet/kubepods/burstable/poda4a6a8d4c9c0100deb8dc3a1d3adfa32/0cd86529af0ca0e389ed657b2c0a20f03275cf6d9e0cd52fe4c1f90b96037de7",image="k8s.gcr.io/etcd:3.4.13-0",name="0cd86529af0ca0e389ed657b2c0a20f03275cf6d9e0cd52fe4c1f90b96037de7",namespace="kube-system",pod="etcd-kind-control-plane",ulimit="max_open_files"} 1.048576e+06 1631113867411
|
||||
container_ulimits_soft{container="kindnet-cni",id="/docker/6b7c234cfe92a0924e54e2a51d9607a5893a38ed14c7161f324863eeaa2fb985/kubelet/kubepods/poda922c399-764c-4614-8a2d-84bdd6765ffc/b38094619c14a9f921e2d10fb0f84433bea774aeb223ba19dade527e1c46de22",image="docker.io/kindest/kindnetd:v20210119-d5ef916d",name="b38094619c14a9f921e2d10fb0f84433bea774aeb223ba19dade527e1c46de22",namespace="kube-system",pod="kindnet-nj4p9",ulimit="max_open_files"} 1.048576e+06 1631113868404
|
||||
container_ulimits_soft{container="kindnet-cni",id="/kubelet/kubepods/poda922c399-764c-4614-8a2d-84bdd6765ffc/b38094619c14a9f921e2d10fb0f84433bea774aeb223ba19dade527e1c46de22",image="docker.io/kindest/kindnetd:v20210119-d5ef916d",name="b38094619c14a9f921e2d10fb0f84433bea774aeb223ba19dade527e1c46de22",namespace="kube-system",pod="kindnet-nj4p9",ulimit="max_open_files"} 1.048576e+06 1631113862176
|
||||
container_ulimits_soft{container="kube-apiserver",id="/docker/6b7c234cfe92a0924e54e2a51d9607a5893a38ed14c7161f324863eeaa2fb985/kubelet/kubepods/burstable/pod48ea6dbad93797db01928fb7884b8154/4026cf5500d96c6e274a2607b507891abc21f7b1577e29c9400cfb0f0ce5d8aa",image="k8s.gcr.io/kube-apiserver:v1.20.2",name="4026cf5500d96c6e274a2607b507891abc21f7b1577e29c9400cfb0f0ce5d8aa",namespace="kube-system",pod="kube-apiserver-kind-control-plane",ulimit="max_open_files"} 1.048576e+06 1631113865919
|
||||
container_ulimits_soft{container="kube-apiserver",id="/kubelet/kubepods/burstable/pod48ea6dbad93797db01928fb7884b8154/4026cf5500d96c6e274a2607b507891abc21f7b1577e29c9400cfb0f0ce5d8aa",image="k8s.gcr.io/kube-apiserver:v1.20.2",name="4026cf5500d96c6e274a2607b507891abc21f7b1577e29c9400cfb0f0ce5d8aa",namespace="kube-system",pod="kube-apiserver-kind-control-plane",ulimit="max_open_files"} 1.048576e+06 1631113863531
|
||||
container_ulimits_soft{container="kube-controller-manager",id="/docker/6b7c234cfe92a0924e54e2a51d9607a5893a38ed14c7161f324863eeaa2fb985/kubelet/kubepods/burstable/pod86744a0c8ef8da0d937493e4ed918cda/04b0948ab58f83013fed7611f0ffadb13ff7336561c91606644848f60405771b",image="k8s.gcr.io/kube-controller-manager:v1.20.2",name="04b0948ab58f83013fed7611f0ffadb13ff7336561c91606644848f60405771b",namespace="kube-system",pod="kube-controller-manager-kind-control-plane",ulimit="max_open_files"} 1.048576e+06 1631113868172
|
||||
container_ulimits_soft{container="kube-controller-manager",id="/kubelet/kubepods/burstable/pod86744a0c8ef8da0d937493e4ed918cda/04b0948ab58f83013fed7611f0ffadb13ff7336561c91606644848f60405771b",image="k8s.gcr.io/kube-controller-manager:v1.20.2",name="04b0948ab58f83013fed7611f0ffadb13ff7336561c91606644848f60405771b",namespace="kube-system",pod="kube-controller-manager-kind-control-plane",ulimit="max_open_files"} 1.048576e+06 1631113860485
|
||||
container_ulimits_soft{container="kube-scheduler",id="/docker/6b7c234cfe92a0924e54e2a51d9607a5893a38ed14c7161f324863eeaa2fb985/kubelet/kubepods/burstable/pod69cd289b4ed80ced4f95a59ff60fa102/d9627625c8d60d859f2a13f9ed66c77c9767368e18eb5669fe1a85d600e43f9b",image="k8s.gcr.io/kube-scheduler:v1.20.2",name="d9627625c8d60d859f2a13f9ed66c77c9767368e18eb5669fe1a85d600e43f9b",namespace="kube-system",pod="kube-scheduler-kind-control-plane",ulimit="max_open_files"} 1.048576e+06 1631113857794
|
||||
container_ulimits_soft{container="kube-scheduler",id="/kubelet/kubepods/burstable/pod69cd289b4ed80ced4f95a59ff60fa102/d9627625c8d60d859f2a13f9ed66c77c9767368e18eb5669fe1a85d600e43f9b",image="k8s.gcr.io/kube-scheduler:v1.20.2",name="d9627625c8d60d859f2a13f9ed66c77c9767368e18eb5669fe1a85d600e43f9b",namespace="kube-system",pod="kube-scheduler-kind-control-plane",ulimit="max_open_files"} 1.048576e+06 1631113868640
|
||||
`
|
||||
benchmarkAreIdenticalSeriesFast(b, s, s+"\nfoo 1", false)
|
||||
})
|
||||
}
|
||||
|
||||
func benchmarkAreIdenticalSeriesFast(b *testing.B, s1, s2 string, expectedResult bool) {
|
||||
b.SetBytes(int64(len(s1)))
|
||||
b.ReportAllocs()
|
||||
b.RunParallel(func(pb *testing.PB) {
|
||||
for pb.Next() {
|
||||
result := AreIdenticalSeriesFast(s1, s2)
|
||||
if result != expectedResult {
|
||||
panic(fmt.Errorf("unexpected result; got %v; want %v", result, expectedResult))
|
||||
}
|
||||
}
|
||||
})
|
||||
}
|
||||
|
||||
func BenchmarkRowsUnmarshal(b *testing.B) {
|
||||
s := `cpu_usage{mode="user"} 1.23
|
||||
cpu_usage{mode="system"} 23.344
|
||||
|
||||
Loading…
Reference in New Issue
Block a user