mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
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5a88bc973f
This allows exposing the correct TYPE metadata for these labels when the app runs with -metrics.exposeMetadata command-line flag.
See https://github.com/VictoriaMetrics/metrics/pull/61#issuecomment-1860085508 for more details.
This is follow-up for 326a77c697
214 lines
6.9 KiB
Go
214 lines
6.9 KiB
Go
package common
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import (
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"flag"
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"fmt"
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"sync"
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"sync/atomic"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vmstorage"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/fasttime"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/procutil"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/prompbmarshal"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/promrelabel"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/storage"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/streamaggr"
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"github.com/VictoriaMetrics/metrics"
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)
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var (
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streamAggrConfig = flag.String("streamAggr.config", "", "Optional path to file with stream aggregation config. "+
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"See https://docs.victoriametrics.com/stream-aggregation.html . "+
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"See also -streamAggr.keepInput, -streamAggr.dropInput and -streamAggr.dedupInterval")
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streamAggrKeepInput = flag.Bool("streamAggr.keepInput", false, "Whether to keep all the input samples after the aggregation with -streamAggr.config. "+
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"By default, only aggregated samples are dropped, while the remaining samples are stored in the database. "+
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"See also -streamAggr.dropInput and https://docs.victoriametrics.com/stream-aggregation.html")
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streamAggrDropInput = flag.Bool("streamAggr.dropInput", false, "Whether to drop all the input samples after the aggregation with -streamAggr.config. "+
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"By default, only aggregated samples are dropped, while the remaining samples are stored in the database. "+
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"See also -streamAggr.keepInput and https://docs.victoriametrics.com/stream-aggregation.html")
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streamAggrDedupInterval = flag.Duration("streamAggr.dedupInterval", 0, "Input samples are de-duplicated with this interval before being aggregated. "+
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"Only the last sample per each time series per each interval is aggregated if the interval is greater than zero")
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)
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var (
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saCfgReloaderStopCh chan struct{}
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saCfgReloaderWG sync.WaitGroup
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saCfgReloads = metrics.NewCounter(`vminsert_streamagg_config_reloads_total`)
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saCfgReloadErr = metrics.NewCounter(`vminsert_streamagg_config_reloads_errors_total`)
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saCfgSuccess = metrics.NewGauge(`vminsert_streamagg_config_last_reload_successful`, nil)
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saCfgTimestamp = metrics.NewCounter(`vminsert_streamagg_config_last_reload_success_timestamp_seconds`)
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sasGlobal atomic.Pointer[streamaggr.Aggregators]
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)
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// CheckStreamAggrConfig checks config pointed by -stramaggr.config
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func CheckStreamAggrConfig() error {
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if *streamAggrConfig == "" {
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return nil
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}
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pushNoop := func(tss []prompbmarshal.TimeSeries) {}
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sas, err := streamaggr.LoadFromFile(*streamAggrConfig, pushNoop, *streamAggrDedupInterval)
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if err != nil {
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return fmt.Errorf("error when loading -streamAggr.config=%q: %w", *streamAggrConfig, err)
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}
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sas.MustStop()
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return nil
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}
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// InitStreamAggr must be called after flag.Parse and before using the common package.
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//
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// MustStopStreamAggr must be called when stream aggr is no longer needed.
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func InitStreamAggr() {
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saCfgReloaderStopCh = make(chan struct{})
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if *streamAggrConfig == "" {
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return
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}
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sighupCh := procutil.NewSighupChan()
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sas, err := streamaggr.LoadFromFile(*streamAggrConfig, pushAggregateSeries, *streamAggrDedupInterval)
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if err != nil {
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logger.Fatalf("cannot load -streamAggr.config=%q: %s", *streamAggrConfig, err)
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}
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sasGlobal.Store(sas)
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saCfgSuccess.Set(1)
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saCfgTimestamp.Set(fasttime.UnixTimestamp())
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// Start config reloader.
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saCfgReloaderWG.Add(1)
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go func() {
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defer saCfgReloaderWG.Done()
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for {
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select {
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case <-sighupCh:
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case <-saCfgReloaderStopCh:
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return
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}
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reloadStreamAggrConfig()
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}
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}()
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}
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func reloadStreamAggrConfig() {
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logger.Infof("reloading -streamAggr.config=%q", *streamAggrConfig)
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saCfgReloads.Inc()
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sasNew, err := streamaggr.LoadFromFile(*streamAggrConfig, pushAggregateSeries, *streamAggrDedupInterval)
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if err != nil {
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saCfgSuccess.Set(0)
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saCfgReloadErr.Inc()
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logger.Errorf("cannot reload -streamAggr.config=%q: use the previously loaded config; error: %s", *streamAggrConfig, err)
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return
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}
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sas := sasGlobal.Load()
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if !sasNew.Equal(sas) {
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sasOld := sasGlobal.Swap(sasNew)
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sasOld.MustStop()
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logger.Infof("successfully reloaded stream aggregation config at -streamAggr.config=%q", *streamAggrConfig)
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} else {
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logger.Infof("nothing changed in -streamAggr.config=%q", *streamAggrConfig)
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sasNew.MustStop()
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}
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saCfgSuccess.Set(1)
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saCfgTimestamp.Set(fasttime.UnixTimestamp())
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}
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// MustStopStreamAggr stops stream aggregators.
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func MustStopStreamAggr() {
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close(saCfgReloaderStopCh)
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saCfgReloaderWG.Wait()
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sas := sasGlobal.Swap(nil)
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sas.MustStop()
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}
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type streamAggrCtx struct {
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mn storage.MetricName
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tss [1]prompbmarshal.TimeSeries
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}
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func (ctx *streamAggrCtx) Reset() {
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ctx.mn.Reset()
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ts := &ctx.tss[0]
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promrelabel.CleanLabels(ts.Labels)
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}
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func (ctx *streamAggrCtx) push(mrs []storage.MetricRow, matchIdxs []byte) []byte {
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matchIdxs = bytesutil.ResizeNoCopyMayOverallocate(matchIdxs, len(mrs))
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for i := 0; i < len(matchIdxs); i++ {
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matchIdxs[i] = 0
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}
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mn := &ctx.mn
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tss := ctx.tss[:]
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ts := &tss[0]
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labels := ts.Labels
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samples := ts.Samples
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sas := sasGlobal.Load()
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var matchIdxsLocal []byte
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for idx, mr := range mrs {
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if err := mn.UnmarshalRaw(mr.MetricNameRaw); err != nil {
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logger.Panicf("BUG: cannot unmarshal recently marshaled MetricName: %s", err)
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}
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labels = append(labels[:0], prompbmarshal.Label{
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Name: "__name__",
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Value: bytesutil.ToUnsafeString(mn.MetricGroup),
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})
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for _, tag := range mn.Tags {
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labels = append(labels, prompbmarshal.Label{
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Name: bytesutil.ToUnsafeString(tag.Key),
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Value: bytesutil.ToUnsafeString(tag.Value),
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})
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}
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samples = append(samples[:0], prompbmarshal.Sample{
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Timestamp: mr.Timestamp,
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Value: mr.Value,
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})
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ts.Labels = labels
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ts.Samples = samples
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matchIdxsLocal = sas.Push(tss, matchIdxsLocal)
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if matchIdxsLocal[0] != 0 {
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matchIdxs[idx] = 1
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}
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}
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return matchIdxs
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}
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func pushAggregateSeries(tss []prompbmarshal.TimeSeries) {
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currentTimestamp := int64(fasttime.UnixTimestamp()) * 1000
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var ctx InsertCtx
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ctx.Reset(len(tss))
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ctx.skipStreamAggr = true
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for _, ts := range tss {
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labels := ts.Labels
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ctx.Labels = ctx.Labels[:0]
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for _, label := range labels {
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name := label.Name
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if name == "__name__" {
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name = ""
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}
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ctx.AddLabel(name, label.Value)
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}
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value := ts.Samples[0].Value
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if err := ctx.WriteDataPoint(nil, ctx.Labels, currentTimestamp, value); err != nil {
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logger.Errorf("cannot store aggregate series: %s", err)
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// Do not continue pushing the remaining samples, since it is likely they will return the same error.
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return
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}
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}
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// There is no need in limiting the number of concurrent calls to vmstorage.AddRows() here,
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// since the number of concurrent pushAggregateSeries() calls should be already limited by lib/streamaggr.
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if err := vmstorage.AddRows(ctx.mrs); err != nil {
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logger.Errorf("cannot flush aggregate series: %s", err)
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}
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}
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