mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
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b2765c45d0
* adds datadog extensions for statsd: - multiple packed values (v1.1) - additional types distribution, histogram * adds type check and append metric type to the labels with special tag name `__statsd_metric_type__`. It simplifies streaming aggregation config. --------- Signed-off-by: hagen1778 <roman@victoriametrics.com> Co-authored-by: hagen1778 <roman@victoriametrics.com>
287 lines
9.5 KiB
Go
287 lines
9.5 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/flagutil"
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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/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/ . "+
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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/")
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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/")
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streamAggrDedupInterval = flag.Duration("streamAggr.dedupInterval", 0, "Input samples are de-duplicated with this interval before optional aggregation with -streamAggr.config . "+
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"See also -streamAggr.dropInputLabels and -dedup.minScrapeInterval and https://docs.victoriametrics.com/stream-aggregation/#deduplication")
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streamAggrDropInputLabels = flagutil.NewArrayString("streamAggr.dropInputLabels", "An optional list of labels to drop from samples "+
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"before stream de-duplication and aggregation . See https://docs.victoriametrics.com/stream-aggregation/#dropping-unneeded-labels")
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streamAggrIgnoreFirstIntervals = flag.Int("streamAggr.ignoreFirstIntervals", 0, "Number of aggregation intervals to skip after the start. Increase this value if you observe incorrect aggregation results after restarts. It could be caused by receiving unordered delayed data from clients pushing data into the database. "+
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"See https://docs.victoriametrics.com/stream-aggregation/#ignore-aggregation-intervals-on-start")
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streamAggrIgnoreOldSamples = flag.Bool("streamAggr.ignoreOldSamples", false, "Whether to ignore input samples with old timestamps outside the current aggregation interval. "+
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"See https://docs.victoriametrics.com/stream-aggregation/#ignoring-old-samples")
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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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deduplicator *streamaggr.Deduplicator
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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(_ []prompbmarshal.TimeSeries) {}
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opts := &streamaggr.Options{
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DedupInterval: *streamAggrDedupInterval,
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DropInputLabels: *streamAggrDropInputLabels,
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IgnoreOldSamples: *streamAggrIgnoreOldSamples,
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IgnoreFirstIntervals: *streamAggrIgnoreFirstIntervals,
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}
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sas, err := streamaggr.LoadFromFile(*streamAggrConfig, pushNoop, opts)
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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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// HasStreamAggrConfigured checks if streamAggr config provided
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func HasStreamAggrConfigured() bool {
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return *streamAggrConfig != ""
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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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if *streamAggrDedupInterval > 0 {
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deduplicator = streamaggr.NewDeduplicator(pushAggregateSeries, *streamAggrDedupInterval, *streamAggrDropInputLabels)
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}
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return
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}
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sighupCh := procutil.NewSighupChan()
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opts := &streamaggr.Options{
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DedupInterval: *streamAggrDedupInterval,
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DropInputLabels: *streamAggrDropInputLabels,
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IgnoreOldSamples: *streamAggrIgnoreOldSamples,
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IgnoreFirstIntervals: *streamAggrIgnoreFirstIntervals,
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}
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sas, err := streamaggr.LoadFromFile(*streamAggrConfig, pushAggregateSeries, opts)
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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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opts := &streamaggr.Options{
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DedupInterval: *streamAggrDedupInterval,
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DropInputLabels: *streamAggrDropInputLabels,
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IgnoreOldSamples: *streamAggrIgnoreOldSamples,
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IgnoreFirstIntervals: *streamAggrIgnoreFirstIntervals,
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}
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sasNew, err := streamaggr.LoadFromFile(*streamAggrConfig, pushAggregateSeries, opts)
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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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if deduplicator != nil {
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deduplicator.MustStop()
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deduplicator = nil
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}
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}
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type streamAggrCtx struct {
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mn storage.MetricName
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tss []prompbmarshal.TimeSeries
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labels []prompbmarshal.Label
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samples []prompbmarshal.Sample
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buf []byte
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}
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func (ctx *streamAggrCtx) Reset() {
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ctx.mn.Reset()
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clear(ctx.tss)
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ctx.tss = ctx.tss[:0]
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clear(ctx.labels)
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ctx.labels = ctx.labels[:0]
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ctx.samples = ctx.samples[:0]
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ctx.buf = ctx.buf[:0]
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}
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func (ctx *streamAggrCtx) push(mrs []storage.MetricRow, matchIdxs []byte) []byte {
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mn := &ctx.mn
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tss := ctx.tss
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labels := ctx.labels
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samples := ctx.samples
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buf := ctx.buf
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tssLen := len(tss)
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for _, 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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labelsLen := len(labels)
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bufLen := len(buf)
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buf = append(buf, mn.MetricGroup...)
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metricGroup := bytesutil.ToUnsafeString(buf[bufLen:])
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labels = append(labels, prompbmarshal.Label{
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Name: "__name__",
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Value: metricGroup,
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})
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for _, tag := range mn.Tags {
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bufLen = len(buf)
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buf = append(buf, tag.Key...)
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name := bytesutil.ToUnsafeString(buf[bufLen:])
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bufLen = len(buf)
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buf = append(buf, tag.Value...)
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value := bytesutil.ToUnsafeString(buf[bufLen:])
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labels = append(labels, prompbmarshal.Label{
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Name: name,
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Value: value,
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})
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}
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samplesLen := len(samples)
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samples = append(samples, prompbmarshal.Sample{
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Timestamp: mr.Timestamp,
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Value: mr.Value,
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})
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tss = append(tss, prompbmarshal.TimeSeries{
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Labels: labels[labelsLen:],
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Samples: samples[samplesLen:],
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})
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}
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ctx.tss = tss
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ctx.labels = labels
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ctx.samples = samples
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ctx.buf = buf
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tss = tss[tssLen:]
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sas := sasGlobal.Load()
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if sas != nil {
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matchIdxs = sas.Push(tss, matchIdxs)
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} else if deduplicator != nil {
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matchIdxs = bytesutil.ResizeNoCopyMayOverallocate(matchIdxs, len(tss))
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for i := range matchIdxs {
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matchIdxs[i] = 1
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}
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deduplicator.Push(tss)
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}
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ctx.Reset()
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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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