mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
synced 2024-12-22 08:26:19 +01:00
316 lines
9.2 KiB
Go
316 lines
9.2 KiB
Go
package remotewrite
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import (
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"flag"
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"sync"
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"sync/atomic"
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"time"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/cgroup"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/decimal"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/encoding/zstd"
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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/persistentqueue"
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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/timeutil"
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"github.com/VictoriaMetrics/metrics"
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"github.com/golang/snappy"
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)
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var (
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flushInterval = flag.Duration("remoteWrite.flushInterval", time.Second, "Interval for flushing the data to remote storage. "+
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"This option takes effect only when less than 10K data points per second are pushed to -remoteWrite.url")
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maxUnpackedBlockSize = flagutil.NewBytes("remoteWrite.maxBlockSize", 8*1024*1024, "The maximum block size to send to remote storage. Bigger blocks may improve performance at the cost of the increased memory usage. See also -remoteWrite.maxRowsPerBlock")
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maxRowsPerBlock = flag.Int("remoteWrite.maxRowsPerBlock", 10000, "The maximum number of samples to send in each block to remote storage. Higher number may improve performance at the cost of the increased memory usage. See also -remoteWrite.maxBlockSize")
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vmProtoCompressLevel = flag.Int("remoteWrite.vmProtoCompressLevel", 0, "The compression level for VictoriaMetrics remote write protocol. "+
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"Higher values reduce network traffic at the cost of higher CPU usage. Negative values reduce CPU usage at the cost of increased network traffic. "+
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"See https://docs.victoriametrics.com/vmagent.html#victoriametrics-remote-write-protocol")
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)
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type pendingSeries struct {
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mu sync.Mutex
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wr writeRequest
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stopCh chan struct{}
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periodicFlusherWG sync.WaitGroup
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}
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func newPendingSeries(fq *persistentqueue.FastQueue, isVMRemoteWrite bool, significantFigures, roundDigits int) *pendingSeries {
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var ps pendingSeries
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ps.wr.fq = fq
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ps.wr.isVMRemoteWrite = isVMRemoteWrite
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ps.wr.significantFigures = significantFigures
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ps.wr.roundDigits = roundDigits
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ps.stopCh = make(chan struct{})
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ps.periodicFlusherWG.Add(1)
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go func() {
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defer ps.periodicFlusherWG.Done()
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ps.periodicFlusher()
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}()
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return &ps
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}
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func (ps *pendingSeries) MustStop() {
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close(ps.stopCh)
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ps.periodicFlusherWG.Wait()
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}
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func (ps *pendingSeries) TryPush(tss []prompbmarshal.TimeSeries) bool {
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ps.mu.Lock()
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ok := ps.wr.tryPush(tss)
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ps.mu.Unlock()
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return ok
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}
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func (ps *pendingSeries) periodicFlusher() {
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flushSeconds := int64(flushInterval.Seconds())
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if flushSeconds <= 0 {
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flushSeconds = 1
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}
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d := timeutil.AddJitterToDuration(*flushInterval)
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ticker := time.NewTicker(d)
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defer ticker.Stop()
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for {
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select {
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case <-ps.stopCh:
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ps.mu.Lock()
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ps.wr.mustFlushOnStop()
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ps.mu.Unlock()
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return
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case <-ticker.C:
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if fasttime.UnixTimestamp()-ps.wr.lastFlushTime.Load() < uint64(flushSeconds) {
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continue
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}
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}
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ps.mu.Lock()
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_ = ps.wr.tryFlush()
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ps.mu.Unlock()
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}
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}
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type writeRequest struct {
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lastFlushTime atomic.Uint64
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// The queue to send blocks to.
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fq *persistentqueue.FastQueue
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// Whether to encode the write request with VictoriaMetrics remote write protocol.
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isVMRemoteWrite bool
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// How many significant figures must be left before sending the writeRequest to fq.
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significantFigures int
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// How many decimal digits after point must be left before sending the writeRequest to fq.
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roundDigits int
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wr prompbmarshal.WriteRequest
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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 holds labels data
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buf []byte
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}
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func (wr *writeRequest) reset() {
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// Do not reset lastFlushTime, fq, isVMRemoteWrite, significantFigures and roundDigits, since they are re-used.
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wr.wr.Timeseries = nil
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for i := range wr.tss {
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ts := &wr.tss[i]
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ts.Labels = nil
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ts.Samples = nil
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}
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wr.tss = wr.tss[:0]
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promrelabel.CleanLabels(wr.labels)
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wr.labels = wr.labels[:0]
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wr.samples = wr.samples[:0]
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wr.buf = wr.buf[:0]
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}
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// mustFlushOnStop force pushes wr data into wr.fq
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//
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// This is needed in order to properly save in-memory data to persistent queue on graceful shutdown.
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func (wr *writeRequest) mustFlushOnStop() {
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wr.wr.Timeseries = wr.tss
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if !tryPushWriteRequest(&wr.wr, wr.mustWriteBlock, wr.isVMRemoteWrite) {
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logger.Panicf("BUG: final flush must always return true")
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}
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wr.reset()
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}
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func (wr *writeRequest) mustWriteBlock(block []byte) bool {
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wr.fq.MustWriteBlockIgnoreDisabledPQ(block)
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return true
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}
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func (wr *writeRequest) tryFlush() bool {
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wr.wr.Timeseries = wr.tss
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wr.lastFlushTime.Store(fasttime.UnixTimestamp())
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if !tryPushWriteRequest(&wr.wr, wr.fq.TryWriteBlock, wr.isVMRemoteWrite) {
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return false
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}
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wr.reset()
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return true
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}
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func adjustSampleValues(samples []prompbmarshal.Sample, significantFigures, roundDigits int) {
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if n := significantFigures; n > 0 {
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for i := range samples {
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s := &samples[i]
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s.Value = decimal.RoundToSignificantFigures(s.Value, n)
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}
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}
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if n := roundDigits; n < 100 {
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for i := range samples {
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s := &samples[i]
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s.Value = decimal.RoundToDecimalDigits(s.Value, n)
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}
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}
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}
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func (wr *writeRequest) tryPush(src []prompbmarshal.TimeSeries) bool {
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tssDst := wr.tss
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maxSamplesPerBlock := *maxRowsPerBlock
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// Allow up to 10x of labels per each block on average.
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maxLabelsPerBlock := 10 * maxSamplesPerBlock
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for i := range src {
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if len(wr.samples) >= maxSamplesPerBlock || len(wr.labels) >= maxLabelsPerBlock {
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wr.tss = tssDst
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if !wr.tryFlush() {
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return false
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}
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tssDst = wr.tss
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}
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tsSrc := &src[i]
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adjustSampleValues(tsSrc.Samples, wr.significantFigures, wr.roundDigits)
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tssDst = append(tssDst, prompbmarshal.TimeSeries{})
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wr.copyTimeSeries(&tssDst[len(tssDst)-1], tsSrc)
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}
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wr.tss = tssDst
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return true
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}
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func (wr *writeRequest) copyTimeSeries(dst, src *prompbmarshal.TimeSeries) {
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labelsDst := wr.labels
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labelsLen := len(wr.labels)
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samplesDst := wr.samples
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buf := wr.buf
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for i := range src.Labels {
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labelsDst = append(labelsDst, prompbmarshal.Label{})
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dstLabel := &labelsDst[len(labelsDst)-1]
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srcLabel := &src.Labels[i]
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buf = append(buf, srcLabel.Name...)
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dstLabel.Name = bytesutil.ToUnsafeString(buf[len(buf)-len(srcLabel.Name):])
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buf = append(buf, srcLabel.Value...)
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dstLabel.Value = bytesutil.ToUnsafeString(buf[len(buf)-len(srcLabel.Value):])
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}
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dst.Labels = labelsDst[labelsLen:]
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samplesDst = append(samplesDst, src.Samples...)
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dst.Samples = samplesDst[len(samplesDst)-len(src.Samples):]
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wr.samples = samplesDst
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wr.labels = labelsDst
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wr.buf = buf
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}
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// marshalConcurrency limits the maximum number of concurrent workers, which marshal and compress WriteRequest.
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var marshalConcurrencyCh = make(chan struct{}, cgroup.AvailableCPUs())
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func tryPushWriteRequest(wr *prompbmarshal.WriteRequest, tryPushBlock func(block []byte) bool, isVMRemoteWrite bool) bool {
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if len(wr.Timeseries) == 0 {
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// Nothing to push
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return true
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}
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marshalConcurrencyCh <- struct{}{}
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bb := writeRequestBufPool.Get()
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bb.B = wr.MarshalProtobuf(bb.B[:0])
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if len(bb.B) <= maxUnpackedBlockSize.IntN() {
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zb := compressBufPool.Get()
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if isVMRemoteWrite {
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zb.B = zstd.CompressLevel(zb.B[:0], bb.B, *vmProtoCompressLevel)
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} else {
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zb.B = snappy.Encode(zb.B[:cap(zb.B)], bb.B)
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}
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writeRequestBufPool.Put(bb)
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<-marshalConcurrencyCh
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if len(zb.B) <= persistentqueue.MaxBlockSize {
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zbLen := len(zb.B)
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ok := tryPushBlock(zb.B)
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compressBufPool.Put(zb)
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if ok {
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blockSizeRows.Update(float64(len(wr.Timeseries)))
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blockSizeBytes.Update(float64(zbLen))
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}
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return ok
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}
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compressBufPool.Put(zb)
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} else {
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writeRequestBufPool.Put(bb)
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<-marshalConcurrencyCh
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}
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// Too big block. Recursively split it into smaller parts if possible.
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if len(wr.Timeseries) == 1 {
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// A single time series left. Recursively split its samples into smaller parts if possible.
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samples := wr.Timeseries[0].Samples
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if len(samples) == 1 {
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logger.Warnf("dropping a sample for metric with too long labels exceeding -remoteWrite.maxBlockSize=%d bytes", maxUnpackedBlockSize.N)
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return true
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}
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n := len(samples) / 2
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wr.Timeseries[0].Samples = samples[:n]
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if !tryPushWriteRequest(wr, tryPushBlock, isVMRemoteWrite) {
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wr.Timeseries[0].Samples = samples
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return false
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}
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wr.Timeseries[0].Samples = samples[n:]
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if !tryPushWriteRequest(wr, tryPushBlock, isVMRemoteWrite) {
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wr.Timeseries[0].Samples = samples
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return false
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}
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wr.Timeseries[0].Samples = samples
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return true
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}
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timeseries := wr.Timeseries
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n := len(timeseries) / 2
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wr.Timeseries = timeseries[:n]
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if !tryPushWriteRequest(wr, tryPushBlock, isVMRemoteWrite) {
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wr.Timeseries = timeseries
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return false
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}
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wr.Timeseries = timeseries[n:]
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if !tryPushWriteRequest(wr, tryPushBlock, isVMRemoteWrite) {
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wr.Timeseries = timeseries
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return false
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}
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wr.Timeseries = timeseries
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return true
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}
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var (
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blockSizeBytes = metrics.NewHistogram(`vmagent_remotewrite_block_size_bytes`)
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blockSizeRows = metrics.NewHistogram(`vmagent_remotewrite_block_size_rows`)
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)
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var (
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writeRequestBufPool bytesutil.ByteBufferPool
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compressBufPool bytesutil.ByteBufferPool
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)
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