VictoriaMetrics/app/vmagent/remotewrite/pendingseries.go
Aliaksandr Valialkin dc9eafcd02 app/{vminsert,vmagent}: add -sortLabels command-line option for sorting time series labels before ingesting them in the storage
This option can be useful when samples for the same time series are ingested with distinct order of labels.
For example, metric{k1="v1",k2="v2"} and metric{k2="v2",k1="v1"}.
2021-03-31 23:27:58 +03:00

233 lines
6.2 KiB
Go

package remotewrite
import (
"flag"
"sync"
"sync/atomic"
"time"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/decimal"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/fasttime"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/flagutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/persistentqueue"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/prompbmarshal"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/promrelabel"
"github.com/VictoriaMetrics/metrics"
"github.com/golang/snappy"
)
var (
flushInterval = flag.Duration("remoteWrite.flushInterval", time.Second, "Interval for flushing the data to remote storage. "+
"This option takes effect only when less than 10K data points per second are pushed to -remoteWrite.url")
maxUnpackedBlockSize = flagutil.NewBytes("remoteWrite.maxBlockSize", 8*1024*1024, "The maximum size in bytes of unpacked request to send to remote storage. "+
"It shouldn't exceed -maxInsertRequestSize from VictoriaMetrics")
)
// the maximum number of rows to send per each block.
const maxRowsPerBlock = 10000
// the maximum number of labels to send per each block.
const maxLabelsPerBlock = 40000
type pendingSeries struct {
mu sync.Mutex
wr writeRequest
stopCh chan struct{}
periodicFlusherWG sync.WaitGroup
}
func newPendingSeries(pushBlock func(block []byte), significantFigures, roundDigits int) *pendingSeries {
var ps pendingSeries
ps.wr.pushBlock = pushBlock
ps.wr.significantFigures = significantFigures
ps.wr.roundDigits = roundDigits
ps.stopCh = make(chan struct{})
ps.periodicFlusherWG.Add(1)
go func() {
defer ps.periodicFlusherWG.Done()
ps.periodicFlusher()
}()
return &ps
}
func (ps *pendingSeries) MustStop() {
close(ps.stopCh)
ps.periodicFlusherWG.Wait()
}
func (ps *pendingSeries) Push(tss []prompbmarshal.TimeSeries) {
ps.mu.Lock()
ps.wr.push(tss)
ps.mu.Unlock()
}
func (ps *pendingSeries) periodicFlusher() {
flushSeconds := int64(flushInterval.Seconds())
if flushSeconds <= 0 {
flushSeconds = 1
}
ticker := time.NewTicker(*flushInterval)
defer ticker.Stop()
mustStop := false
for !mustStop {
select {
case <-ps.stopCh:
mustStop = true
case <-ticker.C:
if fasttime.UnixTimestamp()-atomic.LoadUint64(&ps.wr.lastFlushTime) < uint64(flushSeconds) {
continue
}
}
ps.mu.Lock()
ps.wr.flush()
ps.mu.Unlock()
}
}
type writeRequest struct {
// Move lastFlushTime to the top of the struct in order to guarantee atomic access on 32-bit architectures.
lastFlushTime uint64
// pushBlock is called when whe write request is ready to be sent.
pushBlock func(block []byte)
// How many significant figures must be left before sending the writeRequest to pushBlock.
significantFigures int
// How many decimal digits after point must be left before sending the writeRequest to pushBlock.
roundDigits int
wr prompbmarshal.WriteRequest
tss []prompbmarshal.TimeSeries
labels []prompbmarshal.Label
samples []prompbmarshal.Sample
buf []byte
}
func (wr *writeRequest) reset() {
// Do not reset pushBlock, significantFigures and roundDigits, since they are re-used.
wr.wr.Timeseries = nil
for i := range wr.tss {
ts := &wr.tss[i]
ts.Labels = nil
ts.Samples = nil
}
wr.tss = wr.tss[:0]
promrelabel.CleanLabels(wr.labels)
wr.labels = wr.labels[:0]
wr.samples = wr.samples[:0]
wr.buf = wr.buf[:0]
}
func (wr *writeRequest) flush() {
sortLabelsIfNeeded(wr.tss)
wr.wr.Timeseries = wr.tss
wr.adjustSampleValues()
atomic.StoreUint64(&wr.lastFlushTime, fasttime.UnixTimestamp())
pushWriteRequest(&wr.wr, wr.pushBlock)
wr.reset()
}
func (wr *writeRequest) adjustSampleValues() {
samples := wr.samples
if n := wr.significantFigures; n > 0 {
for i := range samples {
s := &samples[i]
s.Value = decimal.RoundToSignificantFigures(s.Value, n)
}
}
if n := wr.roundDigits; n < 100 {
for i := range samples {
s := &samples[i]
s.Value = decimal.RoundToDecimalDigits(s.Value, n)
}
}
}
func (wr *writeRequest) push(src []prompbmarshal.TimeSeries) {
tssDst := wr.tss
for i := range src {
tssDst = append(tssDst, prompbmarshal.TimeSeries{})
wr.copyTimeSeries(&tssDst[len(tssDst)-1], &src[i])
if len(wr.samples) >= maxRowsPerBlock || len(wr.labels) >= maxLabelsPerBlock {
wr.tss = tssDst
wr.flush()
tssDst = wr.tss
}
}
wr.tss = tssDst
}
func (wr *writeRequest) copyTimeSeries(dst, src *prompbmarshal.TimeSeries) {
labelsDst := wr.labels
labelsLen := len(wr.labels)
samplesDst := wr.samples
buf := wr.buf
for i := range src.Labels {
labelsDst = append(labelsDst, prompbmarshal.Label{})
dstLabel := &labelsDst[len(labelsDst)-1]
srcLabel := &src.Labels[i]
buf = append(buf, srcLabel.Name...)
dstLabel.Name = bytesutil.ToUnsafeString(buf[len(buf)-len(srcLabel.Name):])
buf = append(buf, srcLabel.Value...)
dstLabel.Value = bytesutil.ToUnsafeString(buf[len(buf)-len(srcLabel.Value):])
}
dst.Labels = labelsDst[labelsLen:]
samplesDst = append(samplesDst, src.Samples...)
dst.Samples = samplesDst[len(samplesDst)-len(src.Samples):]
wr.samples = samplesDst
wr.labels = labelsDst
wr.buf = buf
}
func pushWriteRequest(wr *prompbmarshal.WriteRequest, pushBlock func(block []byte)) {
if len(wr.Timeseries) == 0 {
// Nothing to push
return
}
bb := writeRequestBufPool.Get()
bb.B = prompbmarshal.MarshalWriteRequest(bb.B[:0], wr)
if len(bb.B) <= maxUnpackedBlockSize.N {
zb := snappyBufPool.Get()
zb.B = snappy.Encode(zb.B[:cap(zb.B)], bb.B)
writeRequestBufPool.Put(bb)
if len(zb.B) <= persistentqueue.MaxBlockSize {
pushBlock(zb.B)
blockSizeRows.Update(float64(len(wr.Timeseries)))
blockSizeBytes.Update(float64(len(zb.B)))
snappyBufPool.Put(zb)
return
}
snappyBufPool.Put(zb)
} else {
writeRequestBufPool.Put(bb)
}
// Too big block. Recursively split it into smaller parts.
timeseries := wr.Timeseries
n := len(timeseries) / 2
wr.Timeseries = timeseries[:n]
pushWriteRequest(wr, pushBlock)
wr.Timeseries = timeseries[n:]
pushWriteRequest(wr, pushBlock)
wr.Timeseries = timeseries
}
var (
blockSizeBytes = metrics.NewHistogram(`vmagent_remotewrite_block_size_bytes`)
blockSizeRows = metrics.NewHistogram(`vmagent_remotewrite_block_size_rows`)
)
var writeRequestBufPool bytesutil.ByteBufferPool
var snappyBufPool bytesutil.ByteBufferPool