Files

424 lines
12 KiB
Go

package remotewrite
import (
"flag"
"sync"
"sync/atomic"
"time"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/cgroup"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/decimal"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/encoding/zstd"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/fasttime"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/flagutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/persistentqueue"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/prompb"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/promrelabel"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/slicesutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/timeutil"
"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 -remoteWrite.maxRowsPerBlock data points per -remoteWrite.flushInterval are pushed to -remoteWrite.url")
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")
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")
maxMetadataPerBlock = flag.Int("remoteWrite.maxMetadataPerBlock", 5000, "The maximum number of metadata 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")
vmProtoCompressLevel = flag.Int("remoteWrite.vmProtoCompressLevel", 0, "The compression level for VictoriaMetrics remote write protocol. "+
"Higher values reduce network traffic at the cost of higher CPU usage. Negative values reduce CPU usage at the cost of increased network traffic. "+
"See https://docs.victoriametrics.com/victoriametrics/vmagent/#victoriametrics-remote-write-protocol")
)
type pendingSeries struct {
mu sync.Mutex
wr writeRequest
stopCh chan struct{}
periodicFlusherWG sync.WaitGroup
}
func newPendingSeries(fq *persistentqueue.FastQueue, isVMRemoteWrite *atomic.Bool, significantFigures, roundDigits int) *pendingSeries {
var ps pendingSeries
ps.wr.fq = fq
ps.wr.isVMRemoteWrite = isVMRemoteWrite
ps.wr.significantFigures = significantFigures
ps.wr.roundDigits = roundDigits
ps.stopCh = make(chan struct{})
ps.periodicFlusherWG.Go(ps.periodicFlusher)
return &ps
}
func (ps *pendingSeries) MustStop() {
close(ps.stopCh)
ps.periodicFlusherWG.Wait()
}
func (ps *pendingSeries) TryPushTimeSeries(tss []prompb.TimeSeries) bool {
ps.mu.Lock()
ok := ps.wr.tryPushTimeSeries(tss)
ps.mu.Unlock()
return ok
}
func (ps *pendingSeries) TryPushMetadata(mms []prompb.MetricMetadata) bool {
ps.mu.Lock()
ok := ps.wr.tryPushMetadata(mms)
ps.mu.Unlock()
return ok
}
func (ps *pendingSeries) periodicFlusher() {
flushSeconds := int64(flushInterval.Seconds())
if flushSeconds <= 0 {
flushSeconds = 1
}
d := timeutil.AddJitterToDuration(*flushInterval)
ticker := time.NewTicker(d)
defer ticker.Stop()
for {
select {
case <-ps.stopCh:
ps.mu.Lock()
ps.wr.mustFlushOnStop()
ps.mu.Unlock()
return
case <-ticker.C:
if fasttime.UnixTimestamp()-ps.wr.lastFlushTime.Load() < uint64(flushSeconds) {
continue
}
}
ps.mu.Lock()
_ = ps.wr.tryFlush()
ps.mu.Unlock()
}
}
type writeRequest struct {
lastFlushTime atomic.Uint64
// The queue to send blocks to.
fq *persistentqueue.FastQueue
// Whether to encode the write request with VictoriaMetrics remote write protocol.
isVMRemoteWrite *atomic.Bool
// How many significant figures must be left before sending the writeRequest to fq.
significantFigures int
// How many decimal digits after point must be left before sending the writeRequest to fq.
roundDigits int
wr prompb.WriteRequest
tss []prompb.TimeSeries
mms []prompb.MetricMetadata
labels []prompb.Label
samples []prompb.Sample
// buf holds labels data
buf []byte
// metadatabuf holds metadata data
metadatabuf []byte
}
func (wr *writeRequest) reset() {
// Do not reset lastFlushTime, fq, isVMRemoteWrite, significantFigures and roundDigits, since they are reused.
wr.wr.Timeseries = nil
wr.wr.Metadata = nil
clear(wr.tss)
wr.tss = wr.tss[:0]
clear(wr.mms)
wr.mms = wr.mms[:0]
promrelabel.CleanLabels(wr.labels)
wr.labels = wr.labels[:0]
wr.samples = wr.samples[:0]
wr.buf = wr.buf[:0]
wr.metadatabuf = wr.metadatabuf[:0]
}
// mustFlushOnStop force pushes wr data into wr.fq
//
// This is needed in order to properly save in-memory data to persistent queue on graceful shutdown.
func (wr *writeRequest) mustFlushOnStop() {
wr.wr.Timeseries = wr.tss
wr.wr.Metadata = wr.mms
if !tryPushWriteRequest(&wr.wr, wr.mustWriteBlock, wr.isVMRemoteWrite.Load()) {
logger.Panicf("BUG: final flush must always return true")
}
wr.reset()
}
func (wr *writeRequest) mustWriteBlock(block []byte) bool {
wr.fq.MustWriteBlockIgnoreDisabledPQ(block)
return true
}
func (wr *writeRequest) tryFlush() bool {
wr.wr.Timeseries = wr.tss
wr.wr.Metadata = wr.mms
wr.lastFlushTime.Store(fasttime.UnixTimestamp())
if !tryPushWriteRequest(&wr.wr, wr.fq.TryWriteBlock, wr.isVMRemoteWrite.Load()) {
return false
}
wr.reset()
return true
}
func adjustSampleValues(samples []prompb.Sample, significantFigures, roundDigits int) {
if n := significantFigures; n > 0 {
for i := range samples {
s := &samples[i]
s.Value = decimal.RoundToSignificantFigures(s.Value, n)
}
}
if n := roundDigits; n < 100 {
for i := range samples {
s := &samples[i]
s.Value = decimal.RoundToDecimalDigits(s.Value, n)
}
}
}
func (wr *writeRequest) tryPushMetadata(mms []prompb.MetricMetadata) bool {
mmdDst := wr.mms
maxMetadataPerBlock := *maxMetadataPerBlock
for i := range mms {
if len(wr.mms) >= maxMetadataPerBlock {
if !wr.tryFlush() {
return false
}
mmdDst = wr.mms
}
mmSrc := &mms[i]
mmdDst = append(mmdDst, prompb.MetricMetadata{})
wr.copyMetadata(&mmdDst[len(mmdDst)-1], mmSrc)
}
wr.mms = mmdDst
return true
}
func (wr *writeRequest) copyMetadata(dst, src *prompb.MetricMetadata) {
// Direct copy for non-string fields, which are safe by value.
dst.Type = src.Type
dst.Unit = src.Unit
// Pre-allocate memory for all string fields.
neededBufLen := len(src.MetricFamilyName) + len(src.Help)
bufLen := len(wr.metadatabuf)
wr.metadatabuf = slicesutil.SetLength(wr.metadatabuf, bufLen+neededBufLen)
buf := wr.metadatabuf[:bufLen]
// Copy MetricFamilyName
bufLen = len(buf)
buf = append(buf, src.MetricFamilyName...)
dst.MetricFamilyName = bytesutil.ToUnsafeString(buf[bufLen:])
// Copy Help
bufLen = len(buf)
buf = append(buf, src.Help...)
dst.Help = bytesutil.ToUnsafeString(buf[bufLen:])
wr.metadatabuf = buf
}
func (wr *writeRequest) tryPushTimeSeries(src []prompb.TimeSeries) bool {
tssDst := wr.tss
maxSamplesPerBlock := *maxRowsPerBlock
// Allow up to 10x of labels per each block on average.
maxLabelsPerBlock := 10 * maxSamplesPerBlock
for i := range src {
if len(wr.samples) >= maxSamplesPerBlock || len(wr.labels) >= maxLabelsPerBlock {
wr.tss = tssDst
if !wr.tryFlush() {
return false
}
tssDst = wr.tss
}
tsSrc := &src[i]
adjustSampleValues(tsSrc.Samples, wr.significantFigures, wr.roundDigits)
tssDst = append(tssDst, prompb.TimeSeries{})
wr.copyTimeSeries(&tssDst[len(tssDst)-1], tsSrc)
}
wr.tss = tssDst
return true
}
func (wr *writeRequest) copyTimeSeries(dst, src *prompb.TimeSeries) {
labelsSrc := src.Labels
// Pre-allocate memory for labels.
labelsLen := len(wr.labels)
wr.labels = slicesutil.SetLength(wr.labels, labelsLen+len(labelsSrc))
labelsDst := wr.labels[labelsLen:]
// Pre-allocate memory for byte slice needed for storing label names and values.
neededBufLen := 0
for i := range labelsSrc {
label := &labelsSrc[i]
neededBufLen += len(label.Name) + len(label.Value)
}
bufLen := len(wr.buf)
wr.buf = slicesutil.SetLength(wr.buf, bufLen+neededBufLen)
buf := wr.buf[:bufLen]
// Copy labels
for i := range labelsSrc {
dstLabel := &labelsDst[i]
srcLabel := &labelsSrc[i]
bufLen := len(buf)
buf = append(buf, srcLabel.Name...)
dstLabel.Name = bytesutil.ToUnsafeString(buf[bufLen:])
bufLen = len(buf)
buf = append(buf, srcLabel.Value...)
dstLabel.Value = bytesutil.ToUnsafeString(buf[bufLen:])
}
wr.buf = buf
dst.Labels = labelsDst
// Copy samples
samplesLen := len(wr.samples)
wr.samples = append(wr.samples, src.Samples...)
dst.Samples = wr.samples[samplesLen:]
}
// marshalConcurrency limits the maximum number of concurrent workers, which marshal and compress WriteRequest.
var marshalConcurrencyCh = make(chan struct{}, cgroup.AvailableCPUs())
func tryPushWriteRequest(wr *prompb.WriteRequest, tryPushBlock func(block []byte) bool, isVMRemoteWrite bool) bool {
if wr.IsEmpty() {
// Nothing to push
return true
}
marshalConcurrencyCh <- struct{}{}
bb := writeRequestBufPool.Get()
bb.B = wr.MarshalProtobuf(bb.B[:0])
if len(bb.B) <= maxUnpackedBlockSize.IntN() {
zb := compressBufPool.Get()
if isVMRemoteWrite {
zb.B = zstd.CompressLevel(zb.B[:0], bb.B, *vmProtoCompressLevel)
} else {
zb.B = snappy.Encode(zb.B[:cap(zb.B)], bb.B)
}
writeRequestBufPool.Put(bb)
<-marshalConcurrencyCh
if len(zb.B) <= persistentqueue.MaxBlockSize {
zbLen := len(zb.B)
ok := tryPushBlock(zb.B)
compressBufPool.Put(zb)
if ok {
blockSizeRows.Update(float64(len(wr.Timeseries)))
blockMetadataRows.Update(float64(len(wr.Metadata)))
blockSizeBytes.Update(float64(zbLen))
}
return ok
}
compressBufPool.Put(zb)
} else {
writeRequestBufPool.Put(bb)
<-marshalConcurrencyCh
}
// Split timeseries or metadata into two smaller blocks
switch len(wr.Timeseries) {
case 0:
if len(wr.Metadata) == 1 {
logger.Warnf("dropping a metadata exceeding -remoteWrite.maxBlockSize=%d bytes", maxUnpackedBlockSize.N)
return true
}
metadata := wr.Metadata
n := len(metadata) / 2
wr.Metadata = metadata[:n]
if !tryPushWriteRequest(wr, tryPushBlock, isVMRemoteWrite) {
wr.Metadata = metadata
return false
}
wr.Metadata = metadata[n:]
if !tryPushWriteRequest(wr, tryPushBlock, isVMRemoteWrite) {
wr.Metadata = metadata
return false
}
wr.Metadata = metadata
return true
case 1:
// A single time series left. Recursively split its samples and metadata into smaller parts if possible.
samples := wr.Timeseries[0].Samples
metaData := wr.Metadata
if len(samples) == 1 && len(metaData) <= 1 {
logger.Warnf("dropping a sample for metric and %d metadata which are exceeding -remoteWrite.maxBlockSize=%d bytes", len(metaData), maxUnpackedBlockSize.N)
return true
}
n := len(samples) / 2
m := len(metaData) / 2
wr.Timeseries[0].Samples = samples[:n]
wr.Metadata = metaData[:m]
if !tryPushWriteRequest(wr, tryPushBlock, isVMRemoteWrite) {
wr.Timeseries[0].Samples = samples
wr.Metadata = metaData
return false
}
wr.Timeseries[0].Samples = samples[n:]
wr.Metadata = metaData[m:]
if !tryPushWriteRequest(wr, tryPushBlock, isVMRemoteWrite) {
wr.Timeseries[0].Samples = samples
wr.Metadata = metaData
return false
}
wr.Timeseries[0].Samples = samples
wr.Metadata = metaData
return true
default:
// Split both timeseries and metadata.
timeseries := wr.Timeseries
metaData := wr.Metadata
n := len(timeseries) / 2
m := len(metaData) / 2
wr.Timeseries = timeseries[:n]
wr.Metadata = metaData[:m]
if !tryPushWriteRequest(wr, tryPushBlock, isVMRemoteWrite) {
wr.Timeseries = timeseries
wr.Metadata = metaData
return false
}
wr.Timeseries = timeseries[n:]
wr.Metadata = metaData[m:]
if !tryPushWriteRequest(wr, tryPushBlock, isVMRemoteWrite) {
wr.Timeseries = timeseries
wr.Metadata = metaData
return false
}
wr.Timeseries = timeseries
wr.Metadata = metaData
return true
}
}
var (
blockSizeBytes = metrics.NewHistogram(`vmagent_remotewrite_block_size_bytes`)
blockSizeRows = metrics.NewHistogram(`vmagent_remotewrite_block_size_rows`)
blockMetadataRows = metrics.NewHistogram(`vmagent_remotewrite_block_metadata_rows`)
)
var (
writeRequestBufPool bytesutil.ByteBufferPool
compressBufPool bytesutil.ByteBufferPool
)