VictoriaMetrics/app/vmagent/remotewrite/pendingseries.go
Aliaksandr Valialkin b6a976b98d app/vmagent: reduce memory usage when importing data via /api/v1/import
Previously vmagent could use big amounts of RAM when each ingested JSON line
contained many samples.
2020-09-26 04:10:24 +03:00

203 lines
5.2 KiB
Go

package remotewrite
import (
"flag"
"sync"
"sync/atomic"
"time"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
"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/metrics"
"github.com/golang/snappy"
)
var (
flushInterval = flag.Duration("remoteWrite.flushInterval", time.Second, "Interval for flushing the data to remote storage. "+
"Higher value reduces network bandwidth usage at the cost of delayed push of scraped data to remote storage. "+
"Minimum supported interval is 1 second")
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
type pendingSeries struct {
mu sync.Mutex
wr writeRequest
stopCh chan struct{}
periodicFlusherWG sync.WaitGroup
}
func newPendingSeries(pushBlock func(block []byte)) *pendingSeries {
var ps pendingSeries
ps.wr.pushBlock = pushBlock
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
wr prompbmarshal.WriteRequest
pushBlock func(block []byte)
tss []prompbmarshal.TimeSeries
labels []prompbmarshal.Label
samples []prompbmarshal.Sample
buf []byte
}
func (wr *writeRequest) reset() {
wr.wr.Timeseries = nil
for i := range wr.tss {
ts := &wr.tss[i]
ts.Labels = nil
ts.Samples = nil
}
wr.tss = wr.tss[:0]
for i := range wr.labels {
label := &wr.labels[i]
label.Name = ""
label.Value = ""
}
wr.labels = wr.labels[:0]
wr.samples = wr.samples[:0]
wr.buf = wr.buf[:0]
}
func (wr *writeRequest) flush() {
wr.wr.Timeseries = wr.tss
atomic.StoreUint64(&wr.lastFlushTime, fasttime.UnixTimestamp())
pushWriteRequest(&wr.wr, wr.pushBlock)
wr.reset()
}
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 {
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