prometheus/tsdb/head_wal.go
beorn7 7a8bb8222c Style cleanup of all the changes in sparsehistogram so far
A lot of this code was hacked together, literally during a
hackathon. This commit intends not to change the code substantially,
but just make the code obey the usual style practices.

A (possibly incomplete) list of areas:

* Generally address linter warnings.

* The `pgk` directory is deprecated as per dev-summit. No new packages should
  be added to it. I moved the new `pkg/histogram` package to `model`
  anticipating what's proposed in #9478.

* Make the naming of the Sparse Histogram more consistent. Including
  abbreviations, there were just too many names for it: SparseHistogram,
  Histogram, Histo, hist, his, shs, h. The idea is to call it "Histogram" in
  general. Only add "Sparse" if it is needed to avoid confusion with
  conventional Histograms (which is rare because the TSDB really has no notion
  of conventional Histograms). Use abbreviations only in local scope, and then
  really abbreviate (not just removing three out of seven letters like in
  "Histo"). This is in the spirit of
  https://github.com/golang/go/wiki/CodeReviewComments#variable-names

* Several other minor name changes.

* A lot of formatting of doc comments. For one, following
  https://github.com/golang/go/wiki/CodeReviewComments#comment-sentences
  , but also layout question, anticipating how things will look like
  when rendered by `godoc` (even where `godoc` doesn't render them
  right now because they are for unexported types or not a doc comment
  at all but just a normal code comment - consistency is queen!).

* Re-enabled `TestQueryLog` and `TestEndopints` (they pass now,
  leaving them disabled was presumably an oversight).

* Bucket iterator for histogram.Histogram is now created with a
  method.

* HistogramChunk.iterator now allows iterator recycling. (I think
  @dieterbe only commented it out because he was confused by the
  question in the comment.)

* HistogramAppender.Append panics now because we decided to treat
  staleness marker differently.

Signed-off-by: beorn7 <beorn@grafana.com>
2021-10-11 13:02:03 +02:00

1095 lines
30 KiB
Go

// Copyright 2021 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package tsdb
import (
"fmt"
"io/ioutil"
"math"
"os"
"path/filepath"
"runtime"
"strconv"
"strings"
"sync"
"time"
"github.com/prometheus/prometheus/pkg/labels"
"github.com/prometheus/prometheus/tsdb/chunkenc"
"github.com/prometheus/prometheus/tsdb/encoding"
tsdb_errors "github.com/prometheus/prometheus/tsdb/errors"
"github.com/prometheus/prometheus/tsdb/fileutil"
"github.com/go-kit/log/level"
"github.com/pkg/errors"
"go.uber.org/atomic"
"github.com/prometheus/prometheus/pkg/exemplar"
"github.com/prometheus/prometheus/storage"
"github.com/prometheus/prometheus/tsdb/record"
"github.com/prometheus/prometheus/tsdb/tombstones"
"github.com/prometheus/prometheus/tsdb/wal"
)
func (h *Head) loadWAL(r *wal.Reader, multiRef map[uint64]uint64, mmappedChunks map[uint64][]*mmappedChunk) (err error) {
// Track number of samples that referenced a series we don't know about
// for error reporting.
var unknownRefs atomic.Uint64
var unknownExemplarRefs atomic.Uint64
var unknownHistogramRefs atomic.Uint64
// Track number of series records that had overlapping m-map chunks.
var mmapOverlappingChunks uint64
// Start workers that each process samples for a partition of the series ID space.
// They are connected through a ring of channels which ensures that all sample batches
// read from the WAL are processed in order.
var (
wg sync.WaitGroup
n = runtime.GOMAXPROCS(0)
inputs = make([]chan []record.RefSample, n)
outputs = make([]chan []record.RefSample, n)
exemplarsInput chan record.RefExemplar
histogramsInput chan record.RefHistogram
dec record.Decoder
shards = make([][]record.RefSample, n)
decoded = make(chan interface{}, 10)
decodeErr, seriesCreationErr error
seriesPool = sync.Pool{
New: func() interface{} {
return []record.RefSeries{}
},
}
samplesPool = sync.Pool{
New: func() interface{} {
return []record.RefSample{}
},
}
tstonesPool = sync.Pool{
New: func() interface{} {
return []tombstones.Stone{}
},
}
exemplarsPool = sync.Pool{
New: func() interface{} {
return []record.RefExemplar{}
},
}
histogramsPool = sync.Pool{
New: func() interface{} {
return []record.RefHistogram{}
},
}
)
defer func() {
// For CorruptionErr ensure to terminate all workers before exiting.
_, ok := err.(*wal.CorruptionErr)
if ok || seriesCreationErr != nil {
for i := 0; i < n; i++ {
close(inputs[i])
for range outputs[i] {
}
}
close(exemplarsInput)
close(histogramsInput)
wg.Wait()
}
}()
wg.Add(n)
for i := 0; i < n; i++ {
outputs[i] = make(chan []record.RefSample, 300)
inputs[i] = make(chan []record.RefSample, 300)
go func(input <-chan []record.RefSample, output chan<- []record.RefSample) {
unknown := h.processWALSamples(h.minValidTime.Load(), input, output)
unknownRefs.Add(unknown)
wg.Done()
}(inputs[i], outputs[i])
}
wg.Add(1)
exemplarsInput = make(chan record.RefExemplar, 300)
go func(input <-chan record.RefExemplar) {
var err error
defer wg.Done()
for e := range input {
ms := h.series.getByID(e.Ref)
if ms == nil {
unknownExemplarRefs.Inc()
continue
}
if e.T < h.minValidTime.Load() {
continue
}
// At the moment the only possible error here is out of order exemplars, which we shouldn't see when
// replaying the WAL, so lets just log the error if it's not that type.
err = h.exemplars.AddExemplar(ms.lset, exemplar.Exemplar{Ts: e.T, Value: e.V, Labels: e.Labels})
if err != nil && err == storage.ErrOutOfOrderExemplar {
level.Warn(h.logger).Log("msg", "Unexpected error when replaying WAL on exemplar record", "err", err)
}
}
}(exemplarsInput)
wg.Add(1)
histogramsInput = make(chan record.RefHistogram, 300)
go func(input <-chan record.RefHistogram) {
defer wg.Done()
mint, maxt := int64(math.MaxInt64), int64(math.MinInt64)
for rh := range input {
ms := h.series.getByID(rh.Ref)
if ms == nil {
unknownHistogramRefs.Inc()
continue
}
if ms.head() == nil {
// First histogram for the series. Count this in metrics.
ms.histogramSeries = true
}
if rh.T < h.minValidTime.Load() {
continue
}
// At the moment the only possible error here is out of order exemplars, which we shouldn't see when
// replaying the WAL, so lets just log the error if it's not that type.
_, chunkCreated := ms.appendHistogram(rh.T, rh.H, 0, h.chunkDiskMapper)
if chunkCreated {
h.metrics.chunksCreated.Inc()
h.metrics.chunks.Inc()
}
if rh.T > maxt {
maxt = rh.T
}
if rh.T < mint {
mint = rh.T
}
}
h.updateMinMaxTime(mint, maxt)
}(histogramsInput)
go func() {
defer close(decoded)
for r.Next() {
rec := r.Record()
switch dec.Type(rec) {
case record.Series:
series := seriesPool.Get().([]record.RefSeries)[:0]
series, err = dec.Series(rec, series)
if err != nil {
decodeErr = &wal.CorruptionErr{
Err: errors.Wrap(err, "decode series"),
Segment: r.Segment(),
Offset: r.Offset(),
}
return
}
decoded <- series
case record.Samples:
samples := samplesPool.Get().([]record.RefSample)[:0]
samples, err = dec.Samples(rec, samples)
if err != nil {
decodeErr = &wal.CorruptionErr{
Err: errors.Wrap(err, "decode samples"),
Segment: r.Segment(),
Offset: r.Offset(),
}
return
}
decoded <- samples
case record.Tombstones:
tstones := tstonesPool.Get().([]tombstones.Stone)[:0]
tstones, err = dec.Tombstones(rec, tstones)
if err != nil {
decodeErr = &wal.CorruptionErr{
Err: errors.Wrap(err, "decode tombstones"),
Segment: r.Segment(),
Offset: r.Offset(),
}
return
}
decoded <- tstones
case record.Exemplars:
exemplars := exemplarsPool.Get().([]record.RefExemplar)[:0]
exemplars, err = dec.Exemplars(rec, exemplars)
if err != nil {
decodeErr = &wal.CorruptionErr{
Err: errors.Wrap(err, "decode exemplars"),
Segment: r.Segment(),
Offset: r.Offset(),
}
return
}
decoded <- exemplars
case record.Histograms:
hists := histogramsPool.Get().([]record.RefHistogram)[:0]
hists, err = dec.Histograms(rec, hists)
if err != nil {
decodeErr = &wal.CorruptionErr{
Err: errors.Wrap(err, "decode histograms"),
Segment: r.Segment(),
Offset: r.Offset(),
}
return
}
decoded <- hists
default:
// Noop.
}
}
}()
// The records are always replayed from the oldest to the newest.
Outer:
for d := range decoded {
switch v := d.(type) {
case []record.RefSeries:
for _, walSeries := range v {
mSeries, created, err := h.getOrCreateWithID(walSeries.Ref, walSeries.Labels.Hash(), walSeries.Labels)
if err != nil {
seriesCreationErr = err
break Outer
}
if h.lastSeriesID.Load() < walSeries.Ref {
h.lastSeriesID.Store(walSeries.Ref)
}
mmc := mmappedChunks[walSeries.Ref]
if created {
// This is the first WAL series record for this series.
h.setMMappedChunks(mSeries, mmc)
continue
}
// There's already a different ref for this series.
// A duplicate series record is only possible when the old samples were already compacted into a block.
// Hence we can discard all the samples and m-mapped chunks replayed till now for this series.
multiRef[walSeries.Ref] = mSeries.ref
idx := mSeries.ref % uint64(n)
// It is possible that some old sample is being processed in processWALSamples that
// could cause race below. So we wait for the goroutine to empty input the buffer and finish
// processing all old samples after emptying the buffer.
select {
case <-outputs[idx]: // allow output side to drain to avoid deadlock
default:
}
inputs[idx] <- []record.RefSample{}
for len(inputs[idx]) != 0 {
time.Sleep(1 * time.Millisecond)
select {
case <-outputs[idx]: // allow output side to drain to avoid deadlock
default:
}
}
// Checking if the new m-mapped chunks overlap with the already existing ones.
if len(mSeries.mmappedChunks) > 0 && len(mmc) > 0 {
if overlapsClosedInterval(
mSeries.mmappedChunks[0].minTime,
mSeries.mmappedChunks[len(mSeries.mmappedChunks)-1].maxTime,
mmc[0].minTime,
mmc[len(mmc)-1].maxTime,
) {
mmapOverlappingChunks++
level.Debug(h.logger).Log(
"msg", "M-mapped chunks overlap on a duplicate series record",
"series", mSeries.lset.String(),
"oldref", mSeries.ref,
"oldmint", mSeries.mmappedChunks[0].minTime,
"oldmaxt", mSeries.mmappedChunks[len(mSeries.mmappedChunks)-1].maxTime,
"newref", walSeries.Ref,
"newmint", mmc[0].minTime,
"newmaxt", mmc[len(mmc)-1].maxTime,
)
}
}
// Replacing m-mapped chunks with the new ones (could be empty).
h.setMMappedChunks(mSeries, mmc)
// Any samples replayed till now would already be compacted. Resetting the head chunk.
mSeries.nextAt = 0
mSeries.headChunk = nil
mSeries.app = nil
}
//nolint:staticcheck // Ignore SA6002 relax staticcheck verification.
seriesPool.Put(v)
case []record.RefSample:
samples := v
// We split up the samples into chunks of 5000 samples or less.
// With O(300 * #cores) in-flight sample batches, large scrapes could otherwise
// cause thousands of very large in flight buffers occupying large amounts
// of unused memory.
for len(samples) > 0 {
m := 5000
if len(samples) < m {
m = len(samples)
}
for i := 0; i < n; i++ {
var buf []record.RefSample
select {
case buf = <-outputs[i]:
default:
}
shards[i] = buf[:0]
}
for _, sam := range samples[:m] {
if r, ok := multiRef[sam.Ref]; ok {
sam.Ref = r
}
mod := sam.Ref % uint64(n)
shards[mod] = append(shards[mod], sam)
}
for i := 0; i < n; i++ {
inputs[i] <- shards[i]
}
samples = samples[m:]
}
//nolint:staticcheck // Ignore SA6002 relax staticcheck verification.
samplesPool.Put(v)
case []tombstones.Stone:
for _, s := range v {
for _, itv := range s.Intervals {
if itv.Maxt < h.minValidTime.Load() {
continue
}
if m := h.series.getByID(s.Ref); m == nil {
unknownRefs.Inc()
continue
}
h.tombstones.AddInterval(s.Ref, itv)
}
}
//nolint:staticcheck // Ignore SA6002 relax staticcheck verification.
tstonesPool.Put(v)
case []record.RefExemplar:
for _, e := range v {
exemplarsInput <- e
}
//nolint:staticcheck // Ignore SA6002 relax staticcheck verification.
exemplarsPool.Put(v)
case []record.RefHistogram:
// TODO: split into multiple slices and have multiple workers processing the histograms like we do for samples.
for _, rh := range v {
histogramsInput <- rh
}
//nolint:staticcheck // Ignore SA6002 relax staticcheck verification.
histogramsPool.Put(v)
default:
panic(fmt.Errorf("unexpected decoded type: %T", d))
}
}
if decodeErr != nil {
return decodeErr
}
if seriesCreationErr != nil {
// Drain the channel to unblock the goroutine.
for range decoded {
}
return seriesCreationErr
}
// Signal termination to each worker and wait for it to close its output channel.
for i := 0; i < n; i++ {
close(inputs[i])
for range outputs[i] {
}
}
close(exemplarsInput)
close(histogramsInput)
wg.Wait()
if r.Err() != nil {
return errors.Wrap(r.Err(), "read records")
}
if unknownRefs.Load() > 0 || unknownExemplarRefs.Load() > 0 || unknownHistogramRefs.Load() > 0 {
level.Warn(h.logger).Log("msg", "Unknown series references", "samples", unknownRefs.Load(), "exemplars", unknownExemplarRefs.Load(), "histograms", unknownHistogramRefs.Load())
}
if mmapOverlappingChunks > 0 {
level.Info(h.logger).Log("msg", "Overlapping m-map chunks on duplicate series records", "count", mmapOverlappingChunks)
}
return nil
}
func (h *Head) setMMappedChunks(mSeries *memSeries, mmc []*mmappedChunk) {
h.metrics.chunksCreated.Add(float64(len(mmc)))
h.metrics.chunksRemoved.Add(float64(len(mSeries.mmappedChunks)))
h.metrics.chunks.Add(float64(len(mmc) - len(mSeries.mmappedChunks)))
mSeries.mmappedChunks = mmc
// Cache the last mmapped chunk time, so we can skip calling append() for samples it will reject.
if len(mmc) == 0 {
mSeries.mmMaxTime = math.MinInt64
} else {
mSeries.mmMaxTime = mmc[len(mmc)-1].maxTime
h.updateMinMaxTime(mmc[0].minTime, mSeries.mmMaxTime)
}
}
// processWALSamples adds the samples it receives to the head and passes
// the buffer received to an output channel for reuse.
// Samples before the minValidTime timestamp are discarded.
func (h *Head) processWALSamples(
minValidTime int64,
input <-chan []record.RefSample, output chan<- []record.RefSample,
) (unknownRefs uint64) {
defer close(output)
mint, maxt := int64(math.MaxInt64), int64(math.MinInt64)
for samples := range input {
for _, s := range samples {
if s.T < minValidTime {
continue
}
ms := h.series.getByID(s.Ref)
if ms == nil {
unknownRefs++
continue
}
if s.T <= ms.mmMaxTime {
continue
}
if _, chunkCreated := ms.append(s.T, s.V, 0, h.chunkDiskMapper); chunkCreated {
h.metrics.chunksCreated.Inc()
h.metrics.chunks.Inc()
}
if s.T > maxt {
maxt = s.T
}
if s.T < mint {
mint = s.T
}
}
output <- samples
}
h.updateMinMaxTime(mint, maxt)
return unknownRefs
}
const (
chunkSnapshotRecordTypeSeries uint8 = 1
chunkSnapshotRecordTypeTombstones uint8 = 2
chunkSnapshotRecordTypeExemplars uint8 = 3
)
type chunkSnapshotRecord struct {
ref uint64
lset labels.Labels
chunkRange int64
mc *memChunk
sampleBuf [4]sample
}
func (s *memSeries) encodeToSnapshotRecord(b []byte) []byte {
buf := encoding.Encbuf{B: b}
buf.PutByte(chunkSnapshotRecordTypeSeries)
buf.PutBE64(s.ref)
buf.PutUvarint(len(s.lset))
for _, l := range s.lset {
buf.PutUvarintStr(l.Name)
buf.PutUvarintStr(l.Value)
}
buf.PutBE64int64(s.chunkRange)
s.Lock()
if s.headChunk == nil {
buf.PutUvarint(0)
} else {
buf.PutUvarint(1)
buf.PutBE64int64(s.headChunk.minTime)
buf.PutBE64int64(s.headChunk.maxTime)
buf.PutByte(byte(s.headChunk.chunk.Encoding()))
buf.PutUvarintBytes(s.headChunk.chunk.Bytes())
// Put the sample buf.
for _, smpl := range s.sampleBuf {
buf.PutBE64int64(smpl.t)
buf.PutBEFloat64(smpl.v)
}
}
s.Unlock()
return buf.Get()
}
func decodeSeriesFromChunkSnapshot(b []byte) (csr chunkSnapshotRecord, err error) {
dec := encoding.Decbuf{B: b}
if flag := dec.Byte(); flag != chunkSnapshotRecordTypeSeries {
return csr, errors.Errorf("invalid record type %x", flag)
}
csr.ref = dec.Be64()
// The label set written to the disk is already sorted.
csr.lset = make(labels.Labels, dec.Uvarint())
for i := range csr.lset {
csr.lset[i].Name = dec.UvarintStr()
csr.lset[i].Value = dec.UvarintStr()
}
csr.chunkRange = dec.Be64int64()
if dec.Uvarint() == 0 {
return
}
csr.mc = &memChunk{}
csr.mc.minTime = dec.Be64int64()
csr.mc.maxTime = dec.Be64int64()
enc := chunkenc.Encoding(dec.Byte())
// The underlying bytes gets re-used later, so make a copy.
chunkBytes := dec.UvarintBytes()
chunkBytesCopy := make([]byte, len(chunkBytes))
copy(chunkBytesCopy, chunkBytes)
chk, err := chunkenc.FromData(enc, chunkBytesCopy)
if err != nil {
return csr, errors.Wrap(err, "chunk from data")
}
csr.mc.chunk = chk
for i := range csr.sampleBuf {
csr.sampleBuf[i].t = dec.Be64int64()
csr.sampleBuf[i].v = dec.Be64Float64()
}
err = dec.Err()
if err != nil && len(dec.B) > 0 {
err = errors.Errorf("unexpected %d bytes left in entry", len(dec.B))
}
return
}
func encodeTombstonesToSnapshotRecord(tr tombstones.Reader) ([]byte, error) {
buf := encoding.Encbuf{}
buf.PutByte(chunkSnapshotRecordTypeTombstones)
b, err := tombstones.Encode(tr)
if err != nil {
return nil, errors.Wrap(err, "encode tombstones")
}
buf.PutUvarintBytes(b)
return buf.Get(), nil
}
func decodeTombstonesSnapshotRecord(b []byte) (tombstones.Reader, error) {
dec := encoding.Decbuf{B: b}
if flag := dec.Byte(); flag != chunkSnapshotRecordTypeTombstones {
return nil, errors.Errorf("invalid record type %x", flag)
}
tr, err := tombstones.Decode(dec.UvarintBytes())
return tr, errors.Wrap(err, "decode tombstones")
}
const chunkSnapshotPrefix = "chunk_snapshot."
// ChunkSnapshot creates a snapshot of all the series and tombstones in the head.
// It deletes the old chunk snapshots if the chunk snapshot creation is successful.
//
// The chunk snapshot is stored in a directory named chunk_snapshot.N.M and is written
// using the WAL package. N is the last WAL segment present during snapshotting and
// M is the offset in segment N upto which data was written.
//
// The snapshot first contains all series (each in individual records and not sorted), followed by
// tombstones (a single record), and finally exemplars (>= 1 record). Exemplars are in the order they
// were written to the circular buffer.
func (h *Head) ChunkSnapshot() (*ChunkSnapshotStats, error) {
if h.wal == nil {
// If we are not storing any WAL, does not make sense to take a snapshot too.
level.Warn(h.logger).Log("msg", "skipping chunk snapshotting as WAL is disabled")
return &ChunkSnapshotStats{}, nil
}
h.chunkSnapshotMtx.Lock()
defer h.chunkSnapshotMtx.Unlock()
stats := &ChunkSnapshotStats{}
wlast, woffset, err := h.wal.LastSegmentAndOffset()
if err != nil && err != record.ErrNotFound {
return stats, errors.Wrap(err, "get last wal segment and offset")
}
_, cslast, csoffset, err := LastChunkSnapshot(h.opts.ChunkDirRoot)
if err != nil && err != record.ErrNotFound {
return stats, errors.Wrap(err, "find last chunk snapshot")
}
if wlast == cslast && woffset == csoffset {
// Nothing has been written to the WAL/Head since the last snapshot.
return stats, nil
}
snapshotName := chunkSnapshotDir(wlast, woffset)
cpdir := filepath.Join(h.opts.ChunkDirRoot, snapshotName)
cpdirtmp := cpdir + ".tmp"
stats.Dir = cpdir
if err := os.MkdirAll(cpdirtmp, 0777); err != nil {
return stats, errors.Wrap(err, "create chunk snapshot dir")
}
cp, err := wal.New(nil, nil, cpdirtmp, h.wal.CompressionEnabled())
if err != nil {
return stats, errors.Wrap(err, "open chunk snapshot")
}
// Ensures that an early return caused by an error doesn't leave any tmp files.
defer func() {
cp.Close()
os.RemoveAll(cpdirtmp)
}()
var (
buf []byte
recs [][]byte
)
// Add all series to the snapshot.
stripeSize := h.series.size
for i := 0; i < stripeSize; i++ {
h.series.locks[i].RLock()
for _, s := range h.series.series[i] {
start := len(buf)
buf = s.encodeToSnapshotRecord(buf)
if len(buf[start:]) == 0 {
continue // All contents discarded.
}
recs = append(recs, buf[start:])
// Flush records in 10 MB increments.
if len(buf) > 10*1024*1024 {
if err := cp.Log(recs...); err != nil {
h.series.locks[i].RUnlock()
return stats, errors.Wrap(err, "flush records")
}
buf, recs = buf[:0], recs[:0]
}
}
stats.TotalSeries += len(h.series.series[i])
h.series.locks[i].RUnlock()
}
// Add tombstones to the snapshot.
tombstonesReader, err := h.Tombstones()
if err != nil {
return stats, errors.Wrap(err, "get tombstones")
}
rec, err := encodeTombstonesToSnapshotRecord(tombstonesReader)
if err != nil {
return stats, errors.Wrap(err, "encode tombstones")
}
recs = append(recs, rec)
// Flush remaining series records and tombstones.
if err := cp.Log(recs...); err != nil {
return stats, errors.Wrap(err, "flush records")
}
buf = buf[:0]
// Add exemplars in the snapshot.
// We log in batches, with each record having upto 10000 exemplars.
// Assuming 100 bytes (overestimate) per exemplar, that's ~1MB.
maxExemplarsPerRecord := 10000
batch := make([]record.RefExemplar, 0, maxExemplarsPerRecord)
enc := record.Encoder{}
flushExemplars := func() error {
if len(batch) == 0 {
return nil
}
buf = buf[:0]
encbuf := encoding.Encbuf{B: buf}
encbuf.PutByte(chunkSnapshotRecordTypeExemplars)
enc.EncodeExemplarsIntoBuffer(batch, &encbuf)
if err := cp.Log(encbuf.Get()); err != nil {
return errors.Wrap(err, "log exemplars")
}
buf, batch = buf[:0], batch[:0]
return nil
}
err = h.exemplars.IterateExemplars(func(seriesLabels labels.Labels, e exemplar.Exemplar) error {
if len(batch) >= maxExemplarsPerRecord {
if err := flushExemplars(); err != nil {
return errors.Wrap(err, "flush exemplars")
}
}
ms := h.series.getByHash(seriesLabels.Hash(), seriesLabels)
if ms == nil {
// It is possible that exemplar refers to some old series. We discard such exemplars.
return nil
}
batch = append(batch, record.RefExemplar{
Ref: ms.ref,
T: e.Ts,
V: e.Value,
Labels: e.Labels,
})
return nil
})
if err != nil {
return stats, errors.Wrap(err, "iterate exemplars")
}
// Flush remaining exemplars.
if err := flushExemplars(); err != nil {
return stats, errors.Wrap(err, "flush exemplars at the end")
}
if err := cp.Close(); err != nil {
return stats, errors.Wrap(err, "close chunk snapshot")
}
if err := fileutil.Replace(cpdirtmp, cpdir); err != nil {
return stats, errors.Wrap(err, "rename chunk snapshot directory")
}
if err := DeleteChunkSnapshots(h.opts.ChunkDirRoot, wlast, woffset); err != nil {
// Leftover old chunk snapshots do not cause problems down the line beyond
// occupying disk space.
// They will just be ignored since a higher chunk snapshot exists.
level.Error(h.logger).Log("msg", "delete old chunk snapshots", "err", err)
}
return stats, nil
}
func chunkSnapshotDir(wlast, woffset int) string {
return fmt.Sprintf(chunkSnapshotPrefix+"%06d.%010d", wlast, woffset)
}
func (h *Head) performChunkSnapshot() error {
level.Info(h.logger).Log("msg", "creating chunk snapshot")
startTime := time.Now()
stats, err := h.ChunkSnapshot()
elapsed := time.Since(startTime)
if err == nil {
level.Info(h.logger).Log("msg", "chunk snapshot complete", "duration", elapsed.String(), "num_series", stats.TotalSeries, "dir", stats.Dir)
}
return errors.Wrap(err, "chunk snapshot")
}
// ChunkSnapshotStats returns stats about a created chunk snapshot.
type ChunkSnapshotStats struct {
TotalSeries int
Dir string
}
// LastChunkSnapshot returns the directory name and index of the most recent chunk snapshot.
// If dir does not contain any chunk snapshots, ErrNotFound is returned.
func LastChunkSnapshot(dir string) (string, int, int, error) {
files, err := ioutil.ReadDir(dir)
if err != nil {
return "", 0, 0, err
}
maxIdx, maxOffset := -1, -1
maxFileName := ""
for i := 0; i < len(files); i++ {
fi := files[i]
if !strings.HasPrefix(fi.Name(), chunkSnapshotPrefix) {
continue
}
if !fi.IsDir() {
return "", 0, 0, errors.Errorf("chunk snapshot %s is not a directory", fi.Name())
}
splits := strings.Split(fi.Name()[len(chunkSnapshotPrefix):], ".")
if len(splits) != 2 {
return "", 0, 0, errors.Errorf("chunk snapshot %s is not in the right format", fi.Name())
}
idx, err := strconv.Atoi(splits[0])
if err != nil {
continue
}
offset, err := strconv.Atoi(splits[1])
if err != nil {
continue
}
if idx > maxIdx || (idx == maxIdx && offset > maxOffset) {
maxIdx, maxOffset = idx, offset
maxFileName = filepath.Join(dir, fi.Name())
}
}
if maxFileName == "" {
return "", 0, 0, record.ErrNotFound
}
return maxFileName, maxIdx, maxOffset, nil
}
// DeleteChunkSnapshots deletes all chunk snapshots in a directory below a given index.
func DeleteChunkSnapshots(dir string, maxIndex, maxOffset int) error {
files, err := ioutil.ReadDir(dir)
if err != nil {
return err
}
errs := tsdb_errors.NewMulti()
for _, fi := range files {
if !strings.HasPrefix(fi.Name(), chunkSnapshotPrefix) {
continue
}
splits := strings.Split(fi.Name()[len(chunkSnapshotPrefix):], ".")
if len(splits) != 2 {
continue
}
idx, err := strconv.Atoi(splits[0])
if err != nil {
continue
}
offset, err := strconv.Atoi(splits[1])
if err != nil {
continue
}
if idx < maxIndex || (idx == maxIndex && offset < maxOffset) {
if err := os.RemoveAll(filepath.Join(dir, fi.Name())); err != nil {
errs.Add(err)
}
}
}
return errs.Err()
}
// loadChunkSnapshot replays the chunk snapshot and restores the Head state from it. If there was any error returned,
// it is the responsibility of the caller to clear the contents of the Head.
func (h *Head) loadChunkSnapshot() (int, int, map[uint64]*memSeries, error) {
dir, snapIdx, snapOffset, err := LastChunkSnapshot(h.opts.ChunkDirRoot)
if err != nil {
if err == record.ErrNotFound {
return snapIdx, snapOffset, nil, nil
}
return snapIdx, snapOffset, nil, errors.Wrap(err, "find last chunk snapshot")
}
start := time.Now()
sr, err := wal.NewSegmentsReader(dir)
if err != nil {
return snapIdx, snapOffset, nil, errors.Wrap(err, "open chunk snapshot")
}
defer func() {
if err := sr.Close(); err != nil {
level.Warn(h.logger).Log("msg", "error while closing the wal segments reader", "err", err)
}
}()
var (
numSeries = 0
unknownRefs = int64(0)
n = runtime.GOMAXPROCS(0)
wg sync.WaitGroup
recordChan = make(chan chunkSnapshotRecord, 5*n)
shardedRefSeries = make([]map[uint64]*memSeries, n)
errChan = make(chan error, n)
refSeries map[uint64]*memSeries
exemplarBuf []record.RefExemplar
dec record.Decoder
)
wg.Add(n)
for i := 0; i < n; i++ {
go func(idx int, rc <-chan chunkSnapshotRecord) {
defer wg.Done()
defer func() {
// If there was an error, drain the channel
// to unblock the main thread.
for range rc {
}
}()
shardedRefSeries[idx] = make(map[uint64]*memSeries)
localRefSeries := shardedRefSeries[idx]
for csr := range rc {
series, _, err := h.getOrCreateWithID(csr.ref, csr.lset.Hash(), csr.lset)
if err != nil {
errChan <- err
return
}
localRefSeries[csr.ref] = series
if h.lastSeriesID.Load() < series.ref {
h.lastSeriesID.Store(series.ref)
}
series.chunkRange = csr.chunkRange
if csr.mc == nil {
continue
}
series.nextAt = csr.mc.maxTime // This will create a new chunk on append.
series.headChunk = csr.mc
for i := range series.sampleBuf {
series.sampleBuf[i].t = csr.sampleBuf[i].t
series.sampleBuf[i].v = csr.sampleBuf[i].v
}
app, err := series.headChunk.chunk.Appender()
if err != nil {
errChan <- err
return
}
series.app = app
h.updateMinMaxTime(csr.mc.minTime, csr.mc.maxTime)
}
}(i, recordChan)
}
r := wal.NewReader(sr)
var loopErr error
Outer:
for r.Next() {
select {
case err := <-errChan:
errChan <- err
break Outer
default:
}
rec := r.Record()
switch rec[0] {
case chunkSnapshotRecordTypeSeries:
numSeries++
csr, err := decodeSeriesFromChunkSnapshot(rec)
if err != nil {
loopErr = errors.Wrap(err, "decode series record")
break Outer
}
recordChan <- csr
case chunkSnapshotRecordTypeTombstones:
tr, err := decodeTombstonesSnapshotRecord(rec)
if err != nil {
loopErr = errors.Wrap(err, "decode tombstones")
break Outer
}
if err = tr.Iter(func(ref uint64, ivs tombstones.Intervals) error {
h.tombstones.AddInterval(ref, ivs...)
return nil
}); err != nil {
loopErr = errors.Wrap(err, "iterate tombstones")
break Outer
}
case chunkSnapshotRecordTypeExemplars:
// Exemplars are at the end of snapshot. So all series are loaded at this point.
if len(refSeries) == 0 {
close(recordChan)
wg.Wait()
refSeries = make(map[uint64]*memSeries, numSeries)
for _, shard := range shardedRefSeries {
for k, v := range shard {
refSeries[k] = v
}
}
}
if !h.opts.EnableExemplarStorage || h.opts.MaxExemplars.Load() <= 0 {
// Exemplar storage is disabled.
continue Outer
}
decbuf := encoding.Decbuf{B: rec[1:]}
exemplarBuf = exemplarBuf[:0]
exemplarBuf, err = dec.ExemplarsFromBuffer(&decbuf, exemplarBuf)
if err != nil {
loopErr = errors.Wrap(err, "exemplars from buffer")
break Outer
}
for _, e := range exemplarBuf {
ms, ok := refSeries[e.Ref]
if !ok {
unknownRefs++
continue
}
if err := h.exemplars.AddExemplar(ms.lset, exemplar.Exemplar{
Labels: e.Labels,
Value: e.V,
Ts: e.T,
}); err != nil {
loopErr = errors.Wrap(err, "add exemplar")
break Outer
}
}
default:
// This is a record type we don't understand. It is either and old format from earlier versions,
// or a new format and the code was rolled back to old version.
loopErr = errors.Errorf("unsuported snapshot record type 0b%b", rec[0])
break Outer
}
}
if len(refSeries) == 0 {
close(recordChan)
wg.Wait()
}
close(errChan)
merr := tsdb_errors.NewMulti(errors.Wrap(loopErr, "decode loop"))
for err := range errChan {
merr.Add(errors.Wrap(err, "record processing"))
}
if err := merr.Err(); err != nil {
return -1, -1, nil, err
}
if r.Err() != nil {
return -1, -1, nil, errors.Wrap(r.Err(), "read records")
}
if len(refSeries) == 0 {
// We had no exemplar record, so we have to build the map here.
refSeries = make(map[uint64]*memSeries, numSeries)
for _, shard := range shardedRefSeries {
for k, v := range shard {
refSeries[k] = v
}
}
}
elapsed := time.Since(start)
level.Info(h.logger).Log("msg", "chunk snapshot loaded", "dir", dir, "num_series", numSeries, "duration", elapsed.String())
if unknownRefs > 0 {
level.Warn(h.logger).Log("msg", "unknown series references during chunk snapshot replay", "count", unknownRefs)
}
return snapIdx, snapOffset, refSeries, nil
}