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prometheus/tsdb/head.go

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// Copyright 2017 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 (
"context"
"fmt"
"math"
"path/filepath"
"runtime"
"sort"
"sync"
"time"
"github.com/go-kit/kit/log"
"github.com/go-kit/kit/log/level"
"github.com/oklog/ulid"
"github.com/pkg/errors"
"github.com/prometheus/client_golang/prometheus"
"github.com/prometheus/prometheus/pkg/labels"
"github.com/prometheus/prometheus/storage"
"github.com/prometheus/prometheus/tsdb/chunkenc"
"github.com/prometheus/prometheus/tsdb/chunks"
tsdb_errors "github.com/prometheus/prometheus/tsdb/errors"
"github.com/prometheus/prometheus/tsdb/index"
"github.com/prometheus/prometheus/tsdb/record"
"github.com/prometheus/prometheus/tsdb/tombstones"
"github.com/prometheus/prometheus/tsdb/tsdbutil"
"github.com/prometheus/prometheus/tsdb/wal"
"go.uber.org/atomic"
)
var (
// ErrInvalidSample is returned if an appended sample is not valid and can't
// be ingested.
ErrInvalidSample = errors.New("invalid sample")
// ErrAppenderClosed is returned if an appender has already be successfully
// rolled back or committed.
ErrAppenderClosed = errors.New("appender closed")
)
// Head handles reads and writes of time series data within a time window.
type Head struct {
chunkRange atomic.Int64
numSeries atomic.Uint64
minTime, maxTime atomic.Int64 // Current min and max of the samples included in the head.
minValidTime atomic.Int64 // Mint allowed to be added to the head. It shouldn't be lower than the maxt of the last persisted block.
lastSeriesID atomic.Uint64
metrics *headMetrics
wal *wal.WAL
logger log.Logger
appendPool sync.Pool
seriesPool sync.Pool
bytesPool sync.Pool
memChunkPool sync.Pool
// All series addressable by their ID or hash.
series *stripeSeries
seriesCallback SeriesLifecycleCallback
symMtx sync.RWMutex
symbols map[string]struct{}
deletedMtx sync.Mutex
deleted map[uint64]int // Deleted series, and what WAL segment they must be kept until.
postings *index.MemPostings // Postings lists for terms.
tombstones *tombstones.MemTombstones
iso *isolation
cardinalityMutex sync.Mutex
cardinalityCache *index.PostingsStats // Posting stats cache which will expire after 30sec.
lastPostingsStatsCall time.Duration // Last posting stats call (PostingsCardinalityStats()) time for caching.
// chunkDiskMapper is used to write and read Head chunks to/from disk.
chunkDiskMapper *chunks.ChunkDiskMapper
// chunkDirRoot is the parent directory of the chunks directory.
chunkDirRoot string
closedMtx sync.Mutex
closed bool
}
type headMetrics struct {
activeAppenders prometheus.Gauge
series prometheus.GaugeFunc
seriesCreated prometheus.Counter
seriesRemoved prometheus.Counter
seriesNotFound prometheus.Counter
chunks prometheus.Gauge
chunksCreated prometheus.Counter
chunksRemoved prometheus.Counter
gcDuration prometheus.Summary
samplesAppended prometheus.Counter
outOfBoundSamples prometheus.Counter
outOfOrderSamples prometheus.Counter
walTruncateDuration prometheus.Summary
walCorruptionsTotal prometheus.Counter
walTotalReplayDuration prometheus.Gauge
headTruncateFail prometheus.Counter
headTruncateTotal prometheus.Counter
checkpointDeleteFail prometheus.Counter
checkpointDeleteTotal prometheus.Counter
checkpointCreationFail prometheus.Counter
checkpointCreationTotal prometheus.Counter
mmapChunkCorruptionTotal prometheus.Counter
}
func newHeadMetrics(h *Head, r prometheus.Registerer) *headMetrics {
m := &headMetrics{
activeAppenders: prometheus.NewGauge(prometheus.GaugeOpts{
Name: "prometheus_tsdb_head_active_appenders",
Help: "Number of currently active appender transactions",
}),
series: prometheus.NewGaugeFunc(prometheus.GaugeOpts{
Name: "prometheus_tsdb_head_series",
Help: "Total number of series in the head block.",
}, func() float64 {
return float64(h.NumSeries())
}),
seriesCreated: prometheus.NewCounter(prometheus.CounterOpts{
Name: "prometheus_tsdb_head_series_created_total",
Help: "Total number of series created in the head",
}),
seriesRemoved: prometheus.NewCounter(prometheus.CounterOpts{
Name: "prometheus_tsdb_head_series_removed_total",
Help: "Total number of series removed in the head",
}),
seriesNotFound: prometheus.NewCounter(prometheus.CounterOpts{
Name: "prometheus_tsdb_head_series_not_found_total",
Help: "Total number of requests for series that were not found.",
}),
chunks: prometheus.NewGauge(prometheus.GaugeOpts{
Name: "prometheus_tsdb_head_chunks",
Help: "Total number of chunks in the head block.",
}),
chunksCreated: prometheus.NewCounter(prometheus.CounterOpts{
Name: "prometheus_tsdb_head_chunks_created_total",
Help: "Total number of chunks created in the head",
}),
chunksRemoved: prometheus.NewCounter(prometheus.CounterOpts{
Name: "prometheus_tsdb_head_chunks_removed_total",
Help: "Total number of chunks removed in the head",
}),
gcDuration: prometheus.NewSummary(prometheus.SummaryOpts{
Name: "prometheus_tsdb_head_gc_duration_seconds",
Help: "Runtime of garbage collection in the head block.",
}),
walTruncateDuration: prometheus.NewSummary(prometheus.SummaryOpts{
Name: "prometheus_tsdb_wal_truncate_duration_seconds",
Help: "Duration of WAL truncation.",
}),
walCorruptionsTotal: prometheus.NewCounter(prometheus.CounterOpts{
Name: "prometheus_tsdb_wal_corruptions_total",
Help: "Total number of WAL corruptions.",
}),
walTotalReplayDuration: prometheus.NewGauge(prometheus.GaugeOpts{
Name: "prometheus_tsdb_data_replay_duration_seconds",
Help: "Time taken to replay the data on disk.",
}),
samplesAppended: prometheus.NewCounter(prometheus.CounterOpts{
Name: "prometheus_tsdb_head_samples_appended_total",
Help: "Total number of appended samples.",
}),
outOfBoundSamples: prometheus.NewCounter(prometheus.CounterOpts{
Name: "prometheus_tsdb_out_of_bound_samples_total",
Help: "Total number of out of bound samples ingestion failed attempts.",
}),
outOfOrderSamples: prometheus.NewCounter(prometheus.CounterOpts{
Name: "prometheus_tsdb_out_of_order_samples_total",
Help: "Total number of out of order samples ingestion failed attempts.",
}),
headTruncateFail: prometheus.NewCounter(prometheus.CounterOpts{
Name: "prometheus_tsdb_head_truncations_failed_total",
Help: "Total number of head truncations that failed.",
}),
headTruncateTotal: prometheus.NewCounter(prometheus.CounterOpts{
Name: "prometheus_tsdb_head_truncations_total",
Help: "Total number of head truncations attempted.",
}),
checkpointDeleteFail: prometheus.NewCounter(prometheus.CounterOpts{
Name: "prometheus_tsdb_checkpoint_deletions_failed_total",
Help: "Total number of checkpoint deletions that failed.",
}),
checkpointDeleteTotal: prometheus.NewCounter(prometheus.CounterOpts{
Name: "prometheus_tsdb_checkpoint_deletions_total",
Help: "Total number of checkpoint deletions attempted.",
}),
checkpointCreationFail: prometheus.NewCounter(prometheus.CounterOpts{
Name: "prometheus_tsdb_checkpoint_creations_failed_total",
Help: "Total number of checkpoint creations that failed.",
}),
checkpointCreationTotal: prometheus.NewCounter(prometheus.CounterOpts{
Name: "prometheus_tsdb_checkpoint_creations_total",
Help: "Total number of checkpoint creations attempted.",
}),
mmapChunkCorruptionTotal: prometheus.NewCounter(prometheus.CounterOpts{
Name: "prometheus_tsdb_mmap_chunk_corruptions_total",
Help: "Total number of memory-mapped chunk corruptions.",
}),
}
if r != nil {
r.MustRegister(
m.activeAppenders,
m.series,
m.chunks,
m.chunksCreated,
m.chunksRemoved,
m.seriesCreated,
m.seriesRemoved,
m.seriesNotFound,
m.gcDuration,
m.walTruncateDuration,
m.walCorruptionsTotal,
m.walTotalReplayDuration,
m.samplesAppended,
m.outOfBoundSamples,
m.outOfOrderSamples,
m.headTruncateFail,
m.headTruncateTotal,
m.checkpointDeleteFail,
m.checkpointDeleteTotal,
m.checkpointCreationFail,
m.checkpointCreationTotal,
m.mmapChunkCorruptionTotal,
// Metrics bound to functions and not needed in tests
// can be created and registered on the spot.
prometheus.NewGaugeFunc(prometheus.GaugeOpts{
Name: "prometheus_tsdb_head_max_time",
Help: "Maximum timestamp of the head block. The unit is decided by the library consumer.",
}, func() float64 {
return float64(h.MaxTime())
}),
prometheus.NewGaugeFunc(prometheus.GaugeOpts{
Name: "prometheus_tsdb_head_min_time",
Help: "Minimum time bound of the head block. The unit is decided by the library consumer.",
}, func() float64 {
return float64(h.MinTime())
}),
prometheus.NewGaugeFunc(prometheus.GaugeOpts{
Name: "prometheus_tsdb_isolation_low_watermark",
Help: "The lowest TSDB append ID that is still referenced.",
}, func() float64 {
return float64(h.iso.lowWatermark())
}),
prometheus.NewGaugeFunc(prometheus.GaugeOpts{
Name: "prometheus_tsdb_isolation_high_watermark",
Help: "The highest TSDB append ID that has been given out.",
}, func() float64 {
return float64(h.iso.lastAppendID())
}),
)
}
return m
}
const cardinalityCacheExpirationTime = time.Duration(30) * time.Second
// PostingsCardinalityStats returns top 10 highest cardinality stats By label and value names.
func (h *Head) PostingsCardinalityStats(statsByLabelName string) *index.PostingsStats {
h.cardinalityMutex.Lock()
defer h.cardinalityMutex.Unlock()
currentTime := time.Duration(time.Now().Unix()) * time.Second
seconds := currentTime - h.lastPostingsStatsCall
if seconds > cardinalityCacheExpirationTime {
h.cardinalityCache = nil
}
if h.cardinalityCache != nil {
return h.cardinalityCache
}
h.cardinalityCache = h.postings.Stats(statsByLabelName)
h.lastPostingsStatsCall = time.Duration(time.Now().Unix()) * time.Second
return h.cardinalityCache
}
// NewHead opens the head block in dir.
// stripeSize sets the number of entries in the hash map, it must be a power of 2.
// A larger stripeSize will allocate more memory up-front, but will increase performance when handling a large number of series.
// A smaller stripeSize reduces the memory allocated, but can decrease performance with large number of series.
func NewHead(r prometheus.Registerer, l log.Logger, wal *wal.WAL, chunkRange int64, chkDirRoot string, pool chunkenc.Pool, stripeSize int, seriesCallback SeriesLifecycleCallback) (*Head, error) {
if l == nil {
l = log.NewNopLogger()
}
if chunkRange < 1 {
return nil, errors.Errorf("invalid chunk range %d", chunkRange)
}
if seriesCallback == nil {
seriesCallback = &noopSeriesLifecycleCallback{}
}
h := &Head{
wal: wal,
logger: l,
series: newStripeSeries(stripeSize, seriesCallback),
symbols: map[string]struct{}{},
postings: index.NewUnorderedMemPostings(),
tombstones: tombstones.NewMemTombstones(),
iso: newIsolation(),
deleted: map[uint64]int{},
memChunkPool: sync.Pool{
New: func() interface{} {
return &memChunk{}
},
},
chunkDirRoot: chkDirRoot,
seriesCallback: seriesCallback,
}
h.chunkRange.Store(chunkRange)
h.minTime.Store(math.MaxInt64)
h.maxTime.Store(math.MinInt64)
h.metrics = newHeadMetrics(h, r)
if pool == nil {
pool = chunkenc.NewPool()
}
var err error
h.chunkDiskMapper, err = chunks.NewChunkDiskMapper(mmappedChunksDir(chkDirRoot), pool)
if err != nil {
return nil, err
}
return h, nil
}
func mmappedChunksDir(dir string) string { return filepath.Join(dir, "chunks_head") }
// processWALSamples adds a partition of samples it receives to the head and passes
// them on to other workers.
// Samples before the mint timestamp are discarded.
func (h *Head) processWALSamples(
minValidTime int64,
input <-chan []record.RefSample, output chan<- []record.RefSample,
) (unknownRefs uint64) {
defer close(output)
// Mitigate lock contention in getByID.
refSeries := map[uint64]*memSeries{}
mint, maxt := int64(math.MaxInt64), int64(math.MinInt64)
for samples := range input {
for _, s := range samples {
if s.T < minValidTime {
continue
}
ms := refSeries[s.Ref]
if ms == nil {
ms = h.series.getByID(s.Ref)
if ms == nil {
unknownRefs++
continue
}
refSeries[s.Ref] = ms
}
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
}
func (h *Head) updateMinMaxTime(mint, maxt int64) {
for {
lt := h.MinTime()
if mint >= lt {
break
}
if h.minTime.CAS(lt, mint) {
break
}
}
for {
ht := h.MaxTime()
if maxt <= ht {
break
}
if h.maxTime.CAS(ht, maxt) {
break
}
}
}
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
// 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)
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{}
},
}
)
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] {
}
}
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])
}
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
default:
// Noop.
}
}
}()
Outer:
for d := range decoded {
switch v := d.(type) {
case []record.RefSeries:
for _, s := range v {
series, created, err := h.getOrCreateWithID(s.Ref, s.Labels.Hash(), s.Labels)
if err != nil {
seriesCreationErr = err
break Outer
}
if created {
// If this series gets a duplicate record, we don't restore its mmapped chunks,
// and instead restore everything from WAL records.
series.mmappedChunks = mmappedChunks[series.ref]
h.metrics.chunks.Add(float64(len(series.mmappedChunks)))
h.metrics.chunksCreated.Add(float64(len(series.mmappedChunks)))
if len(series.mmappedChunks) > 0 {
h.updateMinMaxTime(series.minTime(), series.maxTime())
}
} else {
// TODO(codesome) Discard old samples and mmapped chunks and use mmap chunks for the new series ID.
// There's already a different ref for this series.
multiRef[s.Ref] = series.ref
}
if h.lastSeriesID.Load() < s.Ref {
h.lastSeriesID.Store(s.Ref)
}
}
//lint: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:]
}
//lint: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)
}
}
//lint:ignore SA6002 relax staticcheck verification.
tstonesPool.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] {
}
}
wg.Wait()
if r.Err() != nil {
return errors.Wrap(r.Err(), "read records")
}
if unknownRefs.Load() > 0 {
level.Warn(h.logger).Log("msg", "Unknown series references", "count", unknownRefs)
}
return nil
}
// Init loads data from the write ahead log and prepares the head for writes.
// It should be called before using an appender so that it
// limits the ingested samples to the head min valid time.
func (h *Head) Init(minValidTime int64) error {
h.minValidTime.Store(minValidTime)
defer h.postings.EnsureOrder()
defer h.gc() // After loading the wal remove the obsolete data from the head.
level.Info(h.logger).Log("msg", "Replaying on-disk memory mappable chunks if any")
start := time.Now()
mmappedChunks, err := h.loadMmappedChunks()
if err != nil {
level.Error(h.logger).Log("msg", "Loading on-disk chunks failed", "err", err)
if _, ok := errors.Cause(err).(*chunks.CorruptionErr); ok {
h.metrics.mmapChunkCorruptionTotal.Inc()
}
// If this fails, data will be recovered from WAL.
// Hence we wont lose any data (given WAL is not corrupt).
mmappedChunks = h.removeCorruptedMmappedChunks(err)
}
level.Info(h.logger).Log("msg", "On-disk memory mappable chunks replay completed", "duration", time.Since(start).String())
if h.wal == nil {
level.Info(h.logger).Log("msg", "WAL not found")
return nil
}
level.Info(h.logger).Log("msg", "Replaying WAL, this may take a while")
checkpointReplayStart := time.Now()
// Backfill the checkpoint first if it exists.
dir, startFrom, err := wal.LastCheckpoint(h.wal.Dir())
if err != nil && err != record.ErrNotFound {
return errors.Wrap(err, "find last checkpoint")
}
multiRef := map[uint64]uint64{}
if err == nil {
sr, err := wal.NewSegmentsReader(dir)
if err != nil {
return errors.Wrap(err, "open checkpoint")
}
defer func() {
if err := sr.Close(); err != nil {
level.Warn(h.logger).Log("msg", "Error while closing the wal segments reader", "err", err)
}
}()
// A corrupted checkpoint is a hard error for now and requires user
// intervention. There's likely little data that can be recovered anyway.
if err := h.loadWAL(wal.NewReader(sr), multiRef, mmappedChunks); err != nil {
return errors.Wrap(err, "backfill checkpoint")
}
startFrom++
level.Info(h.logger).Log("msg", "WAL checkpoint loaded")
}
checkpointReplayDuration := time.Since(checkpointReplayStart)
walReplayStart := time.Now()
// Find the last segment.
_, last, err := wal.Segments(h.wal.Dir())
if err != nil {
return errors.Wrap(err, "finding WAL segments")
}
// Backfill segments from the most recent checkpoint onwards.
for i := startFrom; i <= last; i++ {
s, err := wal.OpenReadSegment(wal.SegmentName(h.wal.Dir(), i))
if err != nil {
return errors.Wrap(err, fmt.Sprintf("open WAL segment: %d", i))
}
sr := wal.NewSegmentBufReader(s)
err = h.loadWAL(wal.NewReader(sr), multiRef, mmappedChunks)
if err := sr.Close(); err != nil {
level.Warn(h.logger).Log("msg", "Error while closing the wal segments reader", "err", err)
}
if err != nil {
return err
}
level.Info(h.logger).Log("msg", "WAL segment loaded", "segment", i, "maxSegment", last)
}
walReplayDuration := time.Since(start)
h.metrics.walTotalReplayDuration.Set(walReplayDuration.Seconds())
level.Info(h.logger).Log(
"msg", "WAL replay completed",
"checkpoint_replay_duration", checkpointReplayDuration.String(),
"wal_replay_duration", time.Since(walReplayStart).String(),
"total_replay_duration", walReplayDuration.String(),
)
return nil
}
func (h *Head) loadMmappedChunks() (map[uint64][]*mmappedChunk, error) {
mmappedChunks := map[uint64][]*mmappedChunk{}
if err := h.chunkDiskMapper.IterateAllChunks(func(seriesRef, chunkRef uint64, mint, maxt int64, numSamples uint16) error {
if maxt < h.minValidTime.Load() {
return nil
}
slice := mmappedChunks[seriesRef]
if len(slice) > 0 {
if slice[len(slice)-1].maxTime >= mint {
return &chunks.CorruptionErr{
Err: errors.Errorf("out of sequence m-mapped chunk for series ref %d", seriesRef),
}
}
}
slice = append(slice, &mmappedChunk{
ref: chunkRef,
minTime: mint,
maxTime: maxt,
numSamples: numSamples,
})
mmappedChunks[seriesRef] = slice
return nil
}); err != nil {
return nil, errors.Wrap(err, "iterate on on-disk chunks")
}
return mmappedChunks, nil
}
// removeCorruptedMmappedChunks attempts to delete the corrupted mmapped chunks and if it fails, it clears all the previously
// loaded mmapped chunks.
func (h *Head) removeCorruptedMmappedChunks(err error) map[uint64][]*mmappedChunk {
level.Info(h.logger).Log("msg", "Deleting mmapped chunk files")
if err := h.chunkDiskMapper.DeleteCorrupted(err); err != nil {
level.Info(h.logger).Log("msg", "Deletion of mmap chunk files failed, discarding chunk files completely", "err", err)
return map[uint64][]*mmappedChunk{}
}
level.Info(h.logger).Log("msg", "Deletion of mmap chunk files successful, reattempting m-mapping the on-disk chunks")
mmappedChunks, err := h.loadMmappedChunks()
if err != nil {
level.Error(h.logger).Log("msg", "Loading on-disk chunks failed, discarding chunk files completely", "err", err)
mmappedChunks = map[uint64][]*mmappedChunk{}
}
return mmappedChunks
}
// Truncate removes old data before mint from the head.
func (h *Head) Truncate(mint int64) (err error) {
defer func() {
if err != nil {
h.metrics.headTruncateFail.Inc()
}
}()
initialize := h.MinTime() == math.MaxInt64
if h.MinTime() >= mint && !initialize {
return nil
}
h.minTime.Store(mint)
h.minValidTime.Store(mint)
// Ensure that max time is at least as high as min time.
for h.MaxTime() < mint {
h.maxTime.CAS(h.MaxTime(), mint)
}
// This was an initial call to Truncate after loading blocks on startup.
// We haven't read back the WAL yet, so do not attempt to truncate it.
if initialize {
return nil
}
h.metrics.headTruncateTotal.Inc()
start := time.Now()
h.gc()
level.Info(h.logger).Log("msg", "Head GC completed", "duration", time.Since(start))
h.metrics.gcDuration.Observe(time.Since(start).Seconds())
// Truncate the chunk m-mapper.
if err := h.chunkDiskMapper.Truncate(mint); err != nil {
return errors.Wrap(err, "truncate chunks.HeadReadWriter")
}
if h.wal == nil {
return nil
}
start = time.Now()
first, last, err := wal.Segments(h.wal.Dir())
if err != nil {
return errors.Wrap(err, "get segment range")
}
// Start a new segment, so low ingestion volume TSDB don't have more WAL than
// needed.
err = h.wal.NextSegment()
if err != nil {
return errors.Wrap(err, "next segment")
}
last-- // Never consider last segment for checkpoint.
if last < 0 {
return nil // no segments yet.
}
// The lower two thirds of segments should contain mostly obsolete samples.
// If we have less than two segments, it's not worth checkpointing yet.
// With the default 2h blocks, this will keeping up to around 3h worth
// of WAL segments.
last = first + (last-first)*2/3
if last <= first {
return nil
}
keep := func(id uint64) bool {
if h.series.getByID(id) != nil {
return true
}
h.deletedMtx.Lock()
_, ok := h.deleted[id]
h.deletedMtx.Unlock()
return ok
}
h.metrics.checkpointCreationTotal.Inc()
if _, err = wal.Checkpoint(h.logger, h.wal, first, last, keep, mint); err != nil {
h.metrics.checkpointCreationFail.Inc()
if _, ok := errors.Cause(err).(*wal.CorruptionErr); ok {
h.metrics.walCorruptionsTotal.Inc()
}
return errors.Wrap(err, "create checkpoint")
}
if err := h.wal.Truncate(last + 1); err != nil {
// If truncating fails, we'll just try again at the next checkpoint.
// Leftover segments will just be ignored in the future if there's a checkpoint
// that supersedes them.
level.Error(h.logger).Log("msg", "truncating segments failed", "err", err)
}
// The checkpoint is written and segments before it is truncated, so we no
// longer need to track deleted series that are before it.
h.deletedMtx.Lock()
for ref, segment := range h.deleted {
if segment < first {
delete(h.deleted, ref)
}
}
h.deletedMtx.Unlock()
h.metrics.checkpointDeleteTotal.Inc()
if err := wal.DeleteCheckpoints(h.wal.Dir(), last); err != nil {
// Leftover old checkpoints do not cause problems down the line beyond
// occupying disk space.
// They will just be ignored since a higher checkpoint exists.
level.Error(h.logger).Log("msg", "delete old checkpoints", "err", err)
h.metrics.checkpointDeleteFail.Inc()
}
h.metrics.walTruncateDuration.Observe(time.Since(start).Seconds())
level.Info(h.logger).Log("msg", "WAL checkpoint complete",
"first", first, "last", last, "duration", time.Since(start))
return nil
}
// initTime initializes a head with the first timestamp. This only needs to be called
// for a completely fresh head with an empty WAL.
func (h *Head) initTime(t int64) {
if !h.minTime.CAS(math.MaxInt64, t) {
return
}
// Ensure that max time is initialized to at least the min time we just set.
// Concurrent appenders may already have set it to a higher value.
h.maxTime.CAS(math.MinInt64, t)
}
type Stats struct {
NumSeries uint64
MinTime, MaxTime int64
IndexPostingStats *index.PostingsStats
}
// Stats returns important current HEAD statistics. Note that it is expensive to
// calculate these.
func (h *Head) Stats(statsByLabelName string) *Stats {
return &Stats{
NumSeries: h.NumSeries(),
MaxTime: h.MaxTime(),
MinTime: h.MinTime(),
IndexPostingStats: h.PostingsCardinalityStats(statsByLabelName),
}
}
type RangeHead struct {
head *Head
mint, maxt int64
}
// NewRangeHead returns a *RangeHead.
func NewRangeHead(head *Head, mint, maxt int64) *RangeHead {
return &RangeHead{
head: head,
mint: mint,
maxt: maxt,
}
}
func (h *RangeHead) Index() (IndexReader, error) {
return h.head.indexRange(h.mint, h.maxt), nil
}
func (h *RangeHead) Chunks() (ChunkReader, error) {
return h.head.chunksRange(h.mint, h.maxt, h.head.iso.State())
}
func (h *RangeHead) Tombstones() (tombstones.Reader, error) {
return h.head.tombstones, nil
}
func (h *RangeHead) MinTime() int64 {
return h.mint
}
func (h *RangeHead) MaxTime() int64 {
return h.maxt
}
func (h *RangeHead) NumSeries() uint64 {
return h.head.NumSeries()
}
func (h *RangeHead) Meta() BlockMeta {
return BlockMeta{
MinTime: h.MinTime(),
MaxTime: h.MaxTime(),
ULID: h.head.Meta().ULID,
Stats: BlockStats{
NumSeries: h.NumSeries(),
},
}
}
// initAppender is a helper to initialize the time bounds of the head
// upon the first sample it receives.
type initAppender struct {
app storage.Appender
head *Head
}
func (a *initAppender) Add(lset labels.Labels, t int64, v float64) (uint64, error) {
if a.app != nil {
return a.app.Add(lset, t, v)
}
a.head.initTime(t)
a.app = a.head.appender()
return a.app.Add(lset, t, v)
}
func (a *initAppender) AddFast(ref uint64, t int64, v float64) error {
if a.app == nil {
return storage.ErrNotFound
}
return a.app.AddFast(ref, t, v)
}
func (a *initAppender) Commit() error {
if a.app == nil {
return nil
}
return a.app.Commit()
}
func (a *initAppender) Rollback() error {
if a.app == nil {
return nil
}
return a.app.Rollback()
}
// Appender returns a new Appender on the database.
func (h *Head) Appender(_ context.Context) storage.Appender {
h.metrics.activeAppenders.Inc()
// The head cache might not have a starting point yet. The init appender
// picks up the first appended timestamp as the base.
if h.MinTime() == math.MaxInt64 {
return &initAppender{
head: h,
}
}
return h.appender()
}
func (h *Head) appender() *headAppender {
appendID := h.iso.newAppendID()
cleanupAppendIDsBelow := h.iso.lowWatermark()
return &headAppender{
head: h,
// Set the minimum valid time to whichever is greater the head min valid time or the compaction window.
// This ensures that no samples will be added within the compaction window to avoid races.
minValidTime: max(h.minValidTime.Load(), h.MaxTime()-h.chunkRange.Load()/2),
mint: math.MaxInt64,
maxt: math.MinInt64,
samples: h.getAppendBuffer(),
sampleSeries: h.getSeriesBuffer(),
appendID: appendID,
cleanupAppendIDsBelow: cleanupAppendIDsBelow,
}
}
func max(a, b int64) int64 {
if a > b {
return a
}
return b
}
func (h *Head) getAppendBuffer() []record.RefSample {
b := h.appendPool.Get()
if b == nil {
return make([]record.RefSample, 0, 512)
}
return b.([]record.RefSample)
}
func (h *Head) putAppendBuffer(b []record.RefSample) {
//lint:ignore SA6002 safe to ignore and actually fixing it has some performance penalty.
h.appendPool.Put(b[:0])
}
func (h *Head) getSeriesBuffer() []*memSeries {
b := h.seriesPool.Get()
if b == nil {
return make([]*memSeries, 0, 512)
}
return b.([]*memSeries)
}
func (h *Head) putSeriesBuffer(b []*memSeries) {
//lint:ignore SA6002 safe to ignore and actually fixing it has some performance penalty.
h.seriesPool.Put(b[:0])
}
func (h *Head) getBytesBuffer() []byte {
b := h.bytesPool.Get()
if b == nil {
return make([]byte, 0, 1024)
}
return b.([]byte)
}
func (h *Head) putBytesBuffer(b []byte) {
//lint:ignore SA6002 safe to ignore and actually fixing it has some performance penalty.
h.bytesPool.Put(b[:0])
}
type headAppender struct {
head *Head
minValidTime int64 // No samples below this timestamp are allowed.
mint, maxt int64
series []record.RefSeries
samples []record.RefSample
sampleSeries []*memSeries
appendID, cleanupAppendIDsBelow uint64
closed bool
}
func (a *headAppender) Add(lset labels.Labels, t int64, v float64) (uint64, error) {
if t < a.minValidTime {
a.head.metrics.outOfBoundSamples.Inc()
return 0, storage.ErrOutOfBounds
}
// Ensure no empty labels have gotten through.
lset = lset.WithoutEmpty()
if len(lset) == 0 {
return 0, errors.Wrap(ErrInvalidSample, "empty labelset")
}
if l, dup := lset.HasDuplicateLabelNames(); dup {
return 0, errors.Wrap(ErrInvalidSample, fmt.Sprintf(`label name "%s" is not unique`, l))
}
s, created, err := a.head.getOrCreate(lset.Hash(), lset)
if err != nil {
return 0, err
}
if created {
a.series = append(a.series, record.RefSeries{
Ref: s.ref,
Labels: lset,
})
}
return s.ref, a.AddFast(s.ref, t, v)
}
func (a *headAppender) AddFast(ref uint64, t int64, v float64) error {
if t < a.minValidTime {
a.head.metrics.outOfBoundSamples.Inc()
return storage.ErrOutOfBounds
}
s := a.head.series.getByID(ref)
if s == nil {
return errors.Wrap(storage.ErrNotFound, "unknown series")
}
s.Lock()
if err := s.appendable(t, v); err != nil {
s.Unlock()
if err == storage.ErrOutOfOrderSample {
a.head.metrics.outOfOrderSamples.Inc()
}
return err
}
s.pendingCommit = true
s.Unlock()
if t < a.mint {
a.mint = t
}
if t > a.maxt {
a.maxt = t
}
a.samples = append(a.samples, record.RefSample{
Ref: ref,
T: t,
V: v,
})
a.sampleSeries = append(a.sampleSeries, s)
return nil
}
func (a *headAppender) log() error {
if a.head.wal == nil {
return nil
}
buf := a.head.getBytesBuffer()
defer func() { a.head.putBytesBuffer(buf) }()
var rec []byte
var enc record.Encoder
if len(a.series) > 0 {
rec = enc.Series(a.series, buf)
buf = rec[:0]
if err := a.head.wal.Log(rec); err != nil {
return errors.Wrap(err, "log series")
}
}
if len(a.samples) > 0 {
rec = enc.Samples(a.samples, buf)
buf = rec[:0]
if err := a.head.wal.Log(rec); err != nil {
return errors.Wrap(err, "log samples")
}
}
return nil
}
func (a *headAppender) Commit() (err error) {
if a.closed {
return ErrAppenderClosed
}
defer func() { a.closed = true }()
if err := a.log(); err != nil {
//nolint: errcheck
a.Rollback() // Most likely the same error will happen again.
return errors.Wrap(err, "write to WAL")
}
defer a.head.metrics.activeAppenders.Dec()
defer a.head.putAppendBuffer(a.samples)
defer a.head.putSeriesBuffer(a.sampleSeries)
defer a.head.iso.closeAppend(a.appendID)
total := len(a.samples)
var series *memSeries
for i, s := range a.samples {
series = a.sampleSeries[i]
series.Lock()
ok, chunkCreated := series.append(s.T, s.V, a.appendID, a.head.chunkDiskMapper)
series.cleanupAppendIDsBelow(a.cleanupAppendIDsBelow)
series.pendingCommit = false
series.Unlock()
if !ok {
total--
a.head.metrics.outOfOrderSamples.Inc()
}
if chunkCreated {
a.head.metrics.chunks.Inc()
a.head.metrics.chunksCreated.Inc()
}
}
a.head.metrics.samplesAppended.Add(float64(total))
a.head.updateMinMaxTime(a.mint, a.maxt)
return nil
}
func (a *headAppender) Rollback() (err error) {
if a.closed {
return ErrAppenderClosed
}
defer func() { a.closed = true }()
defer a.head.metrics.activeAppenders.Dec()
defer a.head.iso.closeAppend(a.appendID)
defer a.head.putSeriesBuffer(a.sampleSeries)
var series *memSeries
for i := range a.samples {
series = a.sampleSeries[i]
series.Lock()
series.cleanupAppendIDsBelow(a.cleanupAppendIDsBelow)
series.pendingCommit = false
series.Unlock()
}
a.head.putAppendBuffer(a.samples)
a.samples = nil
// Series are created in the head memory regardless of rollback. Thus we have
// to log them to the WAL in any case.
return a.log()
}
// Delete all samples in the range of [mint, maxt] for series that satisfy the given
// label matchers.
func (h *Head) Delete(mint, maxt int64, ms ...*labels.Matcher) error {
// Do not delete anything beyond the currently valid range.
mint, maxt = clampInterval(mint, maxt, h.MinTime(), h.MaxTime())
ir := h.indexRange(mint, maxt)
p, err := PostingsForMatchers(ir, ms...)
if err != nil {
return errors.Wrap(err, "select series")
}
var stones []tombstones.Stone
for p.Next() {
series := h.series.getByID(p.At())
series.RLock()
t0, t1 := series.minTime(), series.maxTime()
series.RUnlock()
if t0 == math.MinInt64 || t1 == math.MinInt64 {
continue
}
// Delete only until the current values and not beyond.
t0, t1 = clampInterval(mint, maxt, t0, t1)
stones = append(stones, tombstones.Stone{Ref: p.At(), Intervals: tombstones.Intervals{{Mint: t0, Maxt: t1}}})
}
if p.Err() != nil {
return p.Err()
}
if h.wal != nil {
var enc record.Encoder
if err := h.wal.Log(enc.Tombstones(stones, nil)); err != nil {
return err
}
}
for _, s := range stones {
h.tombstones.AddInterval(s.Ref, s.Intervals[0])
}
return nil
}
// gc removes data before the minimum timestamp from the head.
func (h *Head) gc() {
// Only data strictly lower than this timestamp must be deleted.
mint := h.MinTime()
// Drop old chunks and remember series IDs and hashes if they can be
// deleted entirely.
deleted, chunksRemoved := h.series.gc(mint)
seriesRemoved := len(deleted)
h.metrics.seriesRemoved.Add(float64(seriesRemoved))
h.metrics.chunksRemoved.Add(float64(chunksRemoved))
h.metrics.chunks.Sub(float64(chunksRemoved))
h.numSeries.Sub(uint64(seriesRemoved))
// Remove deleted series IDs from the postings lists.
h.postings.Delete(deleted)
if h.wal != nil {
_, last, _ := wal.Segments(h.wal.Dir())
h.deletedMtx.Lock()
// Keep series records until we're past segment 'last'
// because the WAL will still have samples records with
// this ref ID. If we didn't keep these series records then
// on start up when we replay the WAL, or any other code
// that reads the WAL, wouldn't be able to use those
// samples since we would have no labels for that ref ID.
for ref := range deleted {
h.deleted[ref] = last
}
h.deletedMtx.Unlock()
}
// Rebuild symbols and label value indices from what is left in the postings terms.
// symMtx ensures that append of symbols and postings is disabled for rebuild time.
h.symMtx.Lock()
defer h.symMtx.Unlock()
symbols := make(map[string]struct{}, len(h.symbols))
if err := h.postings.Iter(func(l labels.Label, _ index.Postings) error {
symbols[l.Name] = struct{}{}
symbols[l.Value] = struct{}{}
return nil
}); err != nil {
// This should never happen, as the iteration function only returns nil.
panic(err)
}
h.symbols = symbols
}
// Tombstones returns a new reader over the head's tombstones
func (h *Head) Tombstones() (tombstones.Reader, error) {
return h.tombstones, nil
}
// Index returns an IndexReader against the block.
func (h *Head) Index() (IndexReader, error) {
return h.indexRange(math.MinInt64, math.MaxInt64), nil
}
func (h *Head) indexRange(mint, maxt int64) *headIndexReader {
if hmin := h.MinTime(); hmin > mint {
mint = hmin
}
return &headIndexReader{head: h, mint: mint, maxt: maxt}
}
// Chunks returns a ChunkReader against the block.
func (h *Head) Chunks() (ChunkReader, error) {
return h.chunksRange(math.MinInt64, math.MaxInt64, h.iso.State())
}
func (h *Head) chunksRange(mint, maxt int64, is *isolationState) (*headChunkReader, error) {
h.closedMtx.Lock()
defer h.closedMtx.Unlock()
if h.closed {
return nil, errors.New("can't read from a closed head")
}
if hmin := h.MinTime(); hmin > mint {
mint = hmin
}
return &headChunkReader{
head: h,
mint: mint,
maxt: maxt,
isoState: is,
}, nil
}
// NumSeries returns the number of active series in the head.
func (h *Head) NumSeries() uint64 {
return h.numSeries.Load()
}
// Meta returns meta information about the head.
// The head is dynamic so will return dynamic results.
func (h *Head) Meta() BlockMeta {
var id [16]byte
copy(id[:], "______head______")
return BlockMeta{
MinTime: h.MinTime(),
MaxTime: h.MaxTime(),
ULID: ulid.ULID(id),
Stats: BlockStats{
NumSeries: h.NumSeries(),
},
}
}
// MinTime returns the lowest time bound on visible data in the head.
func (h *Head) MinTime() int64 {
return h.minTime.Load()
}
// MaxTime returns the highest timestamp seen in data of the head.
func (h *Head) MaxTime() int64 {
return h.maxTime.Load()
}
// compactable returns whether the head has a compactable range.
// The head has a compactable range when the head time range is 1.5 times the chunk range.
// The 0.5 acts as a buffer of the appendable window.
func (h *Head) compactable() bool {
return h.MaxTime()-h.MinTime() > h.chunkRange.Load()/2*3
}
// Close flushes the WAL and closes the head.
func (h *Head) Close() error {
h.closedMtx.Lock()
defer h.closedMtx.Unlock()
h.closed = true
var merr tsdb_errors.MultiError
merr.Add(h.chunkDiskMapper.Close())
if h.wal != nil {
merr.Add(h.wal.Close())
}
return merr.Err()
}
type headChunkReader struct {
head *Head
mint, maxt int64
isoState *isolationState
}
func (h *headChunkReader) Close() error {
h.isoState.Close()
return nil
}
// packChunkID packs a seriesID and a chunkID within it into a global 8 byte ID.
// It panicks if the seriesID exceeds 5 bytes or the chunk ID 3 bytes.
func packChunkID(seriesID, chunkID uint64) uint64 {
if seriesID > (1<<40)-1 {
panic("series ID exceeds 5 bytes")
}
if chunkID > (1<<24)-1 {
panic("chunk ID exceeds 3 bytes")
}
return (seriesID << 24) | chunkID
}
func unpackChunkID(id uint64) (seriesID, chunkID uint64) {
return id >> 24, (id << 40) >> 40
}
// Chunk returns the chunk for the reference number.
func (h *headChunkReader) Chunk(ref uint64) (chunkenc.Chunk, error) {
sid, cid := unpackChunkID(ref)
s := h.head.series.getByID(sid)
// This means that the series has been garbage collected.
if s == nil {
return nil, storage.ErrNotFound
}
s.Lock()
c, garbageCollect, err := s.chunk(int(cid), h.head.chunkDiskMapper)
if err != nil {
s.Unlock()
return nil, err
}
defer func() {
if garbageCollect {
// Set this to nil so that Go GC can collect it after it has been used.
c.chunk = nil
s.memChunkPool.Put(c)
}
}()
// This means that the chunk is outside the specified range.
if !c.OverlapsClosedInterval(h.mint, h.maxt) {
s.Unlock()
return nil, storage.ErrNotFound
}
s.Unlock()
return &safeChunk{
Chunk: c.chunk,
s: s,
cid: int(cid),
isoState: h.isoState,
chunkDiskMapper: h.head.chunkDiskMapper,
}, nil
}
type safeChunk struct {
chunkenc.Chunk
s *memSeries
cid int
isoState *isolationState
chunkDiskMapper *chunks.ChunkDiskMapper
}
func (c *safeChunk) Iterator(reuseIter chunkenc.Iterator) chunkenc.Iterator {
c.s.Lock()
it := c.s.iterator(c.cid, c.isoState, c.chunkDiskMapper, reuseIter)
c.s.Unlock()
return it
}
type headIndexReader struct {
head *Head
mint, maxt int64
}
func (h *headIndexReader) Close() error {
return nil
}
func (h *headIndexReader) Symbols() index.StringIter {
h.head.symMtx.RLock()
res := make([]string, 0, len(h.head.symbols))
for s := range h.head.symbols {
res = append(res, s)
}
h.head.symMtx.RUnlock()
sort.Strings(res)
return index.NewStringListIter(res)
}
// SortedLabelValues returns label values present in the head for the
// specific label name that are within the time range mint to maxt.
func (h *headIndexReader) SortedLabelValues(name string) ([]string, error) {
values, err := h.LabelValues(name)
if err == nil {
sort.Strings(values)
}
return values, err
}
// LabelValues returns label values present in the head for the
// specific label name that are within the time range mint to maxt.
func (h *headIndexReader) LabelValues(name string) ([]string, error) {
h.head.symMtx.RLock()
defer h.head.symMtx.RUnlock()
if h.maxt < h.head.MinTime() || h.mint > h.head.MaxTime() {
return []string{}, nil
}
values := h.head.postings.LabelValues(name)
return values, nil
}
// LabelNames returns all the unique label names present in the head
// that are within the time range mint to maxt.
func (h *headIndexReader) LabelNames() ([]string, error) {
h.head.symMtx.RLock()
if h.maxt < h.head.MinTime() || h.mint > h.head.MaxTime() {
h.head.symMtx.RUnlock()
return []string{}, nil
}
labelNames := h.head.postings.LabelNames()
h.head.symMtx.RUnlock()
sort.Strings(labelNames)
return labelNames, nil
}
// Postings returns the postings list iterator for the label pairs.
func (h *headIndexReader) Postings(name string, values ...string) (index.Postings, error) {
res := make([]index.Postings, 0, len(values))
for _, value := range values {
res = append(res, h.head.postings.Get(name, value))
}
return index.Merge(res...), nil
}
func (h *headIndexReader) SortedPostings(p index.Postings) index.Postings {
series := make([]*memSeries, 0, 128)
// Fetch all the series only once.
for p.Next() {
s := h.head.series.getByID(p.At())
if s == nil {
level.Debug(h.head.logger).Log("msg", "Looked up series not found")
} else {
series = append(series, s)
}
}
if err := p.Err(); err != nil {
return index.ErrPostings(errors.Wrap(err, "expand postings"))
}
sort.Slice(series, func(i, j int) bool {
return labels.Compare(series[i].lset, series[j].lset) < 0
})
// Convert back to list.
ep := make([]uint64, 0, len(series))
for _, p := range series {
ep = append(ep, p.ref)
}
return index.NewListPostings(ep)
}
// Series returns the series for the given reference.
func (h *headIndexReader) Series(ref uint64, lbls *labels.Labels, chks *[]chunks.Meta) error {
s := h.head.series.getByID(ref)
if s == nil {
h.head.metrics.seriesNotFound.Inc()
return storage.ErrNotFound
}
*lbls = append((*lbls)[:0], s.lset...)
s.Lock()
defer s.Unlock()
*chks = (*chks)[:0]
for i, c := range s.mmappedChunks {
// Do not expose chunks that are outside of the specified range.
if !c.OverlapsClosedInterval(h.mint, h.maxt) {
continue
}
*chks = append(*chks, chunks.Meta{
MinTime: c.minTime,
MaxTime: c.maxTime,
Ref: packChunkID(s.ref, uint64(s.chunkID(i))),
})
}
if s.headChunk != nil && s.headChunk.OverlapsClosedInterval(h.mint, h.maxt) {
*chks = append(*chks, chunks.Meta{
MinTime: s.headChunk.minTime,
MaxTime: math.MaxInt64, // Set the head chunks as open (being appended to).
Ref: packChunkID(s.ref, uint64(s.chunkID(len(s.mmappedChunks)))),
})
}
return nil
}
func (h *Head) getOrCreate(hash uint64, lset labels.Labels) (*memSeries, bool, error) {
// Just using `getOrSet` below would be semantically sufficient, but we'd create
// a new series on every sample inserted via Add(), which causes allocations
// and makes our series IDs rather random and harder to compress in postings.
s := h.series.getByHash(hash, lset)
if s != nil {
return s, false, nil
}
// Optimistically assume that we are the first one to create the series.
id := h.lastSeriesID.Inc()
return h.getOrCreateWithID(id, hash, lset)
}
func (h *Head) getOrCreateWithID(id, hash uint64, lset labels.Labels) (*memSeries, bool, error) {
s := newMemSeries(lset, id, h.chunkRange.Load(), &h.memChunkPool)
s, created, err := h.series.getOrSet(hash, s)
if err != nil {
return nil, false, err
}
if !created {
return s, false, nil
}
h.metrics.seriesCreated.Inc()
h.numSeries.Inc()
h.symMtx.Lock()
defer h.symMtx.Unlock()
for _, l := range lset {
h.symbols[l.Name] = struct{}{}
h.symbols[l.Value] = struct{}{}
}
h.postings.Add(id, lset)
return s, true, nil
}
// seriesHashmap is a simple hashmap for memSeries by their label set. It is built
// on top of a regular hashmap and holds a slice of series to resolve hash collisions.
// Its methods require the hash to be submitted with it to avoid re-computations throughout
// the code.
type seriesHashmap map[uint64][]*memSeries
func (m seriesHashmap) get(hash uint64, lset labels.Labels) *memSeries {
for _, s := range m[hash] {
if labels.Equal(s.lset, lset) {
return s
}
}
return nil
}
func (m seriesHashmap) set(hash uint64, s *memSeries) {
l := m[hash]
for i, prev := range l {
if labels.Equal(prev.lset, s.lset) {
l[i] = s
return
}
}
m[hash] = append(l, s)
}
func (m seriesHashmap) del(hash uint64, lset labels.Labels) {
var rem []*memSeries
for _, s := range m[hash] {
if !labels.Equal(s.lset, lset) {
rem = append(rem, s)
}
}
if len(rem) == 0 {
delete(m, hash)
} else {
m[hash] = rem
}
}
const (
// DefaultStripeSize is the default number of entries to allocate in the stripeSeries hash map.
DefaultStripeSize = 1 << 14
)
// stripeSeries locks modulo ranges of IDs and hashes to reduce lock contention.
// The locks are padded to not be on the same cache line. Filling the padded space
// with the maps was profiled to be slower likely due to the additional pointer
// dereferences.
type stripeSeries struct {
size int
series []map[uint64]*memSeries
hashes []seriesHashmap
locks []stripeLock
seriesLifecycleCallback SeriesLifecycleCallback
}
type stripeLock struct {
sync.RWMutex
// Padding to avoid multiple locks being on the same cache line.
_ [40]byte
}
func newStripeSeries(stripeSize int, seriesCallback SeriesLifecycleCallback) *stripeSeries {
s := &stripeSeries{
size: stripeSize,
series: make([]map[uint64]*memSeries, stripeSize),
hashes: make([]seriesHashmap, stripeSize),
locks: make([]stripeLock, stripeSize),
seriesLifecycleCallback: seriesCallback,
}
for i := range s.series {
s.series[i] = map[uint64]*memSeries{}
}
for i := range s.hashes {
s.hashes[i] = seriesHashmap{}
}
return s
}
// gc garbage collects old chunks that are strictly before mint and removes
// series entirely that have no chunks left.
func (s *stripeSeries) gc(mint int64) (map[uint64]struct{}, int) {
var (
deleted = map[uint64]struct{}{}
deletedForCallback = []labels.Labels{}
rmChunks = 0
)
// Run through all series and truncate old chunks. Mark those with no
// chunks left as deleted and store their ID.
for i := 0; i < s.size; i++ {
s.locks[i].Lock()
for hash, all := range s.hashes[i] {
for _, series := range all {
series.Lock()
rmChunks += series.truncateChunksBefore(mint)
if len(series.mmappedChunks) > 0 || series.headChunk != nil || series.pendingCommit {
series.Unlock()
continue
}
// The series is gone entirely. We need to keep the series lock
// and make sure we have acquired the stripe locks for hash and ID of the
// series alike.
// If we don't hold them all, there's a very small chance that a series receives
// samples again while we are half-way into deleting it.
j := int(series.ref) & (s.size - 1)
if i != j {
s.locks[j].Lock()
}
deleted[series.ref] = struct{}{}
s.hashes[i].del(hash, series.lset)
delete(s.series[j], series.ref)
deletedForCallback = append(deletedForCallback, series.lset)
if i != j {
s.locks[j].Unlock()
}
series.Unlock()
}
}
s.locks[i].Unlock()
s.seriesLifecycleCallback.PostDeletion(deletedForCallback...)
deletedForCallback = deletedForCallback[:0]
}
return deleted, rmChunks
}
func (s *stripeSeries) getByID(id uint64) *memSeries {
i := id & uint64(s.size-1)
s.locks[i].RLock()
series := s.series[i][id]
s.locks[i].RUnlock()
return series
}
func (s *stripeSeries) getByHash(hash uint64, lset labels.Labels) *memSeries {
i := hash & uint64(s.size-1)
s.locks[i].RLock()
series := s.hashes[i].get(hash, lset)
s.locks[i].RUnlock()
return series
}
func (s *stripeSeries) getOrSet(hash uint64, series *memSeries) (*memSeries, bool, error) {
// PreCreation is called here to avoid calling it inside the lock.
// It is not necessary to call it just before creating a series,
// rather it gives a 'hint' whether to create a series or not.
createSeriesErr := s.seriesLifecycleCallback.PreCreation(series.lset)
i := hash & uint64(s.size-1)
s.locks[i].Lock()
if prev := s.hashes[i].get(hash, series.lset); prev != nil {
s.locks[i].Unlock()
return prev, false, nil
}
if createSeriesErr == nil {
s.hashes[i].set(hash, series)
}
s.locks[i].Unlock()
if createSeriesErr != nil {
// The callback prevented creation of series.
return nil, false, createSeriesErr
}
// Setting the series in the s.hashes marks the creation of series
// as any further calls to this methods would return that series.
s.seriesLifecycleCallback.PostCreation(series.lset)
i = series.ref & uint64(s.size-1)
s.locks[i].Lock()
s.series[i][series.ref] = series
s.locks[i].Unlock()
return series, true, nil
}
type sample struct {
t int64
v float64
}
func newSample(t int64, v float64) tsdbutil.Sample { return sample{t, v} }
func (s sample) T() int64 { return s.t }
func (s sample) V() float64 { return s.v }
// memSeries is the in-memory representation of a series. None of its methods
// are goroutine safe and it is the caller's responsibility to lock it.
type memSeries struct {
sync.RWMutex
ref uint64
lset labels.Labels
mmappedChunks []*mmappedChunk
headChunk *memChunk
chunkRange int64
firstChunkID int
nextAt int64 // Timestamp at which to cut the next chunk.
sampleBuf [4]sample
pendingCommit bool // Whether there are samples waiting to be committed to this series.
app chunkenc.Appender // Current appender for the chunk.
memChunkPool *sync.Pool
txs *txRing
}
func newMemSeries(lset labels.Labels, id uint64, chunkRange int64, memChunkPool *sync.Pool) *memSeries {
s := &memSeries{
lset: lset,
ref: id,
chunkRange: chunkRange,
nextAt: math.MinInt64,
txs: newTxRing(4),
memChunkPool: memChunkPool,
}
return s
}
func (s *memSeries) minTime() int64 {
if len(s.mmappedChunks) > 0 {
return s.mmappedChunks[0].minTime
}
if s.headChunk != nil {
return s.headChunk.minTime
}
return math.MinInt64
}
func (s *memSeries) maxTime() int64 {
c := s.head()
if c == nil {
return math.MinInt64
}
return c.maxTime
}
func (s *memSeries) cutNewHeadChunk(mint int64, chunkDiskMapper *chunks.ChunkDiskMapper) *memChunk {
s.mmapCurrentHeadChunk(chunkDiskMapper)
s.headChunk = &memChunk{
chunk: chunkenc.NewXORChunk(),
minTime: mint,
maxTime: math.MinInt64,
}
// Set upper bound on when the next chunk must be started. An earlier timestamp
// may be chosen dynamically at a later point.
s.nextAt = rangeForTimestamp(mint, s.chunkRange)
app, err := s.headChunk.chunk.Appender()
if err != nil {
panic(err)
}
s.app = app
return s.headChunk
}
func (s *memSeries) mmapCurrentHeadChunk(chunkDiskMapper *chunks.ChunkDiskMapper) {
if s.headChunk == nil {
// There is no head chunk, so nothing to m-map here.
return
}
chunkRef, err := chunkDiskMapper.WriteChunk(s.ref, s.headChunk.minTime, s.headChunk.maxTime, s.headChunk.chunk)
if err != nil {
if err != chunks.ErrChunkDiskMapperClosed {
panic(err)
}
}
s.mmappedChunks = append(s.mmappedChunks, &mmappedChunk{
ref: chunkRef,
numSamples: uint16(s.headChunk.chunk.NumSamples()),
minTime: s.headChunk.minTime,
maxTime: s.headChunk.maxTime,
})
}
// appendable checks whether the given sample is valid for appending to the series.
func (s *memSeries) appendable(t int64, v float64) error {
c := s.head()
if c == nil {
return nil
}
if t > c.maxTime {
return nil
}
if t < c.maxTime {
return storage.ErrOutOfOrderSample
}
// We are allowing exact duplicates as we can encounter them in valid cases
// like federation and erroring out at that time would be extremely noisy.
if math.Float64bits(s.sampleBuf[3].v) != math.Float64bits(v) {
return storage.ErrDuplicateSampleForTimestamp
}
return nil
}
// chunk returns the chunk for the chunk id from memory or by m-mapping it from the disk.
// If garbageCollect is true, it means that the returned *memChunk
// (and not the chunkenc.Chunk inside it) can be garbage collected after it's usage.
func (s *memSeries) chunk(id int, chunkDiskMapper *chunks.ChunkDiskMapper) (chunk *memChunk, garbageCollect bool, err error) {
// ix represents the index of chunk in the s.mmappedChunks slice. The chunk id's are
// incremented by 1 when new chunk is created, hence (id - firstChunkID) gives the slice index.
// The max index for the s.mmappedChunks slice can be len(s.mmappedChunks)-1, hence if the ix
// is len(s.mmappedChunks), it represents the next chunk, which is the head chunk.
ix := id - s.firstChunkID
if ix < 0 || ix > len(s.mmappedChunks) {
return nil, false, storage.ErrNotFound
}
if ix == len(s.mmappedChunks) {
if s.headChunk == nil {
return nil, false, errors.New("invalid head chunk")
}
return s.headChunk, false, nil
}
chk, err := chunkDiskMapper.Chunk(s.mmappedChunks[ix].ref)
if err != nil {
if _, ok := err.(*chunks.CorruptionErr); ok {
panic(err)
}
return nil, false, err
}
mc := s.memChunkPool.Get().(*memChunk)
mc.chunk = chk
mc.minTime = s.mmappedChunks[ix].minTime
mc.maxTime = s.mmappedChunks[ix].maxTime
return mc, true, nil
}
func (s *memSeries) chunkID(pos int) int {
return pos + s.firstChunkID
}
// truncateChunksBefore removes all chunks from the series that
// have no timestamp at or after mint.
// Chunk IDs remain unchanged.
func (s *memSeries) truncateChunksBefore(mint int64) (removed int) {
var k int
if s.headChunk != nil && s.headChunk.maxTime < mint {
// If head chunk is truncated, we can truncate all mmapped chunks.
k = 1 + len(s.mmappedChunks)
s.firstChunkID += k
s.headChunk = nil
s.mmappedChunks = nil
return k
}
if len(s.mmappedChunks) > 0 {
for i, c := range s.mmappedChunks {
if c.maxTime >= mint {
break
}
k = i + 1
}
s.mmappedChunks = append(s.mmappedChunks[:0], s.mmappedChunks[k:]...)
s.firstChunkID += k
}
return k
}
// append adds the sample (t, v) to the series. The caller also has to provide
// the appendID for isolation. (The appendID can be zero, which results in no
// isolation for this append.)
// It is unsafe to call this concurrently with s.iterator(...) without holding the series lock.
func (s *memSeries) append(t int64, v float64, appendID uint64, chunkDiskMapper *chunks.ChunkDiskMapper) (sampleInOrder, chunkCreated bool) {
// Based on Gorilla white papers this offers near-optimal compression ratio
// so anything bigger that this has diminishing returns and increases
// the time range within which we have to decompress all samples.
const samplesPerChunk = 120
c := s.head()
if c == nil {
if len(s.mmappedChunks) > 0 && s.mmappedChunks[len(s.mmappedChunks)-1].maxTime >= t {
// Out of order sample. Sample timestamp is already in the mmaped chunks, so ignore it.
return false, false
}
// There is no chunk in this series yet, create the first chunk for the sample.
c = s.cutNewHeadChunk(t, chunkDiskMapper)
chunkCreated = true
}
numSamples := c.chunk.NumSamples()
// Out of order sample.
if c.maxTime >= t {
return false, chunkCreated
}
// If we reach 25% of a chunk's desired sample count, set a definitive time
// at which to start the next chunk.
// At latest it must happen at the timestamp set when the chunk was cut.
if numSamples == samplesPerChunk/4 {
s.nextAt = computeChunkEndTime(c.minTime, c.maxTime, s.nextAt)
}
if t >= s.nextAt {
c = s.cutNewHeadChunk(t, chunkDiskMapper)
chunkCreated = true
}
s.app.Append(t, v)
c.maxTime = t
s.sampleBuf[0] = s.sampleBuf[1]
s.sampleBuf[1] = s.sampleBuf[2]
s.sampleBuf[2] = s.sampleBuf[3]
s.sampleBuf[3] = sample{t: t, v: v}
if appendID > 0 {
s.txs.add(appendID)
}
return true, chunkCreated
}
// cleanupAppendIDsBelow cleans up older appendIDs. Has to be called after
// acquiring lock.
func (s *memSeries) cleanupAppendIDsBelow(bound uint64) {
s.txs.cleanupAppendIDsBelow(bound)
}
// computeChunkEndTime estimates the end timestamp based the beginning of a
// chunk, its current timestamp and the upper bound up to which we insert data.
// It assumes that the time range is 1/4 full.
func computeChunkEndTime(start, cur, max int64) int64 {
a := (max - start) / ((cur - start + 1) * 4)
if a == 0 {
return max
}
return start + (max-start)/a
}
// iterator returns a chunk iterator.
// It is unsafe to call this concurrently with s.append(...) without holding the series lock.
func (s *memSeries) iterator(id int, isoState *isolationState, chunkDiskMapper *chunks.ChunkDiskMapper, it chunkenc.Iterator) chunkenc.Iterator {
c, garbageCollect, err := s.chunk(id, chunkDiskMapper)
// TODO(fabxc): Work around! An error will be returns when a querier have retrieved a pointer to a
// series's chunk, which got then garbage collected before it got
// accessed. We must ensure to not garbage collect as long as any
// readers still hold a reference.
if err != nil {
return chunkenc.NewNopIterator()
}
defer func() {
if garbageCollect {
// Set this to nil so that Go GC can collect it after it has been used.
// This should be done always at the end.
c.chunk = nil
s.memChunkPool.Put(c)
}
}()
ix := id - s.firstChunkID
numSamples := c.chunk.NumSamples()
stopAfter := numSamples
if isoState != nil {
totalSamples := 0 // Total samples in this series.
previousSamples := 0 // Samples before this chunk.
for j, d := range s.mmappedChunks {
totalSamples += int(d.numSamples)
if j < ix {
previousSamples += int(d.numSamples)
}
}
if s.headChunk != nil {
totalSamples += s.headChunk.chunk.NumSamples()
}
// Removing the extra transactionIDs that are relevant for samples that
// come after this chunk, from the total transactionIDs.
appendIDsToConsider := s.txs.txIDCount - (totalSamples - (previousSamples + numSamples))
// Iterate over the appendIDs, find the first one that the isolation state says not
// to return.
it := s.txs.iterator()
for index := 0; index < appendIDsToConsider; index++ {
appendID := it.At()
if appendID <= isoState.maxAppendID { // Easy check first.
if _, ok := isoState.incompleteAppends[appendID]; !ok {
it.Next()
continue
}
}
stopAfter = numSamples - (appendIDsToConsider - index)
if stopAfter < 0 {
stopAfter = 0 // Stopped in a previous chunk.
}
break
}
}
if stopAfter == 0 {
return chunkenc.NewNopIterator()
}
if id-s.firstChunkID < len(s.mmappedChunks) {
if stopAfter == numSamples {
return c.chunk.Iterator(it)
}
if msIter, ok := it.(*stopIterator); ok {
msIter.Iterator = c.chunk.Iterator(msIter.Iterator)
msIter.i = -1
msIter.stopAfter = stopAfter
return msIter
}
return &stopIterator{
Iterator: c.chunk.Iterator(it),
i: -1,
stopAfter: stopAfter,
}
}
// Serve the last 4 samples for the last chunk from the sample buffer
// as their compressed bytes may be mutated by added samples.
if msIter, ok := it.(*memSafeIterator); ok {
msIter.Iterator = c.chunk.Iterator(msIter.Iterator)
msIter.i = -1
msIter.total = numSamples
msIter.stopAfter = stopAfter
msIter.buf = s.sampleBuf
return msIter
}
return &memSafeIterator{
stopIterator: stopIterator{
Iterator: c.chunk.Iterator(it),
i: -1,
stopAfter: stopAfter,
},
total: numSamples,
buf: s.sampleBuf,
}
}
func (s *memSeries) head() *memChunk {
return s.headChunk
}
type memChunk struct {
chunk chunkenc.Chunk
minTime, maxTime int64
}
// OverlapsClosedInterval returns true if the chunk overlaps [mint, maxt].
func (mc *memChunk) OverlapsClosedInterval(mint, maxt int64) bool {
return mc.minTime <= maxt && mint <= mc.maxTime
}
type stopIterator struct {
chunkenc.Iterator
i, stopAfter int
}
func (it *stopIterator) Next() bool {
if it.i+1 >= it.stopAfter {
return false
}
it.i++
return it.Iterator.Next()
}
type memSafeIterator struct {
stopIterator
total int
buf [4]sample
}
func (it *memSafeIterator) Next() bool {
if it.i+1 >= it.stopAfter {
return false
}
it.i++
if it.total-it.i > 4 {
return it.Iterator.Next()
}
return true
}
func (it *memSafeIterator) At() (int64, float64) {
if it.total-it.i > 4 {
return it.Iterator.At()
}
s := it.buf[4-(it.total-it.i)]
return s.t, s.v
}
type mmappedChunk struct {
ref uint64
numSamples uint16
minTime, maxTime int64
}
// Returns true if the chunk overlaps [mint, maxt].
func (mc *mmappedChunk) OverlapsClosedInterval(mint, maxt int64) bool {
return mc.minTime <= maxt && mint <= mc.maxTime
}
// SeriesLifecycleCallback specifies a list of callbacks that will be called during a lifecycle of a series.
// It is always a no-op in Prometheus and mainly meant for external users who import TSDB.
// All the callbacks should be safe to be called concurrently.
// It is upto the user to implement soft or hard consistency by making the callbacks
// atomic or non-atomic. Atomic callbacks can cause degradation performance.
type SeriesLifecycleCallback interface {
// PreCreation is called before creating a series to indicate if the series can be created.
// A non nil error means the series should not be created.
PreCreation(labels.Labels) error
// PostCreation is called after creating a series to indicate a creation of series.
PostCreation(labels.Labels)
// PostDeletion is called after deletion of series.
PostDeletion(...labels.Labels)
}
type noopSeriesLifecycleCallback struct{}
func (noopSeriesLifecycleCallback) PreCreation(labels.Labels) error { return nil }
func (noopSeriesLifecycleCallback) PostCreation(labels.Labels) {}
func (noopSeriesLifecycleCallback) PostDeletion(...labels.Labels) {}