// Copyright 2014 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 local contains the local time series storage used by Prometheus. package local import ( "container/list" "fmt" "sync/atomic" "time" "github.com/prometheus/client_golang/prometheus" "github.com/prometheus/log" clientmodel "github.com/prometheus/client_golang/model" "github.com/prometheus/prometheus/storage/metric" ) const ( evictRequestsCap = 1024 chunkLen = 1024 // See waitForNextFP. fpMaxSweepTime = 6 * time.Hour fpMaxWaitDuration = 10 * time.Second // See waitForNextFP. maxEvictInterval = time.Minute // If numChunskToPersist is this percentage of maxChunksToPersist, we // consider the storage in "graceful degradation mode", i.e. we do not // checkpoint anymore based on the dirty series count, and we do not // sync series files anymore if using the adaptive sync strategy. percentChunksToPersistForDegradation = 80 ) var ( numChunksToPersistDesc = prometheus.NewDesc( prometheus.BuildFQName(namespace, subsystem, "chunks_to_persist"), "The current number of chunks waiting for persistence.", nil, nil, ) maxChunksToPersistDesc = prometheus.NewDesc( prometheus.BuildFQName(namespace, subsystem, "max_chunks_to_persist"), "The maximum number of chunks that can be waiting for persistence before sample ingestion will stop.", nil, nil, ) ) type evictRequest struct { cd *chunkDesc evict bool } // SyncStrategy is an enum to select a sync strategy for series files. type SyncStrategy int // String implements flag.Value. func (ss SyncStrategy) String() string { switch ss { case Adaptive: return "adaptive" case Always: return "always" case Never: return "never" } return "" } // Set implements flag.Value. func (ss *SyncStrategy) Set(s string) error { switch s { case "adaptive": *ss = Adaptive case "always": *ss = Always case "never": *ss = Never default: return fmt.Errorf("invalid sync strategy: %s", s) } return nil } // Possible values for SyncStrategy. const ( _ SyncStrategy = iota Never Always Adaptive ) // A syncStrategy is a function that returns whether series files should be // synced or not. It does not need to be goroutine safe. type syncStrategy func() bool type memorySeriesStorage struct { // numChunksToPersist has to be aligned for atomic operations. numChunksToPersist int64 // The number of chunks waiting for persistence. maxChunksToPersist int // If numChunksToPersist reaches this threshold, ingestion will stall. degraded bool fpLocker *fingerprintLocker fpToSeries *seriesMap options *MemorySeriesStorageOptions loopStopping, loopStopped chan struct{} maxMemoryChunks int dropAfter time.Duration checkpointInterval time.Duration checkpointDirtySeriesLimit int persistence *persistence mapper *fpMapper evictList *list.List evictRequests chan evictRequest evictStopping, evictStopped chan struct{} persistErrors prometheus.Counter numSeries prometheus.Gauge seriesOps *prometheus.CounterVec ingestedSamplesCount prometheus.Counter outOfOrderSamplesCount prometheus.Counter invalidPreloadRequestsCount prometheus.Counter maintainSeriesDuration *prometheus.SummaryVec } // MemorySeriesStorageOptions contains options needed by // NewMemorySeriesStorage. It is not safe to leave any of those at their zero // values. type MemorySeriesStorageOptions struct { MemoryChunks int // How many chunks to keep in memory. MaxChunksToPersist int // Max number of chunks waiting to be persisted. PersistenceStoragePath string // Location of persistence files. PersistenceRetentionPeriod time.Duration // Chunks at least that old are dropped. CheckpointInterval time.Duration // How often to checkpoint the series map and head chunks. CheckpointDirtySeriesLimit int // How many dirty series will trigger an early checkpoint. Dirty bool // Force the storage to consider itself dirty on startup. PedanticChecks bool // If dirty, perform crash-recovery checks on each series file. SyncStrategy SyncStrategy // Which sync strategy to apply to series files. } // NewMemorySeriesStorage returns a newly allocated Storage. Storage.Serve still // has to be called to start the storage. func NewMemorySeriesStorage(o *MemorySeriesStorageOptions) Storage { s := &memorySeriesStorage{ fpLocker: newFingerprintLocker(1024), options: o, loopStopping: make(chan struct{}), loopStopped: make(chan struct{}), maxMemoryChunks: o.MemoryChunks, dropAfter: o.PersistenceRetentionPeriod, checkpointInterval: o.CheckpointInterval, checkpointDirtySeriesLimit: o.CheckpointDirtySeriesLimit, maxChunksToPersist: o.MaxChunksToPersist, evictList: list.New(), evictRequests: make(chan evictRequest, evictRequestsCap), evictStopping: make(chan struct{}), evictStopped: make(chan struct{}), persistErrors: prometheus.NewCounter(prometheus.CounterOpts{ Namespace: namespace, Subsystem: subsystem, Name: "persist_errors_total", Help: "The total number of errors while persisting chunks.", }), numSeries: prometheus.NewGauge(prometheus.GaugeOpts{ Namespace: namespace, Subsystem: subsystem, Name: "memory_series", Help: "The current number of series in memory.", }), seriesOps: prometheus.NewCounterVec( prometheus.CounterOpts{ Namespace: namespace, Subsystem: subsystem, Name: "series_ops_total", Help: "The total number of series operations by their type.", }, []string{opTypeLabel}, ), ingestedSamplesCount: prometheus.NewCounter(prometheus.CounterOpts{ Namespace: namespace, Subsystem: subsystem, Name: "ingested_samples_total", Help: "The total number of samples ingested.", }), outOfOrderSamplesCount: prometheus.NewCounter(prometheus.CounterOpts{ Namespace: namespace, Subsystem: subsystem, Name: "out_of_order_samples_total", Help: "The total number of samples that were discarded because their timestamps were at or before the last received sample for a series.", }), invalidPreloadRequestsCount: prometheus.NewCounter(prometheus.CounterOpts{ Namespace: namespace, Subsystem: subsystem, Name: "invalid_preload_requests_total", Help: "The total number of preload requests referring to a non-existent series. This is an indication of outdated label indexes.", }), maintainSeriesDuration: prometheus.NewSummaryVec( prometheus.SummaryOpts{ Namespace: namespace, Subsystem: subsystem, Name: "maintain_series_duration_milliseconds", Help: "The duration (in milliseconds) it took to perform maintenance on a series.", }, []string{seriesLocationLabel}, ), } return s } // Start implements Storage. func (s *memorySeriesStorage) Start() (err error) { var syncStrategy syncStrategy switch s.options.SyncStrategy { case Never: syncStrategy = func() bool { return false } case Always: syncStrategy = func() bool { return true } case Adaptive: syncStrategy = func() bool { return !s.isDegraded() } default: panic("unknown sync strategy") } var p *persistence p, err = newPersistence(s.options.PersistenceStoragePath, s.options.Dirty, s.options.PedanticChecks, syncStrategy) if err != nil { return err } s.persistence = p // Persistence must start running before loadSeriesMapAndHeads() is called. go s.persistence.run() defer func() { if err != nil { if e := p.close(); e != nil { log.Errorln("Error closing persistence:", e) } } }() log.Info("Loading series map and head chunks...") s.fpToSeries, s.numChunksToPersist, err = p.loadSeriesMapAndHeads() if err != nil { return err } log.Infof("%d series loaded.", s.fpToSeries.length()) s.numSeries.Set(float64(s.fpToSeries.length())) s.mapper, err = newFPMapper(s.fpToSeries, p) if err != nil { return err } go s.handleEvictList() go s.loop() return nil } // Stop implements Storage. func (s *memorySeriesStorage) Stop() error { log.Info("Stopping local storage...") log.Info("Stopping maintenance loop...") close(s.loopStopping) <-s.loopStopped log.Info("Stopping chunk eviction...") close(s.evictStopping) <-s.evictStopped // One final checkpoint of the series map and the head chunks. if err := s.persistence.checkpointSeriesMapAndHeads(s.fpToSeries, s.fpLocker); err != nil { return err } if err := s.persistence.close(); err != nil { return err } log.Info("Local storage stopped.") return nil } // WaitForIndexing implements Storage. func (s *memorySeriesStorage) WaitForIndexing() { s.persistence.waitForIndexing() } // NewIterator implements Storage. func (s *memorySeriesStorage) NewIterator(fp clientmodel.Fingerprint) SeriesIterator { s.fpLocker.Lock(fp) defer s.fpLocker.Unlock(fp) series, ok := s.fpToSeries.get(fp) if !ok { // Oops, no series for fp found. That happens if, after // preloading is done, the whole series is identified as old // enough for purging and hence purged for good. As there is no // data left to iterate over, return an iterator that will never // return any values. return nopSeriesIterator{} } return &boundedIterator{ it: series.newIterator(), start: clientmodel.Now().Add(-s.dropAfter), } } // LastSampleForFingerprint implements Storage. func (s *memorySeriesStorage) LastSamplePairForFingerprint(fp clientmodel.Fingerprint) *metric.SamplePair { s.fpLocker.Lock(fp) defer s.fpLocker.Unlock(fp) series, ok := s.fpToSeries.get(fp) if !ok { return nil } return series.head().lastSamplePair() } // boundedIterator wraps a SeriesIterator and does not allow fetching // data from earlier than the configured start time. type boundedIterator struct { it SeriesIterator start clientmodel.Timestamp } // ValueAtTime implements the SeriesIterator interface. func (bit *boundedIterator) ValueAtTime(ts clientmodel.Timestamp) metric.Values { if ts < bit.start { return metric.Values{} } return bit.it.ValueAtTime(ts) } // BoundaryValues implements the SeriesIterator interface. func (bit *boundedIterator) BoundaryValues(interval metric.Interval) metric.Values { if interval.NewestInclusive < bit.start { return metric.Values{} } if interval.OldestInclusive < bit.start { interval.OldestInclusive = bit.start } return bit.it.BoundaryValues(interval) } // RangeValues implements the SeriesIterator interface. func (bit *boundedIterator) RangeValues(interval metric.Interval) metric.Values { if interval.NewestInclusive < bit.start { return metric.Values{} } if interval.OldestInclusive < bit.start { interval.OldestInclusive = bit.start } return bit.it.RangeValues(interval) } // NewPreloader implements Storage. func (s *memorySeriesStorage) NewPreloader() Preloader { return &memorySeriesPreloader{ storage: s, } } // fingerprintsForLabelPairs returns the set of fingerprints that have the given labels. // This does not work with empty label values. func (s *memorySeriesStorage) fingerprintsForLabelPairs(pairs ...metric.LabelPair) map[clientmodel.Fingerprint]struct{} { var result map[clientmodel.Fingerprint]struct{} for _, pair := range pairs { intersection := map[clientmodel.Fingerprint]struct{}{} fps, err := s.persistence.fingerprintsForLabelPair(pair) if err != nil { log.Error("Error getting fingerprints for label pair: ", err) } if len(fps) == 0 { return nil } for _, fp := range fps { if _, ok := result[fp]; ok || result == nil { intersection[fp] = struct{}{} } } if len(intersection) == 0 { return nil } result = intersection } return result } // MetricsForLabelMatchers implements Storage. func (s *memorySeriesStorage) MetricsForLabelMatchers(matchers ...*metric.LabelMatcher) map[clientmodel.Fingerprint]clientmodel.COWMetric { var ( equals []metric.LabelPair filters []*metric.LabelMatcher ) for _, lm := range matchers { if lm.Type == metric.Equal && lm.Value != "" { equals = append(equals, metric.LabelPair{ Name: lm.Name, Value: lm.Value, }) } else { filters = append(filters, lm) } } var resFPs map[clientmodel.Fingerprint]struct{} // If we cannot make a preselection based on equality matchers, expanding the other matchers to labels // and intersecting their fingerprints is still likely to be the best choice. if len(equals) > 0 { resFPs = s.fingerprintsForLabelPairs(equals...) } var remaining metric.LabelMatchers for _, matcher := range filters { // Equal matches are all empty values. if matcher.Match("") { remaining = append(remaining, matcher) continue } intersection := map[clientmodel.Fingerprint]struct{}{} matches := matcher.Filter(s.LabelValuesForLabelName(matcher.Name)) if len(matches) == 0 { return nil } for _, v := range matches { fps := s.fingerprintsForLabelPairs(metric.LabelPair{ Name: matcher.Name, Value: v, }) for fp := range fps { if _, ok := resFPs[fp]; ok || resFPs == nil { intersection[fp] = struct{}{} } } } resFPs = intersection } // The intersected matchers no longer need to be compared against the actual metrics. filters = remaining result := make(map[clientmodel.Fingerprint]clientmodel.COWMetric, len(resFPs)) for fp := range resFPs { result[fp] = s.MetricForFingerprint(fp) } for _, matcher := range filters { for fp, met := range result { if !matcher.Match(met.Metric[matcher.Name]) { delete(result, fp) } } } return result } // LabelValuesForLabelName implements Storage. func (s *memorySeriesStorage) LabelValuesForLabelName(labelName clientmodel.LabelName) clientmodel.LabelValues { lvs, err := s.persistence.labelValuesForLabelName(labelName) if err != nil { log.Errorf("Error getting label values for label name %q: %v", labelName, err) } return lvs } // MetricForFingerprint implements Storage. func (s *memorySeriesStorage) MetricForFingerprint(fp clientmodel.Fingerprint) clientmodel.COWMetric { s.fpLocker.Lock(fp) defer s.fpLocker.Unlock(fp) series, ok := s.fpToSeries.get(fp) if ok { // Wrap the returned metric in a copy-on-write (COW) metric here because // the caller might mutate it. return clientmodel.COWMetric{ Metric: series.metric, } } metric, err := s.persistence.archivedMetric(fp) if err != nil { log.Errorf("Error retrieving archived metric for fingerprint %v: %v", fp, err) } return clientmodel.COWMetric{ Metric: metric, } } // DropMetric implements Storage. func (s *memorySeriesStorage) DropMetricsForFingerprints(fps ...clientmodel.Fingerprint) { for _, fp := range fps { s.fpLocker.Lock(fp) if series, ok := s.fpToSeries.get(fp); ok { s.fpToSeries.del(fp) s.numSeries.Dec() s.persistence.unindexMetric(fp, series.metric) if _, err := s.persistence.deleteSeriesFile(fp); err != nil { log.Errorf("Error deleting series file for %v: %v", fp, err) } } else if err := s.persistence.purgeArchivedMetric(fp); err != nil { log.Errorf("Error purging metric with fingerprint %v: %v", fp, err) } s.fpLocker.Unlock(fp) } } // Append implements Storage. func (s *memorySeriesStorage) Append(sample *clientmodel.Sample) { for ln, lv := range sample.Metric { if len(lv) == 0 { delete(sample.Metric, ln) } } if s.getNumChunksToPersist() >= s.maxChunksToPersist { log.Warnf( "%d chunks waiting for persistence, sample ingestion suspended.", s.getNumChunksToPersist(), ) for s.getNumChunksToPersist() >= s.maxChunksToPersist { time.Sleep(time.Second) } log.Warn("Sample ingestion resumed.") } rawFP := sample.Metric.FastFingerprint() s.fpLocker.Lock(rawFP) fp, err := s.mapper.mapFP(rawFP, sample.Metric) if err != nil { log.Errorf("Error while mapping fingerprint %v: %v", rawFP, err) s.persistence.setDirty(true) } if fp != rawFP { // Switch locks. s.fpLocker.Unlock(rawFP) s.fpLocker.Lock(fp) } series := s.getOrCreateSeries(fp, sample.Metric) if sample.Timestamp <= series.lastTime { s.fpLocker.Unlock(fp) log.Warnf("Ignoring sample with out-of-order timestamp for fingerprint %v (%v): %v is not after %v", fp, series.metric, sample.Timestamp, series.lastTime) s.outOfOrderSamplesCount.Inc() return } completedChunksCount := series.add(&metric.SamplePair{ Value: sample.Value, Timestamp: sample.Timestamp, }) s.fpLocker.Unlock(fp) s.ingestedSamplesCount.Inc() s.incNumChunksToPersist(completedChunksCount) } func (s *memorySeriesStorage) getOrCreateSeries(fp clientmodel.Fingerprint, m clientmodel.Metric) *memorySeries { series, ok := s.fpToSeries.get(fp) if !ok { var cds []*chunkDesc var modTime time.Time unarchived, err := s.persistence.unarchiveMetric(fp) if err != nil { log.Errorf("Error unarchiving fingerprint %v (metric %v): %v", fp, m, err) } if unarchived { s.seriesOps.WithLabelValues(unarchive).Inc() // We have to load chunkDescs anyway to do anything with // the series, so let's do it right now so that we don't // end up with a series without any chunkDescs for a // while (which is confusing as it makes the series // appear as archived or purged). cds, err = s.loadChunkDescs(fp, 0) if err != nil { log.Errorf("Error loading chunk descs for fingerprint %v (metric %v): %v", fp, m, err) } modTime = s.persistence.seriesFileModTime(fp) } else { // This was a genuinely new series, so index the metric. s.persistence.indexMetric(fp, m) s.seriesOps.WithLabelValues(create).Inc() } series = newMemorySeries(m, cds, modTime) s.fpToSeries.put(fp, series) s.numSeries.Inc() } return series } func (s *memorySeriesStorage) preloadChunksForRange( fp clientmodel.Fingerprint, from clientmodel.Timestamp, through clientmodel.Timestamp, stalenessDelta time.Duration, ) ([]*chunkDesc, error) { s.fpLocker.Lock(fp) defer s.fpLocker.Unlock(fp) series, ok := s.fpToSeries.get(fp) if !ok { has, first, last, err := s.persistence.hasArchivedMetric(fp) if err != nil { return nil, err } if !has { s.invalidPreloadRequestsCount.Inc() return nil, nil } if from.Add(-stalenessDelta).Before(last) && through.Add(stalenessDelta).After(first) { metric, err := s.persistence.archivedMetric(fp) if err != nil { return nil, err } series = s.getOrCreateSeries(fp, metric) } else { return nil, nil } } return series.preloadChunksForRange(from, through, fp, s) } func (s *memorySeriesStorage) handleEvictList() { ticker := time.NewTicker(maxEvictInterval) count := 0 for { // To batch up evictions a bit, this tries evictions at least // once per evict interval, but earlier if the number of evict // requests with evict==true that have happened since the last // evict run is more than maxMemoryChunks/1000. select { case req := <-s.evictRequests: if req.evict { req.cd.evictListElement = s.evictList.PushBack(req.cd) count++ if count > s.maxMemoryChunks/1000 { s.maybeEvict() count = 0 } } else { if req.cd.evictListElement != nil { s.evictList.Remove(req.cd.evictListElement) req.cd.evictListElement = nil } } case <-ticker.C: if s.evictList.Len() > 0 { s.maybeEvict() } case <-s.evictStopping: // Drain evictRequests forever in a goroutine to not let // requesters hang. go func() { for { <-s.evictRequests } }() ticker.Stop() log.Info("Chunk eviction stopped.") close(s.evictStopped) return } } } // maybeEvict is a local helper method. Must only be called by handleEvictList. func (s *memorySeriesStorage) maybeEvict() { numChunksToEvict := int(atomic.LoadInt64(&numMemChunks)) - s.maxMemoryChunks if numChunksToEvict <= 0 { return } chunkDescsToEvict := make([]*chunkDesc, numChunksToEvict) for i := range chunkDescsToEvict { e := s.evictList.Front() if e == nil { break } cd := e.Value.(*chunkDesc) cd.evictListElement = nil chunkDescsToEvict[i] = cd s.evictList.Remove(e) } // Do the actual eviction in a goroutine as we might otherwise deadlock, // in the following way: A chunk was unpinned completely and therefore // scheduled for eviction. At the time we actually try to evict it, // another goroutine is pinning the chunk. The pinning goroutine has // currently locked the chunk and tries to send the evict request (to // remove the chunk from the evict list) to the evictRequests // channel. The send blocks because evictRequests is full. However, the // goroutine that is supposed to empty the channel is waiting for the // chunkDesc lock to try to evict the chunk. go func() { for _, cd := range chunkDescsToEvict { if cd == nil { break } cd.maybeEvict() // We don't care if the eviction succeeds. If the chunk // was pinned in the meantime, it will be added to the // evict list once it gets unpinned again. } }() } // waitForNextFP waits an estimated duration, after which we want to process // another fingerprint so that we will process all fingerprints in a tenth of // s.dropAfter assuming that the system is doing nothing else, e.g. if we want // to drop chunks after 40h, we want to cycle through all fingerprints within // 4h. The estimation is based on the total number of fingerprints as passed // in. However, the maximum sweep time is capped at fpMaxSweepTime. Also, the // method will never wait for longer than fpMaxWaitDuration. // // The maxWaitDurationFactor can be used to reduce the waiting time if a faster // processing is required (for example because unpersisted chunks pile up too // much). // // Normally, the method returns true once the wait duration has passed. However, // if s.loopStopped is closed, it will return false immediately. func (s *memorySeriesStorage) waitForNextFP(numberOfFPs int, maxWaitDurationFactor float64) bool { d := fpMaxWaitDuration if numberOfFPs != 0 { sweepTime := s.dropAfter / 10 if sweepTime > fpMaxSweepTime { sweepTime = fpMaxSweepTime } calculatedWait := time.Duration(float64(sweepTime) / float64(numberOfFPs) * maxWaitDurationFactor) if calculatedWait < d { d = calculatedWait } } if d == 0 { return true } t := time.NewTimer(d) select { case <-t.C: return true case <-s.loopStopping: return false } } // cycleThroughMemoryFingerprints returns a channel that emits fingerprints for // series in memory in a throttled fashion. It continues to cycle through all // fingerprints in memory until s.loopStopping is closed. func (s *memorySeriesStorage) cycleThroughMemoryFingerprints() chan clientmodel.Fingerprint { memoryFingerprints := make(chan clientmodel.Fingerprint) go func() { var fpIter <-chan clientmodel.Fingerprint defer func() { if fpIter != nil { for range fpIter { // Consume the iterator. } } close(memoryFingerprints) }() for { // Initial wait, also important if there are no FPs yet. if !s.waitForNextFP(s.fpToSeries.length(), 1) { return } begin := time.Now() fpIter = s.fpToSeries.fpIter() count := 0 for fp := range fpIter { select { case memoryFingerprints <- fp: case <-s.loopStopping: return } // Reduce the wait time by the backlog score. s.waitForNextFP(s.fpToSeries.length(), s.persistenceBacklogScore()) count++ } if count > 0 { log.Infof( "Completed maintenance sweep through %d in-memory fingerprints in %v.", count, time.Since(begin), ) } } }() return memoryFingerprints } // cycleThroughArchivedFingerprints returns a channel that emits fingerprints // for archived series in a throttled fashion. It continues to cycle through all // archived fingerprints until s.loopStopping is closed. func (s *memorySeriesStorage) cycleThroughArchivedFingerprints() chan clientmodel.Fingerprint { archivedFingerprints := make(chan clientmodel.Fingerprint) go func() { defer close(archivedFingerprints) for { archivedFPs, err := s.persistence.fingerprintsModifiedBefore( clientmodel.Now().Add(-s.dropAfter), ) if err != nil { log.Error("Failed to lookup archived fingerprint ranges: ", err) s.waitForNextFP(0, 1) continue } // Initial wait, also important if there are no FPs yet. if !s.waitForNextFP(len(archivedFPs), 1) { return } begin := time.Now() for _, fp := range archivedFPs { select { case archivedFingerprints <- fp: case <-s.loopStopping: return } // Never speed up maintenance of archived FPs. s.waitForNextFP(len(archivedFPs), 1) } if len(archivedFPs) > 0 { log.Infof( "Completed maintenance sweep through %d archived fingerprints in %v.", len(archivedFPs), time.Since(begin), ) } } }() return archivedFingerprints } func (s *memorySeriesStorage) loop() { checkpointTimer := time.NewTimer(s.checkpointInterval) dirtySeriesCount := 0 defer func() { checkpointTimer.Stop() log.Info("Maintenance loop stopped.") close(s.loopStopped) }() memoryFingerprints := s.cycleThroughMemoryFingerprints() archivedFingerprints := s.cycleThroughArchivedFingerprints() loop: for { select { case <-s.loopStopping: break loop case <-checkpointTimer.C: s.persistence.checkpointSeriesMapAndHeads(s.fpToSeries, s.fpLocker) dirtySeriesCount = 0 checkpointTimer.Reset(s.checkpointInterval) case fp := <-memoryFingerprints: if s.maintainMemorySeries(fp, clientmodel.Now().Add(-s.dropAfter)) { dirtySeriesCount++ // Check if we have enough "dirty" series so that we need an early checkpoint. // However, if we are already behind persisting chunks, creating a checkpoint // would be counterproductive, as it would slow down chunk persisting even more, // while in a situation like that, where we are clearly lacking speed of disk // maintenance, the best we can do for crash recovery is to persist chunks as // quickly as possible. So only checkpoint if the storage is not in "graceful // degratadion mode". if dirtySeriesCount >= s.checkpointDirtySeriesLimit && !s.isDegraded() { checkpointTimer.Reset(0) } } case fp := <-archivedFingerprints: s.maintainArchivedSeries(fp, clientmodel.Now().Add(-s.dropAfter)) } } // Wait until both channels are closed. for range memoryFingerprints { } for range archivedFingerprints { } } // maintainMemorySeries maintains a series that is in memory (i.e. not // archived). It returns true if the method has changed from clean to dirty // (i.e. it is inconsistent with the latest checkpoint now so that in case of a // crash a recovery operation that requires a disk seek needed to be applied). // // The method first closes the head chunk if it was not touched for the duration // of headChunkTimeout. // // Then it determines the chunks that need to be purged and the chunks that need // to be persisted. Depending on the result, it does the following: // // - If all chunks of a series need to be purged, the whole series is deleted // for good and the method returns false. (Detecting non-existence of a series // file does not require a disk seek.) // // - If any chunks need to be purged (but not all of them), it purges those // chunks from memory and rewrites the series file on disk, leaving out the // purged chunks and appending all chunks not yet persisted (with the exception // of a still open head chunk). // // - If no chunks on disk need to be purged, but chunks need to be persisted, // those chunks are simply appended to the existing series file (or the file is // created if it does not exist yet). // // - If no chunks need to be purged and no chunks need to be persisted, nothing // happens in this step. // // Next, the method checks if all chunks in the series are evicted. In that // case, it archives the series and returns true. // // Finally, it evicts chunkDescs if there are too many. func (s *memorySeriesStorage) maintainMemorySeries( fp clientmodel.Fingerprint, beforeTime clientmodel.Timestamp, ) (becameDirty bool) { defer func(begin time.Time) { s.maintainSeriesDuration.WithLabelValues(maintainInMemory).Observe( float64(time.Since(begin)) / float64(time.Millisecond), ) }(time.Now()) s.fpLocker.Lock(fp) defer s.fpLocker.Unlock(fp) series, ok := s.fpToSeries.get(fp) if !ok { // Series is actually not in memory, perhaps archived or dropped in the meantime. return false } defer s.seriesOps.WithLabelValues(memoryMaintenance).Inc() if series.maybeCloseHeadChunk() { s.incNumChunksToPersist(1) } seriesWasDirty := series.dirty if s.writeMemorySeries(fp, series, beforeTime) { // Series is gone now, we are done. return false } iOldestNotEvicted := -1 for i, cd := range series.chunkDescs { if !cd.isEvicted() { iOldestNotEvicted = i break } } // Archive if all chunks are evicted. if iOldestNotEvicted == -1 { s.fpToSeries.del(fp) s.numSeries.Dec() if err := s.persistence.archiveMetric( fp, series.metric, series.firstTime(), series.lastTime, ); err != nil { log.Errorf("Error archiving metric %v: %v", series.metric, err) return } s.seriesOps.WithLabelValues(archive).Inc() return } // If we are here, the series is not archived, so check for chunkDesc // eviction next. series.evictChunkDescs(iOldestNotEvicted) return series.dirty && !seriesWasDirty } // writeMemorySeries (re-)writes a memory series file. While doing so, it drops // chunks older than beforeTime from both the series file (if it exists) as well // as from memory. The provided chunksToPersist are appended to the newly // written series file. If no chunks need to be purged, but chunksToPersist is // not empty, those chunks are simply appended to the series file. If the series // contains no chunks after dropping old chunks, it is purged entirely. In that // case, the method returns true. // // The caller must have locked the fp. func (s *memorySeriesStorage) writeMemorySeries( fp clientmodel.Fingerprint, series *memorySeries, beforeTime clientmodel.Timestamp, ) bool { cds := series.chunksToPersist() defer func() { for _, cd := range cds { cd.unpin(s.evictRequests) } s.incNumChunksToPersist(-len(cds)) chunkOps.WithLabelValues(persistAndUnpin).Add(float64(len(cds))) series.modTime = s.persistence.seriesFileModTime(fp) }() // Get the actual chunks from underneath the chunkDescs. // No lock required as chunks still to persist cannot be evicted. chunks := make([]chunk, len(cds)) for i, cd := range cds { chunks[i] = cd.c } if !series.firstTime().Before(beforeTime) { // Oldest sample not old enough, just append chunks, if any. if len(cds) == 0 { return false } offset, err := s.persistence.persistChunks(fp, chunks) if err != nil { s.persistErrors.Inc() return false } if series.chunkDescsOffset == -1 { // This is the first chunk persisted for a newly created // series that had prior chunks on disk. Finally, we can // set the chunkDescsOffset. series.chunkDescsOffset = offset } return false } newFirstTime, offset, numDroppedFromPersistence, allDroppedFromPersistence, err := s.persistence.dropAndPersistChunks(fp, beforeTime, chunks) if err != nil { s.persistErrors.Inc() return false } series.dropChunks(beforeTime) if len(series.chunkDescs) == 0 && allDroppedFromPersistence { // All chunks dropped from both memory and persistence. Delete the series for good. s.fpToSeries.del(fp) s.numSeries.Dec() s.seriesOps.WithLabelValues(memoryPurge).Inc() s.persistence.unindexMetric(fp, series.metric) return true } series.savedFirstTime = newFirstTime if series.chunkDescsOffset == -1 { series.chunkDescsOffset = offset } else { series.chunkDescsOffset -= numDroppedFromPersistence if series.chunkDescsOffset < 0 { log.Errorf("Dropped more chunks from persistence than from memory for fingerprint %v, series %v.", fp, series) s.persistence.setDirty(true) series.chunkDescsOffset = -1 // Makes sure it will be looked at during crash recovery. } } return false } // maintainArchivedSeries drops chunks older than beforeTime from an archived // series. If the series contains no chunks after that, it is purged entirely. func (s *memorySeriesStorage) maintainArchivedSeries(fp clientmodel.Fingerprint, beforeTime clientmodel.Timestamp) { defer func(begin time.Time) { s.maintainSeriesDuration.WithLabelValues(maintainArchived).Observe( float64(time.Since(begin)) / float64(time.Millisecond), ) }(time.Now()) s.fpLocker.Lock(fp) defer s.fpLocker.Unlock(fp) has, firstTime, lastTime, err := s.persistence.hasArchivedMetric(fp) if err != nil { log.Error("Error looking up archived time range: ", err) return } if !has || !firstTime.Before(beforeTime) { // Oldest sample not old enough, or metric purged or unarchived in the meantime. return } defer s.seriesOps.WithLabelValues(archiveMaintenance).Inc() newFirstTime, _, _, allDropped, err := s.persistence.dropAndPersistChunks(fp, beforeTime, nil) if err != nil { log.Error("Error dropping persisted chunks: ", err) } if allDropped { if err := s.persistence.purgeArchivedMetric(fp); err != nil { log.Errorf("Error purging archived metric for fingerprint %v: %v", fp, err) return } s.seriesOps.WithLabelValues(archivePurge).Inc() return } s.persistence.updateArchivedTimeRange(fp, newFirstTime, lastTime) } // See persistence.loadChunks for detailed explanation. func (s *memorySeriesStorage) loadChunks(fp clientmodel.Fingerprint, indexes []int, indexOffset int) ([]chunk, error) { return s.persistence.loadChunks(fp, indexes, indexOffset) } // See persistence.loadChunkDescs for detailed explanation. func (s *memorySeriesStorage) loadChunkDescs(fp clientmodel.Fingerprint, offsetFromEnd int) ([]*chunkDesc, error) { return s.persistence.loadChunkDescs(fp, offsetFromEnd) } // getNumChunksToPersist returns numChunksToPersist in a goroutine-safe way. func (s *memorySeriesStorage) getNumChunksToPersist() int { return int(atomic.LoadInt64(&s.numChunksToPersist)) } // incNumChunksToPersist increments numChunksToPersist in a goroutine-safe way. Use a // negative 'by' to decrement. func (s *memorySeriesStorage) incNumChunksToPersist(by int) { atomic.AddInt64(&s.numChunksToPersist, int64(by)) } // isDegraded returns whether the storage is in "graceful degradation mode", // which is the case if the number of chunks waiting for persistence has reached // a percentage of maxChunksToPersist that exceeds // percentChunksToPersistForDegradation. The method is not goroutine safe (but // only ever called from the goroutine dealing with series maintenance). // Changes of degradation mode are logged. func (s *memorySeriesStorage) isDegraded() bool { nowDegraded := s.getNumChunksToPersist() > s.maxChunksToPersist*percentChunksToPersistForDegradation/100 if s.degraded && !nowDegraded { log.Warn("Storage has left graceful degradation mode. Things are back to normal.") } else if !s.degraded && nowDegraded { log.Warnf( "%d chunks waiting for persistence (%d%% of the allowed maximum %d). Storage is now in graceful degradation mode. Series files are not synced anymore if following the adaptive strategy. Checkpoints are not performed more often than every %v. Series maintenance happens as frequently as possible.", s.getNumChunksToPersist(), s.getNumChunksToPersist()*100/s.maxChunksToPersist, s.maxChunksToPersist, s.checkpointInterval) } s.degraded = nowDegraded return s.degraded } // persistenceBacklogScore works similar to isDegraded, but returns a score // about how close we are to degradation. This score is 1.0 if no chunks are // waiting for persistence and 0.0 if we are at or above the degradation // threshold. func (s *memorySeriesStorage) persistenceBacklogScore() float64 { score := 1 - float64(s.getNumChunksToPersist())/float64(s.maxChunksToPersist*percentChunksToPersistForDegradation/100) if score < 0 { return 0 } return score } // Describe implements prometheus.Collector. func (s *memorySeriesStorage) Describe(ch chan<- *prometheus.Desc) { s.persistence.Describe(ch) s.mapper.Describe(ch) ch <- s.persistErrors.Desc() ch <- maxChunksToPersistDesc ch <- numChunksToPersistDesc ch <- s.numSeries.Desc() s.seriesOps.Describe(ch) ch <- s.ingestedSamplesCount.Desc() ch <- s.outOfOrderSamplesCount.Desc() ch <- s.invalidPreloadRequestsCount.Desc() ch <- numMemChunksDesc s.maintainSeriesDuration.Describe(ch) } // Collect implements prometheus.Collector. func (s *memorySeriesStorage) Collect(ch chan<- prometheus.Metric) { s.persistence.Collect(ch) s.mapper.Collect(ch) ch <- s.persistErrors ch <- prometheus.MustNewConstMetric( maxChunksToPersistDesc, prometheus.GaugeValue, float64(s.maxChunksToPersist), ) ch <- prometheus.MustNewConstMetric( numChunksToPersistDesc, prometheus.GaugeValue, float64(s.getNumChunksToPersist()), ) ch <- s.numSeries s.seriesOps.Collect(ch) ch <- s.ingestedSamplesCount ch <- s.outOfOrderSamplesCount ch <- s.invalidPreloadRequestsCount ch <- prometheus.MustNewConstMetric( numMemChunksDesc, prometheus.GaugeValue, float64(atomic.LoadInt64(&numMemChunks)), ) s.maintainSeriesDuration.Collect(ch) }