// Copyright 2013 Prometheus Team // 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 metric import ( "fmt" "os" "sort" "sync" "time" "github.com/golang/glog" "github.com/prometheus/client_golang/prometheus" clientmodel "github.com/prometheus/client_golang/model" "github.com/prometheus/prometheus/stats" "github.com/prometheus/prometheus/storage/raw/leveldb" "github.com/prometheus/prometheus/utility" ) type chunk Values // TruncateBefore returns a subslice of the original such that extraneous // samples in the collection that occur before the provided time are // dropped. The original slice is not mutated. It works with the assumption // that consumers of these values could want preceding values if none would // exist prior to the defined time. func (c chunk) TruncateBefore(t clientmodel.Timestamp) chunk { index := sort.Search(len(c), func(i int) bool { timestamp := c[i].Timestamp return !timestamp.Before(t) }) switch index { case 0: return c case len(c): return c[len(c)-1:] default: return c[index-1:] } } type tieredStorageState uint const ( tieredStorageStarting tieredStorageState = iota tieredStorageServing tieredStorageDraining tieredStorageStopping ) // Ignore timeseries in queries that are more stale than this limit. const stalenessLimit = time.Minute * 5 // TieredStorage both persists samples and generates materialized views for // queries. type TieredStorage struct { // mu is purely used for state transitions. mu sync.RWMutex // BUG(matt): This introduces a Law of Demeter violation. Ugh. DiskStorage *LevelDBMetricPersistence appendToDiskQueue chan clientmodel.Samples memoryArena *memorySeriesStorage memoryTTL time.Duration flushMemoryInterval time.Duration ViewQueue chan viewJob draining chan chan<- bool state tieredStorageState memorySemaphore chan bool wmCache *watermarkCache Indexer MetricIndexer flushSema chan bool dtoSampleKeys *dtoSampleKeyList sampleKeys *sampleKeyList } // viewJob encapsulates a request to extract sample values from the datastore. type viewJob struct { builder ViewRequestBuilder output chan View abort chan bool err chan error stats *stats.TimerGroup } const ( tieredMemorySemaphores = 5 ) const watermarkCacheLimit = 1024 * 1024 // NewTieredStorage returns a TieredStorage object ready to use. func NewTieredStorage( appendToDiskQueueDepth, viewQueueDepth uint, flushMemoryInterval time.Duration, memoryTTL time.Duration, rootDirectory string, ) (*TieredStorage, error) { if isDir, _ := utility.IsDir(rootDirectory); !isDir { if err := os.MkdirAll(rootDirectory, 0755); err != nil { return nil, fmt.Errorf("could not find or create metrics directory %s: %s", rootDirectory, err) } } diskStorage, err := NewLevelDBMetricPersistence(rootDirectory) if err != nil { return nil, err } wmCache := &watermarkCache{ C: utility.NewSynchronizedCache(utility.NewLRUCache(watermarkCacheLimit)), } memOptions := MemorySeriesOptions{ WatermarkCache: wmCache, } s := &TieredStorage{ appendToDiskQueue: make(chan clientmodel.Samples, appendToDiskQueueDepth), DiskStorage: diskStorage, draining: make(chan chan<- bool), flushMemoryInterval: flushMemoryInterval, memoryArena: NewMemorySeriesStorage(memOptions), memoryTTL: memoryTTL, ViewQueue: make(chan viewJob, viewQueueDepth), memorySemaphore: make(chan bool, tieredMemorySemaphores), wmCache: wmCache, flushSema: make(chan bool, 1), dtoSampleKeys: newDtoSampleKeyList(10), sampleKeys: newSampleKeyList(10), } for i := 0; i < tieredMemorySemaphores; i++ { s.memorySemaphore <- true } return s, nil } // AppendSamples enqueues Samples for storage. func (t *TieredStorage) AppendSamples(samples clientmodel.Samples) (err error) { t.mu.RLock() defer t.mu.RUnlock() if t.state != tieredStorageServing { return fmt.Errorf("storage is not serving") } t.memoryArena.AppendSamples(samples) storedSamplesCount.IncrementBy(prometheus.NilLabels, float64(len(samples))) return } // Drain stops the storage subsystem, flushing all pending operations. func (t *TieredStorage) Drain(drained chan<- bool) { t.mu.Lock() defer t.mu.Unlock() t.drain(drained) } func (t *TieredStorage) drain(drained chan<- bool) { if t.state >= tieredStorageDraining { panic("Illegal State: Supplemental drain requested.") } t.state = tieredStorageDraining glog.Info("Triggering drain...") t.draining <- (drained) } // MakeView materializes a View according to a ViewRequestBuilder, subject to a // timeout. func (t *TieredStorage) MakeView(builder ViewRequestBuilder, deadline time.Duration, queryStats *stats.TimerGroup) (View, error) { t.mu.RLock() defer t.mu.RUnlock() if t.state != tieredStorageServing { return nil, fmt.Errorf("storage is not serving") } // The result channel needs a one-element buffer in case we have timed // out in MakeView, but the view rendering still completes afterwards // and writes to the channel. result := make(chan View, 1) // The abort channel needs a one-element buffer in case the view // rendering has already exited and doesn't consume from the channel // anymore. abortChan := make(chan bool, 1) errChan := make(chan error) queryStats.GetTimer(stats.ViewQueueTime).Start() t.ViewQueue <- viewJob{ builder: builder, output: result, abort: abortChan, err: errChan, stats: queryStats, } select { case view := <-result: return view, nil case err := <-errChan: return nil, err case <-time.After(deadline): abortChan <- true return nil, fmt.Errorf("fetching query data timed out after %s", deadline) } } // Serve starts serving requests. func (t *TieredStorage) Serve(started chan<- bool) { t.mu.Lock() if t.state != tieredStorageStarting { panic("Illegal State: Attempted to restart TieredStorage.") } t.state = tieredStorageServing t.mu.Unlock() flushMemoryTicker := time.NewTicker(t.flushMemoryInterval) defer flushMemoryTicker.Stop() queueReportTicker := time.NewTicker(time.Second) defer queueReportTicker.Stop() go func() { for _ = range queueReportTicker.C { t.reportQueues() } }() started <- true for { select { case <-flushMemoryTicker.C: select { case t.flushSema <- true: go func() { t.flushMemory(t.memoryTTL) <-t.flushSema }() default: glog.Warning("Backlogging on flush...") } case viewRequest := <-t.ViewQueue: <-t.memorySemaphore viewRequest.stats.GetTimer(stats.ViewQueueTime).Stop() go t.renderView(viewRequest) case drainingDone := <-t.draining: t.Flush() drainingDone <- true return } } } func (t *TieredStorage) reportQueues() { queueSizes.Set(map[string]string{"queue": "append_to_disk", "facet": "occupancy"}, float64(len(t.appendToDiskQueue))) queueSizes.Set(map[string]string{"queue": "append_to_disk", "facet": "capacity"}, float64(cap(t.appendToDiskQueue))) queueSizes.Set(map[string]string{"queue": "view_generation", "facet": "occupancy"}, float64(len(t.ViewQueue))) queueSizes.Set(map[string]string{"queue": "view_generation", "facet": "capacity"}, float64(cap(t.ViewQueue))) } // Flush flushes all samples to disk. func (t *TieredStorage) Flush() { t.flushSema <- true t.flushMemory(0) <-t.flushSema } func (t *TieredStorage) flushMemory(ttl time.Duration) { flushOlderThan := clientmodel.Now().Add(-1 * ttl) glog.Info("Flushing samples to disk...") t.memoryArena.Flush(flushOlderThan, t.appendToDiskQueue) queueLength := len(t.appendToDiskQueue) if queueLength > 0 { samples := clientmodel.Samples{} for i := 0; i < queueLength; i++ { chunk := <-t.appendToDiskQueue samples = append(samples, chunk...) } glog.Infof("Writing %d samples...", len(samples)) t.DiskStorage.AppendSamples(samples) } glog.Info("Done flushing.") } // Close stops serving, flushes all pending operations, and frees all resources. func (t *TieredStorage) Close() { t.mu.Lock() defer t.mu.Unlock() t.close() } func (t *TieredStorage) close() { if t.state == tieredStorageStopping { panic("Illegal State: Attempted to restop TieredStorage.") } drained := make(chan bool) t.drain(drained) <-drained t.memoryArena.Close() t.DiskStorage.Close() // BUG(matt): There is a probability that pending items may hang here // and not get flushed. close(t.appendToDiskQueue) close(t.ViewQueue) t.wmCache.Clear() t.dtoSampleKeys.Close() t.sampleKeys.Close() t.state = tieredStorageStopping } func (t *TieredStorage) seriesTooOld(f *clientmodel.Fingerprint, i clientmodel.Timestamp) (bool, error) { // BUG(julius): Make this configurable by query layer. i = i.Add(-stalenessLimit) wm, cacheHit, _ := t.wmCache.Get(f) if !cacheHit { if t.memoryArena.HasFingerprint(f) { samples := t.memoryArena.CloneSamples(f) if len(samples) > 0 { newest := samples[len(samples)-1].Timestamp t.wmCache.Put(f, &watermarks{High: newest}) return newest.Before(i), nil } } highTime, diskHit, err := t.DiskStorage.MetricHighWatermarks.Get(f) if err != nil { return false, err } if diskHit { t.wmCache.Put(f, &watermarks{High: highTime}) return highTime.Before(i), nil } t.wmCache.Put(f, &watermarks{}) return true, nil } return wm.High.Before(i), nil } func (t *TieredStorage) renderView(viewJob viewJob) { // Telemetry. var err error begin := time.Now() defer func() { t.memorySemaphore <- true duration := time.Since(begin) recordOutcome( duration, err, map[string]string{operation: renderView, result: success}, map[string]string{operation: renderView, result: failure}, ) }() scanJobsTimer := viewJob.stats.GetTimer(stats.ViewScanJobsTime).Start() scanJobsTimer.Stop() view := newView() var iterator leveldb.Iterator diskPresent := true firstBlock, _ := t.sampleKeys.Get() defer t.sampleKeys.Give(firstBlock) lastBlock, _ := t.sampleKeys.Get() defer t.sampleKeys.Give(lastBlock) sampleKeyDto, _ := t.dtoSampleKeys.Get() defer t.dtoSampleKeys.Give(sampleKeyDto) extractionTimer := viewJob.stats.GetTimer(stats.ViewDataExtractionTime).Start() for viewJob.builder.HasOp() { op := viewJob.builder.PopOp() fp := op.Fingerprint() old, err := t.seriesTooOld(fp, op.CurrentTime()) if err != nil { glog.Errorf("Error getting watermark from cache for %s: %s", fp, err) continue } if old { continue } memValues := t.memoryArena.CloneSamples(fp) // Abort the view rendering if the caller (MakeView) has timed out. if len(viewJob.abort) > 0 { return } // Load data value chunk(s) around the current time. targetTime := op.CurrentTime() currentChunk := chunk{} // If we aimed before the oldest value in memory, load more data from disk. if (len(memValues) == 0 || memValues.FirstTimeAfter(targetTime)) && diskPresent { if iterator == nil { // Get a single iterator that will be used for all data extraction // below. iterator, _ = t.DiskStorage.MetricSamples.NewIterator(true) defer iterator.Close() if diskPresent = iterator.SeekToLast(); diskPresent { if err := iterator.Key(sampleKeyDto); err != nil { panic(err) } lastBlock.Load(sampleKeyDto) if !iterator.SeekToFirst() { diskPresent = false } else { if err := iterator.Key(sampleKeyDto); err != nil { panic(err) } firstBlock.Load(sampleKeyDto) } } } if diskPresent { diskTimer := viewJob.stats.GetTimer(stats.ViewDiskExtractionTime).Start() diskValues, expired := t.loadChunkAroundTime( iterator, fp, targetTime, firstBlock, lastBlock, ) if expired { diskPresent = false } diskTimer.Stop() // If we aimed past the newest value on disk, // combine it with the next value from memory. if len(diskValues) == 0 { currentChunk = chunk(memValues) } else { if len(memValues) > 0 && diskValues.LastTimeBefore(targetTime) { latestDiskValue := diskValues[len(diskValues)-1:] currentChunk = append(chunk(latestDiskValue), chunk(memValues)...) } else { currentChunk = chunk(diskValues) } } } else { currentChunk = chunk(memValues) } } else { currentChunk = chunk(memValues) } // There's no data at all for this fingerprint, so stop processing. if len(currentChunk) == 0 { continue } currentChunk = currentChunk.TruncateBefore(targetTime) lastChunkTime := currentChunk[len(currentChunk)-1].Timestamp if lastChunkTime.After(targetTime) { targetTime = lastChunkTime } // Extract all needed data from the current chunk and append the // extracted samples to the materialized view. for !op.Consumed() && !op.CurrentTime().After(targetTime) { view.appendSamples(fp, op.ExtractSamples(Values(currentChunk))) } } extractionTimer.Stop() viewJob.output <- view return } func (t *TieredStorage) loadChunkAroundTime( iterator leveldb.Iterator, fingerprint *clientmodel.Fingerprint, ts clientmodel.Timestamp, firstBlock, lastBlock *SampleKey, ) (chunk Values, expired bool) { if fingerprint.Less(firstBlock.Fingerprint) { return nil, false } if lastBlock.Fingerprint.Less(fingerprint) { return nil, true } seekingKey, _ := t.sampleKeys.Get() defer t.sampleKeys.Give(seekingKey) seekingKey.Fingerprint = fingerprint if fingerprint.Equal(firstBlock.Fingerprint) && ts.Before(firstBlock.FirstTimestamp) { seekingKey.FirstTimestamp = firstBlock.FirstTimestamp } else if fingerprint.Equal(lastBlock.Fingerprint) && ts.After(lastBlock.FirstTimestamp) { seekingKey.FirstTimestamp = lastBlock.FirstTimestamp } else { seekingKey.FirstTimestamp = ts } dto, _ := t.dtoSampleKeys.Get() defer t.dtoSampleKeys.Give(dto) seekingKey.Dump(dto) if !iterator.Seek(dto) { return chunk, true } var foundValues Values if err := iterator.Key(dto); err != nil { panic(err) } seekingKey.Load(dto) if seekingKey.Fingerprint.Equal(fingerprint) { // Figure out if we need to rewind by one block. // Imagine the following supertime blocks with time ranges: // // Block 1: ft 1000 - lt 1009 // Block 1: ft 1010 - lt 1019 // // If we are aiming to find time 1005, we would first seek to the block with // supertime 1010, then need to rewind by one block by virtue of LevelDB // iterator seek behavior. // // Only do the rewind if there is another chunk before this one. if !seekingKey.MayContain(ts) { postValues, _ := extractSampleValues(iterator) if !seekingKey.Equal(firstBlock) { if !iterator.Previous() { panic("This should never return false.") } if err := iterator.Key(dto); err != nil { panic(err) } seekingKey.Load(dto) if !seekingKey.Fingerprint.Equal(fingerprint) { return postValues, false } foundValues, _ = extractSampleValues(iterator) foundValues = append(foundValues, postValues...) return foundValues, false } } foundValues, _ = extractSampleValues(iterator) return foundValues, false } if fingerprint.Less(seekingKey.Fingerprint) { if !seekingKey.Equal(firstBlock) { if !iterator.Previous() { panic("This should never return false.") } if err := iterator.Key(dto); err != nil { panic(err) } seekingKey.Load(dto) if !seekingKey.Fingerprint.Equal(fingerprint) { return nil, false } foundValues, _ = extractSampleValues(iterator) return foundValues, false } } panic("illegal state: violated sort invariant") } // GetAllValuesForLabel gets all label values that are associated with the // provided label name. func (t *TieredStorage) GetAllValuesForLabel(labelName clientmodel.LabelName) (clientmodel.LabelValues, error) { t.mu.RLock() defer t.mu.RUnlock() if t.state != tieredStorageServing { panic("Illegal State: Attempted to query non-running TieredStorage.") } diskValues, err := t.DiskStorage.GetAllValuesForLabel(labelName) if err != nil { return nil, err } memoryValues, err := t.memoryArena.GetAllValuesForLabel(labelName) if err != nil { return nil, err } valueSet := map[clientmodel.LabelValue]bool{} values := clientmodel.LabelValues{} for _, value := range append(diskValues, memoryValues...) { if !valueSet[value] { values = append(values, value) valueSet[value] = true } } return values, nil } // GetFingerprintsForLabelSet gets all of the metric fingerprints that are // associated with the provided label set. func (t *TieredStorage) GetFingerprintsForLabelSet(labelSet clientmodel.LabelSet) (clientmodel.Fingerprints, error) { t.mu.RLock() defer t.mu.RUnlock() if t.state != tieredStorageServing { panic("Illegal State: Attempted to query non-running TieredStorage.") } memFingerprints, err := t.memoryArena.GetFingerprintsForLabelSet(labelSet) if err != nil { return nil, err } diskFingerprints, err := t.DiskStorage.GetFingerprintsForLabelSet(labelSet) if err != nil { return nil, err } fingerprintSet := map[clientmodel.Fingerprint]bool{} for _, fingerprint := range append(memFingerprints, diskFingerprints...) { fingerprintSet[*fingerprint] = true } fingerprints := clientmodel.Fingerprints{} for fingerprint := range fingerprintSet { fpCopy := fingerprint fingerprints = append(fingerprints, &fpCopy) } return fingerprints, nil } // GetMetricForFingerprint gets the metric associated with the provided // fingerprint. func (t *TieredStorage) GetMetricForFingerprint(f *clientmodel.Fingerprint) (clientmodel.Metric, error) { t.mu.RLock() defer t.mu.RUnlock() if t.state != tieredStorageServing { panic("Illegal State: Attempted to query non-running TieredStorage.") } m, err := t.memoryArena.GetMetricForFingerprint(f) if err != nil { return nil, err } if m == nil { m, err = t.DiskStorage.GetMetricForFingerprint(f) t.memoryArena.CreateEmptySeries(m) } return m, err }