package storage import ( "bytes" "fmt" "io" "io/ioutil" "math" "os" "path/filepath" "regexp" "sort" "strings" "sync" "sync/atomic" "time" "unsafe" "github.com/VictoriaMetrics/VictoriaMetrics/lib/bloomfilter" "github.com/VictoriaMetrics/VictoriaMetrics/lib/cgroup" "github.com/VictoriaMetrics/VictoriaMetrics/lib/decimal" "github.com/VictoriaMetrics/VictoriaMetrics/lib/encoding" "github.com/VictoriaMetrics/VictoriaMetrics/lib/fasttime" "github.com/VictoriaMetrics/VictoriaMetrics/lib/fs" "github.com/VictoriaMetrics/VictoriaMetrics/lib/logger" "github.com/VictoriaMetrics/VictoriaMetrics/lib/memory" "github.com/VictoriaMetrics/VictoriaMetrics/lib/snapshot" "github.com/VictoriaMetrics/VictoriaMetrics/lib/storagepacelimiter" "github.com/VictoriaMetrics/VictoriaMetrics/lib/timerpool" "github.com/VictoriaMetrics/VictoriaMetrics/lib/uint64set" "github.com/VictoriaMetrics/VictoriaMetrics/lib/workingsetcache" "github.com/VictoriaMetrics/fastcache" ) const ( msecsPerMonth = 31 * 24 * 3600 * 1000 maxRetentionMsecs = 100 * 12 * msecsPerMonth ) // Storage represents TSDB storage. type Storage struct { // Atomic counters must go at the top of the structure in order to properly align by 8 bytes on 32-bit archs. // See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/212 . tooSmallTimestampRows uint64 tooBigTimestampRows uint64 addRowsConcurrencyLimitReached uint64 addRowsConcurrencyLimitTimeout uint64 addRowsConcurrencyDroppedRows uint64 searchTSIDsConcurrencyLimitReached uint64 searchTSIDsConcurrencyLimitTimeout uint64 slowRowInserts uint64 slowPerDayIndexInserts uint64 slowMetricNameLoads uint64 hourlySeriesLimitRowsDropped uint64 dailySeriesLimitRowsDropped uint64 path string cachePath string retentionMsecs int64 // lock file for exclusive access to the storage on the given path. flockF *os.File idbCurr atomic.Value tb *table // Series cardinality limiters. hourlySeriesLimiter *bloomfilter.Limiter dailySeriesLimiter *bloomfilter.Limiter // tsidCache is MetricName -> TSID cache. tsidCache *workingsetcache.Cache // metricIDCache is MetricID -> TSID cache. metricIDCache *workingsetcache.Cache // metricNameCache is MetricID -> MetricName cache. metricNameCache *workingsetcache.Cache // dateMetricIDCache is (Date, MetricID) cache. dateMetricIDCache *dateMetricIDCache // Fast cache for MetricID values occurred during the current hour. currHourMetricIDs atomic.Value // Fast cache for MetricID values occurred during the previous hour. prevHourMetricIDs atomic.Value // Fast cache for pre-populating per-day inverted index for the next day. // This is needed in order to remove CPU usage spikes at 00:00 UTC // due to creation of per-day inverted index for active time series. // See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/430 for details. nextDayMetricIDs atomic.Value // Pending MetricID values to be added to currHourMetricIDs. pendingHourEntriesLock sync.Mutex pendingHourEntries *uint64set.Set // Pending MetricIDs to be added to nextDayMetricIDs. pendingNextDayMetricIDsLock sync.Mutex pendingNextDayMetricIDs *uint64set.Set // prefetchedMetricIDs contains metricIDs for pre-fetched metricNames in the prefetchMetricNames function. prefetchedMetricIDs atomic.Value // prefetchedMetricIDsDeadline is used for periodic reset of prefetchedMetricIDs in order to limit its size under high rate of creating new series. prefetchedMetricIDsDeadline uint64 // prefetchedMetricIDsLock is used for serializing updates of prefetchedMetricIDs from concurrent goroutines. prefetchedMetricIDsLock sync.Mutex stop chan struct{} currHourMetricIDsUpdaterWG sync.WaitGroup nextDayMetricIDsUpdaterWG sync.WaitGroup retentionWatcherWG sync.WaitGroup freeDiskSpaceWatcherWG sync.WaitGroup // The snapshotLock prevents from concurrent creation of snapshots, // since this may result in snapshots without recently added data, // which may be in the process of flushing to disk by concurrently running // snapshot process. snapshotLock sync.Mutex // The minimum timestamp when composite index search can be used. minTimestampForCompositeIndex int64 // An inmemory set of deleted metricIDs. // // It is safe to keep the set in memory even for big number of deleted // metricIDs, since it usually requires 1 bit per deleted metricID. deletedMetricIDs atomic.Value deletedMetricIDsUpdateLock sync.Mutex isReadOnly uint32 } // OpenStorage opens storage on the given path with the given retentionMsecs. func OpenStorage(path string, retentionMsecs int64, maxHourlySeries, maxDailySeries int) (*Storage, error) { path, err := filepath.Abs(path) if err != nil { return nil, fmt.Errorf("cannot determine absolute path for %q: %w", path, err) } if retentionMsecs <= 0 { retentionMsecs = maxRetentionMsecs } if retentionMsecs > maxRetentionMsecs { retentionMsecs = maxRetentionMsecs } s := &Storage{ path: path, cachePath: path + "/cache", retentionMsecs: retentionMsecs, stop: make(chan struct{}), } if err := fs.MkdirAllIfNotExist(path); err != nil { return nil, fmt.Errorf("cannot create a directory for the storage at %q: %w", path, err) } // Check whether the cache directory must be removed // It is removed if it contains reset_cache_on_startup file. // See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1447 for details. if fs.IsPathExist(s.cachePath + "/reset_cache_on_startup") { logger.Infof("removing cache directory at %q, since it contains `reset_cache_on_startup` file...", s.cachePath) wg := getWaitGroup() wg.Add(1) fs.MustRemoveAllWithDoneCallback(s.cachePath, wg.Done) wg.Wait() putWaitGroup(wg) logger.Infof("cache directory at %q has been successfully removed", s.cachePath) } // Protect from concurrent opens. flockF, err := fs.CreateFlockFile(path) if err != nil { return nil, err } s.flockF = flockF // Check whether restore process finished successfully restoreLockF := path + "/restore-in-progress" if fs.IsPathExist(restoreLockF) { return nil, fmt.Errorf("restore lock file exists, incomplete vmrestore run. Run vmrestore again or remove lock file %q", restoreLockF) } // Pre-create snapshots directory if it is missing. snapshotsPath := path + "/snapshots" if err := fs.MkdirAllIfNotExist(snapshotsPath); err != nil { return nil, fmt.Errorf("cannot create %q: %w", snapshotsPath, err) } // Initialize series cardinality limiter. if maxHourlySeries > 0 { s.hourlySeriesLimiter = bloomfilter.NewLimiter(maxHourlySeries, time.Hour) } if maxDailySeries > 0 { s.dailySeriesLimiter = bloomfilter.NewLimiter(maxDailySeries, 24*time.Hour) } // Load caches. mem := memory.Allowed() s.tsidCache = s.mustLoadCache("MetricName->TSID", "metricName_tsid", getTSIDCacheSize()) s.metricIDCache = s.mustLoadCache("MetricID->TSID", "metricID_tsid", mem/16) s.metricNameCache = s.mustLoadCache("MetricID->MetricName", "metricID_metricName", mem/10) s.dateMetricIDCache = newDateMetricIDCache() hour := fasttime.UnixHour() hmCurr := s.mustLoadHourMetricIDs(hour, "curr_hour_metric_ids") hmPrev := s.mustLoadHourMetricIDs(hour-1, "prev_hour_metric_ids") s.currHourMetricIDs.Store(hmCurr) s.prevHourMetricIDs.Store(hmPrev) s.pendingHourEntries = &uint64set.Set{} date := fasttime.UnixDate() nextDayMetricIDs := s.mustLoadNextDayMetricIDs(date) s.nextDayMetricIDs.Store(nextDayMetricIDs) s.pendingNextDayMetricIDs = &uint64set.Set{} s.prefetchedMetricIDs.Store(&uint64set.Set{}) // Load metadata metadataDir := path + "/metadata" isEmptyDB := !fs.IsPathExist(path + "/indexdb") if err := fs.MkdirAllIfNotExist(metadataDir); err != nil { return nil, fmt.Errorf("cannot create %q: %w", metadataDir, err) } s.minTimestampForCompositeIndex = mustGetMinTimestampForCompositeIndex(metadataDir, isEmptyDB) // Load indexdb idbPath := path + "/indexdb" idbSnapshotsPath := idbPath + "/snapshots" if err := fs.MkdirAllIfNotExist(idbSnapshotsPath); err != nil { return nil, fmt.Errorf("cannot create %q: %w", idbSnapshotsPath, err) } idbCurr, idbPrev, err := s.openIndexDBTables(idbPath) if err != nil { return nil, fmt.Errorf("cannot open indexdb tables at %q: %w", idbPath, err) } idbCurr.SetExtDB(idbPrev) s.idbCurr.Store(idbCurr) // Load deleted metricIDs from idbCurr and idbPrev dmisCurr, err := idbCurr.loadDeletedMetricIDs() if err != nil { return nil, fmt.Errorf("cannot load deleted metricIDs for the current indexDB: %w", err) } dmisPrev, err := idbPrev.loadDeletedMetricIDs() if err != nil { return nil, fmt.Errorf("cannot load deleted metricIDs for the previous indexDB: %w", err) } s.setDeletedMetricIDs(dmisCurr) s.updateDeletedMetricIDs(dmisPrev) // Load data tablePath := path + "/data" tb, err := openTable(tablePath, s.getDeletedMetricIDs, retentionMsecs) if err != nil { s.idb().MustClose() return nil, fmt.Errorf("cannot open table at %q: %w", tablePath, err) } s.tb = tb s.startCurrHourMetricIDsUpdater() s.startNextDayMetricIDsUpdater() s.startRetentionWatcher() s.startFreeDiskSpaceWatcher() return s, nil } var maxTSIDCacheSize int // SetTSIDCacheSize overrides the default size of storage/tsid cahce func SetTSIDCacheSize(size int) { maxTSIDCacheSize = size } func getTSIDCacheSize() int { if maxTSIDCacheSize <= 0 { return int(float64(memory.Allowed()) * 0.37) } return maxTSIDCacheSize } func (s *Storage) getDeletedMetricIDs() *uint64set.Set { return s.deletedMetricIDs.Load().(*uint64set.Set) } func (s *Storage) setDeletedMetricIDs(dmis *uint64set.Set) { s.deletedMetricIDs.Store(dmis) } func (s *Storage) updateDeletedMetricIDs(metricIDs *uint64set.Set) { s.deletedMetricIDsUpdateLock.Lock() dmisOld := s.getDeletedMetricIDs() dmisNew := dmisOld.Clone() dmisNew.Union(metricIDs) s.setDeletedMetricIDs(dmisNew) s.deletedMetricIDsUpdateLock.Unlock() } // DebugFlush flushes recently added storage data, so it becomes visible to search. func (s *Storage) DebugFlush() { s.tb.flushRawRows() s.idb().tb.DebugFlush() } // CreateSnapshot creates snapshot for s and returns the snapshot name. func (s *Storage) CreateSnapshot() (string, error) { logger.Infof("creating Storage snapshot for %q...", s.path) startTime := time.Now() s.snapshotLock.Lock() defer s.snapshotLock.Unlock() snapshotName := snapshot.NewName() srcDir := s.path dstDir := fmt.Sprintf("%s/snapshots/%s", srcDir, snapshotName) if err := fs.MkdirAllFailIfExist(dstDir); err != nil { return "", fmt.Errorf("cannot create dir %q: %w", dstDir, err) } dstDataDir := dstDir + "/data" if err := fs.MkdirAllFailIfExist(dstDataDir); err != nil { return "", fmt.Errorf("cannot create dir %q: %w", dstDataDir, err) } smallDir, bigDir, err := s.tb.CreateSnapshot(snapshotName) if err != nil { return "", fmt.Errorf("cannot create table snapshot: %w", err) } dstSmallDir := dstDataDir + "/small" if err := fs.SymlinkRelative(smallDir, dstSmallDir); err != nil { return "", fmt.Errorf("cannot create symlink from %q to %q: %w", smallDir, dstSmallDir, err) } dstBigDir := dstDataDir + "/big" if err := fs.SymlinkRelative(bigDir, dstBigDir); err != nil { return "", fmt.Errorf("cannot create symlink from %q to %q: %w", bigDir, dstBigDir, err) } fs.MustSyncPath(dstDataDir) idbSnapshot := fmt.Sprintf("%s/indexdb/snapshots/%s", srcDir, snapshotName) idb := s.idb() currSnapshot := idbSnapshot + "/" + idb.name if err := idb.tb.CreateSnapshotAt(currSnapshot); err != nil { return "", fmt.Errorf("cannot create curr indexDB snapshot: %w", err) } ok := idb.doExtDB(func(extDB *indexDB) { prevSnapshot := idbSnapshot + "/" + extDB.name err = extDB.tb.CreateSnapshotAt(prevSnapshot) }) if ok && err != nil { return "", fmt.Errorf("cannot create prev indexDB snapshot: %w", err) } dstIdbDir := dstDir + "/indexdb" if err := fs.SymlinkRelative(idbSnapshot, dstIdbDir); err != nil { return "", fmt.Errorf("cannot create symlink from %q to %q: %w", idbSnapshot, dstIdbDir, err) } srcMetadataDir := srcDir + "/metadata" dstMetadataDir := dstDir + "/metadata" if err := fs.CopyDirectory(srcMetadataDir, dstMetadataDir); err != nil { return "", fmt.Errorf("cannot copy metadata: %s", err) } fs.MustSyncPath(dstDir) logger.Infof("created Storage snapshot for %q at %q in %.3f seconds", srcDir, dstDir, time.Since(startTime).Seconds()) return snapshotName, nil } // ListSnapshots returns sorted list of existing snapshots for s. func (s *Storage) ListSnapshots() ([]string, error) { snapshotsPath := s.path + "/snapshots" d, err := os.Open(snapshotsPath) if err != nil { return nil, fmt.Errorf("cannot open %q: %w", snapshotsPath, err) } defer fs.MustClose(d) fnames, err := d.Readdirnames(-1) if err != nil { return nil, fmt.Errorf("cannot read contents of %q: %w", snapshotsPath, err) } snapshotNames := make([]string, 0, len(fnames)) for _, fname := range fnames { if err := snapshot.Validate(fname); err != nil { continue } snapshotNames = append(snapshotNames, fname) } sort.Strings(snapshotNames) return snapshotNames, nil } // DeleteSnapshot deletes the given snapshot. func (s *Storage) DeleteSnapshot(snapshotName string) error { if err := snapshot.Validate(snapshotName); err != nil { return fmt.Errorf("invalid snapshotName %q: %w", snapshotName, err) } snapshotPath := s.path + "/snapshots/" + snapshotName logger.Infof("deleting snapshot %q...", snapshotPath) startTime := time.Now() s.tb.MustDeleteSnapshot(snapshotName) idbPath := fmt.Sprintf("%s/indexdb/snapshots/%s", s.path, snapshotName) fs.MustRemoveAll(idbPath) fs.MustRemoveAll(snapshotPath) logger.Infof("deleted snapshot %q in %.3f seconds", snapshotPath, time.Since(startTime).Seconds()) return nil } // DeleteStaleSnapshots deletes snapshot older than given maxAge func (s *Storage) DeleteStaleSnapshots(maxAge time.Duration) error { list, err := s.ListSnapshots() if err != nil { return err } expireDeadline := time.Now().UTC().Add(-maxAge) for _, snapshotName := range list { t, err := snapshot.Time(snapshotName) if err != nil { return fmt.Errorf("cannot parse snapshot date from %q: %w", snapshotName, err) } if t.Before(expireDeadline) { if err := s.DeleteSnapshot(snapshotName); err != nil { return fmt.Errorf("cannot delete snapshot %q: %w", snapshotName, err) } } } return nil } func (s *Storage) idb() *indexDB { return s.idbCurr.Load().(*indexDB) } // Metrics contains essential metrics for the Storage. type Metrics struct { RowsAddedTotal uint64 DedupsDuringMerge uint64 TooSmallTimestampRows uint64 TooBigTimestampRows uint64 AddRowsConcurrencyLimitReached uint64 AddRowsConcurrencyLimitTimeout uint64 AddRowsConcurrencyDroppedRows uint64 AddRowsConcurrencyCapacity uint64 AddRowsConcurrencyCurrent uint64 SearchTSIDsConcurrencyLimitReached uint64 SearchTSIDsConcurrencyLimitTimeout uint64 SearchTSIDsConcurrencyCapacity uint64 SearchTSIDsConcurrencyCurrent uint64 SearchDelays uint64 SlowRowInserts uint64 SlowPerDayIndexInserts uint64 SlowMetricNameLoads uint64 HourlySeriesLimitRowsDropped uint64 DailySeriesLimitRowsDropped uint64 TimestampsBlocksMerged uint64 TimestampsBytesSaved uint64 TSIDCacheSize uint64 TSIDCacheSizeBytes uint64 TSIDCacheSizeMaxBytes uint64 TSIDCacheRequests uint64 TSIDCacheMisses uint64 TSIDCacheCollisions uint64 MetricIDCacheSize uint64 MetricIDCacheSizeBytes uint64 MetricIDCacheSizeMaxBytes uint64 MetricIDCacheRequests uint64 MetricIDCacheMisses uint64 MetricIDCacheCollisions uint64 MetricNameCacheSize uint64 MetricNameCacheSizeBytes uint64 MetricNameCacheSizeMaxBytes uint64 MetricNameCacheRequests uint64 MetricNameCacheMisses uint64 MetricNameCacheCollisions uint64 DateMetricIDCacheSize uint64 DateMetricIDCacheSizeBytes uint64 DateMetricIDCacheSyncsCount uint64 DateMetricIDCacheResetsCount uint64 HourMetricIDCacheSize uint64 HourMetricIDCacheSizeBytes uint64 NextDayMetricIDCacheSize uint64 NextDayMetricIDCacheSizeBytes uint64 PrefetchedMetricIDsSize uint64 PrefetchedMetricIDsSizeBytes uint64 IndexDBMetrics IndexDBMetrics TableMetrics TableMetrics } // Reset resets m. func (m *Metrics) Reset() { *m = Metrics{} } // UpdateMetrics updates m with metrics from s. func (s *Storage) UpdateMetrics(m *Metrics) { m.RowsAddedTotal = atomic.LoadUint64(&rowsAddedTotal) m.DedupsDuringMerge = atomic.LoadUint64(&dedupsDuringMerge) m.TooSmallTimestampRows += atomic.LoadUint64(&s.tooSmallTimestampRows) m.TooBigTimestampRows += atomic.LoadUint64(&s.tooBigTimestampRows) m.AddRowsConcurrencyLimitReached += atomic.LoadUint64(&s.addRowsConcurrencyLimitReached) m.AddRowsConcurrencyLimitTimeout += atomic.LoadUint64(&s.addRowsConcurrencyLimitTimeout) m.AddRowsConcurrencyDroppedRows += atomic.LoadUint64(&s.addRowsConcurrencyDroppedRows) m.AddRowsConcurrencyCapacity = uint64(cap(addRowsConcurrencyCh)) m.AddRowsConcurrencyCurrent = uint64(len(addRowsConcurrencyCh)) m.SearchTSIDsConcurrencyLimitReached += atomic.LoadUint64(&s.searchTSIDsConcurrencyLimitReached) m.SearchTSIDsConcurrencyLimitTimeout += atomic.LoadUint64(&s.searchTSIDsConcurrencyLimitTimeout) m.SearchTSIDsConcurrencyCapacity = uint64(cap(searchTSIDsConcurrencyCh)) m.SearchTSIDsConcurrencyCurrent = uint64(len(searchTSIDsConcurrencyCh)) m.SearchDelays = storagepacelimiter.Search.DelaysTotal() m.SlowRowInserts += atomic.LoadUint64(&s.slowRowInserts) m.SlowPerDayIndexInserts += atomic.LoadUint64(&s.slowPerDayIndexInserts) m.SlowMetricNameLoads += atomic.LoadUint64(&s.slowMetricNameLoads) m.HourlySeriesLimitRowsDropped += atomic.LoadUint64(&s.hourlySeriesLimitRowsDropped) m.DailySeriesLimitRowsDropped += atomic.LoadUint64(&s.dailySeriesLimitRowsDropped) m.TimestampsBlocksMerged = atomic.LoadUint64(×tampsBlocksMerged) m.TimestampsBytesSaved = atomic.LoadUint64(×tampsBytesSaved) var cs fastcache.Stats s.tsidCache.UpdateStats(&cs) m.TSIDCacheSize += cs.EntriesCount m.TSIDCacheSizeBytes += cs.BytesSize m.TSIDCacheSizeMaxBytes += cs.MaxBytesSize m.TSIDCacheRequests += cs.GetCalls m.TSIDCacheMisses += cs.Misses m.TSIDCacheCollisions += cs.Collisions cs.Reset() s.metricIDCache.UpdateStats(&cs) m.MetricIDCacheSize += cs.EntriesCount m.MetricIDCacheSizeBytes += cs.BytesSize m.MetricIDCacheSizeMaxBytes += cs.MaxBytesSize m.MetricIDCacheRequests += cs.GetCalls m.MetricIDCacheMisses += cs.Misses m.MetricIDCacheCollisions += cs.Collisions cs.Reset() s.metricNameCache.UpdateStats(&cs) m.MetricNameCacheSize += cs.EntriesCount m.MetricNameCacheSizeBytes += cs.BytesSize m.MetricNameCacheSizeMaxBytes += cs.MaxBytesSize m.MetricNameCacheRequests += cs.GetCalls m.MetricNameCacheMisses += cs.Misses m.MetricNameCacheCollisions += cs.Collisions m.DateMetricIDCacheSize += uint64(s.dateMetricIDCache.EntriesCount()) m.DateMetricIDCacheSizeBytes += uint64(s.dateMetricIDCache.SizeBytes()) m.DateMetricIDCacheSyncsCount += atomic.LoadUint64(&s.dateMetricIDCache.syncsCount) m.DateMetricIDCacheResetsCount += atomic.LoadUint64(&s.dateMetricIDCache.resetsCount) hmCurr := s.currHourMetricIDs.Load().(*hourMetricIDs) hmPrev := s.prevHourMetricIDs.Load().(*hourMetricIDs) hourMetricIDsLen := hmPrev.m.Len() if hmCurr.m.Len() > hourMetricIDsLen { hourMetricIDsLen = hmCurr.m.Len() } m.HourMetricIDCacheSize += uint64(hourMetricIDsLen) m.HourMetricIDCacheSizeBytes += hmCurr.m.SizeBytes() m.HourMetricIDCacheSizeBytes += hmPrev.m.SizeBytes() nextDayMetricIDs := &s.nextDayMetricIDs.Load().(*byDateMetricIDEntry).v m.NextDayMetricIDCacheSize += uint64(nextDayMetricIDs.Len()) m.NextDayMetricIDCacheSizeBytes += nextDayMetricIDs.SizeBytes() prefetchedMetricIDs := s.prefetchedMetricIDs.Load().(*uint64set.Set) m.PrefetchedMetricIDsSize += uint64(prefetchedMetricIDs.Len()) m.PrefetchedMetricIDsSizeBytes += uint64(prefetchedMetricIDs.SizeBytes()) s.idb().UpdateMetrics(&m.IndexDBMetrics) s.tb.UpdateMetrics(&m.TableMetrics) } // SetFreeDiskSpaceLimit sets the minimum free disk space size of current storage path // // The function must be called before opening or creating any storage. func SetFreeDiskSpaceLimit(bytes int) { freeDiskSpaceLimitBytes = uint64(bytes) } var freeDiskSpaceLimitBytes uint64 // IsReadOnly returns information is storage in read only mode func (s *Storage) IsReadOnly() bool { return atomic.LoadUint32(&s.isReadOnly) == 1 } func (s *Storage) startFreeDiskSpaceWatcher() { f := func() { freeSpaceBytes := fs.MustGetFreeSpace(s.path) if freeSpaceBytes < freeDiskSpaceLimitBytes { // Switch the storage to readonly mode if there is no enough free space left at s.path logger.Warnf("switching the storage at %s to read-only mode, since it has less than -storage.minFreeDiskSpaceBytes=%d of free space: %d bytes left", s.path, freeDiskSpaceLimitBytes, freeSpaceBytes) atomic.StoreUint32(&s.isReadOnly, 1) return } if atomic.CompareAndSwapUint32(&s.isReadOnly, 1, 0) { logger.Warnf("enabling writing to the storage at %s, since it has more than -storage.minFreeDiskSpaceBytes=%d of free space: %d bytes left", s.path, freeDiskSpaceLimitBytes, freeSpaceBytes) } } f() s.freeDiskSpaceWatcherWG.Add(1) go func() { defer s.freeDiskSpaceWatcherWG.Done() ticker := time.NewTicker(time.Second) defer ticker.Stop() for { select { case <-s.stop: return case <-ticker.C: f() } } }() } func (s *Storage) startRetentionWatcher() { s.retentionWatcherWG.Add(1) go func() { s.retentionWatcher() s.retentionWatcherWG.Done() }() } func (s *Storage) retentionWatcher() { for { d := nextRetentionDuration(s.retentionMsecs) select { case <-s.stop: return case <-time.After(d): s.mustRotateIndexDB() } } } func (s *Storage) startCurrHourMetricIDsUpdater() { s.currHourMetricIDsUpdaterWG.Add(1) go func() { s.currHourMetricIDsUpdater() s.currHourMetricIDsUpdaterWG.Done() }() } func (s *Storage) startNextDayMetricIDsUpdater() { s.nextDayMetricIDsUpdaterWG.Add(1) go func() { s.nextDayMetricIDsUpdater() s.nextDayMetricIDsUpdaterWG.Done() }() } var currHourMetricIDsUpdateInterval = time.Second * 10 func (s *Storage) currHourMetricIDsUpdater() { ticker := time.NewTicker(currHourMetricIDsUpdateInterval) defer ticker.Stop() for { select { case <-s.stop: s.updateCurrHourMetricIDs() return case <-ticker.C: s.updateCurrHourMetricIDs() } } } var nextDayMetricIDsUpdateInterval = time.Second * 11 func (s *Storage) nextDayMetricIDsUpdater() { ticker := time.NewTicker(nextDayMetricIDsUpdateInterval) defer ticker.Stop() for { select { case <-s.stop: s.updateNextDayMetricIDs() return case <-ticker.C: s.updateNextDayMetricIDs() } } } func (s *Storage) mustRotateIndexDB() { // Create new indexdb table. newTableName := nextIndexDBTableName() idbNewPath := s.path + "/indexdb/" + newTableName rotationTimestamp := fasttime.UnixTimestamp() idbNew, err := openIndexDB(idbNewPath, s, rotationTimestamp) if err != nil { logger.Panicf("FATAL: cannot create new indexDB at %q: %s", idbNewPath, err) } // Drop extDB idbCurr := s.idb() idbCurr.doExtDB(func(extDB *indexDB) { extDB.scheduleToDrop() }) idbCurr.SetExtDB(nil) // Start using idbNew idbNew.SetExtDB(idbCurr) s.idbCurr.Store(idbNew) // Persist changes on the file system. fs.MustSyncPath(s.path) // Do not flush tsidCache to avoid read/write path slowdown // and slowly re-populate new idb with entries from the cache via maybeCreateIndexes(). // See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1401 // Flush dateMetricIDCache, so idbNew can be populated with fresh data. s.dateMetricIDCache.Reset() // Do not flush metricIDCache and metricNameCache, since all the metricIDs // from prev idb remain valid after the rotation. // There is no need in resetting nextDayMetricIDs, since it should be automatically reset every day. } func (s *Storage) resetAndSaveTSIDCache() { // Reset cache and then store the reset cache on disk in order to prevent // from inconsistent behaviour after possible unclean shutdown. // See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1347 s.tsidCache.Reset() s.mustSaveCache(s.tsidCache, "MetricName->TSID", "metricName_tsid") } // MustClose closes the storage. // // It is expected that the s is no longer used during the close. func (s *Storage) MustClose() { close(s.stop) s.freeDiskSpaceWatcherWG.Wait() s.retentionWatcherWG.Wait() s.currHourMetricIDsUpdaterWG.Wait() s.nextDayMetricIDsUpdaterWG.Wait() s.tb.MustClose() s.idb().MustClose() // Save caches. s.mustSaveCache(s.tsidCache, "MetricName->TSID", "metricName_tsid") s.tsidCache.Stop() s.mustSaveCache(s.metricIDCache, "MetricID->TSID", "metricID_tsid") s.metricIDCache.Stop() s.mustSaveCache(s.metricNameCache, "MetricID->MetricName", "metricID_metricName") s.metricNameCache.Stop() hmCurr := s.currHourMetricIDs.Load().(*hourMetricIDs) s.mustSaveHourMetricIDs(hmCurr, "curr_hour_metric_ids") hmPrev := s.prevHourMetricIDs.Load().(*hourMetricIDs) s.mustSaveHourMetricIDs(hmPrev, "prev_hour_metric_ids") nextDayMetricIDs := s.nextDayMetricIDs.Load().(*byDateMetricIDEntry) s.mustSaveNextDayMetricIDs(nextDayMetricIDs) // Release lock file. if err := s.flockF.Close(); err != nil { logger.Panicf("FATAL: cannot close lock file %q: %s", s.flockF.Name(), err) } // Stop series limiters. if sl := s.hourlySeriesLimiter; sl != nil { sl.MustStop() } if sl := s.dailySeriesLimiter; sl != nil { sl.MustStop() } } func (s *Storage) mustLoadNextDayMetricIDs(date uint64) *byDateMetricIDEntry { e := &byDateMetricIDEntry{ date: date, } name := "next_day_metric_ids" path := s.cachePath + "/" + name logger.Infof("loading %s from %q...", name, path) startTime := time.Now() if !fs.IsPathExist(path) { logger.Infof("nothing to load from %q", path) return e } src, err := ioutil.ReadFile(path) if err != nil { logger.Panicf("FATAL: cannot read %s: %s", path, err) } srcOrigLen := len(src) if len(src) < 16 { logger.Errorf("discarding %s, since it has broken header; got %d bytes; want %d bytes", path, len(src), 16) return e } // Unmarshal header dateLoaded := encoding.UnmarshalUint64(src) src = src[8:] if dateLoaded != date { logger.Infof("discarding %s, since it contains data for stale date; got %d; want %d", path, dateLoaded, date) return e } // Unmarshal uint64set m, tail, err := unmarshalUint64Set(src) if err != nil { logger.Infof("discarding %s because cannot load uint64set: %s", path, err) return e } if len(tail) > 0 { logger.Infof("discarding %s because non-empty tail left; len(tail)=%d", path, len(tail)) return e } e.v = *m logger.Infof("loaded %s from %q in %.3f seconds; entriesCount: %d; sizeBytes: %d", name, path, time.Since(startTime).Seconds(), m.Len(), srcOrigLen) return e } func (s *Storage) mustLoadHourMetricIDs(hour uint64, name string) *hourMetricIDs { hm := &hourMetricIDs{ hour: hour, } path := s.cachePath + "/" + name logger.Infof("loading %s from %q...", name, path) startTime := time.Now() if !fs.IsPathExist(path) { logger.Infof("nothing to load from %q", path) return hm } src, err := ioutil.ReadFile(path) if err != nil { logger.Panicf("FATAL: cannot read %s: %s", path, err) } srcOrigLen := len(src) if len(src) < 24 { logger.Errorf("discarding %s, since it has broken header; got %d bytes; want %d bytes", path, len(src), 24) return hm } // Unmarshal header isFull := encoding.UnmarshalUint64(src) src = src[8:] hourLoaded := encoding.UnmarshalUint64(src) src = src[8:] if hourLoaded != hour { logger.Infof("discarding %s, since it contains outdated hour; got %d; want %d", path, hourLoaded, hour) return hm } // Unmarshal uint64set m, tail, err := unmarshalUint64Set(src) if err != nil { logger.Infof("discarding %s because cannot load uint64set: %s", path, err) return hm } if len(tail) > 0 { logger.Infof("discarding %s because non-empty tail left; len(tail)=%d", path, len(tail)) return hm } hm.m = m hm.isFull = isFull != 0 logger.Infof("loaded %s from %q in %.3f seconds; entriesCount: %d; sizeBytes: %d", name, path, time.Since(startTime).Seconds(), m.Len(), srcOrigLen) return hm } func (s *Storage) mustSaveNextDayMetricIDs(e *byDateMetricIDEntry) { name := "next_day_metric_ids" path := s.cachePath + "/" + name logger.Infof("saving %s to %q...", name, path) startTime := time.Now() dst := make([]byte, 0, e.v.Len()*8+16) // Marshal header dst = encoding.MarshalUint64(dst, e.date) // Marshal e.v dst = marshalUint64Set(dst, &e.v) if err := ioutil.WriteFile(path, dst, 0644); err != nil { logger.Panicf("FATAL: cannot write %d bytes to %q: %s", len(dst), path, err) } logger.Infof("saved %s to %q in %.3f seconds; entriesCount: %d; sizeBytes: %d", name, path, time.Since(startTime).Seconds(), e.v.Len(), len(dst)) } func (s *Storage) mustSaveHourMetricIDs(hm *hourMetricIDs, name string) { path := s.cachePath + "/" + name logger.Infof("saving %s to %q...", name, path) startTime := time.Now() dst := make([]byte, 0, hm.m.Len()*8+24) isFull := uint64(0) if hm.isFull { isFull = 1 } // Marshal header dst = encoding.MarshalUint64(dst, isFull) dst = encoding.MarshalUint64(dst, hm.hour) // Marshal hm.m dst = marshalUint64Set(dst, hm.m) if err := ioutil.WriteFile(path, dst, 0644); err != nil { logger.Panicf("FATAL: cannot write %d bytes to %q: %s", len(dst), path, err) } logger.Infof("saved %s to %q in %.3f seconds; entriesCount: %d; sizeBytes: %d", name, path, time.Since(startTime).Seconds(), hm.m.Len(), len(dst)) } func unmarshalUint64Set(src []byte) (*uint64set.Set, []byte, error) { mLen := encoding.UnmarshalUint64(src) src = src[8:] if uint64(len(src)) < 8*mLen { return nil, nil, fmt.Errorf("cannot unmarshal uint64set; got %d bytes; want at least %d bytes", len(src), 8*mLen) } m := &uint64set.Set{} for i := uint64(0); i < mLen; i++ { metricID := encoding.UnmarshalUint64(src) src = src[8:] m.Add(metricID) } return m, src, nil } func marshalUint64Set(dst []byte, m *uint64set.Set) []byte { dst = encoding.MarshalUint64(dst, uint64(m.Len())) m.ForEach(func(part []uint64) bool { for _, metricID := range part { dst = encoding.MarshalUint64(dst, metricID) } return true }) return dst } func mustGetMinTimestampForCompositeIndex(metadataDir string, isEmptyDB bool) int64 { path := metadataDir + "/minTimestampForCompositeIndex" minTimestamp, err := loadMinTimestampForCompositeIndex(path) if err == nil { return minTimestamp } if !os.IsNotExist(err) { logger.Errorf("cannot read minTimestampForCompositeIndex, so trying to re-create it; error: %s", err) } date := time.Now().UnixNano() / 1e6 / msecPerDay if !isEmptyDB { // The current and the next day can already contain non-composite indexes, // so they cannot be queried with composite indexes. date += 2 } else { date = 0 } minTimestamp = date * msecPerDay dateBuf := encoding.MarshalInt64(nil, minTimestamp) if err := os.RemoveAll(path); err != nil { logger.Fatalf("cannot remove a file with minTimestampForCompositeIndex: %s", err) } if err := fs.WriteFileAtomically(path, dateBuf); err != nil { logger.Fatalf("cannot store minTimestampForCompositeIndex: %s", err) } return minTimestamp } func loadMinTimestampForCompositeIndex(path string) (int64, error) { data, err := ioutil.ReadFile(path) if err != nil { return 0, err } if len(data) != 8 { return 0, fmt.Errorf("unexpected length of %q; got %d bytes; want 8 bytes", path, len(data)) } return encoding.UnmarshalInt64(data), nil } func (s *Storage) mustLoadCache(info, name string, sizeBytes int) *workingsetcache.Cache { path := s.cachePath + "/" + name logger.Infof("loading %s cache from %q...", info, path) startTime := time.Now() c := workingsetcache.Load(path, sizeBytes) var cs fastcache.Stats c.UpdateStats(&cs) logger.Infof("loaded %s cache from %q in %.3f seconds; entriesCount: %d; sizeBytes: %d", info, path, time.Since(startTime).Seconds(), cs.EntriesCount, cs.BytesSize) return c } func (s *Storage) mustSaveCache(c *workingsetcache.Cache, info, name string) { saveCacheLock.Lock() defer saveCacheLock.Unlock() path := s.cachePath + "/" + name logger.Infof("saving %s cache to %q...", info, path) startTime := time.Now() if err := c.Save(path); err != nil { logger.Panicf("FATAL: cannot save %s cache to %q: %s", info, path, err) } var cs fastcache.Stats c.UpdateStats(&cs) logger.Infof("saved %s cache to %q in %.3f seconds; entriesCount: %d; sizeBytes: %d", info, path, time.Since(startTime).Seconds(), cs.EntriesCount, cs.BytesSize) } // saveCacheLock prevents from data races when multiple concurrent goroutines save the same cache. var saveCacheLock sync.Mutex func nextRetentionDuration(retentionMsecs int64) time.Duration { // Round retentionMsecs to days. This guarantees that per-day inverted index works as expected. retentionMsecs = ((retentionMsecs + msecPerDay - 1) / msecPerDay) * msecPerDay t := time.Now().UnixNano() / 1e6 deadline := ((t + retentionMsecs - 1) / retentionMsecs) * retentionMsecs // Schedule the deadline to +4 hours from the next retention period start. // This should prevent from possible double deletion of indexdb // due to time drift - see https://github.com/VictoriaMetrics/VictoriaMetrics/issues/248 . deadline += 4 * 3600 * 1000 return time.Duration(deadline-t) * time.Millisecond } // SearchMetricNames returns metric names matching the given tfss on the given tr. func (s *Storage) SearchMetricNames(tfss []*TagFilters, tr TimeRange, maxMetrics int, deadline uint64) ([]MetricName, error) { tsids, err := s.searchTSIDs(tfss, tr, maxMetrics, deadline) if err != nil { return nil, err } if err = s.prefetchMetricNames(tsids, deadline); err != nil { return nil, err } idb := s.idb() mns := make([]MetricName, 0, len(tsids)) var metricName []byte for i := range tsids { if i&paceLimiterSlowIterationsMask == 0 { if err := checkSearchDeadlineAndPace(deadline); err != nil { return nil, err } } metricID := tsids[i].MetricID var err error metricName, err = idb.searchMetricNameWithCache(metricName[:0], metricID) if err != nil { if err == io.EOF { // Skip missing metricName for metricID. // It should be automatically fixed. See indexDB.searchMetricName for details. continue } return nil, fmt.Errorf("error when searching metricName for metricID=%d: %w", metricID, err) } mns = mns[:len(mns)+1] mn := &mns[len(mns)-1] if err = mn.Unmarshal(metricName); err != nil { return nil, fmt.Errorf("cannot unmarshal metricName=%q: %w", metricName, err) } } return mns, nil } // searchTSIDs returns sorted TSIDs for the given tfss and the given tr. func (s *Storage) searchTSIDs(tfss []*TagFilters, tr TimeRange, maxMetrics int, deadline uint64) ([]TSID, error) { // Do not cache tfss -> tsids here, since the caching is performed // on idb level. // Limit the number of concurrent goroutines that may search TSIDS in the storage. // This should prevent from out of memory errors and CPU thrashing when too many // goroutines call searchTSIDs. select { case searchTSIDsConcurrencyCh <- struct{}{}: default: // Sleep for a while until giving up atomic.AddUint64(&s.searchTSIDsConcurrencyLimitReached, 1) currentTime := fasttime.UnixTimestamp() timeoutSecs := uint64(0) if currentTime < deadline { timeoutSecs = deadline - currentTime } timeout := time.Second * time.Duration(timeoutSecs) t := timerpool.Get(timeout) select { case searchTSIDsConcurrencyCh <- struct{}{}: timerpool.Put(t) case <-t.C: timerpool.Put(t) atomic.AddUint64(&s.searchTSIDsConcurrencyLimitTimeout, 1) return nil, fmt.Errorf("cannot search for tsids, since more than %d concurrent searches are performed during %.3f secs; add more CPUs or reduce query load", cap(searchTSIDsConcurrencyCh), timeout.Seconds()) } } tsids, err := s.idb().searchTSIDs(tfss, tr, maxMetrics, deadline) <-searchTSIDsConcurrencyCh if err != nil { return nil, fmt.Errorf("error when searching tsids: %w", err) } return tsids, nil } var ( // Limit the concurrency for TSID searches to GOMAXPROCS*2, since this operation // is CPU bound and sometimes disk IO bound, so there is no sense in running more // than GOMAXPROCS*2 concurrent goroutines for TSID searches. searchTSIDsConcurrencyCh = make(chan struct{}, cgroup.AvailableCPUs()*2) ) // prefetchMetricNames pre-fetches metric names for the given tsids into metricID->metricName cache. // // This should speed-up further searchMetricNameWithCache calls for metricIDs from tsids. func (s *Storage) prefetchMetricNames(tsids []TSID, deadline uint64) error { if len(tsids) == 0 { return nil } var metricIDs uint64Sorter prefetchedMetricIDs := s.prefetchedMetricIDs.Load().(*uint64set.Set) for i := range tsids { tsid := &tsids[i] metricID := tsid.MetricID if prefetchedMetricIDs.Has(metricID) { continue } metricIDs = append(metricIDs, metricID) } if len(metricIDs) < 500 { // It is cheaper to skip pre-fetching and obtain metricNames inline. return nil } atomic.AddUint64(&s.slowMetricNameLoads, uint64(len(metricIDs))) // Pre-fetch metricIDs. sort.Sort(metricIDs) var missingMetricIDs []uint64 var metricName []byte var err error idb := s.idb() is := idb.getIndexSearch(deadline) defer idb.putIndexSearch(is) for loops, metricID := range metricIDs { if loops&paceLimiterSlowIterationsMask == 0 { if err := checkSearchDeadlineAndPace(is.deadline); err != nil { return err } } metricName, err = is.searchMetricNameWithCache(metricName[:0], metricID) if err != nil { if err == io.EOF { missingMetricIDs = append(missingMetricIDs, metricID) continue } return fmt.Errorf("error in pre-fetching metricName for metricID=%d: %w", metricID, err) } } idb.doExtDB(func(extDB *indexDB) { is := extDB.getIndexSearch(deadline) defer extDB.putIndexSearch(is) for loops, metricID := range missingMetricIDs { if loops&paceLimiterSlowIterationsMask == 0 { if err = checkSearchDeadlineAndPace(is.deadline); err != nil { return } } metricName, err = is.searchMetricNameWithCache(metricName[:0], metricID) if err != nil && err != io.EOF { err = fmt.Errorf("error in pre-fetching metricName for metricID=%d in extDB: %w", metricID, err) return } } }) if err != nil { return err } // Store the pre-fetched metricIDs, so they aren't pre-fetched next time. s.prefetchedMetricIDsLock.Lock() var prefetchedMetricIDsNew *uint64set.Set if fasttime.UnixTimestamp() < atomic.LoadUint64(&s.prefetchedMetricIDsDeadline) { // Periodically reset the prefetchedMetricIDs in order to limit its size. prefetchedMetricIDsNew = &uint64set.Set{} atomic.StoreUint64(&s.prefetchedMetricIDsDeadline, fasttime.UnixTimestamp()+73*60) } else { prefetchedMetricIDsNew = prefetchedMetricIDs.Clone() } prefetchedMetricIDsNew.AddMulti(metricIDs) if prefetchedMetricIDsNew.SizeBytes() > uint64(memory.Allowed())/32 { // Reset prefetchedMetricIDsNew if it occupies too much space. prefetchedMetricIDsNew = &uint64set.Set{} } s.prefetchedMetricIDs.Store(prefetchedMetricIDsNew) s.prefetchedMetricIDsLock.Unlock() return nil } // ErrDeadlineExceeded is returned when the request times out. var ErrDeadlineExceeded = fmt.Errorf("deadline exceeded") // DeleteMetrics deletes all the metrics matching the given tfss. // // Returns the number of metrics deleted. func (s *Storage) DeleteMetrics(tfss []*TagFilters) (int, error) { deletedCount, err := s.idb().DeleteTSIDs(tfss) if err != nil { return deletedCount, fmt.Errorf("cannot delete tsids: %w", err) } // Do not reset MetricName->TSID cache in order to prevent from adding new data points // to deleted time series in Storage.add, since it is already reset inside DeleteTSIDs. // Do not reset MetricID->MetricName cache, since it must be used only // after filtering out deleted metricIDs. return deletedCount, nil } // SearchTagKeysOnTimeRange searches for tag keys on tr. func (s *Storage) SearchTagKeysOnTimeRange(tr TimeRange, maxTagKeys int, deadline uint64) ([]string, error) { return s.idb().SearchTagKeysOnTimeRange(tr, maxTagKeys, deadline) } // SearchTagKeys searches for tag keys func (s *Storage) SearchTagKeys(maxTagKeys int, deadline uint64) ([]string, error) { return s.idb().SearchTagKeys(maxTagKeys, deadline) } // SearchTagValuesOnTimeRange searches for tag values for the given tagKey on tr. func (s *Storage) SearchTagValuesOnTimeRange(tagKey []byte, tr TimeRange, maxTagValues int, deadline uint64) ([]string, error) { return s.idb().SearchTagValuesOnTimeRange(tagKey, tr, maxTagValues, deadline) } // SearchTagValues searches for tag values for the given tagKey func (s *Storage) SearchTagValues(tagKey []byte, maxTagValues int, deadline uint64) ([]string, error) { return s.idb().SearchTagValues(tagKey, maxTagValues, deadline) } // SearchTagValueSuffixes returns all the tag value suffixes for the given tagKey and tagValuePrefix on the given tr. // // This allows implementing https://graphite-api.readthedocs.io/en/latest/api.html#metrics-find or similar APIs. // // If more than maxTagValueSuffixes suffixes is found, then only the first maxTagValueSuffixes suffixes is returned. func (s *Storage) SearchTagValueSuffixes(tr TimeRange, tagKey, tagValuePrefix []byte, delimiter byte, maxTagValueSuffixes int, deadline uint64) ([]string, error) { return s.idb().SearchTagValueSuffixes(tr, tagKey, tagValuePrefix, delimiter, maxTagValueSuffixes, deadline) } // SearchGraphitePaths returns all the matching paths for the given graphite query on the given tr. func (s *Storage) SearchGraphitePaths(tr TimeRange, query []byte, maxPaths int, deadline uint64) ([]string, error) { query = replaceAlternateRegexpsWithGraphiteWildcards(query) return s.searchGraphitePaths(tr, nil, query, maxPaths, deadline) } // replaceAlternateRegexpsWithGraphiteWildcards replaces (foo|..|bar) with {foo,...,bar} in b and returns the new value. func replaceAlternateRegexpsWithGraphiteWildcards(b []byte) []byte { var dst []byte for { n := bytes.IndexByte(b, '(') if n < 0 { if len(dst) == 0 { // Fast path - b doesn't contain the openining brace. return b } dst = append(dst, b...) return dst } dst = append(dst, b[:n]...) b = b[n+1:] n = bytes.IndexByte(b, ')') if n < 0 { dst = append(dst, '(') dst = append(dst, b...) return dst } x := b[:n] b = b[n+1:] if string(x) == ".*" { dst = append(dst, '*') continue } dst = append(dst, '{') for len(x) > 0 { n = bytes.IndexByte(x, '|') if n < 0 { dst = append(dst, x...) break } dst = append(dst, x[:n]...) x = x[n+1:] dst = append(dst, ',') } dst = append(dst, '}') } } func (s *Storage) searchGraphitePaths(tr TimeRange, qHead, qTail []byte, maxPaths int, deadline uint64) ([]string, error) { n := bytes.IndexAny(qTail, "*[{") if n < 0 { // Verify that qHead matches a metric name. qHead = append(qHead, qTail...) suffixes, err := s.SearchTagValueSuffixes(tr, nil, qHead, '.', 1, deadline) if err != nil { return nil, err } if len(suffixes) == 0 { // The query doesn't match anything. return nil, nil } if len(suffixes[0]) > 0 { // The query matches a metric name with additional suffix. return nil, nil } return []string{string(qHead)}, nil } qHead = append(qHead, qTail[:n]...) suffixes, err := s.SearchTagValueSuffixes(tr, nil, qHead, '.', maxPaths, deadline) if err != nil { return nil, err } if len(suffixes) == 0 { return nil, nil } if len(suffixes) >= maxPaths { return nil, fmt.Errorf("more than maxPaths=%d suffixes found", maxPaths) } qNode := qTail[n:] qTail = nil mustMatchLeafs := true if m := bytes.IndexByte(qNode, '.'); m >= 0 { qTail = qNode[m+1:] qNode = qNode[:m+1] mustMatchLeafs = false } re, err := getRegexpForGraphiteQuery(string(qNode)) if err != nil { return nil, err } qHeadLen := len(qHead) var paths []string for _, suffix := range suffixes { if len(paths) > maxPaths { return nil, fmt.Errorf("more than maxPath=%d paths found", maxPaths) } if !re.MatchString(suffix) { continue } if mustMatchLeafs { qHead = append(qHead[:qHeadLen], suffix...) paths = append(paths, string(qHead)) continue } qHead = append(qHead[:qHeadLen], suffix...) ps, err := s.searchGraphitePaths(tr, qHead, qTail, maxPaths, deadline) if err != nil { return nil, err } paths = append(paths, ps...) } return paths, nil } func getRegexpForGraphiteQuery(q string) (*regexp.Regexp, error) { parts, tail := getRegexpPartsForGraphiteQuery(q) if len(tail) > 0 { return nil, fmt.Errorf("unexpected tail left after parsing %q: %q", q, tail) } reStr := "^" + strings.Join(parts, "") + "$" return regexp.Compile(reStr) } func getRegexpPartsForGraphiteQuery(q string) ([]string, string) { var parts []string for { n := strings.IndexAny(q, "*{}[,") if n < 0 { parts = append(parts, regexp.QuoteMeta(q)) return parts, "" } parts = append(parts, regexp.QuoteMeta(q[:n])) q = q[n:] switch q[0] { case ',', '}': return parts, q case '*': parts = append(parts, "[^.]*") q = q[1:] case '{': var tmp []string for { a, tail := getRegexpPartsForGraphiteQuery(q[1:]) tmp = append(tmp, strings.Join(a, "")) if len(tail) == 0 { parts = append(parts, regexp.QuoteMeta("{")) parts = append(parts, strings.Join(tmp, ",")) return parts, "" } if tail[0] == ',' { q = tail continue } if tail[0] == '}' { if len(tmp) == 1 { parts = append(parts, tmp[0]) } else { parts = append(parts, "(?:"+strings.Join(tmp, "|")+")") } q = tail[1:] break } logger.Panicf("BUG: unexpected first char at tail %q; want `.` or `}`", tail) } case '[': n := strings.IndexByte(q, ']') if n < 0 { parts = append(parts, regexp.QuoteMeta(q)) return parts, "" } parts = append(parts, q[:n+1]) q = q[n+1:] } } } // SearchTagEntries returns a list of (tagName -> tagValues) func (s *Storage) SearchTagEntries(maxTagKeys, maxTagValues int, deadline uint64) ([]TagEntry, error) { idb := s.idb() keys, err := idb.SearchTagKeys(maxTagKeys, deadline) if err != nil { return nil, fmt.Errorf("cannot search tag keys: %w", err) } // Sort keys for faster seeks below sort.Strings(keys) tes := make([]TagEntry, len(keys)) for i, key := range keys { values, err := idb.SearchTagValues([]byte(key), maxTagValues, deadline) if err != nil { return nil, fmt.Errorf("cannot search values for tag %q: %w", key, err) } te := &tes[i] te.Key = key te.Values = values } return tes, nil } // TagEntry contains (tagName -> tagValues) mapping type TagEntry struct { // Key is tagName Key string // Values contains all the values for Key. Values []string } // GetSeriesCount returns the approximate number of unique time series. // // It includes the deleted series too and may count the same series // up to two times - in db and extDB. func (s *Storage) GetSeriesCount(deadline uint64) (uint64, error) { return s.idb().GetSeriesCount(deadline) } // GetTSDBStatusWithFiltersForDate returns TSDB status data for /api/v1/status/tsdb with match[] filters. func (s *Storage) GetTSDBStatusWithFiltersForDate(tfss []*TagFilters, date uint64, topN, maxMetrics int, deadline uint64) (*TSDBStatus, error) { return s.idb().GetTSDBStatusWithFiltersForDate(tfss, date, topN, maxMetrics, deadline) } // MetricRow is a metric to insert into storage. type MetricRow struct { // MetricNameRaw contains raw metric name, which must be decoded // with MetricName.UnmarshalRaw. MetricNameRaw []byte Timestamp int64 Value float64 } // CopyFrom copies src to mr. func (mr *MetricRow) CopyFrom(src *MetricRow) { mr.MetricNameRaw = append(mr.MetricNameRaw[:0], src.MetricNameRaw...) mr.Timestamp = src.Timestamp mr.Value = src.Value } // String returns string representation of the mr. func (mr *MetricRow) String() string { metricName := string(mr.MetricNameRaw) var mn MetricName if err := mn.UnmarshalRaw(mr.MetricNameRaw); err == nil { metricName = mn.String() } return fmt.Sprintf("%s (Timestamp=%d, Value=%f)", metricName, mr.Timestamp, mr.Value) } // Marshal appends marshaled mr to dst and returns the result. func (mr *MetricRow) Marshal(dst []byte) []byte { dst = encoding.MarshalBytes(dst, mr.MetricNameRaw) dst = encoding.MarshalUint64(dst, uint64(mr.Timestamp)) dst = encoding.MarshalUint64(dst, math.Float64bits(mr.Value)) return dst } // UnmarshalX unmarshals mr from src and returns the remaining tail from src. // // mr refers to src, so it remains valid until src changes. func (mr *MetricRow) UnmarshalX(src []byte) ([]byte, error) { tail, metricNameRaw, err := encoding.UnmarshalBytes(src) if err != nil { return tail, fmt.Errorf("cannot unmarshal MetricName: %w", err) } mr.MetricNameRaw = metricNameRaw if len(tail) < 8 { return tail, fmt.Errorf("cannot unmarshal Timestamp: want %d bytes; have %d bytes", 8, len(tail)) } timestamp := encoding.UnmarshalUint64(tail) mr.Timestamp = int64(timestamp) tail = tail[8:] if len(tail) < 8 { return tail, fmt.Errorf("cannot unmarshal Value: want %d bytes; have %d bytes", 8, len(tail)) } value := encoding.UnmarshalUint64(tail) mr.Value = math.Float64frombits(value) tail = tail[8:] return tail, nil } // ForceMergePartitions force-merges partitions in s with names starting from the given partitionNamePrefix. // // Partitions are merged sequentially in order to reduce load on the system. func (s *Storage) ForceMergePartitions(partitionNamePrefix string) error { return s.tb.ForceMergePartitions(partitionNamePrefix) } var rowsAddedTotal uint64 // AddRows adds the given mrs to s. func (s *Storage) AddRows(mrs []MetricRow, precisionBits uint8) error { if len(mrs) == 0 { return nil } // Limit the number of concurrent goroutines that may add rows to the storage. // This should prevent from out of memory errors and CPU thrashing when too many // goroutines call AddRows. select { case addRowsConcurrencyCh <- struct{}{}: default: // Sleep for a while until giving up atomic.AddUint64(&s.addRowsConcurrencyLimitReached, 1) t := timerpool.Get(addRowsTimeout) // Prioritize data ingestion over concurrent searches. storagepacelimiter.Search.Inc() select { case addRowsConcurrencyCh <- struct{}{}: timerpool.Put(t) storagepacelimiter.Search.Dec() case <-t.C: timerpool.Put(t) storagepacelimiter.Search.Dec() atomic.AddUint64(&s.addRowsConcurrencyLimitTimeout, 1) atomic.AddUint64(&s.addRowsConcurrencyDroppedRows, uint64(len(mrs))) return fmt.Errorf("cannot add %d rows to storage in %s, since it is overloaded with %d concurrent writers; add more CPUs or reduce load", len(mrs), addRowsTimeout, cap(addRowsConcurrencyCh)) } } // Add rows to the storage in blocks with limited size in order to reduce memory usage. var firstErr error ic := getMetricRowsInsertCtx() maxBlockLen := len(ic.rrs) for len(mrs) > 0 { mrsBlock := mrs if len(mrs) > maxBlockLen { mrsBlock = mrs[:maxBlockLen] mrs = mrs[maxBlockLen:] } else { mrs = nil } if err := s.add(ic.rrs, ic.tmpMrs, mrsBlock, precisionBits); err != nil { if firstErr == nil { firstErr = err } continue } atomic.AddUint64(&rowsAddedTotal, uint64(len(mrsBlock))) } putMetricRowsInsertCtx(ic) <-addRowsConcurrencyCh return firstErr } type metricRowsInsertCtx struct { rrs []rawRow tmpMrs []*MetricRow } func getMetricRowsInsertCtx() *metricRowsInsertCtx { v := metricRowsInsertCtxPool.Get() if v == nil { v = &metricRowsInsertCtx{ rrs: make([]rawRow, maxMetricRowsPerBlock), tmpMrs: make([]*MetricRow, maxMetricRowsPerBlock), } } return v.(*metricRowsInsertCtx) } func putMetricRowsInsertCtx(ic *metricRowsInsertCtx) { tmpMrs := ic.tmpMrs for i := range tmpMrs { tmpMrs[i] = nil } metricRowsInsertCtxPool.Put(ic) } var metricRowsInsertCtxPool sync.Pool const maxMetricRowsPerBlock = 8000 var ( // Limit the concurrency for data ingestion to GOMAXPROCS, since this operation // is CPU bound, so there is no sense in running more than GOMAXPROCS concurrent // goroutines on data ingestion path. addRowsConcurrencyCh = make(chan struct{}, cgroup.AvailableCPUs()) addRowsTimeout = 30 * time.Second ) // RegisterMetricNames registers all the metric names from mns in the indexdb, so they can be queried later. // // The the MetricRow.Timestamp is used for registering the metric name starting from the given timestamp. // Th MetricRow.Value field is ignored. func (s *Storage) RegisterMetricNames(mrs []MetricRow) error { var ( metricName []byte ) var genTSID generationTSID mn := GetMetricName() defer PutMetricName(mn) idb := s.idb() is := idb.getIndexSearch(noDeadline) defer idb.putIndexSearch(is) for i := range mrs { mr := &mrs[i] if s.getTSIDFromCache(&genTSID, mr.MetricNameRaw) { if genTSID.generation != idb.generation { // The found entry is from the previous cache generation // so attempt to re-populate the current generation with this entry. // This is needed for https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1401 created, err := idb.maybeCreateIndexes(&genTSID.TSID, mr.MetricNameRaw) if err != nil { return fmt.Errorf("cannot create indexes in the current indexdb: %w", err) } if created { genTSID.generation = idb.generation s.putTSIDToCache(&genTSID, mr.MetricNameRaw) } } // Fast path - mr.MetricNameRaw has been already registered. continue } // Slow path - register mr.MetricNameRaw. if err := mn.UnmarshalRaw(mr.MetricNameRaw); err != nil { return fmt.Errorf("cannot register the metric because cannot unmarshal MetricNameRaw %q: %w", mr.MetricNameRaw, err) } mn.sortTags() metricName = mn.Marshal(metricName[:0]) if err := is.GetOrCreateTSIDByName(&genTSID.TSID, metricName); err != nil { return fmt.Errorf("cannot register the metric because cannot create TSID for metricName %q: %w", metricName, err) } s.putTSIDToCache(&genTSID, mr.MetricNameRaw) // Register the metric in per-day inverted index. date := uint64(mr.Timestamp) / msecPerDay metricID := genTSID.TSID.MetricID if s.dateMetricIDCache.Has(date, metricID) { // Fast path: the metric has been already registered in per-day inverted index continue } // Slow path: acutally register the metric in per-day inverted index. ok, err := is.hasDateMetricID(date, metricID) if err != nil { return fmt.Errorf("cannot register the metric in per-date inverted index because of error when locating (date=%d, metricID=%d) in database: %w", date, metricID, err) } if !ok { // The (date, metricID) entry is missing in the indexDB. Add it there. if err := is.storeDateMetricID(date, metricID, mn); err != nil { return fmt.Errorf("cannot register the metric in per-date inverted index because of error when storing (date=%d, metricID=%d) in database: %w", date, metricID, err) } } // The metric must be added to cache only after it has been successfully added to indexDB. s.dateMetricIDCache.Set(date, metricID) } return nil } func (s *Storage) add(rows []rawRow, dstMrs []*MetricRow, mrs []MetricRow, precisionBits uint8) error { idb := s.idb() j := 0 var ( // These vars are used for speeding up bulk imports of multiple adjacent rows for the same metricName. prevTSID TSID prevMetricNameRaw []byte ) var pmrs *pendingMetricRows minTimestamp, maxTimestamp := s.tb.getMinMaxTimestamps() var genTSID generationTSID // Return only the first error, since it has no sense in returning all errors. var firstWarn error for i := range mrs { mr := &mrs[i] if math.IsNaN(mr.Value) { if !decimal.IsStaleNaN(mr.Value) { // Skip NaNs other than Prometheus staleness marker, since the underlying encoding // doesn't know how to work with them. continue } } if mr.Timestamp < minTimestamp { // Skip rows with too small timestamps outside the retention. if firstWarn == nil { metricName := getUserReadableMetricName(mr.MetricNameRaw) firstWarn = fmt.Errorf("cannot insert row with too small timestamp %d outside the retention; minimum allowed timestamp is %d; "+ "probably you need updating -retentionPeriod command-line flag; metricName: %s", mr.Timestamp, minTimestamp, metricName) } atomic.AddUint64(&s.tooSmallTimestampRows, 1) continue } if mr.Timestamp > maxTimestamp { // Skip rows with too big timestamps significantly exceeding the current time. if firstWarn == nil { metricName := getUserReadableMetricName(mr.MetricNameRaw) firstWarn = fmt.Errorf("cannot insert row with too big timestamp %d exceeding the current time; maximum allowed timestamp is %d; metricName: %s", mr.Timestamp, maxTimestamp, metricName) } atomic.AddUint64(&s.tooBigTimestampRows, 1) continue } dstMrs[j] = mr r := &rows[j] j++ r.Timestamp = mr.Timestamp r.Value = mr.Value r.PrecisionBits = precisionBits if string(mr.MetricNameRaw) == string(prevMetricNameRaw) { // Fast path - the current mr contains the same metric name as the previous mr, so it contains the same TSID. // This path should trigger on bulk imports when many rows contain the same MetricNameRaw. r.TSID = prevTSID continue } if s.getTSIDFromCache(&genTSID, mr.MetricNameRaw) { r.TSID = genTSID.TSID if s.isSeriesCardinalityExceeded(r.TSID.MetricID, mr.MetricNameRaw) { // Skip the row, since the limit on the number of unique series has been exceeded. j-- continue } // Fast path - the TSID for the given MetricNameRaw has been found in cache and isn't deleted. // There is no need in checking whether r.TSID.MetricID is deleted, since tsidCache doesn't // contain MetricName->TSID entries for deleted time series. // See Storage.DeleteMetrics code for details. prevTSID = r.TSID prevMetricNameRaw = mr.MetricNameRaw if genTSID.generation != idb.generation { // The found entry is from the previous cache generation // so attempt to re-populate the current generation with this entry. // This is needed for https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1401 created, err := idb.maybeCreateIndexes(&genTSID.TSID, mr.MetricNameRaw) if err != nil { return fmt.Errorf("cannot create indexes in the current indexdb: %w", err) } if created { genTSID.generation = idb.generation s.putTSIDToCache(&genTSID, mr.MetricNameRaw) } } continue } // Slow path - the TSID is missing in the cache. // Postpone its search in the loop below. j-- if pmrs == nil { pmrs = getPendingMetricRows() } if err := pmrs.addRow(mr); err != nil { // Do not stop adding rows on error - just skip invalid row. // This guarantees that invalid rows don't prevent // from adding valid rows into the storage. if firstWarn == nil { firstWarn = err } continue } } if pmrs != nil { // Sort pendingMetricRows by canonical metric name in order to speed up search via `is` in the loop below. pendingMetricRows := pmrs.pmrs sort.Slice(pendingMetricRows, func(i, j int) bool { return string(pendingMetricRows[i].MetricName) < string(pendingMetricRows[j].MetricName) }) is := idb.getIndexSearch(noDeadline) prevMetricNameRaw = nil var slowInsertsCount uint64 for i := range pendingMetricRows { pmr := &pendingMetricRows[i] mr := pmr.mr dstMrs[j] = mr r := &rows[j] j++ r.Timestamp = mr.Timestamp r.Value = mr.Value r.PrecisionBits = precisionBits if string(mr.MetricNameRaw) == string(prevMetricNameRaw) { // Fast path - the current mr contains the same metric name as the previous mr, so it contains the same TSID. // This path should trigger on bulk imports when many rows contain the same MetricNameRaw. r.TSID = prevTSID if s.isSeriesCardinalityExceeded(r.TSID.MetricID, mr.MetricNameRaw) { // Skip the row, since the limit on the number of unique series has been exceeded. j-- continue } continue } slowInsertsCount++ if err := is.GetOrCreateTSIDByName(&r.TSID, pmr.MetricName); err != nil { // Do not stop adding rows on error - just skip invalid row. // This guarantees that invalid rows don't prevent // from adding valid rows into the storage. if firstWarn == nil { firstWarn = fmt.Errorf("cannot obtain or create TSID for MetricName %q: %w", pmr.MetricName, err) } j-- continue } genTSID.generation = idb.generation genTSID.TSID = r.TSID s.putTSIDToCache(&genTSID, mr.MetricNameRaw) prevTSID = r.TSID prevMetricNameRaw = mr.MetricNameRaw if s.isSeriesCardinalityExceeded(r.TSID.MetricID, mr.MetricNameRaw) { // Skip the row, since the limit on the number of unique series has been exceeded. j-- continue } } idb.putIndexSearch(is) putPendingMetricRows(pmrs) atomic.AddUint64(&s.slowRowInserts, slowInsertsCount) } if firstWarn != nil { logger.WithThrottler("storageAddRows", 5*time.Second).Warnf("warn occurred during rows addition: %s", firstWarn) } dstMrs = dstMrs[:j] rows = rows[:j] var firstError error if err := s.tb.AddRows(rows); err != nil { firstError = fmt.Errorf("cannot add rows to table: %w", err) } if err := s.updatePerDateData(rows, dstMrs); err != nil && firstError == nil { firstError = fmt.Errorf("cannot update per-date data: %w", err) } if firstError != nil { return fmt.Errorf("error occurred during rows addition: %w", firstError) } return nil } func (s *Storage) isSeriesCardinalityExceeded(metricID uint64, metricNameRaw []byte) bool { if sl := s.hourlySeriesLimiter; sl != nil && !sl.Add(metricID) { atomic.AddUint64(&s.hourlySeriesLimitRowsDropped, 1) logSkippedSeries(metricNameRaw, "-storage.maxHourlySeries", sl.MaxItems()) return true } if sl := s.dailySeriesLimiter; sl != nil && !sl.Add(metricID) { atomic.AddUint64(&s.dailySeriesLimitRowsDropped, 1) logSkippedSeries(metricNameRaw, "-storage.maxDailySeries", sl.MaxItems()) return true } return false } func logSkippedSeries(metricNameRaw []byte, flagName string, flagValue int) { select { case <-logSkippedSeriesTicker.C: // Do not use logger.WithThrottler() here, since this will result in increased CPU load // because of getUserReadableMetricName() calls per each logSkippedSeries call. logger.Warnf("skip series %s because %s=%d reached", getUserReadableMetricName(metricNameRaw), flagName, flagValue) default: } } var logSkippedSeriesTicker = time.NewTicker(5 * time.Second) func getUserReadableMetricName(metricNameRaw []byte) string { mn := GetMetricName() defer PutMetricName(mn) if err := mn.UnmarshalRaw(metricNameRaw); err != nil { return fmt.Sprintf("cannot unmarshal metricNameRaw %q: %s", metricNameRaw, err) } return mn.String() } type pendingMetricRow struct { MetricName []byte mr *MetricRow } type pendingMetricRows struct { pmrs []pendingMetricRow metricNamesBuf []byte lastMetricNameRaw []byte lastMetricName []byte mn MetricName } func (pmrs *pendingMetricRows) reset() { for _, pmr := range pmrs.pmrs { pmr.MetricName = nil pmr.mr = nil } pmrs.pmrs = pmrs.pmrs[:0] pmrs.metricNamesBuf = pmrs.metricNamesBuf[:0] pmrs.lastMetricNameRaw = nil pmrs.lastMetricName = nil pmrs.mn.Reset() } func (pmrs *pendingMetricRows) addRow(mr *MetricRow) error { // Do not spend CPU time on re-calculating canonical metricName during bulk import // of many rows for the same metric. if string(mr.MetricNameRaw) != string(pmrs.lastMetricNameRaw) { if err := pmrs.mn.UnmarshalRaw(mr.MetricNameRaw); err != nil { return fmt.Errorf("cannot unmarshal MetricNameRaw %q: %w", mr.MetricNameRaw, err) } pmrs.mn.sortTags() metricNamesBufLen := len(pmrs.metricNamesBuf) pmrs.metricNamesBuf = pmrs.mn.Marshal(pmrs.metricNamesBuf) pmrs.lastMetricName = pmrs.metricNamesBuf[metricNamesBufLen:] pmrs.lastMetricNameRaw = mr.MetricNameRaw } pmrs.pmrs = append(pmrs.pmrs, pendingMetricRow{ MetricName: pmrs.lastMetricName, mr: mr, }) return nil } func getPendingMetricRows() *pendingMetricRows { v := pendingMetricRowsPool.Get() if v == nil { v = &pendingMetricRows{} } return v.(*pendingMetricRows) } func putPendingMetricRows(pmrs *pendingMetricRows) { pmrs.reset() pendingMetricRowsPool.Put(pmrs) } var pendingMetricRowsPool sync.Pool func (s *Storage) updatePerDateData(rows []rawRow, mrs []*MetricRow) error { var date uint64 var hour uint64 var prevTimestamp int64 var ( // These vars are used for speeding up bulk imports when multiple adjacent rows // contain the same (metricID, date) pairs. prevDate uint64 prevMetricID uint64 ) hm := s.currHourMetricIDs.Load().(*hourMetricIDs) hmPrev := s.prevHourMetricIDs.Load().(*hourMetricIDs) hmPrevDate := hmPrev.hour / 24 nextDayMetricIDs := &s.nextDayMetricIDs.Load().(*byDateMetricIDEntry).v ts := fasttime.UnixTimestamp() // Start pre-populating the next per-day inverted index during the last hour of the current day. // pMin linearly increases from 0 to 1 during the last hour of the day. pMin := (float64(ts%(3600*24)) / 3600) - 23 type pendingDateMetricID struct { date uint64 metricID uint64 mr *MetricRow } var pendingDateMetricIDs []pendingDateMetricID var pendingNextDayMetricIDs []uint64 var pendingHourEntries []uint64 for i := range rows { r := &rows[i] if r.Timestamp != prevTimestamp { date = uint64(r.Timestamp) / msecPerDay hour = uint64(r.Timestamp) / msecPerHour prevTimestamp = r.Timestamp } metricID := r.TSID.MetricID if metricID == prevMetricID && date == prevDate { // Fast path for bulk import of multiple rows with the same (date, metricID) pairs. continue } prevDate = date prevMetricID = metricID if hour == hm.hour { // The r belongs to the current hour. Check for the current hour cache. if hm.m.Has(metricID) { // Fast path: the metricID is in the current hour cache. // This means the metricID has been already added to per-day inverted index. // Gradually pre-populate per-day inverted index for the next day during the last hour of the current day. // This should reduce CPU usage spike and slowdown at the beginning of the next day // when entries for all the active time series must be added to the index. // This should address https://github.com/VictoriaMetrics/VictoriaMetrics/issues/430 . if pMin > 0 { p := float64(uint32(fastHashUint64(metricID))) / (1 << 32) if p < pMin && !nextDayMetricIDs.Has(metricID) { pendingDateMetricIDs = append(pendingDateMetricIDs, pendingDateMetricID{ date: date + 1, metricID: metricID, mr: mrs[i], }) pendingNextDayMetricIDs = append(pendingNextDayMetricIDs, metricID) } } continue } pendingHourEntries = append(pendingHourEntries, metricID) if date == hmPrevDate && hmPrev.m.Has(metricID) { // The metricID is already registered for the current day on the previous hour. continue } } // Slower path: check global cache for (date, metricID) entry. if s.dateMetricIDCache.Has(date, metricID) { continue } // Slow path: store the (date, metricID) entry in the indexDB. pendingDateMetricIDs = append(pendingDateMetricIDs, pendingDateMetricID{ date: date, metricID: metricID, mr: mrs[i], }) } if len(pendingNextDayMetricIDs) > 0 { s.pendingNextDayMetricIDsLock.Lock() s.pendingNextDayMetricIDs.AddMulti(pendingNextDayMetricIDs) s.pendingNextDayMetricIDsLock.Unlock() } if len(pendingHourEntries) > 0 { s.pendingHourEntriesLock.Lock() s.pendingHourEntries.AddMulti(pendingHourEntries) s.pendingHourEntriesLock.Unlock() } if len(pendingDateMetricIDs) == 0 { // Fast path - there are no new (date, metricID) entires in rows. return nil } // Slow path - add new (date, metricID) entries to indexDB. atomic.AddUint64(&s.slowPerDayIndexInserts, uint64(len(pendingDateMetricIDs))) // Sort pendingDateMetricIDs by (date, metricID) in order to speed up `is` search in the loop below. sort.Slice(pendingDateMetricIDs, func(i, j int) bool { a := pendingDateMetricIDs[i] b := pendingDateMetricIDs[j] if a.date != b.date { return a.date < b.date } return a.metricID < b.metricID }) idb := s.idb() is := idb.getIndexSearch(noDeadline) defer idb.putIndexSearch(is) var firstError error dateMetricIDsForCache := make([]dateMetricID, 0, len(pendingDateMetricIDs)) mn := GetMetricName() for _, dmid := range pendingDateMetricIDs { date := dmid.date metricID := dmid.metricID ok, err := is.hasDateMetricID(date, metricID) if err != nil { if firstError == nil { firstError = fmt.Errorf("error when locating (date=%d, metricID=%d) in database: %w", date, metricID, err) } continue } if !ok { // The (date, metricID) entry is missing in the indexDB. Add it there. // It is OK if the (date, metricID) entry is added multiple times to db // by concurrent goroutines. if err := mn.UnmarshalRaw(dmid.mr.MetricNameRaw); err != nil { if firstError == nil { firstError = fmt.Errorf("cannot unmarshal MetricNameRaw %q: %w", dmid.mr.MetricNameRaw, err) } continue } mn.sortTags() if err := is.storeDateMetricID(date, metricID, mn); err != nil { if firstError == nil { firstError = fmt.Errorf("error when storing (date=%d, metricID=%d) in database: %w", date, metricID, err) } continue } } dateMetricIDsForCache = append(dateMetricIDsForCache, dateMetricID{ date: date, metricID: metricID, }) } PutMetricName(mn) // The (date, metricID) entries must be added to cache only after they have been successfully added to indexDB. s.dateMetricIDCache.Store(dateMetricIDsForCache) return firstError } func fastHashUint64(x uint64) uint64 { x ^= x >> 12 // a x ^= x << 25 // b x ^= x >> 27 // c return x * 2685821657736338717 } // dateMetricIDCache is fast cache for holding (date, metricID) entries. // // It should be faster than map[date]*uint64set.Set on multicore systems. type dateMetricIDCache struct { // 64-bit counters must be at the top of the structure to be properly aligned on 32-bit arches. syncsCount uint64 resetsCount uint64 // Contains immutable map byDate atomic.Value // Contains mutable map protected by mu byDateMutable *byDateMetricIDMap nextSyncDeadline uint64 mu sync.Mutex } func newDateMetricIDCache() *dateMetricIDCache { var dmc dateMetricIDCache dmc.resetLocked() return &dmc } func (dmc *dateMetricIDCache) Reset() { dmc.mu.Lock() dmc.resetLocked() dmc.mu.Unlock() } func (dmc *dateMetricIDCache) resetLocked() { // Do not reset syncsCount and resetsCount dmc.byDate.Store(newByDateMetricIDMap()) dmc.byDateMutable = newByDateMetricIDMap() dmc.nextSyncDeadline = 10 + fasttime.UnixTimestamp() atomic.AddUint64(&dmc.resetsCount, 1) } func (dmc *dateMetricIDCache) EntriesCount() int { byDate := dmc.byDate.Load().(*byDateMetricIDMap) n := 0 for _, e := range byDate.m { n += e.v.Len() } return n } func (dmc *dateMetricIDCache) SizeBytes() uint64 { byDate := dmc.byDate.Load().(*byDateMetricIDMap) n := uint64(0) for _, e := range byDate.m { n += e.v.SizeBytes() } return n } func (dmc *dateMetricIDCache) Has(date, metricID uint64) bool { byDate := dmc.byDate.Load().(*byDateMetricIDMap) v := byDate.get(date) if v.Has(metricID) { // Fast path. // The majority of calls must go here. return true } // Slow path. Check mutable map. dmc.mu.Lock() v = dmc.byDateMutable.get(date) ok := v.Has(metricID) dmc.syncLockedIfNeeded() dmc.mu.Unlock() return ok } type dateMetricID struct { date uint64 metricID uint64 } func (dmc *dateMetricIDCache) Store(dmids []dateMetricID) { var prevDate uint64 metricIDs := make([]uint64, 0, len(dmids)) dmc.mu.Lock() for _, dmid := range dmids { if prevDate == dmid.date { metricIDs = append(metricIDs, dmid.metricID) continue } if len(metricIDs) > 0 { v := dmc.byDateMutable.getOrCreate(prevDate) v.AddMulti(metricIDs) } metricIDs = append(metricIDs[:0], dmid.metricID) prevDate = dmid.date } if len(metricIDs) > 0 { v := dmc.byDateMutable.getOrCreate(prevDate) v.AddMulti(metricIDs) } dmc.mu.Unlock() } func (dmc *dateMetricIDCache) Set(date, metricID uint64) { dmc.mu.Lock() v := dmc.byDateMutable.getOrCreate(date) v.Add(metricID) dmc.mu.Unlock() } func (dmc *dateMetricIDCache) syncLockedIfNeeded() { currentTime := fasttime.UnixTimestamp() if currentTime >= dmc.nextSyncDeadline { dmc.nextSyncDeadline = currentTime + 10 dmc.syncLocked() } } func (dmc *dateMetricIDCache) syncLocked() { if len(dmc.byDateMutable.m) == 0 { // Nothing to sync. return } byDate := dmc.byDate.Load().(*byDateMetricIDMap) byDateMutable := dmc.byDateMutable for date, e := range byDateMutable.m { v := byDate.get(date) if v == nil { continue } v = v.Clone() v.Union(&e.v) byDateMutable.m[date] = &byDateMetricIDEntry{ date: date, v: *v, } } for date, e := range byDate.m { v := byDateMutable.get(date) if v != nil { continue } byDateMutable.m[date] = e } dmc.byDate.Store(dmc.byDateMutable) dmc.byDateMutable = newByDateMetricIDMap() atomic.AddUint64(&dmc.syncsCount, 1) if dmc.SizeBytes() > uint64(memory.Allowed())/256 { dmc.resetLocked() } } type byDateMetricIDMap struct { hotEntry atomic.Value m map[uint64]*byDateMetricIDEntry } func newByDateMetricIDMap() *byDateMetricIDMap { dmm := &byDateMetricIDMap{ m: make(map[uint64]*byDateMetricIDEntry), } dmm.hotEntry.Store(&byDateMetricIDEntry{}) return dmm } func (dmm *byDateMetricIDMap) get(date uint64) *uint64set.Set { hotEntry := dmm.hotEntry.Load().(*byDateMetricIDEntry) if hotEntry.date == date { // Fast path return &hotEntry.v } // Slow path e := dmm.m[date] if e == nil { return nil } dmm.hotEntry.Store(e) return &e.v } func (dmm *byDateMetricIDMap) getOrCreate(date uint64) *uint64set.Set { v := dmm.get(date) if v != nil { return v } e := &byDateMetricIDEntry{ date: date, } dmm.m[date] = e return &e.v } type byDateMetricIDEntry struct { date uint64 v uint64set.Set } func (s *Storage) updateNextDayMetricIDs() { date := fasttime.UnixDate() e := s.nextDayMetricIDs.Load().(*byDateMetricIDEntry) s.pendingNextDayMetricIDsLock.Lock() pendingMetricIDs := s.pendingNextDayMetricIDs s.pendingNextDayMetricIDs = &uint64set.Set{} s.pendingNextDayMetricIDsLock.Unlock() if pendingMetricIDs.Len() == 0 && e.date == date { // Fast path: nothing to update. return } // Slow path: union pendingMetricIDs with e.v if e.date == date { pendingMetricIDs.Union(&e.v) } eNew := &byDateMetricIDEntry{ date: date, v: *pendingMetricIDs, } s.nextDayMetricIDs.Store(eNew) } func (s *Storage) updateCurrHourMetricIDs() { hm := s.currHourMetricIDs.Load().(*hourMetricIDs) s.pendingHourEntriesLock.Lock() newMetricIDs := s.pendingHourEntries s.pendingHourEntries = &uint64set.Set{} s.pendingHourEntriesLock.Unlock() hour := fasttime.UnixHour() if newMetricIDs.Len() == 0 && hm.hour == hour { // Fast path: nothing to update. return } // Slow path: hm.m must be updated with non-empty s.pendingHourEntries. var m *uint64set.Set isFull := hm.isFull if hm.hour == hour { m = hm.m.Clone() } else { m = &uint64set.Set{} isFull = true } m.Union(newMetricIDs) hmNew := &hourMetricIDs{ m: m, hour: hour, isFull: isFull, } s.currHourMetricIDs.Store(hmNew) if hm.hour != hour { s.prevHourMetricIDs.Store(hm) } } type hourMetricIDs struct { m *uint64set.Set hour uint64 isFull bool } type generationTSID struct { TSID TSID // generation stores the indexdb.generation value to identify to which indexdb belongs this TSID generation uint64 } func (s *Storage) getTSIDFromCache(dst *generationTSID, metricName []byte) bool { buf := (*[unsafe.Sizeof(*dst)]byte)(unsafe.Pointer(dst))[:] buf = s.tsidCache.Get(buf[:0], metricName) return uintptr(len(buf)) == unsafe.Sizeof(*dst) } func (s *Storage) putTSIDToCache(tsid *generationTSID, metricName []byte) { buf := (*[unsafe.Sizeof(*tsid)]byte)(unsafe.Pointer(tsid))[:] s.tsidCache.Set(metricName, buf) } func (s *Storage) openIndexDBTables(path string) (curr, prev *indexDB, err error) { if err := fs.MkdirAllIfNotExist(path); err != nil { return nil, nil, fmt.Errorf("cannot create directory %q: %w", path, err) } d, err := os.Open(path) if err != nil { return nil, nil, fmt.Errorf("cannot open directory: %w", err) } defer fs.MustClose(d) // Search for the two most recent tables - the last one is active, // the previous one contains backup data. fis, err := d.Readdir(-1) if err != nil { return nil, nil, fmt.Errorf("cannot read directory: %w", err) } var tableNames []string for _, fi := range fis { if !fs.IsDirOrSymlink(fi) { // Skip non-directories. continue } tableName := fi.Name() if !indexDBTableNameRegexp.MatchString(tableName) { // Skip invalid directories. continue } tableNames = append(tableNames, tableName) } sort.Slice(tableNames, func(i, j int) bool { return tableNames[i] < tableNames[j] }) if len(tableNames) < 2 { // Create missing tables if len(tableNames) == 0 { prevName := nextIndexDBTableName() tableNames = append(tableNames, prevName) } currName := nextIndexDBTableName() tableNames = append(tableNames, currName) } // Invariant: len(tableNames) >= 2 // Remove all the tables except two last tables. for _, tn := range tableNames[:len(tableNames)-2] { pathToRemove := path + "/" + tn logger.Infof("removing obsolete indexdb dir %q...", pathToRemove) fs.MustRemoveAll(pathToRemove) logger.Infof("removed obsolete indexdb dir %q", pathToRemove) } // Persist changes on the file system. fs.MustSyncPath(path) // Open the last two tables. currPath := path + "/" + tableNames[len(tableNames)-1] curr, err = openIndexDB(currPath, s, 0) if err != nil { return nil, nil, fmt.Errorf("cannot open curr indexdb table at %q: %w", currPath, err) } prevPath := path + "/" + tableNames[len(tableNames)-2] prev, err = openIndexDB(prevPath, s, 0) if err != nil { curr.MustClose() return nil, nil, fmt.Errorf("cannot open prev indexdb table at %q: %w", prevPath, err) } return curr, prev, nil } var indexDBTableNameRegexp = regexp.MustCompile("^[0-9A-F]{16}$") func nextIndexDBTableName() string { n := atomic.AddUint64(&indexDBTableIdx, 1) return fmt.Sprintf("%016X", n) } var indexDBTableIdx = uint64(time.Now().UnixNano())