mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
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2a5c6e1cd5
Creating snapshot shouldn't time out under normal conditions.
The timeout was related to the bug, which has been fixed in 6460475e3b .
Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3551
2771 lines
86 KiB
Go
2771 lines
86 KiB
Go
package storage
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import (
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"bytes"
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"fmt"
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"io"
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"math"
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"os"
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"path/filepath"
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"regexp"
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"sort"
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"strings"
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"sync"
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"sync/atomic"
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"time"
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"unsafe"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/backup/backupnames"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/bloomfilter"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/decimal"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/encoding"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/fasttime"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/fs"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/memory"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/querytracer"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/snapshot/snapshotutil"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/timeutil"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/uint64set"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/workingsetcache"
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"github.com/VictoriaMetrics/fastcache"
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"github.com/VictoriaMetrics/metricsql"
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)
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const (
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retention31Days = 31 * 24 * time.Hour
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retentionMax = 100 * 12 * retention31Days
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)
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// Storage represents TSDB storage.
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type Storage struct {
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// Atomic counters must go at the top of the structure in order to properly align by 8 bytes on 32-bit archs.
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// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/212 .
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tooSmallTimestampRows uint64
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tooBigTimestampRows uint64
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timeseriesRepopulated uint64
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timeseriesPreCreated uint64
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newTimeseriesCreated uint64
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slowRowInserts uint64
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slowPerDayIndexInserts uint64
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slowMetricNameLoads uint64
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hourlySeriesLimitRowsDropped uint64
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dailySeriesLimitRowsDropped uint64
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// nextRotationTimestamp is a timestamp in seconds of the next indexdb rotation.
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//
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// It is used for gradual pre-population of the idbNext during the last hour before the indexdb rotation.
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// in order to reduce spikes in CPU and disk IO usage just after the rotiation.
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// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1401
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nextRotationTimestamp int64
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path string
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cachePath string
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retentionMsecs int64
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// lock file for exclusive access to the storage on the given path.
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flockF *os.File
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// idbCurr contains the currently used indexdb.
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idbCurr atomic.Pointer[indexDB]
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// idbNext is the next indexdb, which will become idbCurr at the next rotation.
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//
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// It is started to be gradually pre-populated with the data for active time series during the last hour
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// before nextRotationTimestamp.
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// This reduces spikes in CPU and disk IO usage just after the rotiation.
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// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1401
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idbNext atomic.Pointer[indexDB]
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tb *table
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// Series cardinality limiters.
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hourlySeriesLimiter *bloomfilter.Limiter
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dailySeriesLimiter *bloomfilter.Limiter
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// tsidCache is MetricName -> TSID cache.
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tsidCache *workingsetcache.Cache
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// metricIDCache is MetricID -> TSID cache.
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metricIDCache *workingsetcache.Cache
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// metricNameCache is MetricID -> MetricName cache.
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metricNameCache *workingsetcache.Cache
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// dateMetricIDCache is (generation, Date, MetricID) cache, where generation is the indexdb generation.
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// See generationTSID for details.
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dateMetricIDCache *dateMetricIDCache
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// Fast cache for MetricID values occurred during the current hour.
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currHourMetricIDs atomic.Pointer[hourMetricIDs]
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// Fast cache for MetricID values occurred during the previous hour.
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prevHourMetricIDs atomic.Pointer[hourMetricIDs]
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// Fast cache for pre-populating per-day inverted index for the next day.
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// This is needed in order to remove CPU usage spikes at 00:00 UTC
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// due to creation of per-day inverted index for active time series.
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// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/430 for details.
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nextDayMetricIDs atomic.Pointer[byDateMetricIDEntry]
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// Pending MetricID values to be added to currHourMetricIDs.
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pendingHourEntriesLock sync.Mutex
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pendingHourEntries []pendingHourMetricIDEntry
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// Pending MetricIDs to be added to nextDayMetricIDs.
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pendingNextDayMetricIDsLock sync.Mutex
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pendingNextDayMetricIDs *uint64set.Set
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// prefetchedMetricIDs contains metricIDs for pre-fetched metricNames in the prefetchMetricNames function.
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prefetchedMetricIDsLock sync.Mutex
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prefetchedMetricIDs *uint64set.Set
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// prefetchedMetricIDsDeadline is used for periodic reset of prefetchedMetricIDs in order to limit its size under high rate of creating new series.
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prefetchedMetricIDsDeadline uint64
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stop chan struct{}
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currHourMetricIDsUpdaterWG sync.WaitGroup
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nextDayMetricIDsUpdaterWG sync.WaitGroup
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retentionWatcherWG sync.WaitGroup
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freeDiskSpaceWatcherWG sync.WaitGroup
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// The snapshotLock prevents from concurrent creation of snapshots,
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// since this may result in snapshots without recently added data,
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// which may be in the process of flushing to disk by concurrently running
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// snapshot process.
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snapshotLock sync.Mutex
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// The minimum timestamp when composite index search can be used.
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minTimestampForCompositeIndex int64
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// An inmemory set of deleted metricIDs.
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//
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// It is safe to keep the set in memory even for big number of deleted
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// metricIDs, since it usually requires 1 bit per deleted metricID.
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deletedMetricIDs atomic.Pointer[uint64set.Set]
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deletedMetricIDsUpdateLock sync.Mutex
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isReadOnly uint32
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}
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type pendingHourMetricIDEntry struct {
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AccountID uint32
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ProjectID uint32
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MetricID uint64
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}
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type accountProjectKey struct {
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AccountID uint32
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ProjectID uint32
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}
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// MustOpenStorage opens storage on the given path with the given retentionMsecs.
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func MustOpenStorage(path string, retention time.Duration, maxHourlySeries, maxDailySeries int) *Storage {
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path, err := filepath.Abs(path)
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if err != nil {
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logger.Panicf("FATAL: cannot determine absolute path for %q: %s", path, err)
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}
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if retention <= 0 || retention > retentionMax {
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retention = retentionMax
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}
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s := &Storage{
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path: path,
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cachePath: filepath.Join(path, cacheDirname),
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retentionMsecs: retention.Milliseconds(),
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stop: make(chan struct{}),
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}
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fs.MustMkdirIfNotExist(path)
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// Check whether the cache directory must be removed
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// It is removed if it contains resetCacheOnStartupFilename.
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// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1447 for details.
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if fs.IsPathExist(filepath.Join(s.cachePath, resetCacheOnStartupFilename)) {
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logger.Infof("removing cache directory at %q, since it contains `%s` file...", s.cachePath, resetCacheOnStartupFilename)
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// Do not use fs.MustRemoveAll() here, since the cache directory may be mounted
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// to a separate filesystem. In this case the fs.MustRemoveAll() will fail while
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// trying to remove the mount root.
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fs.RemoveDirContents(s.cachePath)
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logger.Infof("cache directory at %q has been successfully removed", s.cachePath)
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}
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// Protect from concurrent opens.
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s.flockF = fs.MustCreateFlockFile(path)
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// Check whether restore process finished successfully
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restoreLockF := filepath.Join(path, backupnames.RestoreInProgressFilename)
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if fs.IsPathExist(restoreLockF) {
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logger.Panicf("FATAL: incomplete vmrestore run; run vmrestore again or remove lock file %q", restoreLockF)
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}
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// Pre-create snapshots directory if it is missing.
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snapshotsPath := filepath.Join(path, snapshotsDirname)
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fs.MustMkdirIfNotExist(snapshotsPath)
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fs.MustRemoveTemporaryDirs(snapshotsPath)
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// Initialize series cardinality limiter.
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if maxHourlySeries > 0 {
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s.hourlySeriesLimiter = bloomfilter.NewLimiter(maxHourlySeries, time.Hour)
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}
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if maxDailySeries > 0 {
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s.dailySeriesLimiter = bloomfilter.NewLimiter(maxDailySeries, 24*time.Hour)
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}
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// Load caches.
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mem := memory.Allowed()
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s.tsidCache = s.mustLoadCache("metricName_tsid", getTSIDCacheSize())
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s.metricIDCache = s.mustLoadCache("metricID_tsid", mem/16)
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s.metricNameCache = s.mustLoadCache("metricID_metricName", mem/10)
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s.dateMetricIDCache = newDateMetricIDCache()
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hour := fasttime.UnixHour()
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hmCurr := s.mustLoadHourMetricIDs(hour, "curr_hour_metric_ids")
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hmPrev := s.mustLoadHourMetricIDs(hour-1, "prev_hour_metric_ids")
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s.currHourMetricIDs.Store(hmCurr)
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s.prevHourMetricIDs.Store(hmPrev)
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s.pendingNextDayMetricIDs = &uint64set.Set{}
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s.prefetchedMetricIDs = &uint64set.Set{}
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// Load metadata
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metadataDir := filepath.Join(path, metadataDirname)
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isEmptyDB := !fs.IsPathExist(filepath.Join(path, indexdbDirname))
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fs.MustMkdirIfNotExist(metadataDir)
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s.minTimestampForCompositeIndex = mustGetMinTimestampForCompositeIndex(metadataDir, isEmptyDB)
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// Load indexdb
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idbPath := filepath.Join(path, indexdbDirname)
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idbSnapshotsPath := filepath.Join(idbPath, snapshotsDirname)
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fs.MustMkdirIfNotExist(idbSnapshotsPath)
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fs.MustRemoveTemporaryDirs(idbSnapshotsPath)
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idbNext, idbCurr, idbPrev := s.mustOpenIndexDBTables(idbPath)
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idbCurr.SetExtDB(idbPrev)
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idbNext.SetExtDB(idbCurr)
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s.idbCurr.Store(idbCurr)
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s.idbNext.Store(idbNext)
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// Initialize nextRotationTimestamp
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nowSecs := int64(fasttime.UnixTimestamp())
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retentionSecs := retention.Milliseconds() / 1000 // not .Seconds() because unnecessary float64 conversion
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nextRotationTimestamp := nextRetentionDeadlineSeconds(nowSecs, retentionSecs, retentionTimezoneOffsetSecs)
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atomic.StoreInt64(&s.nextRotationTimestamp, nextRotationTimestamp)
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// Load nextDayMetricIDs cache
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date := fasttime.UnixDate()
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nextDayMetricIDs := s.mustLoadNextDayMetricIDs(idbCurr.generation, date)
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s.nextDayMetricIDs.Store(nextDayMetricIDs)
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// Load deleted metricIDs from idbCurr and idbPrev
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dmisCurr, err := idbCurr.loadDeletedMetricIDs()
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if err != nil {
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logger.Panicf("FATAL: cannot load deleted metricIDs for the current indexDB at %q: %s", path, err)
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}
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dmisPrev, err := idbPrev.loadDeletedMetricIDs()
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if err != nil {
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logger.Panicf("FATAL: cannot load deleted metricIDs for the previous indexDB at %q: %s", path, err)
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}
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s.setDeletedMetricIDs(dmisCurr)
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s.updateDeletedMetricIDs(dmisPrev)
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// check for free disk space before opening the table
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// to prevent unexpected part merges. See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/4023
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s.startFreeDiskSpaceWatcher()
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// Load data
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tablePath := filepath.Join(path, dataDirname)
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tb := mustOpenTable(tablePath, s)
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s.tb = tb
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s.startCurrHourMetricIDsUpdater()
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s.startNextDayMetricIDsUpdater()
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s.startRetentionWatcher()
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return s
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}
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// RetentionMsecs returns retentionMsecs for s.
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func (s *Storage) RetentionMsecs() int64 {
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return s.retentionMsecs
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}
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var maxTSIDCacheSize int
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// SetTSIDCacheSize overrides the default size of storage/tsid cache
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func SetTSIDCacheSize(size int) {
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maxTSIDCacheSize = size
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}
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func getTSIDCacheSize() int {
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if maxTSIDCacheSize <= 0 {
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return int(float64(memory.Allowed()) * 0.37)
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}
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return maxTSIDCacheSize
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}
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func (s *Storage) getDeletedMetricIDs() *uint64set.Set {
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return s.deletedMetricIDs.Load()
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}
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func (s *Storage) setDeletedMetricIDs(dmis *uint64set.Set) {
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s.deletedMetricIDs.Store(dmis)
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}
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func (s *Storage) updateDeletedMetricIDs(metricIDs *uint64set.Set) {
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s.deletedMetricIDsUpdateLock.Lock()
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dmisOld := s.getDeletedMetricIDs()
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dmisNew := dmisOld.Clone()
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dmisNew.Union(metricIDs)
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s.setDeletedMetricIDs(dmisNew)
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s.deletedMetricIDsUpdateLock.Unlock()
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}
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// DebugFlush makes sure all the recently added data is visible to search.
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//
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// Note: this function doesn't store all the in-memory data to disk - it just converts
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// recently added items to searchable parts, which can be stored either in memory
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// (if they are quite small) or to persistent disk.
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//
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// This function is for debugging and testing purposes only,
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// since it may slow down data ingestion when used frequently.
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func (s *Storage) DebugFlush() {
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s.tb.flushPendingRows()
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idb := s.idb()
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idb.tb.DebugFlush()
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idb.doExtDB(func(extDB *indexDB) {
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extDB.tb.DebugFlush()
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})
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}
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// CreateSnapshot creates snapshot for s and returns the snapshot name.
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func (s *Storage) CreateSnapshot() (string, error) {
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logger.Infof("creating Storage snapshot for %q...", s.path)
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startTime := time.Now()
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s.snapshotLock.Lock()
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defer s.snapshotLock.Unlock()
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var dirsToRemoveOnError []string
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defer func() {
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for _, dir := range dirsToRemoveOnError {
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fs.MustRemoveAll(dir)
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}
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}()
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snapshotName := snapshotutil.NewName()
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srcDir := s.path
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dstDir := filepath.Join(srcDir, snapshotsDirname, snapshotName)
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fs.MustMkdirFailIfExist(dstDir)
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dirsToRemoveOnError = append(dirsToRemoveOnError, dstDir)
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smallDir, bigDir := s.tb.MustCreateSnapshot(snapshotName)
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dirsToRemoveOnError = append(dirsToRemoveOnError, smallDir, bigDir)
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dstDataDir := filepath.Join(dstDir, dataDirname)
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fs.MustMkdirFailIfExist(dstDataDir)
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dstSmallDir := filepath.Join(dstDataDir, smallDirname)
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fs.MustSymlinkRelative(smallDir, dstSmallDir)
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dstBigDir := filepath.Join(dstDataDir, bigDirname)
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fs.MustSymlinkRelative(bigDir, dstBigDir)
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fs.MustSyncPath(dstDataDir)
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srcMetadataDir := filepath.Join(srcDir, metadataDirname)
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dstMetadataDir := filepath.Join(dstDir, metadataDirname)
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fs.MustCopyDirectory(srcMetadataDir, dstMetadataDir)
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idbSnapshot := filepath.Join(srcDir, indexdbDirname, snapshotsDirname, snapshotName)
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idb := s.idb()
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currSnapshot := filepath.Join(idbSnapshot, idb.name)
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if err := idb.tb.CreateSnapshotAt(currSnapshot); err != nil {
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return "", fmt.Errorf("cannot create curr indexDB snapshot: %w", err)
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}
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dirsToRemoveOnError = append(dirsToRemoveOnError, idbSnapshot)
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var err error
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ok := idb.doExtDB(func(extDB *indexDB) {
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prevSnapshot := filepath.Join(idbSnapshot, extDB.name)
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err = extDB.tb.CreateSnapshotAt(prevSnapshot)
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})
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if ok && err != nil {
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return "", fmt.Errorf("cannot create prev indexDB snapshot: %w", err)
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}
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dstIdbDir := filepath.Join(dstDir, indexdbDirname)
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fs.MustSymlinkRelative(idbSnapshot, dstIdbDir)
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fs.MustSyncPath(dstDir)
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logger.Infof("created Storage snapshot for %q at %q in %.3f seconds", srcDir, dstDir, time.Since(startTime).Seconds())
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dirsToRemoveOnError = nil
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return snapshotName, nil
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}
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func (s *Storage) mustGetSnapshotsCount() int {
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snapshotNames, err := s.ListSnapshots()
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if err != nil {
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logger.Panicf("FATAL: cannot list snapshots: %s", err)
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}
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return len(snapshotNames)
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}
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// ListSnapshots returns sorted list of existing snapshots for s.
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func (s *Storage) ListSnapshots() ([]string, error) {
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snapshotsPath := filepath.Join(s.path, snapshotsDirname)
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d, err := os.Open(snapshotsPath)
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if err != nil {
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return nil, fmt.Errorf("cannot open snapshots directory: %w", err)
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}
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defer fs.MustClose(d)
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fnames, err := d.Readdirnames(-1)
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if err != nil {
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return nil, fmt.Errorf("cannot read snapshots directory at %q: %w", snapshotsPath, err)
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}
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snapshotNames := make([]string, 0, len(fnames))
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for _, fname := range fnames {
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if err := snapshotutil.Validate(fname); err != nil {
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continue
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}
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snapshotNames = append(snapshotNames, fname)
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}
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sort.Strings(snapshotNames)
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return snapshotNames, nil
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}
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// DeleteSnapshot deletes the given snapshot.
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func (s *Storage) DeleteSnapshot(snapshotName string) error {
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if err := snapshotutil.Validate(snapshotName); err != nil {
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return fmt.Errorf("invalid snapshotName %q: %w", snapshotName, err)
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}
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snapshotPath := filepath.Join(s.path, snapshotsDirname, snapshotName)
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logger.Infof("deleting snapshot %q...", snapshotPath)
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startTime := time.Now()
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s.tb.MustDeleteSnapshot(snapshotName)
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idbPath := filepath.Join(s.path, indexdbDirname, snapshotsDirname, snapshotName)
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fs.MustRemoveDirAtomic(idbPath)
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fs.MustRemoveDirAtomic(snapshotPath)
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logger.Infof("deleted snapshot %q in %.3f seconds", snapshotPath, time.Since(startTime).Seconds())
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return nil
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}
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// DeleteStaleSnapshots deletes snapshot older than given maxAge
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func (s *Storage) DeleteStaleSnapshots(maxAge time.Duration) error {
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list, err := s.ListSnapshots()
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if err != nil {
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return err
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}
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expireDeadline := time.Now().UTC().Add(-maxAge)
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for _, snapshotName := range list {
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t, err := snapshotutil.Time(snapshotName)
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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()
|
|
}
|
|
|
|
// Metrics contains essential metrics for the Storage.
|
|
type Metrics struct {
|
|
RowsAddedTotal uint64
|
|
DedupsDuringMerge uint64
|
|
SnapshotsCount uint64
|
|
|
|
TooSmallTimestampRows uint64
|
|
TooBigTimestampRows uint64
|
|
|
|
TimeseriesRepopulated uint64
|
|
TimeseriesPreCreated uint64
|
|
NewTimeseriesCreated uint64
|
|
SlowRowInserts uint64
|
|
SlowPerDayIndexInserts uint64
|
|
SlowMetricNameLoads uint64
|
|
|
|
HourlySeriesLimitRowsDropped uint64
|
|
HourlySeriesLimitMaxSeries uint64
|
|
HourlySeriesLimitCurrentSeries uint64
|
|
|
|
DailySeriesLimitRowsDropped uint64
|
|
DailySeriesLimitMaxSeries uint64
|
|
DailySeriesLimitCurrentSeries 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
|
|
|
|
NextRetentionSeconds 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.SnapshotsCount += uint64(s.mustGetSnapshotsCount())
|
|
|
|
m.TooSmallTimestampRows += atomic.LoadUint64(&s.tooSmallTimestampRows)
|
|
m.TooBigTimestampRows += atomic.LoadUint64(&s.tooBigTimestampRows)
|
|
|
|
m.TimeseriesRepopulated += atomic.LoadUint64(&s.timeseriesRepopulated)
|
|
m.TimeseriesPreCreated += atomic.LoadUint64(&s.timeseriesPreCreated)
|
|
m.NewTimeseriesCreated += atomic.LoadUint64(&s.newTimeseriesCreated)
|
|
m.SlowRowInserts += atomic.LoadUint64(&s.slowRowInserts)
|
|
m.SlowPerDayIndexInserts += atomic.LoadUint64(&s.slowPerDayIndexInserts)
|
|
m.SlowMetricNameLoads += atomic.LoadUint64(&s.slowMetricNameLoads)
|
|
|
|
if sl := s.hourlySeriesLimiter; sl != nil {
|
|
m.HourlySeriesLimitRowsDropped += atomic.LoadUint64(&s.hourlySeriesLimitRowsDropped)
|
|
m.HourlySeriesLimitMaxSeries += uint64(sl.MaxItems())
|
|
m.HourlySeriesLimitCurrentSeries += uint64(sl.CurrentItems())
|
|
}
|
|
|
|
if sl := s.dailySeriesLimiter; sl != nil {
|
|
m.DailySeriesLimitRowsDropped += atomic.LoadUint64(&s.dailySeriesLimitRowsDropped)
|
|
m.DailySeriesLimitMaxSeries += uint64(sl.MaxItems())
|
|
m.DailySeriesLimitCurrentSeries += uint64(sl.CurrentItems())
|
|
}
|
|
|
|
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()
|
|
hmPrev := s.prevHourMetricIDs.Load()
|
|
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().v
|
|
m.NextDayMetricIDCacheSize += uint64(nextDayMetricIDs.Len())
|
|
m.NextDayMetricIDCacheSizeBytes += nextDayMetricIDs.SizeBytes()
|
|
|
|
s.prefetchedMetricIDsLock.Lock()
|
|
prefetchedMetricIDs := s.prefetchedMetricIDs
|
|
m.PrefetchedMetricIDsSize += uint64(prefetchedMetricIDs.Len())
|
|
m.PrefetchedMetricIDsSizeBytes += uint64(prefetchedMetricIDs.SizeBytes())
|
|
s.prefetchedMetricIDsLock.Unlock()
|
|
|
|
d := s.nextRetentionSeconds()
|
|
if d < 0 {
|
|
d = 0
|
|
}
|
|
m.NextRetentionSeconds = uint64(d)
|
|
|
|
s.idb().UpdateMetrics(&m.IndexDBMetrics)
|
|
s.tb.UpdateMetrics(&m.TableMetrics)
|
|
}
|
|
|
|
func (s *Storage) nextRetentionSeconds() int64 {
|
|
return atomic.LoadInt64(&s.nextRotationTimestamp) - int64(fasttime.UnixTimestamp())
|
|
}
|
|
|
|
// 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 int64) {
|
|
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
|
|
//
|
|
// Use atomic.LoadUint32 in front of atomic.CompareAndSwapUint32 in order to avoid slow inter-CPU synchronization
|
|
// when the storage is already in read-only mode.
|
|
if atomic.LoadUint32(&s.isReadOnly) == 0 && atomic.CompareAndSwapUint32(&s.isReadOnly, 0, 1) {
|
|
// log notification only on state change
|
|
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)
|
|
}
|
|
return
|
|
}
|
|
// Use atomic.LoadUint32 in front of atomic.CompareAndSwapUint32 in order to avoid slow inter-CPU synchronization
|
|
// when the storage isn't in read-only mode.
|
|
if atomic.LoadUint32(&s.isReadOnly) == 1 && atomic.CompareAndSwapUint32(&s.isReadOnly, 1, 0) {
|
|
s.notifyReadWriteMode()
|
|
logger.Warnf("switching the storage at %s to read-write mode, 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()
|
|
d := timeutil.AddJitterToDuration(time.Second)
|
|
ticker := time.NewTicker(d)
|
|
defer ticker.Stop()
|
|
for {
|
|
select {
|
|
case <-s.stop:
|
|
return
|
|
case <-ticker.C:
|
|
f()
|
|
}
|
|
}
|
|
}()
|
|
}
|
|
|
|
func (s *Storage) notifyReadWriteMode() {
|
|
s.tb.NotifyReadWriteMode()
|
|
|
|
idb := s.idb()
|
|
idb.tb.NotifyReadWriteMode()
|
|
idb.doExtDB(func(extDB *indexDB) {
|
|
extDB.tb.NotifyReadWriteMode()
|
|
})
|
|
}
|
|
|
|
func (s *Storage) startRetentionWatcher() {
|
|
s.retentionWatcherWG.Add(1)
|
|
go func() {
|
|
s.retentionWatcher()
|
|
s.retentionWatcherWG.Done()
|
|
}()
|
|
}
|
|
|
|
func (s *Storage) retentionWatcher() {
|
|
for {
|
|
d := s.nextRetentionSeconds()
|
|
select {
|
|
case <-s.stop:
|
|
return
|
|
case currentTime := <-time.After(time.Second * time.Duration(d)):
|
|
s.mustRotateIndexDB(currentTime)
|
|
}
|
|
}
|
|
}
|
|
|
|
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()
|
|
}()
|
|
}
|
|
|
|
func (s *Storage) currHourMetricIDsUpdater() {
|
|
d := timeutil.AddJitterToDuration(time.Second * 10)
|
|
ticker := time.NewTicker(d)
|
|
defer ticker.Stop()
|
|
for {
|
|
select {
|
|
case <-s.stop:
|
|
hour := fasttime.UnixHour()
|
|
s.updateCurrHourMetricIDs(hour)
|
|
return
|
|
case <-ticker.C:
|
|
hour := fasttime.UnixHour()
|
|
s.updateCurrHourMetricIDs(hour)
|
|
}
|
|
}
|
|
}
|
|
|
|
func (s *Storage) nextDayMetricIDsUpdater() {
|
|
d := timeutil.AddJitterToDuration(time.Second * 11)
|
|
ticker := time.NewTicker(d)
|
|
defer ticker.Stop()
|
|
for {
|
|
select {
|
|
case <-s.stop:
|
|
date := fasttime.UnixDate()
|
|
s.updateNextDayMetricIDs(date)
|
|
return
|
|
case <-ticker.C:
|
|
date := fasttime.UnixDate()
|
|
s.updateNextDayMetricIDs(date)
|
|
}
|
|
}
|
|
}
|
|
|
|
func (s *Storage) mustRotateIndexDB(currentTime time.Time) {
|
|
// Create new indexdb table, which will be used as idbNext
|
|
newTableName := nextIndexDBTableName()
|
|
idbNewPath := filepath.Join(s.path, indexdbDirname, newTableName)
|
|
idbNew := mustOpenIndexDB(idbNewPath, s, &s.isReadOnly)
|
|
|
|
// Update nextRotationTimestamp
|
|
nextRotationTimestamp := currentTime.Unix() + s.retentionMsecs/1000
|
|
atomic.StoreInt64(&s.nextRotationTimestamp, nextRotationTimestamp)
|
|
|
|
// Set idbNext to idbNew
|
|
idbNext := s.idbNext.Load()
|
|
idbNew.SetExtDB(idbNext)
|
|
s.idbNext.Store(idbNew)
|
|
|
|
// Set idbCurr to idbNext
|
|
idbCurr := s.idb()
|
|
s.idbCurr.Store(idbNext)
|
|
|
|
// Schedule data removal for idbPrev
|
|
idbCurr.doExtDB(func(extDB *indexDB) {
|
|
extDB.scheduleToDrop()
|
|
})
|
|
idbCurr.SetExtDB(nil)
|
|
|
|
// Persist changes on the file system.
|
|
fs.MustSyncPath(s.path)
|
|
|
|
// Do not flush tsidCache to avoid read/write path slowdown.
|
|
// The cache is automatically re-populated with new TSID entries
|
|
// with the updated indexdb generation.
|
|
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1401
|
|
|
|
// Flush metric id caches for the current and the previous hour,
|
|
// since they may contain entries missing in idbCurr after the rotation.
|
|
// This should prevent from missing data in queries when
|
|
// the following steps are performed for short -retentionPeriod (e.g. 1 day):
|
|
//
|
|
// 1. Add samples for some series between 3-4 UTC. These series are registered in currHourMetricIDs.
|
|
// 2. The indexdb rotation is performed at 4 UTC. currHourMetricIDs is moved to prevHourMetricIDs.
|
|
// 3. Continue adding samples for series from step 1 during time range 4-5 UTC.
|
|
// These series are already registered in prevHourMetricIDs, so VM doesn't add per-day entries to the current indexdb.
|
|
// 4. Stop adding new samples for these series just before 5 UTC.
|
|
// 5. The next indexdb rotation is performed at 4 UTC next day.
|
|
// The information about the series added at step 3 disappears from indexdb, since the old indexdb from step 1 is deleted,
|
|
// while the current indexdb doesn't contain information about the series.
|
|
// So queries for the last 24 hours stop returning samples added at step 3.
|
|
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2698
|
|
s.pendingHourEntriesLock.Lock()
|
|
s.pendingHourEntries = nil
|
|
s.pendingHourEntriesLock.Unlock()
|
|
s.currHourMetricIDs.Store(&hourMetricIDs{})
|
|
s.prevHourMetricIDs.Store(&hourMetricIDs{})
|
|
|
|
// Do not flush dateMetricIDCache, since it contains entries prefixed with idb generation.
|
|
|
|
// There is no need in resetting nextDayMetricIDs, since it contains entries prefixed with idb generation.
|
|
|
|
// Do not flush metricIDCache and metricNameCache, since all the metricIDs
|
|
// from prev idb remain valid after the rotation.
|
|
}
|
|
|
|
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")
|
|
}
|
|
|
|
// 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")
|
|
s.tsidCache.Stop()
|
|
s.mustSaveCache(s.metricIDCache, "metricID_tsid")
|
|
s.metricIDCache.Stop()
|
|
s.mustSaveCache(s.metricNameCache, "metricID_metricName")
|
|
s.metricNameCache.Stop()
|
|
|
|
hmCurr := s.currHourMetricIDs.Load()
|
|
s.mustSaveHourMetricIDs(hmCurr, "curr_hour_metric_ids")
|
|
hmPrev := s.prevHourMetricIDs.Load()
|
|
s.mustSaveHourMetricIDs(hmPrev, "prev_hour_metric_ids")
|
|
|
|
nextDayMetricIDs := s.nextDayMetricIDs.Load()
|
|
s.mustSaveNextDayMetricIDs(nextDayMetricIDs)
|
|
|
|
// Release lock file.
|
|
fs.MustClose(s.flockF)
|
|
s.flockF = nil
|
|
|
|
// Stop series limiters.
|
|
if sl := s.hourlySeriesLimiter; sl != nil {
|
|
sl.MustStop()
|
|
}
|
|
if sl := s.dailySeriesLimiter; sl != nil {
|
|
sl.MustStop()
|
|
}
|
|
}
|
|
|
|
func (s *Storage) mustLoadNextDayMetricIDs(generation, date uint64) *byDateMetricIDEntry {
|
|
e := &byDateMetricIDEntry{
|
|
k: generationDateKey{
|
|
generation: generation,
|
|
date: date,
|
|
},
|
|
}
|
|
name := "next_day_metric_ids_v2"
|
|
path := filepath.Join(s.cachePath, name)
|
|
if !fs.IsPathExist(path) {
|
|
return e
|
|
}
|
|
src, err := os.ReadFile(path)
|
|
if err != nil {
|
|
logger.Panicf("FATAL: cannot read %s: %s", path, err)
|
|
}
|
|
if len(src) < 24 {
|
|
logger.Errorf("discarding %s, since it has broken header; got %d bytes; want %d bytes", path, len(src), 24)
|
|
return e
|
|
}
|
|
|
|
// Unmarshal header
|
|
generationLoaded := encoding.UnmarshalUint64(src)
|
|
src = src[8:]
|
|
if generationLoaded != generation {
|
|
logger.Infof("discarding %s, since it contains data for stale generation; got %d; want %d", path, generationLoaded, generation)
|
|
}
|
|
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
|
|
return e
|
|
}
|
|
|
|
func (s *Storage) mustLoadHourMetricIDs(hour uint64, name string) *hourMetricIDs {
|
|
hm := &hourMetricIDs{
|
|
hour: hour,
|
|
}
|
|
path := filepath.Join(s.cachePath, name)
|
|
if !fs.IsPathExist(path) {
|
|
return hm
|
|
}
|
|
src, err := os.ReadFile(path)
|
|
if err != nil {
|
|
logger.Panicf("FATAL: cannot read %s: %s", path, err)
|
|
}
|
|
if len(src) < 16 {
|
|
logger.Errorf("discarding %s, since it has broken header; got %d bytes; want %d bytes", path, len(src), 16)
|
|
return hm
|
|
}
|
|
|
|
// Unmarshal header
|
|
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
|
|
}
|
|
src = tail
|
|
|
|
// Unmarshal hm.byTenant
|
|
if len(src) < 8 {
|
|
logger.Errorf("discarding %s, since it has broken hm.byTenant header; got %d bytes; want %d bytes", path, len(src), 8)
|
|
return hm
|
|
}
|
|
byTenantLen := encoding.UnmarshalUint64(src)
|
|
src = src[8:]
|
|
byTenant := make(map[accountProjectKey]*uint64set.Set, byTenantLen)
|
|
for i := uint64(0); i < byTenantLen; i++ {
|
|
if len(src) < 16 {
|
|
logger.Errorf("discarding %s, since it has broken accountID:projectID prefix; got %d bytes; want %d bytes", path, len(src), 16)
|
|
return hm
|
|
}
|
|
accountID := encoding.UnmarshalUint32(src)
|
|
src = src[4:]
|
|
projectID := encoding.UnmarshalUint32(src)
|
|
src = src[4:]
|
|
mLen := encoding.UnmarshalUint64(src)
|
|
src = src[8:]
|
|
if uint64(len(src)) < 8*mLen {
|
|
logger.Errorf("discarding %s, since it has broken accountID:projectID entry; got %d bytes; want %d bytes", path, len(src), 8*mLen)
|
|
return hm
|
|
}
|
|
m := &uint64set.Set{}
|
|
for j := uint64(0); j < mLen; j++ {
|
|
metricID := encoding.UnmarshalUint64(src)
|
|
src = src[8:]
|
|
m.Add(metricID)
|
|
}
|
|
k := accountProjectKey{
|
|
AccountID: accountID,
|
|
ProjectID: projectID,
|
|
}
|
|
byTenant[k] = m
|
|
}
|
|
|
|
hm.m = m
|
|
hm.byTenant = byTenant
|
|
return hm
|
|
}
|
|
|
|
func (s *Storage) mustSaveNextDayMetricIDs(e *byDateMetricIDEntry) {
|
|
name := "next_day_metric_ids_v2"
|
|
path := filepath.Join(s.cachePath, name)
|
|
dst := make([]byte, 0, e.v.Len()*8+16)
|
|
|
|
// Marshal header
|
|
dst = encoding.MarshalUint64(dst, e.k.generation)
|
|
dst = encoding.MarshalUint64(dst, e.k.date)
|
|
|
|
// Marshal e.v
|
|
dst = marshalUint64Set(dst, &e.v)
|
|
|
|
if err := os.WriteFile(path, dst, 0644); err != nil {
|
|
logger.Panicf("FATAL: cannot write %d bytes to %q: %s", len(dst), path, err)
|
|
}
|
|
}
|
|
|
|
func (s *Storage) mustSaveHourMetricIDs(hm *hourMetricIDs, name string) {
|
|
path := filepath.Join(s.cachePath, name)
|
|
dst := make([]byte, 0, hm.m.Len()*8+24)
|
|
|
|
// Marshal header
|
|
dst = encoding.MarshalUint64(dst, hm.hour)
|
|
|
|
// Marshal hm.m
|
|
dst = marshalUint64Set(dst, hm.m)
|
|
|
|
// Marshal hm.byTenant
|
|
var metricIDs []uint64
|
|
dst = encoding.MarshalUint64(dst, uint64(len(hm.byTenant)))
|
|
for k, e := range hm.byTenant {
|
|
dst = encoding.MarshalUint32(dst, k.AccountID)
|
|
dst = encoding.MarshalUint32(dst, k.ProjectID)
|
|
dst = encoding.MarshalUint64(dst, uint64(e.Len()))
|
|
metricIDs = e.AppendTo(metricIDs[:0])
|
|
for _, metricID := range metricIDs {
|
|
dst = encoding.MarshalUint64(dst, metricID)
|
|
}
|
|
}
|
|
|
|
if err := os.WriteFile(path, dst, 0644); err != nil {
|
|
logger.Panicf("FATAL: cannot write %d bytes to %q: %s", len(dst), path, err)
|
|
}
|
|
}
|
|
|
|
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 := filepath.Join(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)
|
|
fs.MustWriteAtomic(path, dateBuf, true)
|
|
return minTimestamp
|
|
}
|
|
|
|
func loadMinTimestampForCompositeIndex(path string) (int64, error) {
|
|
data, err := os.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(name string, sizeBytes int) *workingsetcache.Cache {
|
|
path := filepath.Join(s.cachePath, name)
|
|
return workingsetcache.Load(path, sizeBytes)
|
|
}
|
|
|
|
func (s *Storage) mustSaveCache(c *workingsetcache.Cache, name string) {
|
|
saveCacheLock.Lock()
|
|
defer saveCacheLock.Unlock()
|
|
|
|
path := filepath.Join(s.cachePath, name)
|
|
if err := c.Save(path); err != nil {
|
|
logger.Panicf("FATAL: cannot save cache to %q: %s", path, err)
|
|
}
|
|
}
|
|
|
|
// saveCacheLock prevents from data races when multiple concurrent goroutines save the same cache.
|
|
var saveCacheLock sync.Mutex
|
|
|
|
// SetRetentionTimezoneOffset sets the offset, which is used for calculating the time for indexdb rotation.
|
|
// See https://github.com/VictoriaMetrics/VictoriaMetrics/pull/2574
|
|
func SetRetentionTimezoneOffset(offset time.Duration) {
|
|
retentionTimezoneOffsetSecs = int64(offset.Seconds())
|
|
}
|
|
|
|
var retentionTimezoneOffsetSecs int64
|
|
|
|
func nextRetentionDeadlineSeconds(atSecs, retentionSecs, offsetSecs int64) int64 {
|
|
// Round retentionSecs to days. This guarantees that per-day inverted index works as expected
|
|
const secsPerDay = 24 * 3600
|
|
retentionSecs = ((retentionSecs + secsPerDay - 1) / secsPerDay) * secsPerDay
|
|
|
|
// Schedule the deadline to +4 hours from the next retention period start
|
|
// because of historical reasons - see https://github.com/VictoriaMetrics/VictoriaMetrics/issues/248
|
|
offsetSecs -= 4 * 3600
|
|
|
|
// Make sure that offsetSecs doesn't exceed retentionSecs
|
|
offsetSecs %= retentionSecs
|
|
|
|
// align the retention deadline to multiples of retentionSecs
|
|
// This makes the deadline independent of atSecs.
|
|
deadline := ((atSecs + offsetSecs + retentionSecs - 1) / retentionSecs) * retentionSecs
|
|
|
|
// Apply the provided offsetSecs
|
|
deadline -= offsetSecs
|
|
|
|
return deadline
|
|
}
|
|
|
|
// SearchMetricNames returns marshaled metric names matching the given tfss on the given tr.
|
|
//
|
|
// The marshaled metric names must be unmarshaled via MetricName.UnmarshalString().
|
|
func (s *Storage) SearchMetricNames(qt *querytracer.Tracer, tfss []*TagFilters, tr TimeRange, maxMetrics int, deadline uint64) ([]string, error) {
|
|
qt = qt.NewChild("search for matching metric names: filters=%s, timeRange=%s", tfss, &tr)
|
|
defer qt.Done()
|
|
|
|
metricIDs, err := s.idb().searchMetricIDs(qt, tfss, tr, maxMetrics, deadline)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if len(metricIDs) == 0 || len(tfss) == 0 {
|
|
return nil, nil
|
|
}
|
|
accountID := tfss[0].accountID
|
|
projectID := tfss[0].projectID
|
|
if err = s.prefetchMetricNames(qt, accountID, projectID, metricIDs, deadline); err != nil {
|
|
return nil, err
|
|
}
|
|
idb := s.idb()
|
|
metricNames := make([]string, 0, len(metricIDs))
|
|
metricNamesSeen := make(map[string]struct{}, len(metricIDs))
|
|
var metricName []byte
|
|
for i, metricID := range metricIDs {
|
|
if i&paceLimiterSlowIterationsMask == 0 {
|
|
if err := checkSearchDeadlineAndPace(deadline); err != nil {
|
|
return nil, err
|
|
}
|
|
}
|
|
var ok bool
|
|
metricName, ok = idb.searchMetricNameWithCache(metricName[:0], metricID, accountID, projectID)
|
|
if !ok {
|
|
// Skip missing metricName for metricID.
|
|
// It should be automatically fixed. See indexDB.searchMetricName for details.
|
|
continue
|
|
}
|
|
if _, ok := metricNamesSeen[string(metricName)]; ok {
|
|
// The given metric name was already seen; skip it
|
|
continue
|
|
}
|
|
metricNames = append(metricNames, string(metricName))
|
|
metricNamesSeen[metricNames[len(metricNames)-1]] = struct{}{}
|
|
}
|
|
qt.Printf("loaded %d metric names", len(metricNames))
|
|
return metricNames, nil
|
|
}
|
|
|
|
// prefetchMetricNames pre-fetches metric names for the given srcMetricIDs into metricID->metricName cache.
|
|
//
|
|
// It is expected that all the metricIDs belong to the same (accountID, projectID)
|
|
//
|
|
// This should speed-up further searchMetricNameWithCache calls for srcMetricIDs from tsids.
|
|
//
|
|
// It is expected that srcMetricIDs are already sorted by the caller. Otherwise the pre-fetching may be slow.
|
|
func (s *Storage) prefetchMetricNames(qt *querytracer.Tracer, accountID, projectID uint32, srcMetricIDs []uint64, deadline uint64) error {
|
|
qt = qt.NewChild("prefetch metric names for %d metricIDs", len(srcMetricIDs))
|
|
defer qt.Done()
|
|
|
|
if len(srcMetricIDs) < 500 {
|
|
qt.Printf("skip pre-fetching metric names for low number of metric ids=%d", len(srcMetricIDs))
|
|
return nil
|
|
}
|
|
|
|
var metricIDs []uint64
|
|
s.prefetchedMetricIDsLock.Lock()
|
|
prefetchedMetricIDs := s.prefetchedMetricIDs
|
|
for _, metricID := range srcMetricIDs {
|
|
if prefetchedMetricIDs.Has(metricID) {
|
|
continue
|
|
}
|
|
metricIDs = append(metricIDs, metricID)
|
|
}
|
|
s.prefetchedMetricIDsLock.Unlock()
|
|
|
|
qt.Printf("%d out of %d metric names must be pre-fetched", len(metricIDs), len(srcMetricIDs))
|
|
if len(metricIDs) < 500 {
|
|
// It is cheaper to skip pre-fetching and obtain metricNames inline.
|
|
qt.Printf("skip pre-fetching metric names for low number of missing metric ids=%d", len(metricIDs))
|
|
return nil
|
|
}
|
|
atomic.AddUint64(&s.slowMetricNameLoads, uint64(len(metricIDs)))
|
|
|
|
// Pre-fetch metricIDs.
|
|
var missingMetricIDs []uint64
|
|
var metricName []byte
|
|
var err error
|
|
idb := s.idb()
|
|
is := idb.getIndexSearch(accountID, projectID, deadline)
|
|
defer idb.putIndexSearch(is)
|
|
for loops, metricID := range metricIDs {
|
|
if loops&paceLimiterSlowIterationsMask == 0 {
|
|
if err := checkSearchDeadlineAndPace(is.deadline); err != nil {
|
|
return err
|
|
}
|
|
}
|
|
var ok bool
|
|
metricName, ok = is.searchMetricNameWithCache(metricName[:0], metricID)
|
|
if !ok {
|
|
missingMetricIDs = append(missingMetricIDs, metricID)
|
|
continue
|
|
}
|
|
}
|
|
idb.doExtDB(func(extDB *indexDB) {
|
|
is := extDB.getIndexSearch(accountID, projectID, deadline)
|
|
defer extDB.putIndexSearch(is)
|
|
for loops, metricID := range missingMetricIDs {
|
|
if loops&paceLimiterSlowIterationsMask == 0 {
|
|
if err = checkSearchDeadlineAndPace(is.deadline); err != nil {
|
|
return
|
|
}
|
|
}
|
|
metricName, _ = is.searchMetricNameWithCache(metricName[:0], metricID)
|
|
}
|
|
})
|
|
if err != nil && err != io.EOF {
|
|
return err
|
|
}
|
|
qt.Printf("pre-fetch metric names for %d metric ids", len(metricIDs))
|
|
|
|
// Store the pre-fetched metricIDs, so they aren't pre-fetched next time.
|
|
s.prefetchedMetricIDsLock.Lock()
|
|
if fasttime.UnixTimestamp() > atomic.LoadUint64(&s.prefetchedMetricIDsDeadline) {
|
|
// Periodically reset the prefetchedMetricIDs in order to limit its size.
|
|
s.prefetchedMetricIDs = &uint64set.Set{}
|
|
d := timeutil.AddJitterToDuration(time.Second * 20 * 60)
|
|
metricIDsDeadline := fasttime.UnixTimestamp() + uint64(d.Seconds())
|
|
atomic.StoreUint64(&s.prefetchedMetricIDsDeadline, metricIDsDeadline)
|
|
}
|
|
s.prefetchedMetricIDs.AddMulti(metricIDs)
|
|
s.prefetchedMetricIDsLock.Unlock()
|
|
|
|
qt.Printf("cache metric ids for pre-fetched metric names")
|
|
return nil
|
|
}
|
|
|
|
// ErrDeadlineExceeded is returned when the request times out.
|
|
var ErrDeadlineExceeded = fmt.Errorf("deadline exceeded")
|
|
|
|
// DeleteSeries deletes all the series matching the given tfss.
|
|
//
|
|
// Returns the number of metrics deleted.
|
|
func (s *Storage) DeleteSeries(qt *querytracer.Tracer, tfss []*TagFilters) (int, error) {
|
|
deletedCount, err := s.idb().DeleteTSIDs(qt, tfss)
|
|
if err != nil {
|
|
return deletedCount, fmt.Errorf("cannot delete tsids: %w", err)
|
|
}
|
|
// Do not reset MetricName->TSID cache, 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
|
|
}
|
|
|
|
// SearchLabelNamesWithFiltersOnTimeRange searches for label names matching the given tfss on tr.
|
|
func (s *Storage) SearchLabelNamesWithFiltersOnTimeRange(qt *querytracer.Tracer, accountID, projectID uint32, tfss []*TagFilters, tr TimeRange,
|
|
maxLabelNames, maxMetrics int, deadline uint64,
|
|
) ([]string, error) {
|
|
return s.idb().SearchLabelNamesWithFiltersOnTimeRange(qt, accountID, projectID, tfss, tr, maxLabelNames, maxMetrics, deadline)
|
|
}
|
|
|
|
// SearchLabelValuesWithFiltersOnTimeRange searches for label values for the given labelName, filters and tr.
|
|
func (s *Storage) SearchLabelValuesWithFiltersOnTimeRange(qt *querytracer.Tracer, accountID, projectID uint32, labelName string, tfss []*TagFilters,
|
|
tr TimeRange, maxLabelValues, maxMetrics int, deadline uint64,
|
|
) ([]string, error) {
|
|
return s.idb().SearchLabelValuesWithFiltersOnTimeRange(qt, accountID, projectID, labelName, tfss, tr, maxLabelValues, maxMetrics, 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(qt *querytracer.Tracer, accountID, projectID uint32, tr TimeRange, tagKey, tagValuePrefix string,
|
|
delimiter byte, maxTagValueSuffixes int, deadline uint64,
|
|
) ([]string, error) {
|
|
return s.idb().SearchTagValueSuffixes(qt, accountID, projectID, 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(qt *querytracer.Tracer, accountID, projectID uint32, tr TimeRange, query []byte, maxPaths int, deadline uint64) ([]string, error) {
|
|
query = replaceAlternateRegexpsWithGraphiteWildcards(query)
|
|
return s.searchGraphitePaths(qt, accountID, projectID, 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(qt *querytracer.Tracer, accountID, projectID uint32, 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(qt, accountID, projectID, tr, "", bytesutil.ToUnsafeString(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(qt, accountID, projectID, tr, "", bytesutil.ToUnsafeString(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(qt, accountID, projectID, 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 metricsql.CompileRegexp(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:]
|
|
}
|
|
}
|
|
}
|
|
|
|
// GetSeriesCount returns the approximate number of unique time series for the given (accountID, projectID).
|
|
//
|
|
// It includes the deleted series too and may count the same series
|
|
// up to two times - in db and extDB.
|
|
func (s *Storage) GetSeriesCount(accountID, projectID uint32, deadline uint64) (uint64, error) {
|
|
return s.idb().GetSeriesCount(accountID, projectID, deadline)
|
|
}
|
|
|
|
// SearchTenants returns list of registered tenants on the given tr.
|
|
func (s *Storage) SearchTenants(qt *querytracer.Tracer, tr TimeRange, deadline uint64) ([]string, error) {
|
|
return s.idb().SearchTenants(qt, tr, deadline)
|
|
}
|
|
|
|
// GetTSDBStatus returns TSDB status data for /api/v1/status/tsdb
|
|
func (s *Storage) GetTSDBStatus(qt *querytracer.Tracer, accountID, projectID uint32, tfss []*TagFilters, date uint64, focusLabel string, topN, maxMetrics int, deadline uint64) (*TSDBStatus, error) {
|
|
return s.idb().GetTSDBStatus(qt, accountID, projectID, tfss, date, focusLabel, 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
|
|
}
|
|
|
|
// ResetX resets mr after UnmarshalX or after UnmarshalMetricRows
|
|
func (mr *MetricRow) ResetX() {
|
|
mr.MetricNameRaw = nil
|
|
mr.Timestamp = 0
|
|
mr.Value = 0
|
|
}
|
|
|
|
// 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 {
|
|
return MarshalMetricRow(dst, mr.MetricNameRaw, mr.Timestamp, mr.Value)
|
|
}
|
|
|
|
// MarshalMetricRow marshals MetricRow data to dst and returns the result.
|
|
func MarshalMetricRow(dst []byte, metricNameRaw []byte, timestamp int64, value float64) []byte {
|
|
dst = encoding.MarshalBytes(dst, metricNameRaw)
|
|
dst = encoding.MarshalUint64(dst, uint64(timestamp))
|
|
dst = encoding.MarshalUint64(dst, math.Float64bits(value))
|
|
return dst
|
|
}
|
|
|
|
// UnmarshalMetricRows appends unmarshaled MetricRow items from src to dst and returns the result.
|
|
//
|
|
// Up to maxRows rows are unmarshaled at once. The remaining byte slice is returned to the caller.
|
|
//
|
|
// The returned MetricRow items refer to src, so they become invalid as soon as src changes.
|
|
func UnmarshalMetricRows(dst []MetricRow, src []byte, maxRows int) ([]MetricRow, []byte, error) {
|
|
for len(src) > 0 && maxRows > 0 {
|
|
if len(dst) < cap(dst) {
|
|
dst = dst[:len(dst)+1]
|
|
} else {
|
|
dst = append(dst, MetricRow{})
|
|
}
|
|
mr := &dst[len(dst)-1]
|
|
tail, err := mr.UnmarshalX(src)
|
|
if err != nil {
|
|
return dst, tail, err
|
|
}
|
|
src = tail
|
|
maxRows--
|
|
}
|
|
return dst, src, nil
|
|
}
|
|
|
|
// 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.
|
|
//
|
|
// The caller should limit the number of concurrent AddRows calls to the number
|
|
// of available CPU cores in order to limit memory usage.
|
|
func (s *Storage) AddRows(mrs []MetricRow, precisionBits uint8) error {
|
|
if len(mrs) == 0 {
|
|
return nil
|
|
}
|
|
|
|
// 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)
|
|
|
|
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
|
|
|
|
// RegisterMetricNames registers all the metric names from mrs in the indexdb, so they can be queried later.
|
|
//
|
|
// The the MetricRow.Timestamp is used for registering the metric name at the given day according to the timestamp.
|
|
// Th MetricRow.Value field is ignored.
|
|
func (s *Storage) RegisterMetricNames(qt *querytracer.Tracer, mrs []MetricRow) {
|
|
qt = qt.NewChild("registering %d series", len(mrs))
|
|
defer qt.Done()
|
|
var metricNameBuf []byte
|
|
var genTSID generationTSID
|
|
mn := GetMetricName()
|
|
defer PutMetricName(mn)
|
|
|
|
var seriesRepopulated uint64
|
|
|
|
idb := s.idb()
|
|
generation := idb.generation
|
|
is := idb.getIndexSearch(0, 0, noDeadline)
|
|
defer idb.putIndexSearch(is)
|
|
var firstWarn error
|
|
for i := range mrs {
|
|
mr := &mrs[i]
|
|
date := uint64(mr.Timestamp) / msecPerDay
|
|
if s.getTSIDFromCache(&genTSID, mr.MetricNameRaw) {
|
|
// Fast path - mr.MetricNameRaw has been already registered in the current idb.
|
|
if !s.registerSeriesCardinality(genTSID.TSID.MetricID, mr.MetricNameRaw) {
|
|
// Skip row, since it exceeds cardinality limit
|
|
continue
|
|
}
|
|
if genTSID.generation < generation {
|
|
// The found TSID is from the previous indexdb. Create it in the current indexdb.
|
|
|
|
if err := mn.UnmarshalRaw(mr.MetricNameRaw); 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 umarshal MetricNameRaw %q: %w", mr.MetricNameRaw, err)
|
|
}
|
|
continue
|
|
}
|
|
mn.sortTags()
|
|
|
|
createAllIndexesForMetricName(is, mn, &genTSID.TSID, date)
|
|
genTSID.generation = generation
|
|
s.putSeriesToCache(mr.MetricNameRaw, &genTSID, date)
|
|
seriesRepopulated++
|
|
}
|
|
continue
|
|
}
|
|
|
|
// Slow path - search TSID for the given metricName in indexdb.
|
|
|
|
// Construct canonical metric name - it is used below.
|
|
if err := mn.UnmarshalRaw(mr.MetricNameRaw); 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 umarshal MetricNameRaw %q: %w", mr.MetricNameRaw, err)
|
|
}
|
|
continue
|
|
}
|
|
mn.sortTags()
|
|
metricNameBuf = mn.Marshal(metricNameBuf[:0])
|
|
|
|
if is.getTSIDByMetricName(&genTSID, metricNameBuf, date) {
|
|
// Slower path - the TSID has been found in indexdb.
|
|
|
|
if !s.registerSeriesCardinality(genTSID.TSID.MetricID, mr.MetricNameRaw) {
|
|
// Skip the row, since it exceeds the configured cardinality limit.
|
|
continue
|
|
}
|
|
|
|
if genTSID.generation < generation {
|
|
// The found TSID is from the previous indexdb. Create it in the current indexdb.
|
|
createAllIndexesForMetricName(is, mn, &genTSID.TSID, date)
|
|
genTSID.generation = generation
|
|
seriesRepopulated++
|
|
}
|
|
s.putSeriesToCache(mr.MetricNameRaw, &genTSID, date)
|
|
continue
|
|
}
|
|
|
|
// Slowest path - there is no TSID in indexdb for the given mr.MetricNameRaw. Create it.
|
|
generateTSID(&genTSID.TSID, mn)
|
|
|
|
if !s.registerSeriesCardinality(genTSID.TSID.MetricID, mr.MetricNameRaw) {
|
|
// Skip the row, since it exceeds the configured cardinality limit.
|
|
continue
|
|
}
|
|
|
|
// Schedule creating TSID indexes instead of creating them synchronously.
|
|
// This should keep stable the ingestion rate when new time series are ingested.
|
|
createAllIndexesForMetricName(is, mn, &genTSID.TSID, date)
|
|
genTSID.generation = generation
|
|
s.putSeriesToCache(mr.MetricNameRaw, &genTSID, date)
|
|
}
|
|
|
|
atomic.AddUint64(&s.timeseriesRepopulated, seriesRepopulated)
|
|
|
|
// There is no need in pre-filling idbNext here, since RegisterMetricNames() is rarely called.
|
|
// So it is OK to register metric names in blocking manner after indexdb rotation.
|
|
|
|
if firstWarn != nil {
|
|
logger.Warnf("cannot create some metrics: %s", firstWarn)
|
|
}
|
|
}
|
|
|
|
func (s *Storage) add(rows []rawRow, dstMrs []*MetricRow, mrs []MetricRow, precisionBits uint8) error {
|
|
idb := s.idb()
|
|
generation := idb.generation
|
|
is := idb.getIndexSearch(0, 0, noDeadline)
|
|
defer idb.putIndexSearch(is)
|
|
|
|
mn := GetMetricName()
|
|
defer PutMetricName(mn)
|
|
|
|
var (
|
|
// These vars are used for speeding up bulk imports of multiple adjacent rows for the same metricName.
|
|
prevTSID TSID
|
|
prevMetricNameRaw []byte
|
|
)
|
|
var metricNameBuf []byte
|
|
|
|
var slowInsertsCount uint64
|
|
var newSeriesCount uint64
|
|
var seriesRepopulated uint64
|
|
|
|
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
|
|
|
|
j := 0
|
|
for i := range mrs {
|
|
mr := &mrs[i]
|
|
var isStaleNan bool
|
|
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
|
|
}
|
|
isStaleNan = true
|
|
}
|
|
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
|
|
|
|
// Search for TSID for the given mr.MetricNameRaw and store it at r.TSID.
|
|
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) {
|
|
// Fast path - the TSID for the given mr.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.DeleteSeries code for details.
|
|
|
|
if !s.registerSeriesCardinality(r.TSID.MetricID, mr.MetricNameRaw) {
|
|
// Skip row, since it exceeds cardinality limit
|
|
j--
|
|
continue
|
|
}
|
|
r.TSID = genTSID.TSID
|
|
prevTSID = r.TSID
|
|
prevMetricNameRaw = mr.MetricNameRaw
|
|
|
|
if genTSID.generation < generation {
|
|
// The found TSID is from the previous indexdb. Create it in the current indexdb.
|
|
date := uint64(r.Timestamp) / msecPerDay
|
|
|
|
if err := mn.UnmarshalRaw(mr.MetricNameRaw); err != nil {
|
|
if firstWarn == nil {
|
|
firstWarn = fmt.Errorf("cannot unmarshal MetricNameRaw %q: %w", mr.MetricNameRaw, err)
|
|
}
|
|
j--
|
|
continue
|
|
}
|
|
mn.sortTags()
|
|
|
|
createAllIndexesForMetricName(is, mn, &genTSID.TSID, date)
|
|
genTSID.generation = generation
|
|
s.putSeriesToCache(mr.MetricNameRaw, &genTSID, date)
|
|
seriesRepopulated++
|
|
slowInsertsCount++
|
|
}
|
|
continue
|
|
}
|
|
|
|
// Slow path - the TSID for the given mr.MetricNameRaw is missing in the cache.
|
|
slowInsertsCount++
|
|
|
|
date := uint64(r.Timestamp) / msecPerDay
|
|
|
|
// Construct canonical metric name - it is used below.
|
|
if err := mn.UnmarshalRaw(mr.MetricNameRaw); err != nil {
|
|
if firstWarn == nil {
|
|
firstWarn = fmt.Errorf("cannot unmarshal MetricNameRaw %q: %w", mr.MetricNameRaw, err)
|
|
}
|
|
j--
|
|
continue
|
|
}
|
|
mn.sortTags()
|
|
metricNameBuf = mn.Marshal(metricNameBuf[:0])
|
|
|
|
// Search for TSID for the given mr.MetricNameRaw in the indexdb.
|
|
if is.getTSIDByMetricName(&genTSID, metricNameBuf, date) {
|
|
// Slower path - the TSID has been found in indexdb.
|
|
|
|
if !s.registerSeriesCardinality(genTSID.TSID.MetricID, mr.MetricNameRaw) {
|
|
// Skip the row, since it exceeds the configured cardinality limit.
|
|
j--
|
|
continue
|
|
}
|
|
|
|
if genTSID.generation < generation {
|
|
// The found TSID is from the previous indexdb. Create it in the current indexdb.
|
|
createAllIndexesForMetricName(is, mn, &genTSID.TSID, date)
|
|
genTSID.generation = generation
|
|
seriesRepopulated++
|
|
}
|
|
s.putSeriesToCache(mr.MetricNameRaw, &genTSID, date)
|
|
|
|
r.TSID = genTSID.TSID
|
|
prevTSID = genTSID.TSID
|
|
prevMetricNameRaw = mr.MetricNameRaw
|
|
continue
|
|
}
|
|
|
|
// If sample is stale and its TSID wasn't found in cache and in indexdb,
|
|
// then we skip it. See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/5069
|
|
if isStaleNan {
|
|
j--
|
|
continue
|
|
}
|
|
|
|
// Slowest path - the TSID for the given mr.MetricNameRaw isn't found in indexdb. Create it.
|
|
generateTSID(&genTSID.TSID, mn)
|
|
|
|
if !s.registerSeriesCardinality(genTSID.TSID.MetricID, mr.MetricNameRaw) {
|
|
// Skip the row, since it exceeds the configured cardinality limit.
|
|
j--
|
|
continue
|
|
}
|
|
|
|
createAllIndexesForMetricName(is, mn, &genTSID.TSID, date)
|
|
genTSID.generation = generation
|
|
s.putSeriesToCache(mr.MetricNameRaw, &genTSID, date)
|
|
newSeriesCount++
|
|
|
|
r.TSID = genTSID.TSID
|
|
prevTSID = r.TSID
|
|
prevMetricNameRaw = mr.MetricNameRaw
|
|
|
|
if logNewSeries {
|
|
logger.Infof("new series created: %s", mn.String())
|
|
}
|
|
}
|
|
|
|
atomic.AddUint64(&s.slowRowInserts, slowInsertsCount)
|
|
atomic.AddUint64(&s.newTimeseriesCreated, newSeriesCount)
|
|
atomic.AddUint64(&s.timeseriesRepopulated, seriesRepopulated)
|
|
|
|
dstMrs = dstMrs[:j]
|
|
rows = rows[:j]
|
|
|
|
if err := s.prefillNextIndexDB(rows, dstMrs); err != nil {
|
|
if firstWarn == nil {
|
|
firstWarn = err
|
|
}
|
|
}
|
|
if firstWarn != nil {
|
|
storageAddRowsLogger.Warnf("warn occurred during rows addition: %s", firstWarn)
|
|
}
|
|
|
|
err := s.updatePerDateData(rows, dstMrs)
|
|
if err != nil {
|
|
err = fmt.Errorf("cannot update per-date data: %w", err)
|
|
} else {
|
|
s.tb.MustAddRows(rows)
|
|
}
|
|
if err != nil {
|
|
return fmt.Errorf("error occurred during rows addition: %w", err)
|
|
}
|
|
return nil
|
|
}
|
|
|
|
var storageAddRowsLogger = logger.WithThrottler("storageAddRows", 5*time.Second)
|
|
|
|
// SetLogNewSeries updates new series logging.
|
|
//
|
|
// This function must be called before any calling any storage functions.
|
|
func SetLogNewSeries(ok bool) {
|
|
logNewSeries = ok
|
|
}
|
|
|
|
var logNewSeries = false
|
|
|
|
func createAllIndexesForMetricName(is *indexSearch, mn *MetricName, tsid *TSID, date uint64) {
|
|
is.createGlobalIndexes(tsid, mn)
|
|
is.createPerDayIndexes(date, tsid, mn)
|
|
}
|
|
|
|
func (s *Storage) putSeriesToCache(metricNameRaw []byte, genTSID *generationTSID, date uint64) {
|
|
// Store the TSID for for the current indexdb into cache,
|
|
// so future rows for that TSID are ingested via fast path.
|
|
s.putTSIDToCache(genTSID, metricNameRaw)
|
|
|
|
// Register the (generation, date, metricID) entry in the cache,
|
|
// so next time the entry is found there instead of searching for it in the indexdb.
|
|
s.dateMetricIDCache.Set(genTSID.generation, date, genTSID.TSID.MetricID)
|
|
}
|
|
|
|
func (s *Storage) registerSeriesCardinality(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 false
|
|
}
|
|
if sl := s.dailySeriesLimiter; sl != nil && !sl.Add(metricID) {
|
|
atomic.AddUint64(&s.dailySeriesLimitRowsDropped, 1)
|
|
logSkippedSeries(metricNameRaw, "-storage.maxDailySeries", sl.MaxItems())
|
|
return false
|
|
}
|
|
return true
|
|
}
|
|
|
|
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.
|
|
userReadableMetricName := getUserReadableMetricName(metricNameRaw)
|
|
logger.Warnf("skip series %s because %s=%d reached", userReadableMetricName, 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()
|
|
}
|
|
|
|
func (s *Storage) prefillNextIndexDB(rows []rawRow, mrs []*MetricRow) error {
|
|
d := s.nextRetentionSeconds()
|
|
if d >= 3600 {
|
|
// Fast path: nothing to pre-fill because it is too early.
|
|
// The pre-fill is started during the last hour before the indexdb rotation.
|
|
return nil
|
|
}
|
|
|
|
// Slower path: less than hour left for the next indexdb rotation.
|
|
// Pre-populate idbNext with the increasing probability until the rotation.
|
|
// The probability increases from 0% to 100% proportioinally to d=[3600 .. 0].
|
|
pMin := float64(d) / 3600
|
|
|
|
idbNext := s.idbNext.Load()
|
|
generation := idbNext.generation
|
|
isNext := idbNext.getIndexSearch(0, 0, noDeadline)
|
|
defer idbNext.putIndexSearch(isNext)
|
|
|
|
var firstError error
|
|
var genTSID generationTSID
|
|
mn := GetMetricName()
|
|
defer PutMetricName(mn)
|
|
|
|
timeseriesPreCreated := uint64(0)
|
|
for i := range rows {
|
|
r := &rows[i]
|
|
p := float64(uint32(fastHashUint64(r.TSID.MetricID))) / (1 << 32)
|
|
if p < pMin {
|
|
// Fast path: it is too early to pre-fill indexes for the given MetricID.
|
|
continue
|
|
}
|
|
|
|
// Check whether the given MetricID is already present in dateMetricIDCache.
|
|
date := uint64(r.Timestamp) / msecPerDay
|
|
metricID := r.TSID.MetricID
|
|
if s.dateMetricIDCache.Has(generation, date, metricID) {
|
|
// Indexes are already pre-filled.
|
|
continue
|
|
}
|
|
|
|
// Check whether the given (date, metricID) is already present in idbNext.
|
|
if isNext.hasDateMetricIDNoExtDB(date, metricID, r.TSID.AccountID, r.TSID.ProjectID) {
|
|
// Indexes are already pre-filled at idbNext.
|
|
//
|
|
// Register the (generation, date, metricID) entry in the cache,
|
|
// so next time the entry is found there instead of searching for it in the indexdb.
|
|
s.dateMetricIDCache.Set(generation, date, metricID)
|
|
continue
|
|
}
|
|
|
|
// Slow path: pre-fill indexes in idbNext.
|
|
metricNameRaw := mrs[i].MetricNameRaw
|
|
if err := mn.UnmarshalRaw(metricNameRaw); err != nil {
|
|
if firstError == nil {
|
|
firstError = fmt.Errorf("cannot unmarshal MetricNameRaw %q: %w", metricNameRaw, err)
|
|
}
|
|
continue
|
|
}
|
|
mn.sortTags()
|
|
|
|
createAllIndexesForMetricName(isNext, mn, &r.TSID, date)
|
|
genTSID.TSID = r.TSID
|
|
genTSID.generation = generation
|
|
s.putSeriesToCache(metricNameRaw, &genTSID, date)
|
|
timeseriesPreCreated++
|
|
}
|
|
atomic.AddUint64(&s.timeseriesPreCreated, timeseriesPreCreated)
|
|
|
|
return firstError
|
|
}
|
|
|
|
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
|
|
)
|
|
|
|
idb := s.idb()
|
|
generation := idb.generation
|
|
|
|
hm := s.currHourMetricIDs.Load()
|
|
hmPrev := s.prevHourMetricIDs.Load()
|
|
hmPrevDate := hmPrev.hour / 24
|
|
nextDayMetricIDs := &s.nextDayMetricIDs.Load().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
|
|
tsid *TSID
|
|
mr *MetricRow
|
|
}
|
|
var pendingDateMetricIDs []pendingDateMetricID
|
|
var pendingNextDayMetricIDs []uint64
|
|
var pendingHourEntries []pendingHourMetricIDEntry
|
|
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 row 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,
|
|
tsid: &r.TSID,
|
|
mr: mrs[i],
|
|
})
|
|
pendingNextDayMetricIDs = append(pendingNextDayMetricIDs, metricID)
|
|
}
|
|
}
|
|
continue
|
|
}
|
|
e := pendingHourMetricIDEntry{
|
|
AccountID: r.TSID.AccountID,
|
|
ProjectID: r.TSID.ProjectID,
|
|
MetricID: metricID,
|
|
}
|
|
pendingHourEntries = append(pendingHourEntries, e)
|
|
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 (generation, date, metricID) entry.
|
|
if s.dateMetricIDCache.Has(generation, date, metricID) {
|
|
continue
|
|
}
|
|
// Slow path: store the (date, metricID) entry in the indexDB.
|
|
pendingDateMetricIDs = append(pendingDateMetricIDs, pendingDateMetricID{
|
|
date: date,
|
|
tsid: &r.TSID,
|
|
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 = append(s.pendingHourEntries, pendingHourEntries...)
|
|
s.pendingHourEntriesLock.Unlock()
|
|
}
|
|
if len(pendingDateMetricIDs) == 0 {
|
|
// Fast path - there are no new (date, metricID) entries.
|
|
return nil
|
|
}
|
|
|
|
// Slow path - add new (date, metricID) entries to indexDB.
|
|
|
|
atomic.AddUint64(&s.slowPerDayIndexInserts, uint64(len(pendingDateMetricIDs)))
|
|
// Sort pendingDateMetricIDs by (accountID, projectID, 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.tsid.AccountID != b.tsid.AccountID {
|
|
return a.tsid.AccountID < b.tsid.AccountID
|
|
}
|
|
if a.tsid.ProjectID != b.tsid.ProjectID {
|
|
return a.tsid.ProjectID < b.tsid.ProjectID
|
|
}
|
|
if a.date != b.date {
|
|
return a.date < b.date
|
|
}
|
|
return a.tsid.MetricID < b.tsid.MetricID
|
|
})
|
|
|
|
is := idb.getIndexSearch(0, 0, 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.tsid.MetricID
|
|
if !is.hasDateMetricIDNoExtDB(date, metricID, dmid.tsid.AccountID, dmid.tsid.ProjectID) {
|
|
// The (date, metricID) entry is missing in the indexDB. Add it there together with per-day indexes.
|
|
// It is OK if the (date, metricID) entry is added multiple times to indexdb
|
|
// 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()
|
|
is.createPerDayIndexes(date, dmid.tsid, mn)
|
|
}
|
|
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(generation, 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.Pointer[byDateMetricIDMap]
|
|
|
|
// Contains mutable map protected by mu
|
|
byDateMutable *byDateMetricIDMap
|
|
|
|
// Contains the number of slow accesses to byDateMutable.
|
|
// Is used for deciding when to merge byDateMutable to byDate.
|
|
// Protected by mu.
|
|
slowHits int
|
|
|
|
mu sync.Mutex
|
|
}
|
|
|
|
func newDateMetricIDCache() *dateMetricIDCache {
|
|
var dmc dateMetricIDCache
|
|
dmc.resetLocked()
|
|
return &dmc
|
|
}
|
|
|
|
func (dmc *dateMetricIDCache) resetLocked() {
|
|
// Do not reset syncsCount and resetsCount
|
|
dmc.byDate.Store(newByDateMetricIDMap())
|
|
dmc.byDateMutable = newByDateMetricIDMap()
|
|
dmc.slowHits = 0
|
|
|
|
atomic.AddUint64(&dmc.resetsCount, 1)
|
|
}
|
|
|
|
func (dmc *dateMetricIDCache) EntriesCount() int {
|
|
byDate := dmc.byDate.Load()
|
|
n := 0
|
|
for _, e := range byDate.m {
|
|
n += e.v.Len()
|
|
}
|
|
return n
|
|
}
|
|
|
|
func (dmc *dateMetricIDCache) SizeBytes() uint64 {
|
|
byDate := dmc.byDate.Load()
|
|
n := uint64(0)
|
|
for _, e := range byDate.m {
|
|
n += e.v.SizeBytes()
|
|
}
|
|
return n
|
|
}
|
|
|
|
func (dmc *dateMetricIDCache) Has(generation, date, metricID uint64) bool {
|
|
byDate := dmc.byDate.Load()
|
|
v := byDate.get(generation, date)
|
|
if v.Has(metricID) {
|
|
// Fast path.
|
|
// The majority of calls must go here.
|
|
return true
|
|
}
|
|
|
|
// Slow path. Check mutable map.
|
|
dmc.mu.Lock()
|
|
vMutable := dmc.byDateMutable.get(generation, date)
|
|
ok := vMutable.Has(metricID)
|
|
if ok {
|
|
dmc.slowHits++
|
|
if dmc.slowHits > (v.Len()+vMutable.Len())/2 {
|
|
// It is cheaper to merge byDateMutable into byDate than to pay inter-cpu sync costs when accessing vMutable.
|
|
dmc.syncLocked()
|
|
dmc.slowHits = 0
|
|
}
|
|
}
|
|
dmc.mu.Unlock()
|
|
|
|
return ok
|
|
}
|
|
|
|
type dateMetricID struct {
|
|
date uint64
|
|
metricID uint64
|
|
}
|
|
|
|
func (dmc *dateMetricIDCache) Store(generation uint64, 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(generation, prevDate)
|
|
v.AddMulti(metricIDs)
|
|
}
|
|
metricIDs = append(metricIDs[:0], dmid.metricID)
|
|
prevDate = dmid.date
|
|
}
|
|
if len(metricIDs) > 0 {
|
|
v := dmc.byDateMutable.getOrCreate(generation, prevDate)
|
|
v.AddMulti(metricIDs)
|
|
}
|
|
dmc.mu.Unlock()
|
|
}
|
|
|
|
func (dmc *dateMetricIDCache) Set(generation, date, metricID uint64) {
|
|
dmc.mu.Lock()
|
|
v := dmc.byDateMutable.getOrCreate(generation, date)
|
|
v.Add(metricID)
|
|
dmc.mu.Unlock()
|
|
}
|
|
|
|
func (dmc *dateMetricIDCache) syncLocked() {
|
|
if len(dmc.byDateMutable.m) == 0 {
|
|
// Nothing to sync.
|
|
return
|
|
}
|
|
|
|
// Merge data from byDate into byDateMutable and then atomically replace byDate with the merged data.
|
|
byDate := dmc.byDate.Load()
|
|
byDateMutable := dmc.byDateMutable
|
|
byDateMutable.hotEntry.Store(&byDateMetricIDEntry{})
|
|
|
|
keepDatesMap := make(map[uint64]struct{}, len(byDateMutable.m))
|
|
for k, e := range byDateMutable.m {
|
|
keepDatesMap[k.date] = struct{}{}
|
|
v := byDate.get(k.generation, k.date)
|
|
if v == nil {
|
|
// Nothing to merge
|
|
continue
|
|
}
|
|
v = v.Clone()
|
|
v.Union(&e.v)
|
|
dme := &byDateMetricIDEntry{
|
|
k: k,
|
|
v: *v,
|
|
}
|
|
byDateMutable.m[k] = dme
|
|
}
|
|
|
|
// Copy entries from byDate, which are missing in byDateMutable
|
|
allDatesMap := make(map[uint64]struct{}, len(byDate.m))
|
|
for k, e := range byDate.m {
|
|
allDatesMap[k.date] = struct{}{}
|
|
v := byDateMutable.get(k.generation, k.date)
|
|
if v != nil {
|
|
continue
|
|
}
|
|
byDateMutable.m[k] = e
|
|
}
|
|
|
|
if len(byDateMutable.m) > 2 {
|
|
// Keep only entries for the last two dates from allDatesMap plus all the entries for byDateMutable.
|
|
dates := make([]uint64, 0, len(allDatesMap))
|
|
for date := range allDatesMap {
|
|
dates = append(dates, date)
|
|
}
|
|
sort.Slice(dates, func(i, j int) bool {
|
|
return dates[i] < dates[j]
|
|
})
|
|
if len(dates) > 2 {
|
|
dates = dates[len(dates)-2:]
|
|
}
|
|
for _, date := range dates {
|
|
keepDatesMap[date] = struct{}{}
|
|
}
|
|
for k := range byDateMutable.m {
|
|
if _, ok := keepDatesMap[k.date]; !ok {
|
|
delete(byDateMutable.m, k)
|
|
}
|
|
}
|
|
}
|
|
|
|
// Atomically replace byDate with byDateMutable
|
|
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.Pointer[byDateMetricIDEntry]
|
|
m map[generationDateKey]*byDateMetricIDEntry
|
|
}
|
|
|
|
type generationDateKey struct {
|
|
generation uint64
|
|
date uint64
|
|
}
|
|
|
|
func newByDateMetricIDMap() *byDateMetricIDMap {
|
|
dmm := &byDateMetricIDMap{
|
|
m: make(map[generationDateKey]*byDateMetricIDEntry),
|
|
}
|
|
dmm.hotEntry.Store(&byDateMetricIDEntry{})
|
|
return dmm
|
|
}
|
|
|
|
func (dmm *byDateMetricIDMap) get(generation, date uint64) *uint64set.Set {
|
|
hotEntry := dmm.hotEntry.Load()
|
|
if hotEntry.k.generation == generation && hotEntry.k.date == date {
|
|
// Fast path
|
|
return &hotEntry.v
|
|
}
|
|
// Slow path
|
|
k := generationDateKey{
|
|
generation: generation,
|
|
date: date,
|
|
}
|
|
e := dmm.m[k]
|
|
if e == nil {
|
|
return nil
|
|
}
|
|
dmm.hotEntry.Store(e)
|
|
return &e.v
|
|
}
|
|
|
|
func (dmm *byDateMetricIDMap) getOrCreate(generation, date uint64) *uint64set.Set {
|
|
v := dmm.get(generation, date)
|
|
if v != nil {
|
|
return v
|
|
}
|
|
k := generationDateKey{
|
|
generation: generation,
|
|
date: date,
|
|
}
|
|
e := &byDateMetricIDEntry{
|
|
k: k,
|
|
}
|
|
dmm.m[k] = e
|
|
return &e.v
|
|
}
|
|
|
|
type byDateMetricIDEntry struct {
|
|
k generationDateKey
|
|
v uint64set.Set
|
|
}
|
|
|
|
func (s *Storage) updateNextDayMetricIDs(date uint64) {
|
|
generation := s.idb().generation
|
|
e := s.nextDayMetricIDs.Load()
|
|
s.pendingNextDayMetricIDsLock.Lock()
|
|
pendingMetricIDs := s.pendingNextDayMetricIDs
|
|
s.pendingNextDayMetricIDs = &uint64set.Set{}
|
|
s.pendingNextDayMetricIDsLock.Unlock()
|
|
if pendingMetricIDs.Len() == 0 && e.k.generation == generation && e.k.date == date {
|
|
// Fast path: nothing to update.
|
|
return
|
|
}
|
|
|
|
// Slow path: union pendingMetricIDs with e.v
|
|
if e.k.generation == generation && e.k.date == date {
|
|
pendingMetricIDs.Union(&e.v)
|
|
} else {
|
|
// Do not add pendingMetricIDs from the previous day to the current day,
|
|
// since this may result in missing registration of the metricIDs in the per-day inverted index.
|
|
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3309
|
|
pendingMetricIDs = &uint64set.Set{}
|
|
}
|
|
k := generationDateKey{
|
|
generation: generation,
|
|
date: date,
|
|
}
|
|
eNew := &byDateMetricIDEntry{
|
|
k: k,
|
|
v: *pendingMetricIDs,
|
|
}
|
|
s.nextDayMetricIDs.Store(eNew)
|
|
}
|
|
|
|
func (s *Storage) updateCurrHourMetricIDs(hour uint64) {
|
|
hm := s.currHourMetricIDs.Load()
|
|
var newEntries []pendingHourMetricIDEntry
|
|
s.pendingHourEntriesLock.Lock()
|
|
if len(s.pendingHourEntries) < cap(s.pendingHourEntries)/2 {
|
|
// Free up memory occupied by s.pendingHourEntries,
|
|
// since it looks like now it needs much lower amounts of memory.
|
|
newEntries = s.pendingHourEntries
|
|
s.pendingHourEntries = nil
|
|
} else {
|
|
// Copy s.pendingHourEntries to newEntries and re-use s.pendingHourEntries capacity,
|
|
// since its memory usage is at stable state.
|
|
// This should reduce the number of additional memory re-allocations
|
|
// when adding new items to s.pendingHourEntries.
|
|
newEntries = append([]pendingHourMetricIDEntry{}, s.pendingHourEntries...)
|
|
s.pendingHourEntries = s.pendingHourEntries[:0]
|
|
}
|
|
s.pendingHourEntriesLock.Unlock()
|
|
|
|
if len(newEntries) == 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
|
|
var byTenant map[accountProjectKey]*uint64set.Set
|
|
if hm.hour == hour {
|
|
m = hm.m.Clone()
|
|
byTenant = make(map[accountProjectKey]*uint64set.Set, len(hm.byTenant))
|
|
for k, e := range hm.byTenant {
|
|
byTenant[k] = e.Clone()
|
|
}
|
|
} else {
|
|
m = &uint64set.Set{}
|
|
byTenant = make(map[accountProjectKey]*uint64set.Set)
|
|
}
|
|
if hm.hour == hour || hour%24 != 0 {
|
|
// Do not add pending metricIDs from the previous hour on the previous day to the current hour,
|
|
// since this may result in missing registration of the metricIDs in the per-day inverted index.
|
|
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3309
|
|
for _, x := range newEntries {
|
|
m.Add(x.MetricID)
|
|
k := accountProjectKey{
|
|
AccountID: x.AccountID,
|
|
ProjectID: x.ProjectID,
|
|
}
|
|
e := byTenant[k]
|
|
if e == nil {
|
|
e = &uint64set.Set{}
|
|
byTenant[k] = e
|
|
}
|
|
e.Add(x.MetricID)
|
|
}
|
|
}
|
|
|
|
hmNew := &hourMetricIDs{
|
|
m: m,
|
|
byTenant: byTenant,
|
|
hour: hour,
|
|
}
|
|
s.currHourMetricIDs.Store(hmNew)
|
|
if hm.hour != hour {
|
|
s.prevHourMetricIDs.Store(hm)
|
|
}
|
|
}
|
|
|
|
type hourMetricIDs struct {
|
|
m *uint64set.Set
|
|
byTenant map[accountProjectKey]*uint64set.Set
|
|
hour uint64
|
|
}
|
|
|
|
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) mustOpenIndexDBTables(path string) (next, curr, prev *indexDB) {
|
|
fs.MustMkdirIfNotExist(path)
|
|
fs.MustRemoveTemporaryDirs(path)
|
|
|
|
// Search for the three most recent tables - the prev, curr and next.
|
|
des := fs.MustReadDir(path)
|
|
var tableNames []string
|
|
for _, de := range des {
|
|
if !fs.IsDirOrSymlink(de) {
|
|
// Skip non-directories.
|
|
continue
|
|
}
|
|
tableName := de.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]
|
|
})
|
|
switch len(tableNames) {
|
|
case 0:
|
|
prevName := nextIndexDBTableName()
|
|
currName := nextIndexDBTableName()
|
|
nextName := nextIndexDBTableName()
|
|
tableNames = append(tableNames, prevName, currName, nextName)
|
|
case 1:
|
|
currName := nextIndexDBTableName()
|
|
nextName := nextIndexDBTableName()
|
|
tableNames = append(tableNames, currName, nextName)
|
|
case 2:
|
|
nextName := nextIndexDBTableName()
|
|
tableNames = append(tableNames, nextName)
|
|
default:
|
|
// Remove all the tables except the last three tables.
|
|
for _, tn := range tableNames[:len(tableNames)-3] {
|
|
pathToRemove := filepath.Join(path, tn)
|
|
logger.Infof("removing obsolete indexdb dir %q...", pathToRemove)
|
|
fs.MustRemoveAll(pathToRemove)
|
|
logger.Infof("removed obsolete indexdb dir %q", pathToRemove)
|
|
}
|
|
fs.MustSyncPath(path)
|
|
|
|
tableNames = tableNames[len(tableNames)-3:]
|
|
}
|
|
|
|
// Open tables
|
|
nextPath := filepath.Join(path, tableNames[2])
|
|
currPath := filepath.Join(path, tableNames[1])
|
|
prevPath := filepath.Join(path, tableNames[0])
|
|
|
|
next = mustOpenIndexDB(nextPath, s, &s.isReadOnly)
|
|
curr = mustOpenIndexDB(currPath, s, &s.isReadOnly)
|
|
prev = mustOpenIndexDB(prevPath, s, &s.isReadOnly)
|
|
|
|
return next, curr, prev
|
|
}
|
|
|
|
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())
|