VictoriaMetrics/lib/storage/storage.go

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package storage
import (
"fmt"
"io"
"io/ioutil"
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"math"
"os"
"path/filepath"
"regexp"
"runtime"
"sort"
"sync"
"sync/atomic"
"time"
"unsafe"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/encoding"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/fs"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/memory"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/timerpool"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/uint64set"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/workingsetcache"
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"github.com/VictoriaMetrics/fastcache"
)
const maxRetentionMonths = 12 * 100
// Storage represents TSDB storage.
type Storage struct {
// Atomic counters must go at the top of the structure in order to properly align by 8 bytes on 32-bit archs.
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/212 .
tooSmallTimestampRows uint64
tooBigTimestampRows uint64
addRowsConcurrencyLimitReached uint64
addRowsConcurrencyLimitTimeout uint64
addRowsConcurrencyDroppedRows uint64
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path string
cachePath string
retentionMonths int
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// lock file for exclusive access to the storage on the given path.
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flockF *os.File
idbCurr atomic.Value
tb *table
// tsidCache is MetricName -> TSID cache.
tsidCache *workingsetcache.Cache
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// metricIDCache is MetricID -> TSID cache.
metricIDCache *workingsetcache.Cache
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// metricNameCache is MetricID -> MetricName cache.
metricNameCache *workingsetcache.Cache
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// dateMetricIDCache is (Date, MetricID) cache.
dateMetricIDCache *dateMetricIDCache
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// Fast cache for MetricID values occurred during the current hour.
currHourMetricIDs atomic.Value
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// Fast cache for MetricID values occurred during the previous hour.
prevHourMetricIDs atomic.Value
// Fast cache for pre-populating per-day inverted index for the next day.
// This is needed in order to remove CPU usage spikes at 00:00 UTC
// due to creation of per-day inverted index for active time series.
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/430 for details.
nextDayMetricIDs atomic.Value
// Pending MetricID values to be added to currHourMetricIDs.
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pendingHourEntriesLock sync.Mutex
pendingHourEntries *uint64set.Set
// Pending MetricIDs to be added to nextDayMetricIDs.
pendingNextDayMetricIDsLock sync.Mutex
pendingNextDayMetricIDs *uint64set.Set
// metricIDs for pre-fetched metricNames in the prefetchMetricNames function.
prefetchedMetricIDs atomic.Value
stop chan struct{}
currHourMetricIDsUpdaterWG sync.WaitGroup
nextDayMetricIDsUpdaterWG sync.WaitGroup
retentionWatcherWG sync.WaitGroup
prefetchedMetricIDsCleanerWG sync.WaitGroup
// The snapshotLock prevents from concurrent creation of snapshots,
// since this may result in snapshots without recently added data,
// which may be in the process of flushing to disk by concurrently running
// snapshot process.
snapshotLock sync.Mutex
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}
// OpenStorage opens storage on the given path with the given number of retention months.
func OpenStorage(path string, retentionMonths int) (*Storage, error) {
if retentionMonths > maxRetentionMonths {
return nil, fmt.Errorf("too big retentionMonths=%d; cannot exceed %d", retentionMonths, maxRetentionMonths)
}
if retentionMonths <= 0 {
retentionMonths = maxRetentionMonths
}
path, err := filepath.Abs(path)
if err != nil {
return nil, fmt.Errorf("cannot determine absolute path for %q: %s", path, err)
}
s := &Storage{
path: path,
cachePath: path + "/cache",
retentionMonths: retentionMonths,
stop: make(chan struct{}),
}
if err := fs.MkdirAllIfNotExist(path); err != nil {
return nil, fmt.Errorf("cannot create a directory for the storage at %q: %s", path, err)
}
snapshotsPath := path + "/snapshots"
if err := fs.MkdirAllIfNotExist(snapshotsPath); err != nil {
return nil, fmt.Errorf("cannot create %q: %s", snapshotsPath, err)
}
// Protect from concurrent opens.
flockF, err := fs.CreateFlockFile(path)
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if err != nil {
return nil, err
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}
s.flockF = flockF
// Load caches.
mem := memory.Allowed()
s.tsidCache = s.mustLoadCache("MetricName->TSID", "metricName_tsid", mem/3)
s.metricIDCache = s.mustLoadCache("MetricID->TSID", "metricID_tsid", mem/16)
s.metricNameCache = s.mustLoadCache("MetricID->MetricName", "metricID_metricName", mem/8)
s.dateMetricIDCache = newDateMetricIDCache()
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hour := uint64(timestampFromTime(time.Now())) / msecPerHour
hmCurr := s.mustLoadHourMetricIDs(hour, "curr_hour_metric_ids")
hmPrev := s.mustLoadHourMetricIDs(hour-1, "prev_hour_metric_ids")
s.currHourMetricIDs.Store(hmCurr)
s.prevHourMetricIDs.Store(hmPrev)
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s.pendingHourEntries = &uint64set.Set{}
date := uint64(timestampFromTime(time.Now())) / msecPerDay
nextDayMetricIDs := s.mustLoadNextDayMetricIDs(date)
s.nextDayMetricIDs.Store(nextDayMetricIDs)
s.pendingNextDayMetricIDs = &uint64set.Set{}
s.prefetchedMetricIDs.Store(&uint64set.Set{})
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// Load indexdb
idbPath := path + "/indexdb"
idbSnapshotsPath := idbPath + "/snapshots"
if err := fs.MkdirAllIfNotExist(idbSnapshotsPath); err != nil {
return nil, fmt.Errorf("cannot create %q: %s", idbSnapshotsPath, err)
}
idbCurr, idbPrev, err := openIndexDBTables(idbPath, s.metricIDCache, s.metricNameCache, &s.currHourMetricIDs, &s.prevHourMetricIDs)
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if err != nil {
return nil, fmt.Errorf("cannot open indexdb tables at %q: %s", idbPath, err)
}
idbCurr.SetExtDB(idbPrev)
s.idbCurr.Store(idbCurr)
// Load data
tablePath := path + "/data"
tb, err := openTable(tablePath, retentionMonths, s.getDeletedMetricIDs)
if err != nil {
s.idb().MustClose()
return nil, fmt.Errorf("cannot open table at %q: %s", tablePath, err)
}
s.tb = tb
s.startCurrHourMetricIDsUpdater()
s.startNextDayMetricIDsUpdater()
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s.startRetentionWatcher()
s.startPrefetchedMetricIDsCleaner()
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return s, nil
}
// debugFlush flushes recently added storage data, so it becomes visible to search.
func (s *Storage) debugFlush() {
s.tb.flushRawRows()
s.idb().tb.DebugFlush()
}
func (s *Storage) getDeletedMetricIDs() *uint64set.Set {
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return s.idb().getDeletedMetricIDs()
}
// CreateSnapshot creates snapshot for s and returns the snapshot name.
func (s *Storage) CreateSnapshot() (string, error) {
logger.Infof("creating Storage snapshot for %q...", s.path)
startTime := time.Now()
s.snapshotLock.Lock()
defer s.snapshotLock.Unlock()
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snapshotName := fmt.Sprintf("%s-%08X", time.Now().UTC().Format("20060102150405"), nextSnapshotIdx())
srcDir := s.path
dstDir := fmt.Sprintf("%s/snapshots/%s", srcDir, snapshotName)
if err := fs.MkdirAllFailIfExist(dstDir); err != nil {
return "", fmt.Errorf("cannot create dir %q: %s", dstDir, err)
}
dstDataDir := dstDir + "/data"
if err := fs.MkdirAllFailIfExist(dstDataDir); err != nil {
return "", fmt.Errorf("cannot create dir %q: %s", dstDataDir, err)
}
smallDir, bigDir, err := s.tb.CreateSnapshot(snapshotName)
if err != nil {
return "", fmt.Errorf("cannot create table snapshot: %s", err)
}
dstSmallDir := dstDataDir + "/small"
if err := fs.SymlinkRelative(smallDir, dstSmallDir); err != nil {
return "", fmt.Errorf("cannot create symlink from %q to %q: %s", smallDir, dstSmallDir, err)
}
dstBigDir := dstDataDir + "/big"
if err := fs.SymlinkRelative(bigDir, dstBigDir); err != nil {
return "", fmt.Errorf("cannot create symlink from %q to %q: %s", bigDir, dstBigDir, err)
}
fs.MustSyncPath(dstDataDir)
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idbSnapshot := fmt.Sprintf("%s/indexdb/snapshots/%s", s.path, snapshotName)
idb := s.idb()
currSnapshot := idbSnapshot + "/" + idb.name
if err := idb.tb.CreateSnapshotAt(currSnapshot); err != nil {
return "", fmt.Errorf("cannot create curr indexDB snapshot: %s", err)
}
ok := idb.doExtDB(func(extDB *indexDB) {
prevSnapshot := idbSnapshot + "/" + extDB.name
err = extDB.tb.CreateSnapshotAt(prevSnapshot)
})
if ok && err != nil {
return "", fmt.Errorf("cannot create prev indexDB snapshot: %s", err)
}
dstIdbDir := dstDir + "/indexdb"
if err := fs.SymlinkRelative(idbSnapshot, dstIdbDir); err != nil {
return "", fmt.Errorf("cannot create symlink from %q to %q: %s", idbSnapshot, dstIdbDir, err)
}
fs.MustSyncPath(dstDir)
fs.MustSyncPath(srcDir + "/snapshots")
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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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return snapshotName, nil
}
var snapshotNameRegexp = regexp.MustCompile("^[0-9]{14}-[0-9A-Fa-f]+$")
// ListSnapshots returns sorted list of existing snapshots for s.
func (s *Storage) ListSnapshots() ([]string, error) {
snapshotsPath := s.path + "/snapshots"
d, err := os.Open(snapshotsPath)
if err != nil {
return nil, fmt.Errorf("cannot open %q: %s", snapshotsPath, err)
}
defer fs.MustClose(d)
fnames, err := d.Readdirnames(-1)
if err != nil {
return nil, fmt.Errorf("cannot read contents of %q: %s", snapshotsPath, err)
}
snapshotNames := make([]string, 0, len(fnames))
for _, fname := range fnames {
if !snapshotNameRegexp.MatchString(fname) {
continue
}
snapshotNames = append(snapshotNames, fname)
}
sort.Strings(snapshotNames)
return snapshotNames, nil
}
// DeleteSnapshot deletes the given snapshot.
func (s *Storage) DeleteSnapshot(snapshotName string) error {
if !snapshotNameRegexp.MatchString(snapshotName) {
return fmt.Errorf("invalid snapshotName %q", snapshotName)
}
snapshotPath := s.path + "/snapshots/" + snapshotName
logger.Infof("deleting snapshot %q...", snapshotPath)
startTime := time.Now()
s.tb.MustDeleteSnapshot(snapshotName)
idbPath := fmt.Sprintf("%s/indexdb/snapshots/%s", s.path, snapshotName)
fs.MustRemoveAll(idbPath)
fs.MustRemoveAll(snapshotPath)
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logger.Infof("deleted snapshot %q in %.3f seconds", snapshotPath, time.Since(startTime).Seconds())
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return nil
}
var snapshotIdx = uint64(time.Now().UnixNano())
func nextSnapshotIdx() uint64 {
return atomic.AddUint64(&snapshotIdx, 1)
}
func (s *Storage) idb() *indexDB {
return s.idbCurr.Load().(*indexDB)
}
// Metrics contains essential metrics for the Storage.
type Metrics struct {
DedupsDuringMerge uint64
TooSmallTimestampRows uint64
TooBigTimestampRows uint64
AddRowsConcurrencyLimitReached uint64
AddRowsConcurrencyLimitTimeout uint64
AddRowsConcurrencyDroppedRows uint64
AddRowsConcurrencyCapacity uint64
AddRowsConcurrencyCurrent uint64
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TSIDCacheSize uint64
TSIDCacheSizeBytes uint64
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TSIDCacheRequests uint64
TSIDCacheMisses uint64
TSIDCacheCollisions uint64
MetricIDCacheSize uint64
MetricIDCacheSizeBytes uint64
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MetricIDCacheRequests uint64
MetricIDCacheMisses uint64
MetricIDCacheCollisions uint64
MetricNameCacheSize uint64
MetricNameCacheSizeBytes uint64
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MetricNameCacheRequests uint64
MetricNameCacheMisses uint64
MetricNameCacheCollisions uint64
DateMetricIDCacheSize uint64
DateMetricIDCacheSizeBytes uint64
DateMetricIDCacheSyncsCount uint64
DateMetricIDCacheResetsCount uint64
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HourMetricIDCacheSize uint64
HourMetricIDCacheSizeBytes uint64
NextDayMetricIDCacheSize uint64
NextDayMetricIDCacheSizeBytes uint64
PrefetchedMetricIDsSize uint64
PrefetchedMetricIDsSizeBytes uint64
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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.DedupsDuringMerge = atomic.LoadUint64(&dedupsDuringMerge)
m.TooSmallTimestampRows += atomic.LoadUint64(&s.tooSmallTimestampRows)
m.TooBigTimestampRows += atomic.LoadUint64(&s.tooBigTimestampRows)
m.AddRowsConcurrencyLimitReached += atomic.LoadUint64(&s.addRowsConcurrencyLimitReached)
m.AddRowsConcurrencyLimitTimeout += atomic.LoadUint64(&s.addRowsConcurrencyLimitTimeout)
m.AddRowsConcurrencyDroppedRows += atomic.LoadUint64(&s.addRowsConcurrencyDroppedRows)
m.AddRowsConcurrencyCapacity = uint64(cap(addRowsConcurrencyCh))
m.AddRowsConcurrencyCurrent = uint64(len(addRowsConcurrencyCh))
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var cs fastcache.Stats
s.tsidCache.UpdateStats(&cs)
m.TSIDCacheSize += cs.EntriesCount
m.TSIDCacheSizeBytes += cs.BytesSize
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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
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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
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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)
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hmCurr := s.currHourMetricIDs.Load().(*hourMetricIDs)
hmPrev := s.prevHourMetricIDs.Load().(*hourMetricIDs)
hourMetricIDsLen := hmPrev.m.Len()
if hmCurr.m.Len() > hourMetricIDsLen {
hourMetricIDsLen = hmCurr.m.Len()
}
m.HourMetricIDCacheSize += uint64(hourMetricIDsLen)
m.HourMetricIDCacheSizeBytes += hmCurr.m.SizeBytes()
m.HourMetricIDCacheSizeBytes += hmPrev.m.SizeBytes()
nextDayMetricIDs := &s.nextDayMetricIDs.Load().(*byDateMetricIDEntry).v
m.NextDayMetricIDCacheSize += uint64(nextDayMetricIDs.Len())
m.NextDayMetricIDCacheSizeBytes += nextDayMetricIDs.SizeBytes()
prefetchedMetricIDs := s.prefetchedMetricIDs.Load().(*uint64set.Set)
m.PrefetchedMetricIDsSize += uint64(prefetchedMetricIDs.Len())
m.PrefetchedMetricIDsSizeBytes += uint64(prefetchedMetricIDs.SizeBytes())
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s.idb().UpdateMetrics(&m.IndexDBMetrics)
s.tb.UpdateMetrics(&m.TableMetrics)
}
func (s *Storage) startPrefetchedMetricIDsCleaner() {
s.prefetchedMetricIDsCleanerWG.Add(1)
go func() {
s.prefetchedMetricIDsCleaner()
s.prefetchedMetricIDsCleanerWG.Done()
}()
}
func (s *Storage) prefetchedMetricIDsCleaner() {
t := time.NewTicker(7 * time.Minute)
for {
select {
case <-s.stop:
t.Stop()
return
case <-t.C:
s.prefetchedMetricIDs.Store(&uint64set.Set{})
}
}
}
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func (s *Storage) startRetentionWatcher() {
s.retentionWatcherWG.Add(1)
go func() {
s.retentionWatcher()
s.retentionWatcherWG.Done()
}()
}
func (s *Storage) retentionWatcher() {
for {
d := nextRetentionDuration(s.retentionMonths)
select {
case <-s.stop:
return
case <-time.After(d):
s.mustRotateIndexDB()
}
}
}
func (s *Storage) startCurrHourMetricIDsUpdater() {
s.currHourMetricIDsUpdaterWG.Add(1)
go func() {
s.currHourMetricIDsUpdater()
s.currHourMetricIDsUpdaterWG.Done()
}()
}
func (s *Storage) startNextDayMetricIDsUpdater() {
s.nextDayMetricIDsUpdaterWG.Add(1)
go func() {
s.nextDayMetricIDsUpdater()
s.nextDayMetricIDsUpdaterWG.Done()
}()
}
var currHourMetricIDsUpdateInterval = time.Second * 10
func (s *Storage) currHourMetricIDsUpdater() {
ticker := time.NewTicker(currHourMetricIDsUpdateInterval)
defer ticker.Stop()
for {
select {
case <-s.stop:
s.updateCurrHourMetricIDs()
return
case <-ticker.C:
s.updateCurrHourMetricIDs()
}
}
}
var nextDayMetricIDsUpdateInterval = time.Second * 11
func (s *Storage) nextDayMetricIDsUpdater() {
ticker := time.NewTicker(nextDayMetricIDsUpdateInterval)
defer ticker.Stop()
for {
select {
case <-s.stop:
s.updateNextDayMetricIDs()
return
case <-ticker.C:
s.updateNextDayMetricIDs()
}
}
}
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func (s *Storage) mustRotateIndexDB() {
// Create new indexdb table.
newTableName := nextIndexDBTableName()
idbNewPath := s.path + "/indexdb/" + newTableName
idbNew, err := openIndexDB(idbNewPath, s.metricIDCache, s.metricNameCache, &s.currHourMetricIDs, &s.prevHourMetricIDs)
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if err != nil {
logger.Panicf("FATAL: cannot create new indexDB at %q: %s", idbNewPath, err)
}
// Drop extDB
idbCurr := s.idb()
idbCurr.doExtDB(func(extDB *indexDB) {
extDB.scheduleToDrop()
})
idbCurr.SetExtDB(nil)
// Start using idbNew
idbNew.SetExtDB(idbCurr)
s.idbCurr.Store(idbNew)
// Persist changes on the file system.
fs.MustSyncPath(s.path)
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// Flush tsidCache, so idbNew can be populated with fresh data.
s.tsidCache.Reset()
// Flush dateMetricIDCache, so idbNew can be populated with fresh data.
s.dateMetricIDCache.Reset()
// Do not flush metricIDCache and metricNameCache, since all the metricIDs
// from prev idb remain valid after the rotation.
}
// MustClose closes the storage.
func (s *Storage) MustClose() {
close(s.stop)
s.retentionWatcherWG.Wait()
s.currHourMetricIDsUpdaterWG.Wait()
s.nextDayMetricIDsUpdaterWG.Wait()
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s.tb.MustClose()
s.idb().MustClose()
// Save caches.
s.mustSaveAndStopCache(s.tsidCache, "MetricName->TSID", "metricName_tsid")
s.mustSaveAndStopCache(s.metricIDCache, "MetricID->TSID", "metricID_tsid")
s.mustSaveAndStopCache(s.metricNameCache, "MetricID->MetricName", "metricID_metricName")
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hmCurr := s.currHourMetricIDs.Load().(*hourMetricIDs)
s.mustSaveHourMetricIDs(hmCurr, "curr_hour_metric_ids")
hmPrev := s.prevHourMetricIDs.Load().(*hourMetricIDs)
s.mustSaveHourMetricIDs(hmPrev, "prev_hour_metric_ids")
nextDayMetricIDs := s.nextDayMetricIDs.Load().(*byDateMetricIDEntry)
s.mustSaveNextDayMetricIDs(nextDayMetricIDs)
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// Release lock file.
if err := s.flockF.Close(); err != nil {
logger.Panicf("FATAL: cannot close lock file %q: %s", s.flockF.Name(), err)
}
}
func (s *Storage) mustLoadNextDayMetricIDs(date uint64) *byDateMetricIDEntry {
e := &byDateMetricIDEntry{
date: date,
}
name := "next_day_metric_ids"
path := s.cachePath + "/" + name
logger.Infof("loading %s from %q...", name, path)
startTime := time.Now()
if !fs.IsPathExist(path) {
logger.Infof("nothing to load from %q", path)
return e
}
src, err := ioutil.ReadFile(path)
if err != nil {
logger.Panicf("FATAL: cannot read %s: %s", path, err)
}
srcOrigLen := len(src)
if len(src) < 16 {
logger.Errorf("discarding %s, since it has broken header; got %d bytes; want %d bytes", path, len(src), 16)
return e
}
// Unmarshal header
dateLoaded := encoding.UnmarshalUint64(src)
src = src[8:]
if dateLoaded != date {
logger.Infof("discarding %s, since it contains data for stale date; got %d; want %d", path, dateLoaded, date)
return e
}
// Unmarshal uint64set
m, tail, err := unmarshalUint64Set(src)
if err != nil {
logger.Infof("discarding %s because cannot load uint64set: %s", path, err)
return e
}
if len(tail) > 0 {
logger.Infof("discarding %s because non-empty tail left; len(tail)=%d", path, len(tail))
return e
}
e.v = *m
logger.Infof("loaded %s from %q in %.3f seconds; entriesCount: %d; sizeBytes: %d", name, path, time.Since(startTime).Seconds(), m.Len(), srcOrigLen)
return e
}
func (s *Storage) mustLoadHourMetricIDs(hour uint64, name string) *hourMetricIDs {
hm := &hourMetricIDs{
hour: hour,
}
path := s.cachePath + "/" + name
logger.Infof("loading %s from %q...", name, path)
startTime := time.Now()
if !fs.IsPathExist(path) {
logger.Infof("nothing to load from %q", path)
return hm
}
src, err := ioutil.ReadFile(path)
if err != nil {
logger.Panicf("FATAL: cannot read %s: %s", path, err)
}
srcOrigLen := len(src)
if len(src) < 24 {
logger.Errorf("discarding %s, since it has broken header; got %d bytes; want %d bytes", path, len(src), 24)
return hm
}
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// Unmarshal header
isFull := encoding.UnmarshalUint64(src)
src = src[8:]
hourLoaded := encoding.UnmarshalUint64(src)
src = src[8:]
if hourLoaded != hour {
logger.Infof("discarding %s, since it contains outdated hour; got %d; want %d", path, hourLoaded, hour)
return hm
}
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// Unmarshal uint64set
m, tail, err := unmarshalUint64Set(src)
if err != nil {
logger.Infof("discarding %s because cannot load uint64set: %s", path, err)
return hm
}
if len(tail) > 0 {
logger.Infof("discarding %s because non-empty tail left; len(tail)=%d", path, len(tail))
return hm
}
hm.m = m
hm.isFull = isFull != 0
logger.Infof("loaded %s from %q in %.3f seconds; entriesCount: %d; sizeBytes: %d", name, path, time.Since(startTime).Seconds(), m.Len(), srcOrigLen)
return hm
}
func (s *Storage) mustSaveNextDayMetricIDs(e *byDateMetricIDEntry) {
name := "next_day_metric_ids"
path := s.cachePath + "/" + name
logger.Infof("saving %s to %q...", name, path)
startTime := time.Now()
dst := make([]byte, 0, e.v.Len()*8+16)
// Marshal header
dst = encoding.MarshalUint64(dst, e.date)
// Marshal e.v
dst = marshalUint64Set(dst, &e.v)
if err := ioutil.WriteFile(path, dst, 0644); err != nil {
logger.Panicf("FATAL: cannot write %d bytes to %q: %s", len(dst), path, err)
}
logger.Infof("saved %s to %q in %.3f seconds; entriesCount: %d; sizeBytes: %d", name, path, time.Since(startTime).Seconds(), e.v.Len(), len(dst))
}
func (s *Storage) mustSaveHourMetricIDs(hm *hourMetricIDs, name string) {
path := s.cachePath + "/" + name
logger.Infof("saving %s to %q...", name, path)
startTime := time.Now()
dst := make([]byte, 0, hm.m.Len()*8+24)
isFull := uint64(0)
if hm.isFull {
isFull = 1
}
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// Marshal header
dst = encoding.MarshalUint64(dst, isFull)
dst = encoding.MarshalUint64(dst, hm.hour)
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// Marshal hm.m
dst = marshalUint64Set(dst, hm.m)
if err := ioutil.WriteFile(path, dst, 0644); err != nil {
logger.Panicf("FATAL: cannot write %d bytes to %q: %s", len(dst), path, err)
}
logger.Infof("saved %s to %q in %.3f seconds; entriesCount: %d; sizeBytes: %d", name, path, time.Since(startTime).Seconds(), hm.m.Len(), len(dst))
}
func unmarshalUint64Set(src []byte) (*uint64set.Set, []byte, error) {
mLen := encoding.UnmarshalUint64(src)
src = src[8:]
if uint64(len(src)) < 8*mLen {
return nil, nil, fmt.Errorf("cannot unmarshal uint64set; got %d bytes; want at least %d bytes", len(src), 8*mLen)
}
m := &uint64set.Set{}
for i := uint64(0); i < mLen; i++ {
metricID := encoding.UnmarshalUint64(src)
src = src[8:]
m.Add(metricID)
}
return m, src, nil
}
func marshalUint64Set(dst []byte, m *uint64set.Set) []byte {
dst = encoding.MarshalUint64(dst, uint64(m.Len()))
m.ForEach(func(part []uint64) bool {
for _, metricID := range part {
dst = encoding.MarshalUint64(dst, metricID)
}
return true
})
return dst
}
func (s *Storage) mustLoadCache(info, name string, sizeBytes int) *workingsetcache.Cache {
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path := s.cachePath + "/" + name
logger.Infof("loading %s cache from %q...", info, path)
startTime := time.Now()
c := workingsetcache.Load(path, sizeBytes, time.Hour)
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var cs fastcache.Stats
c.UpdateStats(&cs)
logger.Infof("loaded %s cache from %q in %.3f seconds; entriesCount: %d; sizeBytes: %d",
info, path, time.Since(startTime).Seconds(), cs.EntriesCount, cs.BytesSize)
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return c
}
func (s *Storage) mustSaveAndStopCache(c *workingsetcache.Cache, info, name string) {
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path := s.cachePath + "/" + name
logger.Infof("saving %s cache to %q...", info, path)
startTime := time.Now()
if err := c.Save(path); err != nil {
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logger.Panicf("FATAL: cannot save %s cache to %q: %s", info, path, err)
}
var cs fastcache.Stats
c.UpdateStats(&cs)
c.Stop()
logger.Infof("saved %s cache to %q in %.3f seconds; entriesCount: %d; sizeBytes: %d",
info, path, time.Since(startTime).Seconds(), cs.EntriesCount, cs.BytesSize)
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}
func nextRetentionDuration(retentionMonths int) time.Duration {
t := time.Now().UTC()
n := t.Year()*12 + int(t.Month()) - 1 + retentionMonths
n -= n % retentionMonths
y := n / 12
m := time.Month((n % 12) + 1)
// Schedule the deadline to +4 hours from the next retention period start.
// This should prevent from possible double deletion of indexdb
// due to time drift - see https://github.com/VictoriaMetrics/VictoriaMetrics/issues/248 .
deadline := time.Date(y, m, 1, 4, 0, 0, 0, time.UTC)
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return deadline.Sub(t)
}
// searchTSIDs returns sorted TSIDs for the given tfss and the given tr.
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func (s *Storage) searchTSIDs(tfss []*TagFilters, tr TimeRange, maxMetrics int) ([]TSID, error) {
// Do not cache tfss -> tsids here, since the caching is performed
// on idb level.
tsids, err := s.idb().searchTSIDs(tfss, tr, maxMetrics)
if err != nil {
return nil, fmt.Errorf("error when searching tsids for tfss %q: %s", tfss, err)
}
return tsids, nil
}
// prefetchMetricNames pre-fetches metric names for the given tsids into metricID->metricName cache.
//
// This should speed-up further searchMetricName calls for metricIDs from tsids.
func (s *Storage) prefetchMetricNames(tsids []TSID) error {
var metricIDs uint64Sorter
prefetchedMetricIDs := s.prefetchedMetricIDs.Load().(*uint64set.Set)
for i := range tsids {
metricID := tsids[i].MetricID
if prefetchedMetricIDs.Has(metricID) {
continue
}
metricIDs = append(metricIDs, metricID)
}
if len(metricIDs) < 500 {
// It is cheaper to skip pre-fetching and obtain metricNames inline.
return nil
}
// Pre-fetch metricIDs.
sort.Sort(metricIDs)
var metricName []byte
var err error
idb := s.idb()
is := idb.getIndexSearch()
defer idb.putIndexSearch(is)
for _, metricID := range metricIDs {
metricName, err = is.searchMetricName(metricName[:0], metricID)
if err != nil && err != io.EOF {
return fmt.Errorf("error in pre-fetching metricName for metricID=%d: %s", metricID, err)
}
}
// Store the pre-fetched metricIDs, so they aren't pre-fetched next time.
prefetchedMetricIDsNew := prefetchedMetricIDs.Clone()
for _, metricID := range metricIDs {
prefetchedMetricIDsNew.Add(metricID)
}
s.prefetchedMetricIDs.Store(prefetchedMetricIDsNew)
return nil
}
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// DeleteMetrics deletes all the metrics matching the given tfss.
//
// Returns the number of metrics deleted.
func (s *Storage) DeleteMetrics(tfss []*TagFilters) (int, error) {
deletedCount, err := s.idb().DeleteTSIDs(tfss)
if err != nil {
return deletedCount, fmt.Errorf("cannot delete tsids: %s", err)
}
// Do not reset MetricName -> TSID cache (tsidCache), since the obtained
// entries must be checked against deleted metricIDs.
// See Storage.add for details.
//
// Do not reset MetricID -> MetricName cache, since it must be used only
// after filtering out deleted metricIDs.
return deletedCount, nil
}
// searchMetricName appends metric name for the given metricID to dst
// and returns the result.
func (s *Storage) searchMetricName(dst []byte, metricID uint64) ([]byte, error) {
return s.idb().searchMetricName(dst, metricID)
}
// SearchTagKeys searches for tag keys
func (s *Storage) SearchTagKeys(maxTagKeys int) ([]string, error) {
return s.idb().SearchTagKeys(maxTagKeys)
}
// SearchTagValues searches for tag values for the given tagKey
func (s *Storage) SearchTagValues(tagKey []byte, maxTagValues int) ([]string, error) {
return s.idb().SearchTagValues(tagKey, maxTagValues)
}
// SearchTagEntries returns a list of (tagName -> tagValues)
func (s *Storage) SearchTagEntries(maxTagKeys, maxTagValues int) ([]TagEntry, error) {
idb := s.idb()
keys, err := idb.SearchTagKeys(maxTagKeys)
if err != nil {
return nil, fmt.Errorf("cannot search tag keys: %s", err)
}
// Sort keys for faster seeks below
sort.Strings(keys)
tes := make([]TagEntry, len(keys))
for i, key := range keys {
values, err := idb.SearchTagValues([]byte(key), maxTagValues)
if err != nil {
return nil, fmt.Errorf("cannot search values for tag %q: %s", key, err)
}
te := &tes[i]
te.Key = key
te.Values = values
}
return tes, nil
}
// TagEntry contains (tagName -> tagValues) mapping
type TagEntry struct {
// Key is tagName
Key string
// Values contains all the values for Key.
Values []string
}
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// GetSeriesCount returns the approximate number of unique time series.
//
// It includes the deleted series too and may count the same series
// up to two times - in db and extDB.
func (s *Storage) GetSeriesCount() (uint64, error) {
return s.idb().GetSeriesCount()
}
// GetTSDBStatusForDate returns TSDB status data for /api/v1/status/tsdb.
//
// See https://prometheus.io/docs/prometheus/latest/querying/api/#tsdb-stats
func (s *Storage) GetTSDBStatusForDate(date uint64, topN int) (*TSDBStatus, error) {
return s.idb().GetTSDBStatusForDate(date, topN)
}
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// MetricRow is a metric to insert into storage.
type MetricRow struct {
// MetricNameRaw contains raw metric name, which must be decoded
// with MetricName.unmarshalRaw.
MetricNameRaw []byte
Timestamp int64
Value float64
}
// CopyFrom copies src to mr.
func (mr *MetricRow) CopyFrom(src *MetricRow) {
mr.MetricNameRaw = append(mr.MetricNameRaw[:0], src.MetricNameRaw...)
mr.Timestamp = src.Timestamp
mr.Value = src.Value
}
// String returns string representation of the mr.
func (mr *MetricRow) String() string {
metricName := string(mr.MetricNameRaw)
var mn MetricName
if err := mn.unmarshalRaw(mr.MetricNameRaw); err == nil {
metricName = mn.String()
}
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return fmt.Sprintf("MetricName=%s, Timestamp=%d, Value=%f\n", metricName, mr.Timestamp, mr.Value)
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}
// Marshal appends marshaled mr to dst and returns the result.
func (mr *MetricRow) Marshal(dst []byte) []byte {
dst = encoding.MarshalBytes(dst, mr.MetricNameRaw)
dst = encoding.MarshalUint64(dst, uint64(mr.Timestamp))
dst = encoding.MarshalUint64(dst, math.Float64bits(mr.Value))
return dst
}
// Unmarshal unmarshals mr from src and returns the remaining tail from src.
func (mr *MetricRow) Unmarshal(src []byte) ([]byte, error) {
tail, metricNameRaw, err := encoding.UnmarshalBytes(src)
if err != nil {
return tail, fmt.Errorf("cannot unmarshal MetricName: %s", err)
}
mr.MetricNameRaw = append(mr.MetricNameRaw[:0], 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
}
// AddRows adds the given mrs to s.
func (s *Storage) AddRows(mrs []MetricRow, precisionBits uint8) error {
if len(mrs) == 0 {
return nil
}
// Limit the number of concurrent goroutines that may add rows to the storage.
// This should prevent from out of memory errors and CPU trashing when too many
// goroutines call AddRows.
select {
case addRowsConcurrencyCh <- struct{}{}:
defer func() { <-addRowsConcurrencyCh }()
default:
// Sleep for a while until giving up
atomic.AddUint64(&s.addRowsConcurrencyLimitReached, 1)
t := timerpool.Get(addRowsTimeout)
select {
case addRowsConcurrencyCh <- struct{}{}:
timerpool.Put(t)
defer func() { <-addRowsConcurrencyCh }()
case <-t.C:
timerpool.Put(t)
atomic.AddUint64(&s.addRowsConcurrencyLimitTimeout, 1)
atomic.AddUint64(&s.addRowsConcurrencyDroppedRows, uint64(len(mrs)))
return fmt.Errorf("Cannot add %d rows to storage in %s, since it is overloaded with %d concurrent writers. Add more CPUs or reduce load",
len(mrs), addRowsTimeout, cap(addRowsConcurrencyCh))
}
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}
// Add rows to the storage.
var err error
rr := getRawRowsWithSize(len(mrs))
rr.rows, err = s.add(rr.rows, mrs, precisionBits)
putRawRows(rr)
return err
}
var (
addRowsConcurrencyCh = make(chan struct{}, runtime.GOMAXPROCS(-1)*2)
addRowsTimeout = 30 * time.Second
)
func (s *Storage) add(rows []rawRow, mrs []MetricRow, precisionBits uint8) ([]rawRow, error) {
var is *indexSearch
var mn *MetricName
var kb *bytesutil.ByteBuffer
idb := s.idb()
dmis := idb.getDeletedMetricIDs()
rowsLen := len(rows)
if n := rowsLen + len(mrs) - cap(rows); n > 0 {
rows = append(rows[:cap(rows)], make([]rawRow, n)...)
}
rows = rows[:rowsLen+len(mrs)]
j := 0
var (
// These vars are used for speeding up bulk imports of multiple adjancent rows for the same metricName.
prevTSID TSID
prevMetricNameRaw []byte
)
minTimestamp, maxTimestamp := s.tb.getMinMaxTimestamps()
// Return only the last error, since it has no sense in returning all errors.
var lastWarn error
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for i := range mrs {
mr := &mrs[i]
if math.IsNaN(mr.Value) {
// Just skip NaNs, since the underlying encoding
// doesn't know how to work with them.
continue
}
if mr.Timestamp < minTimestamp {
// Skip rows with too small timestamps outside the retention.
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lastWarn = fmt.Errorf("cannot insert row with too small timestamp %d outside the retention; minimum allowed timestamp is %d", mr.Timestamp, minTimestamp)
atomic.AddUint64(&s.tooSmallTimestampRows, 1)
continue
}
if mr.Timestamp > maxTimestamp {
// Skip rows with too big timestamps significantly exceeding the current time.
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lastWarn = fmt.Errorf("cannot insert row with too big timestamp %d exceeding the current time; maximum allowd timestamp is %d", mr.Timestamp, maxTimestamp)
atomic.AddUint64(&s.tooBigTimestampRows, 1)
continue
}
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r := &rows[rowsLen+j]
j++
r.Timestamp = mr.Timestamp
r.Value = mr.Value
r.PrecisionBits = precisionBits
if string(mr.MetricNameRaw) == string(prevMetricNameRaw) {
// Fast path - the current mr contains the same metric name as the previous mr, so it contains the same TSID.
// This path should trigger on bulk imports when many rows contain the same MetricNameRaw.
r.TSID = prevTSID
continue
}
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if s.getTSIDFromCache(&r.TSID, mr.MetricNameRaw) {
if !dmis.Has(r.TSID.MetricID) {
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// Fast path - the TSID for the given MetricName has been found in cache and isn't deleted.
prevTSID = r.TSID
prevMetricNameRaw = mr.MetricNameRaw
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continue
}
}
// Slow path - the TSID is missing in the cache. Search for it in the index.
if is == nil {
is = idb.getIndexSearch()
mn = GetMetricName()
kb = kbPool.Get()
}
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.
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lastWarn = fmt.Errorf("cannot unmarshal MetricNameRaw %q: %s", mr.MetricNameRaw, err)
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j--
continue
}
mn.sortTags()
kb.B = mn.Marshal(kb.B[:0])
if err := is.GetOrCreateTSIDByName(&r.TSID, kb.B); 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.
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lastWarn = fmt.Errorf("cannot obtain TSID for MetricName %q: %s", kb.B, err)
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j--
continue
}
s.putTSIDToCache(&r.TSID, mr.MetricNameRaw)
}
if lastWarn != nil {
logger.Errorf("warn occurred during rows addition: %s", lastWarn)
}
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if is != nil {
kbPool.Put(kb)
PutMetricName(mn)
idb.putIndexSearch(is)
}
rows = rows[:rowsLen+j]
var lastError error
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if err := s.tb.AddRows(rows); err != nil {
lastError = fmt.Errorf("cannot add rows to table: %s", err)
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}
if err := s.updatePerDateData(rows); err != nil && lastError == nil {
lastError = fmt.Errorf("cannot update per-date data: %s", err)
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}
if lastError != nil {
return rows, fmt.Errorf("error occurred during rows addition: %s", lastError)
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}
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return rows, nil
}
func (s *Storage) updatePerDateData(rows []rawRow) error {
var lastError error
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var date uint64
var hour uint64
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var prevTimestamp int64
var (
// These vars are used for speeding up bulk imports when multiple adjancent rows
// contain the same (metricID, date) pairs.
prevMatchedDate uint64
prevMatchedMetricID uint64
)
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idb := s.idb()
hm := s.currHourMetricIDs.Load().(*hourMetricIDs)
nextDayMetricIDs := &s.nextDayMetricIDs.Load().(*byDateMetricIDEntry).v
todayShare16bit := uint64((float64(uint64(time.Now().UnixNano()/1e9)%(3600*24)) / (3600 * 24)) * (1 << 16))
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for i := range rows {
r := &rows[i]
if r.Timestamp != prevTimestamp {
date = uint64(r.Timestamp) / msecPerDay
hour = uint64(r.Timestamp) / msecPerHour
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prevTimestamp = r.Timestamp
}
metricID := r.TSID.MetricID
if hour == hm.hour {
// The r belongs to the current hour. Check for the current hour cache.
if hm.m.Has(metricID) {
// Fast path: the metricID is in the current hour cache.
// This means the metricID has been already added to per-day inverted index.
// Gradually pre-populate per-day inverted index for the next day
// during the 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 todayShare16bit > (metricID&(1<<16-1)) && !nextDayMetricIDs.Has(metricID) {
if err := idb.storeDateMetricID(date+1, metricID); err != nil && lastError == nil {
lastError = err
continue
}
s.pendingNextDayMetricIDsLock.Lock()
s.pendingNextDayMetricIDs.Add(metricID)
s.pendingNextDayMetricIDsLock.Unlock()
}
continue
}
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s.pendingHourEntriesLock.Lock()
s.pendingHourEntries.Add(metricID)
s.pendingHourEntriesLock.Unlock()
}
// Slower path: check global cache for (date, metricID) entry.
if metricID == prevMatchedMetricID && date == prevMatchedDate {
// Fast path for bulk import of multiple rows with the same (date, metricID) pairs.
continue
}
if s.dateMetricIDCache.Has(date, metricID) {
// The metricID has been already added to per-day inverted index.
prevMatchedDate = date
prevMatchedMetricID = metricID
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continue
}
// Slow path: store the (date, metricID) entry in the indexDB.
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// It is OK if the (date, metricID) entry is added multiple times to db
// by concurrent goroutines.
if err := idb.storeDateMetricID(date, metricID); err != nil && lastError == nil {
lastError = err
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continue
}
// The metric must be added to cache only after it has been successfully added to indexDB.
s.dateMetricIDCache.Set(date, metricID)
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}
return lastError
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}
// dateMetricIDCache is fast cache for holding (date, metricID) entries.
//
// It should be faster than map[date]*uint64set.Set on multicore systems.
type dateMetricIDCache struct {
// 64-bit counters must be at the top of the structure to be properly aligned on 32-bit arches.
syncsCount uint64
resetsCount uint64
// Contains immutable map
byDate atomic.Value
// Contains mutable map protected by mu
byDateMutable *byDateMetricIDMap
lastSyncTime time.Time
mu sync.Mutex
}
func newDateMetricIDCache() *dateMetricIDCache {
var dmc dateMetricIDCache
dmc.Reset()
return &dmc
}
func (dmc *dateMetricIDCache) Reset() {
dmc.mu.Lock()
// Do not reset syncsCount and resetsCount
dmc.byDate.Store(newByDateMetricIDMap())
dmc.byDateMutable = newByDateMetricIDMap()
dmc.lastSyncTime = time.Now()
dmc.mu.Unlock()
atomic.AddUint64(&dmc.resetsCount, 1)
}
func (dmc *dateMetricIDCache) EntriesCount() int {
byDate := dmc.byDate.Load().(*byDateMetricIDMap)
n := 0
for _, e := range byDate.m {
n += e.v.Len()
}
return n
}
func (dmc *dateMetricIDCache) SizeBytes() uint64 {
byDate := dmc.byDate.Load().(*byDateMetricIDMap)
n := uint64(0)
for _, e := range byDate.m {
n += e.v.SizeBytes()
}
return n
}
func (dmc *dateMetricIDCache) Has(date, metricID uint64) bool {
byDate := dmc.byDate.Load().(*byDateMetricIDMap)
v := byDate.get(date)
if v.Has(metricID) {
// Fast path.
// The majority of calls must go here.
return true
}
// Slow path. Check mutable map.
currentTime := time.Now()
dmc.mu.Lock()
v = dmc.byDateMutable.get(date)
ok := v.Has(metricID)
mustSync := false
if currentTime.Sub(dmc.lastSyncTime) > 10*time.Second {
mustSync = true
dmc.lastSyncTime = currentTime
}
dmc.mu.Unlock()
if mustSync {
dmc.sync()
}
return ok
}
func (dmc *dateMetricIDCache) Set(date, metricID uint64) {
dmc.mu.Lock()
v := dmc.byDateMutable.getOrCreate(date)
v.Add(metricID)
dmc.mu.Unlock()
}
func (dmc *dateMetricIDCache) sync() {
dmc.mu.Lock()
byDate := dmc.byDate.Load().(*byDateMetricIDMap)
for date, e := range dmc.byDateMutable.m {
v := byDate.get(date)
e.v.Union(v)
}
dmc.byDate.Store(dmc.byDateMutable)
dmc.byDateMutable = newByDateMetricIDMap()
dmc.mu.Unlock()
atomic.AddUint64(&dmc.syncsCount, 1)
if dmc.EntriesCount() > memory.Allowed()/128 {
dmc.Reset()
}
}
type byDateMetricIDMap struct {
hotEntry atomic.Value
m map[uint64]*byDateMetricIDEntry
}
func newByDateMetricIDMap() *byDateMetricIDMap {
dmm := &byDateMetricIDMap{
m: make(map[uint64]*byDateMetricIDEntry),
}
dmm.hotEntry.Store(&byDateMetricIDEntry{})
return dmm
}
func (dmm *byDateMetricIDMap) get(date uint64) *uint64set.Set {
hotEntry := dmm.hotEntry.Load().(*byDateMetricIDEntry)
if hotEntry.date == date {
// Fast path
return &hotEntry.v
}
// Slow path
e := dmm.m[date]
if e == nil {
return nil
}
dmm.hotEntry.Store(e)
return &e.v
}
func (dmm *byDateMetricIDMap) getOrCreate(date uint64) *uint64set.Set {
v := dmm.get(date)
if v != nil {
return v
}
e := &byDateMetricIDEntry{
date: date,
}
dmm.m[date] = e
return &e.v
}
type byDateMetricIDEntry struct {
date uint64
v uint64set.Set
}
func (s *Storage) updateNextDayMetricIDs() {
date := uint64(timestampFromTime(time.Now())) / msecPerDay
e := s.nextDayMetricIDs.Load().(*byDateMetricIDEntry)
s.pendingNextDayMetricIDsLock.Lock()
pendingMetricIDs := s.pendingNextDayMetricIDs
s.pendingNextDayMetricIDs = &uint64set.Set{}
s.pendingNextDayMetricIDsLock.Unlock()
if pendingMetricIDs.Len() == 0 && e.date == date {
// Fast path: nothing to update.
return
}
// Slow path: union pendingMetricIDs with e.v
if e.date == date {
pendingMetricIDs.Union(&e.v)
}
eNew := &byDateMetricIDEntry{
date: date,
v: *pendingMetricIDs,
}
s.nextDayMetricIDs.Store(eNew)
}
func (s *Storage) updateCurrHourMetricIDs() {
hm := s.currHourMetricIDs.Load().(*hourMetricIDs)
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s.pendingHourEntriesLock.Lock()
newMetricIDs := s.pendingHourEntries
s.pendingHourEntries = &uint64set.Set{}
s.pendingHourEntriesLock.Unlock()
hour := uint64(timestampFromTime(time.Now())) / msecPerHour
if newMetricIDs.Len() == 0 && hm.hour == hour {
// Fast path: nothing to update.
return
}
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// Slow path: hm.m must be updated with non-empty s.pendingHourEntries.
var m *uint64set.Set
isFull := hm.isFull
if hm.hour == hour {
m = hm.m.Clone()
} else {
m = &uint64set.Set{}
isFull = true
}
m.Union(newMetricIDs)
hmNew := &hourMetricIDs{
m: m,
hour: hour,
isFull: isFull,
}
s.currHourMetricIDs.Store(hmNew)
if hm.hour != hour {
s.prevHourMetricIDs.Store(hm)
}
}
type hourMetricIDs struct {
m *uint64set.Set
hour uint64
isFull bool
}
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func (s *Storage) getTSIDFromCache(dst *TSID, 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 *TSID, metricName []byte) {
buf := (*[unsafe.Sizeof(*tsid)]byte)(unsafe.Pointer(tsid))[:]
s.tsidCache.Set(metricName, buf)
}
func openIndexDBTables(path string, metricIDCache, metricNameCache *workingsetcache.Cache, currHourMetricIDs, prevHourMetricIDs *atomic.Value) (curr, prev *indexDB, err error) {
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if err := fs.MkdirAllIfNotExist(path); err != nil {
return nil, nil, fmt.Errorf("cannot create directory %q: %s", path, err)
}
d, err := os.Open(path)
if err != nil {
return nil, nil, fmt.Errorf("cannot open directory: %s", err)
}
defer fs.MustClose(d)
// Search for the two most recent tables - the last one is active,
// the previous one contains backup data.
fis, err := d.Readdir(-1)
if err != nil {
return nil, nil, fmt.Errorf("cannot read directory: %s", err)
}
var tableNames []string
for _, fi := range fis {
if !fs.IsDirOrSymlink(fi) {
// Skip non-directories.
continue
}
tableName := fi.Name()
if !indexDBTableNameRegexp.MatchString(tableName) {
// Skip invalid directories.
continue
}
tableNames = append(tableNames, tableName)
}
sort.Slice(tableNames, func(i, j int) bool {
return tableNames[i] < tableNames[j]
})
if len(tableNames) < 2 {
// Create missing tables
if len(tableNames) == 0 {
prevName := nextIndexDBTableName()
tableNames = append(tableNames, prevName)
}
currName := nextIndexDBTableName()
tableNames = append(tableNames, currName)
}
// Invariant: len(tableNames) >= 2
// Remove all the tables except two last tables.
for _, tn := range tableNames[:len(tableNames)-2] {
pathToRemove := path + "/" + tn
logger.Infof("removing obsolete indexdb dir %q...", pathToRemove)
fs.MustRemoveAll(pathToRemove)
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logger.Infof("removed obsolete indexdb dir %q", pathToRemove)
}
// Persist changes on the file system.
fs.MustSyncPath(path)
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// Open the last two tables.
currPath := path + "/" + tableNames[len(tableNames)-1]
curr, err = openIndexDB(currPath, metricIDCache, metricNameCache, currHourMetricIDs, prevHourMetricIDs)
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if err != nil {
return nil, nil, fmt.Errorf("cannot open curr indexdb table at %q: %s", currPath, err)
}
prevPath := path + "/" + tableNames[len(tableNames)-2]
prev, err = openIndexDB(prevPath, metricIDCache, metricNameCache, currHourMetricIDs, prevHourMetricIDs)
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if err != nil {
curr.MustClose()
return nil, nil, fmt.Errorf("cannot open prev indexdb table at %q: %s", prevPath, err)
}
// Adjust startDateForPerDayInvertedIndex for the previous index.
if prev.startDateForPerDayInvertedIndex > curr.startDateForPerDayInvertedIndex {
prev.startDateForPerDayInvertedIndex = curr.startDateForPerDayInvertedIndex
}
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return curr, prev, nil
}
var indexDBTableNameRegexp = regexp.MustCompile("^[0-9A-F]{16}$")
func nextIndexDBTableName() string {
n := atomic.AddUint64(&indexDBTableIdx, 1)
return fmt.Sprintf("%016X", n)
}
var indexDBTableIdx = uint64(time.Now().UnixNano())