VictoriaMetrics/lib/storage/index_db.go

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package storage
import (
"bytes"
"errors"
"fmt"
"io"
"path/filepath"
"sort"
"sync"
"sync/atomic"
"time"
"unsafe"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/encoding"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/fs"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/memory"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/mergeset"
"github.com/VictoriaMetrics/fastcache"
xxhash "github.com/cespare/xxhash/v2"
)
const (
// Prefix for MetricName->TSID entries.
nsPrefixMetricNameToTSID = 0
// Prefix for Tag->MetricID entries.
nsPrefixTagToMetricID = 1
// Prefix for MetricID->TSID entries.
nsPrefixMetricIDToTSID = 2
// Prefix for MetricID->MetricName entries.
nsPrefixMetricIDToMetricName = 3
// Prefix for deleted MetricID entries.
nsPrefixDeteletedMetricID = 4
// Prefix for Date->MetricID entries.
nsPrefixDateToMetricID = 5
)
// indexDB represents an index db.
type indexDB struct {
name string
refCount uint64
tb *mergeset.Table
extDB *indexDB
extDBLock sync.Mutex
// Cache for fast TagFilters -> TSIDs lookup.
tagCache *fastcache.Cache
// Cache for fast MetricID -> TSID lookup.
metricIDCache *fastcache.Cache
// Cache for fast MetricID -> MetricName lookup.
metricNameCache *fastcache.Cache
// Cache holding useless TagFilters entries, which have no tag filters
// matching low number of metrics.
uselessTagFiltersCache *fastcache.Cache
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indexSearchPool sync.Pool
// An inmemory map[uint64]struct{} of deleted metricIDs.
//
// The map holds deleted metricIDs for the current db and for the extDB.
//
// It is safe to keep the map in memory even for big number of deleted
// metricIDs, since it occupies only 8 bytes per deleted metricID.
deletedMetricIDs atomic.Value
deletedMetricIDsUpdateLock sync.Mutex
// Global lists of metric ids for the current and the previous hours.
// They are used for fast lookups on small time ranges covering
// up to two last hours.
currHourMetricIDs *atomic.Value
prevHourMetricIDs *atomic.Value
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// The number of missing MetricID -> TSID entries.
// High rate for this value means corrupted indexDB.
missingTSIDsForMetricID uint64
// The number of calls to search for metric ids for recent hours.
recentHourMetricIDsSearchCalls uint64
// The number of cache hits during search for metric ids in recent hours.
recentHourMetricIDsSearchHits uint64
// The number of searches for metric ids by days.
dateMetricIDsSearchCalls uint64
// The number of successful searches for metric ids by days.
dateMetricIDsSearchHits uint64
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mustDrop uint64
}
// openIndexDB opens index db from the given path with the given caches.
func openIndexDB(path string, metricIDCache, metricNameCache *fastcache.Cache, currHourMetricIDs, prevHourMetricIDs *atomic.Value) (*indexDB, error) {
if metricIDCache == nil {
logger.Panicf("BUG: metricIDCache must be non-nil")
}
if metricNameCache == nil {
logger.Panicf("BUG: metricNameCache must be non-nil")
}
if currHourMetricIDs == nil {
logger.Panicf("BUG: currHourMetricIDs must be non-nil")
}
if prevHourMetricIDs == nil {
logger.Panicf("BUG: prevHourMetricIDs must be non-nil")
}
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tb, err := mergeset.OpenTable(path)
if err != nil {
return nil, fmt.Errorf("cannot open indexDB %q: %s", path, err)
}
name := filepath.Base(path)
// Do not persist tagCache in files, since it is very volatile.
mem := memory.Allowed()
db := &indexDB{
refCount: 1,
tb: tb,
name: name,
tagCache: fastcache.New(mem / 32),
metricIDCache: metricIDCache,
metricNameCache: metricNameCache,
uselessTagFiltersCache: fastcache.New(mem / 128),
currHourMetricIDs: currHourMetricIDs,
prevHourMetricIDs: prevHourMetricIDs,
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}
is := db.getIndexSearch()
dmis, err := is.loadDeletedMetricIDs()
db.putIndexSearch(is)
if err != nil {
return nil, fmt.Errorf("cannot load deleted metricIDs: %s", err)
}
db.setDeletedMetricIDs(dmis)
return db, nil
}
// IndexDBMetrics contains essential metrics for indexDB.
type IndexDBMetrics struct {
TagCacheSize uint64
TagCacheBytesSize uint64
TagCacheRequests uint64
TagCacheMisses uint64
UselessTagFiltersCacheSize uint64
UselessTagFiltersCacheBytesSize uint64
UselessTagFiltersCacheRequests uint64
UselessTagFiltersCacheMisses uint64
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DeletedMetricsCount uint64
IndexDBRefCount uint64
MissingTSIDsForMetricID uint64
RecentHourMetricIDsSearchCalls uint64
RecentHourMetricIDsSearchHits uint64
DateMetricIDsSearchCalls uint64
DateMetricIDsSearchHits uint64
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mergeset.TableMetrics
}
func (db *indexDB) scheduleToDrop() {
atomic.AddUint64(&db.mustDrop, 1)
}
// UpdateMetrics updates m with metrics from the db.
func (db *indexDB) UpdateMetrics(m *IndexDBMetrics) {
var cs fastcache.Stats
cs.Reset()
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db.tagCache.UpdateStats(&cs)
m.TagCacheSize += cs.EntriesCount
m.TagCacheBytesSize += cs.BytesSize
m.TagCacheRequests += cs.GetBigCalls
m.TagCacheMisses += cs.Misses
cs.Reset()
db.uselessTagFiltersCache.UpdateStats(&cs)
m.UselessTagFiltersCacheSize += cs.EntriesCount
m.UselessTagFiltersCacheBytesSize += cs.BytesSize
m.UselessTagFiltersCacheRequests += cs.GetBigCalls
m.UselessTagFiltersCacheMisses += cs.Misses
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m.DeletedMetricsCount += uint64(len(db.getDeletedMetricIDs()))
m.IndexDBRefCount += atomic.LoadUint64(&db.refCount)
m.MissingTSIDsForMetricID += atomic.LoadUint64(&db.missingTSIDsForMetricID)
m.RecentHourMetricIDsSearchCalls += atomic.LoadUint64(&db.recentHourMetricIDsSearchCalls)
m.RecentHourMetricIDsSearchHits += atomic.LoadUint64(&db.recentHourMetricIDsSearchHits)
m.DateMetricIDsSearchCalls += atomic.LoadUint64(&db.dateMetricIDsSearchCalls)
m.DateMetricIDsSearchHits += atomic.LoadUint64(&db.dateMetricIDsSearchHits)
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db.tb.UpdateMetrics(&m.TableMetrics)
db.doExtDB(func(extDB *indexDB) {
extDB.tb.UpdateMetrics(&m.TableMetrics)
m.IndexDBRefCount += atomic.LoadUint64(&extDB.refCount)
})
}
func (db *indexDB) doExtDB(f func(extDB *indexDB)) bool {
db.extDBLock.Lock()
extDB := db.extDB
if extDB != nil {
extDB.incRef()
}
db.extDBLock.Unlock()
if extDB == nil {
return false
}
f(extDB)
extDB.decRef()
return true
}
// SetExtDB sets external db to search.
//
// It decrements refCount for the previous extDB.
func (db *indexDB) SetExtDB(extDB *indexDB) {
// Add deleted metricIDs from extDB to db.
if extDB != nil {
dmisExt := extDB.getDeletedMetricIDs()
metricIDs := getSortedMetricIDs(dmisExt)
db.updateDeletedMetricIDs(metricIDs)
}
db.extDBLock.Lock()
prevExtDB := db.extDB
db.extDB = extDB
db.extDBLock.Unlock()
if prevExtDB != nil {
prevExtDB.decRef()
}
}
// MustClose closes db.
func (db *indexDB) MustClose() {
db.decRef()
}
func (db *indexDB) incRef() {
atomic.AddUint64(&db.refCount, 1)
}
func (db *indexDB) decRef() {
n := atomic.AddUint64(&db.refCount, ^uint64(0))
if int64(n) < 0 {
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logger.Panicf("BUG: negative refCount: %d", n)
}
if n > 0 {
return
}
tbPath := db.tb.Path()
db.tb.MustClose()
db.SetExtDB(nil)
// Free space occupied by caches owned by db.
db.tagCache.Reset()
db.uselessTagFiltersCache.Reset()
db.tagCache = nil
db.metricIDCache = nil
db.metricNameCache = nil
db.uselessTagFiltersCache = nil
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if atomic.LoadUint64(&db.mustDrop) == 0 {
return
}
logger.Infof("dropping indexDB %q", tbPath)
fs.MustRemoveAll(tbPath)
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logger.Infof("indexDB %q has been dropped", tbPath)
}
func (db *indexDB) getFromTagCache(key []byte) ([]TSID, bool) {
value := db.tagCache.GetBig(nil, key)
if len(value) == 0 {
return nil, false
}
tsids, err := unmarshalTSIDs(nil, value)
if err != nil {
logger.Panicf("FATAL: cannot unmarshal tsids from tagCache: %s", err)
}
return tsids, true
}
func (db *indexDB) putToTagCache(tsids []TSID, key []byte) {
value := marshalTSIDs(nil, tsids)
db.tagCache.SetBig(key, value)
}
func (db *indexDB) getFromMetricIDCache(dst *TSID, metricID uint64) error {
// There is no need in checking for deleted metricIDs here, since they
// must be checked by the caller.
buf := (*[unsafe.Sizeof(*dst)]byte)(unsafe.Pointer(dst))
key := (*[unsafe.Sizeof(metricID)]byte)(unsafe.Pointer(&metricID))
tmp := db.metricIDCache.Get(buf[:0], key[:])
if len(tmp) == 0 {
// The TSID for the given metricID wasn't found in the cache.
return io.EOF
}
if &tmp[0] != &buf[0] || len(tmp) != len(buf) {
return fmt.Errorf("corrupted MetricID->TSID cache: unexpected size for metricID=%d value; got %d bytes; want %d bytes", metricID, len(tmp), len(buf))
}
return nil
}
func (db *indexDB) putToMetricIDCache(metricID uint64, tsid *TSID) {
buf := (*[unsafe.Sizeof(*tsid)]byte)(unsafe.Pointer(tsid))
key := (*[unsafe.Sizeof(metricID)]byte)(unsafe.Pointer(&metricID))
db.metricIDCache.Set(key[:], buf[:])
}
func (db *indexDB) getMetricNameFromCache(dst []byte, metricID uint64) []byte {
// There is no need in checking for deleted metricIDs here, since they
// must be checked by the caller.
key := (*[unsafe.Sizeof(metricID)]byte)(unsafe.Pointer(&metricID))
return db.metricNameCache.Get(dst, key[:])
}
func (db *indexDB) putMetricNameToCache(metricID uint64, metricName []byte) {
key := (*[unsafe.Sizeof(metricID)]byte)(unsafe.Pointer(&metricID))
db.metricNameCache.Set(key[:], metricName)
}
func marshalTagFiltersKey(dst []byte, tfss []*TagFilters, versioned bool) []byte {
prefix := ^uint64(0)
if versioned {
prefix = atomic.LoadUint64(&tagFiltersKeyGen)
}
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dst = encoding.MarshalUint64(dst, prefix)
for _, tfs := range tfss {
dst = append(dst, 0) // separator between tfs groups.
for i := range tfs.tfs {
dst = tfs.tfs[i].Marshal(dst)
}
}
return dst
}
func marshalTSIDs(dst []byte, tsids []TSID) []byte {
dst = encoding.MarshalUint64(dst, uint64(len(tsids)))
for i := range tsids {
dst = tsids[i].Marshal(dst)
}
return dst
}
func unmarshalTSIDs(dst []TSID, src []byte) ([]TSID, error) {
if len(src) < 8 {
return dst, fmt.Errorf("cannot unmarshal the number of tsids from %d bytes; require at least %d bytes", len(src), 8)
}
n := encoding.UnmarshalUint64(src)
src = src[8:]
dstLen := len(dst)
if nn := dstLen + int(n) - cap(dst); nn > 0 {
dst = append(dst[:cap(dst)], make([]TSID, nn)...)
}
dst = dst[:dstLen+int(n)]
for i := 0; i < int(n); i++ {
tail, err := dst[dstLen+i].Unmarshal(src)
if err != nil {
return dst, fmt.Errorf("cannot unmarshal tsid #%d out of %d: %s", i, n, err)
}
src = tail
}
if len(src) > 0 {
return dst, fmt.Errorf("non-zero tail left after unmarshaling %d tsids; len(tail)=%d", n, len(src))
}
return dst, nil
}
func (db *indexDB) invalidateTagCache() {
// This function must be fast, since it is called each
// time new timeseries is added.
atomic.AddUint64(&tagFiltersKeyGen, 1)
}
var tagFiltersKeyGen uint64
// getTSIDByNameNoCreate fills the dst with TSID for the given metricName.
//
// It returns io.EOF if the given mn isn't found locally.
func (db *indexDB) getTSIDByNameNoCreate(dst *TSID, metricName []byte) error {
is := db.getIndexSearch()
err := is.getTSIDByMetricName(dst, metricName)
db.putIndexSearch(is)
if err == nil {
return nil
}
if err != io.EOF {
return fmt.Errorf("cannot search TSID by MetricName %q: %s", metricName, err)
}
// Do not search for the TSID in the external storage,
// since this function is already called by another indexDB instance.
// The TSID for the given mn wasn't found.
return io.EOF
}
type indexSearch struct {
db *indexDB
ts mergeset.TableSearch
kb bytesutil.ByteBuffer
// tsidByNameMisses and tsidByNameSkips is used for a performance
// hack in GetOrCreateTSIDByName. See the comment there.
tsidByNameMisses int
tsidByNameSkips int
}
// GetOrCreateTSIDByName fills the dst with TSID for the given metricName.
func (is *indexSearch) GetOrCreateTSIDByName(dst *TSID, metricName []byte) error {
// A hack: skip searching for the TSID after many serial misses.
// This should improve insertion performance for big batches
// of new time series.
if is.tsidByNameMisses < 100 {
err := is.getTSIDByMetricName(dst, metricName)
if err == nil {
is.tsidByNameMisses = 0
return nil
}
if err != io.EOF {
return fmt.Errorf("cannot search TSID by MetricName %q: %s", metricName, err)
}
is.tsidByNameMisses++
} else {
is.tsidByNameSkips++
if is.tsidByNameSkips > 10000 {
is.tsidByNameSkips = 0
is.tsidByNameMisses = 0
}
}
// TSID for the given name wasn't found. Create it.
// It is OK if duplicate TSID for mn is created by concurrent goroutines.
// Metric results will be merged by mn after TableSearch.
if err := is.db.createTSIDByName(dst, metricName); err != nil {
return fmt.Errorf("cannot create TSID by MetricName %q: %s", metricName, err)
}
return nil
}
func (db *indexDB) getIndexSearch() *indexSearch {
v := db.indexSearchPool.Get()
if v == nil {
v = &indexSearch{
db: db,
}
}
is := v.(*indexSearch)
is.ts.Init(db.tb)
return is
}
func (db *indexDB) putIndexSearch(is *indexSearch) {
is.ts.MustClose()
is.kb.Reset()
// Do not reset tsidByNameMisses and tsidByNameSkips,
// since they are used in GetOrCreateTSIDByName across call boundaries.
db.indexSearchPool.Put(is)
}
func (db *indexDB) createTSIDByName(dst *TSID, metricName []byte) error {
mn := GetMetricName()
defer PutMetricName(mn)
if err := mn.Unmarshal(metricName); err != nil {
return fmt.Errorf("cannot unmarshal metricName %q: %s", metricName, err)
}
if err := db.generateTSID(dst, metricName, mn); err != nil {
return fmt.Errorf("cannot generate TSID: %s", err)
}
if err := db.createIndexes(dst, mn); err != nil {
return fmt.Errorf("cannot create indexes: %s", err)
}
// Invalidate tag cache, since it doesn't contain tags for the created mn -> TSID mapping.
db.invalidateTagCache()
return nil
}
func (db *indexDB) generateTSID(dst *TSID, metricName []byte, mn *MetricName) error {
// Search the TSID in the external storage.
// This is usually the db from the previous period.
var err error
if db.doExtDB(func(extDB *indexDB) {
err = extDB.getTSIDByNameNoCreate(dst, metricName)
}) {
if err == nil {
// The TSID has been found in the external storage.
return nil
}
if err != io.EOF {
return fmt.Errorf("external search failed: %s", err)
}
}
// The TSID wan't found in the external storage.
// Generate it locally.
dst.MetricGroupID = xxhash.Sum64(mn.MetricGroup)
if len(mn.Tags) > 0 {
dst.JobID = uint32(xxhash.Sum64(mn.Tags[0].Value))
}
if len(mn.Tags) > 1 {
dst.InstanceID = uint32(xxhash.Sum64(mn.Tags[1].Value))
}
dst.MetricID = getUniqueUint64()
return nil
}
func (db *indexDB) createIndexes(tsid *TSID, mn *MetricName) error {
// The order of index items is important.
// It guarantees index consistency.
items := getIndexItems()
// Create MetricName -> TSID index.
items.B = append(items.B, nsPrefixMetricNameToTSID)
items.B = mn.Marshal(items.B)
items.B = append(items.B, kvSeparatorChar)
items.B = tsid.Marshal(items.B)
items.Next()
// Create MetricID -> MetricName index.
items.B = marshalCommonPrefix(items.B, nsPrefixMetricIDToMetricName)
items.B = encoding.MarshalUint64(items.B, tsid.MetricID)
items.B = mn.Marshal(items.B)
items.Next()
// Create MetricID -> TSID index.
items.B = marshalCommonPrefix(items.B, nsPrefixMetricIDToTSID)
items.B = encoding.MarshalUint64(items.B, tsid.MetricID)
items.B = tsid.Marshal(items.B)
items.Next()
commonPrefix := kbPool.Get()
commonPrefix.B = marshalCommonPrefix(commonPrefix.B[:0], nsPrefixTagToMetricID)
// Create MetricGroup -> MetricID index.
items.B = append(items.B, commonPrefix.B...)
items.B = marshalTagValue(items.B, nil)
items.B = marshalTagValue(items.B, mn.MetricGroup)
items.B = encoding.MarshalUint64(items.B, tsid.MetricID)
items.Next()
// For each tag create tag -> MetricID index.
for i := range mn.Tags {
tag := &mn.Tags[i]
items.B = append(items.B, commonPrefix.B...)
items.B = tag.Marshal(items.B)
items.B = encoding.MarshalUint64(items.B, tsid.MetricID)
items.Next()
}
kbPool.Put(commonPrefix)
err := db.tb.AddItems(items.Items)
putIndexItems(items)
return err
}
type indexItems struct {
B []byte
Items [][]byte
start int
}
func (ii *indexItems) reset() {
ii.B = ii.B[:0]
ii.Items = ii.Items[:0]
ii.start = 0
}
func (ii *indexItems) Next() {
ii.Items = append(ii.Items, ii.B[ii.start:])
ii.start = len(ii.B)
}
func getIndexItems() *indexItems {
v := indexItemsPool.Get()
if v == nil {
return &indexItems{}
}
return v.(*indexItems)
}
func putIndexItems(ii *indexItems) {
ii.reset()
indexItemsPool.Put(ii)
}
var indexItemsPool sync.Pool
// SearchTagKeys returns all the tag keys.
func (db *indexDB) SearchTagKeys(maxTagKeys int) ([]string, error) {
// TODO: cache results?
tks := make(map[string]struct{})
is := db.getIndexSearch()
err := is.searchTagKeys(tks, maxTagKeys)
db.putIndexSearch(is)
if err != nil {
return nil, err
}
ok := db.doExtDB(func(extDB *indexDB) {
is := extDB.getIndexSearch()
err = is.searchTagKeys(tks, maxTagKeys)
extDB.putIndexSearch(is)
})
if ok && err != nil {
return nil, err
}
keys := make([]string, 0, len(tks))
for key := range tks {
keys = append(keys, key)
}
// Do not sort keys, since they must be sorted by vmselect.
return keys, nil
}
func (is *indexSearch) searchTagKeys(tks map[string]struct{}, maxTagKeys int) error {
ts := &is.ts
kb := &is.kb
dmis := is.db.getDeletedMetricIDs()
commonPrefix := marshalCommonPrefix(nil, nsPrefixTagToMetricID)
ts.Seek(commonPrefix)
for len(tks) < maxTagKeys && ts.NextItem() {
item := ts.Item
if !bytes.HasPrefix(item, commonPrefix) {
break
}
tail := item[len(commonPrefix):]
// Unmarshal tag key into kb.B
var err error
tail, kb.B, err = unmarshalTagValue(kb.B[:0], tail)
if err != nil {
return fmt.Errorf("cannot unmarshal tagKey from %X: %s", item, err)
}
// Verify that the tag key points to existing metric.
if len(tail) < 8 {
return fmt.Errorf("cannot unmarshal metricID from less than 8 bytes; got %d bytes; item=%X", len(tail), tail)
}
metricID := encoding.UnmarshalUint64(tail[len(tail)-8:])
if _, deleted := dmis[metricID]; deleted {
// The given metric is deleted. Skip it.
continue
}
// Store tag key.
tks[string(kb.B)] = struct{}{}
// Search for the next tag key.
// tkp (tag key prefix) contains (commonPrefix + encoded tag key).
// The last char must be tagSeparatorChar. Just increment it
// in order to jump to the next tag key.
tkp := item[:len(item)-len(tail)]
if len(tkp) == 0 || tkp[len(tkp)-1] != tagSeparatorChar || tagSeparatorChar >= 0xff {
logger.Panicf("BUG: the last char in tkp=%X must be %X. Check unmarshalTagValue code", tkp, tagSeparatorChar)
}
kb.B = append(kb.B[:0], tkp...)
kb.B[len(kb.B)-1]++
ts.Seek(kb.B)
}
if err := ts.Error(); err != nil {
return fmt.Errorf("error during search for commonPrefix %q: %s", commonPrefix, err)
}
return nil
}
// SearchTagValues returns all the tag values for the given tagKey
func (db *indexDB) SearchTagValues(tagKey []byte, maxTagValues int) ([]string, error) {
// TODO: cache results?
kb := kbPool.Get()
kb.B = marshalCommonPrefix(kb.B[:0], nsPrefixTagToMetricID)
kb.B = marshalTagValue(kb.B, tagKey)
tvs := make(map[string]struct{})
is := db.getIndexSearch()
err := is.searchTagValues(tvs, kb.B, maxTagValues)
db.putIndexSearch(is)
if err != nil {
kbPool.Put(kb)
return nil, err
}
ok := db.doExtDB(func(extDB *indexDB) {
is := extDB.getIndexSearch()
err = is.searchTagValues(tvs, kb.B, maxTagValues)
extDB.putIndexSearch(is)
})
kbPool.Put(kb)
if ok && err != nil {
return nil, err
}
tagValues := make([]string, 0, len(tvs))
for tv := range tvs {
tagValues = append(tagValues, tv)
}
// Do not sort tagValues, since they must be sorted by vmselect.
return tagValues, nil
}
func (is *indexSearch) searchTagValues(tvs map[string]struct{}, prefix []byte, maxTagValues int) error {
ts := &is.ts
kb := &is.kb
dmis := is.db.getDeletedMetricIDs()
ts.Seek(prefix)
for len(tvs) < maxTagValues && ts.NextItem() {
k := ts.Item
if !bytes.HasPrefix(k, prefix) {
break
}
// Get TagValue
k = k[len(prefix):]
var err error
k, kb.B, err = unmarshalTagValue(kb.B[:0], k)
if err != nil {
return fmt.Errorf("cannot unmarshal tagValue: %s", err)
}
if len(k) != 8 {
return fmt.Errorf("unexpected suffix after tag value; want %d bytes; got %d bytes", 8, len(k))
}
// Verify whether the corresponding metric is deleted.
if len(dmis) > 0 {
metricID := encoding.UnmarshalUint64(k)
if _, deleted := dmis[metricID]; deleted {
// The metric is deleted.
continue
}
}
// Store tag value
tvs[string(kb.B)] = struct{}{}
// Search for the next tag value.
// tkp (tag key prefix) contains (commonPrefix + encoded tag value).
// The last char must be tagSeparatorChar. Just increment it
// in order to jump to the next tag key.
tkp := ts.Item[:len(ts.Item)-8]
if len(tkp) == 0 || tkp[len(tkp)-1] != tagSeparatorChar || tagSeparatorChar >= 0xff {
logger.Panicf("BUG: the last char in tkp=%X must be %X. Check unmarshalTagValue code", tkp, tagSeparatorChar)
}
kb.B = append(kb.B[:0], tkp...)
kb.B[len(kb.B)-1]++
ts.Seek(kb.B)
}
if err := ts.Error(); err != nil {
return fmt.Errorf("error when searching for tag name prefix %q: %s", prefix, err)
}
return nil
}
// GetSeriesCount returns the approximate number of unique timeseries in the db.
//
// It includes the deleted series too and may count the same series
// up to two times - in db and extDB.
func (db *indexDB) GetSeriesCount() (uint64, error) {
is := db.getIndexSearch()
n, err := is.getSeriesCount()
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db.putIndexSearch(is)
if err != nil {
return 0, err
}
var nExt uint64
ok := db.doExtDB(func(extDB *indexDB) {
is := extDB.getIndexSearch()
nExt, err = is.getSeriesCount()
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extDB.putIndexSearch(is)
})
if ok && err != nil {
return 0, err
}
return n + nExt, nil
}
// searchMetricName appends metric name for the given metricID to dst
// and returns the result.
func (db *indexDB) searchMetricName(dst []byte, metricID uint64) ([]byte, error) {
is := db.getIndexSearch()
dst, err := is.searchMetricName(dst, metricID)
db.putIndexSearch(is)
if err != io.EOF {
return dst, err
}
// Try searching in the external indexDB.
if db.doExtDB(func(extDB *indexDB) {
is := extDB.getIndexSearch()
dst, err = is.searchMetricName(dst, metricID)
extDB.putIndexSearch(is)
}) {
return dst, err
}
// Cannot find MetricName for the given metricID. This may be the case
// when indexDB contains incomplete set of metricID -> metricName entries
// after a snapshot or due to unflushed entries.
return dst, io.EOF
}
// DeleteTSIDs marks as deleted all the TSIDs matching the given tfss.
//
// The caller must reset all the caches which may contain the deleted TSIDs.
//
// Returns the number of metrics deleted.
func (db *indexDB) DeleteTSIDs(tfss []*TagFilters) (int, error) {
if len(tfss) == 0 {
return 0, nil
}
// Obtain metricIDs to delete.
is := db.getIndexSearch()
metricIDs, err := is.searchMetricIDs(tfss, TimeRange{}, 1e9)
db.putIndexSearch(is)
if err != nil {
return 0, err
}
if len(metricIDs) == 0 {
// Nothing to delete
return 0, nil
}
// Mark the found metricIDs as deleted.
items := getIndexItems()
for _, metricID := range metricIDs {
items.B = append(items.B, nsPrefixDeteletedMetricID)
items.B = encoding.MarshalUint64(items.B, metricID)
items.Next()
}
err = db.tb.AddItems(items.Items)
putIndexItems(items)
if err != nil {
return 0, err
}
deletedCount := len(metricIDs)
// atomically add deleted metricIDs to an inmemory map.
db.updateDeletedMetricIDs(metricIDs)
// Reset TagFilters -> TSIDS cache, since it may contain deleted TSIDs.
db.invalidateTagCache()
// Delete TSIDs in the extDB.
if db.doExtDB(func(extDB *indexDB) {
var n int
n, err = extDB.DeleteTSIDs(tfss)
deletedCount += n
}) {
if err != nil {
return deletedCount, fmt.Errorf("cannot delete tsids in extDB: %s", err)
}
}
return deletedCount, nil
}
func (db *indexDB) getDeletedMetricIDs() map[uint64]struct{} {
return db.deletedMetricIDs.Load().(map[uint64]struct{})
}
func (db *indexDB) setDeletedMetricIDs(dmis map[uint64]struct{}) {
db.deletedMetricIDs.Store(dmis)
}
func (db *indexDB) updateDeletedMetricIDs(metricIDs []uint64) {
db.deletedMetricIDsUpdateLock.Lock()
dmisOld := db.getDeletedMetricIDs()
dmisNew := make(map[uint64]struct{}, len(dmisOld)+len(metricIDs))
for metricID := range dmisOld {
dmisNew[metricID] = struct{}{}
}
for _, metricID := range metricIDs {
dmisNew[metricID] = struct{}{}
}
db.setDeletedMetricIDs(dmisNew)
db.deletedMetricIDsUpdateLock.Unlock()
}
func (is *indexSearch) loadDeletedMetricIDs() (map[uint64]struct{}, error) {
dmis := make(map[uint64]struct{})
ts := &is.ts
kb := &is.kb
kb.B = append(kb.B[:0], nsPrefixDeteletedMetricID)
ts.Seek(kb.B)
for ts.NextItem() {
item := ts.Item
if !bytes.HasPrefix(item, kb.B) {
break
}
item = item[len(kb.B):]
if len(item) != 8 {
return nil, fmt.Errorf("unexpected item len; got %d bytes; want %d bytes", len(item), 8)
}
metricID := encoding.UnmarshalUint64(item)
dmis[metricID] = struct{}{}
}
if err := ts.Error(); err != nil {
return nil, err
}
return dmis, nil
}
// searchTSIDs returns tsids matching the given tfss over the given tr.
func (db *indexDB) searchTSIDs(tfss []*TagFilters, tr TimeRange, maxMetrics int) ([]TSID, error) {
if len(tfss) == 0 {
return nil, nil
}
tfKeyBuf := tagFiltersKeyBufPool.Get()
defer tagFiltersKeyBufPool.Put(tfKeyBuf)
tfKeyBuf.B = marshalTagFiltersKey(tfKeyBuf.B[:0], tfss, true)
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tsids, ok := db.getFromTagCache(tfKeyBuf.B)
if ok {
// Fast path - tsids found in the cache.
return tsids, nil
}
// Slow path - search for tsids in the db and extDB.
is := db.getIndexSearch()
localTSIDs, err := is.searchTSIDs(tfss, tr, maxMetrics)
db.putIndexSearch(is)
if err != nil {
return nil, err
}
var extTSIDs []TSID
if db.doExtDB(func(extDB *indexDB) {
tfKeyExtBuf := tagFiltersKeyBufPool.Get()
defer tagFiltersKeyBufPool.Put(tfKeyExtBuf)
// Data in extDB cannot be changed, so use unversioned keys for tag cache.
tfKeyExtBuf.B = marshalTagFiltersKey(tfKeyExtBuf.B[:0], tfss, false)
tsids, ok := extDB.getFromTagCache(tfKeyExtBuf.B)
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if ok {
extTSIDs = tsids
return
}
is := extDB.getIndexSearch()
extTSIDs, err = is.searchTSIDs(tfss, tr, maxMetrics)
extDB.putIndexSearch(is)
db.putToTagCache(tsids, tfKeyExtBuf.B)
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}) {
if err != nil {
return nil, err
}
}
// Merge localTSIDs with extTSIDs.
tsids = mergeTSIDs(localTSIDs, extTSIDs)
// Sort the found tsids, since they must be passed to TSID search
// in the sorted order.
sort.Slice(tsids, func(i, j int) bool { return tsids[i].Less(&tsids[j]) })
// Store TSIDs in the cache.
db.putToTagCache(tsids, tfKeyBuf.B)
return tsids, err
}
var tagFiltersKeyBufPool bytesutil.ByteBufferPool
func (is *indexSearch) getTSIDByMetricName(dst *TSID, metricName []byte) error {
dmis := is.db.getDeletedMetricIDs()
ts := &is.ts
kb := &is.kb
kb.B = append(kb.B[:0], nsPrefixMetricNameToTSID)
kb.B = append(kb.B, metricName...)
kb.B = append(kb.B, kvSeparatorChar)
ts.Seek(kb.B)
for ts.NextItem() {
if !bytes.HasPrefix(ts.Item, kb.B) {
// Nothing found.
return io.EOF
}
v := ts.Item[len(kb.B):]
tail, err := dst.Unmarshal(v)
if err != nil {
return fmt.Errorf("cannot unmarshal TSID: %s", err)
}
if len(tail) > 0 {
return fmt.Errorf("unexpected non-empty tail left after unmarshaling TSID: %X", tail)
}
if len(dmis) > 0 {
// Verify whether the dst is marked as deleted.
if _, deleted := dmis[dst.MetricID]; deleted {
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// The dst is deleted. Continue searching.
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continue
}
}
// Found valid dst.
return nil
}
if err := ts.Error(); err != nil {
return fmt.Errorf("error when searching TSID by metricName; searchPrefix %q: %s", kb.B, err)
}
// Nothing found
return io.EOF
}
func (is *indexSearch) searchMetricName(dst []byte, metricID uint64) ([]byte, error) {
metricName := is.db.getMetricNameFromCache(dst, metricID)
if len(metricName) > len(dst) {
return metricName, nil
}
ts := &is.ts
kb := &is.kb
kb.B = marshalCommonPrefix(kb.B[:0], nsPrefixMetricIDToMetricName)
kb.B = encoding.MarshalUint64(kb.B, metricID)
if err := ts.FirstItemWithPrefix(kb.B); err != nil {
if err == io.EOF {
return dst, err
}
return dst, fmt.Errorf("error when searching metricName by metricID; searchPrefix %q: %s", kb.B, err)
}
v := ts.Item[len(kb.B):]
dst = append(dst, v...)
// There is no need in verifying whether the given metricID is deleted,
// since the filtering must be performed before calling this func.
is.db.putMetricNameToCache(metricID, dst)
return dst, nil
}
func mergeTSIDs(a, b []TSID) []TSID {
if len(b) > len(a) {
a, b = b, a
}
if len(b) == 0 {
return a
}
m := make(map[uint64]TSID, len(a))
for i := range a {
tsid := &a[i]
m[tsid.MetricID] = *tsid
}
for i := range b {
tsid := &b[i]
m[tsid.MetricID] = *tsid
}
tsids := make([]TSID, 0, len(m))
for _, tsid := range m {
tsids = append(tsids, tsid)
}
return tsids
}
func (is *indexSearch) searchTSIDs(tfss []*TagFilters, tr TimeRange, maxMetrics int) ([]TSID, error) {
// Verify whether `is` contains data for the given tr.
ok, err := is.containsTimeRange(tr)
if err != nil {
return nil, fmt.Errorf("error in containsTimeRange(%s): %s", &tr, err)
}
if !ok {
// Fast path: nothing to search.
return nil, nil
}
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metricIDs, err := is.searchMetricIDs(tfss, tr, maxMetrics)
if err != nil {
return nil, err
}
if len(metricIDs) == 0 {
// Nothing found.
return nil, nil
}
// Obtain TSID values for the given metricIDs.
tsids := make([]TSID, len(metricIDs))
i := 0
for _, metricID := range metricIDs {
// Try obtaining TSIDs from db.tsidCache. This is much faster
// than scanning the mergeset if it contains a lot of metricIDs.
tsid := &tsids[i]
err := is.db.getFromMetricIDCache(tsid, metricID)
if err == nil {
// Fast path - the tsid for metricID is found in cache.
i++
continue
}
if err != io.EOF {
return nil, err
}
if err := is.getTSIDByMetricID(tsid, metricID); err != nil {
if err == io.EOF {
// Cannot find TSID for the given metricID.
// This may be the case on incomplete indexDB
// due to snapshot or due to unflushed entries.
// Just increment errors counter and skip it.
atomic.AddUint64(&is.db.missingTSIDsForMetricID, 1)
continue
}
return nil, fmt.Errorf("cannot find tsid %d out of %d for metricID %d: %s", i, len(metricIDs), metricID, err)
}
is.db.putToMetricIDCache(metricID, tsid)
i++
}
tsids = tsids[:i]
// Do not sort the found tsids, since they will be sorted later.
return tsids, nil
}
func (is *indexSearch) getTSIDByMetricID(dst *TSID, metricID uint64) error {
// There is no need in checking for deleted metricIDs here, since they
// must be checked by the caller.
ts := &is.ts
kb := &is.kb
kb.B = marshalCommonPrefix(kb.B[:0], nsPrefixMetricIDToTSID)
kb.B = encoding.MarshalUint64(kb.B, metricID)
if err := ts.FirstItemWithPrefix(kb.B); err != nil {
if err == io.EOF {
return err
}
return fmt.Errorf("error when searching TSID by metricID; searchPrefix %q: %s", kb.B, err)
}
v := ts.Item[len(kb.B):]
tail, err := dst.Unmarshal(v)
if err != nil {
return fmt.Errorf("cannot unmarshal TSID=%X: %s", v, err)
}
if len(tail) > 0 {
return fmt.Errorf("unexpected non-zero tail left after unmarshaling TSID: %X", tail)
}
return nil
}
func (is *indexSearch) getSeriesCount() (uint64, error) {
ts := &is.ts
kb := &is.kb
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var n uint64
kb.B = append(kb.B[:0], nsPrefixMetricIDToTSID)
ts.Seek(kb.B)
for ts.NextItem() {
if !bytes.HasPrefix(ts.Item, kb.B) {
break
}
// Take into account deleted timeseries too.
n++
}
if err := ts.Error(); err != nil {
return 0, fmt.Errorf("error when counting unique timeseries: %s", err)
}
return n, nil
}
// updateMetricIDsByMetricNameMatch matches metricName values for the given srcMetricIDs against tfs
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// and adds matching metrics to metricIDs.
func (is *indexSearch) updateMetricIDsByMetricNameMatch(metricIDs, srcMetricIDs map[uint64]struct{}, tfs []*tagFilter) error {
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// sort srcMetricIDs in order to speed up Seek below.
sortedMetricIDs := make([]uint64, 0, len(srcMetricIDs))
for metricID := range srcMetricIDs {
sortedMetricIDs = append(sortedMetricIDs, metricID)
}
sort.Slice(sortedMetricIDs, func(i, j int) bool { return sortedMetricIDs[i] < sortedMetricIDs[j] })
metricName := kbPool.Get()
defer kbPool.Put(metricName)
mn := GetMetricName()
defer PutMetricName(mn)
for _, metricID := range sortedMetricIDs {
var err error
metricName.B, err = is.searchMetricName(metricName.B[:0], metricID)
if err != nil {
return fmt.Errorf("cannot find metricName by metricID %d: %s", metricID, err)
}
if err := mn.Unmarshal(metricName.B); err != nil {
return fmt.Errorf("cannot unmarshal metricName %q: %s", metricName.B, err)
}
// Match the mn against tfs.
ok, err := matchTagFilters(mn, tfs, &is.kb)
if err != nil {
return fmt.Errorf("cannot match MetricName %s against tagFilters: %s", mn, err)
}
if !ok {
continue
}
metricIDs[metricID] = struct{}{}
}
return nil
}
func (is *indexSearch) getTagFilterWithMinMetricIDsCountAdaptive(tfs *TagFilters, maxMetrics int) (*tagFilter, map[uint64]struct{}, error) {
maxMetrics = is.adjustMaxMetricsAdaptive(maxMetrics)
kb := &is.kb
kb.B = tfs.marshal(kb.B[:0])
kb.B = encoding.MarshalUint64(kb.B, uint64(maxMetrics))
if len(is.db.uselessTagFiltersCache.Get(nil, kb.B)) > 0 {
// Skip useless work below, since the tfs doesn't contain tag filters matching less than maxMetrics metrics.
return nil, nil, errTooManyMetrics
}
// Iteratively increase maxAllowedMetrics up to maxMetrics in order to limit
// the time required for founding the tag filter with minimum matching metrics.
maxAllowedMetrics := 16
if maxAllowedMetrics > maxMetrics {
maxAllowedMetrics = maxMetrics
}
for {
minTf, minMetricIDs, err := is.getTagFilterWithMinMetricIDsCount(tfs, maxAllowedMetrics)
if err != nil {
return nil, nil, err
}
if len(minMetricIDs) < maxAllowedMetrics {
// Found the tag filter with the minimum number of metrics.
return minTf, minMetricIDs, nil
}
// Too many metrics matched.
if maxAllowedMetrics >= maxMetrics {
// The tag filter with minimum matching metrics matches at least maxMetrics metrics.
kb.B = tfs.marshal(kb.B[:0])
kb.B = encoding.MarshalUint64(kb.B, uint64(maxMetrics))
is.db.uselessTagFiltersCache.Set(kb.B, []byte("1"))
return nil, nil, errTooManyMetrics
}
// Increase maxAllowedMetrics and try again.
maxAllowedMetrics *= 4
if maxAllowedMetrics > maxMetrics {
maxAllowedMetrics = maxMetrics
}
}
}
var errTooManyMetrics = errors.New("all the tag filters match too many metrics")
func (is *indexSearch) adjustMaxMetricsAdaptive(maxMetrics int) int {
hmPrev := is.db.prevHourMetricIDs.Load().(*hourMetricIDs)
if !hmPrev.isFull {
return maxMetrics
}
hourMetrics := len(hmPrev.m)
if hourMetrics >= 256 && maxMetrics > hourMetrics/4 {
// It is cheaper to filter on the hour or day metrics if the minimum
// number of matching metrics across tfs exceeds hourMetrics / 4.
return hourMetrics / 4
}
return maxMetrics
}
func (is *indexSearch) getTagFilterWithMinMetricIDsCount(tfs *TagFilters, maxMetrics int) (*tagFilter, map[uint64]struct{}, error) {
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var minMetricIDs map[uint64]struct{}
var minTf *tagFilter
for i := range tfs.tfs {
tf := &tfs.tfs[i]
if tf.isNegative {
// Skip negative filters.
continue
}
metricIDs, err := is.getMetricIDsForTagFilter(tf, maxMetrics)
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if err != nil {
if err == errFallbackToMetricNameMatch {
// Skip tag filters requiring to scan for too many metrics.
continue
}
return nil, nil, fmt.Errorf("cannot find MetricIDs for tagFilter %s: %s", tf, err)
}
if minTf == nil || len(metricIDs) < len(minMetricIDs) {
minMetricIDs = metricIDs
minTf = tf
maxMetrics = len(minMetricIDs)
if maxMetrics <= 1 {
// There is no need in inspecting other filters, since minTf
// already matches 0 or 1 metric.
break
}
}
}
if minTf != nil {
return minTf, minMetricIDs, nil
}
// There is no positive filter with small number of matching metrics.
// Create it, so it matches all the MetricIDs for tfs.commonPrefix.
metricIDs := make(map[uint64]struct{})
if err := is.updateMetricIDsForCommonPrefix(metricIDs, tfs.commonPrefix, maxMetrics); err != nil {
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return nil, nil, err
}
return nil, metricIDs, nil
}
func matchTagFilters(mn *MetricName, tfs []*tagFilter, kb *bytesutil.ByteBuffer) (bool, error) {
kb.B = marshalCommonPrefix(kb.B[:0], nsPrefixTagToMetricID)
for _, tf := range tfs {
if len(tf.key) == 0 {
// Match against mn.MetricGroup.
b := marshalTagValue(kb.B, nil)
b = marshalTagValue(b, mn.MetricGroup)
kb.B = b[:len(kb.B)]
ok, err := matchTagFilter(b, tf)
if err != nil {
return false, fmt.Errorf("cannot match MetricGroup %q with tagFilter %s: %s", mn.MetricGroup, tf, err)
}
if !ok {
return false, nil
}
continue
}
// Search for matching tag name.
tagMatched := false
for j := range mn.Tags {
tag := &mn.Tags[j]
if string(tag.Key) != string(tf.key) {
continue
}
// Found the matching tag name. Match for the value.
b := tag.Marshal(kb.B)
kb.B = b[:len(kb.B)]
ok, err := matchTagFilter(b, tf)
if err != nil {
return false, fmt.Errorf("cannot match tag %q with tagFilter %s: %s", tag, tf, err)
}
if !ok {
return false, nil
}
tagMatched = true
break
}
if !tagMatched {
// Matching tag name wasn't found.
return false, nil
}
}
return true, nil
}
func matchTagFilter(b []byte, tf *tagFilter) (bool, error) {
if !bytes.HasPrefix(b, tf.prefix) {
return tf.isNegative, nil
}
ok, err := tf.matchSuffix(b[len(tf.prefix):])
if err != nil {
return false, err
}
if !ok {
return tf.isNegative, nil
}
return !tf.isNegative, nil
}
func (is *indexSearch) searchMetricIDs(tfss []*TagFilters, tr TimeRange, maxMetrics int) ([]uint64, error) {
metricIDs := make(map[uint64]struct{})
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for _, tfs := range tfss {
if len(tfs.tfs) == 0 {
// Return all the metric ids
if err := is.updateMetricIDsForCommonPrefix(metricIDs, tfs.commonPrefix, maxMetrics+1); err != nil {
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return nil, err
}
if len(metricIDs) > maxMetrics {
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return nil, fmt.Errorf("the number or unique timeseries exceeds %d; either narrow down the search or increase -search.maxUniqueTimeseries", maxMetrics)
}
// Stop the iteration, since we cannot find more metric ids with the remaining tfss.
break
}
if err := is.updateMetricIDsForTagFilters(metricIDs, tfs, tr, maxMetrics+1); err != nil {
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return nil, err
}
if len(metricIDs) > maxMetrics {
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return nil, fmt.Errorf("the number or matching unique timeseries exceeds %d; either narrow down the search or increase -search.maxUniqueTimeseries", maxMetrics)
}
}
if len(metricIDs) == 0 {
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// Nothing found
return nil, nil
}
sortedMetricIDs := getSortedMetricIDs(metricIDs)
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// Filter out deleted metricIDs.
dmis := is.db.getDeletedMetricIDs()
if len(dmis) > 0 {
metricIDsFiltered := sortedMetricIDs[:0]
for _, metricID := range sortedMetricIDs {
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if _, deleted := dmis[metricID]; !deleted {
metricIDsFiltered = append(metricIDsFiltered, metricID)
}
}
sortedMetricIDs = metricIDsFiltered
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}
return sortedMetricIDs, nil
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}
func (is *indexSearch) updateMetricIDsForTagFilters(metricIDs map[uint64]struct{}, tfs *TagFilters, tr TimeRange, maxMetrics int) error {
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// Sort tag filters for faster ts.Seek below.
sort.Slice(tfs.tfs, func(i, j int) bool { return bytes.Compare(tfs.tfs[i].prefix, tfs.tfs[j].prefix) < 0 })
minTf, minMetricIDs, err := is.getTagFilterWithMinMetricIDsCountAdaptive(tfs, maxMetrics)
if err != nil {
if err != errTooManyMetrics {
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return err
}
// All the tag filters match too many metrics.
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// Slow path: try filtering the matching metrics by time range.
// This should work well for cases when old metrics are constantly substituted
// by big number of new metrics. For example, prometheus-operator creates many new
// metrics for each new deployment.
//
// Allow fetching up to 20*maxMetrics metrics for the given time range
// in the hope these metricIDs will be filtered out by other filters below.
maxTimeRangeMetrics := 20 * maxMetrics
metricIDsForTimeRange, err := is.getMetricIDsForTimeRange(tr, maxTimeRangeMetrics+1)
if err == errMissingMetricIDsForDate {
return fmt.Errorf("cannot find tag filter matching less than %d time series; either increase -search.maxUniqueTimeseries or use more specific tag filters",
maxMetrics)
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}
if err != nil {
return err
}
if len(metricIDsForTimeRange) > maxTimeRangeMetrics {
return fmt.Errorf("more than %d time series found on the time range %s; either increase -search.maxUniqueTimeseries or shrink the time range",
maxTimeRangeMetrics, tr.String())
}
minMetricIDs = metricIDsForTimeRange
minTf = nil
}
// Find intersection of minTf with other tfs.
var tfsPostponed []*tagFilter
for i := range tfs.tfs {
tf := &tfs.tfs[i]
if tf == minTf {
continue
}
mIDs, err := is.intersectMetricIDsWithTagFilter(tf, minMetricIDs)
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if err == errFallbackToMetricNameMatch {
// The tag filter requires too many index scans. Postpone it,
// so tag filters with lower number of index scans may be applied.
tfsPostponed = append(tfsPostponed, tf)
continue
}
if err != nil {
return err
}
minMetricIDs = mIDs
}
for i, tf := range tfsPostponed {
mIDs, err := is.intersectMetricIDsWithTagFilter(tf, minMetricIDs)
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if err == errFallbackToMetricNameMatch {
return is.updateMetricIDsByMetricNameMatch(metricIDs, minMetricIDs, tfsPostponed[i:])
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}
if err != nil {
return err
}
minMetricIDs = mIDs
}
for metricID := range minMetricIDs {
metricIDs[metricID] = struct{}{}
}
return nil
}
func (is *indexSearch) getMetricIDsForTagFilter(tf *tagFilter, maxMetrics int) (map[uint64]struct{}, error) {
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if tf.isNegative {
logger.Panicf("BUG: isNegative must be false")
}
metricIDs := make(map[uint64]struct{}, maxMetrics)
if len(tf.orSuffixes) > 0 {
// Fast path for orSuffixes - seek for rows for each value from orSuffxies.
if err := is.updateMetricIDsForOrSuffixesNoFilter(tf, maxMetrics, metricIDs); err != nil {
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return nil, err
}
return metricIDs, nil
}
// Slow path - scan all the rows with tf.prefix
maxLoops := maxMetrics * maxIndexScanLoopsPerMetric
loops := 0
ts := &is.ts
ts.Seek(tf.prefix)
for len(metricIDs) < maxMetrics && ts.NextItem() {
loops++
if loops > maxLoops {
return nil, errFallbackToMetricNameMatch
}
k := ts.Item
if !bytes.HasPrefix(k, tf.prefix) {
break
}
// Get MetricID from k (the last 8 bytes).
k = k[len(tf.prefix):]
if len(k) < 8 {
return nil, fmt.Errorf("invald key suffix size; want at least %d bytes; got %d bytes", 8, len(k))
}
v := k[len(k)-8:]
k = k[:len(k)-8]
ok, err := tf.matchSuffix(k)
if err != nil {
return nil, fmt.Errorf("error when matching %s: %s", tf, err)
}
if !ok {
continue
}
metricID := encoding.UnmarshalUint64(v)
metricIDs[metricID] = struct{}{}
}
if err := ts.Error(); err != nil {
return nil, fmt.Errorf("error when searching for tag filter prefix %q: %s", tf.prefix, err)
}
return metricIDs, nil
}
func (is *indexSearch) updateMetricIDsForOrSuffixesNoFilter(tf *tagFilter, maxMetrics int, metricIDs map[uint64]struct{}) error {
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if tf.isNegative {
logger.Panicf("BUG: isNegative must be false")
}
kb := kbPool.Get()
defer kbPool.Put(kb)
for _, orSuffix := range tf.orSuffixes {
kb.B = append(kb.B[:0], tf.prefix...)
kb.B = append(kb.B, orSuffix...)
kb.B = append(kb.B, tagSeparatorChar)
if err := is.updateMetricIDsForOrSuffixNoFilter(kb.B, maxMetrics, metricIDs); err != nil {
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return err
}
if len(metricIDs) >= maxMetrics {
return nil
}
}
return nil
}
func (is *indexSearch) updateMetricIDsForOrSuffixesWithFilter(tf *tagFilter, metricIDs, filter map[uint64]struct{}) error {
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sortedFilter := getSortedMetricIDs(filter)
kb := kbPool.Get()
defer kbPool.Put(kb)
for _, orSuffix := range tf.orSuffixes {
kb.B = append(kb.B[:0], tf.prefix...)
kb.B = append(kb.B, orSuffix...)
kb.B = append(kb.B, tagSeparatorChar)
if err := is.updateMetricIDsForOrSuffixWithFilter(kb.B, metricIDs, sortedFilter, tf.isNegative); err != nil {
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return err
}
}
return nil
}
func (is *indexSearch) updateMetricIDsForOrSuffixNoFilter(prefix []byte, maxMetrics int, metricIDs map[uint64]struct{}) error {
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ts := &is.ts
maxLoops := maxMetrics * maxIndexScanLoopsPerMetric
loops := 0
ts.Seek(prefix)
for len(metricIDs) < maxMetrics && ts.NextItem() {
loops++
if loops > maxLoops {
return errFallbackToMetricNameMatch
}
if !bytes.HasPrefix(ts.Item, prefix) {
break
}
// Get MetricID from ts.Item (the last 8 bytes).
v := ts.Item[len(prefix):]
if len(v) != 8 {
return fmt.Errorf("invalid key suffix size for prefix=%q; want %d bytes; got %d bytes; value=%q", 8, prefix, len(v), v)
}
metricID := encoding.UnmarshalUint64(v)
metricIDs[metricID] = struct{}{}
}
if err := ts.Error(); err != nil {
return fmt.Errorf("error when searching for tag filter prefix %q: %s", prefix, err)
}
return nil
}
func (is *indexSearch) updateMetricIDsForOrSuffixWithFilter(prefix []byte, metricIDs map[uint64]struct{}, sortedFilter []uint64, isNegative bool) error {
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ts := &is.ts
kb := &is.kb
for {
// Seek for the next metricID from sortedFilter.
if len(sortedFilter) == 0 {
// All the sorteFilter entries have been searched.
break
}
nextMetricID := sortedFilter[0]
sortedFilter = sortedFilter[1:]
kb.B = append(kb.B[:0], prefix...)
kb.B = encoding.MarshalUint64(kb.B, nextMetricID)
ts.Seek(kb.B)
if !ts.NextItem() {
break
}
if !bytes.HasPrefix(ts.Item, prefix) {
break
}
// Get MetricID from ts.Item (the last 8 bytes).
v := ts.Item[len(prefix):]
if len(v) != 8 {
return fmt.Errorf("invalid key suffix size for prefix=%q; want %d bytes; got %d bytes; value=%q", 8, prefix, len(v), v)
}
metricID := encoding.UnmarshalUint64(v)
if metricID != nextMetricID {
continue
}
if isNegative {
delete(metricIDs, metricID)
continue
}
metricIDs[metricID] = struct{}{}
}
if err := ts.Error(); err != nil {
return fmt.Errorf("error when searching for tag filter prefix %q: %s", prefix, err)
}
return nil
}
var errFallbackToMetricNameMatch = errors.New("fall back to updateMetricIDsByMetricNameMatch because of too many index scan loops")
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var errMissingMetricIDsForDate = errors.New("missing metricIDs for date")
func (is *indexSearch) getMetricIDsForTimeRange(tr TimeRange, maxMetrics int) (map[uint64]struct{}, error) {
if tr.isZero() {
return nil, errMissingMetricIDsForDate
}
atomic.AddUint64(&is.db.recentHourMetricIDsSearchCalls, 1)
if metricIDs, ok := is.getMetricIDsForRecentHours(tr, maxMetrics); ok {
// Fast path: tr covers the current and / or the previous hour.
// Return the full list of metric ids for this time range.
atomic.AddUint64(&is.db.recentHourMetricIDsSearchHits, 1)
return metricIDs, nil
}
// Slow path: collect the metric ids for all the days covering the given tr.
atomic.AddUint64(&is.db.dateMetricIDsSearchCalls, 1)
minDate := uint64(tr.MinTimestamp) / msecPerDay
maxDate := uint64(tr.MaxTimestamp) / msecPerDay
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if maxDate-minDate > 40 {
// Too much dates must be covered. Give up.
return nil, errMissingMetricIDsForDate
}
metricIDs := make(map[uint64]struct{}, maxMetrics)
for minDate <= maxDate {
if err := is.getMetricIDsForDate(minDate, metricIDs, maxMetrics); err != nil {
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return nil, err
}
minDate++
}
atomic.AddUint64(&is.db.dateMetricIDsSearchHits, 1)
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return metricIDs, nil
}
func (is *indexSearch) getMetricIDsForRecentHours(tr TimeRange, maxMetrics int) (map[uint64]struct{}, bool) {
minHour := uint64(tr.MinTimestamp) / msecPerHour
maxHour := uint64(tr.MaxTimestamp) / msecPerHour
hmCurr := is.db.currHourMetricIDs.Load().(*hourMetricIDs)
if maxHour == hmCurr.hour && minHour == maxHour && hmCurr.isFull {
// The tr fits the current hour.
// Return a copy of hmCurr.m, because the caller may modify
// the returned map.
if len(hmCurr.m) > maxMetrics {
return nil, false
}
return getMetricIDsCopy(hmCurr.m), true
}
hmPrev := is.db.prevHourMetricIDs.Load().(*hourMetricIDs)
if maxHour == hmPrev.hour && minHour == maxHour && hmPrev.isFull {
// The tr fits the previous hour.
// Return a copy of hmPrev.m, because the caller may modify
// the returned map.
if len(hmPrev.m) > maxMetrics {
return nil, false
}
return getMetricIDsCopy(hmPrev.m), true
}
if maxHour == hmCurr.hour && minHour == hmPrev.hour && hmCurr.isFull && hmPrev.isFull {
// The tr spans the previous and the current hours.
if len(hmCurr.m)+len(hmPrev.m) > maxMetrics {
return nil, false
}
metricIDs := make(map[uint64]struct{}, len(hmCurr.m)+len(hmPrev.m))
for metricID := range hmCurr.m {
metricIDs[metricID] = struct{}{}
}
for metricID := range hmPrev.m {
metricIDs[metricID] = struct{}{}
}
return metricIDs, true
}
return nil, false
}
func getMetricIDsCopy(src map[uint64]struct{}) map[uint64]struct{} {
dst := make(map[uint64]struct{}, len(src))
for metricID := range src {
dst[metricID] = struct{}{}
}
return dst
}
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func (db *indexDB) storeDateMetricID(date, metricID uint64) error {
is := db.getIndexSearch()
ok, err := is.hasDateMetricID(date, metricID)
db.putIndexSearch(is)
if err != nil {
return err
}
if ok {
// Fast path: the (date, metricID) entry already exists in the db.
return nil
}
// Slow path: create (date, metricID) entry.
items := getIndexItems()
items.B = marshalCommonPrefix(items.B[:0], nsPrefixDateToMetricID)
items.B = encoding.MarshalUint64(items.B, date)
items.B = encoding.MarshalUint64(items.B, metricID)
items.Next()
err = db.tb.AddItems(items.Items)
putIndexItems(items)
return err
}
func (is *indexSearch) hasDateMetricID(date, metricID uint64) (bool, error) {
ts := &is.ts
kb := &is.kb
kb.B = marshalCommonPrefix(kb.B[:0], nsPrefixDateToMetricID)
kb.B = encoding.MarshalUint64(kb.B, date)
kb.B = encoding.MarshalUint64(kb.B, metricID)
if err := ts.FirstItemWithPrefix(kb.B); err != nil {
if err == io.EOF {
return false, nil
}
return false, fmt.Errorf("error when searching for (date=%d, metricID=%d) entry: %s", date, metricID, err)
}
if string(ts.Item) != string(kb.B) {
return false, fmt.Errorf("unexpected entry for (date=%d, metricID=%d); got %q; want %q", date, metricID, ts.Item, kb.B)
}
return true, nil
}
func (is *indexSearch) getMetricIDsForDate(date uint64, metricIDs map[uint64]struct{}, maxMetrics int) error {
ts := &is.ts
kb := &is.kb
kb.B = marshalCommonPrefix(kb.B[:0], nsPrefixDateToMetricID)
kb.B = encoding.MarshalUint64(kb.B, date)
ts.Seek(kb.B)
items := 0
for len(metricIDs) < maxMetrics && ts.NextItem() {
if !bytes.HasPrefix(ts.Item, kb.B) {
break
}
// Extract MetricID from ts.Item (the last 8 bytes).
v := ts.Item[len(kb.B):]
if len(v) != 8 {
return fmt.Errorf("cannot extract metricID from k; want %d bytes; got %d bytes", 8, len(v))
}
metricID := encoding.UnmarshalUint64(v)
metricIDs[metricID] = struct{}{}
items++
}
if err := ts.Error(); err != nil {
return fmt.Errorf("error when searching for metricIDs for date %d: %s", date, err)
}
if items == 0 {
// There are no metricIDs for the given date.
// This may be the case for old data when Date -> MetricID wasn't available.
return errMissingMetricIDsForDate
}
return nil
}
func (is *indexSearch) containsTimeRange(tr TimeRange) (bool, error) {
ts := &is.ts
kb := &is.kb
// Verify whether the maximum date in `ts` covers tr.MinTimestamp.
minDate := uint64(tr.MinTimestamp) / msecPerDay
kb.B = marshalCommonPrefix(kb.B[:0], nsPrefixDateToMetricID)
kb.B = encoding.MarshalUint64(kb.B, minDate)
ts.Seek(kb.B)
if !ts.NextItem() {
if err := ts.Error(); err != nil {
return false, fmt.Errorf("error when searching for minDate=%d, prefix %q: %s", minDate, kb.B, err)
}
return false, nil
}
if !bytes.HasPrefix(ts.Item, kb.B[:1]) {
// minDate exceeds max date from ts.
return false, nil
}
return true, nil
}
func (is *indexSearch) updateMetricIDsForCommonPrefix(metricIDs map[uint64]struct{}, commonPrefix []byte, maxMetrics int) error {
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ts := &is.ts
ts.Seek(commonPrefix)
for len(metricIDs) < maxMetrics && ts.NextItem() {
k := ts.Item
if !bytes.HasPrefix(k, commonPrefix) {
break
}
// Extract MetricID from k (the last 8 bytes).
k = k[len(commonPrefix):]
if len(k) < 8 {
return fmt.Errorf("cannot extract metricID from k; want at least %d bytes; got %d bytes", 8, len(k))
}
v := k[len(k)-8:]
metricID := encoding.UnmarshalUint64(v)
metricIDs[metricID] = struct{}{}
}
if err := ts.Error(); err != nil {
return fmt.Errorf("error when searching for metricIDs by commonPrefix %q: %s", commonPrefix, err)
}
return nil
}
// The maximum number of index scan loops per already found metric.
// Bigger number of loops is slower than updateMetricIDsByMetricNameMatch
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// over the found metrics.
const maxIndexScanLoopsPerMetric = 32
func (is *indexSearch) intersectMetricIDsWithTagFilter(tf *tagFilter, filter map[uint64]struct{}) (map[uint64]struct{}, error) {
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if len(filter) == 0 {
return nil, nil
}
metricIDs := filter
if !tf.isNegative {
metricIDs = make(map[uint64]struct{}, len(filter))
}
if len(tf.orSuffixes) > 0 {
// Fast path for orSuffixes - seek for rows for each value from orSuffixes.
if err := is.updateMetricIDsForOrSuffixesWithFilter(tf, metricIDs, filter); err != nil {
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return nil, err
}
return metricIDs, nil
}
// Slow path - scan for all the rows with the given prefix.
maxLoops := len(filter) * maxIndexScanLoopsPerMetric
loops := 0
ts := &is.ts
ts.Seek(tf.prefix)
for ts.NextItem() {
loops++
if loops > maxLoops {
return nil, errFallbackToMetricNameMatch
}
k := ts.Item
if !bytes.HasPrefix(k, tf.prefix) {
break
}
// Extract MetricID from k (the last 8 bytes).
k = k[len(tf.prefix):]
if len(k) < 8 {
return nil, fmt.Errorf("cannot extract metricID from k; want at least %d bytes; got %d bytes", 8, len(k))
}
v := k[len(k)-8:]
k = k[:len(k)-8]
ok, err := tf.matchSuffix(k)
if err != nil {
return nil, fmt.Errorf("error when matching %s: %s", tf, err)
}
if !ok {
continue
}
metricID := encoding.UnmarshalUint64(v)
if tf.isNegative {
// filter must be equal to metricIDs
delete(metricIDs, metricID)
continue
}
if _, ok := filter[metricID]; ok {
metricIDs[metricID] = struct{}{}
}
}
if err := ts.Error(); err != nil {
return nil, fmt.Errorf("error searching %q: %s", tf.prefix, err)
}
return metricIDs, nil
}
var kbPool bytesutil.ByteBufferPool
// Returns local unique MetricID.
func getUniqueUint64() uint64 {
return atomic.AddUint64(&uniqueUint64, 1)
}
// This number mustn't go backwards on restarts, otherwise metricID
// collisions are possible. So don't change time on the server
// between VictoriaMetrics restarts.
var uniqueUint64 = uint64(time.Now().UnixNano())
func marshalCommonPrefix(dst []byte, nsPrefix byte) []byte {
dst = append(dst, nsPrefix)
return dst
}
func getSortedMetricIDs(m map[uint64]struct{}) []uint64 {
a := make([]uint64, len(m))
i := 0
for metricID := range m {
a[i] = metricID
i++
}
sort.Slice(a, func(i, j int) bool { return a[i] < a[j] })
return a
}