mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
synced 2024-11-21 14:44:00 +00:00
5506cff76e
This should prevent from stats overwriting when the previous indexdb is queried.
3652 lines
109 KiB
Go
3652 lines
109 KiB
Go
package storage
|
|
|
|
import (
|
|
"bytes"
|
|
"container/heap"
|
|
"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/fasttime"
|
|
"github.com/VictoriaMetrics/VictoriaMetrics/lib/fs"
|
|
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
|
|
"github.com/VictoriaMetrics/VictoriaMetrics/lib/memory"
|
|
"github.com/VictoriaMetrics/VictoriaMetrics/lib/mergeset"
|
|
"github.com/VictoriaMetrics/VictoriaMetrics/lib/uint64set"
|
|
"github.com/VictoriaMetrics/VictoriaMetrics/lib/workingsetcache"
|
|
"github.com/VictoriaMetrics/fastcache"
|
|
xxhash "github.com/cespare/xxhash/v2"
|
|
)
|
|
|
|
const (
|
|
// Prefix for MetricName->TSID entries.
|
|
nsPrefixMetricNameToTSID = 0
|
|
|
|
// Prefix for Tag->MetricID entries.
|
|
nsPrefixTagToMetricIDs = 1
|
|
|
|
// Prefix for MetricID->TSID entries.
|
|
nsPrefixMetricIDToTSID = 2
|
|
|
|
// Prefix for MetricID->MetricName entries.
|
|
nsPrefixMetricIDToMetricName = 3
|
|
|
|
// Prefix for deleted MetricID entries.
|
|
nsPrefixDeletedMetricID = 4
|
|
|
|
// Prefix for Date->MetricID entries.
|
|
nsPrefixDateToMetricID = 5
|
|
|
|
// Prefix for (Date,Tag)->MetricID entries.
|
|
nsPrefixDateTagToMetricIDs = 6
|
|
)
|
|
|
|
// indexDB represents an index db.
|
|
type indexDB 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 .
|
|
|
|
refCount uint64
|
|
|
|
// The counter for newly created time series. It can be used for determining time series churn rate.
|
|
newTimeseriesCreated uint64
|
|
|
|
// The number of missing MetricID -> TSID entries.
|
|
// High rate for this value means corrupted indexDB.
|
|
missingTSIDsForMetricID uint64
|
|
|
|
// The number of searches for metric ids by days.
|
|
dateMetricIDsSearchCalls uint64
|
|
|
|
// The number of successful searches for metric ids by days.
|
|
dateMetricIDsSearchHits uint64
|
|
|
|
// The number of calls for date range searches.
|
|
dateRangeSearchCalls uint64
|
|
|
|
// The number of hits for date range searches.
|
|
dateRangeSearchHits uint64
|
|
|
|
// missingMetricNamesForMetricID is a counter of missing MetricID -> MetricName entries.
|
|
// High rate may mean corrupted indexDB due to unclean shutdown.
|
|
// The db must be automatically recovered after that.
|
|
missingMetricNamesForMetricID uint64
|
|
|
|
mustDrop uint64
|
|
|
|
name string
|
|
tb *mergeset.Table
|
|
|
|
extDB *indexDB
|
|
extDBLock sync.Mutex
|
|
|
|
// Cache for fast TagFilters -> TSIDs lookup.
|
|
tagCache *workingsetcache.Cache
|
|
|
|
// The parent storage.
|
|
s *Storage
|
|
|
|
// Cache for useless TagFilters entries, which have no tag filters
|
|
// matching low number of metrics.
|
|
uselessTagFiltersCache *workingsetcache.Cache
|
|
|
|
// Cache for (date, tagFilter) -> loopsCount, which is used for reducing
|
|
// the amount of work when matching a set of filters.
|
|
loopsPerDateTagFilterCache *workingsetcache.Cache
|
|
|
|
indexSearchPool sync.Pool
|
|
}
|
|
|
|
// openIndexDB opens index db from the given path with the given caches.
|
|
func openIndexDB(path string, s *Storage) (*indexDB, error) {
|
|
if s == nil {
|
|
logger.Panicf("BUG: Storage must be nin-nil")
|
|
}
|
|
|
|
tb, err := mergeset.OpenTable(path, invalidateTagCache, mergeTagToMetricIDsRows)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("cannot open indexDB %q: %w", 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: workingsetcache.New(mem/32, time.Hour),
|
|
s: s,
|
|
uselessTagFiltersCache: workingsetcache.New(mem/128, time.Hour),
|
|
loopsPerDateTagFilterCache: workingsetcache.New(mem/128, time.Hour),
|
|
}
|
|
return db, nil
|
|
}
|
|
|
|
const noDeadline = 1<<64 - 1
|
|
|
|
// IndexDBMetrics contains essential metrics for indexDB.
|
|
type IndexDBMetrics struct {
|
|
TagCacheSize uint64
|
|
TagCacheSizeBytes uint64
|
|
TagCacheRequests uint64
|
|
TagCacheMisses uint64
|
|
|
|
UselessTagFiltersCacheSize uint64
|
|
UselessTagFiltersCacheSizeBytes uint64
|
|
UselessTagFiltersCacheRequests uint64
|
|
UselessTagFiltersCacheMisses uint64
|
|
|
|
DeletedMetricsCount uint64
|
|
|
|
IndexDBRefCount uint64
|
|
|
|
NewTimeseriesCreated uint64
|
|
MissingTSIDsForMetricID uint64
|
|
|
|
RecentHourMetricIDsSearchCalls uint64
|
|
RecentHourMetricIDsSearchHits uint64
|
|
DateMetricIDsSearchCalls uint64
|
|
DateMetricIDsSearchHits uint64
|
|
|
|
DateRangeSearchCalls uint64
|
|
DateRangeSearchHits uint64
|
|
|
|
MissingMetricNamesForMetricID uint64
|
|
|
|
IndexBlocksWithMetricIDsProcessed uint64
|
|
IndexBlocksWithMetricIDsIncorrectOrder uint64
|
|
|
|
MinTimestampForCompositeIndex uint64
|
|
CompositeFilterSuccessConversions uint64
|
|
CompositeFilterMissingConversions uint64
|
|
|
|
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()
|
|
db.tagCache.UpdateStats(&cs)
|
|
m.TagCacheSize += cs.EntriesCount
|
|
m.TagCacheSizeBytes += cs.BytesSize
|
|
m.TagCacheRequests += cs.GetBigCalls
|
|
m.TagCacheMisses += cs.Misses
|
|
|
|
cs.Reset()
|
|
db.uselessTagFiltersCache.UpdateStats(&cs)
|
|
m.UselessTagFiltersCacheSize += cs.EntriesCount
|
|
m.UselessTagFiltersCacheSizeBytes += cs.BytesSize
|
|
m.UselessTagFiltersCacheRequests += cs.GetCalls
|
|
m.UselessTagFiltersCacheMisses += cs.Misses
|
|
|
|
m.DeletedMetricsCount += uint64(db.s.getDeletedMetricIDs().Len())
|
|
|
|
m.IndexDBRefCount += atomic.LoadUint64(&db.refCount)
|
|
m.NewTimeseriesCreated += atomic.LoadUint64(&db.newTimeseriesCreated)
|
|
m.MissingTSIDsForMetricID += atomic.LoadUint64(&db.missingTSIDsForMetricID)
|
|
m.DateMetricIDsSearchCalls += atomic.LoadUint64(&db.dateMetricIDsSearchCalls)
|
|
m.DateMetricIDsSearchHits += atomic.LoadUint64(&db.dateMetricIDsSearchHits)
|
|
|
|
m.DateRangeSearchCalls += atomic.LoadUint64(&db.dateRangeSearchCalls)
|
|
m.DateRangeSearchHits += atomic.LoadUint64(&db.dateRangeSearchHits)
|
|
|
|
m.MissingMetricNamesForMetricID += atomic.LoadUint64(&db.missingMetricNamesForMetricID)
|
|
|
|
m.IndexBlocksWithMetricIDsProcessed = atomic.LoadUint64(&indexBlocksWithMetricIDsProcessed)
|
|
m.IndexBlocksWithMetricIDsIncorrectOrder = atomic.LoadUint64(&indexBlocksWithMetricIDsIncorrectOrder)
|
|
|
|
m.MinTimestampForCompositeIndex = uint64(db.s.minTimestampForCompositeIndex)
|
|
m.CompositeFilterSuccessConversions = atomic.LoadUint64(&compositeFilterSuccessConversions)
|
|
m.CompositeFilterMissingConversions = atomic.LoadUint64(&compositeFilterMissingConversions)
|
|
|
|
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) {
|
|
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 {
|
|
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.Stop()
|
|
db.uselessTagFiltersCache.Stop()
|
|
db.loopsPerDateTagFilterCache.Stop()
|
|
|
|
db.tagCache = nil
|
|
db.s = nil
|
|
db.uselessTagFiltersCache = nil
|
|
db.loopsPerDateTagFilterCache = nil
|
|
|
|
if atomic.LoadUint64(&db.mustDrop) == 0 {
|
|
return
|
|
}
|
|
|
|
logger.Infof("dropping indexDB %q", tbPath)
|
|
fs.MustRemoveAll(tbPath)
|
|
logger.Infof("indexDB %q has been dropped", tbPath)
|
|
}
|
|
|
|
func (db *indexDB) getFromTagCache(key []byte) ([]TSID, bool) {
|
|
compressedBuf := tagBufPool.Get()
|
|
defer tagBufPool.Put(compressedBuf)
|
|
compressedBuf.B = db.tagCache.GetBig(compressedBuf.B[:0], key)
|
|
if len(compressedBuf.B) == 0 {
|
|
return nil, false
|
|
}
|
|
buf := tagBufPool.Get()
|
|
defer tagBufPool.Put(buf)
|
|
var err error
|
|
buf.B, err = encoding.DecompressZSTD(buf.B[:0], compressedBuf.B)
|
|
if err != nil {
|
|
logger.Panicf("FATAL: cannot decompress tsids from tagCache: %s", err)
|
|
}
|
|
tsids, err := unmarshalTSIDs(nil, buf.B)
|
|
if err != nil {
|
|
logger.Panicf("FATAL: cannot unmarshal tsids from tagCache: %s", err)
|
|
}
|
|
return tsids, true
|
|
}
|
|
|
|
var tagBufPool bytesutil.ByteBufferPool
|
|
|
|
func (db *indexDB) putToTagCache(tsids []TSID, key []byte) {
|
|
buf := tagBufPool.Get()
|
|
buf.B = marshalTSIDs(buf.B[:0], tsids)
|
|
compressedBuf := tagBufPool.Get()
|
|
compressedBuf.B = encoding.CompressZSTDLevel(compressedBuf.B[:0], buf.B, 1)
|
|
tagBufPool.Put(buf)
|
|
db.tagCache.SetBig(key, compressedBuf.B)
|
|
tagBufPool.Put(compressedBuf)
|
|
}
|
|
|
|
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.s.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.s.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.s.metricNameCache.Get(dst, key[:])
|
|
}
|
|
|
|
func (db *indexDB) putMetricNameToCache(metricID uint64, metricName []byte) {
|
|
key := (*[unsafe.Sizeof(metricID)]byte)(unsafe.Pointer(&metricID))
|
|
db.s.metricNameCache.Set(key[:], metricName)
|
|
}
|
|
|
|
func marshalTagFiltersKey(dst []byte, tfss []*TagFilters, tr TimeRange, versioned bool) []byte {
|
|
prefix := ^uint64(0)
|
|
if versioned {
|
|
prefix = atomic.LoadUint64(&tagFiltersKeyGen)
|
|
}
|
|
// Round start and end times to per-day granularity according to per-day inverted index.
|
|
startDate := uint64(tr.MinTimestamp) / msecPerDay
|
|
endDate := uint64(tr.MaxTimestamp) / msecPerDay
|
|
dst = encoding.MarshalUint64(dst, prefix)
|
|
dst = encoding.MarshalUint64(dst, startDate)
|
|
dst = encoding.MarshalUint64(dst, endDate)
|
|
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 invalidateTagCache() {
|
|
// This function must be fast, since it is called each
|
|
// time new timeseries is added.
|
|
atomic.AddUint64(&tagFiltersKeyGen, 1)
|
|
}
|
|
|
|
var tagFiltersKeyGen uint64
|
|
|
|
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: %w", 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
|
|
}
|
|
|
|
// 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(noDeadline)
|
|
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: %w", 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
|
|
mp tagToMetricIDsRowParser
|
|
|
|
// deadline in unix timestamp seconds for the given search.
|
|
deadline uint64
|
|
|
|
// 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: %w", 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: %w", metricName, err)
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func (db *indexDB) getIndexSearch(deadline uint64) *indexSearch {
|
|
v := db.indexSearchPool.Get()
|
|
if v == nil {
|
|
v = &indexSearch{
|
|
db: db,
|
|
}
|
|
}
|
|
is := v.(*indexSearch)
|
|
is.ts.Init(db.tb)
|
|
is.deadline = deadline
|
|
return is
|
|
}
|
|
|
|
func (db *indexDB) putIndexSearch(is *indexSearch) {
|
|
is.ts.MustClose()
|
|
is.kb.Reset()
|
|
is.mp.Reset()
|
|
is.deadline = 0
|
|
|
|
// 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: %w", metricName, err)
|
|
}
|
|
|
|
if err := db.generateTSID(dst, metricName, mn); err != nil {
|
|
return fmt.Errorf("cannot generate TSID: %w", err)
|
|
}
|
|
if err := db.createIndexes(dst, mn); err != nil {
|
|
return fmt.Errorf("cannot create indexes: %w", err)
|
|
}
|
|
|
|
// There is no need in invalidating tag cache, since it is invalidated
|
|
// on db.tb flush via invalidateTagCache flushCallback passed to OpenTable.
|
|
|
|
atomic.AddUint64(&db.newTimeseriesCreated, 1)
|
|
if logNewSeries {
|
|
logger.Infof("new series created: %s", mn.String())
|
|
}
|
|
return nil
|
|
}
|
|
|
|
// SetLogNewSeries updates new series logging.
|
|
//
|
|
// This function must be called before any calling any storage functions.
|
|
func SetLogNewSeries(ok bool) {
|
|
logNewSeries = ok
|
|
}
|
|
|
|
var logNewSeries = false
|
|
|
|
func (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: %w", err)
|
|
}
|
|
}
|
|
|
|
// The TSID wasn'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 = generateUniqueMetricID()
|
|
return nil
|
|
}
|
|
|
|
func (db *indexDB) createIndexes(tsid *TSID, mn *MetricName) error {
|
|
// The order of index items is important.
|
|
// It guarantees index consistency.
|
|
|
|
ii := getIndexItems()
|
|
defer putIndexItems(ii)
|
|
|
|
// Create MetricName -> TSID index.
|
|
ii.B = append(ii.B, nsPrefixMetricNameToTSID)
|
|
ii.B = mn.Marshal(ii.B)
|
|
ii.B = append(ii.B, kvSeparatorChar)
|
|
ii.B = tsid.Marshal(ii.B)
|
|
ii.Next()
|
|
|
|
// Create MetricID -> MetricName index.
|
|
ii.B = marshalCommonPrefix(ii.B, nsPrefixMetricIDToMetricName)
|
|
ii.B = encoding.MarshalUint64(ii.B, tsid.MetricID)
|
|
ii.B = mn.Marshal(ii.B)
|
|
ii.Next()
|
|
|
|
// Create MetricID -> TSID index.
|
|
ii.B = marshalCommonPrefix(ii.B, nsPrefixMetricIDToTSID)
|
|
ii.B = encoding.MarshalUint64(ii.B, tsid.MetricID)
|
|
ii.B = tsid.Marshal(ii.B)
|
|
ii.Next()
|
|
|
|
prefix := kbPool.Get()
|
|
prefix.B = marshalCommonPrefix(prefix.B[:0], nsPrefixTagToMetricIDs)
|
|
ii.registerTagIndexes(prefix.B, mn, tsid.MetricID)
|
|
kbPool.Put(prefix)
|
|
|
|
return db.tb.AddItems(ii.Items)
|
|
}
|
|
|
|
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
|
|
|
|
// SearchTagKeysOnTimeRange returns all the tag keys on the given tr.
|
|
func (db *indexDB) SearchTagKeysOnTimeRange(tr TimeRange, maxTagKeys int, deadline uint64) ([]string, error) {
|
|
tks := make(map[string]struct{})
|
|
is := db.getIndexSearch(deadline)
|
|
err := is.searchTagKeysOnTimeRange(tks, tr, maxTagKeys)
|
|
db.putIndexSearch(is)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
ok := db.doExtDB(func(extDB *indexDB) {
|
|
is := extDB.getIndexSearch(deadline)
|
|
err = is.searchTagKeysOnTimeRange(tks, tr, maxTagKeys)
|
|
extDB.putIndexSearch(is)
|
|
})
|
|
if ok && err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
keys := make([]string, 0, len(tks))
|
|
for key := range tks {
|
|
// Do not skip empty keys, since they are converted to __name__
|
|
keys = append(keys, key)
|
|
}
|
|
// Do not sort keys, since they must be sorted by vmselect.
|
|
return keys, nil
|
|
}
|
|
|
|
func (is *indexSearch) searchTagKeysOnTimeRange(tks map[string]struct{}, tr TimeRange, maxTagKeys int) error {
|
|
minDate := uint64(tr.MinTimestamp) / msecPerDay
|
|
maxDate := uint64(tr.MaxTimestamp) / msecPerDay
|
|
if minDate > maxDate || maxDate-minDate > maxDaysForPerDaySearch {
|
|
return is.searchTagKeys(tks, maxTagKeys)
|
|
}
|
|
var mu sync.Mutex
|
|
var wg sync.WaitGroup
|
|
var errGlobal error
|
|
for date := minDate; date <= maxDate; date++ {
|
|
wg.Add(1)
|
|
go func(date uint64) {
|
|
defer wg.Done()
|
|
tksLocal := make(map[string]struct{})
|
|
isLocal := is.db.getIndexSearch(is.deadline)
|
|
err := isLocal.searchTagKeysOnDate(tksLocal, date, maxTagKeys)
|
|
is.db.putIndexSearch(isLocal)
|
|
mu.Lock()
|
|
defer mu.Unlock()
|
|
if errGlobal != nil {
|
|
return
|
|
}
|
|
if err != nil {
|
|
errGlobal = err
|
|
return
|
|
}
|
|
if len(tks) >= maxTagKeys {
|
|
return
|
|
}
|
|
for k := range tksLocal {
|
|
tks[k] = struct{}{}
|
|
}
|
|
}(date)
|
|
}
|
|
wg.Wait()
|
|
return errGlobal
|
|
}
|
|
|
|
func (is *indexSearch) searchTagKeysOnDate(tks map[string]struct{}, date uint64, maxTagKeys int) error {
|
|
ts := &is.ts
|
|
kb := &is.kb
|
|
mp := &is.mp
|
|
mp.Reset()
|
|
dmis := is.db.s.getDeletedMetricIDs()
|
|
loopsPaceLimiter := 0
|
|
kb.B = is.marshalCommonPrefix(kb.B[:0], nsPrefixDateTagToMetricIDs)
|
|
kb.B = encoding.MarshalUint64(kb.B, date)
|
|
prefix := kb.B
|
|
ts.Seek(prefix)
|
|
for len(tks) < maxTagKeys && ts.NextItem() {
|
|
if loopsPaceLimiter&paceLimiterFastIterationsMask == 0 {
|
|
if err := checkSearchDeadlineAndPace(is.deadline); err != nil {
|
|
return err
|
|
}
|
|
}
|
|
loopsPaceLimiter++
|
|
item := ts.Item
|
|
if !bytes.HasPrefix(item, prefix) {
|
|
break
|
|
}
|
|
if err := mp.Init(item, nsPrefixDateTagToMetricIDs); err != nil {
|
|
return err
|
|
}
|
|
if mp.IsDeletedTag(dmis) {
|
|
continue
|
|
}
|
|
key := mp.Tag.Key
|
|
if isArtificialTagKey(key) {
|
|
// Skip artificially created tag key.
|
|
continue
|
|
}
|
|
// Store tag key.
|
|
tks[string(key)] = struct{}{}
|
|
|
|
// Search for the next tag key.
|
|
// The last char in kb.B must be tagSeparatorChar.
|
|
// Just increment it in order to jump to the next tag key.
|
|
kb.B = is.marshalCommonPrefix(kb.B[:0], nsPrefixDateTagToMetricIDs)
|
|
kb.B = encoding.MarshalUint64(kb.B, date)
|
|
kb.B = marshalTagValue(kb.B, key)
|
|
kb.B[len(kb.B)-1]++
|
|
ts.Seek(kb.B)
|
|
}
|
|
if err := ts.Error(); err != nil {
|
|
return fmt.Errorf("error during search for prefix %q: %w", prefix, err)
|
|
}
|
|
return nil
|
|
}
|
|
|
|
// SearchTagKeys returns all the tag keys.
|
|
func (db *indexDB) SearchTagKeys(maxTagKeys int, deadline uint64) ([]string, error) {
|
|
tks := make(map[string]struct{})
|
|
|
|
is := db.getIndexSearch(deadline)
|
|
err := is.searchTagKeys(tks, maxTagKeys)
|
|
db.putIndexSearch(is)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
ok := db.doExtDB(func(extDB *indexDB) {
|
|
is := extDB.getIndexSearch(deadline)
|
|
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 {
|
|
// Do not skip empty keys, since they are converted to __name__
|
|
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
|
|
mp := &is.mp
|
|
mp.Reset()
|
|
dmis := is.db.s.getDeletedMetricIDs()
|
|
loopsPaceLimiter := 0
|
|
kb.B = is.marshalCommonPrefix(kb.B[:0], nsPrefixTagToMetricIDs)
|
|
prefix := kb.B
|
|
ts.Seek(prefix)
|
|
for len(tks) < maxTagKeys && ts.NextItem() {
|
|
if loopsPaceLimiter&paceLimiterFastIterationsMask == 0 {
|
|
if err := checkSearchDeadlineAndPace(is.deadline); err != nil {
|
|
return err
|
|
}
|
|
}
|
|
loopsPaceLimiter++
|
|
item := ts.Item
|
|
if !bytes.HasPrefix(item, prefix) {
|
|
break
|
|
}
|
|
if err := mp.Init(item, nsPrefixTagToMetricIDs); err != nil {
|
|
return err
|
|
}
|
|
if mp.IsDeletedTag(dmis) {
|
|
continue
|
|
}
|
|
key := mp.Tag.Key
|
|
if isArtificialTagKey(key) {
|
|
// Skip artificailly created tag keys.
|
|
continue
|
|
}
|
|
// Store tag key.
|
|
tks[string(key)] = struct{}{}
|
|
|
|
// Search for the next tag key.
|
|
// The last char in kb.B must be tagSeparatorChar.
|
|
// Just increment it in order to jump to the next tag key.
|
|
kb.B = is.marshalCommonPrefix(kb.B[:0], nsPrefixTagToMetricIDs)
|
|
kb.B = marshalTagValue(kb.B, key)
|
|
kb.B[len(kb.B)-1]++
|
|
ts.Seek(kb.B)
|
|
}
|
|
if err := ts.Error(); err != nil {
|
|
return fmt.Errorf("error during search for prefix %q: %w", prefix, err)
|
|
}
|
|
return nil
|
|
}
|
|
|
|
// SearchTagValuesOnTimeRange returns all the tag values for the given tagKey on tr.
|
|
func (db *indexDB) SearchTagValuesOnTimeRange(tagKey []byte, tr TimeRange, maxTagValues int, deadline uint64) ([]string, error) {
|
|
tvs := make(map[string]struct{})
|
|
is := db.getIndexSearch(deadline)
|
|
err := is.searchTagValuesOnTimeRange(tvs, tagKey, tr, maxTagValues)
|
|
db.putIndexSearch(is)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
ok := db.doExtDB(func(extDB *indexDB) {
|
|
is := extDB.getIndexSearch(deadline)
|
|
err = is.searchTagValuesOnTimeRange(tvs, tagKey, tr, maxTagValues)
|
|
extDB.putIndexSearch(is)
|
|
})
|
|
if ok && err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
tagValues := make([]string, 0, len(tvs))
|
|
for tv := range tvs {
|
|
if len(tv) == 0 {
|
|
// Skip empty values, since they have no any meaning.
|
|
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/600
|
|
continue
|
|
}
|
|
tagValues = append(tagValues, tv)
|
|
}
|
|
// Do not sort tagValues, since they must be sorted by vmselect.
|
|
return tagValues, nil
|
|
}
|
|
|
|
func (is *indexSearch) searchTagValuesOnTimeRange(tvs map[string]struct{}, tagKey []byte, tr TimeRange, maxTagValues int) error {
|
|
minDate := uint64(tr.MinTimestamp) / msecPerDay
|
|
maxDate := uint64(tr.MaxTimestamp) / msecPerDay
|
|
if minDate > maxDate || maxDate-minDate > maxDaysForPerDaySearch {
|
|
return is.searchTagValues(tvs, tagKey, maxTagValues)
|
|
}
|
|
var mu sync.Mutex
|
|
var wg sync.WaitGroup
|
|
var errGlobal error
|
|
for date := minDate; date <= maxDate; date++ {
|
|
wg.Add(1)
|
|
go func(date uint64) {
|
|
defer wg.Done()
|
|
tvsLocal := make(map[string]struct{})
|
|
isLocal := is.db.getIndexSearch(is.deadline)
|
|
err := isLocal.searchTagValuesOnDate(tvsLocal, tagKey, date, maxTagValues)
|
|
is.db.putIndexSearch(isLocal)
|
|
mu.Lock()
|
|
defer mu.Unlock()
|
|
if errGlobal != nil {
|
|
return
|
|
}
|
|
if err != nil {
|
|
errGlobal = err
|
|
return
|
|
}
|
|
if len(tvs) >= maxTagValues {
|
|
return
|
|
}
|
|
for v := range tvsLocal {
|
|
tvs[v] = struct{}{}
|
|
}
|
|
}(date)
|
|
}
|
|
wg.Wait()
|
|
return errGlobal
|
|
}
|
|
|
|
func (is *indexSearch) searchTagValuesOnDate(tvs map[string]struct{}, tagKey []byte, date uint64, maxTagValues int) error {
|
|
ts := &is.ts
|
|
kb := &is.kb
|
|
mp := &is.mp
|
|
mp.Reset()
|
|
dmis := is.db.s.getDeletedMetricIDs()
|
|
loopsPaceLimiter := 0
|
|
kb.B = is.marshalCommonPrefix(kb.B[:0], nsPrefixDateTagToMetricIDs)
|
|
kb.B = encoding.MarshalUint64(kb.B, date)
|
|
kb.B = marshalTagValue(kb.B, tagKey)
|
|
prefix := kb.B
|
|
ts.Seek(prefix)
|
|
for len(tvs) < maxTagValues && ts.NextItem() {
|
|
if loopsPaceLimiter&paceLimiterFastIterationsMask == 0 {
|
|
if err := checkSearchDeadlineAndPace(is.deadline); err != nil {
|
|
return err
|
|
}
|
|
}
|
|
loopsPaceLimiter++
|
|
item := ts.Item
|
|
if !bytes.HasPrefix(item, prefix) {
|
|
break
|
|
}
|
|
if err := mp.Init(item, nsPrefixDateTagToMetricIDs); err != nil {
|
|
return err
|
|
}
|
|
if mp.IsDeletedTag(dmis) {
|
|
continue
|
|
}
|
|
|
|
// Store tag value
|
|
tvs[string(mp.Tag.Value)] = struct{}{}
|
|
|
|
if mp.MetricIDsLen() < maxMetricIDsPerRow/2 {
|
|
// There is no need in searching for the next tag value,
|
|
// since it is likely it is located in the next row,
|
|
// because the current row contains incomplete metricIDs set.
|
|
continue
|
|
}
|
|
// Search for the next tag value.
|
|
// The last char in kb.B must be tagSeparatorChar.
|
|
// Just increment it in order to jump to the next tag value.
|
|
kb.B = is.marshalCommonPrefix(kb.B[:0], nsPrefixDateTagToMetricIDs)
|
|
kb.B = encoding.MarshalUint64(kb.B, date)
|
|
kb.B = marshalTagValue(kb.B, mp.Tag.Key)
|
|
kb.B = marshalTagValue(kb.B, mp.Tag.Value)
|
|
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: %w", prefix, err)
|
|
}
|
|
return nil
|
|
}
|
|
|
|
// SearchTagValues returns all the tag values for the given tagKey
|
|
func (db *indexDB) SearchTagValues(tagKey []byte, maxTagValues int, deadline uint64) ([]string, error) {
|
|
tvs := make(map[string]struct{})
|
|
is := db.getIndexSearch(deadline)
|
|
err := is.searchTagValues(tvs, tagKey, maxTagValues)
|
|
db.putIndexSearch(is)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
ok := db.doExtDB(func(extDB *indexDB) {
|
|
is := extDB.getIndexSearch(deadline)
|
|
err = is.searchTagValues(tvs, tagKey, maxTagValues)
|
|
extDB.putIndexSearch(is)
|
|
})
|
|
if ok && err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
tagValues := make([]string, 0, len(tvs))
|
|
for tv := range tvs {
|
|
if len(tv) == 0 {
|
|
// Skip empty values, since they have no any meaning.
|
|
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/600
|
|
continue
|
|
}
|
|
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{}, tagKey []byte, maxTagValues int) error {
|
|
ts := &is.ts
|
|
kb := &is.kb
|
|
mp := &is.mp
|
|
mp.Reset()
|
|
dmis := is.db.s.getDeletedMetricIDs()
|
|
loopsPaceLimiter := 0
|
|
kb.B = is.marshalCommonPrefix(kb.B[:0], nsPrefixTagToMetricIDs)
|
|
kb.B = marshalTagValue(kb.B, tagKey)
|
|
prefix := kb.B
|
|
ts.Seek(prefix)
|
|
for len(tvs) < maxTagValues && ts.NextItem() {
|
|
if loopsPaceLimiter&paceLimiterFastIterationsMask == 0 {
|
|
if err := checkSearchDeadlineAndPace(is.deadline); err != nil {
|
|
return err
|
|
}
|
|
}
|
|
loopsPaceLimiter++
|
|
item := ts.Item
|
|
if !bytes.HasPrefix(item, prefix) {
|
|
break
|
|
}
|
|
if err := mp.Init(item, nsPrefixTagToMetricIDs); err != nil {
|
|
return err
|
|
}
|
|
if mp.IsDeletedTag(dmis) {
|
|
continue
|
|
}
|
|
|
|
// Store tag value
|
|
tvs[string(mp.Tag.Value)] = struct{}{}
|
|
|
|
if mp.MetricIDsLen() < maxMetricIDsPerRow/2 {
|
|
// There is no need in searching for the next tag value,
|
|
// since it is likely it is located in the next row,
|
|
// because the current row contains incomplete metricIDs set.
|
|
continue
|
|
}
|
|
// Search for the next tag value.
|
|
// The last char in kb.B must be tagSeparatorChar.
|
|
// Just increment it in order to jump to the next tag value.
|
|
kb.B = is.marshalCommonPrefix(kb.B[:0], nsPrefixTagToMetricIDs)
|
|
kb.B = marshalTagValue(kb.B, mp.Tag.Key)
|
|
kb.B = marshalTagValue(kb.B, mp.Tag.Value)
|
|
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: %w", prefix, err)
|
|
}
|
|
return nil
|
|
}
|
|
|
|
// SearchTagValueSuffixes returns all the tag value suffixes for the given tagKey and tagValuePrefix on the given tr.
|
|
//
|
|
// This allows implementing https://graphite-api.readthedocs.io/en/latest/api.html#metrics-find or similar APIs.
|
|
//
|
|
// If it returns maxTagValueSuffixes suffixes, then it is likely more than maxTagValueSuffixes suffixes is found.
|
|
func (db *indexDB) SearchTagValueSuffixes(tr TimeRange, tagKey, tagValuePrefix []byte, delimiter byte, maxTagValueSuffixes int, deadline uint64) ([]string, error) {
|
|
// TODO: cache results?
|
|
|
|
tvss := make(map[string]struct{})
|
|
is := db.getIndexSearch(deadline)
|
|
err := is.searchTagValueSuffixesForTimeRange(tvss, tr, tagKey, tagValuePrefix, delimiter, maxTagValueSuffixes)
|
|
db.putIndexSearch(is)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if len(tvss) < maxTagValueSuffixes {
|
|
ok := db.doExtDB(func(extDB *indexDB) {
|
|
is := extDB.getIndexSearch(deadline)
|
|
err = is.searchTagValueSuffixesForTimeRange(tvss, tr, tagKey, tagValuePrefix, delimiter, maxTagValueSuffixes)
|
|
extDB.putIndexSearch(is)
|
|
})
|
|
if ok && err != nil {
|
|
return nil, err
|
|
}
|
|
}
|
|
|
|
suffixes := make([]string, 0, len(tvss))
|
|
for suffix := range tvss {
|
|
// Do not skip empty suffixes, since they may represent leaf tag values.
|
|
suffixes = append(suffixes, suffix)
|
|
}
|
|
if len(suffixes) > maxTagValueSuffixes {
|
|
suffixes = suffixes[:maxTagValueSuffixes]
|
|
}
|
|
// Do not sort suffixes, since they must be sorted by vmselect.
|
|
return suffixes, nil
|
|
}
|
|
|
|
func (is *indexSearch) searchTagValueSuffixesForTimeRange(tvss map[string]struct{}, tr TimeRange, tagKey, tagValuePrefix []byte, delimiter byte, maxTagValueSuffixes int) error {
|
|
minDate := uint64(tr.MinTimestamp) / msecPerDay
|
|
maxDate := uint64(tr.MaxTimestamp) / msecPerDay
|
|
if minDate > maxDate || maxDate-minDate > maxDaysForPerDaySearch {
|
|
return is.searchTagValueSuffixesAll(tvss, tagKey, tagValuePrefix, delimiter, maxTagValueSuffixes)
|
|
}
|
|
// Query over multiple days in parallel.
|
|
var wg sync.WaitGroup
|
|
var errGlobal error
|
|
var mu sync.Mutex // protects tvss + errGlobal from concurrent access below.
|
|
for minDate <= maxDate {
|
|
wg.Add(1)
|
|
go func(date uint64) {
|
|
defer wg.Done()
|
|
tvssLocal := make(map[string]struct{})
|
|
isLocal := is.db.getIndexSearch(is.deadline)
|
|
err := isLocal.searchTagValueSuffixesForDate(tvssLocal, date, tagKey, tagValuePrefix, delimiter, maxTagValueSuffixes)
|
|
is.db.putIndexSearch(isLocal)
|
|
mu.Lock()
|
|
defer mu.Unlock()
|
|
if errGlobal != nil {
|
|
return
|
|
}
|
|
if err != nil {
|
|
errGlobal = err
|
|
return
|
|
}
|
|
if len(tvss) > maxTagValueSuffixes {
|
|
return
|
|
}
|
|
for k := range tvssLocal {
|
|
tvss[k] = struct{}{}
|
|
}
|
|
}(minDate)
|
|
minDate++
|
|
}
|
|
wg.Wait()
|
|
return errGlobal
|
|
}
|
|
|
|
func (is *indexSearch) searchTagValueSuffixesAll(tvss map[string]struct{}, tagKey, tagValuePrefix []byte, delimiter byte, maxTagValueSuffixes int) error {
|
|
kb := &is.kb
|
|
nsPrefix := byte(nsPrefixTagToMetricIDs)
|
|
kb.B = is.marshalCommonPrefix(kb.B[:0], nsPrefix)
|
|
kb.B = marshalTagValue(kb.B, tagKey)
|
|
kb.B = marshalTagValue(kb.B, tagValuePrefix)
|
|
kb.B = kb.B[:len(kb.B)-1] // remove tagSeparatorChar from the end of kb.B
|
|
prefix := append([]byte(nil), kb.B...)
|
|
return is.searchTagValueSuffixesForPrefix(tvss, nsPrefix, prefix, len(tagValuePrefix), delimiter, maxTagValueSuffixes)
|
|
}
|
|
|
|
func (is *indexSearch) searchTagValueSuffixesForDate(tvss map[string]struct{}, date uint64, tagKey, tagValuePrefix []byte, delimiter byte, maxTagValueSuffixes int) error {
|
|
nsPrefix := byte(nsPrefixDateTagToMetricIDs)
|
|
kb := &is.kb
|
|
kb.B = is.marshalCommonPrefix(kb.B[:0], nsPrefix)
|
|
kb.B = encoding.MarshalUint64(kb.B, date)
|
|
kb.B = marshalTagValue(kb.B, tagKey)
|
|
kb.B = marshalTagValue(kb.B, tagValuePrefix)
|
|
kb.B = kb.B[:len(kb.B)-1] // remove tagSeparatorChar from the end of kb.B
|
|
prefix := append([]byte(nil), kb.B...)
|
|
return is.searchTagValueSuffixesForPrefix(tvss, nsPrefix, prefix, len(tagValuePrefix), delimiter, maxTagValueSuffixes)
|
|
}
|
|
|
|
func (is *indexSearch) searchTagValueSuffixesForPrefix(tvss map[string]struct{}, nsPrefix byte, prefix []byte, tagValuePrefixLen int, delimiter byte, maxTagValueSuffixes int) error {
|
|
kb := &is.kb
|
|
ts := &is.ts
|
|
mp := &is.mp
|
|
mp.Reset()
|
|
dmis := is.db.s.getDeletedMetricIDs()
|
|
loopsPaceLimiter := 0
|
|
ts.Seek(prefix)
|
|
for len(tvss) < maxTagValueSuffixes && ts.NextItem() {
|
|
if loopsPaceLimiter&paceLimiterFastIterationsMask == 0 {
|
|
if err := checkSearchDeadlineAndPace(is.deadline); err != nil {
|
|
return err
|
|
}
|
|
}
|
|
loopsPaceLimiter++
|
|
item := ts.Item
|
|
if !bytes.HasPrefix(item, prefix) {
|
|
break
|
|
}
|
|
if err := mp.Init(item, nsPrefix); err != nil {
|
|
return err
|
|
}
|
|
if mp.IsDeletedTag(dmis) {
|
|
continue
|
|
}
|
|
tagValue := mp.Tag.Value
|
|
suffix := tagValue[tagValuePrefixLen:]
|
|
n := bytes.IndexByte(suffix, delimiter)
|
|
if n < 0 {
|
|
// Found leaf tag value that doesn't have delimiters after the given tagValuePrefix.
|
|
tvss[string(suffix)] = struct{}{}
|
|
continue
|
|
}
|
|
// Found non-leaf tag value. Extract suffix that end with the given delimiter.
|
|
suffix = suffix[:n+1]
|
|
tvss[string(suffix)] = struct{}{}
|
|
if suffix[len(suffix)-1] == 255 {
|
|
continue
|
|
}
|
|
// Search for the next suffix
|
|
suffix[len(suffix)-1]++
|
|
kb.B = append(kb.B[:0], prefix...)
|
|
kb.B = marshalTagValue(kb.B, suffix)
|
|
kb.B = kb.B[:len(kb.B)-1] // remove tagSeparatorChar
|
|
ts.Seek(kb.B)
|
|
}
|
|
if err := ts.Error(); err != nil {
|
|
return fmt.Errorf("error when searching for tag value sufixes for prefix %q: %w", 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(deadline uint64) (uint64, error) {
|
|
is := db.getIndexSearch(deadline)
|
|
n, err := is.getSeriesCount()
|
|
db.putIndexSearch(is)
|
|
if err != nil {
|
|
return 0, err
|
|
}
|
|
|
|
var nExt uint64
|
|
ok := db.doExtDB(func(extDB *indexDB) {
|
|
is := extDB.getIndexSearch(deadline)
|
|
nExt, err = is.getSeriesCount()
|
|
extDB.putIndexSearch(is)
|
|
})
|
|
if ok && err != nil {
|
|
return 0, fmt.Errorf("error when searching in extDB: %w", err)
|
|
}
|
|
return n + nExt, nil
|
|
}
|
|
|
|
func (is *indexSearch) getSeriesCount() (uint64, error) {
|
|
ts := &is.ts
|
|
kb := &is.kb
|
|
mp := &is.mp
|
|
loopsPaceLimiter := 0
|
|
var metricIDsLen uint64
|
|
// Extract the number of series from ((__name__=value): metricIDs) rows
|
|
kb.B = is.marshalCommonPrefix(kb.B[:0], nsPrefixTagToMetricIDs)
|
|
kb.B = marshalTagValue(kb.B, nil)
|
|
ts.Seek(kb.B)
|
|
for ts.NextItem() {
|
|
if loopsPaceLimiter&paceLimiterFastIterationsMask == 0 {
|
|
if err := checkSearchDeadlineAndPace(is.deadline); err != nil {
|
|
return 0, err
|
|
}
|
|
}
|
|
loopsPaceLimiter++
|
|
item := ts.Item
|
|
if !bytes.HasPrefix(item, kb.B) {
|
|
break
|
|
}
|
|
tail := item[len(kb.B):]
|
|
n := bytes.IndexByte(tail, tagSeparatorChar)
|
|
if n < 0 {
|
|
return 0, fmt.Errorf("invalid tag->metricIDs line %q: cannot find tagSeparatorChar %d", item, tagSeparatorChar)
|
|
}
|
|
tail = tail[n+1:]
|
|
if err := mp.InitOnlyTail(item, tail); err != nil {
|
|
return 0, err
|
|
}
|
|
// Take into account deleted timeseries too.
|
|
// It is OK if series can be counted multiple times in rare cases -
|
|
// the returned number is an estimation.
|
|
metricIDsLen += uint64(mp.MetricIDsLen())
|
|
}
|
|
if err := ts.Error(); err != nil {
|
|
return 0, fmt.Errorf("error when counting unique timeseries: %w", err)
|
|
}
|
|
return metricIDsLen, nil
|
|
}
|
|
|
|
// GetTSDBStatusWithFiltersForDate returns topN entries for tsdb status for the given tfss and the given date.
|
|
func (db *indexDB) GetTSDBStatusWithFiltersForDate(tfss []*TagFilters, date uint64, topN int, deadline uint64) (*TSDBStatus, error) {
|
|
is := db.getIndexSearch(deadline)
|
|
status, err := is.getTSDBStatusWithFiltersForDate(tfss, date, topN)
|
|
db.putIndexSearch(is)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if status.hasEntries() {
|
|
return status, nil
|
|
}
|
|
ok := db.doExtDB(func(extDB *indexDB) {
|
|
is := extDB.getIndexSearch(deadline)
|
|
status, err = is.getTSDBStatusWithFiltersForDate(tfss, date, topN)
|
|
extDB.putIndexSearch(is)
|
|
})
|
|
if ok && err != nil {
|
|
return nil, fmt.Errorf("error when obtaining TSDB status from extDB: %w", err)
|
|
}
|
|
return status, nil
|
|
}
|
|
|
|
// getTSDBStatusWithFiltersForDate returns topN entries for tsdb status for the given tfss and the given date.
|
|
func (is *indexSearch) getTSDBStatusWithFiltersForDate(tfss []*TagFilters, date uint64, topN int) (*TSDBStatus, error) {
|
|
var filter *uint64set.Set
|
|
if len(tfss) > 0 {
|
|
tr := TimeRange{
|
|
MinTimestamp: int64(date) * msecPerDay,
|
|
MaxTimestamp: int64(date+1) * msecPerDay,
|
|
}
|
|
metricIDs, err := is.searchMetricIDsInternal(tfss, tr, 2e9)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if metricIDs.Len() == 0 {
|
|
// Nothing found.
|
|
return &TSDBStatus{}, nil
|
|
}
|
|
filter = metricIDs
|
|
}
|
|
|
|
ts := &is.ts
|
|
kb := &is.kb
|
|
mp := &is.mp
|
|
thLabelValueCountByLabelName := newTopHeap(topN)
|
|
thSeriesCountByLabelValuePair := newTopHeap(topN)
|
|
thSeriesCountByMetricName := newTopHeap(topN)
|
|
var tmp, labelName, labelNameValue []byte
|
|
var labelValueCountByLabelName, seriesCountByLabelValuePair uint64
|
|
nameEqualBytes := []byte("__name__=")
|
|
|
|
loopsPaceLimiter := 0
|
|
kb.B = is.marshalCommonPrefix(kb.B[:0], nsPrefixDateTagToMetricIDs)
|
|
kb.B = encoding.MarshalUint64(kb.B, date)
|
|
prefix := kb.B
|
|
ts.Seek(prefix)
|
|
for ts.NextItem() {
|
|
if loopsPaceLimiter&paceLimiterFastIterationsMask == 0 {
|
|
if err := checkSearchDeadlineAndPace(is.deadline); err != nil {
|
|
return nil, err
|
|
}
|
|
}
|
|
loopsPaceLimiter++
|
|
item := ts.Item
|
|
if !bytes.HasPrefix(item, prefix) {
|
|
break
|
|
}
|
|
matchingSeriesCount := 0
|
|
if filter != nil {
|
|
if err := mp.Init(item, nsPrefixDateTagToMetricIDs); err != nil {
|
|
return nil, err
|
|
}
|
|
mp.ParseMetricIDs()
|
|
for _, metricID := range mp.MetricIDs {
|
|
if filter.Has(metricID) {
|
|
matchingSeriesCount++
|
|
}
|
|
}
|
|
if matchingSeriesCount == 0 {
|
|
// Skip rows without matching metricIDs.
|
|
continue
|
|
}
|
|
}
|
|
tail := item[len(prefix):]
|
|
var err error
|
|
tail, tmp, err = unmarshalTagValue(tmp[:0], tail)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("cannot unmarshal tag key from line %q: %w", item, err)
|
|
}
|
|
if isArtificialTagKey(tmp) {
|
|
// Skip artificially created tag keys.
|
|
continue
|
|
}
|
|
if len(tmp) == 0 {
|
|
tmp = append(tmp, "__name__"...)
|
|
}
|
|
if !bytes.Equal(tmp, labelName) {
|
|
thLabelValueCountByLabelName.pushIfNonEmpty(labelName, labelValueCountByLabelName)
|
|
labelValueCountByLabelName = 0
|
|
labelName = append(labelName[:0], tmp...)
|
|
}
|
|
tmp = append(tmp, '=')
|
|
tail, tmp, err = unmarshalTagValue(tmp, tail)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("cannot unmarshal tag value from line %q: %w", item, err)
|
|
}
|
|
if !bytes.Equal(tmp, labelNameValue) {
|
|
thSeriesCountByLabelValuePair.pushIfNonEmpty(labelNameValue, seriesCountByLabelValuePair)
|
|
if bytes.HasPrefix(labelNameValue, nameEqualBytes) {
|
|
thSeriesCountByMetricName.pushIfNonEmpty(labelNameValue[len(nameEqualBytes):], seriesCountByLabelValuePair)
|
|
}
|
|
seriesCountByLabelValuePair = 0
|
|
labelValueCountByLabelName++
|
|
labelNameValue = append(labelNameValue[:0], tmp...)
|
|
}
|
|
if filter == nil {
|
|
if err := mp.InitOnlyTail(item, tail); err != nil {
|
|
return nil, err
|
|
}
|
|
matchingSeriesCount = mp.MetricIDsLen()
|
|
}
|
|
// Take into account deleted timeseries too.
|
|
// It is OK if series can be counted multiple times in rare cases -
|
|
// the returned number is an estimation.
|
|
seriesCountByLabelValuePair += uint64(matchingSeriesCount)
|
|
}
|
|
if err := ts.Error(); err != nil {
|
|
return nil, fmt.Errorf("error when counting time series by metric names: %w", err)
|
|
}
|
|
thLabelValueCountByLabelName.pushIfNonEmpty(labelName, labelValueCountByLabelName)
|
|
thSeriesCountByLabelValuePair.pushIfNonEmpty(labelNameValue, seriesCountByLabelValuePair)
|
|
if bytes.HasPrefix(labelNameValue, nameEqualBytes) {
|
|
thSeriesCountByMetricName.pushIfNonEmpty(labelNameValue[len(nameEqualBytes):], seriesCountByLabelValuePair)
|
|
}
|
|
status := &TSDBStatus{
|
|
SeriesCountByMetricName: thSeriesCountByMetricName.getSortedResult(),
|
|
LabelValueCountByLabelName: thLabelValueCountByLabelName.getSortedResult(),
|
|
SeriesCountByLabelValuePair: thSeriesCountByLabelValuePair.getSortedResult(),
|
|
}
|
|
return status, nil
|
|
}
|
|
|
|
// TSDBStatus contains TSDB status data for /api/v1/status/tsdb.
|
|
//
|
|
// See https://prometheus.io/docs/prometheus/latest/querying/api/#tsdb-stats
|
|
type TSDBStatus struct {
|
|
SeriesCountByMetricName []TopHeapEntry
|
|
LabelValueCountByLabelName []TopHeapEntry
|
|
SeriesCountByLabelValuePair []TopHeapEntry
|
|
}
|
|
|
|
func (status *TSDBStatus) hasEntries() bool {
|
|
return len(status.SeriesCountByLabelValuePair) > 0
|
|
}
|
|
|
|
// topHeap maintains a heap of topHeapEntries with the maximum TopHeapEntry.n values.
|
|
type topHeap struct {
|
|
topN int
|
|
a []TopHeapEntry
|
|
}
|
|
|
|
// newTopHeap returns topHeap for topN items.
|
|
func newTopHeap(topN int) *topHeap {
|
|
return &topHeap{
|
|
topN: topN,
|
|
}
|
|
}
|
|
|
|
// TopHeapEntry represents an entry from `top heap` used in stats.
|
|
type TopHeapEntry struct {
|
|
Name string
|
|
Count uint64
|
|
}
|
|
|
|
func (th *topHeap) pushIfNonEmpty(name []byte, count uint64) {
|
|
if count == 0 {
|
|
return
|
|
}
|
|
if len(th.a) < th.topN {
|
|
th.a = append(th.a, TopHeapEntry{
|
|
Name: string(name),
|
|
Count: count,
|
|
})
|
|
heap.Fix(th, len(th.a)-1)
|
|
return
|
|
}
|
|
if count <= th.a[0].Count {
|
|
return
|
|
}
|
|
th.a[0] = TopHeapEntry{
|
|
Name: string(name),
|
|
Count: count,
|
|
}
|
|
heap.Fix(th, 0)
|
|
}
|
|
|
|
func (th *topHeap) getSortedResult() []TopHeapEntry {
|
|
result := append([]TopHeapEntry{}, th.a...)
|
|
sort.Slice(result, func(i, j int) bool {
|
|
a, b := result[i], result[j]
|
|
if a.Count != b.Count {
|
|
return a.Count > b.Count
|
|
}
|
|
return a.Name < b.Name
|
|
})
|
|
return result
|
|
}
|
|
|
|
// heap.Interface implementation for topHeap.
|
|
|
|
func (th *topHeap) Len() int {
|
|
return len(th.a)
|
|
}
|
|
|
|
func (th *topHeap) Less(i, j int) bool {
|
|
a := th.a
|
|
return a[i].Count < a[j].Count
|
|
}
|
|
|
|
func (th *topHeap) Swap(i, j int) {
|
|
a := th.a
|
|
a[j], a[i] = a[i], a[j]
|
|
}
|
|
|
|
func (th *topHeap) Push(x interface{}) {
|
|
panic(fmt.Errorf("BUG: Push shouldn't be called"))
|
|
}
|
|
|
|
func (th *topHeap) Pop() interface{} {
|
|
panic(fmt.Errorf("BUG: Pop shouldn't be called"))
|
|
}
|
|
|
|
// searchMetricNameWithCache appends metric name for the given metricID to dst
|
|
// and returns the result.
|
|
func (db *indexDB) searchMetricNameWithCache(dst []byte, metricID uint64) ([]byte, error) {
|
|
metricName := db.getMetricNameFromCache(dst, metricID)
|
|
if len(metricName) > len(dst) {
|
|
return metricName, nil
|
|
}
|
|
|
|
is := db.getIndexSearch(noDeadline)
|
|
var err error
|
|
dst, err = is.searchMetricName(dst, metricID)
|
|
db.putIndexSearch(is)
|
|
if err == nil {
|
|
// There is no need in verifying whether the given metricID is deleted,
|
|
// since the filtering must be performed before calling this func.
|
|
db.putMetricNameToCache(metricID, dst)
|
|
return dst, nil
|
|
}
|
|
if err != io.EOF {
|
|
return dst, err
|
|
}
|
|
|
|
// Try searching in the external indexDB.
|
|
if db.doExtDB(func(extDB *indexDB) {
|
|
is := extDB.getIndexSearch(noDeadline)
|
|
dst, err = is.searchMetricName(dst, metricID)
|
|
extDB.putIndexSearch(is)
|
|
if err == nil {
|
|
// There is no need in verifying whether the given metricID is deleted,
|
|
// since the filtering must be performed before calling this func.
|
|
extDB.putMetricNameToCache(metricID, dst)
|
|
}
|
|
}) {
|
|
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.
|
|
atomic.AddUint64(&db.missingMetricNamesForMetricID, 1)
|
|
|
|
// Mark the metricID as deleted, so it will be created again when new data point
|
|
// for the given time series will arrive.
|
|
if err := db.deleteMetricIDs([]uint64{metricID}); err != nil {
|
|
return dst, fmt.Errorf("cannot delete metricID for missing metricID->metricName entry; metricID=%d; error: %w", metricID, err)
|
|
}
|
|
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.
|
|
tr := TimeRange{
|
|
MinTimestamp: 0,
|
|
MaxTimestamp: (1 << 63) - 1,
|
|
}
|
|
is := db.getIndexSearch(noDeadline)
|
|
metricIDs, err := is.searchMetricIDs(tfss, tr, 2e9)
|
|
db.putIndexSearch(is)
|
|
if err != nil {
|
|
return 0, err
|
|
}
|
|
if err := db.deleteMetricIDs(metricIDs); err != nil {
|
|
return 0, err
|
|
}
|
|
|
|
// Delete TSIDs in the extDB.
|
|
deletedCount := len(metricIDs)
|
|
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: %w", err)
|
|
}
|
|
}
|
|
return deletedCount, nil
|
|
}
|
|
|
|
func (db *indexDB) deleteMetricIDs(metricIDs []uint64) error {
|
|
if len(metricIDs) == 0 {
|
|
// Nothing to delete
|
|
return nil
|
|
}
|
|
|
|
// atomically add deleted metricIDs to an inmemory map.
|
|
dmis := &uint64set.Set{}
|
|
dmis.AddMulti(metricIDs)
|
|
db.s.updateDeletedMetricIDs(dmis)
|
|
|
|
// Reset TagFilters -> TSIDS cache, since it may contain deleted TSIDs.
|
|
invalidateTagCache()
|
|
|
|
// Reset MetricName -> TSID cache, since it may contain deleted TSIDs.
|
|
db.s.resetAndSaveTSIDCache()
|
|
|
|
// Do not reset uselessTagFiltersCache, since the found metricIDs
|
|
// on cache miss are filtered out later with deletedMetricIDs.
|
|
|
|
// Store the metricIDs as deleted.
|
|
// Make this after updating the deletedMetricIDs and resetting caches
|
|
// in order to exclude the possibility of the inconsistent state when the deleted metricIDs
|
|
// remain available in the tsidCache after unclean shutdown.
|
|
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1347
|
|
items := getIndexItems()
|
|
for _, metricID := range metricIDs {
|
|
items.B = append(items.B, nsPrefixDeletedMetricID)
|
|
items.B = encoding.MarshalUint64(items.B, metricID)
|
|
items.Next()
|
|
}
|
|
err := db.tb.AddItems(items.Items)
|
|
putIndexItems(items)
|
|
return err
|
|
}
|
|
|
|
func (db *indexDB) loadDeletedMetricIDs() (*uint64set.Set, error) {
|
|
is := db.getIndexSearch(noDeadline)
|
|
dmis, err := is.loadDeletedMetricIDs()
|
|
db.putIndexSearch(is)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
return dmis, nil
|
|
}
|
|
|
|
func (is *indexSearch) loadDeletedMetricIDs() (*uint64set.Set, error) {
|
|
dmis := &uint64set.Set{}
|
|
ts := &is.ts
|
|
kb := &is.kb
|
|
kb.B = append(kb.B[:0], nsPrefixDeletedMetricID)
|
|
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.Add(metricID)
|
|
}
|
|
if err := ts.Error(); err != nil {
|
|
return nil, err
|
|
}
|
|
return dmis, nil
|
|
}
|
|
|
|
// searchTSIDs returns sorted tsids matching the given tfss over the given tr.
|
|
func (db *indexDB) searchTSIDs(tfss []*TagFilters, tr TimeRange, maxMetrics int, deadline uint64) ([]TSID, error) {
|
|
if len(tfss) == 0 {
|
|
return nil, nil
|
|
}
|
|
if tr.MinTimestamp >= db.s.minTimestampForCompositeIndex {
|
|
tfss = convertToCompositeTagFilterss(tfss)
|
|
}
|
|
|
|
tfKeyBuf := tagFiltersKeyBufPool.Get()
|
|
defer tagFiltersKeyBufPool.Put(tfKeyBuf)
|
|
|
|
tfKeyBuf.B = marshalTagFiltersKey(tfKeyBuf.B[:0], tfss, tr, true)
|
|
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(deadline)
|
|
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, tr, false)
|
|
tsids, ok := extDB.getFromTagCache(tfKeyExtBuf.B)
|
|
if ok {
|
|
extTSIDs = tsids
|
|
return
|
|
}
|
|
is := extDB.getIndexSearch(deadline)
|
|
extTSIDs, err = is.searchTSIDs(tfss, tr, maxMetrics)
|
|
extDB.putIndexSearch(is)
|
|
|
|
sort.Slice(extTSIDs, func(i, j int) bool { return extTSIDs[i].Less(&extTSIDs[j]) })
|
|
extDB.putToTagCache(extTSIDs, tfKeyExtBuf.B)
|
|
}) {
|
|
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.s.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: %w", err)
|
|
}
|
|
if len(tail) > 0 {
|
|
return fmt.Errorf("unexpected non-empty tail left after unmarshaling TSID: %X", tail)
|
|
}
|
|
if dmis.Len() > 0 {
|
|
// Verify whether the dst is marked as deleted.
|
|
if dmis.Has(dst.MetricID) {
|
|
// The dst is deleted. Continue searching.
|
|
continue
|
|
}
|
|
}
|
|
// Found valid dst.
|
|
return nil
|
|
}
|
|
if err := ts.Error(); err != nil {
|
|
return fmt.Errorf("error when searching TSID by metricName; searchPrefix %q: %w", kb.B, err)
|
|
}
|
|
// Nothing found
|
|
return io.EOF
|
|
}
|
|
|
|
func (is *indexSearch) searchMetricNameWithCache(dst []byte, metricID uint64) ([]byte, error) {
|
|
metricName := is.db.getMetricNameFromCache(dst, metricID)
|
|
if len(metricName) > len(dst) {
|
|
return metricName, nil
|
|
}
|
|
var err error
|
|
dst, err = is.searchMetricName(dst, metricID)
|
|
if err == nil {
|
|
// 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
|
|
}
|
|
return dst, err
|
|
}
|
|
|
|
func (is *indexSearch) searchMetricName(dst []byte, metricID uint64) ([]byte, error) {
|
|
ts := &is.ts
|
|
kb := &is.kb
|
|
kb.B = is.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: %w", kb.B, err)
|
|
}
|
|
v := ts.Item[len(kb.B):]
|
|
dst = append(dst, v...)
|
|
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) 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 = is.marshalCommonPrefix(kb.B[:0], nsPrefixDateToMetricID)
|
|
prefix := kb.B
|
|
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: %w", minDate, kb.B, err)
|
|
}
|
|
return false, nil
|
|
}
|
|
if !bytes.HasPrefix(ts.Item, prefix) {
|
|
// minDate exceeds max date from ts.
|
|
return false, nil
|
|
}
|
|
return true, nil
|
|
}
|
|
|
|
func (is *indexSearch) searchTSIDs(tfss []*TagFilters, tr TimeRange, maxMetrics int) ([]TSID, error) {
|
|
ok, err := is.containsTimeRange(tr)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if !ok {
|
|
// Fast path - the index doesn't contain data for the given tr.
|
|
return nil, nil
|
|
}
|
|
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 loopsPaceLimiter, metricID := range metricIDs {
|
|
if loopsPaceLimiter&paceLimiterSlowIterationsMask == 0 {
|
|
if err := checkSearchDeadlineAndPace(is.deadline); err != nil {
|
|
return nil, err
|
|
}
|
|
}
|
|
// Try obtaining TSIDs from MetricID->TSID cache. 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: %w", 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 = is.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: %w", kb.B, err)
|
|
}
|
|
v := ts.Item[len(kb.B):]
|
|
tail, err := dst.Unmarshal(v)
|
|
if err != nil {
|
|
return fmt.Errorf("cannot unmarshal TSID=%X: %w", v, err)
|
|
}
|
|
if len(tail) > 0 {
|
|
return fmt.Errorf("unexpected non-zero tail left after unmarshaling TSID: %X", tail)
|
|
}
|
|
return nil
|
|
}
|
|
|
|
// updateMetricIDsByMetricNameMatch matches metricName values for the given srcMetricIDs against tfs
|
|
// and adds matching metrics to metricIDs.
|
|
func (is *indexSearch) updateMetricIDsByMetricNameMatch(metricIDs, srcMetricIDs *uint64set.Set, tfs []*tagFilter) error {
|
|
// sort srcMetricIDs in order to speed up Seek below.
|
|
sortedMetricIDs := srcMetricIDs.AppendTo(nil)
|
|
|
|
kb := &is.kb
|
|
kb.B = is.marshalCommonPrefix(kb.B[:0], nsPrefixTagToMetricIDs)
|
|
tfs = removeCompositeTagFilters(tfs, kb.B)
|
|
|
|
metricName := kbPool.Get()
|
|
defer kbPool.Put(metricName)
|
|
mn := GetMetricName()
|
|
defer PutMetricName(mn)
|
|
for loopsPaceLimiter, metricID := range sortedMetricIDs {
|
|
if loopsPaceLimiter&paceLimiterSlowIterationsMask == 0 {
|
|
if err := checkSearchDeadlineAndPace(is.deadline); err != nil {
|
|
return err
|
|
}
|
|
}
|
|
var err error
|
|
metricName.B, err = is.searchMetricNameWithCache(metricName.B[:0], metricID)
|
|
if err != nil {
|
|
if err == io.EOF {
|
|
// It is likely the metricID->metricName entry didn't propagate to inverted index yet.
|
|
// Skip this metricID for now.
|
|
continue
|
|
}
|
|
return fmt.Errorf("cannot find metricName by metricID %d: %w", metricID, err)
|
|
}
|
|
if err := mn.Unmarshal(metricName.B); err != nil {
|
|
return fmt.Errorf("cannot unmarshal metricName %q: %w", 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: %w", mn, err)
|
|
}
|
|
if !ok {
|
|
continue
|
|
}
|
|
metricIDs.Add(metricID)
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func (is *indexSearch) getTagFilterWithMinMetricIDsCountOptimized(tfs *TagFilters, tr TimeRange, maxMetrics int) (*tagFilter, *uint64set.Set, error) {
|
|
minTf, minMetricIDs, err := is.getTagFilterWithMinMetricIDsCountAdaptive(tfs, maxMetrics)
|
|
if err == nil {
|
|
return minTf, minMetricIDs, nil
|
|
}
|
|
if err != errTooManyMetrics {
|
|
return nil, nil, err
|
|
}
|
|
|
|
// All the tag filters match too many metrics.
|
|
|
|
// 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 later.
|
|
maxTimeRangeMetrics := 20 * maxMetrics
|
|
metricIDsForTimeRange, err := is.getMetricIDsForTimeRange(tr, maxTimeRangeMetrics+1)
|
|
if err == errMissingMetricIDsForDate {
|
|
return nil, nil, fmt.Errorf("cannot find tag filter matching less than %d time series; "+
|
|
"either increase -search.maxUniqueTimeseries or use more specific tag filters", maxMetrics)
|
|
}
|
|
if err != nil {
|
|
return nil, nil, err
|
|
}
|
|
if metricIDsForTimeRange.Len() <= maxTimeRangeMetrics {
|
|
return nil, metricIDsForTimeRange, nil
|
|
}
|
|
return nil, nil, fmt.Errorf("more than %d time series found on the time range %s; either increase -search.maxUniqueTimeseries or shrink the time range",
|
|
maxMetrics, tr.String())
|
|
}
|
|
|
|
func (is *indexSearch) getTagFilterWithMinMetricIDsCountAdaptive(tfs *TagFilters, maxMetrics int) (*tagFilter, *uint64set.Set, error) {
|
|
appendCacheKeyPrefix := func(dst []byte, prefix byte) []byte {
|
|
dst = append(dst, prefix)
|
|
dst = append(dst, is.db.name...)
|
|
dst = encoding.MarshalUint64(dst, uint64(maxMetrics))
|
|
return dst
|
|
}
|
|
kb := &is.kb
|
|
kb.B = appendCacheKeyPrefix(kb.B[:0], uselessMultiTagFiltersKeyPrefix)
|
|
kb.B = tfs.marshal(kb.B)
|
|
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 != errTooManyMetrics {
|
|
if err != nil {
|
|
return nil, nil, err
|
|
}
|
|
if minMetricIDs.Len() < 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 = appendCacheKeyPrefix(kb.B[:0], uselessMultiTagFiltersKeyPrefix)
|
|
kb.B = tfs.marshal(kb.B)
|
|
is.db.uselessTagFiltersCache.Set(kb.B, uselessTagFilterCacheValue)
|
|
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) getTagFilterWithMinMetricIDsCount(tfs *TagFilters, maxMetrics int) (*tagFilter, *uint64set.Set, error) {
|
|
appendCacheKeyPrefix := func(dst []byte, prefix byte) []byte {
|
|
dst = append(dst, prefix)
|
|
dst = append(dst, is.db.name...)
|
|
dst = encoding.MarshalUint64(dst, uint64(maxMetrics))
|
|
return dst
|
|
}
|
|
var minMetricIDs *uint64set.Set
|
|
var minTf *tagFilter
|
|
kb := &is.kb
|
|
uselessTagFilters := 0
|
|
for i := range tfs.tfs {
|
|
tf := &tfs.tfs[i]
|
|
if tf.isNegative {
|
|
// Skip negative filters.
|
|
continue
|
|
}
|
|
|
|
kb.B = appendCacheKeyPrefix(kb.B[:0], uselessSingleTagFilterKeyPrefix)
|
|
kb.B = tf.Marshal(kb.B)
|
|
if len(is.db.uselessTagFiltersCache.Get(nil, kb.B)) > 0 {
|
|
// Skip useless work below, since the tf matches at least maxMetrics metrics.
|
|
uselessTagFilters++
|
|
continue
|
|
}
|
|
|
|
metricIDs, _, err := is.getMetricIDsForTagFilter(tf, maxMetrics, int64Max)
|
|
if err != nil {
|
|
return nil, nil, fmt.Errorf("cannot find MetricIDs for tagFilter %s: %w", tf, err)
|
|
}
|
|
if metricIDs.Len() >= maxMetrics {
|
|
// The tf matches at least maxMetrics. Skip it
|
|
kb.B = appendCacheKeyPrefix(kb.B[:0], uselessSingleTagFilterKeyPrefix)
|
|
kb.B = tf.Marshal(kb.B)
|
|
is.db.uselessTagFiltersCache.Set(kb.B, uselessTagFilterCacheValue)
|
|
uselessTagFilters++
|
|
continue
|
|
}
|
|
|
|
minMetricIDs = metricIDs
|
|
minTf = tf
|
|
maxMetrics = minMetricIDs.Len()
|
|
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
|
|
}
|
|
if uselessTagFilters == len(tfs.tfs) {
|
|
// All the tag filters return at least maxMetrics entries.
|
|
return nil, nil, errTooManyMetrics
|
|
}
|
|
|
|
// There is no positive filter with small number of matching metrics.
|
|
// Create it, so it matches all the MetricIDs.
|
|
kb.B = appendCacheKeyPrefix(kb.B[:0], uselessNegativeTagFilterKeyPrefix)
|
|
kb.B = tfs.marshal(kb.B)
|
|
if len(is.db.uselessTagFiltersCache.Get(nil, kb.B)) > 0 {
|
|
return nil, nil, errTooManyMetrics
|
|
}
|
|
metricIDs := &uint64set.Set{}
|
|
if err := is.updateMetricIDsAll(metricIDs, maxMetrics); err != nil {
|
|
return nil, nil, err
|
|
}
|
|
if metricIDs.Len() >= maxMetrics {
|
|
kb.B = appendCacheKeyPrefix(kb.B[:0], uselessNegativeTagFilterKeyPrefix)
|
|
kb.B = tfs.marshal(kb.B)
|
|
is.db.uselessTagFiltersCache.Set(kb.B, uselessTagFilterCacheValue)
|
|
}
|
|
return nil, metricIDs, nil
|
|
}
|
|
|
|
func removeCompositeTagFilters(tfs []*tagFilter, prefix []byte) []*tagFilter {
|
|
if !hasCompositeTagFilters(tfs, prefix) {
|
|
return tfs
|
|
}
|
|
var tagKey []byte
|
|
var name []byte
|
|
tfsNew := make([]*tagFilter, 0, len(tfs)+1)
|
|
for _, tf := range tfs {
|
|
if !bytes.HasPrefix(tf.prefix, prefix) {
|
|
tfsNew = append(tfsNew, tf)
|
|
continue
|
|
}
|
|
suffix := tf.prefix[len(prefix):]
|
|
var err error
|
|
_, tagKey, err = unmarshalTagValue(tagKey[:0], suffix)
|
|
if err != nil {
|
|
logger.Panicf("BUG: cannot unmarshal tag key from suffix=%q: %s", suffix, err)
|
|
}
|
|
if len(tagKey) == 0 || tagKey[0] != compositeTagKeyPrefix {
|
|
tfsNew = append(tfsNew, tf)
|
|
continue
|
|
}
|
|
tagKey = tagKey[1:]
|
|
var nameLen uint64
|
|
tagKey, nameLen, err = encoding.UnmarshalVarUint64(tagKey)
|
|
if err != nil {
|
|
logger.Panicf("BUG: cannot unmarshal nameLen from tagKey %q: %s", tagKey, err)
|
|
}
|
|
if nameLen == 0 {
|
|
logger.Panicf("BUG: nameLen must be greater than 0")
|
|
}
|
|
if uint64(len(tagKey)) < nameLen {
|
|
logger.Panicf("BUG: expecting at %d bytes for name in tagKey=%q; got %d bytes", nameLen, tagKey, len(tagKey))
|
|
}
|
|
name = append(name[:0], tagKey[:nameLen]...)
|
|
tagKey = tagKey[nameLen:]
|
|
var tfNew tagFilter
|
|
if err := tfNew.Init(prefix, tagKey, tf.value, tf.isNegative, tf.isRegexp); err != nil {
|
|
logger.Panicf("BUG: cannot initialize {%s=%q} filter: %s", tagKey, tf.value, err)
|
|
}
|
|
tfsNew = append(tfsNew, &tfNew)
|
|
}
|
|
if len(name) > 0 {
|
|
var tfNew tagFilter
|
|
if err := tfNew.Init(prefix, nil, name, false, false); err != nil {
|
|
logger.Panicf("BUG: unexpected error when initializing {__name__=%q} filter: %s", name, err)
|
|
}
|
|
tfsNew = append(tfsNew, &tfNew)
|
|
}
|
|
return tfsNew
|
|
}
|
|
|
|
func hasCompositeTagFilters(tfs []*tagFilter, prefix []byte) bool {
|
|
var tagKey []byte
|
|
for _, tf := range tfs {
|
|
if !bytes.HasPrefix(tf.prefix, prefix) {
|
|
continue
|
|
}
|
|
suffix := tf.prefix[len(prefix):]
|
|
var err error
|
|
_, tagKey, err = unmarshalTagValue(tagKey[:0], suffix)
|
|
if err != nil {
|
|
logger.Panicf("BUG: cannot unmarshal tag key from suffix=%q: %s", suffix, err)
|
|
}
|
|
if len(tagKey) > 0 && tagKey[0] == compositeTagKeyPrefix {
|
|
return true
|
|
}
|
|
}
|
|
return false
|
|
}
|
|
|
|
func matchTagFilters(mn *MetricName, tfs []*tagFilter, kb *bytesutil.ByteBuffer) (bool, error) {
|
|
kb.B = marshalCommonPrefix(kb.B[:0], nsPrefixTagToMetricIDs)
|
|
for i, tf := range tfs {
|
|
if bytes.Equal(tf.key, graphiteReverseTagKey) {
|
|
// Skip artificial tag filter for Graphite-like metric names with dots,
|
|
// since mn doesn't contain the corresponding tag.
|
|
continue
|
|
}
|
|
if len(tf.key) == 0 || string(tf.key) == "__graphite__" {
|
|
// Match against mn.MetricGroup.
|
|
b := marshalTagValue(kb.B, nil)
|
|
b = marshalTagValue(b, mn.MetricGroup)
|
|
kb.B = b[:len(kb.B)]
|
|
ok, err := tf.match(b)
|
|
if err != nil {
|
|
return false, fmt.Errorf("cannot match MetricGroup %q with tagFilter %s: %w", mn.MetricGroup, tf, err)
|
|
}
|
|
if !ok {
|
|
// Move failed tf to start.
|
|
// This should reduce the amount of useless work for the next mn.
|
|
if i > 0 {
|
|
tfs[0], tfs[i] = tfs[i], tfs[0]
|
|
}
|
|
return false, nil
|
|
}
|
|
continue
|
|
}
|
|
// Search for matching tag name.
|
|
tagMatched := false
|
|
tagSeen := false
|
|
for _, tag := range mn.Tags {
|
|
if string(tag.Key) != string(tf.key) {
|
|
continue
|
|
}
|
|
|
|
// Found the matching tag name. Match the value.
|
|
tagSeen = true
|
|
b := tag.Marshal(kb.B)
|
|
kb.B = b[:len(kb.B)]
|
|
ok, err := tf.match(b)
|
|
if err != nil {
|
|
return false, fmt.Errorf("cannot match tag %q with tagFilter %s: %w", tag, tf, err)
|
|
}
|
|
if !ok {
|
|
// Move failed tf to start.
|
|
// This should reduce the amount of useless work for the next mn.
|
|
if i > 0 {
|
|
tfs[0], tfs[i] = tfs[i], tfs[0]
|
|
}
|
|
return false, nil
|
|
}
|
|
tagMatched = true
|
|
break
|
|
}
|
|
if !tagSeen && tf.isNegative && !tf.isEmptyMatch {
|
|
// tf contains negative filter for non-exsisting tag key
|
|
// and this filter doesn't match empty string, i.e. {non_existing_tag_key!="foobar"}
|
|
// Such filter matches anything.
|
|
//
|
|
// Note that the filter `{non_existing_tag_key!~"|foobar"}` shouldn't match anything,
|
|
// since it is expected that it matches non-empty `non_existing_tag_key`.
|
|
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/546 for details.
|
|
continue
|
|
}
|
|
if tagMatched {
|
|
// tf matches mn. Go to the next tf.
|
|
continue
|
|
}
|
|
// Matching tag name wasn't found.
|
|
// Move failed tf to start.
|
|
// This should reduce the amount of useless work for the next mn.
|
|
if i > 0 {
|
|
tfs[0], tfs[i] = tfs[i], tfs[0]
|
|
}
|
|
return false, nil
|
|
}
|
|
return true, nil
|
|
}
|
|
|
|
func (is *indexSearch) searchMetricIDs(tfss []*TagFilters, tr TimeRange, maxMetrics int) ([]uint64, error) {
|
|
metricIDs, err := is.searchMetricIDsInternal(tfss, tr, maxMetrics)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if metricIDs.Len() == 0 {
|
|
// Nothing found
|
|
return nil, nil
|
|
}
|
|
|
|
sortedMetricIDs := metricIDs.AppendTo(nil)
|
|
|
|
// Filter out deleted metricIDs.
|
|
dmis := is.db.s.getDeletedMetricIDs()
|
|
if dmis.Len() > 0 {
|
|
metricIDsFiltered := sortedMetricIDs[:0]
|
|
for _, metricID := range sortedMetricIDs {
|
|
if !dmis.Has(metricID) {
|
|
metricIDsFiltered = append(metricIDsFiltered, metricID)
|
|
}
|
|
}
|
|
sortedMetricIDs = metricIDsFiltered
|
|
}
|
|
|
|
return sortedMetricIDs, nil
|
|
}
|
|
|
|
func (is *indexSearch) searchMetricIDsInternal(tfss []*TagFilters, tr TimeRange, maxMetrics int) (*uint64set.Set, error) {
|
|
metricIDs := &uint64set.Set{}
|
|
for _, tfs := range tfss {
|
|
if len(tfs.tfs) == 0 {
|
|
// An empty filters must be equivalent to `{__name__!=""}`
|
|
tfs = NewTagFilters()
|
|
if err := tfs.Add(nil, nil, true, false); err != nil {
|
|
logger.Panicf(`BUG: cannot add {__name__!=""} filter: %s`, err)
|
|
}
|
|
}
|
|
if err := is.updateMetricIDsForTagFilters(metricIDs, tfs, tr, maxMetrics+1); err != nil {
|
|
return nil, err
|
|
}
|
|
if metricIDs.Len() > maxMetrics {
|
|
return nil, fmt.Errorf("the number of matching unique timeseries exceeds %d; either narrow down the search or increase -search.maxUniqueTimeseries", maxMetrics)
|
|
}
|
|
}
|
|
return metricIDs, nil
|
|
}
|
|
|
|
func (is *indexSearch) updateMetricIDsForTagFilters(metricIDs *uint64set.Set, tfs *TagFilters, tr TimeRange, maxMetrics int) error {
|
|
err := is.tryUpdatingMetricIDsForDateRange(metricIDs, tfs, tr, maxMetrics)
|
|
if err == nil {
|
|
// Fast path: found metricIDs by date range.
|
|
return nil
|
|
}
|
|
if !errors.Is(err, errFallbackToGlobalSearch) {
|
|
return err
|
|
}
|
|
|
|
// Slow path - try searching over the whole inverted index.
|
|
|
|
// Sort tag filters for faster ts.Seek below.
|
|
sort.Slice(tfs.tfs, func(i, j int) bool {
|
|
return tfs.tfs[i].Less(&tfs.tfs[j])
|
|
})
|
|
minTf, minMetricIDs, err := is.getTagFilterWithMinMetricIDsCountOptimized(tfs, tr, maxMetrics)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
// Find intersection of minTf with other tfs.
|
|
for i := range tfs.tfs {
|
|
tf := &tfs.tfs[i]
|
|
if tf == minTf {
|
|
continue
|
|
}
|
|
mIDs, err := is.intersectMetricIDsWithTagFilter(tf, minMetricIDs)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
minMetricIDs = mIDs
|
|
}
|
|
metricIDs.UnionMayOwn(minMetricIDs)
|
|
return nil
|
|
}
|
|
|
|
const (
|
|
uselessSingleTagFilterKeyPrefix = 0
|
|
uselessMultiTagFiltersKeyPrefix = 1
|
|
uselessNegativeTagFilterKeyPrefix = 2
|
|
)
|
|
|
|
var uselessTagFilterCacheValue = []byte("1")
|
|
|
|
func (is *indexSearch) getMetricIDsForTagFilter(tf *tagFilter, maxMetrics int, maxLoopsCount int64) (*uint64set.Set, int64, error) {
|
|
if tf.isNegative {
|
|
logger.Panicf("BUG: isNegative must be false")
|
|
}
|
|
metricIDs := &uint64set.Set{}
|
|
if len(tf.orSuffixes) > 0 {
|
|
// Fast path for orSuffixes - seek for rows for each value from orSuffixes.
|
|
loopsCount, err := is.updateMetricIDsForOrSuffixesNoFilter(tf, metricIDs, maxMetrics, maxLoopsCount)
|
|
if err != nil {
|
|
return nil, loopsCount, fmt.Errorf("error when searching for metricIDs for tagFilter in fast path: %w; tagFilter=%s", err, tf)
|
|
}
|
|
return metricIDs, loopsCount, nil
|
|
}
|
|
|
|
// Slow path - scan for all the rows with the given prefix.
|
|
// Pass nil filter to getMetricIDsForTagFilterSlow, since it works faster on production workloads
|
|
// than non-nil filter with many entries.
|
|
loopsCount, err := is.getMetricIDsForTagFilterSlow(tf, nil, metricIDs.Add, maxLoopsCount)
|
|
if err != nil {
|
|
return nil, loopsCount, fmt.Errorf("error when searching for metricIDs for tagFilter in slow path: %w; tagFilter=%s", err, tf)
|
|
}
|
|
return metricIDs, loopsCount, nil
|
|
}
|
|
|
|
var errTooManyLoops = fmt.Errorf("too many loops is needed for applying this filter")
|
|
|
|
func (is *indexSearch) getMetricIDsForTagFilterSlow(tf *tagFilter, filter *uint64set.Set, f func(metricID uint64), maxLoopsCount int64) (int64, error) {
|
|
if len(tf.orSuffixes) > 0 {
|
|
logger.Panicf("BUG: the getMetricIDsForTagFilterSlow must be called only for empty tf.orSuffixes; got %s", tf.orSuffixes)
|
|
}
|
|
|
|
// Scan all the rows with tf.prefix and call f on every tf match.
|
|
ts := &is.ts
|
|
kb := &is.kb
|
|
mp := &is.mp
|
|
mp.Reset()
|
|
var prevMatchingSuffix []byte
|
|
var prevMatch bool
|
|
var loopsCount int64
|
|
loopsPaceLimiter := 0
|
|
prefix := tf.prefix
|
|
ts.Seek(prefix)
|
|
for ts.NextItem() {
|
|
if loopsPaceLimiter&paceLimiterMediumIterationsMask == 0 {
|
|
if err := checkSearchDeadlineAndPace(is.deadline); err != nil {
|
|
return loopsCount, err
|
|
}
|
|
}
|
|
loopsPaceLimiter++
|
|
item := ts.Item
|
|
if !bytes.HasPrefix(item, prefix) {
|
|
return loopsCount, nil
|
|
}
|
|
tail := item[len(prefix):]
|
|
n := bytes.IndexByte(tail, tagSeparatorChar)
|
|
if n < 0 {
|
|
return loopsCount, fmt.Errorf("invalid tag->metricIDs line %q: cannot find tagSeparatorChar=%d", item, tagSeparatorChar)
|
|
}
|
|
suffix := tail[:n+1]
|
|
tail = tail[n+1:]
|
|
if err := mp.InitOnlyTail(item, tail); err != nil {
|
|
return loopsCount, err
|
|
}
|
|
mp.ParseMetricIDs()
|
|
loopsCount += int64(mp.MetricIDsLen())
|
|
if loopsCount > maxLoopsCount {
|
|
return loopsCount, errTooManyLoops
|
|
}
|
|
if prevMatch && string(suffix) == string(prevMatchingSuffix) {
|
|
// Fast path: the same tag value found.
|
|
// There is no need in checking it again with potentially
|
|
// slow tf.matchSuffix, which may call regexp.
|
|
for _, metricID := range mp.MetricIDs {
|
|
if filter != nil && !filter.Has(metricID) {
|
|
continue
|
|
}
|
|
f(metricID)
|
|
}
|
|
continue
|
|
}
|
|
if filter != nil && !mp.HasCommonMetricIDs(filter) {
|
|
// Faster path: there is no need in calling tf.matchSuffix,
|
|
// since the current row has no matching metricIDs.
|
|
continue
|
|
}
|
|
// Slow path: need tf.matchSuffix call.
|
|
ok, err := tf.matchSuffix(suffix)
|
|
// Assume that tf.matchSuffix call needs 10x more time than a single metric scan iteration.
|
|
loopsCount += 10 * int64(tf.matchCost)
|
|
if err != nil {
|
|
return loopsCount, fmt.Errorf("error when matching %s against suffix %q: %w", tf, suffix, err)
|
|
}
|
|
if !ok {
|
|
prevMatch = false
|
|
if mp.MetricIDsLen() < maxMetricIDsPerRow/2 {
|
|
// If the current row contains non-full metricIDs list,
|
|
// then it is likely the next row contains the next tag value.
|
|
// So skip seeking for the next tag value, since it will be slower than just ts.NextItem call.
|
|
continue
|
|
}
|
|
// Optimization: skip all the metricIDs for the given tag value
|
|
kb.B = append(kb.B[:0], item[:len(item)-len(tail)]...)
|
|
// The last char in kb.B must be tagSeparatorChar. Just increment it
|
|
// in order to jump to the next tag value.
|
|
if len(kb.B) == 0 || kb.B[len(kb.B)-1] != tagSeparatorChar || tagSeparatorChar >= 0xff {
|
|
return loopsCount, fmt.Errorf("data corruption: the last char in k=%X must be %X", kb.B, tagSeparatorChar)
|
|
}
|
|
kb.B[len(kb.B)-1]++
|
|
ts.Seek(kb.B)
|
|
// Assume that a seek cost is equivalent to 1000 ordinary loops.
|
|
loopsCount += 1000
|
|
continue
|
|
}
|
|
prevMatch = true
|
|
prevMatchingSuffix = append(prevMatchingSuffix[:0], suffix...)
|
|
for _, metricID := range mp.MetricIDs {
|
|
if filter != nil && !filter.Has(metricID) {
|
|
continue
|
|
}
|
|
f(metricID)
|
|
}
|
|
}
|
|
if err := ts.Error(); err != nil {
|
|
return loopsCount, fmt.Errorf("error when searching for tag filter prefix %q: %w", prefix, err)
|
|
}
|
|
return loopsCount, nil
|
|
}
|
|
|
|
func (is *indexSearch) updateMetricIDsForOrSuffixesNoFilter(tf *tagFilter, metricIDs *uint64set.Set, maxMetrics int, maxLoopsCount int64) (int64, error) {
|
|
if tf.isNegative {
|
|
logger.Panicf("BUG: isNegative must be false")
|
|
}
|
|
kb := kbPool.Get()
|
|
defer kbPool.Put(kb)
|
|
var loopsCount int64
|
|
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)
|
|
lc, err := is.updateMetricIDsForOrSuffixNoFilter(kb.B, metricIDs, maxMetrics, maxLoopsCount-loopsCount)
|
|
loopsCount += lc
|
|
if err != nil {
|
|
return loopsCount, err
|
|
}
|
|
if metricIDs.Len() >= maxMetrics {
|
|
return loopsCount, nil
|
|
}
|
|
}
|
|
return loopsCount, nil
|
|
}
|
|
|
|
func (is *indexSearch) updateMetricIDsForOrSuffixesWithFilter(tf *tagFilter, metricIDs, filter *uint64set.Set, maxLoopsCount int64) (int64, error) {
|
|
sortedFilter := filter.AppendTo(nil)
|
|
kb := kbPool.Get()
|
|
defer kbPool.Put(kb)
|
|
var loopsCount int64
|
|
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)
|
|
lc, err := is.updateMetricIDsForOrSuffixWithFilter(kb.B, metricIDs, sortedFilter, tf.isNegative, maxLoopsCount-loopsCount)
|
|
loopsCount += lc
|
|
if err != nil {
|
|
return loopsCount, err
|
|
}
|
|
}
|
|
return loopsCount, nil
|
|
}
|
|
|
|
func (is *indexSearch) updateMetricIDsForOrSuffixNoFilter(prefix []byte, metricIDs *uint64set.Set, maxMetrics int, maxLoopsCount int64) (int64, error) {
|
|
ts := &is.ts
|
|
mp := &is.mp
|
|
mp.Reset()
|
|
var loopsCount int64
|
|
loopsPaceLimiter := 0
|
|
ts.Seek(prefix)
|
|
for metricIDs.Len() < maxMetrics && ts.NextItem() {
|
|
if loopsPaceLimiter&paceLimiterFastIterationsMask == 0 {
|
|
if err := checkSearchDeadlineAndPace(is.deadline); err != nil {
|
|
return loopsCount, err
|
|
}
|
|
}
|
|
loopsPaceLimiter++
|
|
item := ts.Item
|
|
if !bytes.HasPrefix(item, prefix) {
|
|
return loopsCount, nil
|
|
}
|
|
if err := mp.InitOnlyTail(item, item[len(prefix):]); err != nil {
|
|
return loopsCount, err
|
|
}
|
|
loopsCount += int64(mp.MetricIDsLen())
|
|
if loopsCount > maxLoopsCount {
|
|
return loopsCount, errTooManyLoops
|
|
}
|
|
mp.ParseMetricIDs()
|
|
metricIDs.AddMulti(mp.MetricIDs)
|
|
}
|
|
if err := ts.Error(); err != nil {
|
|
return loopsCount, fmt.Errorf("error when searching for tag filter prefix %q: %w", prefix, err)
|
|
}
|
|
return loopsCount, nil
|
|
}
|
|
|
|
func (is *indexSearch) updateMetricIDsForOrSuffixWithFilter(prefix []byte, metricIDs *uint64set.Set, sortedFilter []uint64, isNegative bool, maxLoopsCount int64) (int64, error) {
|
|
if len(sortedFilter) == 0 {
|
|
return 0, nil
|
|
}
|
|
firstFilterMetricID := sortedFilter[0]
|
|
lastFilterMetricID := sortedFilter[len(sortedFilter)-1]
|
|
ts := &is.ts
|
|
mp := &is.mp
|
|
mp.Reset()
|
|
var loopsCount int64
|
|
loopsPaceLimiter := 0
|
|
ts.Seek(prefix)
|
|
var sf []uint64
|
|
var metricID uint64
|
|
for ts.NextItem() {
|
|
if loopsPaceLimiter&paceLimiterMediumIterationsMask == 0 {
|
|
if err := checkSearchDeadlineAndPace(is.deadline); err != nil {
|
|
return loopsCount, err
|
|
}
|
|
}
|
|
loopsPaceLimiter++
|
|
item := ts.Item
|
|
if !bytes.HasPrefix(item, prefix) {
|
|
return loopsCount, nil
|
|
}
|
|
if err := mp.InitOnlyTail(item, item[len(prefix):]); err != nil {
|
|
return loopsCount, err
|
|
}
|
|
loopsCount += int64(mp.MetricIDsLen())
|
|
if loopsCount > maxLoopsCount {
|
|
return loopsCount, errTooManyLoops
|
|
}
|
|
firstMetricID, lastMetricID := mp.FirstAndLastMetricIDs()
|
|
if lastMetricID < firstFilterMetricID {
|
|
// Skip the item, since it contains metricIDs lower
|
|
// than metricIDs in sortedFilter.
|
|
continue
|
|
}
|
|
if firstMetricID > lastFilterMetricID {
|
|
// Stop searching, since the current item and all the subsequent items
|
|
// contain metricIDs higher than metricIDs in sortedFilter.
|
|
return loopsCount, nil
|
|
}
|
|
sf = sortedFilter
|
|
mp.ParseMetricIDs()
|
|
matchingMetricIDs := mp.MetricIDs[:0]
|
|
for _, metricID = range mp.MetricIDs {
|
|
if len(sf) == 0 {
|
|
break
|
|
}
|
|
if metricID > sf[0] {
|
|
n := binarySearchUint64(sf, metricID)
|
|
sf = sf[n:]
|
|
if len(sf) == 0 {
|
|
break
|
|
}
|
|
}
|
|
if metricID < sf[0] {
|
|
continue
|
|
}
|
|
matchingMetricIDs = append(matchingMetricIDs, metricID)
|
|
sf = sf[1:]
|
|
}
|
|
if len(matchingMetricIDs) > 0 {
|
|
if isNegative {
|
|
for _, metricID := range matchingMetricIDs {
|
|
metricIDs.Del(metricID)
|
|
}
|
|
} else {
|
|
metricIDs.AddMulti(matchingMetricIDs)
|
|
}
|
|
}
|
|
}
|
|
if err := ts.Error(); err != nil {
|
|
return loopsCount, fmt.Errorf("error when searching for tag filter prefix %q: %w", prefix, err)
|
|
}
|
|
return loopsCount, nil
|
|
}
|
|
|
|
func binarySearchUint64(a []uint64, v uint64) uint {
|
|
// Copy-pasted sort.Search from https://golang.org/src/sort/search.go?s=2246:2286#L49
|
|
i, j := uint(0), uint(len(a))
|
|
for i < j {
|
|
h := (i + j) >> 1
|
|
if h < uint(len(a)) && a[h] < v {
|
|
i = h + 1
|
|
} else {
|
|
j = h
|
|
}
|
|
}
|
|
return i
|
|
}
|
|
|
|
var errFallbackToGlobalSearch = errors.New("fall back from per-day index search to global index search")
|
|
|
|
var errMissingMetricIDsForDate = errors.New("missing metricIDs for date")
|
|
|
|
func (is *indexSearch) getMetricIDsForTimeRange(tr TimeRange, maxMetrics int) (*uint64set.Set, error) {
|
|
atomic.AddUint64(&is.db.dateMetricIDsSearchCalls, 1)
|
|
minDate := uint64(tr.MinTimestamp) / msecPerDay
|
|
maxDate := uint64(tr.MaxTimestamp) / msecPerDay
|
|
if minDate > maxDate || maxDate-minDate > maxDaysForPerDaySearch {
|
|
// Too much dates must be covered. Give up.
|
|
return nil, errMissingMetricIDsForDate
|
|
}
|
|
if minDate == maxDate {
|
|
// Fast path - query on a single day.
|
|
metricIDs, err := is.getMetricIDsForDate(minDate, maxMetrics)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
atomic.AddUint64(&is.db.dateMetricIDsSearchHits, 1)
|
|
return metricIDs, nil
|
|
}
|
|
|
|
// Slower path - query over multiple days in parallel.
|
|
metricIDs := &uint64set.Set{}
|
|
var wg sync.WaitGroup
|
|
var errGlobal error
|
|
var mu sync.Mutex // protects metricIDs + errGlobal from concurrent access below.
|
|
for minDate <= maxDate {
|
|
wg.Add(1)
|
|
go func(date uint64) {
|
|
defer wg.Done()
|
|
isLocal := is.db.getIndexSearch(is.deadline)
|
|
m, err := isLocal.getMetricIDsForDate(date, maxMetrics)
|
|
is.db.putIndexSearch(isLocal)
|
|
mu.Lock()
|
|
defer mu.Unlock()
|
|
if errGlobal != nil {
|
|
return
|
|
}
|
|
if err != nil {
|
|
errGlobal = err
|
|
return
|
|
}
|
|
if metricIDs.Len() < maxMetrics {
|
|
metricIDs.UnionMayOwn(m)
|
|
}
|
|
}(minDate)
|
|
minDate++
|
|
}
|
|
wg.Wait()
|
|
if errGlobal != nil {
|
|
return nil, errGlobal
|
|
}
|
|
atomic.AddUint64(&is.db.dateMetricIDsSearchHits, 1)
|
|
return metricIDs, nil
|
|
}
|
|
|
|
const maxDaysForPerDaySearch = 40
|
|
|
|
func (is *indexSearch) tryUpdatingMetricIDsForDateRange(metricIDs *uint64set.Set, tfs *TagFilters, tr TimeRange, maxMetrics int) error {
|
|
atomic.AddUint64(&is.db.dateRangeSearchCalls, 1)
|
|
minDate := uint64(tr.MinTimestamp) / msecPerDay
|
|
maxDate := uint64(tr.MaxTimestamp) / msecPerDay
|
|
if minDate > maxDate || maxDate-minDate > maxDaysForPerDaySearch {
|
|
// Too much dates must be covered. Give up, since it may be slow.
|
|
return errFallbackToGlobalSearch
|
|
}
|
|
if minDate == maxDate {
|
|
// Fast path - query only a single date.
|
|
m, err := is.getMetricIDsForDateAndFilters(minDate, tfs, maxMetrics)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
metricIDs.UnionMayOwn(m)
|
|
atomic.AddUint64(&is.db.dateRangeSearchHits, 1)
|
|
return nil
|
|
}
|
|
|
|
// Slower path - search for metricIDs for each day in parallel.
|
|
var wg sync.WaitGroup
|
|
var errGlobal error
|
|
var mu sync.Mutex // protects metricIDs + errGlobal vars from concurrent access below
|
|
for minDate <= maxDate {
|
|
wg.Add(1)
|
|
go func(date uint64) {
|
|
defer wg.Done()
|
|
isLocal := is.db.getIndexSearch(is.deadline)
|
|
m, err := isLocal.getMetricIDsForDateAndFilters(date, tfs, maxMetrics)
|
|
is.db.putIndexSearch(isLocal)
|
|
mu.Lock()
|
|
defer mu.Unlock()
|
|
if errGlobal != nil {
|
|
return
|
|
}
|
|
if err != nil {
|
|
dateStr := time.Unix(int64(date*24*3600), 0)
|
|
errGlobal = fmt.Errorf("cannot search for metricIDs at %s: %w", dateStr, err)
|
|
return
|
|
}
|
|
if metricIDs.Len() < maxMetrics {
|
|
metricIDs.UnionMayOwn(m)
|
|
}
|
|
}(minDate)
|
|
minDate++
|
|
}
|
|
wg.Wait()
|
|
if errGlobal != nil {
|
|
return errGlobal
|
|
}
|
|
atomic.AddUint64(&is.db.dateRangeSearchHits, 1)
|
|
return nil
|
|
}
|
|
|
|
func (is *indexSearch) getMetricIDsForDateAndFilters(date uint64, tfs *TagFilters, maxMetrics int) (*uint64set.Set, error) {
|
|
// Sort tfs by loopsCount needed for performing each filter.
|
|
// This stats is usually collected from the previous queries.
|
|
// This way we limit the amount of work below by applying fast filters at first.
|
|
type tagFilterWithWeight struct {
|
|
tf *tagFilter
|
|
loopsCount int64
|
|
filterLoopsCount int64
|
|
}
|
|
tfws := make([]tagFilterWithWeight, len(tfs.tfs))
|
|
currentTime := fasttime.UnixTimestamp()
|
|
for i := range tfs.tfs {
|
|
tf := &tfs.tfs[i]
|
|
loopsCount, filterLoopsCount, timestamp := is.getLoopsCountAndTimestampForDateFilter(date, tf)
|
|
if currentTime > timestamp+3600 {
|
|
// Update stats once per hour for relatively fast tag filters.
|
|
// There is no need in spending CPU resources on updating stats for heavy tag filters.
|
|
if loopsCount <= 10e6 {
|
|
loopsCount = 0
|
|
}
|
|
if filterLoopsCount <= 10e6 {
|
|
filterLoopsCount = 0
|
|
}
|
|
}
|
|
tfws[i] = tagFilterWithWeight{
|
|
tf: tf,
|
|
loopsCount: loopsCount,
|
|
filterLoopsCount: filterLoopsCount,
|
|
}
|
|
}
|
|
sort.Slice(tfws, func(i, j int) bool {
|
|
a, b := &tfws[i], &tfws[j]
|
|
if a.loopsCount != b.loopsCount {
|
|
return a.loopsCount < b.loopsCount
|
|
}
|
|
return a.tf.Less(b.tf)
|
|
})
|
|
getFirstPositiveLoopsCount := func(tfws []tagFilterWithWeight) int64 {
|
|
for i := range tfws {
|
|
if n := tfws[i].loopsCount; n > 0 {
|
|
return n
|
|
}
|
|
}
|
|
return int64Max
|
|
}
|
|
storeLoopsCount := func(tfw *tagFilterWithWeight, loopsCount int64) {
|
|
if loopsCount != tfw.loopsCount {
|
|
tfw.loopsCount = loopsCount
|
|
is.storeLoopsCountForDateFilter(date, tfw.tf, tfw.loopsCount, tfw.filterLoopsCount)
|
|
}
|
|
}
|
|
|
|
// Populate metricIDs for the first non-negative filter with the cost smaller than maxLoopsCount.
|
|
var metricIDs *uint64set.Set
|
|
tfwsRemaining := tfws[:0]
|
|
maxDateMetrics := intMax
|
|
if maxMetrics < intMax/50 {
|
|
maxDateMetrics = maxMetrics * 50
|
|
}
|
|
for i, tfw := range tfws {
|
|
tf := tfw.tf
|
|
if tf.isNegative {
|
|
tfwsRemaining = append(tfwsRemaining, tfw)
|
|
continue
|
|
}
|
|
maxLoopsCount := getFirstPositiveLoopsCount(tfws[i+1:])
|
|
m, loopsCount, err := is.getMetricIDsForDateTagFilter(tf, date, tfs.commonPrefix, maxDateMetrics, maxLoopsCount)
|
|
if err != nil {
|
|
if errors.Is(err, errTooManyLoops) {
|
|
// The tf took too many loops compared to the next filter. Postpone applying this filter.
|
|
storeLoopsCount(&tfw, 2*loopsCount)
|
|
tfwsRemaining = append(tfwsRemaining, tfw)
|
|
continue
|
|
}
|
|
// Move failing filter to the end of filter list.
|
|
storeLoopsCount(&tfw, int64Max)
|
|
return nil, err
|
|
}
|
|
if m.Len() >= maxDateMetrics {
|
|
// Too many time series found by a single tag filter. Move the filter to the end of list.
|
|
storeLoopsCount(&tfw, int64Max-1)
|
|
tfwsRemaining = append(tfwsRemaining, tfw)
|
|
continue
|
|
}
|
|
storeLoopsCount(&tfw, loopsCount)
|
|
metricIDs = m
|
|
tfwsRemaining = append(tfwsRemaining, tfws[i+1:]...)
|
|
break
|
|
}
|
|
tfws = tfwsRemaining
|
|
|
|
if metricIDs == nil {
|
|
// All the filters in tfs are negative or match too many time series.
|
|
// Populate all the metricIDs for the given (date),
|
|
// so later they can be filtered out with negative filters.
|
|
m, err := is.getMetricIDsForDate(date, maxDateMetrics)
|
|
if err != nil {
|
|
if err == errMissingMetricIDsForDate {
|
|
// Zero time series were written on the given date.
|
|
return nil, nil
|
|
}
|
|
return nil, fmt.Errorf("cannot obtain all the metricIDs: %w", err)
|
|
}
|
|
if m.Len() >= maxDateMetrics {
|
|
// Too many time series found for the given (date). Fall back to global search.
|
|
return nil, errFallbackToGlobalSearch
|
|
}
|
|
metricIDs = m
|
|
}
|
|
|
|
sort.Slice(tfws, func(i, j int) bool {
|
|
a, b := &tfws[i], &tfws[j]
|
|
if a.filterLoopsCount != b.filterLoopsCount {
|
|
return a.filterLoopsCount < b.filterLoopsCount
|
|
}
|
|
return a.tf.Less(b.tf)
|
|
})
|
|
getFirstPositiveFilterLoopsCount := func(tfws []tagFilterWithWeight) int64 {
|
|
for i := range tfws {
|
|
if n := tfws[i].filterLoopsCount; n > 0 {
|
|
return n
|
|
}
|
|
}
|
|
return int64Max
|
|
}
|
|
storeFilterLoopsCount := func(tfw *tagFilterWithWeight, filterLoopsCount int64) {
|
|
if filterLoopsCount != tfw.filterLoopsCount {
|
|
is.storeLoopsCountForDateFilter(date, tfw.tf, tfw.loopsCount, filterLoopsCount)
|
|
}
|
|
}
|
|
|
|
// Intersect metricIDs with the rest of filters.
|
|
//
|
|
// Do not run these tag filters in parallel, since this may result in CPU and RAM waste
|
|
// when the intial tag filters significantly reduce the number of found metricIDs,
|
|
// so the remaining filters could be performed via much faster metricName matching instead
|
|
// of slow selecting of matching metricIDs.
|
|
var tfsPostponed []*tagFilter
|
|
for i, tfw := range tfws {
|
|
tf := tfw.tf
|
|
metricIDsLen := metricIDs.Len()
|
|
if metricIDsLen == 0 {
|
|
// There is no need in applying the remaining filters to an empty set.
|
|
break
|
|
}
|
|
if tfw.filterLoopsCount > int64(metricIDsLen)*loopsCountPerMetricNameMatch {
|
|
// It should be faster performing metricName match on the remaining filters
|
|
// instead of scanning big number of entries in the inverted index for these filters.
|
|
for _, tfw := range tfws[i:] {
|
|
tfsPostponed = append(tfsPostponed, tfw.tf)
|
|
}
|
|
break
|
|
}
|
|
maxLoopsCount := getFirstPositiveFilterLoopsCount(tfws[i+1:])
|
|
if maxLoopsCount == int64Max {
|
|
maxLoopsCount = int64(metricIDsLen) * loopsCountPerMetricNameMatch
|
|
}
|
|
m, filterLoopsCount, err := is.getMetricIDsForDateTagFilter(tf, date, tfs.commonPrefix, intMax, maxLoopsCount)
|
|
if err != nil {
|
|
if errors.Is(err, errTooManyLoops) {
|
|
// Postpone tf, since it took more loops than the next filter may need.
|
|
storeFilterLoopsCount(&tfw, 2*filterLoopsCount)
|
|
tfsPostponed = append(tfsPostponed, tf)
|
|
continue
|
|
}
|
|
// Move failing tf to the end of filter list
|
|
storeFilterLoopsCount(&tfw, int64Max)
|
|
return nil, err
|
|
}
|
|
storeFilterLoopsCount(&tfw, filterLoopsCount)
|
|
if tf.isNegative {
|
|
metricIDs.Subtract(m)
|
|
} else {
|
|
metricIDs.Intersect(m)
|
|
}
|
|
}
|
|
if metricIDs.Len() == 0 {
|
|
// There is no need in applying tfsPostponed, since the result is empty.
|
|
return nil, nil
|
|
}
|
|
if len(tfsPostponed) > 0 {
|
|
// Apply the postponed filters via metricName match.
|
|
var m uint64set.Set
|
|
if err := is.updateMetricIDsByMetricNameMatch(&m, metricIDs, tfsPostponed); err != nil {
|
|
return nil, err
|
|
}
|
|
return &m, nil
|
|
}
|
|
return metricIDs, nil
|
|
}
|
|
|
|
const (
|
|
intMax = int((^uint(0)) >> 1)
|
|
int64Max = int64((1 << 63) - 1)
|
|
)
|
|
|
|
func (is *indexSearch) storeDateMetricID(date, metricID uint64, mn *MetricName) error {
|
|
ii := getIndexItems()
|
|
defer putIndexItems(ii)
|
|
|
|
ii.B = is.marshalCommonPrefix(ii.B, nsPrefixDateToMetricID)
|
|
ii.B = encoding.MarshalUint64(ii.B, date)
|
|
ii.B = encoding.MarshalUint64(ii.B, metricID)
|
|
ii.Next()
|
|
|
|
// Create per-day inverted index entries for metricID.
|
|
kb := kbPool.Get()
|
|
defer kbPool.Put(kb)
|
|
kb.B = is.marshalCommonPrefix(kb.B[:0], nsPrefixDateTagToMetricIDs)
|
|
kb.B = encoding.MarshalUint64(kb.B, date)
|
|
ii.registerTagIndexes(kb.B, mn, metricID)
|
|
if err := is.db.tb.AddItems(ii.Items); err != nil {
|
|
return fmt.Errorf("cannot add per-day entires for metricID %d: %w", metricID, err)
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func (ii *indexItems) registerTagIndexes(prefix []byte, mn *MetricName, metricID uint64) {
|
|
// Add index entry for MetricGroup -> MetricID
|
|
ii.B = append(ii.B, prefix...)
|
|
ii.B = marshalTagValue(ii.B, nil)
|
|
ii.B = marshalTagValue(ii.B, mn.MetricGroup)
|
|
ii.B = encoding.MarshalUint64(ii.B, metricID)
|
|
ii.Next()
|
|
ii.addReverseMetricGroupIfNeeded(prefix, mn, metricID)
|
|
|
|
// Add index entries for tags: tag -> MetricID
|
|
for _, tag := range mn.Tags {
|
|
ii.B = append(ii.B, prefix...)
|
|
ii.B = tag.Marshal(ii.B)
|
|
ii.B = encoding.MarshalUint64(ii.B, metricID)
|
|
ii.Next()
|
|
}
|
|
|
|
// Add index entries for composite tags: MetricGroup+tag -> MetricID
|
|
compositeKey := kbPool.Get()
|
|
for _, tag := range mn.Tags {
|
|
compositeKey.B = marshalCompositeTagKey(compositeKey.B[:0], mn.MetricGroup, tag.Key)
|
|
ii.B = append(ii.B, prefix...)
|
|
ii.B = marshalTagValue(ii.B, compositeKey.B)
|
|
ii.B = marshalTagValue(ii.B, tag.Value)
|
|
ii.B = encoding.MarshalUint64(ii.B, metricID)
|
|
ii.Next()
|
|
}
|
|
kbPool.Put(compositeKey)
|
|
}
|
|
|
|
func (ii *indexItems) addReverseMetricGroupIfNeeded(prefix []byte, mn *MetricName, metricID uint64) {
|
|
if bytes.IndexByte(mn.MetricGroup, '.') < 0 {
|
|
// The reverse metric group is needed only for Graphite-like metrics with points.
|
|
return
|
|
}
|
|
// This is most likely a Graphite metric like 'foo.bar.baz'.
|
|
// Store reverse metric name 'zab.rab.oof' in order to speed up search for '*.bar.baz'
|
|
// when the Graphite wildcard has a suffix matching small number of time series.
|
|
ii.B = append(ii.B, prefix...)
|
|
ii.B = marshalTagValue(ii.B, graphiteReverseTagKey)
|
|
revBuf := kbPool.Get()
|
|
revBuf.B = reverseBytes(revBuf.B[:0], mn.MetricGroup)
|
|
ii.B = marshalTagValue(ii.B, revBuf.B)
|
|
kbPool.Put(revBuf)
|
|
ii.B = encoding.MarshalUint64(ii.B, metricID)
|
|
ii.Next()
|
|
}
|
|
|
|
func isArtificialTagKey(key []byte) bool {
|
|
if bytes.Equal(key, graphiteReverseTagKey) {
|
|
return true
|
|
}
|
|
if len(key) > 0 && key[0] == compositeTagKeyPrefix {
|
|
return true
|
|
}
|
|
return false
|
|
}
|
|
|
|
// The tag key for reverse metric name used for speeding up searching
|
|
// for Graphite wildcards with suffix matching small number of time series,
|
|
// i.e. '*.bar.baz'.
|
|
//
|
|
// It is expected that the given key isn't be used by users.
|
|
var graphiteReverseTagKey = []byte("\xff")
|
|
|
|
// The prefix for composite tag, which is used for speeding up searching
|
|
// for composite filters, which contain `{__name__="<metric_name>"}` filter.
|
|
//
|
|
// It is expected that the given prefix isn't used by users.
|
|
const compositeTagKeyPrefix = '\xfe'
|
|
|
|
func marshalCompositeTagKey(dst, name, key []byte) []byte {
|
|
dst = append(dst, compositeTagKeyPrefix)
|
|
dst = encoding.MarshalVarUint64(dst, uint64(len(name)))
|
|
dst = append(dst, name...)
|
|
dst = append(dst, key...)
|
|
return dst
|
|
}
|
|
|
|
func reverseBytes(dst, src []byte) []byte {
|
|
for i := len(src) - 1; i >= 0; i-- {
|
|
dst = append(dst, src[i])
|
|
}
|
|
return dst
|
|
}
|
|
|
|
func (is *indexSearch) hasDateMetricID(date, metricID uint64) (bool, error) {
|
|
ts := &is.ts
|
|
kb := &is.kb
|
|
kb.B = is.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: %w", 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) getMetricIDsForDateTagFilter(tf *tagFilter, date uint64, commonPrefix []byte, maxMetrics int, maxLoopsCount int64) (*uint64set.Set, int64, error) {
|
|
// Augument tag filter prefix for per-date search instead of global search.
|
|
if !bytes.HasPrefix(tf.prefix, commonPrefix) {
|
|
logger.Panicf("BUG: unexpected tf.prefix %q; must start with commonPrefix %q", tf.prefix, commonPrefix)
|
|
}
|
|
kb := kbPool.Get()
|
|
kb.B = is.marshalCommonPrefix(kb.B[:0], nsPrefixDateTagToMetricIDs)
|
|
kb.B = encoding.MarshalUint64(kb.B, date)
|
|
kb.B = append(kb.B, tf.prefix[len(commonPrefix):]...)
|
|
tfNew := *tf
|
|
tfNew.isNegative = false // isNegative for the original tf is handled by the caller.
|
|
tfNew.prefix = kb.B
|
|
metricIDs, loopsCount, err := is.getMetricIDsForTagFilter(&tfNew, maxMetrics, maxLoopsCount)
|
|
kbPool.Put(kb)
|
|
return metricIDs, loopsCount, err
|
|
}
|
|
|
|
func (is *indexSearch) getLoopsCountAndTimestampForDateFilter(date uint64, tf *tagFilter) (int64, int64, uint64) {
|
|
is.kb.B = appendDateTagFilterCacheKey(is.kb.B[:0], is.db.name, date, tf)
|
|
kb := kbPool.Get()
|
|
defer kbPool.Put(kb)
|
|
kb.B = is.db.loopsPerDateTagFilterCache.Get(kb.B[:0], is.kb.B)
|
|
if len(kb.B) != 3*8 {
|
|
return 0, 0, 0
|
|
}
|
|
loopsCount := encoding.UnmarshalInt64(kb.B)
|
|
filterLoopsCount := encoding.UnmarshalInt64(kb.B[8:])
|
|
timestamp := encoding.UnmarshalUint64(kb.B[16:])
|
|
return loopsCount, filterLoopsCount, timestamp
|
|
}
|
|
|
|
func (is *indexSearch) storeLoopsCountForDateFilter(date uint64, tf *tagFilter, loopsCount, filterLoopsCount int64) {
|
|
currentTimestamp := fasttime.UnixTimestamp()
|
|
is.kb.B = appendDateTagFilterCacheKey(is.kb.B[:0], is.db.name, date, tf)
|
|
kb := kbPool.Get()
|
|
kb.B = encoding.MarshalInt64(kb.B[:0], loopsCount)
|
|
kb.B = encoding.MarshalInt64(kb.B, filterLoopsCount)
|
|
kb.B = encoding.MarshalUint64(kb.B, currentTimestamp)
|
|
is.db.loopsPerDateTagFilterCache.Set(is.kb.B, kb.B)
|
|
kbPool.Put(kb)
|
|
}
|
|
|
|
func appendDateTagFilterCacheKey(dst []byte, indexDBName string, date uint64, tf *tagFilter) []byte {
|
|
dst = append(dst, indexDBName...)
|
|
dst = encoding.MarshalUint64(dst, date)
|
|
dst = tf.Marshal(dst)
|
|
return dst
|
|
}
|
|
|
|
func (is *indexSearch) getMetricIDsForDate(date uint64, maxMetrics int) (*uint64set.Set, error) {
|
|
// Extract all the metricIDs from (date, __name__=value)->metricIDs entries.
|
|
kb := kbPool.Get()
|
|
defer kbPool.Put(kb)
|
|
kb.B = is.marshalCommonPrefix(kb.B[:0], nsPrefixDateTagToMetricIDs)
|
|
kb.B = encoding.MarshalUint64(kb.B, date)
|
|
kb.B = marshalTagValue(kb.B, nil)
|
|
var metricIDs uint64set.Set
|
|
if err := is.updateMetricIDsForPrefix(kb.B, &metricIDs, maxMetrics); err != nil {
|
|
return nil, err
|
|
}
|
|
return &metricIDs, nil
|
|
}
|
|
|
|
func (is *indexSearch) updateMetricIDsAll(metricIDs *uint64set.Set, maxMetrics int) error {
|
|
kb := kbPool.Get()
|
|
defer kbPool.Put(kb)
|
|
// Extract all the metricIDs from (__name__=value)->metricIDs entries.
|
|
kb.B = is.marshalCommonPrefix(kb.B[:0], nsPrefixTagToMetricIDs)
|
|
kb.B = marshalTagValue(kb.B, nil)
|
|
return is.updateMetricIDsForPrefix(kb.B, metricIDs, maxMetrics)
|
|
}
|
|
|
|
func (is *indexSearch) updateMetricIDsForPrefix(prefix []byte, metricIDs *uint64set.Set, maxMetrics int) error {
|
|
ts := &is.ts
|
|
mp := &is.mp
|
|
loopsPaceLimiter := 0
|
|
ts.Seek(prefix)
|
|
for ts.NextItem() {
|
|
if loopsPaceLimiter&paceLimiterFastIterationsMask == 0 {
|
|
if err := checkSearchDeadlineAndPace(is.deadline); err != nil {
|
|
return err
|
|
}
|
|
}
|
|
loopsPaceLimiter++
|
|
item := ts.Item
|
|
if !bytes.HasPrefix(item, prefix) {
|
|
return nil
|
|
}
|
|
tail := item[len(prefix):]
|
|
n := bytes.IndexByte(tail, tagSeparatorChar)
|
|
if n < 0 {
|
|
return fmt.Errorf("invalid tag->metricIDs line %q: cannot find tagSeparatorChar %d", item, tagSeparatorChar)
|
|
}
|
|
tail = tail[n+1:]
|
|
if err := mp.InitOnlyTail(item, tail); err != nil {
|
|
return err
|
|
}
|
|
mp.ParseMetricIDs()
|
|
metricIDs.AddMulti(mp.MetricIDs)
|
|
if metricIDs.Len() >= maxMetrics {
|
|
return nil
|
|
}
|
|
}
|
|
if err := ts.Error(); err != nil {
|
|
return fmt.Errorf("error when searching for all metricIDs by prefix %q: %w", prefix, err)
|
|
}
|
|
return nil
|
|
}
|
|
|
|
// The estimated number of index scan loops a single loop in updateMetricIDsByMetricNameMatch takes.
|
|
const loopsCountPerMetricNameMatch = 150
|
|
|
|
func (is *indexSearch) intersectMetricIDsWithTagFilter(tf *tagFilter, filter *uint64set.Set) (*uint64set.Set, error) {
|
|
if filter.Len() == 0 {
|
|
return nil, nil
|
|
}
|
|
metricIDs := filter
|
|
if !tf.isNegative {
|
|
metricIDs = &uint64set.Set{}
|
|
}
|
|
if len(tf.orSuffixes) > 0 {
|
|
// Fast path for orSuffixes - seek for rows for each value from orSuffixes.
|
|
_, err := is.updateMetricIDsForOrSuffixesWithFilter(tf, metricIDs, filter, int64Max)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("error when intersecting metricIDs for tagFilter in fast path: %w; tagFilter=%s", err, tf)
|
|
}
|
|
return metricIDs, nil
|
|
}
|
|
|
|
// Slow path - scan for all the rows with the given prefix.
|
|
_, err := is.getMetricIDsForTagFilterSlow(tf, filter, func(metricID uint64) {
|
|
if tf.isNegative {
|
|
// filter must be equal to metricIDs
|
|
metricIDs.Del(metricID)
|
|
} else {
|
|
metricIDs.Add(metricID)
|
|
}
|
|
}, int64Max)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("error when intersecting metricIDs for tagFilter in slow path: %w; tagFilter=%s", err, tf)
|
|
}
|
|
return metricIDs, nil
|
|
}
|
|
|
|
var kbPool bytesutil.ByteBufferPool
|
|
|
|
// Returns local unique MetricID.
|
|
func generateUniqueMetricID() uint64 {
|
|
// It is expected that metricIDs returned from this function must be dense.
|
|
// If they will be sparse, then this may hurt metric_ids intersection
|
|
// performance with uint64set.Set.
|
|
return atomic.AddUint64(&nextUniqueMetricID, 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 nextUniqueMetricID = uint64(time.Now().UnixNano())
|
|
|
|
func marshalCommonPrefix(dst []byte, nsPrefix byte) []byte {
|
|
dst = append(dst, nsPrefix)
|
|
return dst
|
|
}
|
|
|
|
// This function is needed only for minimizing the difference between code for single-node and cluster version.
|
|
func (is *indexSearch) marshalCommonPrefix(dst []byte, nsPrefix byte) []byte {
|
|
return marshalCommonPrefix(dst, nsPrefix)
|
|
}
|
|
|
|
func unmarshalCommonPrefix(src []byte) ([]byte, byte, error) {
|
|
if len(src) < commonPrefixLen {
|
|
return nil, 0, fmt.Errorf("cannot unmarshal common prefix from %d bytes; need at least %d bytes; data=%X", len(src), commonPrefixLen, src)
|
|
}
|
|
prefix := src[0]
|
|
return src[commonPrefixLen:], prefix, nil
|
|
}
|
|
|
|
// 1 byte for prefix
|
|
const commonPrefixLen = 1
|
|
|
|
type tagToMetricIDsRowParser struct {
|
|
// NSPrefix contains the first byte parsed from the row after Init call.
|
|
// This is either nsPrefixTagToMetricIDs or nsPrefixDateTagToMetricIDs.
|
|
NSPrefix byte
|
|
|
|
// Date contains parsed date for nsPrefixDateTagToMetricIDs rows after Init call
|
|
Date uint64
|
|
|
|
// MetricIDs contains parsed MetricIDs after ParseMetricIDs call
|
|
MetricIDs []uint64
|
|
|
|
// Tag contains parsed tag after Init call
|
|
Tag Tag
|
|
|
|
// tail contains the remaining unparsed metricIDs
|
|
tail []byte
|
|
}
|
|
|
|
func (mp *tagToMetricIDsRowParser) Reset() {
|
|
mp.NSPrefix = 0
|
|
mp.Date = 0
|
|
mp.MetricIDs = mp.MetricIDs[:0]
|
|
mp.Tag.Reset()
|
|
mp.tail = nil
|
|
}
|
|
|
|
// Init initializes mp from b, which should contain encoded tag->metricIDs row.
|
|
//
|
|
// b cannot be re-used until Reset call.
|
|
func (mp *tagToMetricIDsRowParser) Init(b []byte, nsPrefixExpected byte) error {
|
|
tail, nsPrefix, err := unmarshalCommonPrefix(b)
|
|
if err != nil {
|
|
return fmt.Errorf("invalid tag->metricIDs row %q: %w", b, err)
|
|
}
|
|
if nsPrefix != nsPrefixExpected {
|
|
return fmt.Errorf("invalid prefix for tag->metricIDs row %q; got %d; want %d", b, nsPrefix, nsPrefixExpected)
|
|
}
|
|
if nsPrefix == nsPrefixDateTagToMetricIDs {
|
|
// unmarshal date.
|
|
if len(tail) < 8 {
|
|
return fmt.Errorf("cannot unmarshal date from (date, tag)->metricIDs row %q from %d bytes; want at least 8 bytes", b, len(tail))
|
|
}
|
|
mp.Date = encoding.UnmarshalUint64(tail)
|
|
tail = tail[8:]
|
|
}
|
|
mp.NSPrefix = nsPrefix
|
|
tail, err = mp.Tag.Unmarshal(tail)
|
|
if err != nil {
|
|
return fmt.Errorf("cannot unmarshal tag from tag->metricIDs row %q: %w", b, err)
|
|
}
|
|
return mp.InitOnlyTail(b, tail)
|
|
}
|
|
|
|
// MarshalPrefix marshals row prefix without tail to dst.
|
|
func (mp *tagToMetricIDsRowParser) MarshalPrefix(dst []byte) []byte {
|
|
dst = marshalCommonPrefix(dst, mp.NSPrefix)
|
|
if mp.NSPrefix == nsPrefixDateTagToMetricIDs {
|
|
dst = encoding.MarshalUint64(dst, mp.Date)
|
|
}
|
|
dst = mp.Tag.Marshal(dst)
|
|
return dst
|
|
}
|
|
|
|
// InitOnlyTail initializes mp.tail from tail.
|
|
//
|
|
// b must contain tag->metricIDs row.
|
|
// b cannot be re-used until Reset call.
|
|
func (mp *tagToMetricIDsRowParser) InitOnlyTail(b, tail []byte) error {
|
|
if len(tail) == 0 {
|
|
return fmt.Errorf("missing metricID in the tag->metricIDs row %q", b)
|
|
}
|
|
if len(tail)%8 != 0 {
|
|
return fmt.Errorf("invalid tail length in the tag->metricIDs row; got %d bytes; must be multiple of 8 bytes", len(tail))
|
|
}
|
|
mp.tail = tail
|
|
return nil
|
|
}
|
|
|
|
// EqualPrefix returns true if prefixes for mp and x are equal.
|
|
//
|
|
// Prefix contains (tag)
|
|
func (mp *tagToMetricIDsRowParser) EqualPrefix(x *tagToMetricIDsRowParser) bool {
|
|
if !mp.Tag.Equal(&x.Tag) {
|
|
return false
|
|
}
|
|
return mp.Date == x.Date && mp.NSPrefix == x.NSPrefix
|
|
}
|
|
|
|
// FirstAndLastMetricIDs returns the first and the last metricIDs in the mp.tail.
|
|
func (mp *tagToMetricIDsRowParser) FirstAndLastMetricIDs() (uint64, uint64) {
|
|
tail := mp.tail
|
|
if len(tail) < 8 {
|
|
logger.Panicf("BUG: cannot unmarshal metricID from %d bytes; need 8 bytes", len(tail))
|
|
return 0, 0
|
|
}
|
|
firstMetricID := encoding.UnmarshalUint64(tail)
|
|
lastMetricID := firstMetricID
|
|
if len(tail) > 8 {
|
|
lastMetricID = encoding.UnmarshalUint64(tail[len(tail)-8:])
|
|
}
|
|
return firstMetricID, lastMetricID
|
|
}
|
|
|
|
// MetricIDsLen returns the number of MetricIDs in the mp.tail
|
|
func (mp *tagToMetricIDsRowParser) MetricIDsLen() int {
|
|
return len(mp.tail) / 8
|
|
}
|
|
|
|
// ParseMetricIDs parses MetricIDs from mp.tail into mp.MetricIDs.
|
|
func (mp *tagToMetricIDsRowParser) ParseMetricIDs() {
|
|
tail := mp.tail
|
|
mp.MetricIDs = mp.MetricIDs[:0]
|
|
n := len(tail) / 8
|
|
if n <= cap(mp.MetricIDs) {
|
|
mp.MetricIDs = mp.MetricIDs[:n]
|
|
} else {
|
|
mp.MetricIDs = append(mp.MetricIDs[:cap(mp.MetricIDs)], make([]uint64, n-cap(mp.MetricIDs))...)
|
|
}
|
|
metricIDs := mp.MetricIDs
|
|
_ = metricIDs[n-1]
|
|
for i := 0; i < n; i++ {
|
|
if len(tail) < 8 {
|
|
logger.Panicf("BUG: tail cannot be smaller than 8 bytes; got %d bytes; tail=%X", len(tail), tail)
|
|
return
|
|
}
|
|
metricID := encoding.UnmarshalUint64(tail)
|
|
metricIDs[i] = metricID
|
|
tail = tail[8:]
|
|
}
|
|
}
|
|
|
|
// HasCommonMetricIDs returns true if mp has at least one common metric id with filter.
|
|
func (mp *tagToMetricIDsRowParser) HasCommonMetricIDs(filter *uint64set.Set) bool {
|
|
for _, metricID := range mp.MetricIDs {
|
|
if filter.Has(metricID) {
|
|
return true
|
|
}
|
|
}
|
|
return false
|
|
}
|
|
|
|
// IsDeletedTag verifies whether the tag from mp is deleted according to dmis.
|
|
//
|
|
// dmis must contain deleted MetricIDs.
|
|
func (mp *tagToMetricIDsRowParser) IsDeletedTag(dmis *uint64set.Set) bool {
|
|
if dmis.Len() == 0 {
|
|
return false
|
|
}
|
|
mp.ParseMetricIDs()
|
|
for _, metricID := range mp.MetricIDs {
|
|
if !dmis.Has(metricID) {
|
|
return false
|
|
}
|
|
}
|
|
return true
|
|
}
|
|
|
|
func mergeTagToMetricIDsRows(data []byte, items []mergeset.Item) ([]byte, []mergeset.Item) {
|
|
data, items = mergeTagToMetricIDsRowsInternal(data, items, nsPrefixTagToMetricIDs)
|
|
data, items = mergeTagToMetricIDsRowsInternal(data, items, nsPrefixDateTagToMetricIDs)
|
|
return data, items
|
|
}
|
|
|
|
func mergeTagToMetricIDsRowsInternal(data []byte, items []mergeset.Item, nsPrefix byte) ([]byte, []mergeset.Item) {
|
|
// Perform quick checks whether items contain rows starting from nsPrefix
|
|
// based on the fact that items are sorted.
|
|
if len(items) <= 2 {
|
|
// The first and the last row must remain unchanged.
|
|
return data, items
|
|
}
|
|
firstItem := items[0].Bytes(data)
|
|
if len(firstItem) > 0 && firstItem[0] > nsPrefix {
|
|
return data, items
|
|
}
|
|
lastItem := items[len(items)-1].Bytes(data)
|
|
if len(lastItem) > 0 && lastItem[0] < nsPrefix {
|
|
return data, items
|
|
}
|
|
|
|
// items contain at least one row starting from nsPrefix. Merge rows with common tag.
|
|
tmm := getTagToMetricIDsRowsMerger()
|
|
tmm.dataCopy = append(tmm.dataCopy[:0], data...)
|
|
tmm.itemsCopy = append(tmm.itemsCopy[:0], items...)
|
|
mp := &tmm.mp
|
|
mpPrev := &tmm.mpPrev
|
|
dstData := data[:0]
|
|
dstItems := items[:0]
|
|
for i, it := range items {
|
|
item := it.Bytes(data)
|
|
if len(item) == 0 || item[0] != nsPrefix || i == 0 || i == len(items)-1 {
|
|
// Write rows not starting with nsPrefix as-is.
|
|
// Additionally write the first and the last row as-is in order to preserve
|
|
// sort order for adjacent blocks.
|
|
dstData, dstItems = tmm.flushPendingMetricIDs(dstData, dstItems, mpPrev)
|
|
dstData = append(dstData, item...)
|
|
dstItems = append(dstItems, mergeset.Item{
|
|
Start: uint32(len(dstData) - len(item)),
|
|
End: uint32(len(dstData)),
|
|
})
|
|
continue
|
|
}
|
|
if err := mp.Init(item, nsPrefix); err != nil {
|
|
logger.Panicf("FATAL: cannot parse row starting with nsPrefix %d during merge: %s", nsPrefix, err)
|
|
}
|
|
if mp.MetricIDsLen() >= maxMetricIDsPerRow {
|
|
dstData, dstItems = tmm.flushPendingMetricIDs(dstData, dstItems, mpPrev)
|
|
dstData = append(dstData, item...)
|
|
dstItems = append(dstItems, mergeset.Item{
|
|
Start: uint32(len(dstData) - len(item)),
|
|
End: uint32(len(dstData)),
|
|
})
|
|
continue
|
|
}
|
|
if !mp.EqualPrefix(mpPrev) {
|
|
dstData, dstItems = tmm.flushPendingMetricIDs(dstData, dstItems, mpPrev)
|
|
}
|
|
mp.ParseMetricIDs()
|
|
tmm.pendingMetricIDs = append(tmm.pendingMetricIDs, mp.MetricIDs...)
|
|
mpPrev, mp = mp, mpPrev
|
|
if len(tmm.pendingMetricIDs) >= maxMetricIDsPerRow {
|
|
dstData, dstItems = tmm.flushPendingMetricIDs(dstData, dstItems, mpPrev)
|
|
}
|
|
}
|
|
if len(tmm.pendingMetricIDs) > 0 {
|
|
logger.Panicf("BUG: tmm.pendingMetricIDs must be empty at this point; got %d items: %d", len(tmm.pendingMetricIDs), tmm.pendingMetricIDs)
|
|
}
|
|
if !checkItemsSorted(dstData, dstItems) {
|
|
// Items could become unsorted if initial items contain duplicate metricIDs:
|
|
//
|
|
// item1: 1, 1, 5
|
|
// item2: 1, 4
|
|
//
|
|
// Items could become the following after the merge:
|
|
//
|
|
// item1: 1, 5
|
|
// item2: 1, 4
|
|
//
|
|
// i.e. item1 > item2
|
|
//
|
|
// Leave the original items unmerged, so they can be merged next time.
|
|
// This case should be quite rare - if multiple data points are simultaneously inserted
|
|
// into the same new time series from multiple concurrent goroutines.
|
|
atomic.AddUint64(&indexBlocksWithMetricIDsIncorrectOrder, 1)
|
|
dstData = append(dstData[:0], tmm.dataCopy...)
|
|
dstItems = append(dstItems[:0], tmm.itemsCopy...)
|
|
if !checkItemsSorted(dstData, dstItems) {
|
|
logger.Panicf("BUG: the original items weren't sorted; items=%q", dstItems)
|
|
}
|
|
}
|
|
putTagToMetricIDsRowsMerger(tmm)
|
|
atomic.AddUint64(&indexBlocksWithMetricIDsProcessed, 1)
|
|
return dstData, dstItems
|
|
}
|
|
|
|
var indexBlocksWithMetricIDsIncorrectOrder uint64
|
|
var indexBlocksWithMetricIDsProcessed uint64
|
|
|
|
func checkItemsSorted(data []byte, items []mergeset.Item) bool {
|
|
if len(items) == 0 {
|
|
return true
|
|
}
|
|
prevItem := items[0].String(data)
|
|
for _, it := range items[1:] {
|
|
currItem := it.String(data)
|
|
if prevItem > currItem {
|
|
return false
|
|
}
|
|
prevItem = currItem
|
|
}
|
|
return true
|
|
}
|
|
|
|
// maxMetricIDsPerRow limits the number of metricIDs in tag->metricIDs row.
|
|
//
|
|
// This reduces overhead on index and metaindex in lib/mergeset.
|
|
const maxMetricIDsPerRow = 64
|
|
|
|
type uint64Sorter []uint64
|
|
|
|
func (s uint64Sorter) Len() int { return len(s) }
|
|
func (s uint64Sorter) Less(i, j int) bool {
|
|
return s[i] < s[j]
|
|
}
|
|
func (s uint64Sorter) Swap(i, j int) {
|
|
s[i], s[j] = s[j], s[i]
|
|
}
|
|
|
|
type tagToMetricIDsRowsMerger struct {
|
|
pendingMetricIDs uint64Sorter
|
|
mp tagToMetricIDsRowParser
|
|
mpPrev tagToMetricIDsRowParser
|
|
|
|
itemsCopy []mergeset.Item
|
|
dataCopy []byte
|
|
}
|
|
|
|
func (tmm *tagToMetricIDsRowsMerger) Reset() {
|
|
tmm.pendingMetricIDs = tmm.pendingMetricIDs[:0]
|
|
tmm.mp.Reset()
|
|
tmm.mpPrev.Reset()
|
|
|
|
tmm.itemsCopy = tmm.itemsCopy[:0]
|
|
tmm.dataCopy = tmm.dataCopy[:0]
|
|
}
|
|
|
|
func (tmm *tagToMetricIDsRowsMerger) flushPendingMetricIDs(dstData []byte, dstItems []mergeset.Item, mp *tagToMetricIDsRowParser) ([]byte, []mergeset.Item) {
|
|
if len(tmm.pendingMetricIDs) == 0 {
|
|
// Nothing to flush
|
|
return dstData, dstItems
|
|
}
|
|
// Use sort.Sort instead of sort.Slice in order to reduce memory allocations.
|
|
sort.Sort(&tmm.pendingMetricIDs)
|
|
tmm.pendingMetricIDs = removeDuplicateMetricIDs(tmm.pendingMetricIDs)
|
|
|
|
// Marshal pendingMetricIDs
|
|
dstDataLen := len(dstData)
|
|
dstData = mp.MarshalPrefix(dstData)
|
|
for _, metricID := range tmm.pendingMetricIDs {
|
|
dstData = encoding.MarshalUint64(dstData, metricID)
|
|
}
|
|
dstItems = append(dstItems, mergeset.Item{
|
|
Start: uint32(dstDataLen),
|
|
End: uint32(len(dstData)),
|
|
})
|
|
tmm.pendingMetricIDs = tmm.pendingMetricIDs[:0]
|
|
return dstData, dstItems
|
|
}
|
|
|
|
func removeDuplicateMetricIDs(sortedMetricIDs []uint64) []uint64 {
|
|
if len(sortedMetricIDs) < 2 {
|
|
return sortedMetricIDs
|
|
}
|
|
prevMetricID := sortedMetricIDs[0]
|
|
hasDuplicates := false
|
|
for _, metricID := range sortedMetricIDs[1:] {
|
|
if prevMetricID == metricID {
|
|
hasDuplicates = true
|
|
break
|
|
}
|
|
prevMetricID = metricID
|
|
}
|
|
if !hasDuplicates {
|
|
return sortedMetricIDs
|
|
}
|
|
dstMetricIDs := sortedMetricIDs[:1]
|
|
prevMetricID = sortedMetricIDs[0]
|
|
for _, metricID := range sortedMetricIDs[1:] {
|
|
if prevMetricID == metricID {
|
|
continue
|
|
}
|
|
dstMetricIDs = append(dstMetricIDs, metricID)
|
|
prevMetricID = metricID
|
|
}
|
|
return dstMetricIDs
|
|
}
|
|
|
|
func getTagToMetricIDsRowsMerger() *tagToMetricIDsRowsMerger {
|
|
v := tmmPool.Get()
|
|
if v == nil {
|
|
return &tagToMetricIDsRowsMerger{}
|
|
}
|
|
return v.(*tagToMetricIDsRowsMerger)
|
|
}
|
|
|
|
func putTagToMetricIDsRowsMerger(tmm *tagToMetricIDsRowsMerger) {
|
|
tmm.Reset()
|
|
tmmPool.Put(tmm)
|
|
}
|
|
|
|
var tmmPool sync.Pool
|