mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
synced 2024-11-21 14:44:00 +00:00
3552 lines
115 KiB
Go
3552 lines
115 KiB
Go
package storage
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import (
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"bytes"
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"container/heap"
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"errors"
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"fmt"
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"io"
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"path/filepath"
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"reflect"
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"sort"
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"strconv"
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"sync"
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"sync/atomic"
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"time"
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"unsafe"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/encoding"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/fasttime"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/fs"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/memory"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/mergeset"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/querytracer"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/uint64set"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/workingsetcache"
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"github.com/VictoriaMetrics/fastcache"
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"github.com/cespare/xxhash/v2"
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)
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const (
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// Prefix for MetricName->TSID entries.
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//
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// This index was substituted with nsPrefixDateMetricNameToTSID,
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// since the MetricName->TSID index may require big amounts of memory for indexdb/dataBlocks cache
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// when it grows big on the configured retention under high churn rate
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// (e.g. when new time series are constantly registered).
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//
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// It is much more efficient from memory usage PoV to query per-day MetricName->TSID index
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// (aka nsPrefixDateMetricNameToTSID) when the TSID must be obtained for the given MetricName
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// during data ingestion under high churn rate and big retention.
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//
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// nsPrefixMetricNameToTSID = 0
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// Prefix for Tag->MetricID entries.
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nsPrefixTagToMetricIDs = 1
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// Prefix for MetricID->TSID entries.
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nsPrefixMetricIDToTSID = 2
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// Prefix for MetricID->MetricName entries.
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nsPrefixMetricIDToMetricName = 3
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// Prefix for deleted MetricID entries.
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nsPrefixDeletedMetricID = 4
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// Prefix for Date->MetricID entries.
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nsPrefixDateToMetricID = 5
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// Prefix for (Date,Tag)->MetricID entries.
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nsPrefixDateTagToMetricIDs = 6
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// Prefix for (Date,MetricName)->TSID entries.
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nsPrefixDateMetricNameToTSID = 7
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)
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// indexDB represents an index db.
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type indexDB struct {
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// Atomic counters must go at the top of the structure in order to properly align by 8 bytes on 32-bit archs.
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// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/212 .
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refCount uint64
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// The counter for newly created time series. It can be used for determining time series churn rate.
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newTimeseriesCreated uint64
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// The counter for time series which were re-populated from previous indexDB after the rotation.
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timeseriesRepopulated uint64
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// The number of missing MetricID -> TSID entries.
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// High rate for this value means corrupted indexDB.
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missingTSIDsForMetricID uint64
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// The number of calls for date range searches.
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dateRangeSearchCalls uint64
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// The number of hits for date range searches.
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dateRangeSearchHits uint64
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// The number of calls for global search.
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globalSearchCalls uint64
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// missingMetricNamesForMetricID is a counter of missing MetricID -> MetricName entries.
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// High rate may mean corrupted indexDB due to unclean shutdown.
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// The db must be automatically recovered after that.
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missingMetricNamesForMetricID uint64
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mustDrop uint64
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// generation identifies the index generation ID
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// and is used for syncing items from different indexDBs
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generation uint64
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// The unix timestamp in seconds for the indexDB rotation.
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rotationTimestamp uint64
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name string
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tb *mergeset.Table
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extDB *indexDB
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extDBLock sync.Mutex
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// Cache for fast TagFilters -> MetricIDs lookup.
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tagFiltersToMetricIDsCache *workingsetcache.Cache
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// The parent storage.
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s *Storage
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// Cache for (date, tagFilter) -> loopsCount, which is used for reducing
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// the amount of work when matching a set of filters.
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loopsPerDateTagFilterCache *workingsetcache.Cache
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indexSearchPool sync.Pool
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}
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var maxTagFiltersCacheSize int
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// SetTagFiltersCacheSize overrides the default size of tagFiltersToMetricIDsCache
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func SetTagFiltersCacheSize(size int) {
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maxTagFiltersCacheSize = size
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}
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func getTagFiltersCacheSize() int {
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if maxTagFiltersCacheSize <= 0 {
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return int(float64(memory.Allowed()) / 32)
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}
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return maxTagFiltersCacheSize
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}
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// mustOpenIndexDB opens index db from the given path.
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//
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// The last segment of the path should contain unique hex value which
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// will be then used as indexDB.generation
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//
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// The rotationTimestamp must be set to the current unix timestamp when mustOpenIndexDB
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// is called when creating new indexdb during indexdb rotation.
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func mustOpenIndexDB(path string, s *Storage, rotationTimestamp uint64, isReadOnly *uint32) *indexDB {
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if s == nil {
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logger.Panicf("BUG: Storage must be nin-nil")
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}
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name := filepath.Base(path)
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gen, err := strconv.ParseUint(name, 16, 64)
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if err != nil {
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logger.Panicf("FATAL: cannot parse indexdb path %q: %s", path, err)
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}
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tb := mergeset.MustOpenTable(path, invalidateTagFiltersCache, mergeTagToMetricIDsRows, isReadOnly)
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// Do not persist tagFiltersToMetricIDsCache in files, since it is very volatile.
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mem := memory.Allowed()
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tagFiltersCacheSize := getTagFiltersCacheSize()
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db := &indexDB{
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refCount: 1,
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generation: gen,
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rotationTimestamp: rotationTimestamp,
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tb: tb,
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name: name,
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tagFiltersToMetricIDsCache: workingsetcache.New(tagFiltersCacheSize),
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s: s,
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loopsPerDateTagFilterCache: workingsetcache.New(mem / 128),
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}
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return db
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}
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const noDeadline = 1<<64 - 1
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// IndexDBMetrics contains essential metrics for indexDB.
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type IndexDBMetrics struct {
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TagFiltersToMetricIDsCacheSize uint64
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TagFiltersToMetricIDsCacheSizeBytes uint64
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TagFiltersToMetricIDsCacheSizeMaxBytes uint64
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TagFiltersToMetricIDsCacheRequests uint64
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TagFiltersToMetricIDsCacheMisses uint64
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DeletedMetricsCount uint64
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IndexDBRefCount uint64
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NewTimeseriesCreated uint64
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TimeseriesRepopulated uint64
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MissingTSIDsForMetricID uint64
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RecentHourMetricIDsSearchCalls uint64
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RecentHourMetricIDsSearchHits uint64
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DateRangeSearchCalls uint64
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DateRangeSearchHits uint64
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GlobalSearchCalls uint64
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MissingMetricNamesForMetricID uint64
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IndexBlocksWithMetricIDsProcessed uint64
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IndexBlocksWithMetricIDsIncorrectOrder uint64
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MinTimestampForCompositeIndex uint64
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CompositeFilterSuccessConversions uint64
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CompositeFilterMissingConversions uint64
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mergeset.TableMetrics
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}
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func (db *indexDB) scheduleToDrop() {
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atomic.AddUint64(&db.mustDrop, 1)
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}
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// UpdateMetrics updates m with metrics from the db.
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func (db *indexDB) UpdateMetrics(m *IndexDBMetrics) {
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var cs fastcache.Stats
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cs.Reset()
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db.tagFiltersToMetricIDsCache.UpdateStats(&cs)
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m.TagFiltersToMetricIDsCacheSize += cs.EntriesCount
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m.TagFiltersToMetricIDsCacheSizeBytes += cs.BytesSize
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m.TagFiltersToMetricIDsCacheSizeMaxBytes += cs.MaxBytesSize
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m.TagFiltersToMetricIDsCacheRequests += cs.GetCalls
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m.TagFiltersToMetricIDsCacheMisses += cs.Misses
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m.DeletedMetricsCount += uint64(db.s.getDeletedMetricIDs().Len())
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m.IndexDBRefCount += atomic.LoadUint64(&db.refCount)
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m.NewTimeseriesCreated += atomic.LoadUint64(&db.newTimeseriesCreated)
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m.TimeseriesRepopulated += atomic.LoadUint64(&db.timeseriesRepopulated)
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m.MissingTSIDsForMetricID += atomic.LoadUint64(&db.missingTSIDsForMetricID)
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m.DateRangeSearchCalls += atomic.LoadUint64(&db.dateRangeSearchCalls)
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m.DateRangeSearchHits += atomic.LoadUint64(&db.dateRangeSearchHits)
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m.GlobalSearchCalls += atomic.LoadUint64(&db.globalSearchCalls)
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m.MissingMetricNamesForMetricID += atomic.LoadUint64(&db.missingMetricNamesForMetricID)
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m.IndexBlocksWithMetricIDsProcessed = atomic.LoadUint64(&indexBlocksWithMetricIDsProcessed)
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m.IndexBlocksWithMetricIDsIncorrectOrder = atomic.LoadUint64(&indexBlocksWithMetricIDsIncorrectOrder)
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m.MinTimestampForCompositeIndex = uint64(db.s.minTimestampForCompositeIndex)
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m.CompositeFilterSuccessConversions = atomic.LoadUint64(&compositeFilterSuccessConversions)
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m.CompositeFilterMissingConversions = atomic.LoadUint64(&compositeFilterMissingConversions)
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db.tb.UpdateMetrics(&m.TableMetrics)
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db.doExtDB(func(extDB *indexDB) {
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extDB.tb.UpdateMetrics(&m.TableMetrics)
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m.IndexDBRefCount += atomic.LoadUint64(&extDB.refCount)
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})
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}
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func (db *indexDB) doExtDB(f func(extDB *indexDB)) bool {
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db.extDBLock.Lock()
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extDB := db.extDB
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if extDB != nil {
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extDB.incRef()
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}
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db.extDBLock.Unlock()
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if extDB == nil {
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return false
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}
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f(extDB)
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extDB.decRef()
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return true
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}
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// SetExtDB sets external db to search.
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//
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// It decrements refCount for the previous extDB.
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func (db *indexDB) SetExtDB(extDB *indexDB) {
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db.extDBLock.Lock()
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prevExtDB := db.extDB
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db.extDB = extDB
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db.extDBLock.Unlock()
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if prevExtDB != nil {
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prevExtDB.decRef()
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}
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}
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// MustClose closes db.
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func (db *indexDB) MustClose() {
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db.decRef()
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}
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func (db *indexDB) incRef() {
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atomic.AddUint64(&db.refCount, 1)
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}
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func (db *indexDB) decRef() {
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n := atomic.AddUint64(&db.refCount, ^uint64(0))
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if int64(n) < 0 {
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logger.Panicf("BUG: negative refCount: %d", n)
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}
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if n > 0 {
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return
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}
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tbPath := db.tb.Path()
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db.tb.MustClose()
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db.SetExtDB(nil)
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// Free space occupied by caches owned by db.
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db.tagFiltersToMetricIDsCache.Stop()
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db.loopsPerDateTagFilterCache.Stop()
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db.tagFiltersToMetricIDsCache = nil
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db.s = nil
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db.loopsPerDateTagFilterCache = nil
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if atomic.LoadUint64(&db.mustDrop) == 0 {
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return
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}
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logger.Infof("dropping indexDB %q", tbPath)
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fs.MustRemoveDirAtomic(tbPath)
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logger.Infof("indexDB %q has been dropped", tbPath)
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}
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var tagBufPool bytesutil.ByteBufferPool
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func (db *indexDB) getMetricIDsFromTagFiltersCache(qt *querytracer.Tracer, key []byte) ([]uint64, bool) {
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qt = qt.NewChild("search for metricIDs in tag filters cache")
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defer qt.Done()
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buf := tagBufPool.Get()
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defer tagBufPool.Put(buf)
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buf.B = db.tagFiltersToMetricIDsCache.GetBig(buf.B[:0], key)
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if len(buf.B) == 0 {
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qt.Printf("cache miss")
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return nil, false
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}
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qt.Printf("found metricIDs with size: %d bytes", len(buf.B))
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metricIDs, err := unmarshalMetricIDs(nil, buf.B)
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if err != nil {
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logger.Panicf("FATAL: cannot unmarshal metricIDs from tagFiltersToMetricIDsCache: %s", err)
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}
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qt.Printf("unmarshaled %d metricIDs", len(metricIDs))
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return metricIDs, true
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}
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func (db *indexDB) putMetricIDsToTagFiltersCache(qt *querytracer.Tracer, metricIDs []uint64, key []byte) {
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qt = qt.NewChild("put %d metricIDs in cache", len(metricIDs))
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defer qt.Done()
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buf := tagBufPool.Get()
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buf.B = marshalMetricIDs(buf.B, metricIDs)
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qt.Printf("marshaled %d metricIDs into %d bytes", len(metricIDs), len(buf.B))
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db.tagFiltersToMetricIDsCache.SetBig(key, buf.B)
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qt.Printf("stored %d metricIDs into cache", len(metricIDs))
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tagBufPool.Put(buf)
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}
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func (db *indexDB) getFromMetricIDCache(dst *TSID, metricID uint64) error {
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// There is no need in checking for deleted metricIDs here, since they
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// must be checked by the caller.
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buf := (*[unsafe.Sizeof(*dst)]byte)(unsafe.Pointer(dst))
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key := (*[unsafe.Sizeof(metricID)]byte)(unsafe.Pointer(&metricID))
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tmp := db.s.metricIDCache.Get(buf[:0], key[:])
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if len(tmp) == 0 {
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// The TSID for the given metricID wasn't found in the cache.
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return io.EOF
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}
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if &tmp[0] != &buf[0] || len(tmp) != len(buf) {
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return fmt.Errorf("corrupted MetricID->TSID cache: unexpected size for metricID=%d value; got %d bytes; want %d bytes", metricID, len(tmp), len(buf))
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}
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return nil
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}
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func (db *indexDB) putToMetricIDCache(metricID uint64, tsid *TSID) {
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buf := (*[unsafe.Sizeof(*tsid)]byte)(unsafe.Pointer(tsid))
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key := (*[unsafe.Sizeof(metricID)]byte)(unsafe.Pointer(&metricID))
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db.s.metricIDCache.Set(key[:], buf[:])
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}
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func (db *indexDB) getMetricNameFromCache(dst []byte, metricID uint64) []byte {
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// There is no need in checking for deleted metricIDs here, since they
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// must be checked by the caller.
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key := (*[unsafe.Sizeof(metricID)]byte)(unsafe.Pointer(&metricID))
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return db.s.metricNameCache.Get(dst, key[:])
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}
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func (db *indexDB) putMetricNameToCache(metricID uint64, metricName []byte) {
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key := (*[unsafe.Sizeof(metricID)]byte)(unsafe.Pointer(&metricID))
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db.s.metricNameCache.Set(key[:], metricName)
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}
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// maybeCreateIndexes probabilistically creates global and per-day indexes for already existing tsid.
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//
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// The tsid is obtained from the previous indexdb, new indexes are created in the current indexdb.
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//
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// The probability increases from 0 to 100% until the last hour of the indexdb rotation day.
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//
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// True is returned if new index entries were created, and false otherwise.
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func (is *indexSearch) maybeCreateIndexes(genTSID *generationTSID, metricNameRaw []byte, date uint64) (bool, error) {
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tsid := &genTSID.TSID
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currentTimestamp := fasttime.UnixTimestamp()
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if canPostponeIndexCreation(currentTimestamp, is.db.rotationTimestamp, date, tsid.MetricID) {
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// Fast path - postpone index creation
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return false, nil
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}
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// Slow path: create indexes for (tsid, metricNameRaw, date).
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mn := GetMetricName()
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if err := mn.UnmarshalRaw(metricNameRaw); err != nil {
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return false, fmt.Errorf("cannot unmarshal metricNameRaw %q: %w", metricNameRaw, err)
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}
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mn.sortTags()
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is.createGlobalIndexes(tsid, mn)
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is.createPerDayIndexes(date, tsid, mn)
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PutMetricName(mn)
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genTSID.generation = is.db.generation
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atomic.AddUint64(&is.db.timeseriesRepopulated, 1)
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return true, nil
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}
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func canPostponeIndexCreation(currentTimestamp, rotationTimestamp, date, metricID uint64) bool {
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if rotationTimestamp/(24*3600) != date {
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// The date doesn't match the day of the indexdb rotation.
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// This means that the previoud indexdb doesn't contain the needed indexes
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// for the given date, so index must be created in the current indexdb
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// in order to be able to find time series for the given date.
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return false
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}
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// Calculate the time window when the index creation can be postponed.
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// It starts just after the last indexdb rotation and ends one hour before the next day
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// after the indexdb rotation.
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d := rotationTimestamp % (24 * 3600)
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if d < 3600 {
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// The indexdb rotation occurred in less than an hour after the given date started.
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// This means that the previous indexdb may miss entries for the given date.
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// So index for the given date must be created in the current indexdb
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// in order to be able to find time series for the given date.
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return false
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}
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d = 24*3600 - d
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if d < 3600 {
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// The indexdb rotation occurred in less than an hour before the next date.
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// Index for the given date must be created in the current indexdb
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// in order to guarantee that it is created until the next date starts.
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return false
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}
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d -= 3600
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timeSinceRotation := currentTimestamp - rotationTimestamp
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if currentTimestamp < rotationTimestamp || timeSinceRotation > d {
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// The time window for postponing index creation is over.
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return false
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}
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// Calculate the probability of index creation for the given metricID
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pMin := uint64((float64(timeSinceRotation) / float64(d)) * (1 << 64))
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p := fastHashUint64(metricID)
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// If p is smaller than pMin, means the time window for creating the index is over.
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// Otherwise we still have some time for postponing index creation
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return p >= pMin
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}
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func marshalTagFiltersKey(dst []byte, tfss []*TagFilters, tr TimeRange, versioned bool) []byte {
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prefix := ^uint64(0)
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if versioned {
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prefix = atomic.LoadUint64(&tagFiltersKeyGen)
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}
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// Round start and end times to per-day granularity according to per-day inverted index.
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startDate := uint64(tr.MinTimestamp) / msecPerDay
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endDate := uint64(tr.MaxTimestamp-1) / msecPerDay
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dst = encoding.MarshalUint64(dst, prefix)
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dst = encoding.MarshalUint64(dst, startDate)
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dst = encoding.MarshalUint64(dst, endDate)
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for _, tfs := range tfss {
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dst = append(dst, 0) // separator between tfs groups.
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for i := range tfs.tfs {
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dst = tfs.tfs[i].Marshal(dst)
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}
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}
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return dst
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}
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|
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func invalidateTagFiltersCache() {
|
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// This function must be fast, since it is called each
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// time new timeseries is added.
|
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atomic.AddUint64(&tagFiltersKeyGen, 1)
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}
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|
|
var tagFiltersKeyGen uint64
|
|
|
|
func marshalMetricIDs(dst []byte, metricIDs []uint64) []byte {
|
|
dst = encoding.MarshalUint64(dst, uint64(len(metricIDs)))
|
|
if len(metricIDs) == 0 {
|
|
return dst
|
|
}
|
|
var buf []byte
|
|
sh := (*reflect.SliceHeader)(unsafe.Pointer(&buf))
|
|
sh.Data = uintptr(unsafe.Pointer(&metricIDs[0]))
|
|
sh.Cap = 8 * len(metricIDs)
|
|
sh.Len = sh.Cap
|
|
dst = append(dst, buf...)
|
|
return dst
|
|
}
|
|
|
|
func unmarshalMetricIDs(dst []uint64, src []byte) ([]uint64, error) {
|
|
if len(src)%8 != 0 {
|
|
return dst, fmt.Errorf("cannot unmarshal metricIDs from buffer of %d bytes; the buffer length must divide by 8", len(src))
|
|
}
|
|
if len(src) < 8 {
|
|
return dst, fmt.Errorf("cannot unmarshal metricIDs len from buffer of %d bytes; need at least 8 bytes", len(src))
|
|
}
|
|
n := encoding.UnmarshalUint64(src)
|
|
if n > ((1<<64)-1)/8 {
|
|
return dst, fmt.Errorf("unexpectedly high metricIDs len: %d bytes; must be lower than %d bytes", n, uint64(((1<<64)-1)/8))
|
|
}
|
|
src = src[8:]
|
|
if n*8 != uint64(len(src)) {
|
|
return dst, fmt.Errorf("unexpected buffer length for unmarshaling metricIDs; got %d bytes; want %d bytes", n*8, len(src))
|
|
}
|
|
if n == 0 {
|
|
return dst, nil
|
|
}
|
|
var metricIDs []uint64
|
|
sh := (*reflect.SliceHeader)(unsafe.Pointer(&metricIDs))
|
|
sh.Data = uintptr(unsafe.Pointer(&src[0]))
|
|
sh.Cap = sh.Len
|
|
sh.Len = len(src) / 8
|
|
dst = append(dst, metricIDs...)
|
|
return dst, nil
|
|
}
|
|
|
|
// getTSIDByMetricName fills the dst with TSID for the given metricName at the given date.
|
|
//
|
|
// It returns false if the given metricName isn't found in the indexdb.
|
|
func (is *indexSearch) getTSIDByMetricName(dst *generationTSID, metricName []byte, date uint64) bool {
|
|
if is.getTSIDByMetricNameNoExtDB(&dst.TSID, metricName, date) {
|
|
// Fast path - the TSID is found in the current indexdb.
|
|
dst.generation = is.db.generation
|
|
return true
|
|
}
|
|
|
|
// Slow path - search for the TSID in the previous indexdb
|
|
ok := false
|
|
deadline := is.deadline
|
|
is.db.doExtDB(func(extDB *indexDB) {
|
|
is := extDB.getIndexSearch(deadline)
|
|
ok = is.getTSIDByMetricNameNoExtDB(&dst.TSID, metricName, date)
|
|
extDB.putIndexSearch(is)
|
|
if ok {
|
|
dst.generation = extDB.generation
|
|
}
|
|
})
|
|
return ok
|
|
}
|
|
|
|
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 (date, metricName)
|
|
//
|
|
// The function creates new TSID and registers the metricName in global and per-day indexes
|
|
// if TSID for the given (date, metricName) isn't found.
|
|
func (is *indexSearch) GetOrCreateTSIDByName(dst *generationTSID, metricName, metricNameRaw []byte, date uint64) 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 {
|
|
if is.getTSIDByMetricName(dst, metricName, date) {
|
|
// Fast path - the TSID for the given metricName has been found in the index.
|
|
is.tsidByNameMisses = 0
|
|
if err := is.db.s.registerSeriesCardinality(dst.TSID.MetricID, metricNameRaw); err != nil {
|
|
return err
|
|
}
|
|
return nil
|
|
}
|
|
is.tsidByNameMisses++
|
|
} else {
|
|
is.tsidByNameSkips++
|
|
if is.tsidByNameSkips > 10000 {
|
|
is.tsidByNameSkips = 0
|
|
is.tsidByNameMisses = 0
|
|
}
|
|
}
|
|
|
|
// TSID for the given (date, metricName) wasn't found. Create it.
|
|
// It is OK if duplicate TSID for (date, metricName) is created by concurrent goroutines.
|
|
// Metric results will be merged by metricName at TableSearch.
|
|
if err := is.createTSIDByMetricName(&dst.TSID, metricName, metricNameRaw, date); err != nil {
|
|
userReadableMetricName := getUserReadableMetricName(metricNameRaw)
|
|
return fmt.Errorf("cannot create TSID by MetricName %s: %w", userReadableMetricName, err)
|
|
}
|
|
dst.generation = is.db.generation
|
|
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)
|
|
}
|
|
|
|
// createTSIDByMetricName creates new TSID for the given (date, metricName)
|
|
func (is *indexSearch) createTSIDByMetricName(dst *TSID, metricName, metricNameRaw []byte, date uint64) error {
|
|
mn := GetMetricName()
|
|
defer PutMetricName(mn)
|
|
if err := mn.Unmarshal(metricName); err != nil {
|
|
return fmt.Errorf("cannot unmarshal metricName %q: %w", metricName, err)
|
|
}
|
|
|
|
generateTSID(dst, mn)
|
|
if err := is.db.s.registerSeriesCardinality(dst.MetricID, metricNameRaw); err != nil {
|
|
return err
|
|
}
|
|
is.createGlobalIndexes(dst, mn)
|
|
is.createPerDayIndexes(date, dst, mn)
|
|
|
|
// There is no need in invalidating tag cache, since it is invalidated
|
|
// on db.tb flush via invalidateTagFiltersCache flushCallback passed to mergeset.MustOpenTable.
|
|
|
|
atomic.AddUint64(&is.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 generateTSID(dst *TSID, mn *MetricName) {
|
|
dst.MetricGroupID = xxhash.Sum64(mn.MetricGroup)
|
|
// Assume that the job-like metric is put at mn.Tags[0], while instance-like metric is put at mn.Tags[1]
|
|
// This assumption is true because mn.Tags must be sorted with mn.sortTags() before calling generateTSID() function.
|
|
// This allows grouping data blocks for the same (job, instance) close to each other on disk.
|
|
// This reduces disk seeks and disk read IO when data blocks are read from disk for the same job and/or instance.
|
|
// For example, data blocks for time series matching `process_resident_memory_bytes{job="vmstorage"}` are physically adjacent on disk.
|
|
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()
|
|
}
|
|
|
|
func (is *indexSearch) createGlobalIndexes(tsid *TSID, mn *MetricName) {
|
|
// The order of index items is important.
|
|
// It guarantees index consistency.
|
|
|
|
ii := getIndexItems()
|
|
defer putIndexItems(ii)
|
|
|
|
// 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)
|
|
|
|
is.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
|
|
|
|
// SearchLabelNamesWithFiltersOnTimeRange returns all the label names, which match the given tfss on the given tr.
|
|
func (db *indexDB) SearchLabelNamesWithFiltersOnTimeRange(qt *querytracer.Tracer, tfss []*TagFilters, tr TimeRange, maxLabelNames, maxMetrics int, deadline uint64) ([]string, error) {
|
|
qt = qt.NewChild("search for label names: filters=%s, timeRange=%s, maxLabelNames=%d, maxMetrics=%d", tfss, &tr, maxLabelNames, maxMetrics)
|
|
defer qt.Done()
|
|
lns := make(map[string]struct{})
|
|
qtChild := qt.NewChild("search for label names in the current indexdb")
|
|
is := db.getIndexSearch(deadline)
|
|
err := is.searchLabelNamesWithFiltersOnTimeRange(qtChild, lns, tfss, tr, maxLabelNames, maxMetrics)
|
|
db.putIndexSearch(is)
|
|
qtChild.Donef("found %d label names", len(lns))
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
db.doExtDB(func(extDB *indexDB) {
|
|
qtChild := qt.NewChild("search for label names in the previous indexdb")
|
|
lnsLen := len(lns)
|
|
is := extDB.getIndexSearch(deadline)
|
|
err = is.searchLabelNamesWithFiltersOnTimeRange(qtChild, lns, tfss, tr, maxLabelNames, maxMetrics)
|
|
extDB.putIndexSearch(is)
|
|
qtChild.Donef("found %d additional label names", len(lns)-lnsLen)
|
|
})
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
labelNames := make([]string, 0, len(lns))
|
|
for labelName := range lns {
|
|
labelNames = append(labelNames, labelName)
|
|
}
|
|
// Do not sort label names, since they must be sorted by vmselect.
|
|
qt.Printf("found %d label names in the current and the previous indexdb", len(labelNames))
|
|
return labelNames, nil
|
|
}
|
|
|
|
func (is *indexSearch) searchLabelNamesWithFiltersOnTimeRange(qt *querytracer.Tracer, lns map[string]struct{}, tfss []*TagFilters, tr TimeRange, maxLabelNames, maxMetrics int) error {
|
|
minDate := uint64(tr.MinTimestamp) / msecPerDay
|
|
maxDate := uint64(tr.MaxTimestamp-1) / msecPerDay
|
|
if maxDate == 0 || minDate > maxDate || maxDate-minDate > maxDaysForPerDaySearch {
|
|
qtChild := qt.NewChild("search for label names in global index: filters=%s", tfss)
|
|
err := is.searchLabelNamesWithFiltersOnDate(qtChild, lns, tfss, 0, maxLabelNames, maxMetrics)
|
|
qtChild.Done()
|
|
return err
|
|
}
|
|
var mu sync.Mutex
|
|
wg := getWaitGroup()
|
|
var errGlobal error
|
|
qt = qt.NewChild("parallel search for label names: filters=%s, timeRange=%s", tfss, &tr)
|
|
for date := minDate; date <= maxDate; date++ {
|
|
wg.Add(1)
|
|
qtChild := qt.NewChild("search for label names: filters=%s, date=%s", tfss, dateToString(date))
|
|
go func(date uint64) {
|
|
defer func() {
|
|
qtChild.Done()
|
|
wg.Done()
|
|
}()
|
|
lnsLocal := make(map[string]struct{})
|
|
isLocal := is.db.getIndexSearch(is.deadline)
|
|
err := isLocal.searchLabelNamesWithFiltersOnDate(qtChild, lnsLocal, tfss, date, maxLabelNames, maxMetrics)
|
|
is.db.putIndexSearch(isLocal)
|
|
mu.Lock()
|
|
defer mu.Unlock()
|
|
if errGlobal != nil {
|
|
return
|
|
}
|
|
if err != nil {
|
|
errGlobal = err
|
|
return
|
|
}
|
|
if len(lns) >= maxLabelNames {
|
|
return
|
|
}
|
|
for k := range lnsLocal {
|
|
lns[k] = struct{}{}
|
|
}
|
|
}(date)
|
|
}
|
|
wg.Wait()
|
|
putWaitGroup(wg)
|
|
qt.Done()
|
|
return errGlobal
|
|
}
|
|
|
|
func (is *indexSearch) searchLabelNamesWithFiltersOnDate(qt *querytracer.Tracer, lns map[string]struct{}, tfss []*TagFilters, date uint64, maxLabelNames, maxMetrics int) error {
|
|
filter, err := is.searchMetricIDsWithFiltersOnDate(qt, tfss, date, maxMetrics)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
if filter != nil && filter.Len() <= 100e3 {
|
|
// It is faster to obtain label names by metricIDs from the filter
|
|
// instead of scanning the inverted index for the matching filters.
|
|
// This would help https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2978
|
|
metricIDs := filter.AppendTo(nil)
|
|
qt.Printf("sort %d metricIDs", len(metricIDs))
|
|
return is.getLabelNamesForMetricIDs(qt, metricIDs, lns, maxLabelNames)
|
|
}
|
|
var prevLabelName []byte
|
|
ts := &is.ts
|
|
kb := &is.kb
|
|
mp := &is.mp
|
|
dmis := is.db.s.getDeletedMetricIDs()
|
|
loopsPaceLimiter := 0
|
|
underscoreNameSeen := false
|
|
nsPrefixExpected := byte(nsPrefixDateTagToMetricIDs)
|
|
if date == 0 {
|
|
nsPrefixExpected = nsPrefixTagToMetricIDs
|
|
}
|
|
kb.B = is.marshalCommonPrefixForDate(kb.B[:0], date)
|
|
prefix := kb.B
|
|
ts.Seek(prefix)
|
|
for len(lns) < maxLabelNames && 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, nsPrefixExpected); err != nil {
|
|
return err
|
|
}
|
|
if mp.GetMatchingSeriesCount(filter, dmis) == 0 {
|
|
continue
|
|
}
|
|
labelName := mp.Tag.Key
|
|
if len(labelName) == 0 {
|
|
underscoreNameSeen = true
|
|
}
|
|
if isArtificialTagKey(labelName) || string(labelName) == string(prevLabelName) {
|
|
// 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.marshalCommonPrefixForDate(kb.B[:0], date)
|
|
if len(labelName) > 0 && labelName[0] == compositeTagKeyPrefix {
|
|
// skip composite tag entries
|
|
kb.B = append(kb.B, compositeTagKeyPrefix)
|
|
} else {
|
|
kb.B = marshalTagValue(kb.B, labelName)
|
|
}
|
|
kb.B[len(kb.B)-1]++
|
|
ts.Seek(kb.B)
|
|
continue
|
|
}
|
|
lns[string(labelName)] = struct{}{}
|
|
prevLabelName = append(prevLabelName[:0], labelName...)
|
|
}
|
|
if underscoreNameSeen {
|
|
lns["__name__"] = struct{}{}
|
|
}
|
|
if err := ts.Error(); err != nil {
|
|
return fmt.Errorf("error during search for prefix %q: %w", prefix, err)
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func (is *indexSearch) getLabelNamesForMetricIDs(qt *querytracer.Tracer, metricIDs []uint64, lns map[string]struct{}, maxLabelNames int) error {
|
|
lns["__name__"] = struct{}{}
|
|
var mn MetricName
|
|
foundLabelNames := 0
|
|
var buf []byte
|
|
for _, metricID := range metricIDs {
|
|
var err error
|
|
buf, err = is.searchMetricNameWithCache(buf[: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(buf); err != nil {
|
|
return fmt.Errorf("cannot unmarshal metricName %q: %w", buf, err)
|
|
}
|
|
for _, tag := range mn.Tags {
|
|
_, ok := lns[string(tag.Key)]
|
|
if !ok {
|
|
foundLabelNames++
|
|
lns[string(tag.Key)] = struct{}{}
|
|
if len(lns) >= maxLabelNames {
|
|
qt.Printf("hit the limit on the number of unique label names: %d", maxLabelNames)
|
|
return nil
|
|
}
|
|
}
|
|
}
|
|
}
|
|
qt.Printf("get %d distinct label names from %d metricIDs", foundLabelNames, len(metricIDs))
|
|
return nil
|
|
}
|
|
|
|
// SearchLabelValuesWithFiltersOnTimeRange returns label values for the given labelName, tfss and tr.
|
|
func (db *indexDB) SearchLabelValuesWithFiltersOnTimeRange(qt *querytracer.Tracer, labelName string, tfss []*TagFilters, tr TimeRange,
|
|
maxLabelValues, maxMetrics int, deadline uint64) ([]string, error) {
|
|
qt = qt.NewChild("search for label values: labelName=%q, filters=%s, timeRange=%s, maxLabelNames=%d, maxMetrics=%d", labelName, tfss, &tr, maxLabelValues, maxMetrics)
|
|
defer qt.Done()
|
|
lvs := make(map[string]struct{})
|
|
qtChild := qt.NewChild("search for label values in the current indexdb")
|
|
is := db.getIndexSearch(deadline)
|
|
err := is.searchLabelValuesWithFiltersOnTimeRange(qtChild, lvs, labelName, tfss, tr, maxLabelValues, maxMetrics)
|
|
db.putIndexSearch(is)
|
|
qtChild.Donef("found %d label values", len(lvs))
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
db.doExtDB(func(extDB *indexDB) {
|
|
qtChild := qt.NewChild("search for label values in the previous indexdb")
|
|
lvsLen := len(lvs)
|
|
is := extDB.getIndexSearch(deadline)
|
|
err = is.searchLabelValuesWithFiltersOnTimeRange(qtChild, lvs, labelName, tfss, tr, maxLabelValues, maxMetrics)
|
|
extDB.putIndexSearch(is)
|
|
qtChild.Donef("found %d additional label values", len(lvs)-lvsLen)
|
|
})
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
labelValues := make([]string, 0, len(lvs))
|
|
for labelValue := range lvs {
|
|
if len(labelValue) == 0 {
|
|
// Skip empty values, since they have no any meaning.
|
|
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/600
|
|
continue
|
|
}
|
|
labelValues = append(labelValues, labelValue)
|
|
}
|
|
// Do not sort labelValues, since they must be sorted by vmselect.
|
|
qt.Printf("found %d label values in the current and the previous indexdb", len(labelValues))
|
|
return labelValues, nil
|
|
}
|
|
|
|
func (is *indexSearch) searchLabelValuesWithFiltersOnTimeRange(qt *querytracer.Tracer, lvs map[string]struct{}, labelName string, tfss []*TagFilters,
|
|
tr TimeRange, maxLabelValues, maxMetrics int) error {
|
|
minDate := uint64(tr.MinTimestamp) / msecPerDay
|
|
maxDate := uint64(tr.MaxTimestamp-1) / msecPerDay
|
|
if maxDate == 0 || minDate > maxDate || maxDate-minDate > maxDaysForPerDaySearch {
|
|
qtChild := qt.NewChild("search for label values in global index: labelName=%q, filters=%s", labelName, tfss)
|
|
err := is.searchLabelValuesWithFiltersOnDate(qtChild, lvs, labelName, tfss, 0, maxLabelValues, maxMetrics)
|
|
qtChild.Done()
|
|
return err
|
|
}
|
|
var mu sync.Mutex
|
|
wg := getWaitGroup()
|
|
var errGlobal error
|
|
qt = qt.NewChild("parallel search for label values: labelName=%q, filters=%s, timeRange=%s", labelName, tfss, &tr)
|
|
for date := minDate; date <= maxDate; date++ {
|
|
wg.Add(1)
|
|
qtChild := qt.NewChild("search for label names: filters=%s, date=%s", tfss, dateToString(date))
|
|
go func(date uint64) {
|
|
defer func() {
|
|
qtChild.Done()
|
|
wg.Done()
|
|
}()
|
|
lvsLocal := make(map[string]struct{})
|
|
isLocal := is.db.getIndexSearch(is.deadline)
|
|
err := isLocal.searchLabelValuesWithFiltersOnDate(qtChild, lvsLocal, labelName, tfss, date, maxLabelValues, maxMetrics)
|
|
is.db.putIndexSearch(isLocal)
|
|
mu.Lock()
|
|
defer mu.Unlock()
|
|
if errGlobal != nil {
|
|
return
|
|
}
|
|
if err != nil {
|
|
errGlobal = err
|
|
return
|
|
}
|
|
if len(lvs) >= maxLabelValues {
|
|
return
|
|
}
|
|
for v := range lvsLocal {
|
|
lvs[v] = struct{}{}
|
|
}
|
|
}(date)
|
|
}
|
|
wg.Wait()
|
|
putWaitGroup(wg)
|
|
qt.Done()
|
|
return errGlobal
|
|
}
|
|
|
|
func (is *indexSearch) searchLabelValuesWithFiltersOnDate(qt *querytracer.Tracer, lvs map[string]struct{}, labelName string, tfss []*TagFilters,
|
|
date uint64, maxLabelValues, maxMetrics int) error {
|
|
filter, err := is.searchMetricIDsWithFiltersOnDate(qt, tfss, date, maxMetrics)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
if filter != nil && filter.Len() < 100e3 {
|
|
// It is faster to obtain label values by metricIDs from the filter
|
|
// instead of scanning the inverted index for the matching filters.
|
|
// This would help https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2978
|
|
metricIDs := filter.AppendTo(nil)
|
|
qt.Printf("sort %d metricIDs", len(metricIDs))
|
|
return is.getLabelValuesForMetricIDs(qt, lvs, labelName, metricIDs, maxLabelValues)
|
|
}
|
|
if labelName == "__name__" {
|
|
// __name__ label is encoded as empty string in indexdb.
|
|
labelName = ""
|
|
}
|
|
labelNameBytes := bytesutil.ToUnsafeBytes(labelName)
|
|
var prevLabelValue []byte
|
|
ts := &is.ts
|
|
kb := &is.kb
|
|
mp := &is.mp
|
|
dmis := is.db.s.getDeletedMetricIDs()
|
|
loopsPaceLimiter := 0
|
|
nsPrefixExpected := byte(nsPrefixDateTagToMetricIDs)
|
|
if date == 0 {
|
|
nsPrefixExpected = nsPrefixTagToMetricIDs
|
|
}
|
|
kb.B = is.marshalCommonPrefixForDate(kb.B[:0], date)
|
|
kb.B = marshalTagValue(kb.B, labelNameBytes)
|
|
prefix := kb.B
|
|
ts.Seek(prefix)
|
|
for len(lvs) < maxLabelValues && 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, nsPrefixExpected); err != nil {
|
|
return err
|
|
}
|
|
if mp.GetMatchingSeriesCount(filter, dmis) == 0 {
|
|
continue
|
|
}
|
|
labelValue := mp.Tag.Value
|
|
if string(labelValue) == string(prevLabelValue) {
|
|
// 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.marshalCommonPrefixForDate(kb.B[:0], date)
|
|
kb.B = marshalTagValue(kb.B, labelNameBytes)
|
|
kb.B = marshalTagValue(kb.B, labelValue)
|
|
kb.B[len(kb.B)-1]++
|
|
ts.Seek(kb.B)
|
|
continue
|
|
}
|
|
lvs[string(labelValue)] = struct{}{}
|
|
prevLabelValue = append(prevLabelValue[:0], labelValue...)
|
|
}
|
|
if err := ts.Error(); err != nil {
|
|
return fmt.Errorf("error when searching for tag name prefix %q: %w", prefix, err)
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func (is *indexSearch) getLabelValuesForMetricIDs(qt *querytracer.Tracer, lvs map[string]struct{}, labelName string, metricIDs []uint64, maxLabelValues int) error {
|
|
if labelName == "" {
|
|
labelName = "__name__"
|
|
}
|
|
var mn MetricName
|
|
foundLabelValues := 0
|
|
var buf []byte
|
|
for _, metricID := range metricIDs {
|
|
var err error
|
|
buf, err = is.searchMetricNameWithCache(buf[: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(buf); err != nil {
|
|
return fmt.Errorf("cannot unmarshal metricName %q: %w", buf, err)
|
|
}
|
|
tagValue := mn.GetTagValue(labelName)
|
|
_, ok := lvs[string(tagValue)]
|
|
if !ok {
|
|
foundLabelValues++
|
|
lvs[string(tagValue)] = struct{}{}
|
|
if len(lvs) >= maxLabelValues {
|
|
qt.Printf("hit the limit on the number of unique label values for label %q: %d", labelName, maxLabelValues)
|
|
return nil
|
|
}
|
|
}
|
|
}
|
|
qt.Printf("get %d distinct values for label %q from %d metricIDs", foundLabelValues, labelName, len(metricIDs))
|
|
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(qt *querytracer.Tracer, tr TimeRange, tagKey, tagValuePrefix string, delimiter byte, maxTagValueSuffixes int, deadline uint64) ([]string, error) {
|
|
qt = qt.NewChild("search tag value suffixes for timeRange=%s, tagKey=%q, tagValuePrefix=%q, delimiter=%c, maxTagValueSuffixes=%d",
|
|
&tr, tagKey, tagValuePrefix, delimiter, maxTagValueSuffixes)
|
|
defer qt.Done()
|
|
|
|
// 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 {
|
|
db.doExtDB(func(extDB *indexDB) {
|
|
is := extDB.getIndexSearch(deadline)
|
|
qtChild := qt.NewChild("search tag value suffixes in the previous indexdb")
|
|
err = is.searchTagValueSuffixesForTimeRange(tvss, tr, tagKey, tagValuePrefix, delimiter, maxTagValueSuffixes)
|
|
qtChild.Done()
|
|
extDB.putIndexSearch(is)
|
|
})
|
|
if 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.
|
|
qt.Printf("found %d suffixes", len(suffixes))
|
|
return suffixes, nil
|
|
}
|
|
|
|
func (is *indexSearch) searchTagValueSuffixesForTimeRange(tvss map[string]struct{}, tr TimeRange, tagKey, tagValuePrefix string, delimiter byte, maxTagValueSuffixes int) error {
|
|
minDate := uint64(tr.MinTimestamp) / msecPerDay
|
|
maxDate := uint64(tr.MaxTimestamp-1) / msecPerDay
|
|
if minDate > maxDate || maxDate-minDate > maxDaysForPerDaySearch {
|
|
return is.searchTagValueSuffixesAll(tvss, tagKey, tagValuePrefix, delimiter, maxTagValueSuffixes)
|
|
}
|
|
// Query over multiple days in parallel.
|
|
wg := getWaitGroup()
|
|
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()
|
|
putWaitGroup(wg)
|
|
return errGlobal
|
|
}
|
|
|
|
func (is *indexSearch) searchTagValueSuffixesAll(tvss map[string]struct{}, tagKey, tagValuePrefix string, delimiter byte, maxTagValueSuffixes int) error {
|
|
kb := &is.kb
|
|
nsPrefix := byte(nsPrefixTagToMetricIDs)
|
|
kb.B = is.marshalCommonPrefix(kb.B[:0], nsPrefix)
|
|
kb.B = marshalTagValue(kb.B, bytesutil.ToUnsafeBytes(tagKey))
|
|
kb.B = marshalTagValue(kb.B, bytesutil.ToUnsafeBytes(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 string, 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, bytesutil.ToUnsafeBytes(tagKey))
|
|
kb.B = marshalTagValue(kb.B, bytesutil.ToUnsafeBytes(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
|
|
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.GetMatchingSeriesCount(nil, dmis) == 0 {
|
|
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
|
|
db.doExtDB(func(extDB *indexDB) {
|
|
is := extDB.getIndexSearch(deadline)
|
|
nExt, err = is.getSeriesCount()
|
|
extDB.putIndexSearch(is)
|
|
})
|
|
if 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
|
|
}
|
|
|
|
// GetTSDBStatus returns topN entries for tsdb status for the given tfss, date and focusLabel.
|
|
func (db *indexDB) GetTSDBStatus(qt *querytracer.Tracer, tfss []*TagFilters, date uint64, focusLabel string, topN, maxMetrics int, deadline uint64) (*TSDBStatus, error) {
|
|
qtChild := qt.NewChild("collect tsdb stats in the current indexdb")
|
|
is := db.getIndexSearch(deadline)
|
|
status, err := is.getTSDBStatus(qtChild, tfss, date, focusLabel, topN, maxMetrics)
|
|
qtChild.Done()
|
|
db.putIndexSearch(is)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if status.hasEntries() {
|
|
return status, nil
|
|
}
|
|
db.doExtDB(func(extDB *indexDB) {
|
|
qtChild := qt.NewChild("collect tsdb stats in the previous indexdb")
|
|
is := extDB.getIndexSearch(deadline)
|
|
status, err = is.getTSDBStatus(qtChild, tfss, date, focusLabel, topN, maxMetrics)
|
|
qtChild.Done()
|
|
extDB.putIndexSearch(is)
|
|
})
|
|
if err != nil {
|
|
return nil, fmt.Errorf("error when obtaining TSDB status from extDB: %w", err)
|
|
}
|
|
return status, nil
|
|
}
|
|
|
|
// getTSDBStatus returns topN entries for tsdb status for the given tfss, date and focusLabel.
|
|
func (is *indexSearch) getTSDBStatus(qt *querytracer.Tracer, tfss []*TagFilters, date uint64, focusLabel string, topN, maxMetrics int) (*TSDBStatus, error) {
|
|
filter, err := is.searchMetricIDsWithFiltersOnDate(qt, tfss, date, maxMetrics)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if filter != nil && filter.Len() == 0 {
|
|
qt.Printf("no matching series for filter=%s", tfss)
|
|
return &TSDBStatus{}, nil
|
|
}
|
|
ts := &is.ts
|
|
kb := &is.kb
|
|
mp := &is.mp
|
|
dmis := is.db.s.getDeletedMetricIDs()
|
|
thSeriesCountByMetricName := newTopHeap(topN)
|
|
thSeriesCountByLabelName := newTopHeap(topN)
|
|
thSeriesCountByFocusLabelValue := newTopHeap(topN)
|
|
thSeriesCountByLabelValuePair := newTopHeap(topN)
|
|
thLabelValueCountByLabelName := newTopHeap(topN)
|
|
var tmp, prevLabelName, prevLabelValuePair []byte
|
|
var labelValueCountByLabelName, seriesCountByLabelValuePair uint64
|
|
var totalSeries, labelSeries, totalLabelValuePairs uint64
|
|
nameEqualBytes := []byte("__name__=")
|
|
focusLabelEqualBytes := []byte(focusLabel + "=")
|
|
|
|
loopsPaceLimiter := 0
|
|
nsPrefixExpected := byte(nsPrefixDateTagToMetricIDs)
|
|
if date == 0 {
|
|
nsPrefixExpected = nsPrefixTagToMetricIDs
|
|
}
|
|
kb.B = is.marshalCommonPrefixForDate(kb.B[:0], 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
|
|
}
|
|
if err := mp.Init(item, nsPrefixExpected); err != nil {
|
|
return nil, err
|
|
}
|
|
matchingSeriesCount := mp.GetMatchingSeriesCount(filter, dmis)
|
|
if matchingSeriesCount == 0 {
|
|
// Skip rows without matching metricIDs.
|
|
continue
|
|
}
|
|
tmp = append(tmp[:0], mp.Tag.Key...)
|
|
labelName := tmp
|
|
if isArtificialTagKey(labelName) {
|
|
// Skip artificially created tag keys.
|
|
kb.B = append(kb.B[:0], prefix...)
|
|
if len(labelName) > 0 && labelName[0] == compositeTagKeyPrefix {
|
|
kb.B = append(kb.B, compositeTagKeyPrefix)
|
|
} else {
|
|
kb.B = marshalTagValue(kb.B, labelName)
|
|
}
|
|
kb.B[len(kb.B)-1]++
|
|
ts.Seek(kb.B)
|
|
continue
|
|
}
|
|
if len(labelName) == 0 {
|
|
labelName = append(labelName, "__name__"...)
|
|
tmp = labelName
|
|
}
|
|
if string(labelName) == "__name__" {
|
|
totalSeries += uint64(matchingSeriesCount)
|
|
}
|
|
tmp = append(tmp, '=')
|
|
tmp = append(tmp, mp.Tag.Value...)
|
|
labelValuePair := tmp
|
|
if len(prevLabelName) == 0 {
|
|
prevLabelName = append(prevLabelName[:0], labelName...)
|
|
}
|
|
if string(labelName) != string(prevLabelName) {
|
|
thLabelValueCountByLabelName.push(prevLabelName, labelValueCountByLabelName)
|
|
thSeriesCountByLabelName.push(prevLabelName, labelSeries)
|
|
labelSeries = 0
|
|
labelValueCountByLabelName = 0
|
|
prevLabelName = append(prevLabelName[:0], labelName...)
|
|
}
|
|
if len(prevLabelValuePair) == 0 {
|
|
prevLabelValuePair = append(prevLabelValuePair[:0], labelValuePair...)
|
|
labelValueCountByLabelName++
|
|
}
|
|
if string(labelValuePair) != string(prevLabelValuePair) {
|
|
thSeriesCountByLabelValuePair.push(prevLabelValuePair, seriesCountByLabelValuePair)
|
|
if bytes.HasPrefix(prevLabelValuePair, nameEqualBytes) {
|
|
thSeriesCountByMetricName.push(prevLabelValuePair[len(nameEqualBytes):], seriesCountByLabelValuePair)
|
|
}
|
|
if bytes.HasPrefix(prevLabelValuePair, focusLabelEqualBytes) {
|
|
thSeriesCountByFocusLabelValue.push(prevLabelValuePair[len(focusLabelEqualBytes):], seriesCountByLabelValuePair)
|
|
}
|
|
seriesCountByLabelValuePair = 0
|
|
labelValueCountByLabelName++
|
|
prevLabelValuePair = append(prevLabelValuePair[:0], labelValuePair...)
|
|
}
|
|
// It is OK if series can be counted multiple times in rare cases -
|
|
// the returned number is an estimation.
|
|
labelSeries += uint64(matchingSeriesCount)
|
|
seriesCountByLabelValuePair += uint64(matchingSeriesCount)
|
|
totalLabelValuePairs += uint64(matchingSeriesCount)
|
|
}
|
|
if err := ts.Error(); err != nil {
|
|
return nil, fmt.Errorf("error when counting time series by metric names: %w", err)
|
|
}
|
|
thLabelValueCountByLabelName.push(prevLabelName, labelValueCountByLabelName)
|
|
thSeriesCountByLabelName.push(prevLabelName, labelSeries)
|
|
thSeriesCountByLabelValuePair.push(prevLabelValuePair, seriesCountByLabelValuePair)
|
|
if bytes.HasPrefix(prevLabelValuePair, nameEqualBytes) {
|
|
thSeriesCountByMetricName.push(prevLabelValuePair[len(nameEqualBytes):], seriesCountByLabelValuePair)
|
|
}
|
|
if bytes.HasPrefix(prevLabelValuePair, focusLabelEqualBytes) {
|
|
thSeriesCountByFocusLabelValue.push(prevLabelValuePair[len(focusLabelEqualBytes):], seriesCountByLabelValuePair)
|
|
}
|
|
status := &TSDBStatus{
|
|
TotalSeries: totalSeries,
|
|
TotalLabelValuePairs: totalLabelValuePairs,
|
|
SeriesCountByMetricName: thSeriesCountByMetricName.getSortedResult(),
|
|
SeriesCountByLabelName: thSeriesCountByLabelName.getSortedResult(),
|
|
SeriesCountByFocusLabelValue: thSeriesCountByFocusLabelValue.getSortedResult(),
|
|
SeriesCountByLabelValuePair: thSeriesCountByLabelValuePair.getSortedResult(),
|
|
LabelValueCountByLabelName: thLabelValueCountByLabelName.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 {
|
|
TotalSeries uint64
|
|
TotalLabelValuePairs uint64
|
|
SeriesCountByMetricName []TopHeapEntry
|
|
SeriesCountByLabelName []TopHeapEntry
|
|
SeriesCountByFocusLabelValue []TopHeapEntry
|
|
SeriesCountByLabelValuePair []TopHeapEntry
|
|
LabelValueCountByLabelName []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) push(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.
|
|
db.deleteMetricIDs([]uint64{metricID})
|
|
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(qt *querytracer.Tracer, tfss []*TagFilters) (int, error) {
|
|
qt = qt.NewChild("deleting series for %s", tfss)
|
|
defer qt.Done()
|
|
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(qt, tfss, tr, 2e9)
|
|
db.putIndexSearch(is)
|
|
if err != nil {
|
|
return 0, err
|
|
}
|
|
db.deleteMetricIDs(metricIDs)
|
|
|
|
// Delete TSIDs in the extDB.
|
|
deletedCount := len(metricIDs)
|
|
db.doExtDB(func(extDB *indexDB) {
|
|
var n int
|
|
qtChild := qt.NewChild("deleting series from the previos indexdb")
|
|
n, err = extDB.DeleteTSIDs(qtChild, tfss)
|
|
qtChild.Donef("deleted %d series", n)
|
|
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) {
|
|
if len(metricIDs) == 0 {
|
|
// Nothing to delete
|
|
return
|
|
}
|
|
|
|
// 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.
|
|
invalidateTagFiltersCache()
|
|
|
|
// Reset MetricName -> TSID cache, since it may contain deleted TSIDs.
|
|
db.s.resetAndSaveTSIDCache()
|
|
|
|
// 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()
|
|
}
|
|
db.tb.AddItems(items.Items)
|
|
putIndexItems(items)
|
|
}
|
|
|
|
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
|
|
}
|
|
|
|
func (db *indexDB) searchMetricIDs(qt *querytracer.Tracer, tfss []*TagFilters, tr TimeRange, maxMetrics int, deadline uint64) ([]uint64, error) {
|
|
qt = qt.NewChild("search for matching metricIDs: filters=%s, timeRange=%s", tfss, &tr)
|
|
defer qt.Done()
|
|
|
|
if len(tfss) == 0 {
|
|
return nil, nil
|
|
}
|
|
if tr.MinTimestamp >= db.s.minTimestampForCompositeIndex {
|
|
tfss = convertToCompositeTagFilterss(tfss)
|
|
}
|
|
|
|
qtChild := qt.NewChild("search for metricIDs in the current indexdb")
|
|
tfKeyBuf := tagFiltersKeyBufPool.Get()
|
|
defer tagFiltersKeyBufPool.Put(tfKeyBuf)
|
|
|
|
tfKeyBuf.B = marshalTagFiltersKey(tfKeyBuf.B[:0], tfss, tr, true)
|
|
metricIDs, ok := db.getMetricIDsFromTagFiltersCache(qtChild, tfKeyBuf.B)
|
|
if ok {
|
|
// Fast path - metricIDs found in the cache
|
|
qtChild.Done()
|
|
return metricIDs, nil
|
|
}
|
|
|
|
// Slow path - search for metricIDs in the db and extDB.
|
|
is := db.getIndexSearch(deadline)
|
|
localMetricIDs, err := is.searchMetricIDs(qtChild, tfss, tr, maxMetrics)
|
|
db.putIndexSearch(is)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("error when searching for metricIDs in the current indexdb: %s", err)
|
|
}
|
|
qtChild.Done()
|
|
|
|
var extMetricIDs []uint64
|
|
db.doExtDB(func(extDB *indexDB) {
|
|
qtChild := qt.NewChild("search for metricIDs in the previous indexdb")
|
|
defer qtChild.Done()
|
|
|
|
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)
|
|
metricIDs, ok := extDB.getMetricIDsFromTagFiltersCache(qtChild, tfKeyExtBuf.B)
|
|
if ok {
|
|
extMetricIDs = metricIDs
|
|
return
|
|
}
|
|
is := extDB.getIndexSearch(deadline)
|
|
extMetricIDs, err = is.searchMetricIDs(qtChild, tfss, tr, maxMetrics)
|
|
extDB.putIndexSearch(is)
|
|
extDB.putMetricIDsToTagFiltersCache(qtChild, extMetricIDs, tfKeyExtBuf.B)
|
|
})
|
|
if err != nil {
|
|
return nil, fmt.Errorf("error when searching for metricIDs in the previous indexdb: %s", err)
|
|
}
|
|
|
|
// Merge localMetricIDs with extMetricIDs.
|
|
metricIDs = mergeSortedMetricIDs(localMetricIDs, extMetricIDs)
|
|
qt.Printf("merge %d metricIDs from the current indexdb with %d metricIDs from the previous indexdb; result: %d metricIDs",
|
|
len(localMetricIDs), len(extMetricIDs), len(metricIDs))
|
|
|
|
// Store metricIDs in the cache.
|
|
db.putMetricIDsToTagFiltersCache(qt, metricIDs, tfKeyBuf.B)
|
|
|
|
return metricIDs, nil
|
|
}
|
|
|
|
func mergeSortedMetricIDs(a, b []uint64) []uint64 {
|
|
if len(b) == 0 {
|
|
return a
|
|
}
|
|
i := 0
|
|
j := 0
|
|
result := make([]uint64, 0, len(a)+len(b))
|
|
for {
|
|
next := b[j]
|
|
start := i
|
|
for i < len(a) && a[i] <= next {
|
|
i++
|
|
}
|
|
result = append(result, a[start:i]...)
|
|
if len(result) > 0 {
|
|
last := result[len(result)-1]
|
|
for j < len(b) && b[j] == last {
|
|
j++
|
|
}
|
|
}
|
|
if i == len(a) {
|
|
return append(result, b[j:]...)
|
|
}
|
|
a, b = b, a
|
|
i, j = j, i
|
|
}
|
|
}
|
|
|
|
func (db *indexDB) getTSIDsFromMetricIDs(qt *querytracer.Tracer, metricIDs []uint64, deadline uint64) ([]TSID, error) {
|
|
qt = qt.NewChild("obtain tsids from %d metricIDs", len(metricIDs))
|
|
defer qt.Done()
|
|
|
|
if len(metricIDs) == 0 {
|
|
return nil, nil
|
|
}
|
|
tsids := make([]TSID, len(metricIDs))
|
|
var extMetricIDs []uint64
|
|
i := 0
|
|
err := func() error {
|
|
is := db.getIndexSearch(deadline)
|
|
defer db.putIndexSearch(is)
|
|
for loopsPaceLimiter, metricID := range metricIDs {
|
|
if loopsPaceLimiter&paceLimiterSlowIterationsMask == 0 {
|
|
if err := checkSearchDeadlineAndPace(is.deadline); err != nil {
|
|
return 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 err
|
|
}
|
|
if err := is.getTSIDByMetricID(tsid, metricID); err != nil {
|
|
if err == io.EOF {
|
|
// Postpone searching for the metricID in the extDB.
|
|
extMetricIDs = append(extMetricIDs, metricID)
|
|
continue
|
|
}
|
|
return fmt.Errorf("cannot find tsid %d out of %d for metricID %d: %w", i, len(metricIDs), metricID, err)
|
|
}
|
|
is.db.putToMetricIDCache(metricID, tsid)
|
|
i++
|
|
}
|
|
return nil
|
|
}()
|
|
if err != nil {
|
|
return nil, fmt.Errorf("error when searching for TISDs by metricIDs in the current indexdb: %w", err)
|
|
}
|
|
tsidsFound := i
|
|
qt.Printf("found %d tsids for %d metricIDs in the current indexdb", tsidsFound, len(metricIDs))
|
|
|
|
// Search for extMetricIDs in the extDB.
|
|
db.doExtDB(func(extDB *indexDB) {
|
|
is := extDB.getIndexSearch(deadline)
|
|
defer extDB.putIndexSearch(is)
|
|
for loopsPaceLimiter, metricID := range extMetricIDs {
|
|
if loopsPaceLimiter&paceLimiterSlowIterationsMask == 0 {
|
|
if err = checkSearchDeadlineAndPace(is.deadline); err != nil {
|
|
return
|
|
}
|
|
}
|
|
// There is no need in searching for TSIDs in MetricID->TSID cache, since
|
|
// this has been already done in the loop above (the MetricID->TSID cache is global).
|
|
tsid := &tsids[i]
|
|
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 for now.
|
|
atomic.AddUint64(&is.db.missingTSIDsForMetricID, 1)
|
|
err = nil
|
|
continue
|
|
}
|
|
err = fmt.Errorf("cannot find tsid for metricID=%d: %w", metricID, err)
|
|
return
|
|
}
|
|
is.db.putToMetricIDCache(metricID, tsid)
|
|
i++
|
|
}
|
|
})
|
|
if err != nil {
|
|
return nil, fmt.Errorf("error when searching for TSIDs by metricIDs in the previous indexdb: %w", err)
|
|
}
|
|
qt.Printf("found %d tsids for %d metricIDs in the previous indexdb", i-tsidsFound, len(extMetricIDs))
|
|
|
|
tsids = tsids[:i]
|
|
qt.Printf("load %d tsids for %d metricIDs from both current and previous indexdb", len(tsids), len(metricIDs))
|
|
|
|
// 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]) })
|
|
qt.Printf("sort %d tsids", len(tsids))
|
|
return tsids, nil
|
|
}
|
|
|
|
var tagFiltersKeyBufPool bytesutil.ByteBufferPool
|
|
|
|
func (is *indexSearch) getTSIDByMetricNameNoExtDB(dst *TSID, metricName []byte, date uint64) bool {
|
|
dmis := is.db.s.getDeletedMetricIDs()
|
|
ts := &is.ts
|
|
kb := &is.kb
|
|
kb.B = marshalCommonPrefix(kb.B[:0], nsPrefixDateMetricNameToTSID)
|
|
kb.B = encoding.MarshalUint64(kb.B, date)
|
|
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 false
|
|
}
|
|
v := ts.Item[len(kb.B):]
|
|
tail, err := dst.Unmarshal(v)
|
|
if err != nil {
|
|
logger.Panicf("FATAL: cannot unmarshal TSID: %s", err)
|
|
}
|
|
if len(tail) > 0 {
|
|
logger.Panicf("FATAL: 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 true
|
|
}
|
|
if err := ts.Error(); err != nil {
|
|
logger.Panicf("FATAL: error when searching TSID by metricName; searchPrefix %q: %s", kb.B, err)
|
|
}
|
|
// Nothing found
|
|
return false
|
|
}
|
|
|
|
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 (is *indexSearch) containsTimeRange(tr TimeRange) (bool, error) {
|
|
ts := &is.ts
|
|
kb := &is.kb
|
|
|
|
// Verify whether the tr.MinTimestamp is included into `ts` or is smaller than the minimum date stored in `ts`.
|
|
// Do not check whether tr.MaxTimestamp is included into `ts` or is bigger than the max date stored in `ts` for performance reasons.
|
|
// This means that containsTimeRange() can return true if `tr` is located below the min date stored in `ts`.
|
|
// This is OK, since this case isn't encountered too much in practice.
|
|
// The main practical case allows skipping searching in prev indexdb (`ts`) when `tr`
|
|
// is located above the max date stored there.
|
|
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) 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(qt *querytracer.Tracer, metricIDs, srcMetricIDs *uint64set.Set, tfs []*tagFilter) error {
|
|
qt = qt.NewChild("filter out %d metric ids with filters=%s", srcMetricIDs.Len(), tfs)
|
|
defer qt.Done()
|
|
|
|
// sort srcMetricIDs in order to speed up Seek below.
|
|
sortedMetricIDs := srcMetricIDs.AppendTo(nil)
|
|
qt.Printf("sort %d metric ids", len(sortedMetricIDs))
|
|
|
|
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)
|
|
}
|
|
qt.Printf("apply filters %s; resulting metric ids: %d", tfs, metricIDs.Len())
|
|
return 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.isNegative && !tf.isEmptyMatch) {
|
|
// tf contains positive empty-match filter for non-existing tag key, i.e.
|
|
// {non_existing_tag_key=~"foobar|"}
|
|
//
|
|
// OR
|
|
//
|
|
// 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 and
|
|
// https://github.com/VictoriaMetrics/VictoriaMetrics/issues/2255 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) searchMetricIDsWithFiltersOnDate(qt *querytracer.Tracer, tfss []*TagFilters, date uint64, maxMetrics int) (*uint64set.Set, error) {
|
|
if len(tfss) == 0 {
|
|
return nil, nil
|
|
}
|
|
tr := TimeRange{
|
|
MinTimestamp: int64(date) * msecPerDay,
|
|
MaxTimestamp: int64(date+1)*msecPerDay - 1,
|
|
}
|
|
if date == 0 {
|
|
// Search for metricIDs on the whole time range.
|
|
tr.MaxTimestamp = timestampFromTime(time.Now())
|
|
}
|
|
metricIDs, err := is.searchMetricIDsInternal(qt, tfss, tr, maxMetrics)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
return metricIDs, nil
|
|
}
|
|
|
|
func (is *indexSearch) searchMetricIDs(qt *querytracer.Tracer, tfss []*TagFilters, tr TimeRange, maxMetrics int) ([]uint64, 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.searchMetricIDsInternal(qt, tfss, tr, maxMetrics)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if metricIDs.Len() == 0 {
|
|
// Nothing found
|
|
return nil, nil
|
|
}
|
|
|
|
sortedMetricIDs := metricIDs.AppendTo(nil)
|
|
qt.Printf("sort %d matching metric ids", len(sortedMetricIDs))
|
|
|
|
// 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)
|
|
}
|
|
}
|
|
qt.Printf("left %d metric ids after removing deleted metric ids", len(metricIDsFiltered))
|
|
sortedMetricIDs = metricIDsFiltered
|
|
}
|
|
|
|
return sortedMetricIDs, nil
|
|
}
|
|
|
|
func (is *indexSearch) searchMetricIDsInternal(qt *querytracer.Tracer, tfss []*TagFilters, tr TimeRange, maxMetrics int) (*uint64set.Set, error) {
|
|
qt = qt.NewChild("search for metric ids: filters=%s, timeRange=%s, maxMetrics=%d", tfss, &tr, maxMetrics)
|
|
defer qt.Done()
|
|
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)
|
|
}
|
|
}
|
|
qtChild := qt.NewChild("update metric ids: filters=%s, timeRange=%s", tfs, &tr)
|
|
prevMetricIDsLen := metricIDs.Len()
|
|
err := is.updateMetricIDsForTagFilters(qtChild, metricIDs, tfs, tr, maxMetrics+1)
|
|
qtChild.Donef("updated %d metric ids", metricIDs.Len()-prevMetricIDsLen)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if metricIDs.Len() > maxMetrics {
|
|
return nil, fmt.Errorf("the number of matching timeseries exceeds %d; either narrow down the search "+
|
|
"or increase -search.max* command-line flag values at vmselect; see https://docs.victoriametrics.com/#resource-usage-limits", maxMetrics)
|
|
}
|
|
}
|
|
return metricIDs, nil
|
|
}
|
|
|
|
func (is *indexSearch) updateMetricIDsForTagFilters(qt *querytracer.Tracer, metricIDs *uint64set.Set, tfs *TagFilters, tr TimeRange, maxMetrics int) error {
|
|
err := is.tryUpdatingMetricIDsForDateRange(qt, 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 - fall back to search in the global inverted index.
|
|
qt.Printf("cannot find metric ids in per-day index; fall back to global index")
|
|
atomic.AddUint64(&is.db.globalSearchCalls, 1)
|
|
m, err := is.getMetricIDsForDateAndFilters(qt, 0, tfs, maxMetrics)
|
|
if err != nil {
|
|
if errors.Is(err, errFallbackToGlobalSearch) {
|
|
return fmt.Errorf("the number of matching timeseries exceeds %d; either narrow down the search "+
|
|
"or increase -search.max* command-line flag values at vmselect", maxMetrics)
|
|
}
|
|
return err
|
|
}
|
|
metricIDs.UnionMayOwn(m)
|
|
return nil
|
|
}
|
|
|
|
func (is *indexSearch) getMetricIDsForTagFilter(qt *querytracer.Tracer, 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.updateMetricIDsForOrSuffixes(tf, metricIDs, maxMetrics, maxLoopsCount)
|
|
qt.Printf("found %d metric ids for filter={%s} using exact search; spent %d loops", metricIDs.Len(), tf, loopsCount)
|
|
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.
|
|
loopsCount, err := is.getMetricIDsForTagFilterSlow(tf, metricIDs.Add, maxLoopsCount)
|
|
qt.Printf("found %d metric ids for filter={%s} using prefix search; spent %d loops", metricIDs.Len(), tf, loopsCount)
|
|
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, 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
|
|
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 {
|
|
f(metricID)
|
|
}
|
|
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 {
|
|
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) updateMetricIDsForOrSuffixes(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.updateMetricIDsForOrSuffix(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) updateMetricIDsForOrSuffix(prefix []byte, metricIDs *uint64set.Set, maxMetrics int, maxLoopsCount int64) (int64, error) {
|
|
ts := &is.ts
|
|
mp := &is.mp
|
|
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
|
|
}
|
|
|
|
var errFallbackToGlobalSearch = errors.New("fall back from per-day index search to global index search")
|
|
|
|
const maxDaysForPerDaySearch = 40
|
|
|
|
func (is *indexSearch) tryUpdatingMetricIDsForDateRange(qt *querytracer.Tracer, 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-1) / 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(qt, 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.
|
|
qt = qt.NewChild("parallel search for metric ids in per-day index: filters=%s, dayRange=[%d..%d]", tfs, minDate, maxDate)
|
|
defer qt.Done()
|
|
wg := getWaitGroup()
|
|
var errGlobal error
|
|
var mu sync.Mutex // protects metricIDs + errGlobal vars from concurrent access below
|
|
for minDate <= maxDate {
|
|
qtChild := qt.NewChild("parallel thread for date=%s", dateToString(minDate))
|
|
wg.Add(1)
|
|
go func(date uint64) {
|
|
defer func() {
|
|
qtChild.Done()
|
|
wg.Done()
|
|
}()
|
|
isLocal := is.db.getIndexSearch(is.deadline)
|
|
m, err := isLocal.getMetricIDsForDateAndFilters(qtChild, 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()
|
|
putWaitGroup(wg)
|
|
if errGlobal != nil {
|
|
return errGlobal
|
|
}
|
|
atomic.AddUint64(&is.db.dateRangeSearchHits, 1)
|
|
return nil
|
|
}
|
|
|
|
func (is *indexSearch) getMetricIDsForDateAndFilters(qt *querytracer.Tracer, date uint64, tfs *TagFilters, maxMetrics int) (*uint64set.Set, error) {
|
|
if qt.Enabled() {
|
|
qt = qt.NewChild("search for metric ids on a particular day: filters=%s, date=%s, maxMetrics=%d", tfs, dateToString(date), maxMetrics)
|
|
defer qt.Done()
|
|
}
|
|
// 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 smallest cost.
|
|
qtChild := qt.NewChild("search for the first non-negative filter with the smallest cost")
|
|
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 || tf.isEmptyMatch {
|
|
tfwsRemaining = append(tfwsRemaining, tfw)
|
|
continue
|
|
}
|
|
maxLoopsCount := getFirstPositiveLoopsCount(tfws[i+1:])
|
|
m, loopsCount, err := is.getMetricIDsForDateTagFilter(qtChild, 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.
|
|
qtChild.Printf("the filter={%s} took more than %d loops; postpone it", tf, maxLoopsCount)
|
|
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.
|
|
qtChild.Printf("the filter={%s} matches at least %d series; postpone it", tf, maxDateMetrics)
|
|
storeLoopsCount(&tfw, int64Max-1)
|
|
tfwsRemaining = append(tfwsRemaining, tfw)
|
|
continue
|
|
}
|
|
storeLoopsCount(&tfw, loopsCount)
|
|
metricIDs = m
|
|
tfwsRemaining = append(tfwsRemaining, tfws[i+1:]...)
|
|
qtChild.Printf("the filter={%s} matches less than %d series (actually %d series); use it", tf, maxDateMetrics, metricIDs.Len())
|
|
break
|
|
}
|
|
qtChild.Done()
|
|
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.
|
|
qt.Printf("all the filters are negative or match more than %d time series; fall back to searching for all the metric ids", maxDateMetrics)
|
|
m, err := is.getMetricIDsForDate(date, maxDateMetrics)
|
|
if err != 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
|
|
qt.Printf("found %d metric ids", metricIDs.Len())
|
|
}
|
|
|
|
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 initial 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.
|
|
qtChild = qt.NewChild("intersect the remaining %d filters with the found %d metric ids", len(tfws), metricIDs.Len())
|
|
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(qtChild, 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.
|
|
qtChild.Printf("postpone filter={%s}, since it took more than %d loops", tf, maxLoopsCount)
|
|
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 || tf.isEmptyMatch {
|
|
metricIDs.Subtract(m)
|
|
qtChild.Printf("subtract %d metric ids from the found %d metric ids for filter={%s}; resulting metric ids: %d", m.Len(), metricIDsLen, tf, metricIDs.Len())
|
|
} else {
|
|
metricIDs.Intersect(m)
|
|
qtChild.Printf("intersect %d metric ids with the found %d metric ids for filter={%s}; resulting metric ids: %d", m.Len(), metricIDsLen, tf, metricIDs.Len())
|
|
}
|
|
}
|
|
qtChild.Done()
|
|
if metricIDs.Len() == 0 {
|
|
// There is no need in applying tfsPostponed, since the result is empty.
|
|
qt.Printf("found zero metric ids")
|
|
return nil, nil
|
|
}
|
|
if len(tfsPostponed) > 0 {
|
|
// Apply the postponed filters via metricName match.
|
|
qt.Printf("apply postponed filters=%s to %d metrics ids", tfsPostponed, metricIDs.Len())
|
|
var m uint64set.Set
|
|
if err := is.updateMetricIDsByMetricNameMatch(qt, &m, metricIDs, tfsPostponed); err != nil {
|
|
return nil, err
|
|
}
|
|
return &m, nil
|
|
}
|
|
qt.Printf("found %d metric ids", metricIDs.Len())
|
|
return metricIDs, nil
|
|
}
|
|
|
|
const (
|
|
intMax = int((^uint(0)) >> 1)
|
|
int64Max = int64((1 << 63) - 1)
|
|
)
|
|
|
|
func (is *indexSearch) createPerDayIndexes(date uint64, tsid *TSID, mn *MetricName) {
|
|
ii := getIndexItems()
|
|
defer putIndexItems(ii)
|
|
|
|
ii.B = marshalCommonPrefix(ii.B, nsPrefixDateToMetricID)
|
|
ii.B = encoding.MarshalUint64(ii.B, date)
|
|
ii.B = encoding.MarshalUint64(ii.B, tsid.MetricID)
|
|
ii.Next()
|
|
|
|
// Create per-day inverted index entries for TSID.
|
|
ii.B = marshalCommonPrefix(ii.B, nsPrefixDateMetricNameToTSID)
|
|
ii.B = encoding.MarshalUint64(ii.B, date)
|
|
ii.B = mn.Marshal(ii.B)
|
|
ii.B = append(ii.B, kvSeparatorChar)
|
|
ii.B = tsid.Marshal(ii.B)
|
|
ii.Next()
|
|
|
|
// Create per-day inverted index entries for metricID.
|
|
kb := kbPool.Get()
|
|
defer kbPool.Put(kb)
|
|
kb.B = marshalCommonPrefix(kb.B[:0], nsPrefixDateTagToMetricIDs)
|
|
kb.B = encoding.MarshalUint64(kb.B, date)
|
|
ii.registerTagIndexes(kb.B, mn, tsid.MetricID)
|
|
is.db.tb.AddItems(ii.Items)
|
|
|
|
// Register the (date, metricID) entry in the cache,
|
|
// so next time the entry is found there instead of searching for it in the indexdb.
|
|
is.db.s.dateMetricIDCache.Set(date, tsid.MetricID)
|
|
}
|
|
|
|
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 unmarshalCompositeTagKey(src []byte) ([]byte, []byte, error) {
|
|
if len(src) == 0 {
|
|
return nil, nil, fmt.Errorf("composite tag key cannot be empty")
|
|
}
|
|
if src[0] != compositeTagKeyPrefix {
|
|
return nil, nil, fmt.Errorf("missing composite tag key prefix in %q", src)
|
|
}
|
|
src = src[1:]
|
|
tail, n, err := encoding.UnmarshalVarUint64(src)
|
|
if err != nil {
|
|
return nil, nil, fmt.Errorf("cannot unmarshal metric name length from composite tag key: %w", err)
|
|
}
|
|
src = tail
|
|
if uint64(len(src)) < n {
|
|
return nil, nil, fmt.Errorf("missing metric name with length %d in composite tag key %q", n, src)
|
|
}
|
|
name := src[:n]
|
|
key := src[n:]
|
|
return name, key, nil
|
|
}
|
|
|
|
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 {
|
|
if is.hasDateMetricIDNoExtDB(date, metricID) {
|
|
// Fast path - the (date, metricID) entry is found in the current indexdb.
|
|
return true
|
|
}
|
|
|
|
// Slow path - search for the (date, metricID) in the previous indexdb.
|
|
ok := false
|
|
deadline := is.deadline
|
|
is.db.doExtDB(func(extDB *indexDB) {
|
|
is := extDB.getIndexSearch(deadline)
|
|
ok = is.hasDateMetricIDNoExtDB(date, metricID)
|
|
extDB.putIndexSearch(is)
|
|
})
|
|
return ok
|
|
}
|
|
|
|
func (is *indexSearch) hasDateMetricIDNoExtDB(date, metricID uint64) bool {
|
|
ts := &is.ts
|
|
kb := &is.kb
|
|
kb.B = marshalCommonPrefix(kb.B[:0], nsPrefixDateToMetricID)
|
|
kb.B = encoding.MarshalUint64(kb.B, date)
|
|
kb.B = encoding.MarshalUint64(kb.B, metricID)
|
|
err := ts.FirstItemWithPrefix(kb.B)
|
|
if err == nil {
|
|
if string(ts.Item) != string(kb.B) {
|
|
logger.Panicf("FATAL: unexpected entry for (date=%s, metricID=%d); got %q; want %q", dateToString(date), metricID, ts.Item, kb.B)
|
|
}
|
|
// Fast path - the (date, metricID) entry is found in the current indexdb.
|
|
return true
|
|
}
|
|
if err != io.EOF {
|
|
logger.Panicf("FATAL: unexpected error when searching for (date=%s, metricID=%d) entry: %s", dateToString(date), metricID, err)
|
|
}
|
|
return false
|
|
}
|
|
|
|
func (is *indexSearch) getMetricIDsForDateTagFilter(qt *querytracer.Tracer, tf *tagFilter, date uint64, commonPrefix []byte,
|
|
maxMetrics int, maxLoopsCount int64) (*uint64set.Set, int64, error) {
|
|
if qt.Enabled() {
|
|
qt = qt.NewChild("get metric ids for filter and date: filter={%s}, date=%s, maxMetrics=%d, maxLoopsCount=%d", tf, dateToString(date), maxMetrics, maxLoopsCount)
|
|
defer qt.Done()
|
|
}
|
|
if !bytes.HasPrefix(tf.prefix, commonPrefix) {
|
|
logger.Panicf("BUG: unexpected tf.prefix %q; must start with commonPrefix %q", tf.prefix, commonPrefix)
|
|
}
|
|
kb := kbPool.Get()
|
|
defer kbPool.Put(kb)
|
|
kb.B = is.marshalCommonPrefixForDate(kb.B[:0], date)
|
|
prefix := kb.B
|
|
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(qt, &tfNew, maxMetrics, maxLoopsCount)
|
|
if err != nil {
|
|
return nil, loopsCount, err
|
|
}
|
|
if tf.isNegative || !tf.isEmptyMatch {
|
|
return metricIDs, loopsCount, nil
|
|
}
|
|
// The tag filter, which matches empty label such as {foo=~"bar|"}
|
|
// Convert it to negative filter, which matches {foo=~".+",foo!~"bar|"}.
|
|
// This fixes https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1601
|
|
// See also https://github.com/VictoriaMetrics/VictoriaMetrics/issues/395
|
|
maxLoopsCount -= loopsCount
|
|
var tfGross tagFilter
|
|
if err := tfGross.Init(prefix, tf.key, []byte(".+"), false, true); err != nil {
|
|
logger.Panicf(`BUG: cannot init tag filter: {%q=~".+"}: %s`, tf.key, err)
|
|
}
|
|
m, lc, err := is.getMetricIDsForTagFilter(qt, &tfGross, maxMetrics, maxLoopsCount)
|
|
loopsCount += lc
|
|
if err != nil {
|
|
return nil, loopsCount, err
|
|
}
|
|
mLen := m.Len()
|
|
m.Subtract(metricIDs)
|
|
qt.Printf("subtract %d metric ids for filter={%s} from %d metric ids for filter={%s}", metricIDs.Len(), &tfNew, mLen, &tfGross)
|
|
qt.Printf("found %d metric ids, spent %d loops", m.Len(), loopsCount)
|
|
return m, loopsCount, nil
|
|
}
|
|
|
|
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.marshalCommonPrefixForDate(kb.B[:0], 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) 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
|
|
|
|
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 (is *indexSearch) marshalCommonPrefixForDate(dst []byte, date uint64) []byte {
|
|
if date == 0 {
|
|
// Global index
|
|
return is.marshalCommonPrefix(dst, nsPrefixTagToMetricIDs)
|
|
}
|
|
// Per-day index
|
|
dst = is.marshalCommonPrefix(dst, nsPrefixDateTagToMetricIDs)
|
|
return encoding.MarshalUint64(dst, date)
|
|
}
|
|
|
|
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
|
|
|
|
// metricIDsParsed is set to true after ParseMetricIDs call
|
|
metricIDsParsed bool
|
|
|
|
// 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.metricIDsParsed = false
|
|
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
|
|
mp.metricIDsParsed = false
|
|
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
|
|
}
|
|
|
|
// 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() {
|
|
if mp.metricIDsParsed {
|
|
return
|
|
}
|
|
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:]
|
|
}
|
|
mp.metricIDsParsed = true
|
|
}
|
|
|
|
// GetMatchingSeriesCount returns the number of series in mp, which match metricIDs from the given filter
|
|
// and do not match metricIDs from negativeFilter.
|
|
//
|
|
// if filter is empty, then all series in mp are taken into account.
|
|
func (mp *tagToMetricIDsRowParser) GetMatchingSeriesCount(filter, negativeFilter *uint64set.Set) int {
|
|
if filter == nil && negativeFilter.Len() == 0 {
|
|
return mp.MetricIDsLen()
|
|
}
|
|
mp.ParseMetricIDs()
|
|
n := 0
|
|
for _, metricID := range mp.MetricIDs {
|
|
if filter != nil && !filter.Has(metricID) {
|
|
continue
|
|
}
|
|
if !negativeFilter.Has(metricID) {
|
|
n++
|
|
}
|
|
}
|
|
return n
|
|
}
|
|
|
|
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
|