mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
synced 2024-11-21 14:44:00 +00:00
83aca79137
Newly added index entries can be missing after unclean shutdown, since they didn't flush to persistent storage yet. Log about this and delete the corresponding metricID, so it could be re-created next time.
3168 lines
93 KiB
Go
3168 lines
93 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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"sort"
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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/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/uint64set"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/workingsetcache"
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"github.com/VictoriaMetrics/fastcache"
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xxhash "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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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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)
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func shouldCacheBlock(item []byte) bool {
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if len(item) == 0 {
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return true
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}
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// Do not cache items starting from
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switch item[0] {
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case nsPrefixTagToMetricIDs, nsPrefixDateTagToMetricIDs:
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// Do not cache blocks with tag->metricIDs and (date,tag)->metricIDs items, since:
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// - these blocks are scanned sequentially, so the overhead
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// on their unmarshaling is amortized by the sequential scan.
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// - these blocks can occupy high amounts of RAM in cache
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// and evict other frequently accessed blocks.
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return false
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case nsPrefixDeletedMetricID:
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// Do not cache blocks with deleted metricIDs,
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// since these metricIDs are loaded only once during app start.
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return false
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default:
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return true
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}
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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 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 to search for metric ids for recent hours.
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recentHourMetricIDsSearchCalls uint64
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// The number of cache hits during search for metric ids in recent hours.
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recentHourMetricIDsSearchHits uint64
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// The number of searches for metric ids by days.
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dateMetricIDsSearchCalls uint64
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// The number of successful searches for metric ids by days.
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dateMetricIDsSearchHits 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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// 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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// Start date fully covered by per-day inverted index.
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startDateForPerDayInvertedIndex 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 -> TSIDs lookup.
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tagCache *workingsetcache.Cache
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// Cache for fast MetricID -> TSID lookup.
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metricIDCache *workingsetcache.Cache
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// Cache for fast MetricID -> MetricName lookup.
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metricNameCache *workingsetcache.Cache
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// Cache for useless TagFilters entries, which have no tag filters
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// matching low number of metrics.
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uselessTagFiltersCache *workingsetcache.Cache
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// Cache for (date, tagFilter) -> metricIDsLen, which is used for reducing
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// the amount of work when matching a set of filters.
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metricIDsPerDateTagFilterCache *workingsetcache.Cache
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indexSearchPool sync.Pool
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// An inmemory set of deleted metricIDs.
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//
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// The set holds deleted metricIDs for the current db and for the extDB.
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//
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// It is safe to keep the set in memory even for big number of deleted
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// metricIDs, since it usually requires 1 bit per deleted metricID.
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deletedMetricIDs atomic.Value
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deletedMetricIDsUpdateLock sync.Mutex
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// Global lists of metric ids for the current and the previous hours.
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// They are used for fast lookups on small time ranges covering
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// up to two last hours.
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currHourMetricIDs *atomic.Value
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prevHourMetricIDs *atomic.Value
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}
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// openIndexDB opens index db from the given path with the given caches.
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func openIndexDB(path string, metricIDCache, metricNameCache *workingsetcache.Cache, currHourMetricIDs, prevHourMetricIDs *atomic.Value) (*indexDB, error) {
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if metricIDCache == nil {
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logger.Panicf("BUG: metricIDCache must be non-nil")
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}
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if metricNameCache == nil {
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logger.Panicf("BUG: metricNameCache must be non-nil")
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}
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if currHourMetricIDs == nil {
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logger.Panicf("BUG: currHourMetricIDs must be non-nil")
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}
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if prevHourMetricIDs == nil {
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logger.Panicf("BUG: prevHourMetricIDs must be non-nil")
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}
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tb, err := mergeset.OpenTable(path, invalidateTagCache, mergeTagToMetricIDsRows)
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if err != nil {
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return nil, fmt.Errorf("cannot open indexDB %q: %s", path, err)
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}
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name := filepath.Base(path)
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// Do not persist tagCache in files, since it is very volatile.
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mem := memory.Allowed()
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db := &indexDB{
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refCount: 1,
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tb: tb,
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name: name,
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tagCache: workingsetcache.New(mem/32, time.Hour),
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metricIDCache: metricIDCache,
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metricNameCache: metricNameCache,
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uselessTagFiltersCache: workingsetcache.New(mem/128, time.Hour),
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metricIDsPerDateTagFilterCache: workingsetcache.New(mem/128, time.Hour),
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currHourMetricIDs: currHourMetricIDs,
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prevHourMetricIDs: prevHourMetricIDs,
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}
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is := db.getIndexSearch()
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dmis, err := is.loadDeletedMetricIDs()
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db.putIndexSearch(is)
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if err != nil {
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return nil, fmt.Errorf("cannot load deleted metricIDs: %s", err)
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}
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db.setDeletedMetricIDs(dmis)
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is = db.getIndexSearch()
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date, err := is.getStartDateForPerDayInvertedIndex()
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db.putIndexSearch(is)
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if err != nil {
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return nil, fmt.Errorf("cannot obtain start date for per-day inverted index: %s", err)
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}
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db.startDateForPerDayInvertedIndex = date
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return db, nil
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}
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// IndexDBMetrics contains essential metrics for indexDB.
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type IndexDBMetrics struct {
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TagCacheSize uint64
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TagCacheSizeBytes uint64
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TagCacheRequests uint64
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TagCacheMisses uint64
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UselessTagFiltersCacheSize uint64
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UselessTagFiltersCacheSizeBytes uint64
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UselessTagFiltersCacheRequests uint64
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UselessTagFiltersCacheMisses uint64
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DeletedMetricsCount uint64
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IndexDBRefCount uint64
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NewTimeseriesCreated uint64
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MissingTSIDsForMetricID uint64
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RecentHourMetricIDsSearchCalls uint64
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RecentHourMetricIDsSearchHits uint64
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DateMetricIDsSearchCalls uint64
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DateMetricIDsSearchHits uint64
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DateRangeSearchCalls uint64
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DateRangeSearchHits uint64
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MissingMetricNamesForMetricID uint64
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IndexBlocksWithMetricIDsProcessed uint64
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IndexBlocksWithMetricIDsIncorrectOrder 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.tagCache.UpdateStats(&cs)
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m.TagCacheSize += cs.EntriesCount
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m.TagCacheSizeBytes += cs.BytesSize
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m.TagCacheRequests += cs.GetBigCalls
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m.TagCacheMisses += cs.Misses
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cs.Reset()
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db.uselessTagFiltersCache.UpdateStats(&cs)
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m.UselessTagFiltersCacheSize += cs.EntriesCount
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m.UselessTagFiltersCacheSizeBytes += cs.BytesSize
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m.UselessTagFiltersCacheRequests += cs.GetCalls
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m.UselessTagFiltersCacheMisses += cs.Misses
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m.DeletedMetricsCount += uint64(db.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.MissingTSIDsForMetricID += atomic.LoadUint64(&db.missingTSIDsForMetricID)
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m.RecentHourMetricIDsSearchCalls += atomic.LoadUint64(&db.recentHourMetricIDsSearchCalls)
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m.RecentHourMetricIDsSearchHits += atomic.LoadUint64(&db.recentHourMetricIDsSearchHits)
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m.DateMetricIDsSearchCalls += atomic.LoadUint64(&db.dateMetricIDsSearchCalls)
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m.DateMetricIDsSearchHits += atomic.LoadUint64(&db.dateMetricIDsSearchHits)
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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.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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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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// Add deleted metricIDs from extDB to db.
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if extDB != nil {
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dmisExt := extDB.getDeletedMetricIDs()
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db.updateDeletedMetricIDs(dmisExt)
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}
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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.tagCache.Stop()
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db.uselessTagFiltersCache.Stop()
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db.metricIDsPerDateTagFilterCache.Stop()
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db.tagCache = nil
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db.metricIDCache = nil
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db.metricNameCache = nil
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db.uselessTagFiltersCache = nil
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db.metricIDsPerDateTagFilterCache = 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.MustRemoveAll(tbPath)
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logger.Infof("indexDB %q has been dropped", tbPath)
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}
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func (db *indexDB) getFromTagCache(key []byte) ([]TSID, bool) {
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compressedBuf := tagBufPool.Get()
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defer tagBufPool.Put(compressedBuf)
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compressedBuf.B = db.tagCache.GetBig(compressedBuf.B[:0], key)
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if len(compressedBuf.B) == 0 {
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return nil, false
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}
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buf := tagBufPool.Get()
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defer tagBufPool.Put(buf)
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var err error
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buf.B, err = encoding.DecompressZSTD(buf.B[:0], compressedBuf.B)
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if err != nil {
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logger.Panicf("FATAL: cannot decompress tsids from tagCache: %s", err)
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}
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tsids, err := unmarshalTSIDs(nil, buf.B)
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if err != nil {
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logger.Panicf("FATAL: cannot unmarshal tsids from tagCache: %s", err)
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}
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return tsids, true
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}
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var tagBufPool bytesutil.ByteBufferPool
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func (db *indexDB) putToTagCache(tsids []TSID, key []byte) {
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buf := tagBufPool.Get()
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buf.B = marshalTSIDs(buf.B[:0], tsids)
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compressedBuf := tagBufPool.Get()
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compressedBuf.B = encoding.CompressZSTDLevel(compressedBuf.B[:0], buf.B, 1)
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tagBufPool.Put(buf)
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db.tagCache.SetBig(key, compressedBuf.B)
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tagBufPool.Put(compressedBuf)
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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.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.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.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.metricNameCache.Set(key[:], metricName)
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}
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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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const cacheGranularityMs = 1000 * 10
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startTime := (uint64(tr.MinTimestamp) / cacheGranularityMs) * cacheGranularityMs
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endTime := (uint64(tr.MaxTimestamp) / cacheGranularityMs) * cacheGranularityMs
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dst = encoding.MarshalUint64(dst, prefix)
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dst = encoding.MarshalUint64(dst, startTime)
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dst = encoding.MarshalUint64(dst, endTime)
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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 marshalTSIDs(dst []byte, tsids []TSID) []byte {
|
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dst = encoding.MarshalUint64(dst, uint64(len(tsids)))
|
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for i := range tsids {
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dst = tsids[i].Marshal(dst)
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}
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return dst
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}
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|
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func unmarshalTSIDs(dst []TSID, src []byte) ([]TSID, error) {
|
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if len(src) < 8 {
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return dst, fmt.Errorf("cannot unmarshal the number of tsids from %d bytes; require at least %d bytes", len(src), 8)
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}
|
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n := encoding.UnmarshalUint64(src)
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src = src[8:]
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dstLen := len(dst)
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if nn := dstLen + int(n) - cap(dst); nn > 0 {
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dst = append(dst[:cap(dst)], make([]TSID, nn)...)
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}
|
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dst = dst[:dstLen+int(n)]
|
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for i := 0; i < int(n); i++ {
|
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tail, err := dst[dstLen+i].Unmarshal(src)
|
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if err != nil {
|
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return dst, fmt.Errorf("cannot unmarshal tsid #%d out of %d: %s", i, n, err)
|
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}
|
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src = tail
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}
|
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if len(src) > 0 {
|
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return dst, fmt.Errorf("non-zero tail left after unmarshaling %d tsids; len(tail)=%d", n, len(src))
|
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}
|
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return dst, nil
|
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}
|
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|
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func invalidateTagCache() {
|
|
// This function must be fast, since it is called each
|
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// time new timeseries is added.
|
|
atomic.AddUint64(&tagFiltersKeyGen, 1)
|
|
}
|
|
|
|
var tagFiltersKeyGen uint64
|
|
|
|
// getTSIDByNameNoCreate fills the dst with TSID for the given metricName.
|
|
//
|
|
// It returns io.EOF if the given mn isn't found locally.
|
|
func (db *indexDB) getTSIDByNameNoCreate(dst *TSID, metricName []byte) error {
|
|
is := db.getIndexSearch()
|
|
err := is.getTSIDByMetricName(dst, metricName)
|
|
db.putIndexSearch(is)
|
|
if err == nil {
|
|
return nil
|
|
}
|
|
if err != io.EOF {
|
|
return fmt.Errorf("cannot search TSID by MetricName %q: %s", metricName, err)
|
|
}
|
|
|
|
// Do not search for the TSID in the external storage,
|
|
// since this function is already called by another indexDB instance.
|
|
|
|
// The TSID for the given mn wasn't found.
|
|
return io.EOF
|
|
}
|
|
|
|
type indexSearch struct {
|
|
db *indexDB
|
|
ts mergeset.TableSearch
|
|
kb bytesutil.ByteBuffer
|
|
mp tagToMetricIDsRowParser
|
|
|
|
// tsidByNameMisses and tsidByNameSkips is used for a performance
|
|
// hack in GetOrCreateTSIDByName. See the comment there.
|
|
tsidByNameMisses int
|
|
tsidByNameSkips int
|
|
}
|
|
|
|
// GetOrCreateTSIDByName fills the dst with TSID for the given metricName.
|
|
func (is *indexSearch) GetOrCreateTSIDByName(dst *TSID, metricName []byte) error {
|
|
// A hack: skip searching for the TSID after many serial misses.
|
|
// This should improve insertion performance for big batches
|
|
// of new time series.
|
|
if is.tsidByNameMisses < 100 {
|
|
err := is.getTSIDByMetricName(dst, metricName)
|
|
if err == nil {
|
|
is.tsidByNameMisses = 0
|
|
return nil
|
|
}
|
|
if err != io.EOF {
|
|
return fmt.Errorf("cannot search TSID by MetricName %q: %s", metricName, err)
|
|
}
|
|
is.tsidByNameMisses++
|
|
} else {
|
|
is.tsidByNameSkips++
|
|
if is.tsidByNameSkips > 10000 {
|
|
is.tsidByNameSkips = 0
|
|
is.tsidByNameMisses = 0
|
|
}
|
|
}
|
|
|
|
// TSID for the given name wasn't found. Create it.
|
|
// It is OK if duplicate TSID for mn is created by concurrent goroutines.
|
|
// Metric results will be merged by mn after TableSearch.
|
|
if err := is.db.createTSIDByName(dst, metricName); err != nil {
|
|
return fmt.Errorf("cannot create TSID by MetricName %q: %s", metricName, err)
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func (db *indexDB) getIndexSearch() *indexSearch {
|
|
v := db.indexSearchPool.Get()
|
|
if v == nil {
|
|
v = &indexSearch{
|
|
db: db,
|
|
}
|
|
}
|
|
is := v.(*indexSearch)
|
|
is.ts.Init(db.tb, shouldCacheBlock)
|
|
return is
|
|
}
|
|
|
|
func (db *indexDB) putIndexSearch(is *indexSearch) {
|
|
is.ts.MustClose()
|
|
is.kb.Reset()
|
|
is.mp.Reset()
|
|
|
|
// Do not reset tsidByNameMisses and tsidByNameSkips,
|
|
// since they are used in GetOrCreateTSIDByName across call boundaries.
|
|
|
|
db.indexSearchPool.Put(is)
|
|
}
|
|
|
|
func (db *indexDB) createTSIDByName(dst *TSID, metricName []byte) error {
|
|
mn := GetMetricName()
|
|
defer PutMetricName(mn)
|
|
if err := mn.Unmarshal(metricName); err != nil {
|
|
return fmt.Errorf("cannot unmarshal metricName %q: %s", metricName, err)
|
|
}
|
|
|
|
if err := db.generateTSID(dst, metricName, mn); err != nil {
|
|
return fmt.Errorf("cannot generate TSID: %s", err)
|
|
}
|
|
db.putMetricNameToCache(dst.MetricID, metricName)
|
|
if err := db.createIndexes(dst, mn); err != nil {
|
|
return fmt.Errorf("cannot create indexes: %s", err)
|
|
}
|
|
|
|
// There is no need in invalidating tag cache, since it is invalidated
|
|
// on db.tb flush via invalidateTagCache flushCallback passed to OpenTable.
|
|
|
|
atomic.AddUint64(&db.newTimeseriesCreated, 1)
|
|
return nil
|
|
}
|
|
|
|
func (db *indexDB) generateTSID(dst *TSID, metricName []byte, mn *MetricName) error {
|
|
// Search the TSID in the external storage.
|
|
// This is usually the db from the previous period.
|
|
var err error
|
|
if db.doExtDB(func(extDB *indexDB) {
|
|
err = extDB.getTSIDByNameNoCreate(dst, metricName)
|
|
}) {
|
|
if err == nil {
|
|
// The TSID has been found in the external storage.
|
|
return nil
|
|
}
|
|
if err != io.EOF {
|
|
return fmt.Errorf("external search failed: %s", err)
|
|
}
|
|
}
|
|
|
|
// The TSID wasn't found in the external storage.
|
|
// Generate it locally.
|
|
dst.MetricGroupID = xxhash.Sum64(mn.MetricGroup)
|
|
if len(mn.Tags) > 0 {
|
|
dst.JobID = uint32(xxhash.Sum64(mn.Tags[0].Value))
|
|
}
|
|
if len(mn.Tags) > 1 {
|
|
dst.InstanceID = uint32(xxhash.Sum64(mn.Tags[1].Value))
|
|
}
|
|
dst.MetricID = getUniqueUint64()
|
|
return nil
|
|
}
|
|
|
|
func (db *indexDB) createIndexes(tsid *TSID, mn *MetricName) error {
|
|
// The order of index items is important.
|
|
// It guarantees index consistency.
|
|
|
|
items := getIndexItems()
|
|
|
|
// Create MetricName -> TSID index.
|
|
items.B = append(items.B, nsPrefixMetricNameToTSID)
|
|
items.B = mn.Marshal(items.B)
|
|
items.B = append(items.B, kvSeparatorChar)
|
|
items.B = tsid.Marshal(items.B)
|
|
items.Next()
|
|
|
|
// Create MetricID -> MetricName index.
|
|
items.B = marshalCommonPrefix(items.B, nsPrefixMetricIDToMetricName)
|
|
items.B = encoding.MarshalUint64(items.B, tsid.MetricID)
|
|
items.B = mn.Marshal(items.B)
|
|
items.Next()
|
|
|
|
// Create MetricID -> TSID index.
|
|
items.B = marshalCommonPrefix(items.B, nsPrefixMetricIDToTSID)
|
|
items.B = encoding.MarshalUint64(items.B, tsid.MetricID)
|
|
items.B = tsid.Marshal(items.B)
|
|
items.Next()
|
|
|
|
commonPrefix := kbPool.Get()
|
|
commonPrefix.B = marshalCommonPrefix(commonPrefix.B[:0], nsPrefixTagToMetricIDs)
|
|
|
|
// Create MetricGroup -> MetricID index.
|
|
items.B = append(items.B, commonPrefix.B...)
|
|
items.B = marshalTagValue(items.B, nil)
|
|
items.B = marshalTagValue(items.B, mn.MetricGroup)
|
|
items.B = encoding.MarshalUint64(items.B, tsid.MetricID)
|
|
items.Next()
|
|
|
|
// For each tag create tag -> MetricID index.
|
|
for i := range mn.Tags {
|
|
tag := &mn.Tags[i]
|
|
items.B = append(items.B, commonPrefix.B...)
|
|
items.B = tag.Marshal(items.B)
|
|
items.B = encoding.MarshalUint64(items.B, tsid.MetricID)
|
|
items.Next()
|
|
}
|
|
|
|
kbPool.Put(commonPrefix)
|
|
err := db.tb.AddItems(items.Items)
|
|
putIndexItems(items)
|
|
return err
|
|
}
|
|
|
|
type indexItems struct {
|
|
B []byte
|
|
Items [][]byte
|
|
|
|
start int
|
|
}
|
|
|
|
func (ii *indexItems) reset() {
|
|
ii.B = ii.B[:0]
|
|
ii.Items = ii.Items[:0]
|
|
ii.start = 0
|
|
}
|
|
|
|
func (ii *indexItems) Next() {
|
|
ii.Items = append(ii.Items, ii.B[ii.start:])
|
|
ii.start = len(ii.B)
|
|
}
|
|
|
|
func getIndexItems() *indexItems {
|
|
v := indexItemsPool.Get()
|
|
if v == nil {
|
|
return &indexItems{}
|
|
}
|
|
return v.(*indexItems)
|
|
}
|
|
|
|
func putIndexItems(ii *indexItems) {
|
|
ii.reset()
|
|
indexItemsPool.Put(ii)
|
|
}
|
|
|
|
var indexItemsPool sync.Pool
|
|
|
|
// SearchTagKeys returns all the tag keys.
|
|
func (db *indexDB) SearchTagKeys(maxTagKeys int) ([]string, error) {
|
|
// TODO: cache results?
|
|
|
|
tks := make(map[string]struct{})
|
|
|
|
is := db.getIndexSearch()
|
|
err := is.searchTagKeys(tks, maxTagKeys)
|
|
db.putIndexSearch(is)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
ok := db.doExtDB(func(extDB *indexDB) {
|
|
is := extDB.getIndexSearch()
|
|
err = is.searchTagKeys(tks, maxTagKeys)
|
|
extDB.putIndexSearch(is)
|
|
})
|
|
if ok && err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
keys := make([]string, 0, len(tks))
|
|
for key := range tks {
|
|
keys = append(keys, key)
|
|
}
|
|
|
|
// Do not sort keys, since they must be sorted by vmselect.
|
|
return keys, nil
|
|
}
|
|
|
|
func (is *indexSearch) searchTagKeys(tks map[string]struct{}, maxTagKeys int) error {
|
|
ts := &is.ts
|
|
kb := &is.kb
|
|
mp := &is.mp
|
|
mp.Reset()
|
|
dmis := is.db.getDeletedMetricIDs()
|
|
kb.B = marshalCommonPrefix(kb.B[:0], nsPrefixTagToMetricIDs)
|
|
prefix := kb.B
|
|
ts.Seek(prefix)
|
|
for len(tks) < maxTagKeys && ts.NextItem() {
|
|
item := ts.Item
|
|
if !bytes.HasPrefix(item, prefix) {
|
|
break
|
|
}
|
|
if err := mp.Init(item, nsPrefixTagToMetricIDs); err != nil {
|
|
return err
|
|
}
|
|
if mp.IsDeletedTag(dmis) {
|
|
continue
|
|
}
|
|
|
|
// Store tag key.
|
|
tks[string(mp.Tag.Key)] = struct{}{}
|
|
|
|
// Search for the next tag key.
|
|
// The last char in kb.B must be tagSeparatorChar.
|
|
// Just increment it in order to jump to the next tag key.
|
|
kb.B = marshalCommonPrefix(kb.B[:0], nsPrefixTagToMetricIDs)
|
|
kb.B = marshalTagValue(kb.B, mp.Tag.Key)
|
|
kb.B[len(kb.B)-1]++
|
|
ts.Seek(kb.B)
|
|
}
|
|
if err := ts.Error(); err != nil {
|
|
return fmt.Errorf("error during search for prefix %q: %s", prefix, err)
|
|
}
|
|
return nil
|
|
}
|
|
|
|
// SearchTagValues returns all the tag values for the given tagKey
|
|
func (db *indexDB) SearchTagValues(tagKey []byte, maxTagValues int) ([]string, error) {
|
|
// TODO: cache results?
|
|
|
|
tvs := make(map[string]struct{})
|
|
is := db.getIndexSearch()
|
|
err := is.searchTagValues(tvs, tagKey, maxTagValues)
|
|
db.putIndexSearch(is)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
ok := db.doExtDB(func(extDB *indexDB) {
|
|
is := extDB.getIndexSearch()
|
|
err = is.searchTagValues(tvs, tagKey, maxTagValues)
|
|
extDB.putIndexSearch(is)
|
|
})
|
|
if ok && err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
tagValues := make([]string, 0, len(tvs))
|
|
for tv := range tvs {
|
|
tagValues = append(tagValues, tv)
|
|
}
|
|
|
|
// Do not sort tagValues, since they must be sorted by vmselect.
|
|
return tagValues, nil
|
|
}
|
|
|
|
func (is *indexSearch) searchTagValues(tvs map[string]struct{}, tagKey []byte, maxTagValues int) error {
|
|
ts := &is.ts
|
|
kb := &is.kb
|
|
mp := &is.mp
|
|
mp.Reset()
|
|
dmis := is.db.getDeletedMetricIDs()
|
|
kb.B = marshalCommonPrefix(kb.B[:0], nsPrefixTagToMetricIDs)
|
|
kb.B = marshalTagValue(kb.B, tagKey)
|
|
prefix := kb.B
|
|
ts.Seek(prefix)
|
|
for len(tvs) < maxTagValues && ts.NextItem() {
|
|
item := ts.Item
|
|
if !bytes.HasPrefix(item, prefix) {
|
|
break
|
|
}
|
|
if err := mp.Init(item, nsPrefixTagToMetricIDs); err != nil {
|
|
return err
|
|
}
|
|
if mp.IsDeletedTag(dmis) {
|
|
continue
|
|
}
|
|
|
|
// Store tag value
|
|
tvs[string(mp.Tag.Value)] = struct{}{}
|
|
|
|
if mp.MetricIDsLen() < maxMetricIDsPerRow/2 {
|
|
// There is no need in searching for the next tag value,
|
|
// since it is likely it is located in the next row,
|
|
// because the current row contains incomplete metricIDs set.
|
|
continue
|
|
}
|
|
// Search for the next tag value.
|
|
// The last char in kb.B must be tagSeparatorChar.
|
|
// Just increment it in order to jump to the next tag value.
|
|
kb.B = marshalCommonPrefix(kb.B[:0], nsPrefixTagToMetricIDs)
|
|
kb.B = marshalTagValue(kb.B, mp.Tag.Key)
|
|
kb.B = marshalTagValue(kb.B, mp.Tag.Value)
|
|
kb.B[len(kb.B)-1]++
|
|
ts.Seek(kb.B)
|
|
}
|
|
if err := ts.Error(); err != nil {
|
|
return fmt.Errorf("error when searching for tag name prefix %q: %s", prefix, err)
|
|
}
|
|
return nil
|
|
}
|
|
|
|
// GetSeriesCount returns the approximate number of unique timeseries in the db.
|
|
//
|
|
// It includes the deleted series too and may count the same series
|
|
// up to two times - in db and extDB.
|
|
func (db *indexDB) GetSeriesCount() (uint64, error) {
|
|
is := db.getIndexSearch()
|
|
n, err := is.getSeriesCount()
|
|
db.putIndexSearch(is)
|
|
if err != nil {
|
|
return 0, err
|
|
}
|
|
|
|
var nExt uint64
|
|
ok := db.doExtDB(func(extDB *indexDB) {
|
|
is := extDB.getIndexSearch()
|
|
nExt, err = is.getSeriesCount()
|
|
extDB.putIndexSearch(is)
|
|
})
|
|
if ok && err != nil {
|
|
return 0, fmt.Errorf("error when searching in extDB: %s", err)
|
|
}
|
|
return n + nExt, nil
|
|
}
|
|
|
|
func (is *indexSearch) getSeriesCount() (uint64, error) {
|
|
ts := &is.ts
|
|
kb := &is.kb
|
|
mp := &is.mp
|
|
var metricIDsLen uint64
|
|
// Extract the number of series from ((__name__=value): metricIDs) rows
|
|
kb.B = marshalCommonPrefix(kb.B[:0], nsPrefixTagToMetricIDs)
|
|
kb.B = marshalTagValue(kb.B, nil)
|
|
ts.Seek(kb.B)
|
|
for ts.NextItem() {
|
|
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: %s", err)
|
|
}
|
|
return metricIDsLen, nil
|
|
}
|
|
|
|
// GetTSDBStatusForDate returns topN entries for tsdb status for the given date.
|
|
func (db *indexDB) GetTSDBStatusForDate(date uint64, topN int) (*TSDBStatus, error) {
|
|
is := db.getIndexSearch()
|
|
status, err := is.getTSDBStatusForDate(date, topN)
|
|
db.putIndexSearch(is)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if status.hasEntries() {
|
|
// The entries were found in the db. There is no need in searching them in extDB.
|
|
return status, nil
|
|
}
|
|
|
|
// The entries weren't found in the db. Try searching them in extDB.
|
|
ok := db.doExtDB(func(extDB *indexDB) {
|
|
is := extDB.getIndexSearch()
|
|
status, err = is.getTSDBStatusForDate(date, topN)
|
|
extDB.putIndexSearch(is)
|
|
})
|
|
if ok && err != nil {
|
|
return nil, fmt.Errorf("error when obtaining TSDB status from extDB: %s", err)
|
|
}
|
|
return status, nil
|
|
}
|
|
|
|
func (is *indexSearch) getTSDBStatusForDate(date uint64, topN int) (*TSDBStatus, error) {
|
|
ts := &is.ts
|
|
kb := &is.kb
|
|
mp := &is.mp
|
|
thLabelValueCountByLabelName := newTopHeap(topN)
|
|
thSeriesCountByLabelValuePair := newTopHeap(topN)
|
|
thSeriesCountByMetricName := newTopHeap(topN)
|
|
var tmp, labelName, labelNameValue []byte
|
|
var labelValueCountByLabelName, seriesCountByLabelValuePair uint64
|
|
nameEqualBytes := []byte("__name__=")
|
|
|
|
kb.B = marshalCommonPrefix(kb.B[:0], nsPrefixDateTagToMetricIDs)
|
|
kb.B = encoding.MarshalUint64(kb.B, date)
|
|
prefix := kb.B
|
|
ts.Seek(prefix)
|
|
for ts.NextItem() {
|
|
item := ts.Item
|
|
if !bytes.HasPrefix(item, prefix) {
|
|
break
|
|
}
|
|
tail := item[len(prefix):]
|
|
var err error
|
|
tail, tmp, err = unmarshalTagValue(tmp[:0], tail)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("cannot unmarshal tag key from line %q: %s", item, err)
|
|
}
|
|
if len(tmp) == 0 {
|
|
tmp = append(tmp, "__name__"...)
|
|
}
|
|
if !bytes.Equal(tmp, labelName) {
|
|
thLabelValueCountByLabelName.pushIfNonEmpty(labelName, labelValueCountByLabelName)
|
|
labelValueCountByLabelName = 0
|
|
labelName = append(labelName[:0], tmp...)
|
|
}
|
|
tmp = append(tmp, '=')
|
|
tail, tmp, err = unmarshalTagValue(tmp, tail)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("cannot unmarshal tag value from line %q: %s", item, err)
|
|
}
|
|
if !bytes.Equal(tmp, labelNameValue) {
|
|
thSeriesCountByLabelValuePair.pushIfNonEmpty(labelNameValue, seriesCountByLabelValuePair)
|
|
if bytes.HasPrefix(labelNameValue, nameEqualBytes) {
|
|
thSeriesCountByMetricName.pushIfNonEmpty(labelNameValue[len(nameEqualBytes):], seriesCountByLabelValuePair)
|
|
}
|
|
seriesCountByLabelValuePair = 0
|
|
labelValueCountByLabelName++
|
|
labelNameValue = append(labelNameValue[:0], tmp...)
|
|
}
|
|
if err := mp.InitOnlyTail(item, tail); err != nil {
|
|
return nil, 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.
|
|
seriesCountByLabelValuePair += uint64(mp.MetricIDsLen())
|
|
}
|
|
if err := ts.Error(); err != nil {
|
|
return nil, fmt.Errorf("error when counting time series by metric names: %s", err)
|
|
}
|
|
thLabelValueCountByLabelName.pushIfNonEmpty(labelName, labelValueCountByLabelName)
|
|
thSeriesCountByLabelValuePair.pushIfNonEmpty(labelNameValue, seriesCountByLabelValuePair)
|
|
if bytes.HasPrefix(labelNameValue, nameEqualBytes) {
|
|
thSeriesCountByMetricName.pushIfNonEmpty(labelNameValue[len(nameEqualBytes):], seriesCountByLabelValuePair)
|
|
}
|
|
status := &TSDBStatus{
|
|
SeriesCountByMetricName: thSeriesCountByMetricName.getSortedResult(),
|
|
LabelValueCountByLabelName: thLabelValueCountByLabelName.getSortedResult(),
|
|
SeriesCountByLabelValuePair: thSeriesCountByLabelValuePair.getSortedResult(),
|
|
}
|
|
return status, nil
|
|
}
|
|
|
|
// TSDBStatus contains TSDB status data for /api/v1/status/tsdb.
|
|
//
|
|
// See https://prometheus.io/docs/prometheus/latest/querying/api/#tsdb-stats
|
|
type TSDBStatus struct {
|
|
SeriesCountByMetricName []TopHeapEntry
|
|
LabelValueCountByLabelName []TopHeapEntry
|
|
SeriesCountByLabelValuePair []TopHeapEntry
|
|
}
|
|
|
|
func (status *TSDBStatus) hasEntries() bool {
|
|
return len(status.SeriesCountByLabelValuePair) > 0
|
|
}
|
|
|
|
// topHeap maintains a heap of topHeapEntries with the maximum TopHeapEntry.n values.
|
|
type topHeap struct {
|
|
topN int
|
|
a []TopHeapEntry
|
|
}
|
|
|
|
// newTopHeap returns topHeap for topN items.
|
|
func newTopHeap(topN int) *topHeap {
|
|
return &topHeap{
|
|
topN: topN,
|
|
}
|
|
}
|
|
|
|
// TopHeapEntry represents an entry from `top heap` used in stats.
|
|
type TopHeapEntry struct {
|
|
Name string
|
|
Count uint64
|
|
}
|
|
|
|
func (th *topHeap) pushIfNonEmpty(name []byte, count uint64) {
|
|
if count == 0 {
|
|
return
|
|
}
|
|
if len(th.a) < th.topN {
|
|
th.a = append(th.a, TopHeapEntry{
|
|
Name: string(name),
|
|
Count: count,
|
|
})
|
|
heap.Fix(th, len(th.a)-1)
|
|
return
|
|
}
|
|
if count <= th.a[0].Count {
|
|
return
|
|
}
|
|
th.a[0] = TopHeapEntry{
|
|
Name: string(name),
|
|
Count: count,
|
|
}
|
|
heap.Fix(th, 0)
|
|
}
|
|
|
|
func (th *topHeap) getSortedResult() []TopHeapEntry {
|
|
result := append([]TopHeapEntry{}, th.a...)
|
|
sort.Slice(result, func(i, j int) bool {
|
|
a, b := result[i], result[j]
|
|
if a.Count != b.Count {
|
|
return a.Count > b.Count
|
|
}
|
|
return a.Name < b.Name
|
|
})
|
|
return result
|
|
}
|
|
|
|
// heap.Interface implementation for topHeap.
|
|
|
|
func (th *topHeap) Len() int {
|
|
return len(th.a)
|
|
}
|
|
|
|
func (th *topHeap) Less(i, j int) bool {
|
|
a := th.a
|
|
return a[i].Count < a[j].Count
|
|
}
|
|
|
|
func (th *topHeap) Swap(i, j int) {
|
|
a := th.a
|
|
a[j], a[i] = a[i], a[j]
|
|
}
|
|
|
|
func (th *topHeap) Push(x interface{}) {
|
|
panic(fmt.Errorf("BUG: Push shouldn't be called"))
|
|
}
|
|
|
|
func (th *topHeap) Pop() interface{} {
|
|
panic(fmt.Errorf("BUG: Pop shouldn't be called"))
|
|
}
|
|
|
|
// searchMetricName appends metric name for the given metricID to dst
|
|
// and returns the result.
|
|
func (db *indexDB) searchMetricName(dst []byte, metricID uint64) ([]byte, error) {
|
|
is := db.getIndexSearch()
|
|
dst, err := is.searchMetricName(dst, metricID)
|
|
db.putIndexSearch(is)
|
|
|
|
if err != io.EOF {
|
|
return dst, err
|
|
}
|
|
|
|
// Try searching in the external indexDB.
|
|
if db.doExtDB(func(extDB *indexDB) {
|
|
is := extDB.getIndexSearch()
|
|
dst, err = is.searchMetricName(dst, metricID)
|
|
extDB.putIndexSearch(is)
|
|
}) {
|
|
return dst, err
|
|
}
|
|
|
|
// Cannot find MetricName for the given metricID. This may be the case
|
|
// when indexDB contains incomplete set of metricID -> metricName entries
|
|
// after a snapshot or due to unflushed entries.
|
|
atomic.AddUint64(&db.missingMetricNamesForMetricID, 1)
|
|
|
|
// Mark the metricID as deleted, so it will be created again when new data point
|
|
// for the given time series will arrive.
|
|
if err := db.deleteMetricIDs([]uint64{metricID}); err != nil {
|
|
return dst, fmt.Errorf("cannot delete metricID for missing metricID->metricName entry; metricID=%d; error: %s", metricID, err)
|
|
}
|
|
return dst, io.EOF
|
|
}
|
|
|
|
// DeleteTSIDs marks as deleted all the TSIDs matching the given tfss.
|
|
//
|
|
// The caller must reset all the caches which may contain the deleted TSIDs.
|
|
//
|
|
// Returns the number of metrics deleted.
|
|
func (db *indexDB) DeleteTSIDs(tfss []*TagFilters) (int, error) {
|
|
if len(tfss) == 0 {
|
|
return 0, nil
|
|
}
|
|
|
|
// Obtain metricIDs to delete.
|
|
tr := TimeRange{
|
|
MinTimestamp: 0,
|
|
MaxTimestamp: (1 << 63) - 1,
|
|
}
|
|
is := db.getIndexSearch()
|
|
metricIDs, err := is.searchMetricIDs(tfss, tr, 2e9)
|
|
db.putIndexSearch(is)
|
|
if err != nil {
|
|
return 0, err
|
|
}
|
|
if err := db.deleteMetricIDs(metricIDs); err != nil {
|
|
return 0, err
|
|
}
|
|
|
|
// Delete TSIDs in the extDB.
|
|
deletedCount := len(metricIDs)
|
|
if db.doExtDB(func(extDB *indexDB) {
|
|
var n int
|
|
n, err = extDB.DeleteTSIDs(tfss)
|
|
deletedCount += n
|
|
}) {
|
|
if err != nil {
|
|
return deletedCount, fmt.Errorf("cannot delete tsids in extDB: %s", err)
|
|
}
|
|
}
|
|
return deletedCount, nil
|
|
}
|
|
|
|
func (db *indexDB) deleteMetricIDs(metricIDs []uint64) error {
|
|
if len(metricIDs) == 0 {
|
|
// Nothing to delete
|
|
return nil
|
|
}
|
|
|
|
// Mark the found metricIDs as deleted.
|
|
items := getIndexItems()
|
|
for _, metricID := range metricIDs {
|
|
items.B = append(items.B, nsPrefixDeletedMetricID)
|
|
items.B = encoding.MarshalUint64(items.B, metricID)
|
|
items.Next()
|
|
}
|
|
err := db.tb.AddItems(items.Items)
|
|
putIndexItems(items)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
// atomically add deleted metricIDs to an inmemory map.
|
|
dmis := &uint64set.Set{}
|
|
for _, metricID := range metricIDs {
|
|
dmis.Add(metricID)
|
|
}
|
|
db.updateDeletedMetricIDs(dmis)
|
|
|
|
// Reset TagFilters -> TSIDS cache, since it may contain deleted TSIDs.
|
|
invalidateTagCache()
|
|
|
|
// Do not reset uselessTagFiltersCache, since the found metricIDs
|
|
// on cache miss are filtered out later with deletedMetricIDs.
|
|
return nil
|
|
}
|
|
|
|
func (db *indexDB) getDeletedMetricIDs() *uint64set.Set {
|
|
return db.deletedMetricIDs.Load().(*uint64set.Set)
|
|
}
|
|
|
|
func (db *indexDB) setDeletedMetricIDs(dmis *uint64set.Set) {
|
|
db.deletedMetricIDs.Store(dmis)
|
|
}
|
|
|
|
func (db *indexDB) updateDeletedMetricIDs(metricIDs *uint64set.Set) {
|
|
db.deletedMetricIDsUpdateLock.Lock()
|
|
dmisOld := db.getDeletedMetricIDs()
|
|
dmisNew := dmisOld.Clone()
|
|
dmisNew.Union(metricIDs)
|
|
db.setDeletedMetricIDs(dmisNew)
|
|
db.deletedMetricIDsUpdateLock.Unlock()
|
|
}
|
|
|
|
func (is *indexSearch) getStartDateForPerDayInvertedIndex() (uint64, error) {
|
|
minDate := uint64(timestampFromTime(time.Now())) / msecPerDay
|
|
kb := &is.kb
|
|
ts := &is.ts
|
|
kb.B = append(kb.B[:0], nsPrefixDateTagToMetricIDs)
|
|
prefix := kb.B
|
|
ts.Seek(kb.B)
|
|
if ts.NextItem() {
|
|
item := ts.Item
|
|
if !bytes.HasPrefix(item, prefix) {
|
|
// The databse doesn't contain per-day inverted index yet.
|
|
return minDate, nil
|
|
}
|
|
suffix := item[len(prefix):]
|
|
|
|
// Suffix must contain encoded 64-bit date.
|
|
if len(suffix) < 8 {
|
|
return 0, fmt.Errorf("unexpected (date, tag)->metricIDs row len; must be at least 8 bytes; got %d bytes", len(suffix))
|
|
}
|
|
minDate = encoding.UnmarshalUint64(suffix)
|
|
return minDate, nil
|
|
}
|
|
if err := ts.Error(); err != nil {
|
|
return 0, err
|
|
}
|
|
// There are no (date,tag)->metricIDs entries in the database yet.
|
|
return minDate, nil
|
|
}
|
|
|
|
func (is *indexSearch) loadDeletedMetricIDs() (*uint64set.Set, error) {
|
|
dmis := &uint64set.Set{}
|
|
ts := &is.ts
|
|
kb := &is.kb
|
|
kb.B = append(kb.B[:0], nsPrefixDeletedMetricID)
|
|
ts.Seek(kb.B)
|
|
for ts.NextItem() {
|
|
item := ts.Item
|
|
if !bytes.HasPrefix(item, kb.B) {
|
|
break
|
|
}
|
|
item = item[len(kb.B):]
|
|
if len(item) != 8 {
|
|
return nil, fmt.Errorf("unexpected item len; got %d bytes; want %d bytes", len(item), 8)
|
|
}
|
|
metricID := encoding.UnmarshalUint64(item)
|
|
dmis.Add(metricID)
|
|
}
|
|
if err := ts.Error(); err != nil {
|
|
return nil, err
|
|
}
|
|
return dmis, nil
|
|
}
|
|
|
|
// searchTSIDs returns sorted tsids matching the given tfss over the given tr.
|
|
func (db *indexDB) searchTSIDs(tfss []*TagFilters, tr TimeRange, maxMetrics int) ([]TSID, error) {
|
|
if len(tfss) == 0 {
|
|
return nil, nil
|
|
}
|
|
|
|
tfKeyBuf := tagFiltersKeyBufPool.Get()
|
|
defer tagFiltersKeyBufPool.Put(tfKeyBuf)
|
|
|
|
tfKeyBuf.B = marshalTagFiltersKey(tfKeyBuf.B[:0], tfss, tr, true)
|
|
tsids, ok := db.getFromTagCache(tfKeyBuf.B)
|
|
if ok {
|
|
// Fast path - tsids found in the cache.
|
|
return tsids, nil
|
|
}
|
|
|
|
// Slow path - search for tsids in the db and extDB.
|
|
is := db.getIndexSearch()
|
|
localTSIDs, err := is.searchTSIDs(tfss, tr, maxMetrics)
|
|
db.putIndexSearch(is)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
|
|
var extTSIDs []TSID
|
|
if db.doExtDB(func(extDB *indexDB) {
|
|
tfKeyExtBuf := tagFiltersKeyBufPool.Get()
|
|
defer tagFiltersKeyBufPool.Put(tfKeyExtBuf)
|
|
|
|
// Data in extDB cannot be changed, so use unversioned keys for tag cache.
|
|
tfKeyExtBuf.B = marshalTagFiltersKey(tfKeyExtBuf.B[:0], tfss, tr, false)
|
|
tsids, ok := extDB.getFromTagCache(tfKeyExtBuf.B)
|
|
if ok {
|
|
extTSIDs = tsids
|
|
return
|
|
}
|
|
is := extDB.getIndexSearch()
|
|
extTSIDs, err = is.searchTSIDs(tfss, tr, maxMetrics)
|
|
extDB.putIndexSearch(is)
|
|
|
|
sort.Slice(extTSIDs, func(i, j int) bool { return extTSIDs[i].Less(&extTSIDs[j]) })
|
|
extDB.putToTagCache(extTSIDs, tfKeyExtBuf.B)
|
|
}) {
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
}
|
|
|
|
// Merge localTSIDs with extTSIDs.
|
|
tsids = mergeTSIDs(localTSIDs, extTSIDs)
|
|
|
|
// Sort the found tsids, since they must be passed to TSID search
|
|
// in the sorted order.
|
|
sort.Slice(tsids, func(i, j int) bool { return tsids[i].Less(&tsids[j]) })
|
|
|
|
// Store TSIDs in the cache.
|
|
db.putToTagCache(tsids, tfKeyBuf.B)
|
|
|
|
return tsids, err
|
|
}
|
|
|
|
var tagFiltersKeyBufPool bytesutil.ByteBufferPool
|
|
|
|
func (is *indexSearch) getTSIDByMetricName(dst *TSID, metricName []byte) error {
|
|
dmis := is.db.getDeletedMetricIDs()
|
|
ts := &is.ts
|
|
kb := &is.kb
|
|
kb.B = append(kb.B[:0], nsPrefixMetricNameToTSID)
|
|
kb.B = append(kb.B, metricName...)
|
|
kb.B = append(kb.B, kvSeparatorChar)
|
|
ts.Seek(kb.B)
|
|
for ts.NextItem() {
|
|
if !bytes.HasPrefix(ts.Item, kb.B) {
|
|
// Nothing found.
|
|
return io.EOF
|
|
}
|
|
v := ts.Item[len(kb.B):]
|
|
tail, err := dst.Unmarshal(v)
|
|
if err != nil {
|
|
return fmt.Errorf("cannot unmarshal TSID: %s", err)
|
|
}
|
|
if len(tail) > 0 {
|
|
return fmt.Errorf("unexpected non-empty tail left after unmarshaling TSID: %X", tail)
|
|
}
|
|
if dmis.Len() > 0 {
|
|
// Verify whether the dst is marked as deleted.
|
|
if dmis.Has(dst.MetricID) {
|
|
// The dst is deleted. Continue searching.
|
|
continue
|
|
}
|
|
}
|
|
// Found valid dst.
|
|
return nil
|
|
}
|
|
if err := ts.Error(); err != nil {
|
|
return fmt.Errorf("error when searching TSID by metricName; searchPrefix %q: %s", kb.B, err)
|
|
}
|
|
// Nothing found
|
|
return io.EOF
|
|
}
|
|
|
|
func (is *indexSearch) searchMetricName(dst []byte, metricID uint64) ([]byte, error) {
|
|
metricName := is.db.getMetricNameFromCache(dst, metricID)
|
|
if len(metricName) > len(dst) {
|
|
return metricName, nil
|
|
}
|
|
|
|
ts := &is.ts
|
|
kb := &is.kb
|
|
kb.B = marshalCommonPrefix(kb.B[:0], nsPrefixMetricIDToMetricName)
|
|
kb.B = encoding.MarshalUint64(kb.B, metricID)
|
|
if err := ts.FirstItemWithPrefix(kb.B); err != nil {
|
|
if err == io.EOF {
|
|
return dst, err
|
|
}
|
|
return dst, fmt.Errorf("error when searching metricName by metricID; searchPrefix %q: %s", kb.B, err)
|
|
}
|
|
v := ts.Item[len(kb.B):]
|
|
dst = append(dst, v...)
|
|
|
|
// There is no need in verifying whether the given metricID is deleted,
|
|
// since the filtering must be performed before calling this func.
|
|
is.db.putMetricNameToCache(metricID, dst)
|
|
return dst, nil
|
|
}
|
|
|
|
func mergeTSIDs(a, b []TSID) []TSID {
|
|
if len(b) > len(a) {
|
|
a, b = b, a
|
|
}
|
|
if len(b) == 0 {
|
|
return a
|
|
}
|
|
m := make(map[uint64]TSID, len(a))
|
|
for i := range a {
|
|
tsid := &a[i]
|
|
m[tsid.MetricID] = *tsid
|
|
}
|
|
for i := range b {
|
|
tsid := &b[i]
|
|
m[tsid.MetricID] = *tsid
|
|
}
|
|
|
|
tsids := make([]TSID, 0, len(m))
|
|
for _, tsid := range m {
|
|
tsids = append(tsids, tsid)
|
|
}
|
|
return tsids
|
|
}
|
|
|
|
func (is *indexSearch) containsTimeRange(tr TimeRange) (bool, error) {
|
|
ts := &is.ts
|
|
kb := &is.kb
|
|
|
|
// Verify whether the maximum date in `ts` covers tr.MinTimestamp.
|
|
minDate := uint64(tr.MinTimestamp) / msecPerDay
|
|
kb.B = marshalCommonPrefix(kb.B[:0], nsPrefixDateToMetricID)
|
|
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: %s", minDate, kb.B, err)
|
|
}
|
|
return false, nil
|
|
}
|
|
if !bytes.HasPrefix(ts.Item, prefix) {
|
|
// minDate exceeds max date from ts.
|
|
return false, nil
|
|
}
|
|
return true, nil
|
|
}
|
|
|
|
func (is *indexSearch) searchTSIDs(tfss []*TagFilters, tr TimeRange, maxMetrics int) ([]TSID, error) {
|
|
ok, err := is.containsTimeRange(tr)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if !ok {
|
|
// Fast path - the index doesn't contain data for the given tr.
|
|
return nil, nil
|
|
}
|
|
metricIDs, err := is.searchMetricIDs(tfss, tr, maxMetrics)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if len(metricIDs) == 0 {
|
|
// Nothing found.
|
|
return nil, nil
|
|
}
|
|
|
|
// Obtain TSID values for the given metricIDs.
|
|
tsids := make([]TSID, len(metricIDs))
|
|
i := 0
|
|
for _, metricID := range metricIDs {
|
|
// Try obtaining TSIDs from db.tsidCache. This is much faster
|
|
// than scanning the mergeset if it contains a lot of metricIDs.
|
|
tsid := &tsids[i]
|
|
err := is.db.getFromMetricIDCache(tsid, metricID)
|
|
if err == nil {
|
|
// Fast path - the tsid for metricID is found in cache.
|
|
i++
|
|
continue
|
|
}
|
|
if err != io.EOF {
|
|
return nil, err
|
|
}
|
|
if err := is.getTSIDByMetricID(tsid, metricID); err != nil {
|
|
if err == io.EOF {
|
|
// Cannot find TSID for the given metricID.
|
|
// This may be the case on incomplete indexDB
|
|
// due to snapshot or due to unflushed entries.
|
|
// Just increment errors counter and skip it.
|
|
atomic.AddUint64(&is.db.missingTSIDsForMetricID, 1)
|
|
continue
|
|
}
|
|
return nil, fmt.Errorf("cannot find tsid %d out of %d for metricID %d: %s", i, len(metricIDs), metricID, err)
|
|
}
|
|
is.db.putToMetricIDCache(metricID, tsid)
|
|
i++
|
|
}
|
|
tsids = tsids[:i]
|
|
|
|
// Do not sort the found tsids, since they will be sorted later.
|
|
return tsids, nil
|
|
}
|
|
|
|
func (is *indexSearch) getTSIDByMetricID(dst *TSID, metricID uint64) error {
|
|
// There is no need in checking for deleted metricIDs here, since they
|
|
// must be checked by the caller.
|
|
ts := &is.ts
|
|
kb := &is.kb
|
|
kb.B = marshalCommonPrefix(kb.B[:0], nsPrefixMetricIDToTSID)
|
|
kb.B = encoding.MarshalUint64(kb.B, metricID)
|
|
if err := ts.FirstItemWithPrefix(kb.B); err != nil {
|
|
if err == io.EOF {
|
|
return err
|
|
}
|
|
return fmt.Errorf("error when searching TSID by metricID; searchPrefix %q: %s", kb.B, err)
|
|
}
|
|
v := ts.Item[len(kb.B):]
|
|
tail, err := dst.Unmarshal(v)
|
|
if err != nil {
|
|
return fmt.Errorf("cannot unmarshal TSID=%X: %s", v, err)
|
|
}
|
|
if len(tail) > 0 {
|
|
return fmt.Errorf("unexpected non-zero tail left after unmarshaling TSID: %X", tail)
|
|
}
|
|
return nil
|
|
}
|
|
|
|
// updateMetricIDsByMetricNameMatch matches metricName values for the given srcMetricIDs against tfs
|
|
// and adds matching metrics to metricIDs.
|
|
func (is *indexSearch) updateMetricIDsByMetricNameMatch(metricIDs, srcMetricIDs *uint64set.Set, tfs []*tagFilter) error {
|
|
// sort srcMetricIDs in order to speed up Seek below.
|
|
sortedMetricIDs := srcMetricIDs.AppendTo(nil)
|
|
|
|
metricName := kbPool.Get()
|
|
defer kbPool.Put(metricName)
|
|
mn := GetMetricName()
|
|
defer PutMetricName(mn)
|
|
for _, metricID := range sortedMetricIDs {
|
|
var err error
|
|
metricName.B, err = is.searchMetricName(metricName.B[:0], metricID)
|
|
if err != nil {
|
|
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: %s", metricID, err)
|
|
}
|
|
if err := mn.Unmarshal(metricName.B); err != nil {
|
|
return fmt.Errorf("cannot unmarshal metricName %q: %s", metricName.B, err)
|
|
}
|
|
|
|
// Match the mn against tfs.
|
|
ok, err := matchTagFilters(mn, tfs, &is.kb)
|
|
if err != nil {
|
|
return fmt.Errorf("cannot match MetricName %s against tagFilters: %s", mn, err)
|
|
}
|
|
if !ok {
|
|
continue
|
|
}
|
|
metricIDs.Add(metricID)
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func (is *indexSearch) getTagFilterWithMinMetricIDsCountOptimized(tfs *TagFilters, tr TimeRange, maxMetrics int) (*tagFilter, *uint64set.Set, error) {
|
|
// Try fast path with the minimized number of maxMetrics.
|
|
maxMetricsAdjusted := is.adjustMaxMetricsAdaptive(tr, maxMetrics)
|
|
minTf, minMetricIDs, err := is.getTagFilterWithMinMetricIDsCountAdaptive(tfs, maxMetricsAdjusted)
|
|
if err == nil {
|
|
return minTf, minMetricIDs, nil
|
|
}
|
|
if err != errTooManyMetrics {
|
|
return nil, nil, err
|
|
}
|
|
|
|
// All the tag filters match too many metrics.
|
|
|
|
// Slow path: try filtering the matching metrics by time range.
|
|
// This should work well for cases when old metrics are constantly substituted
|
|
// by big number of new metrics. For example, prometheus-operator creates many new
|
|
// metrics for each new deployment.
|
|
//
|
|
// Allow fetching up to 20*maxMetrics metrics for the given time range
|
|
// in the hope these metricIDs will be filtered out by other filters later.
|
|
maxTimeRangeMetrics := 20 * maxMetrics
|
|
metricIDsForTimeRange, err := is.getMetricIDsForTimeRange(tr, maxTimeRangeMetrics+1)
|
|
if err == errMissingMetricIDsForDate {
|
|
// Slow path: try to find the tag filter without maxMetrics adjustement.
|
|
minTf, minMetricIDs, err = is.getTagFilterWithMinMetricIDsCountAdaptive(tfs, maxMetrics)
|
|
if err == nil {
|
|
return minTf, minMetricIDs, nil
|
|
}
|
|
if err != errTooManyMetrics {
|
|
return nil, nil, err
|
|
}
|
|
return nil, nil, fmt.Errorf("cannot find tag filter matching less than %d time series; "+
|
|
"either increase -search.maxUniqueTimeseries or use more specific tag filters", maxMetrics)
|
|
}
|
|
if err != nil {
|
|
return nil, nil, err
|
|
}
|
|
if metricIDsForTimeRange.Len() <= maxTimeRangeMetrics {
|
|
return nil, metricIDsForTimeRange, nil
|
|
}
|
|
|
|
// Slow path: try to select the tag filter without maxMetrics adjustement.
|
|
minTf, minMetricIDs, err = is.getTagFilterWithMinMetricIDsCountAdaptive(tfs, maxMetrics)
|
|
if err == nil {
|
|
return minTf, minMetricIDs, nil
|
|
}
|
|
if err != errTooManyMetrics {
|
|
return nil, nil, err
|
|
}
|
|
return nil, nil, fmt.Errorf("more than %d time series found on the time range %s; either increase -search.maxUniqueTimeseries or shrink the time range",
|
|
maxMetrics, tr.String())
|
|
}
|
|
|
|
const maxDaysForDateMetricIDs = 40
|
|
|
|
func (is *indexSearch) adjustMaxMetricsAdaptive(tr TimeRange, maxMetrics int) int {
|
|
minDate := uint64(tr.MinTimestamp) / msecPerDay
|
|
maxDate := uint64(tr.MaxTimestamp) / msecPerDay
|
|
if maxDate-minDate > maxDaysForDateMetricIDs {
|
|
// Cannot reduce maxMetrics for the given time range,
|
|
// since it is expensive extracting metricIDs for the given tr.
|
|
return maxMetrics
|
|
}
|
|
hmPrev := is.db.prevHourMetricIDs.Load().(*hourMetricIDs)
|
|
if !hmPrev.isFull {
|
|
return maxMetrics
|
|
}
|
|
hourMetrics := hmPrev.m.Len()
|
|
if maxMetrics > hourMetrics {
|
|
// It is cheaper to filter on the hour or day metrics if the minimum
|
|
// number of matching metrics across tfs exceeds hourMetrics.
|
|
return hourMetrics
|
|
}
|
|
return maxMetrics
|
|
}
|
|
|
|
func (is *indexSearch) getTagFilterWithMinMetricIDsCountAdaptive(tfs *TagFilters, maxMetrics int) (*tagFilter, *uint64set.Set, error) {
|
|
kb := &is.kb
|
|
kb.B = append(kb.B[:0], uselessMultiTagFiltersKeyPrefix)
|
|
kb.B = encoding.MarshalUint64(kb.B, uint64(maxMetrics))
|
|
kb.B = tfs.marshal(kb.B)
|
|
if len(is.db.uselessTagFiltersCache.Get(nil, kb.B)) > 0 {
|
|
// Skip useless work below, since the tfs doesn't contain tag filters matching less than maxMetrics metrics.
|
|
return nil, nil, errTooManyMetrics
|
|
}
|
|
|
|
// Iteratively increase maxAllowedMetrics up to maxMetrics in order to limit
|
|
// the time required for founding the tag filter with minimum matching metrics.
|
|
maxAllowedMetrics := 16
|
|
if maxAllowedMetrics > maxMetrics {
|
|
maxAllowedMetrics = maxMetrics
|
|
}
|
|
for {
|
|
minTf, minMetricIDs, err := is.getTagFilterWithMinMetricIDsCount(tfs, maxAllowedMetrics)
|
|
if err != errTooManyMetrics {
|
|
if err != nil {
|
|
return nil, nil, err
|
|
}
|
|
if minMetricIDs.Len() < maxAllowedMetrics {
|
|
// Found the tag filter with the minimum number of metrics.
|
|
return minTf, minMetricIDs, nil
|
|
}
|
|
}
|
|
|
|
// Too many metrics matched.
|
|
if maxAllowedMetrics >= maxMetrics {
|
|
// The tag filter with minimum matching metrics matches at least maxMetrics metrics.
|
|
kb.B = append(kb.B[:0], uselessMultiTagFiltersKeyPrefix)
|
|
kb.B = encoding.MarshalUint64(kb.B, uint64(maxMetrics))
|
|
kb.B = tfs.marshal(kb.B)
|
|
is.db.uselessTagFiltersCache.Set(kb.B, uselessTagFilterCacheValue)
|
|
return nil, nil, errTooManyMetrics
|
|
}
|
|
|
|
// Increase maxAllowedMetrics and try again.
|
|
maxAllowedMetrics *= 4
|
|
if maxAllowedMetrics > maxMetrics {
|
|
maxAllowedMetrics = maxMetrics
|
|
}
|
|
}
|
|
}
|
|
|
|
var errTooManyMetrics = errors.New("all the tag filters match too many metrics")
|
|
|
|
func (is *indexSearch) getTagFilterWithMinMetricIDsCount(tfs *TagFilters, maxMetrics int) (*tagFilter, *uint64set.Set, error) {
|
|
var minMetricIDs *uint64set.Set
|
|
var minTf *tagFilter
|
|
kb := &is.kb
|
|
uselessTagFilters := 0
|
|
for i := range tfs.tfs {
|
|
tf := &tfs.tfs[i]
|
|
if tf.isNegative {
|
|
// Skip negative filters.
|
|
continue
|
|
}
|
|
|
|
kb.B = append(kb.B[:0], uselessSingleTagFilterKeyPrefix)
|
|
kb.B = encoding.MarshalUint64(kb.B, uint64(maxMetrics))
|
|
kb.B = tf.Marshal(kb.B)
|
|
if len(is.db.uselessTagFiltersCache.Get(nil, kb.B)) > 0 {
|
|
// Skip useless work below, since the tf matches at least maxMetrics metrics.
|
|
uselessTagFilters++
|
|
continue
|
|
}
|
|
|
|
metricIDs, err := is.getMetricIDsForTagFilter(tf, maxMetrics)
|
|
if err != nil {
|
|
if err == errFallbackToMetricNameMatch {
|
|
// Skip tag filters requiring to scan for too many metrics.
|
|
kb.B = append(kb.B[:0], uselessSingleTagFilterKeyPrefix)
|
|
kb.B = encoding.MarshalUint64(kb.B, uint64(maxMetrics))
|
|
kb.B = tf.Marshal(kb.B)
|
|
is.db.uselessTagFiltersCache.Set(kb.B, uselessTagFilterCacheValue)
|
|
uselessTagFilters++
|
|
continue
|
|
}
|
|
return nil, nil, fmt.Errorf("cannot find MetricIDs for tagFilter %s: %s", tf, err)
|
|
}
|
|
if metricIDs.Len() >= maxMetrics {
|
|
// The tf matches at least maxMetrics. Skip it
|
|
kb.B = append(kb.B[:0], uselessSingleTagFilterKeyPrefix)
|
|
kb.B = encoding.MarshalUint64(kb.B, uint64(maxMetrics))
|
|
kb.B = tf.Marshal(kb.B)
|
|
is.db.uselessTagFiltersCache.Set(kb.B, uselessTagFilterCacheValue)
|
|
uselessTagFilters++
|
|
continue
|
|
}
|
|
|
|
minMetricIDs = metricIDs
|
|
minTf = tf
|
|
maxMetrics = minMetricIDs.Len()
|
|
if maxMetrics <= 1 {
|
|
// There is no need in inspecting other filters, since minTf
|
|
// already matches 0 or 1 metric.
|
|
break
|
|
}
|
|
}
|
|
if minTf != nil {
|
|
return minTf, minMetricIDs, nil
|
|
}
|
|
if uselessTagFilters == len(tfs.tfs) {
|
|
// All the tag filters return at least maxMetrics entries.
|
|
return nil, nil, errTooManyMetrics
|
|
}
|
|
|
|
// There is no positive filter with small number of matching metrics.
|
|
// Create it, so it matches all the MetricIDs.
|
|
kb.B = append(kb.B[:0], uselessNegativeTagFilterKeyPrefix)
|
|
kb.B = encoding.MarshalUint64(kb.B, uint64(maxMetrics))
|
|
kb.B = tfs.marshal(kb.B)
|
|
if len(is.db.uselessTagFiltersCache.Get(nil, kb.B)) > 0 {
|
|
return nil, nil, errTooManyMetrics
|
|
}
|
|
metricIDs := &uint64set.Set{}
|
|
if err := is.updateMetricIDsAll(metricIDs, maxMetrics); err != nil {
|
|
return nil, nil, err
|
|
}
|
|
if metricIDs.Len() >= maxMetrics {
|
|
kb.B = append(kb.B[:0], uselessNegativeTagFilterKeyPrefix)
|
|
kb.B = encoding.MarshalUint64(kb.B, uint64(maxMetrics))
|
|
kb.B = tfs.marshal(kb.B)
|
|
is.db.uselessTagFiltersCache.Set(kb.B, uselessTagFilterCacheValue)
|
|
}
|
|
return nil, metricIDs, nil
|
|
}
|
|
|
|
func matchTagFilters(mn *MetricName, tfs []*tagFilter, kb *bytesutil.ByteBuffer) (bool, error) {
|
|
kb.B = marshalCommonPrefix(kb.B[:0], nsPrefixTagToMetricIDs)
|
|
|
|
for i, tf := range tfs {
|
|
if len(tf.key) == 0 {
|
|
// Match against mn.MetricGroup.
|
|
b := marshalTagValue(kb.B, nil)
|
|
b = marshalTagValue(b, mn.MetricGroup)
|
|
kb.B = b[:len(kb.B)]
|
|
ok, err := matchTagFilter(b, tf)
|
|
if err != nil {
|
|
return false, fmt.Errorf("cannot match MetricGroup %q with tagFilter %s: %s", mn.MetricGroup, tf, err)
|
|
}
|
|
if !ok {
|
|
// 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
|
|
for j := range mn.Tags {
|
|
tag := &mn.Tags[j]
|
|
if string(tag.Key) != string(tf.key) {
|
|
continue
|
|
}
|
|
|
|
// Found the matching tag name. Match the value.
|
|
b := tag.Marshal(kb.B)
|
|
kb.B = b[:len(kb.B)]
|
|
ok, err := matchTagFilter(b, tf)
|
|
if err != nil {
|
|
return false, fmt.Errorf("cannot match tag %q with tagFilter %s: %s", tag, tf, err)
|
|
}
|
|
if !ok {
|
|
// 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 !tagMatched && !tf.isNegative {
|
|
// 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 matchTagFilter(b []byte, tf *tagFilter) (bool, error) {
|
|
if !bytes.HasPrefix(b, tf.prefix) {
|
|
return tf.isNegative, nil
|
|
}
|
|
ok, err := tf.matchSuffix(b[len(tf.prefix):])
|
|
if err != nil {
|
|
return false, err
|
|
}
|
|
if !ok {
|
|
return tf.isNegative, nil
|
|
}
|
|
return !tf.isNegative, nil
|
|
}
|
|
|
|
func (is *indexSearch) searchMetricIDs(tfss []*TagFilters, tr TimeRange, maxMetrics int) ([]uint64, error) {
|
|
metricIDs := &uint64set.Set{}
|
|
for _, tfs := range tfss {
|
|
if len(tfs.tfs) == 0 {
|
|
// Return all the metric ids
|
|
if err := is.updateMetricIDsAll(metricIDs, maxMetrics+1); err != nil {
|
|
return nil, err
|
|
}
|
|
if metricIDs.Len() > maxMetrics {
|
|
return nil, fmt.Errorf("the number or unique timeseries exceeds %d; either narrow down the search or increase -search.maxUniqueTimeseries", maxMetrics)
|
|
}
|
|
// Stop the iteration, since we cannot find more metric ids with the remaining tfss.
|
|
break
|
|
}
|
|
if err := is.updateMetricIDsForTagFilters(metricIDs, tfs, tr, maxMetrics+1); err != nil {
|
|
return nil, err
|
|
}
|
|
if metricIDs.Len() > maxMetrics {
|
|
return nil, fmt.Errorf("the number or matching unique timeseries exceeds %d; either narrow down the search or increase -search.maxUniqueTimeseries", maxMetrics)
|
|
}
|
|
}
|
|
if metricIDs.Len() == 0 {
|
|
// Nothing found
|
|
return nil, nil
|
|
}
|
|
|
|
sortedMetricIDs := metricIDs.AppendTo(nil)
|
|
|
|
// Filter out deleted metricIDs.
|
|
dmis := is.db.getDeletedMetricIDs()
|
|
if dmis.Len() > 0 {
|
|
metricIDsFiltered := sortedMetricIDs[:0]
|
|
for _, metricID := range sortedMetricIDs {
|
|
if !dmis.Has(metricID) {
|
|
metricIDsFiltered = append(metricIDsFiltered, metricID)
|
|
}
|
|
}
|
|
sortedMetricIDs = metricIDsFiltered
|
|
}
|
|
|
|
return sortedMetricIDs, nil
|
|
}
|
|
|
|
func (is *indexSearch) updateMetricIDsForTagFilters(metricIDs *uint64set.Set, tfs *TagFilters, tr TimeRange, maxMetrics int) error {
|
|
err := is.tryUpdatingMetricIDsForDateRange(metricIDs, tfs, tr, maxMetrics)
|
|
if err == nil {
|
|
// Fast path: found metricIDs by date range.
|
|
return nil
|
|
}
|
|
if err != errFallbackToMetricNameMatch {
|
|
return err
|
|
}
|
|
|
|
// Slow path - try searching over the whole inverted index.
|
|
|
|
// Sort tag filters for faster ts.Seek below.
|
|
sort.Slice(tfs.tfs, func(i, j int) bool {
|
|
return tfs.tfs[i].Less(&tfs.tfs[j])
|
|
})
|
|
minTf, minMetricIDs, err := is.getTagFilterWithMinMetricIDsCountOptimized(tfs, tr, maxMetrics)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
|
|
// Find intersection of minTf with other tfs.
|
|
var tfsPostponed []*tagFilter
|
|
successfulIntersects := 0
|
|
for i := range tfs.tfs {
|
|
tf := &tfs.tfs[i]
|
|
if tf == minTf {
|
|
continue
|
|
}
|
|
mIDs, err := is.intersectMetricIDsWithTagFilter(tf, minMetricIDs)
|
|
if err == errFallbackToMetricNameMatch {
|
|
// The tag filter requires too many index scans. Postpone it,
|
|
// so tag filters with lower number of index scans may be applied.
|
|
tfsPostponed = append(tfsPostponed, tf)
|
|
continue
|
|
}
|
|
if err != nil {
|
|
return err
|
|
}
|
|
minMetricIDs = mIDs
|
|
successfulIntersects++
|
|
}
|
|
if len(tfsPostponed) > 0 && successfulIntersects == 0 {
|
|
return is.updateMetricIDsByMetricNameMatch(metricIDs, minMetricIDs, tfsPostponed)
|
|
}
|
|
for i, tf := range tfsPostponed {
|
|
mIDs, err := is.intersectMetricIDsWithTagFilter(tf, minMetricIDs)
|
|
if err == errFallbackToMetricNameMatch {
|
|
return is.updateMetricIDsByMetricNameMatch(metricIDs, minMetricIDs, tfsPostponed[i:])
|
|
}
|
|
if err != nil {
|
|
return err
|
|
}
|
|
minMetricIDs = mIDs
|
|
}
|
|
metricIDs.UnionMayOwn(minMetricIDs)
|
|
return nil
|
|
}
|
|
|
|
const (
|
|
uselessSingleTagFilterKeyPrefix = 0
|
|
uselessMultiTagFiltersKeyPrefix = 1
|
|
uselessNegativeTagFilterKeyPrefix = 2
|
|
uselessTagIntersectKeyPrefix = 3
|
|
)
|
|
|
|
var uselessTagFilterCacheValue = []byte("1")
|
|
|
|
func (is *indexSearch) getMetricIDsForTagFilter(tf *tagFilter, maxMetrics int) (*uint64set.Set, 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 orSuffxies.
|
|
if err := is.updateMetricIDsForOrSuffixesNoFilter(tf, maxMetrics, metricIDs); err != nil {
|
|
if err == errFallbackToMetricNameMatch {
|
|
return nil, err
|
|
}
|
|
return nil, fmt.Errorf("error when searching for metricIDs for tagFilter in fast path: %s; tagFilter=%s", err, tf)
|
|
}
|
|
return metricIDs, nil
|
|
}
|
|
|
|
// Slow path - scan for all the rows with the given prefix.
|
|
maxLoops := maxMetrics * maxIndexScanSlowLoopsPerMetric
|
|
err := is.getMetricIDsForTagFilterSlow(tf, maxLoops, func(metricID uint64) bool {
|
|
metricIDs.Add(metricID)
|
|
return metricIDs.Len() < maxMetrics
|
|
})
|
|
if err != nil {
|
|
if err == errFallbackToMetricNameMatch {
|
|
return nil, err
|
|
}
|
|
return nil, fmt.Errorf("error when searching for metricIDs for tagFilter in slow path: %s; tagFilter=%s", err, tf)
|
|
}
|
|
return metricIDs, nil
|
|
}
|
|
|
|
func (is *indexSearch) getMetricIDsForTagFilterSlow(tf *tagFilter, maxLoops int, f func(metricID uint64) bool) 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.
|
|
loops := 0
|
|
ts := &is.ts
|
|
kb := &is.kb
|
|
mp := &is.mp
|
|
mp.Reset()
|
|
var prevMatchingSuffix []byte
|
|
var prevMatch bool
|
|
prefix := tf.prefix
|
|
ts.Seek(prefix)
|
|
for ts.NextItem() {
|
|
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)
|
|
}
|
|
suffix := tail[:n+1]
|
|
tail = tail[n+1:]
|
|
if err := mp.InitOnlyTail(item, tail); err != nil {
|
|
return err
|
|
}
|
|
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.
|
|
loops += mp.MetricIDsLen()
|
|
if loops > maxLoops {
|
|
return errFallbackToMetricNameMatch
|
|
}
|
|
mp.ParseMetricIDs()
|
|
for _, metricID := range mp.MetricIDs {
|
|
if !f(metricID) {
|
|
return nil
|
|
}
|
|
}
|
|
continue
|
|
}
|
|
|
|
// Slow path: need tf.matchSuffix call.
|
|
ok, err := tf.matchSuffix(suffix)
|
|
if err != nil {
|
|
return fmt.Errorf("error when matching %s against suffix %q: %s", 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 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)
|
|
continue
|
|
}
|
|
prevMatch = true
|
|
prevMatchingSuffix = append(prevMatchingSuffix[:0], suffix...)
|
|
loops += mp.MetricIDsLen()
|
|
if loops > maxLoops {
|
|
return errFallbackToMetricNameMatch
|
|
}
|
|
mp.ParseMetricIDs()
|
|
for _, metricID := range mp.MetricIDs {
|
|
if !f(metricID) {
|
|
return nil
|
|
}
|
|
}
|
|
}
|
|
if err := ts.Error(); err != nil {
|
|
return fmt.Errorf("error when searching for tag filter prefix %q: %s", prefix, err)
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func (is *indexSearch) updateMetricIDsForOrSuffixesNoFilter(tf *tagFilter, maxMetrics int, metricIDs *uint64set.Set) error {
|
|
if tf.isNegative {
|
|
logger.Panicf("BUG: isNegative must be false")
|
|
}
|
|
kb := kbPool.Get()
|
|
defer kbPool.Put(kb)
|
|
for _, orSuffix := range tf.orSuffixes {
|
|
kb.B = append(kb.B[:0], tf.prefix...)
|
|
kb.B = append(kb.B, orSuffix...)
|
|
kb.B = append(kb.B, tagSeparatorChar)
|
|
if err := is.updateMetricIDsForOrSuffixNoFilter(kb.B, maxMetrics, metricIDs); err != nil {
|
|
return err
|
|
}
|
|
if metricIDs.Len() >= maxMetrics {
|
|
return nil
|
|
}
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func (is *indexSearch) updateMetricIDsForOrSuffixesWithFilter(tf *tagFilter, metricIDs, filter *uint64set.Set) error {
|
|
sortedFilter := filter.AppendTo(nil)
|
|
kb := kbPool.Get()
|
|
defer kbPool.Put(kb)
|
|
for _, orSuffix := range tf.orSuffixes {
|
|
kb.B = append(kb.B[:0], tf.prefix...)
|
|
kb.B = append(kb.B, orSuffix...)
|
|
kb.B = append(kb.B, tagSeparatorChar)
|
|
if err := is.updateMetricIDsForOrSuffixWithFilter(kb.B, metricIDs, sortedFilter, tf.isNegative); err != nil {
|
|
return err
|
|
}
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func (is *indexSearch) updateMetricIDsForOrSuffixNoFilter(prefix []byte, maxMetrics int, metricIDs *uint64set.Set) error {
|
|
ts := &is.ts
|
|
mp := &is.mp
|
|
mp.Reset()
|
|
maxLoops := maxMetrics * maxIndexScanLoopsPerMetric
|
|
loops := 0
|
|
ts.Seek(prefix)
|
|
for metricIDs.Len() < maxMetrics && ts.NextItem() {
|
|
item := ts.Item
|
|
if !bytes.HasPrefix(item, prefix) {
|
|
return nil
|
|
}
|
|
if err := mp.InitOnlyTail(item, item[len(prefix):]); err != nil {
|
|
return err
|
|
}
|
|
loops += mp.MetricIDsLen()
|
|
if loops > maxLoops {
|
|
return errFallbackToMetricNameMatch
|
|
}
|
|
mp.ParseMetricIDs()
|
|
for _, metricID := range mp.MetricIDs {
|
|
metricIDs.Add(metricID)
|
|
}
|
|
}
|
|
if err := ts.Error(); err != nil {
|
|
return fmt.Errorf("error when searching for tag filter prefix %q: %s", prefix, err)
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func (is *indexSearch) updateMetricIDsForOrSuffixWithFilter(prefix []byte, metricIDs *uint64set.Set, sortedFilter []uint64, isNegative bool) error {
|
|
if len(sortedFilter) == 0 {
|
|
return nil
|
|
}
|
|
firstFilterMetricID := sortedFilter[0]
|
|
lastFilterMetricID := sortedFilter[len(sortedFilter)-1]
|
|
ts := &is.ts
|
|
mp := &is.mp
|
|
mp.Reset()
|
|
maxLoops := len(sortedFilter) * maxIndexScanLoopsPerMetric
|
|
loops := 0
|
|
ts.Seek(prefix)
|
|
var sf []uint64
|
|
var metricID uint64
|
|
for ts.NextItem() {
|
|
item := ts.Item
|
|
if !bytes.HasPrefix(item, prefix) {
|
|
return nil
|
|
}
|
|
if err := mp.InitOnlyTail(item, item[len(prefix):]); err != nil {
|
|
return err
|
|
}
|
|
firstMetricID, lastMetricID := mp.FirstAndLastMetricIDs()
|
|
if lastMetricID < firstFilterMetricID {
|
|
// Skip the item, since it contains metricIDs lower
|
|
// than metricIDs in sortedFilter.
|
|
continue
|
|
}
|
|
if firstMetricID > lastFilterMetricID {
|
|
// Stop searching, since the current item and all the subsequent items
|
|
// contain metricIDs higher than metricIDs in sortedFilter.
|
|
return nil
|
|
}
|
|
sf = sortedFilter
|
|
loops += mp.MetricIDsLen()
|
|
if loops > maxLoops {
|
|
return errFallbackToMetricNameMatch
|
|
}
|
|
mp.ParseMetricIDs()
|
|
for _, metricID = range mp.MetricIDs {
|
|
if len(sf) == 0 {
|
|
break
|
|
}
|
|
if metricID > sf[0] {
|
|
n := binarySearchUint64(sf, metricID)
|
|
sf = sf[n:]
|
|
if len(sf) == 0 {
|
|
break
|
|
}
|
|
}
|
|
if metricID < sf[0] {
|
|
continue
|
|
}
|
|
if isNegative {
|
|
metricIDs.Del(metricID)
|
|
} else {
|
|
metricIDs.Add(metricID)
|
|
}
|
|
sf = sf[1:]
|
|
}
|
|
}
|
|
if err := ts.Error(); err != nil {
|
|
return fmt.Errorf("error when searching for tag filter prefix %q: %s", prefix, err)
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func binarySearchUint64(a []uint64, v uint64) uint {
|
|
// Copy-pasted sort.Search from https://golang.org/src/sort/search.go?s=2246:2286#L49
|
|
i, j := uint(0), uint(len(a))
|
|
for i < j {
|
|
h := (i + j) >> 1
|
|
if h < uint(len(a)) && a[h] < v {
|
|
i = h + 1
|
|
} else {
|
|
j = h
|
|
}
|
|
}
|
|
return i
|
|
}
|
|
|
|
var errFallbackToMetricNameMatch = errors.New("fall back to updateMetricIDsByMetricNameMatch because of too many index scan loops")
|
|
|
|
var errMissingMetricIDsForDate = errors.New("missing metricIDs for date")
|
|
|
|
func (is *indexSearch) getMetricIDsForTimeRange(tr TimeRange, maxMetrics int) (*uint64set.Set, error) {
|
|
atomic.AddUint64(&is.db.recentHourMetricIDsSearchCalls, 1)
|
|
metricIDs, ok := is.getMetricIDsForRecentHours(tr, maxMetrics)
|
|
if ok {
|
|
// Fast path: tr covers the current and / or the previous hour.
|
|
// Return the full list of metric ids for this time range.
|
|
atomic.AddUint64(&is.db.recentHourMetricIDsSearchHits, 1)
|
|
return metricIDs, nil
|
|
}
|
|
|
|
// Slow path: collect the metric ids for all the days covering the given tr.
|
|
atomic.AddUint64(&is.db.dateMetricIDsSearchCalls, 1)
|
|
minDate := uint64(tr.MinTimestamp) / msecPerDay
|
|
maxDate := uint64(tr.MaxTimestamp) / msecPerDay
|
|
if maxDate-minDate > maxDaysForDateMetricIDs {
|
|
// Too much dates must be covered. Give up.
|
|
return nil, errMissingMetricIDsForDate
|
|
}
|
|
if minDate == maxDate {
|
|
// Fast path - query on a single day.
|
|
metricIDs, err := is.getMetricIDsForDate(minDate, maxMetrics)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
atomic.AddUint64(&is.db.dateMetricIDsSearchHits, 1)
|
|
return metricIDs, nil
|
|
}
|
|
|
|
// Slower path - query over multiple days in parallel.
|
|
metricIDs = &uint64set.Set{}
|
|
var wg sync.WaitGroup
|
|
var errGlobal error
|
|
var mu sync.Mutex // protects metricIDs + errGlobal from concurrent access below.
|
|
for minDate <= maxDate {
|
|
wg.Add(1)
|
|
go func(date uint64) {
|
|
defer wg.Done()
|
|
isLocal := is.db.getIndexSearch()
|
|
defer is.db.putIndexSearch(isLocal)
|
|
m, err := isLocal.getMetricIDsForDate(date, maxMetrics)
|
|
mu.Lock()
|
|
defer mu.Unlock()
|
|
if errGlobal != nil {
|
|
return
|
|
}
|
|
if err != nil {
|
|
errGlobal = err
|
|
return
|
|
}
|
|
if metricIDs.Len() < maxMetrics {
|
|
metricIDs.UnionMayOwn(m)
|
|
}
|
|
}(minDate)
|
|
minDate++
|
|
}
|
|
wg.Wait()
|
|
if errGlobal != nil {
|
|
return nil, errGlobal
|
|
}
|
|
atomic.AddUint64(&is.db.dateMetricIDsSearchHits, 1)
|
|
return metricIDs, nil
|
|
}
|
|
|
|
func (is *indexSearch) tryUpdatingMetricIDsForDateRange(metricIDs *uint64set.Set, tfs *TagFilters, tr TimeRange, maxMetrics int) error {
|
|
atomic.AddUint64(&is.db.dateRangeSearchCalls, 1)
|
|
minDate := uint64(tr.MinTimestamp) / msecPerDay
|
|
maxDate := uint64(tr.MaxTimestamp) / msecPerDay
|
|
if minDate < is.db.startDateForPerDayInvertedIndex || maxDate < minDate {
|
|
// Per-day inverted index doesn't cover the selected date range.
|
|
return errFallbackToMetricNameMatch
|
|
}
|
|
if maxDate-minDate > maxDaysForDateMetricIDs {
|
|
// Too much dates must be covered. Give up, since it may be slow.
|
|
return errFallbackToMetricNameMatch
|
|
}
|
|
if minDate == maxDate {
|
|
// Fast path - query only a single date.
|
|
m, err := is.getMetricIDsForDateAndFilters(minDate, tfs, maxMetrics)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
metricIDs.UnionMayOwn(m)
|
|
atomic.AddUint64(&is.db.dateRangeSearchHits, 1)
|
|
return nil
|
|
}
|
|
|
|
// Slower path - search for metricIDs for each day in parallel.
|
|
var wg sync.WaitGroup
|
|
var errGlobal error
|
|
var mu sync.Mutex // protects metricIDs + errGlobal vars from concurrent access below
|
|
for minDate <= maxDate {
|
|
wg.Add(1)
|
|
go func(date uint64) {
|
|
defer wg.Done()
|
|
isLocal := is.db.getIndexSearch()
|
|
defer is.db.putIndexSearch(isLocal)
|
|
m, err := isLocal.getMetricIDsForDateAndFilters(date, tfs, maxMetrics)
|
|
mu.Lock()
|
|
defer mu.Unlock()
|
|
if errGlobal != nil {
|
|
return
|
|
}
|
|
if err != nil {
|
|
if err == errFallbackToMetricNameMatch {
|
|
// The per-date search is too expensive. Probably it is faster to perform global search
|
|
// using metric name match.
|
|
errGlobal = err
|
|
return
|
|
}
|
|
dateStr := time.Unix(int64(date*24*3600), 0)
|
|
errGlobal = fmt.Errorf("cannot search for metricIDs for %s: %s", dateStr, err)
|
|
return
|
|
}
|
|
if metricIDs.Len() < maxMetrics {
|
|
metricIDs.UnionMayOwn(m)
|
|
}
|
|
}(minDate)
|
|
minDate++
|
|
}
|
|
wg.Wait()
|
|
if errGlobal != nil {
|
|
return errGlobal
|
|
}
|
|
atomic.AddUint64(&is.db.dateRangeSearchHits, 1)
|
|
return nil
|
|
}
|
|
|
|
func (is *indexSearch) getMetricIDsForDateAndFilters(date uint64, tfs *TagFilters, maxMetrics int) (*uint64set.Set, error) {
|
|
// Sort tfs by the number of matching filters from previous queries.
|
|
// This way we limit the amount of work below by applying more specific filters at first.
|
|
type tagFilterWithCount struct {
|
|
tf *tagFilter
|
|
count uint64
|
|
}
|
|
tfsWithCount := make([]tagFilterWithCount, len(tfs.tfs))
|
|
kb := &is.kb
|
|
var buf []byte
|
|
for i := range tfs.tfs {
|
|
tf := &tfs.tfs[i]
|
|
kb.B = appendDateTagFilterCacheKey(kb.B[:0], date, tf)
|
|
buf = is.db.metricIDsPerDateTagFilterCache.Get(buf[:0], kb.B)
|
|
count := uint64(0)
|
|
if len(buf) == 8 {
|
|
count = encoding.UnmarshalUint64(buf)
|
|
}
|
|
tfsWithCount[i] = tagFilterWithCount{
|
|
tf: tf,
|
|
count: count,
|
|
}
|
|
}
|
|
sort.Slice(tfsWithCount, func(i, j int) bool {
|
|
a, b := &tfsWithCount[i], &tfsWithCount[j]
|
|
if a.count != b.count {
|
|
return a.count < b.count
|
|
}
|
|
return a.tf.Less(b.tf)
|
|
})
|
|
|
|
// Populate metricIDs with the first non-negative filter.
|
|
var tfsPostponed []*tagFilter
|
|
var metricIDs *uint64set.Set
|
|
maxDateMetrics := maxMetrics * 50
|
|
tfsRemainingWithCount := tfsWithCount[:0]
|
|
for i := range tfsWithCount {
|
|
tf := tfsWithCount[i].tf
|
|
if tf.isNegative {
|
|
tfsRemainingWithCount = append(tfsRemainingWithCount, tfsWithCount[i])
|
|
continue
|
|
}
|
|
m, err := is.getMetricIDsForDateTagFilter(tf, date, tfs.commonPrefix, maxDateMetrics)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if m.Len() >= maxDateMetrics {
|
|
// Too many time series found by a single tag filter. Postpone applying this filter via metricName match.
|
|
tfsPostponed = append(tfsPostponed, tf)
|
|
continue
|
|
}
|
|
metricIDs = m
|
|
i++
|
|
for i < len(tfsWithCount) {
|
|
tfsRemainingWithCount = append(tfsRemainingWithCount, tfsWithCount[i])
|
|
i++
|
|
}
|
|
break
|
|
}
|
|
if metricIDs == nil {
|
|
// All the filters in tfs are negative or match too many time series.
|
|
// Populate all the metricIDs for the given (date),
|
|
// so later they can be filtered out with negative filters.
|
|
m, err := is.getMetricIDsForDate(date, maxDateMetrics)
|
|
if err != nil {
|
|
if err == errMissingMetricIDsForDate {
|
|
// Zero time series were written on the given date.
|
|
// It is OK, since (date, metricID) entries must exist for the given date
|
|
// according to startDateForPerDayInvertedIndex.
|
|
return nil, nil
|
|
}
|
|
return nil, fmt.Errorf("cannot obtain all the metricIDs: %s", err)
|
|
}
|
|
if m.Len() >= maxDateMetrics {
|
|
// Too many time series found for the given (date). Fall back to global search.
|
|
return nil, errFallbackToMetricNameMatch
|
|
}
|
|
metricIDs = m
|
|
}
|
|
|
|
// Intersect metricIDs with the rest of filters.
|
|
for i := range tfsRemainingWithCount {
|
|
tfWithCount := tfsRemainingWithCount[i]
|
|
if n := uint64(metricIDs.Len()); n < 1000 || (n < tfWithCount.count/maxIndexScanLoopsPerMetric && n < uint64(maxMetrics)/10) {
|
|
// 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 i < len(tfsRemainingWithCount) {
|
|
tfsPostponed = append(tfsPostponed, tfsRemainingWithCount[i].tf)
|
|
i++
|
|
}
|
|
break
|
|
}
|
|
tf := tfWithCount.tf
|
|
m, err := is.getMetricIDsForDateTagFilter(tf, date, tfs.commonPrefix, maxDateMetrics)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
if m.Len() >= maxDateMetrics {
|
|
// Too many time series found by a single tag filter. Postpone applying this filter via metricName match.
|
|
tfsPostponed = append(tfsPostponed, tf)
|
|
continue
|
|
}
|
|
if tf.isNegative {
|
|
metricIDs.Subtract(m)
|
|
} else {
|
|
metricIDs.Intersect(m)
|
|
}
|
|
if metricIDs.Len() == 0 {
|
|
// Short circuit - there is no need in applying the remaining filters to empty set.
|
|
return nil, nil
|
|
}
|
|
}
|
|
if len(tfsPostponed) > 0 {
|
|
if n := metricIDs.Len(); n > 50000 && n > maxMetrics/10 {
|
|
// It will be slow to perform metricName match on this number of time series.
|
|
// Fall back to global search.
|
|
return nil, errFallbackToMetricNameMatch
|
|
}
|
|
// Apply the postponed filters via metricName match.
|
|
var m uint64set.Set
|
|
if err := is.updateMetricIDsByMetricNameMatch(&m, metricIDs, tfsPostponed); err != nil {
|
|
return nil, err
|
|
}
|
|
return &m, nil
|
|
}
|
|
return metricIDs, nil
|
|
}
|
|
|
|
func (is *indexSearch) getMetricIDsForRecentHours(tr TimeRange, maxMetrics int) (*uint64set.Set, bool) {
|
|
minHour := uint64(tr.MinTimestamp) / msecPerHour
|
|
maxHour := uint64(tr.MaxTimestamp) / msecPerHour
|
|
hmCurr := is.db.currHourMetricIDs.Load().(*hourMetricIDs)
|
|
if maxHour == hmCurr.hour && minHour == maxHour && hmCurr.isFull {
|
|
// The tr fits the current hour.
|
|
// Return a copy of hmCurr.m, because the caller may modify
|
|
// the returned map.
|
|
if hmCurr.m.Len() > maxMetrics {
|
|
return nil, false
|
|
}
|
|
return hmCurr.m.Clone(), true
|
|
}
|
|
hmPrev := is.db.prevHourMetricIDs.Load().(*hourMetricIDs)
|
|
if maxHour == hmPrev.hour && minHour == maxHour && hmPrev.isFull {
|
|
// The tr fits the previous hour.
|
|
// Return a copy of hmPrev.m, because the caller may modify
|
|
// the returned map.
|
|
if hmPrev.m.Len() > maxMetrics {
|
|
return nil, false
|
|
}
|
|
return hmPrev.m.Clone(), true
|
|
}
|
|
if maxHour == hmCurr.hour && minHour == hmPrev.hour && hmCurr.isFull && hmPrev.isFull {
|
|
// The tr spans the previous and the current hours.
|
|
if hmCurr.m.Len()+hmPrev.m.Len() > maxMetrics {
|
|
return nil, false
|
|
}
|
|
metricIDs := hmCurr.m.Clone()
|
|
metricIDs.Union(hmPrev.m)
|
|
return metricIDs, true
|
|
}
|
|
return nil, false
|
|
}
|
|
|
|
func (db *indexDB) storeDateMetricID(date, metricID uint64) error {
|
|
is := db.getIndexSearch()
|
|
ok, err := is.hasDateMetricID(date, metricID)
|
|
db.putIndexSearch(is)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
if ok {
|
|
// Fast path: the (date, metricID) entry already exists in the db.
|
|
return nil
|
|
}
|
|
|
|
// Slow path: create (date, metricID) entries.
|
|
items := getIndexItems()
|
|
defer putIndexItems(items)
|
|
|
|
items.B = marshalCommonPrefix(items.B, nsPrefixDateToMetricID)
|
|
items.B = encoding.MarshalUint64(items.B, date)
|
|
items.B = encoding.MarshalUint64(items.B, metricID)
|
|
items.Next()
|
|
|
|
// Create per-day inverted index entries for metricID.
|
|
kb := kbPool.Get()
|
|
defer kbPool.Put(kb)
|
|
mn := GetMetricName()
|
|
defer PutMetricName(mn)
|
|
kb.B, err = db.searchMetricName(kb.B[:0], metricID)
|
|
if err != nil {
|
|
if err == io.EOF {
|
|
logger.Errorf("missing metricName by metricID %d; this could be the case after unclean shutdown; "+
|
|
"deleting the metricID, so it could be re-created next time", metricID)
|
|
if err := db.deleteMetricIDs([]uint64{metricID}); err != nil {
|
|
return fmt.Errorf("cannot delete metricID %d after unclean shutdown: %s", metricID, err)
|
|
}
|
|
return nil
|
|
}
|
|
return fmt.Errorf("cannot find metricName by metricID %d: %s", metricID, err)
|
|
}
|
|
if err = mn.Unmarshal(kb.B); err != nil {
|
|
return fmt.Errorf("cannot unmarshal metricName %q obtained by metricID %d: %s", metricID, kb.B, err)
|
|
}
|
|
kb.B = marshalCommonPrefix(kb.B[:0], nsPrefixDateTagToMetricIDs)
|
|
kb.B = encoding.MarshalUint64(kb.B, date)
|
|
|
|
items.B = append(items.B, kb.B...)
|
|
items.B = marshalTagValue(items.B, nil)
|
|
items.B = marshalTagValue(items.B, mn.MetricGroup)
|
|
items.B = encoding.MarshalUint64(items.B, metricID)
|
|
items.Next()
|
|
for i := range mn.Tags {
|
|
tag := &mn.Tags[i]
|
|
items.B = append(items.B, kb.B...)
|
|
items.B = tag.Marshal(items.B)
|
|
items.B = encoding.MarshalUint64(items.B, metricID)
|
|
items.Next()
|
|
}
|
|
|
|
if err = db.tb.AddItems(items.Items); err != nil {
|
|
return fmt.Errorf("cannot add per-day entires for metricID %d: %s", metricID, err)
|
|
}
|
|
return nil
|
|
}
|
|
|
|
func (is *indexSearch) hasDateMetricID(date, metricID uint64) (bool, error) {
|
|
ts := &is.ts
|
|
kb := &is.kb
|
|
kb.B = marshalCommonPrefix(kb.B[:0], nsPrefixDateToMetricID)
|
|
kb.B = encoding.MarshalUint64(kb.B, date)
|
|
kb.B = encoding.MarshalUint64(kb.B, metricID)
|
|
if err := ts.FirstItemWithPrefix(kb.B); err != nil {
|
|
if err == io.EOF {
|
|
return false, nil
|
|
}
|
|
return false, fmt.Errorf("error when searching for (date=%d, metricID=%d) entry: %s", date, metricID, err)
|
|
}
|
|
if string(ts.Item) != string(kb.B) {
|
|
return false, fmt.Errorf("unexpected entry for (date=%d, metricID=%d); got %q; want %q", date, metricID, ts.Item, kb.B)
|
|
}
|
|
return true, nil
|
|
}
|
|
|
|
func (is *indexSearch) getMetricIDsForDateTagFilter(tf *tagFilter, date uint64, commonPrefix []byte, maxMetrics int) (*uint64set.Set, error) {
|
|
// Augument tag filter prefix for per-date search instead of global search.
|
|
if !bytes.HasPrefix(tf.prefix, commonPrefix) {
|
|
logger.Panicf("BUG: unexpected tf.prefix %q; must start with commonPrefix %q", tf.prefix, commonPrefix)
|
|
}
|
|
kb := kbPool.Get()
|
|
defer kbPool.Put(kb)
|
|
kb.B = marshalCommonPrefix(kb.B[:0], nsPrefixDateTagToMetricIDs)
|
|
kb.B = encoding.MarshalUint64(kb.B, date)
|
|
kb.B = append(kb.B, tf.prefix[len(commonPrefix):]...)
|
|
|
|
tfNew := *tf
|
|
tfNew.isNegative = false // isNegative for the original tf is handled by the caller.
|
|
tfNew.prefix = kb.B
|
|
metricIDs, err := is.getMetricIDsForTagFilter(&tfNew, maxMetrics)
|
|
|
|
// Store the number of matching metricIDs in the cache in order to sort tag filters
|
|
// in ascending number of matching metricIDs on the next search.
|
|
is.kb.B = appendDateTagFilterCacheKey(is.kb.B[:0], date, tf)
|
|
metricIDsLen := uint64(metricIDs.Len())
|
|
if err != nil {
|
|
// Set metricIDsLen to maxMetrics, so the given entry will be moved to the end
|
|
// of tag filters on the next search.
|
|
metricIDsLen = uint64(maxMetrics)
|
|
}
|
|
kb.B = encoding.MarshalUint64(kb.B[:0], metricIDsLen)
|
|
is.db.metricIDsPerDateTagFilterCache.Set(is.kb.B, kb.B)
|
|
return metricIDs, err
|
|
}
|
|
|
|
func appendDateTagFilterCacheKey(dst []byte, date uint64, tf *tagFilter) []byte {
|
|
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 = marshalCommonPrefix(kb.B[:0], nsPrefixDateTagToMetricIDs)
|
|
kb.B = encoding.MarshalUint64(kb.B, date)
|
|
kb.B = marshalTagValue(kb.B, nil)
|
|
var metricIDs uint64set.Set
|
|
if err := is.updateMetricIDsForPrefix(kb.B, &metricIDs, maxMetrics); err != nil {
|
|
return nil, err
|
|
}
|
|
if metricIDs.Len() == 0 {
|
|
// There are no metricIDs for the given date.
|
|
// This may be the case for old data where (data, __name__=value)->metricIDs entries weren't available.
|
|
return nil, errMissingMetricIDsForDate
|
|
}
|
|
return &metricIDs, nil
|
|
}
|
|
|
|
func (is *indexSearch) updateMetricIDsAll(metricIDs *uint64set.Set, maxMetrics int) error {
|
|
kb := kbPool.Get()
|
|
defer kbPool.Put(kb)
|
|
// Extract all the metricIDs from (__name__=value)->metricIDs entries.
|
|
kb.B = marshalCommonPrefix(kb.B[:0], nsPrefixTagToMetricIDs)
|
|
kb.B = marshalTagValue(kb.B, nil)
|
|
return is.updateMetricIDsForPrefix(kb.B, metricIDs, maxMetrics)
|
|
}
|
|
|
|
func (is *indexSearch) updateMetricIDsForPrefix(prefix []byte, metricIDs *uint64set.Set, maxMetrics int) error {
|
|
ts := &is.ts
|
|
mp := &is.mp
|
|
ts.Seek(prefix)
|
|
for ts.NextItem() {
|
|
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()
|
|
for _, metricID := range mp.MetricIDs {
|
|
metricIDs.Add(metricID)
|
|
}
|
|
if metricIDs.Len() >= maxMetrics {
|
|
return nil
|
|
}
|
|
}
|
|
if err := ts.Error(); err != nil {
|
|
return fmt.Errorf("error when searching for all metricIDs by prefix %q: %s", prefix, err)
|
|
}
|
|
return nil
|
|
}
|
|
|
|
// The maximum number of index scan loops.
|
|
// Bigger number of loops is slower than updateMetricIDsByMetricNameMatch
|
|
// over the found metrics.
|
|
const maxIndexScanLoopsPerMetric = 100
|
|
|
|
// The maximum number of slow index scan loops.
|
|
// Bigger number of loops is slower than updateMetricIDsByMetricNameMatch
|
|
// over the found metrics.
|
|
const maxIndexScanSlowLoopsPerMetric = 20
|
|
|
|
func (is *indexSearch) intersectMetricIDsWithTagFilter(tf *tagFilter, filter *uint64set.Set) (*uint64set.Set, error) {
|
|
if filter.Len() == 0 {
|
|
return nil, nil
|
|
}
|
|
kb := &is.kb
|
|
filterLenRounded := (uint64(filter.Len()) / 1024) * 1024
|
|
kb.B = append(kb.B[:0], uselessTagIntersectKeyPrefix)
|
|
kb.B = encoding.MarshalUint64(kb.B, filterLenRounded)
|
|
kb.B = tf.Marshal(kb.B)
|
|
if len(is.db.uselessTagFiltersCache.Get(nil, kb.B)) > 0 {
|
|
// Skip useless work, since the intersection will return
|
|
// errFallbackToMetricNameMatc for the given filter.
|
|
return nil, errFallbackToMetricNameMatch
|
|
}
|
|
metricIDs, err := is.intersectMetricIDsWithTagFilterNocache(tf, filter)
|
|
if err == nil {
|
|
return metricIDs, err
|
|
}
|
|
if err != errFallbackToMetricNameMatch {
|
|
return nil, err
|
|
}
|
|
kb.B = append(kb.B[:0], uselessTagIntersectKeyPrefix)
|
|
kb.B = encoding.MarshalUint64(kb.B, filterLenRounded)
|
|
kb.B = tf.Marshal(kb.B)
|
|
is.db.uselessTagFiltersCache.Set(kb.B, uselessTagFilterCacheValue)
|
|
return nil, errFallbackToMetricNameMatch
|
|
}
|
|
|
|
func (is *indexSearch) intersectMetricIDsWithTagFilterNocache(tf *tagFilter, filter *uint64set.Set) (*uint64set.Set, error) {
|
|
metricIDs := filter
|
|
if !tf.isNegative {
|
|
metricIDs = &uint64set.Set{}
|
|
}
|
|
if len(tf.orSuffixes) > 0 {
|
|
// Fast path for orSuffixes - seek for rows for each value from orSuffixes.
|
|
if err := is.updateMetricIDsForOrSuffixesWithFilter(tf, metricIDs, filter); err != nil {
|
|
if err == errFallbackToMetricNameMatch {
|
|
return nil, err
|
|
}
|
|
return nil, fmt.Errorf("error when intersecting metricIDs for tagFilter in fast path: %s; tagFilter=%s", err, tf)
|
|
}
|
|
return metricIDs, nil
|
|
}
|
|
|
|
// Slow path - scan for all the rows with the given prefix.
|
|
maxLoops := filter.Len() * maxIndexScanSlowLoopsPerMetric
|
|
err := is.getMetricIDsForTagFilterSlow(tf, maxLoops, func(metricID uint64) bool {
|
|
if tf.isNegative {
|
|
// filter must be equal to metricIDs
|
|
metricIDs.Del(metricID)
|
|
return true
|
|
}
|
|
if filter.Has(metricID) {
|
|
metricIDs.Add(metricID)
|
|
}
|
|
return true
|
|
})
|
|
if err != nil {
|
|
if err == errFallbackToMetricNameMatch {
|
|
return nil, err
|
|
}
|
|
return nil, fmt.Errorf("error when intersecting metricIDs for tagFilter in slow path: %s; tagFilter=%s", err, tf)
|
|
}
|
|
return metricIDs, nil
|
|
}
|
|
|
|
var kbPool bytesutil.ByteBufferPool
|
|
|
|
// Returns local unique MetricID.
|
|
func getUniqueUint64() uint64 {
|
|
return atomic.AddUint64(&uniqueUint64, 1)
|
|
}
|
|
|
|
// This number mustn't go backwards on restarts, otherwise metricID
|
|
// collisions are possible. So don't change time on the server
|
|
// between VictoriaMetrics restarts.
|
|
var uniqueUint64 = uint64(time.Now().UnixNano())
|
|
|
|
func marshalCommonPrefix(dst []byte, nsPrefix byte) []byte {
|
|
dst = append(dst, nsPrefix)
|
|
return dst
|
|
}
|
|
|
|
func unmarshalCommonPrefix(src []byte) ([]byte, byte, error) {
|
|
if len(src) < commonPrefixLen {
|
|
return nil, 0, fmt.Errorf("cannot unmarshal common prefix from %d bytes; need at least %d bytes; data=%X", len(src), commonPrefixLen, src)
|
|
}
|
|
prefix := src[0]
|
|
return src[commonPrefixLen:], prefix, nil
|
|
}
|
|
|
|
// 1 byte for prefix
|
|
const commonPrefixLen = 1
|
|
|
|
type tagToMetricIDsRowParser struct {
|
|
// NSPrefix contains the first byte parsed from the row after Init call.
|
|
// This is either nsPrefixTagToMetricIDs or nsPrefixDateTagToMetricIDs.
|
|
NSPrefix byte
|
|
|
|
// Date contains parsed date for nsPrefixDateTagToMetricIDs rows after Init call
|
|
Date uint64
|
|
|
|
// MetricIDs contains parsed MetricIDs after ParseMetricIDs call
|
|
MetricIDs []uint64
|
|
|
|
// Tag contains parsed tag after Init call
|
|
Tag Tag
|
|
|
|
// tail contains the remaining unparsed metricIDs
|
|
tail []byte
|
|
}
|
|
|
|
func (mp *tagToMetricIDsRowParser) Reset() {
|
|
mp.NSPrefix = 0
|
|
mp.Date = 0
|
|
mp.MetricIDs = mp.MetricIDs[:0]
|
|
mp.Tag.Reset()
|
|
mp.tail = nil
|
|
}
|
|
|
|
// Init initializes mp from b, which should contain encoded tag->metricIDs row.
|
|
//
|
|
// b cannot be re-used until Reset call.
|
|
func (mp *tagToMetricIDsRowParser) Init(b []byte, nsPrefixExpected byte) error {
|
|
tail, nsPrefix, err := unmarshalCommonPrefix(b)
|
|
if err != nil {
|
|
return fmt.Errorf("invalid tag->metricIDs row %q: %s", 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: %s", b, err)
|
|
}
|
|
return mp.InitOnlyTail(b, tail)
|
|
}
|
|
|
|
// MarshalPrefix marshals row prefix without tail to dst.
|
|
func (mp *tagToMetricIDsRowParser) MarshalPrefix(dst []byte) []byte {
|
|
dst = marshalCommonPrefix(dst, mp.NSPrefix)
|
|
if mp.NSPrefix == nsPrefixDateTagToMetricIDs {
|
|
dst = encoding.MarshalUint64(dst, mp.Date)
|
|
}
|
|
dst = mp.Tag.Marshal(dst)
|
|
return dst
|
|
}
|
|
|
|
// InitOnlyTail initializes mp.tail from tail.
|
|
//
|
|
// b must contain tag->metricIDs row.
|
|
// b cannot be re-used until Reset call.
|
|
func (mp *tagToMetricIDsRowParser) InitOnlyTail(b, tail []byte) error {
|
|
if len(tail) == 0 {
|
|
return fmt.Errorf("missing metricID in the tag->metricIDs row %q", b)
|
|
}
|
|
if len(tail)%8 != 0 {
|
|
return fmt.Errorf("invalid tail length in the tag->metricIDs row; got %d bytes; must be multiple of 8 bytes", len(tail))
|
|
}
|
|
mp.tail = tail
|
|
return nil
|
|
}
|
|
|
|
// EqualPrefix returns true if prefixes for mp and x are equal.
|
|
//
|
|
// Prefix contains (tag)
|
|
func (mp *tagToMetricIDsRowParser) EqualPrefix(x *tagToMetricIDsRowParser) bool {
|
|
if !mp.Tag.Equal(&x.Tag) {
|
|
return false
|
|
}
|
|
return mp.Date == x.Date && mp.NSPrefix == x.NSPrefix
|
|
}
|
|
|
|
// FirstAndLastMetricIDs returns the first and the last metricIDs in the mp.tail.
|
|
func (mp *tagToMetricIDsRowParser) FirstAndLastMetricIDs() (uint64, uint64) {
|
|
tail := mp.tail
|
|
if len(tail) < 8 {
|
|
logger.Panicf("BUG: cannot unmarshal metricID from %d bytes; need 8 bytes", len(tail))
|
|
return 0, 0
|
|
}
|
|
firstMetricID := encoding.UnmarshalUint64(tail)
|
|
lastMetricID := firstMetricID
|
|
if len(tail) > 8 {
|
|
lastMetricID = encoding.UnmarshalUint64(tail[len(tail)-8:])
|
|
}
|
|
return firstMetricID, lastMetricID
|
|
}
|
|
|
|
// MetricIDsLen returns the number of MetricIDs in the mp.tail
|
|
func (mp *tagToMetricIDsRowParser) MetricIDsLen() int {
|
|
return len(mp.tail) / 8
|
|
}
|
|
|
|
// ParseMetricIDs parses MetricIDs from mp.tail into mp.MetricIDs.
|
|
func (mp *tagToMetricIDsRowParser) ParseMetricIDs() {
|
|
tail := mp.tail
|
|
mp.MetricIDs = mp.MetricIDs[:0]
|
|
n := len(tail) / 8
|
|
if n <= cap(mp.MetricIDs) {
|
|
mp.MetricIDs = mp.MetricIDs[:n]
|
|
} else {
|
|
mp.MetricIDs = append(mp.MetricIDs[:cap(mp.MetricIDs)], make([]uint64, n-cap(mp.MetricIDs))...)
|
|
}
|
|
metricIDs := mp.MetricIDs
|
|
_ = metricIDs[n-1]
|
|
for i := 0; i < n; i++ {
|
|
if len(tail) < 8 {
|
|
logger.Panicf("BUG: tail cannot be smaller than 8 bytes; got %d bytes; tail=%X", len(tail), tail)
|
|
return
|
|
}
|
|
metricID := encoding.UnmarshalUint64(tail)
|
|
metricIDs[i] = metricID
|
|
tail = tail[8:]
|
|
}
|
|
}
|
|
|
|
// IsDeletedTag verifies whether the tag from mp is deleted according to dmis.
|
|
//
|
|
// dmis must contain deleted MetricIDs.
|
|
func (mp *tagToMetricIDsRowParser) IsDeletedTag(dmis *uint64set.Set) bool {
|
|
if dmis.Len() == 0 {
|
|
return false
|
|
}
|
|
mp.ParseMetricIDs()
|
|
for _, metricID := range mp.MetricIDs {
|
|
if !dmis.Has(metricID) {
|
|
return false
|
|
}
|
|
}
|
|
return true
|
|
}
|
|
|
|
func mergeTagToMetricIDsRows(data []byte, items [][]byte) ([]byte, [][]byte) {
|
|
data, items = mergeTagToMetricIDsRowsInternal(data, items, nsPrefixTagToMetricIDs)
|
|
data, items = mergeTagToMetricIDsRowsInternal(data, items, nsPrefixDateTagToMetricIDs)
|
|
return data, items
|
|
}
|
|
|
|
func mergeTagToMetricIDsRowsInternal(data []byte, items [][]byte, nsPrefix byte) ([]byte, [][]byte) {
|
|
// 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]
|
|
if len(firstItem) > 0 && firstItem[0] > nsPrefix {
|
|
return data, items
|
|
}
|
|
lastItem := items[len(items)-1]
|
|
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, item := range items {
|
|
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 adjancent blocks.
|
|
dstData, dstItems = tmm.flushPendingMetricIDs(dstData, dstItems, mpPrev)
|
|
dstData = append(dstData, item...)
|
|
dstItems = append(dstItems, dstData[len(dstData)-len(item):])
|
|
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, dstData[len(dstData)-len(item):])
|
|
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(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 = dstItems[:0]
|
|
// tmm.itemsCopy can point to overwritten data, so it must be updated
|
|
// to point to real data from tmm.dataCopy.
|
|
buf := dstData
|
|
for _, item := range tmm.itemsCopy {
|
|
dstItems = append(dstItems, buf[:len(item)])
|
|
buf = buf[len(item):]
|
|
}
|
|
if !checkItemsSorted(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(items [][]byte) bool {
|
|
if len(items) == 0 {
|
|
return true
|
|
}
|
|
prevItem := items[0]
|
|
for _, currItem := range items[1:] {
|
|
if string(prevItem) > string(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 [][]byte
|
|
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 [][]byte, mp *tagToMetricIDsRowParser) ([]byte, [][]byte) {
|
|
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, dstData[dstDataLen:])
|
|
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
|