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lib/storage: tune the logic for pre-populating of the per-day inverted index for the next day
- Postpone the pre-poulation to the last hour of the current day. This should reduce the number of useless entries in the next per-day index, which shouldn't be created there, when the corresponding time series are stopped to be pushed during the current day. - Make the pre-population more smooth in time by using the hash of MetricID instead of MetricID itself when calculating the need for for the given MetricID pre-population. - Sync the logic for pre-population of the next day inverted index with the logic of pre-populating tsid cache after indexdb rotation. This should improve code maintainability. Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/430 Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/1401
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@ -378,13 +378,14 @@ func (db *indexDB) putMetricNameToCache(metricID uint64, metricName []byte) {
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//
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//
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// It returns true if new index entry was created, and false if it was skipped.
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// It returns true if new index entry was created, and false if it was skipped.
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func (db *indexDB) maybeCreateIndexes(tsid *TSID, metricNameRaw []byte) (bool, error) {
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func (db *indexDB) maybeCreateIndexes(tsid *TSID, metricNameRaw []byte) (bool, error) {
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h := xxhash.Sum64(metricNameRaw)
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p := float64(uint32(h)) / (1 << 32)
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pMin := float64(fasttime.UnixTimestamp()-db.rotationTimestamp) / 3600
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pMin := float64(fasttime.UnixTimestamp()-db.rotationTimestamp) / 3600
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if pMin < 1 {
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p := float64(uint32(fastHashUint64(tsid.MetricID))) / (1 << 32)
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if p > pMin {
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if p > pMin {
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// Fast path: there is no need creating indexes for metricNameRaw yet.
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// Fast path: there is no need creating indexes for metricNameRaw yet.
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return false, nil
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return false, nil
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}
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}
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}
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// Slow path: create indexes for (tsid, metricNameRaw) at db.
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// Slow path: create indexes for (tsid, metricNameRaw) at db.
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mn := GetMetricName()
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mn := GetMetricName()
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if err := mn.UnmarshalRaw(metricNameRaw); err != nil {
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if err := mn.UnmarshalRaw(metricNameRaw); err != nil {
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@ -2099,7 +2099,10 @@ func (s *Storage) updatePerDateData(rows []rawRow, mrs []*MetricRow) error {
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hmPrev := s.prevHourMetricIDs.Load().(*hourMetricIDs)
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hmPrev := s.prevHourMetricIDs.Load().(*hourMetricIDs)
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hmPrevDate := hmPrev.hour / 24
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hmPrevDate := hmPrev.hour / 24
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nextDayMetricIDs := &s.nextDayMetricIDs.Load().(*byDateMetricIDEntry).v
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nextDayMetricIDs := &s.nextDayMetricIDs.Load().(*byDateMetricIDEntry).v
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todayShare16bit := uint64((float64(fasttime.UnixTimestamp()%(3600*24)) / (3600 * 24)) * (1 << 16))
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ts := fasttime.UnixTimestamp()
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// Start pre-populating the next per-day inverted index during the last hour of the current day.
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// pMin linearly increases from 0 to 1 during the last hour of the day.
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pMin := (float64(ts%(3600*24)) / 3600) - 23
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type pendingDateMetricID struct {
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type pendingDateMetricID struct {
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date uint64
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date uint64
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metricID uint64
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metricID uint64
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@ -2130,12 +2133,13 @@ func (s *Storage) updatePerDateData(rows []rawRow, mrs []*MetricRow) error {
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// Fast path: the metricID is in the current hour cache.
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// Fast path: the metricID is in the current hour cache.
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// This means the metricID has been already added to per-day inverted index.
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// This means the metricID has been already added to per-day inverted index.
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// Gradually pre-populate per-day inverted index for the next day
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// Gradually pre-populate per-day inverted index for the next day during the last hour of the current day.
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// during the current day.
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// This should reduce CPU usage spike and slowdown at the beginning of the next day
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// This should reduce CPU usage spike and slowdown at the beginning of the next day
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// when entries for all the active time series must be added to the index.
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// when entries for all the active time series must be added to the index.
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// This should address https://github.com/VictoriaMetrics/VictoriaMetrics/issues/430 .
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// This should address https://github.com/VictoriaMetrics/VictoriaMetrics/issues/430 .
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if todayShare16bit > (metricID&(1<<16-1)) && !nextDayMetricIDs.Has(metricID) {
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if pMin > 0 {
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p := float64(uint32(fastHashUint64(metricID))) / (1 << 32)
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if p < pMin && !nextDayMetricIDs.Has(metricID) {
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pendingDateMetricIDs = append(pendingDateMetricIDs, pendingDateMetricID{
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pendingDateMetricIDs = append(pendingDateMetricIDs, pendingDateMetricID{
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date: date + 1,
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date: date + 1,
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metricID: metricID,
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metricID: metricID,
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@ -2145,6 +2149,7 @@ func (s *Storage) updatePerDateData(rows []rawRow, mrs []*MetricRow) error {
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})
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})
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pendingNextDayMetricIDs = append(pendingNextDayMetricIDs, metricID)
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pendingNextDayMetricIDs = append(pendingNextDayMetricIDs, metricID)
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}
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}
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}
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continue
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continue
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}
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}
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e := pendingHourMetricIDEntry{
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e := pendingHourMetricIDEntry{
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@ -2253,6 +2258,13 @@ func (s *Storage) updatePerDateData(rows []rawRow, mrs []*MetricRow) error {
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return firstError
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return firstError
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}
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}
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func fastHashUint64(x uint64) uint64 {
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x ^= x >> 12 // a
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x ^= x << 25 // b
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x ^= x >> 27 // c
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return x * 2685821657736338717
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}
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// dateMetricIDCache is fast cache for holding (date, metricID) entries.
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// dateMetricIDCache is fast cache for holding (date, metricID) entries.
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//
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//
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// It should be faster than map[date]*uint64set.Set on multicore systems.
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// It should be faster than map[date]*uint64set.Set on multicore systems.
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