mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
synced 2024-11-21 14:44:00 +00:00
lib/logstorage: optimize 'stats by(...)' calculations for by(...) fields with millions of unique values on multi-CPU systems
- Parallelize merging of per-CPU `stats by(...)` result shards. - Parallelize writing `stats by(...)` results to the next pipe.
This commit is contained in:
parent
192c07f76a
commit
c4b2fdff70
3 changed files with 200 additions and 59 deletions
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@ -16,7 +16,8 @@ according to [these docs](https://docs.victoriametrics.com/victorialogs/quicksta
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## tip
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* FEATURE: add basic [alerting rules](https://github.com/VictoriaMetrics/VictoriaMetrics/blob/master/deployment/docker/alerts-vlogs.yml) for VictoriaLogs process. See details at [monitoring docs](https://docs.victoriametrics.com/victorialogs/index.html#monitoring).
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* FEATURE: improve [`top` pipe](https://docs.victoriametrics.com/victorialogs/logsql/#top-pipe) performance on multi-CPU hosts when it is applied to [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model) with big number of unique values. For example, `_time:1d | top 5 (user_id)` should be executed much faster now when `user_id` field contains millions of unique values.
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* FEATURE: improve [`stats` pipe](https://docs.victoriametrics.com/victorialogs/logsql/#stats-pipe) performance on systems with many CPU cores when `by(...)` fields contain big number of unique values. For example, `_time:1d | stats by (user_id) count() x` should be executed much faster when `user_id` field contains millions of unique values.
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* FEATURE: improve [`top` pipe](https://docs.victoriametrics.com/victorialogs/logsql/#top-pipe) performance on systems with many CPU cores when it is applied to [log fields](https://docs.victoriametrics.com/victorialogs/keyconcepts/#data-model) with big number of unique values. For example, `_time:1d | top 5 (user_id)` should be executed much faster when `user_id` field contains millions of unique values.
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## [v0.36.0](https://github.com/VictoriaMetrics/VictoriaMetrics/releases/tag/v0.36.0-victorialogs)
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@ -3,9 +3,12 @@ package logstorage
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import (
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"fmt"
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"strings"
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"sync"
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"sync/atomic"
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"unsafe"
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"github.com/cespare/xxhash/v2"
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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/logger"
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@ -425,40 +428,38 @@ func (psp *pipeStatsProcessor) flush() error {
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return fmt.Errorf("cannot calculate [%s], since it requires more than %dMB of memory", psp.ps.String(), psp.maxStateSize/(1<<20))
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}
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// Merge states across shards
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shards := psp.shards
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shardMain := &shards[0]
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shardMain.init()
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m := shardMain.m
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shards = shards[1:]
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for i := range shards {
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shard := &shards[i]
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for key, psg := range shard.m {
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// shard.m may be quite big, so this loop can take a lot of time and CPU.
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// Stop processing data as soon as stopCh is closed without wasting additional CPU time.
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// Merge states across shards in parallel
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ms, err := psp.mergeShardsParallel()
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if err != nil {
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return err
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}
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if needStop(psp.stopCh) {
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return nil
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}
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spgBase := m[key]
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if spgBase == nil {
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m[key] = psg
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} else {
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for i, sfp := range spgBase.sfps {
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sfp.mergeState(psg.sfps[i])
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}
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}
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}
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}
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// Write per-group states to ppNext
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byFields := psp.ps.byFields
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if len(byFields) == 0 && len(m) == 0 {
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if len(psp.ps.byFields) == 0 && len(ms) == 0 {
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// Special case - zero matching rows.
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_ = shardMain.getPipeStatsGroup(nil)
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m = shardMain.m
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psp.shards[0].init()
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_ = psp.shards[0].getPipeStatsGroup(nil)
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ms = append(ms, psp.shards[0].m)
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}
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// Write the calculated stats in parallel to the next pipe.
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var wg sync.WaitGroup
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for i, m := range ms {
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wg.Add(1)
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go func(workerID uint) {
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defer wg.Done()
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psp.writeShardData(workerID, m)
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}(uint(i))
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}
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wg.Wait()
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return nil
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}
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func (psp *pipeStatsProcessor) writeShardData(workerID uint, m map[string]*pipeStatsGroup) {
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byFields := psp.ps.byFields
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rcs := make([]resultColumn, 0, len(byFields)+len(psp.ps.funcs))
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for _, bf := range byFields {
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rcs = appendResultColumnWithName(rcs, bf.name)
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@ -475,7 +476,7 @@ func (psp *pipeStatsProcessor) flush() error {
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// m may be quite big, so this loop can take a lot of time and CPU.
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// Stop processing data as soon as stopCh is closed without wasting additional CPU time.
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if needStop(psp.stopCh) {
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return nil
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return
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}
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// Unmarshal values for byFields from key.
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@ -511,7 +512,7 @@ func (psp *pipeStatsProcessor) flush() error {
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if valuesLen >= 1_000_000 {
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br.setResultColumns(rcs, rowsCount)
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rowsCount = 0
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psp.ppNext.writeBlock(0, &br)
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psp.ppNext.writeBlock(workerID, &br)
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br.reset()
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for i := range rcs {
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rcs[i].resetValues()
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@ -521,9 +522,134 @@ func (psp *pipeStatsProcessor) flush() error {
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}
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br.setResultColumns(rcs, rowsCount)
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psp.ppNext.writeBlock(0, &br)
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psp.ppNext.writeBlock(workerID, &br)
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}
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return nil
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func (psp *pipeStatsProcessor) mergeShardsParallel() ([]map[string]*pipeStatsGroup, error) {
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shards := psp.shards
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shardsLen := len(shards)
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if shardsLen == 1 {
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var ms []map[string]*pipeStatsGroup
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shards[0].init()
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if len(shards[0].m) > 0 {
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ms = append(ms, shards[0].m)
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}
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return ms, nil
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}
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var wg sync.WaitGroup
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perShardMaps := make([][]map[string]*pipeStatsGroup, shardsLen)
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for i := range shards {
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wg.Add(1)
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go func(idx int) {
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defer wg.Done()
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shardMaps := make([]map[string]*pipeStatsGroup, shardsLen)
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for i := range shardMaps {
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shardMaps[i] = make(map[string]*pipeStatsGroup)
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}
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shards[idx].init()
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n := int64(0)
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nTotal := int64(0)
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for k, psg := range shards[idx].m {
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if needStop(psp.stopCh) {
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return
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}
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h := xxhash.Sum64(bytesutil.ToUnsafeBytes(k))
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m := shardMaps[h%uint64(len(shardMaps))]
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n += updatePipeStatsMap(m, k, psg)
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if n > stateSizeBudgetChunk {
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if nRemaining := psp.stateSizeBudget.Add(-n); nRemaining < 0 {
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return
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}
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nTotal += n
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n = 0
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}
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}
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nTotal += n
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psp.stateSizeBudget.Add(-n)
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perShardMaps[idx] = shardMaps
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// Clean the original map and return its state size budget back.
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shards[idx].m = nil
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psp.stateSizeBudget.Add(nTotal)
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}(i)
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}
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wg.Wait()
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if needStop(psp.stopCh) {
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return nil, nil
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}
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if n := psp.stateSizeBudget.Load(); n < 0 {
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return nil, fmt.Errorf("cannot calculate [%s], since it requires more than %dMB of memory", psp.ps.String(), psp.maxStateSize/(1<<20))
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}
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// Merge per-shard entries into perShardMaps[0]
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for i := range perShardMaps {
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wg.Add(1)
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go func(idx int) {
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defer wg.Done()
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m := perShardMaps[0][idx]
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for i := 1; i < len(perShardMaps); i++ {
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n := int64(0)
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nTotal := int64(0)
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for k, psg := range perShardMaps[i][idx] {
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if needStop(psp.stopCh) {
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return
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}
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n += updatePipeStatsMap(m, k, psg)
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if n > stateSizeBudgetChunk {
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if nRemaining := psp.stateSizeBudget.Add(-n); nRemaining < 0 {
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return
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}
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nTotal += n
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n = 0
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}
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}
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nTotal += n
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psp.stateSizeBudget.Add(-n)
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// Clean the original map and return its state size budget back.
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perShardMaps[i][idx] = nil
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psp.stateSizeBudget.Add(nTotal)
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}
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}(i)
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}
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wg.Wait()
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if needStop(psp.stopCh) {
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return nil, nil
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}
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if n := psp.stateSizeBudget.Load(); n < 0 {
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return nil, fmt.Errorf("cannot calculate [%s], since it requires more than %dMB of memory", psp.ps.String(), psp.maxStateSize/(1<<20))
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}
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// Filter out maps without entries
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ms := perShardMaps[0]
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result := ms[:0]
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for _, m := range ms {
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if len(m) > 0 {
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result = append(result, m)
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}
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}
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return result, nil
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}
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func updatePipeStatsMap(m map[string]*pipeStatsGroup, k string, psgSrc *pipeStatsGroup) int64 {
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psgDst := m[k]
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if psgDst != nil {
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for i, sfp := range psgDst.sfps {
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sfp.mergeState(psgSrc.sfps[i])
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}
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return 0
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}
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m[k] = psgSrc
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return int64(unsafe.Sizeof(k) + unsafe.Sizeof(psgSrc))
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}
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func parsePipeStats(lex *lexer, needStatsKeyword bool) (*pipeStats, error) {
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@ -201,8 +201,8 @@ func (shard *pipeTopProcessorShard) writeBlock(br *blockResult) {
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func (shard *pipeTopProcessorShard) updateState(v string, hits uint64) {
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m := shard.getM()
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pHits, ok := m[v]
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if !ok {
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pHits := m[v]
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if pHits == nil {
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vCopy := strings.Clone(v)
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hits := uint64(0)
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pHits = &hits
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if n := ptp.stateSizeBudget.Load(); n <= 0 {
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return fmt.Errorf("cannot calculate [%s], since it requires more than %dMB of memory", ptp.pt.String(), ptp.maxStateSize/(1<<20))
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}
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limit := ptp.pt.limit
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if limit == 0 {
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return nil
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}
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// merge state across shards in parallel
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var entries []*pipeTopEntry
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if len(ptp.shards) == 1 {
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entries = getTopEntries(ptp.shards[0].getM(), limit, ptp.stopCh)
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} else {
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es, err := ptp.getTopEntriesParallel(limit)
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entries, err := ptp.mergeShardsParallel()
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if err != nil {
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return err
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}
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entries = es
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}
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if needStop(ptp.stopCh) {
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return nil
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}
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return nil
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}
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func (ptp *pipeTopProcessor) getTopEntriesParallel(limit uint64) ([]*pipeTopEntry, error) {
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func (ptp *pipeTopProcessor) mergeShardsParallel() ([]*pipeTopEntry, error) {
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limit := ptp.pt.limit
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if limit == 0 {
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return nil, nil
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}
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shards := ptp.shards
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shardsLen := len(shards)
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if shardsLen == 1 {
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entries := getTopEntries(shards[0].getM(), limit, ptp.stopCh)
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return entries, nil
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}
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var wg sync.WaitGroup
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perShardMaps := make([][]map[string]*uint64, shardsLen)
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}
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n := int64(0)
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for k, pHitsSrc := range shards[idx].getM() {
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nTotal := int64(0)
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for k, pHits := range shards[idx].getM() {
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if needStop(ptp.stopCh) {
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return
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}
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h := xxhash.Sum64(bytesutil.ToUnsafeBytes(k))
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m := shardMaps[h%uint64(len(shardMaps))]
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n += updatePipeTopMap(m, k, pHitsSrc)
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n += updatePipeTopMap(m, k, pHits)
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if n > stateSizeBudgetChunk {
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if nRemaining := ptp.stateSizeBudget.Add(-n); nRemaining < 0 {
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return
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}
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nTotal += n
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n = 0
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}
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}
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nTotal += n
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ptp.stateSizeBudget.Add(-n)
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perShardMaps[idx] = shardMaps
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// Clean the original map and return its state size budget back.
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shards[idx].m = nil
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ptp.stateSizeBudget.Add(nTotal)
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}(i)
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}
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wg.Wait()
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return nil, fmt.Errorf("cannot calculate [%s], since it requires more than %dMB of memory", ptp.pt.String(), ptp.maxStateSize/(1<<20))
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}
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// Obtain topN entries per each shard
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entriess := make([][]*pipeTopEntry, shardsLen)
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for i := range entriess {
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wg.Add(1)
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@ -410,23 +416,31 @@ func (ptp *pipeTopProcessor) getTopEntriesParallel(limit uint64) ([]*pipeTopEntr
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defer wg.Done()
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m := perShardMaps[0][idx]
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for i := 1; i < len(perShardMaps); i++ {
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n := int64(0)
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for _, shardMaps := range perShardMaps[1:] {
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for k, pHitsSrc := range shardMaps[idx] {
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nTotal := int64(0)
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for k, pHits := range perShardMaps[i][idx] {
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if needStop(ptp.stopCh) {
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return
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}
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n += updatePipeTopMap(m, k, pHitsSrc)
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n += updatePipeTopMap(m, k, pHits)
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if n > stateSizeBudgetChunk {
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if nRemaining := ptp.stateSizeBudget.Add(-n); nRemaining < 0 {
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return
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}
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nTotal += n
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n = 0
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}
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}
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}
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nTotal += n
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ptp.stateSizeBudget.Add(-n)
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// Clean the original map and return its state size budget back.
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perShardMaps[i][idx] = nil
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ptp.stateSizeBudget.Add(nTotal)
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}
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perShardMaps[0][idx] = nil
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entriess[idx] = getTopEntries(m, ptp.pt.limit, ptp.stopCh)
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}(i)
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}
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@ -489,8 +503,8 @@ func getTopEntries(m map[string]*uint64, limit uint64, stopCh <-chan struct{}) [
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}
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func updatePipeTopMap(m map[string]*uint64, k string, pHitsSrc *uint64) int64 {
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pHitsDst, ok := m[k]
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if ok {
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pHitsDst := m[k]
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if pHitsDst != nil {
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*pHitsDst += *pHitsSrc
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return 0
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}
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