package streamaggr import ( "sync" "unsafe" "github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil" "github.com/cespare/xxhash/v2" ) const dedupAggrShardsCount = 128 type dedupAggr struct { shards []dedupAggrShard } type dedupAggrShard struct { dedupAggrShardNopad // The padding prevents false sharing on widespread platforms with // 128 mod (cache line size) = 0 . _ [128 - unsafe.Sizeof(dedupAggrShardNopad{})%128]byte } type dedupAggrShardNopad struct { mu sync.Mutex m map[string]dedupAggrSample } type dedupAggrSample struct { value float64 } func newDedupAggr() *dedupAggr { shards := make([]dedupAggrShard, dedupAggrShardsCount) return &dedupAggr{ shards: shards, } } func (da *dedupAggr) sizeBytes() uint64 { n := uint64(unsafe.Sizeof(*da)) for i := range da.shards { n += da.shards[i].sizeBytes() } return n } func (da *dedupAggr) itemsCount() uint64 { n := uint64(0) for i := range da.shards { n += da.shards[i].itemsCount() } return n } func (das *dedupAggrShard) sizeBytes() uint64 { das.mu.Lock() n := uint64(unsafe.Sizeof(*das)) for k, s := range das.m { n += uint64(len(k)) + uint64(unsafe.Sizeof(k)+unsafe.Sizeof(s)) } das.mu.Unlock() return n } func (das *dedupAggrShard) itemsCount() uint64 { das.mu.Lock() n := uint64(len(das.m)) das.mu.Unlock() return n } func (da *dedupAggr) pushSamples(samples []pushSample) { pss := getPerShardSamples() shards := pss.shards for _, sample := range samples { h := xxhash.Sum64(bytesutil.ToUnsafeBytes(sample.key)) idx := h % uint64(len(shards)) shards[idx] = append(shards[idx], sample) } for i, shardSamples := range shards { if len(shardSamples) == 0 { continue } da.shards[i].pushSamples(shardSamples) } putPerShardSamples(pss) } func getDedupFlushCtx() *dedupFlushCtx { v := dedupFlushCtxPool.Get() if v == nil { return &dedupFlushCtx{} } return v.(*dedupFlushCtx) } func putDedupFlushCtx(ctx *dedupFlushCtx) { ctx.reset() dedupFlushCtxPool.Put(ctx) } var dedupFlushCtxPool sync.Pool type dedupFlushCtx struct { samples []pushSample } func (ctx *dedupFlushCtx) reset() { clear(ctx.samples) ctx.samples = ctx.samples[:0] } func (da *dedupAggr) flush(f func(samples []pushSample), resetState bool) { var wg sync.WaitGroup for i := range da.shards { flushConcurrencyCh <- struct{}{} wg.Add(1) go func(shard *dedupAggrShard) { defer func() { <-flushConcurrencyCh wg.Done() }() ctx := getDedupFlushCtx() shard.flush(ctx, f, resetState) putDedupFlushCtx(ctx) }(&da.shards[i]) } wg.Wait() } type perShardSamples struct { shards [][]pushSample } func (pss *perShardSamples) reset() { shards := pss.shards for i, shardSamples := range shards { if len(shardSamples) > 0 { clear(shardSamples) shards[i] = shardSamples[:0] } } } func getPerShardSamples() *perShardSamples { v := perShardSamplesPool.Get() if v == nil { return &perShardSamples{ shards: make([][]pushSample, dedupAggrShardsCount), } } return v.(*perShardSamples) } func putPerShardSamples(pss *perShardSamples) { pss.reset() perShardSamplesPool.Put(pss) } var perShardSamplesPool sync.Pool func (das *dedupAggrShard) pushSamples(samples []pushSample) { das.mu.Lock() defer das.mu.Unlock() m := das.m if m == nil { m = make(map[string]dedupAggrSample, len(samples)) das.m = m } for _, sample := range samples { m[sample.key] = dedupAggrSample{ value: sample.value, } } } func (das *dedupAggrShard) flush(ctx *dedupFlushCtx, f func(samples []pushSample), resetState bool) { das.mu.Lock() m := das.m if resetState && len(m) > 0 { das.m = make(map[string]dedupAggrSample, len(m)) } das.mu.Unlock() if len(m) == 0 { return } dstSamples := ctx.samples for key, s := range m { dstSamples = append(dstSamples, pushSample{ key: key, value: s.value, }) // Limit the number of samples per each flush in order to limit memory usage. if len(dstSamples) >= 100_000 { f(dstSamples) clear(dstSamples) dstSamples = dstSamples[:0] } } f(dstSamples) ctx.samples = dstSamples }