VictoriaMetrics/lib/streamaggr/rate.go
Aliaksandr Valialkin 32aa0751a1
lib/streamaggr: follow-up for 7cb894a777
- Use bytesutil.InternString() instead of strings.Clone() for inputKey and outputKey in aggregatorpushSamples().
  This should reduce string allocation rate, since strings can be re-used between aggrState flushes.
- Reduce memory allocations at dedupAggrShard by storing dedupAggrSample by value in the active series map.
- Remove duplicate call to bytesutil.InternBytes() at Deduplicator, since it is already called inside dedupAggr.pushSamples().
- Add missing string interning at rateAggrState.pushSamples().

Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6402
2024-06-07 16:35:53 +02:00

151 lines
3.6 KiB
Go

package streamaggr
import (
"sync"
"time"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/fasttime"
)
// rateAggrState calculates output=rate, e.g. the counter per-second change.
type rateAggrState struct {
m sync.Map
suffix string
// Time series state is dropped if no new samples are received during stalenessSecs.
stalenessSecs uint64
}
type rateStateValue struct {
mu sync.Mutex
lastValues map[string]rateLastValueState
deleteDeadline uint64
deleted bool
}
type rateLastValueState struct {
value float64
timestamp int64
deleteDeadline uint64
// total stores cumulative difference between registered values
// in the aggregation interval
total float64
// prevTimestamp stores timestamp of the last registered value
// in the previous aggregation interval
prevTimestamp int64
}
func newRateAggrState(stalenessInterval time.Duration, suffix string) *rateAggrState {
stalenessSecs := roundDurationToSecs(stalenessInterval)
return &rateAggrState{
suffix: suffix,
stalenessSecs: stalenessSecs,
}
}
func (as *rateAggrState) pushSamples(samples []pushSample) {
currentTime := fasttime.UnixTimestamp()
deleteDeadline := currentTime + as.stalenessSecs
for i := range samples {
s := &samples[i]
inputKey, outputKey := getInputOutputKey(s.key)
again:
v, ok := as.m.Load(outputKey)
if !ok {
// The entry is missing in the map. Try creating it.
v = &rateStateValue{
lastValues: make(map[string]rateLastValueState),
}
outputKey = bytesutil.InternString(outputKey)
vNew, loaded := as.m.LoadOrStore(outputKey, v)
if loaded {
// Use the entry created by a concurrent goroutine.
v = vNew
}
}
sv := v.(*rateStateValue)
sv.mu.Lock()
deleted := sv.deleted
if !deleted {
lv, ok := sv.lastValues[inputKey]
if ok {
if s.timestamp < lv.timestamp {
// Skip out of order sample
sv.mu.Unlock()
continue
}
if lv.prevTimestamp == 0 {
lv.prevTimestamp = lv.timestamp
}
if s.value >= lv.value {
lv.total += s.value - lv.value
} else {
// counter reset
lv.total += s.value
}
}
lv.value = s.value
lv.timestamp = s.timestamp
lv.deleteDeadline = deleteDeadline
inputKey = bytesutil.InternString(inputKey)
sv.lastValues[inputKey] = lv
sv.deleteDeadline = deleteDeadline
}
sv.mu.Unlock()
if deleted {
// The entry has been deleted by the concurrent call to flushState
// Try obtaining and updating the entry again.
goto again
}
}
}
func (as *rateAggrState) flushState(ctx *flushCtx, resetState bool) {
_ = resetState // it isn't used here
currentTime := fasttime.UnixTimestamp()
currentTimeMsec := int64(currentTime) * 1000
m := &as.m
m.Range(func(k, v interface{}) bool {
sv := v.(*rateStateValue)
sv.mu.Lock()
// check for stale entries
deleted := currentTime > sv.deleteDeadline
if deleted {
// Mark the current entry as deleted
sv.deleted = deleted
sv.mu.Unlock()
m.Delete(k)
return true
}
// Delete outdated entries in sv.lastValues
var rate float64
m := sv.lastValues
for k1, v1 := range m {
if currentTime > v1.deleteDeadline {
delete(m, k1)
} else if v1.prevTimestamp > 0 {
rate += v1.total * 1000 / float64(v1.timestamp-v1.prevTimestamp)
v1.prevTimestamp = v1.timestamp
v1.total = 0
m[k1] = v1
}
}
if as.suffix == "rate_avg" {
// note: capture m length after deleted items were removed
rate /= float64(len(m))
}
sv.mu.Unlock()
key := k.(string)
ctx.appendSeries(key, as.suffix, currentTimeMsec, rate)
return true
})
}