VictoriaMetrics/lib/streamaggr/total.go
Aliaksandr Valialkin 1332b6f912
lib/streamaggr: consistently use the same timestamp across all the output aggregated samples in a single aggregation interval
Prevsiously every aggregation output was using its own timestamp for the output aggregated samples
in a single aggregation interval. This could result in unexpected inconsitent timesetamps for the output
aggregated samples.

This commit consistently uses the same timestamp across all the output aggregated samples.
This commit makes sure that the duration between subsequent timestamps strictly equals
the configured aggregation interval.

Thanks to @AndrewChubatiuk for the original idea at https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6314
This commit should help https://github.com/VictoriaMetrics/VictoriaMetrics/issues/4580
2024-08-07 11:46:47 +02:00

189 lines
4.8 KiB
Go

package streamaggr
import (
"math"
"sync"
"time"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/fasttime"
)
// totalAggrState calculates output=total, total_prometheus, increase and increase_prometheus.
type totalAggrState struct {
m sync.Map
// Whether to reset the output value on every flushState call.
resetTotalOnFlush bool
// Whether to take into account the first sample in new time series when calculating the output value.
keepFirstSample bool
// Time series state is dropped if no new samples are received during stalenessSecs.
//
// Aslo, the first sample per each new series is ignored during stalenessSecs even if keepFirstSample is set.
// see ignoreFirstSampleDeadline for more details.
stalenessSecs uint64
// The first sample per each new series is ignored until this unix timestamp deadline in seconds even if keepFirstSample is set.
// This allows avoiding an initial spike of the output values at startup when new time series
// cannot be distinguished from already existing series. This is tracked with ignoreFirstSampleDeadline.
ignoreFirstSampleDeadline uint64
}
type totalStateValue struct {
mu sync.Mutex
lastValues map[string]totalLastValueState
total float64
deleteDeadline uint64
deleted bool
}
type totalLastValueState struct {
value float64
timestamp int64
deleteDeadline uint64
}
func newTotalAggrState(stalenessInterval time.Duration, resetTotalOnFlush, keepFirstSample bool) *totalAggrState {
stalenessSecs := roundDurationToSecs(stalenessInterval)
ignoreFirstSampleDeadline := fasttime.UnixTimestamp() + stalenessSecs
return &totalAggrState{
resetTotalOnFlush: resetTotalOnFlush,
keepFirstSample: keepFirstSample,
stalenessSecs: stalenessSecs,
ignoreFirstSampleDeadline: ignoreFirstSampleDeadline,
}
}
func (as *totalAggrState) pushSamples(samples []pushSample) {
currentTime := fasttime.UnixTimestamp()
deleteDeadline := currentTime + as.stalenessSecs
keepFirstSample := as.keepFirstSample && currentTime > as.ignoreFirstSampleDeadline
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 = &totalStateValue{
lastValues: make(map[string]totalLastValueState),
}
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.(*totalStateValue)
sv.mu.Lock()
deleted := sv.deleted
if !deleted {
lv, ok := sv.lastValues[inputKey]
if ok || keepFirstSample {
if s.timestamp < lv.timestamp {
// Skip out of order sample
sv.mu.Unlock()
continue
}
if s.value >= lv.value {
sv.total += s.value - lv.value
} else {
// counter reset
sv.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 *totalAggrState) flushState(ctx *flushCtx, resetState bool) {
currentTime := fasttime.UnixTimestamp()
suffix := as.getSuffix()
as.removeOldEntries(currentTime)
m := &as.m
m.Range(func(k, v any) bool {
sv := v.(*totalStateValue)
sv.mu.Lock()
total := sv.total
if resetState {
if as.resetTotalOnFlush {
sv.total = 0
} else if math.Abs(sv.total) >= (1 << 53) {
// It is time to reset the entry, since it starts losing float64 precision
sv.total = 0
}
}
deleted := sv.deleted
sv.mu.Unlock()
if !deleted {
key := k.(string)
ctx.appendSeries(key, suffix, total)
}
return true
})
}
func (as *totalAggrState) getSuffix() string {
// Note: this function is at hot path, so it shouldn't allocate.
if as.resetTotalOnFlush {
if as.keepFirstSample {
return "increase"
}
return "increase_prometheus"
}
if as.keepFirstSample {
return "total"
}
return "total_prometheus"
}
func (as *totalAggrState) removeOldEntries(currentTime uint64) {
m := &as.m
m.Range(func(k, v any) bool {
sv := v.(*totalStateValue)
sv.mu.Lock()
if currentTime > sv.deleteDeadline {
// Mark the current entry as deleted
sv.deleted = true
sv.mu.Unlock()
m.Delete(k)
return true
}
// Delete outdated entries in sv.lastValues
lvs := sv.lastValues
for k1, lv := range lvs {
if currentTime > lv.deleteDeadline {
delete(lvs, k1)
}
}
sv.mu.Unlock()
return true
})
}