VictoriaMetrics/lib/streamaggr/count_samples.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

81 lines
1.8 KiB
Go

package streamaggr
import (
"sync"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
)
// countSamplesAggrState calculates output=count_samples, e.g. the count of input samples.
type countSamplesAggrState struct {
m sync.Map
}
type countSamplesStateValue struct {
mu sync.Mutex
n uint64
deleted bool
}
func newCountSamplesAggrState() *countSamplesAggrState {
return &countSamplesAggrState{}
}
func (as *countSamplesAggrState) pushSamples(samples []pushSample) {
for i := range samples {
s := &samples[i]
outputKey := getOutputKey(s.key)
again:
v, ok := as.m.Load(outputKey)
if !ok {
// The entry is missing in the map. Try creating it.
v = &countSamplesStateValue{
n: 1,
}
outputKey = bytesutil.InternString(outputKey)
vNew, loaded := as.m.LoadOrStore(outputKey, v)
if !loaded {
// The new entry has been successfully created.
continue
}
// Use the entry created by a concurrent goroutine.
v = vNew
}
sv := v.(*countSamplesStateValue)
sv.mu.Lock()
deleted := sv.deleted
if !deleted {
sv.n++
}
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 *countSamplesAggrState) flushState(ctx *flushCtx, resetState bool) {
m := &as.m
m.Range(func(k, v any) bool {
if resetState {
// Atomically delete the entry from the map, so new entry is created for the next flush.
m.Delete(k)
}
sv := v.(*countSamplesStateValue)
sv.mu.Lock()
n := sv.n
if resetState {
// Mark the entry as deleted, so it won't be updated anymore by concurrent pushSample() calls.
sv.deleted = true
}
sv.mu.Unlock()
key := k.(string)
ctx.appendSeries(key, "count_samples", float64(n))
return true
})
}