VictoriaMetrics/lib/streamaggr/rate.go
Roman Khavronenko 51d19485bb
lib/streamaggr: prevent rate_sum and rate_avg from producing NaNs (#6482)
### Describe Your Changes

* check if `lastValue` was seen at least twice with different
timestamps. Otherwise, the difference between last timestamp and
previous timestamp could be `0` and will result into `NaN` calculation
* check if there items left in lastValue map after staleness cleanup.
Otherwise, `rate_avg` could have produce `NaN` result.

### Checklist

The following checks are **mandatory**:

- [x] My change adheres [VictoriaMetrics contributing
guidelines](https://docs.victoriametrics.com/contributing/).

---------

Signed-off-by: hagen1778 <roman@victoriametrics.com>
2024-06-14 10:06:22 +02:00

156 lines
3.8 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, _ bool) {
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
lvs := sv.lastValues
for k1, v1 := range lvs {
if currentTime > v1.deleteDeadline {
delete(lvs, k1)
continue
}
rateInterval := v1.timestamp - v1.prevTimestamp
if v1.prevTimestamp > 0 && rateInterval > 0 {
// calculate rate only if value was seen at least twice with different timestamps
rate += v1.total * 1000 / float64(rateInterval)
v1.prevTimestamp = v1.timestamp
v1.total = 0
lvs[k1] = v1
}
}
// capture m length after deleted items were removed
totalItems := len(lvs)
sv.mu.Unlock()
if as.suffix == "rate_avg" && totalItems > 0 {
rate /= float64(totalItems)
}
key := k.(string)
ctx.appendSeries(key, as.suffix, currentTimeMsec, rate)
return true
})
}