mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
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5354374b62
- Consistently enumerate stream aggregation outputs in alphabetical order across the source code and docs. This should simplify future maintenance of the corresponding code and docs. - Fix the link to `rate_sum()` at `see also` section of `rate_avg()` docs. - Make more clear the docs for `rate_sum()` and `rate_avg()` outputs. - Encapsulate output metric suffix inside rateAggrState. This eliminates possible bugs related to incorrect suffix passing to newRateAggrState(). - Rename rateAggrState.total field to less misleading rateAggrState.increase name, since it calculates counter increase in the current aggregation window. - Set rateLastValueState.prevTimestamp on the first sample in time series instead of the second sample. This makes more clear the code logic. - Move the code for removing outdated entries at rateAggrState into removeOldEntries() function. This make the code logic inside rateAggrState.flushState() more clear. - Do not write output sample with zero value if there are no input series, which could be used for calculating the rate, e.g. if only a single sample is registered for every input series. - Do not take into account input series with a single registered sample when calculating rate_avg(), since this leads to incorrect results. - Move {rate,total}AggrState.flushState() function to the end of rate.go and total.go files, so they look more similar. This shuld simplify future mantenance. Updates https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6243
184 lines
4.2 KiB
Go
184 lines
4.2 KiB
Go
package streamaggr
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import (
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"sync"
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"time"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/fasttime"
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)
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// rateAggrState calculates output=rate_avg and rate_sum, e.g. the average per-second increase rate for counter metrics.
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type rateAggrState struct {
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m sync.Map
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// isAvg is set to true if rate_avg() must be calculated instead of rate_sum().
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isAvg bool
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// Time series state is dropped if no new samples are received during stalenessSecs.
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stalenessSecs uint64
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}
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type rateStateValue struct {
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mu sync.Mutex
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lastValues map[string]rateLastValueState
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deleteDeadline uint64
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deleted bool
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}
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type rateLastValueState struct {
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value float64
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timestamp int64
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deleteDeadline uint64
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// increase stores cumulative increase for the current time series on the current aggregation interval
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increase float64
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// prevTimestamp is the timestamp of the last registered sample in the previous aggregation interval
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prevTimestamp int64
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}
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func newRateAggrState(stalenessInterval time.Duration, isAvg bool) *rateAggrState {
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stalenessSecs := roundDurationToSecs(stalenessInterval)
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return &rateAggrState{
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isAvg: isAvg,
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stalenessSecs: stalenessSecs,
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}
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}
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func (as *rateAggrState) pushSamples(samples []pushSample) {
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currentTime := fasttime.UnixTimestamp()
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deleteDeadline := currentTime + as.stalenessSecs
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for i := range samples {
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s := &samples[i]
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inputKey, outputKey := getInputOutputKey(s.key)
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again:
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v, ok := as.m.Load(outputKey)
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if !ok {
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// The entry is missing in the map. Try creating it.
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v = &rateStateValue{
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lastValues: make(map[string]rateLastValueState),
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}
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outputKey = bytesutil.InternString(outputKey)
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vNew, loaded := as.m.LoadOrStore(outputKey, v)
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if loaded {
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// Use the entry created by a concurrent goroutine.
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v = vNew
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}
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}
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sv := v.(*rateStateValue)
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sv.mu.Lock()
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deleted := sv.deleted
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if !deleted {
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lv, ok := sv.lastValues[inputKey]
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if ok {
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if s.timestamp < lv.timestamp {
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// Skip out of order sample
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sv.mu.Unlock()
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continue
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}
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if s.value >= lv.value {
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lv.increase += s.value - lv.value
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} else {
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// counter reset
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lv.increase += s.value
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}
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} else {
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lv.prevTimestamp = s.timestamp
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}
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lv.value = s.value
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lv.timestamp = s.timestamp
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lv.deleteDeadline = deleteDeadline
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inputKey = bytesutil.InternString(inputKey)
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sv.lastValues[inputKey] = lv
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sv.deleteDeadline = deleteDeadline
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}
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sv.mu.Unlock()
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if deleted {
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// The entry has been deleted by the concurrent call to flushState
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// Try obtaining and updating the entry again.
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goto again
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}
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}
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}
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func (as *rateAggrState) flushState(ctx *flushCtx, _ bool) {
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currentTime := fasttime.UnixTimestamp()
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currentTimeMsec := int64(currentTime) * 1000
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suffix := "rate_sum"
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if as.isAvg {
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suffix = "rate_avg"
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}
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as.removeOldEntries(ctx, suffix, currentTime)
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m := &as.m
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m.Range(func(k, v any) bool {
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sv := v.(*rateStateValue)
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sv.mu.Lock()
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lvs := sv.lastValues
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sumRate := 0.0
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countSeries := 0
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for k1, lv := range lvs {
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d := float64(lv.timestamp-lv.prevTimestamp) / 1000
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if d > 0 {
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sumRate += lv.increase / d
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countSeries++
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}
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lv.prevTimestamp = lv.timestamp
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lv.increase = 0
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lvs[k1] = lv
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}
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sv.mu.Unlock()
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if countSeries == 0 {
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// Nothing to update
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return true
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}
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result := sumRate
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if as.isAvg {
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result /= float64(countSeries)
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}
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key := k.(string)
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ctx.appendSeries(key, suffix, currentTimeMsec, result)
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return true
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})
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}
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func (as *rateAggrState) removeOldEntries(ctx *flushCtx, suffix string, currentTime uint64) {
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m := &as.m
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var staleOutputSamples, staleInputSamples int
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m.Range(func(k, v any) bool {
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sv := v.(*rateStateValue)
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sv.mu.Lock()
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if currentTime > sv.deleteDeadline {
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// Mark the current entry as deleted
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sv.deleted = true
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staleOutputSamples++
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sv.mu.Unlock()
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m.Delete(k)
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return true
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}
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// Delete outdated entries in sv.lastValues
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lvs := sv.lastValues
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for k1, lv := range lvs {
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if currentTime > lv.deleteDeadline {
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delete(lvs, k1)
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staleInputSamples++
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}
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}
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sv.mu.Unlock()
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return true
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})
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ctx.a.staleInputSamples[suffix].Add(staleInputSamples)
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ctx.a.staleOutputSamples[suffix].Add(staleOutputSamples)
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}
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