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https://github.com/VictoriaMetrics/VictoriaMetrics.git
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04981c7a7f
The resetState arg was used only for the BenchmarkAggregatorsFlushInternalSerial benchmark. This benchmark was testing aggregate state flush performance by keeping the same state across flushes. The benhmark didn't reflect the performance and scalability of stream aggregation in production, while it led to non-trivial code changes related to resetState arg handling. So let's drop the benchmark together with all the code related to resetState handling, in order to simplify the code at lib/streamaggr a bit. Thanks to @AndrewChubatiuk for the original idea at https://github.com/VictoriaMetrics/VictoriaMetrics/pull/6314
116 lines
2.6 KiB
Go
116 lines
2.6 KiB
Go
package streamaggr
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import (
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"math"
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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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"github.com/VictoriaMetrics/metrics"
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)
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// histogramBucketAggrState calculates output=histogram_bucket, e.g. VictoriaMetrics histogram over input samples.
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type histogramBucketAggrState struct {
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m sync.Map
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stalenessSecs uint64
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}
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type histogramBucketStateValue struct {
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mu sync.Mutex
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h metrics.Histogram
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deleteDeadline uint64
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deleted bool
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}
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func newHistogramBucketAggrState(stalenessInterval time.Duration) *histogramBucketAggrState {
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stalenessSecs := roundDurationToSecs(stalenessInterval)
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return &histogramBucketAggrState{
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stalenessSecs: stalenessSecs,
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}
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}
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func (as *histogramBucketAggrState) 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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outputKey := getOutputKey(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 = &histogramBucketStateValue{}
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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.(*histogramBucketStateValue)
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sv.mu.Lock()
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deleted := sv.deleted
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if !deleted {
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sv.h.Update(s.value)
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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 *histogramBucketAggrState) removeOldEntries(currentTime uint64) {
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m := &as.m
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m.Range(func(k, v any) bool {
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sv := v.(*histogramBucketStateValue)
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sv.mu.Lock()
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deleted := currentTime > sv.deleteDeadline
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if deleted {
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// Mark the current entry as deleted
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sv.deleted = deleted
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}
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sv.mu.Unlock()
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if deleted {
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m.Delete(k)
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}
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return true
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})
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}
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func (as *histogramBucketAggrState) flushState(ctx *flushCtx) {
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currentTime := fasttime.UnixTimestamp()
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as.removeOldEntries(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.(*histogramBucketStateValue)
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sv.mu.Lock()
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if !sv.deleted {
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key := k.(string)
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sv.h.VisitNonZeroBuckets(func(vmrange string, count uint64) {
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ctx.appendSeriesWithExtraLabel(key, "histogram_bucket", float64(count), "vmrange", vmrange)
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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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}
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func roundDurationToSecs(d time.Duration) uint64 {
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if d < 0 {
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return 0
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}
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secs := d.Seconds()
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return uint64(math.Ceil(secs))
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}
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