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See https://docs.victoriametrics.com/stream-aggregation.html Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3460
75 lines
1.7 KiB
Go
75 lines
1.7 KiB
Go
package streamaggr
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import (
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"sync"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/fasttime"
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)
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// avgAggrState calculates output=avg, e.g. the average value over input samples.
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type avgAggrState struct {
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m sync.Map
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}
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type avgStateValue struct {
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mu sync.Mutex
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sum float64
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count int64
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deleted bool
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}
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func newAvgAggrState() *avgAggrState {
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return &avgAggrState{}
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}
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func (as *avgAggrState) pushSample(inputKey, outputKey string, value float64) {
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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 = &avgStateValue{
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sum: value,
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count: 1,
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}
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vNew, loaded := as.m.LoadOrStore(outputKey, v)
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if !loaded {
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// The entry has been successfully stored
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return
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}
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// Update the entry created by a concurrent goroutine.
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v = vNew
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}
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sv := v.(*avgStateValue)
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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.sum += value
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sv.count++
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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 appendSeriesForFlush
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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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func (as *avgAggrState) appendSeriesForFlush(ctx *flushCtx) {
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currentTimeMsec := int64(fasttime.UnixTimestamp()) * 1000
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m := &as.m
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m.Range(func(k, v interface{}) bool {
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// Atomically delete the entry from the map, so new entry is created for the next flush.
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m.Delete(k)
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sv := v.(*avgStateValue)
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sv.mu.Lock()
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avg := sv.sum / float64(sv.count)
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// Mark the entry as deleted, so it won't be updated anymore by concurrent pushSample() calls.
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sv.deleted = true
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sv.mu.Unlock()
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key := k.(string)
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ctx.appendSeries(key, "avg", currentTimeMsec, avg)
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return true
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})
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}
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