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See https://docs.victoriametrics.com/stream-aggregation.html Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3460
79 lines
1.9 KiB
Go
79 lines
1.9 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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// countSeriesAggrState calculates output=count_series, e.g. the number of unique series.
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type countSeriesAggrState struct {
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m sync.Map
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}
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type countSeriesStateValue struct {
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mu sync.Mutex
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countedSeries map[string]struct{}
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n uint64
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deleted bool
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}
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func newCountSeriesAggrState() *countSeriesAggrState {
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return &countSeriesAggrState{}
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}
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func (as *countSeriesAggrState) 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 = &countSeriesStateValue{
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countedSeries: map[string]struct{}{
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inputKey: {},
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},
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n: 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 added to the map.
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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.(*countSeriesStateValue)
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sv.mu.Lock()
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deleted := sv.deleted
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if !deleted {
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if _, ok := sv.countedSeries[inputKey]; !ok {
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sv.countedSeries[inputKey] = struct{}{}
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sv.n++
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}
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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 *countSeriesAggrState) 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.(*countSeriesStateValue)
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sv.mu.Lock()
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n := sv.n
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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, "count_series", currentTimeMsec, float64(n))
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return true
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})
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}
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