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Ensure new metrics are watermarked early.
With the checking of fingerprint freshness to cull stale metrics from queries, we should write watermarks early to aid in more accurate responses.
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@ -488,26 +488,28 @@ func (l *LevelDBMetricPersistence) refreshHighWatermarks(groups map[model.Finger
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batch := leveldb.NewBatch()
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defer batch.Close()
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mutationCount := 0
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value := &dto.MetricHighWatermark{}
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for fingerprint, samples := range groups {
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value := &dto.MetricHighWatermark{}
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newestSampleTimestamp := samples[len(samples)-1].Timestamp
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value.Reset()
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present, err := l.MetricHighWatermarks.Get(fingerprint.ToDTO(), value)
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if err != nil {
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return err
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}
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newestSampleTimestamp := samples[len(samples)-1].Timestamp
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if !present {
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value.Timestamp = proto.Int64(newestSampleTimestamp.Unix())
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batch.Put(fingerprint.ToDTO(), value)
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continue
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}
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// BUG(matt): Repace this with watermark management.
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if newestSampleTimestamp.Before(time.Unix(*value.Timestamp, 0)) {
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continue
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if !newestSampleTimestamp.Before(time.Unix(value.GetTimestamp(), 0)) {
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value.Timestamp = proto.Int64(newestSampleTimestamp.Unix())
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batch.Put(fingerprint.ToDTO(), value)
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}
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value.Timestamp = proto.Int64(newestSampleTimestamp.Unix())
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batch.Put(fingerprint.ToDTO(), value)
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mutationCount++
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}
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err = l.MetricHighWatermarks.Commit(batch)
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