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Avoid redundant fingerprint calculation.
Change-Id: Ief8a165dcfa5030226953346ec9dfe4a7787df1f
This commit is contained in:
parent
e9ff29c547
commit
aea32b0b4b
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@ -131,7 +131,7 @@ func newMemorySeries(m clientmodel.Metric) *memorySeries {
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}
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}
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func (s *memorySeries) add(v *metric.SamplePair, persistQueue chan *persistRequest) {
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func (s *memorySeries) add(fp clientmodel.Fingerprint, v *metric.SamplePair, persistQueue chan *persistRequest) {
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s.mtx.Lock()
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defer s.mtx.Unlock()
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@ -148,8 +148,6 @@ func (s *memorySeries) add(v *metric.SamplePair, persistQueue chan *persistReque
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s.head().chunk = chunks[0]
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if len(chunks) > 1 {
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fp := s.metric.Fingerprint()
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queuePersist := func(cd *chunkDesc) {
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persistQueue <- &persistRequest{
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fingerprint: fp,
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@ -98,15 +98,6 @@ type persistRequest struct {
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// AppendSamples implements Storage.
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func (s *memorySeriesStorage) AppendSamples(samples clientmodel.Samples) {
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/*
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s.mtx.Lock()
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defer s.mtx.Unlock()
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if s.state != storageServing {
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panic("storage is not serving")
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}
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s.mtx.Unlock()
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*/
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for _, sample := range samples {
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s.appendSample(sample)
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}
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@ -118,15 +109,20 @@ func (s *memorySeriesStorage) appendSample(sample *clientmodel.Sample) {
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s.mtx.Lock()
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defer s.mtx.Unlock()
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series := s.getOrCreateSeries(sample.Metric)
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series.add(&metric.SamplePair{
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if s.state != storageServing {
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panic("storage is not serving")
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}
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fp := sample.Metric.Fingerprint()
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series := s.getOrCreateSeries(fp, sample.Metric)
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// TODO: Can we release s.mtx here already?
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series.add(fp, &metric.SamplePair{
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Value: sample.Value,
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Timestamp: sample.Timestamp,
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}, s.persistQueue)
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}
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func (s *memorySeriesStorage) getOrCreateSeries(m clientmodel.Metric) *memorySeries {
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fp := m.Fingerprint()
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func (s *memorySeriesStorage) getOrCreateSeries(fp clientmodel.Fingerprint, m clientmodel.Metric) *memorySeries {
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series, ok := s.fingerprintToSeries[fp]
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if !ok {
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@ -185,7 +181,7 @@ func (s *memorySeriesStorage) preloadChunksForRange(fp clientmodel.Fingerprint,
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if err != nil {
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return nil, err
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}
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series = s.getOrCreateSeries(metric)
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series = s.getOrCreateSeries(fp, metric)
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}
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}
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return series.preloadChunksForRange(from, through, s.persistence)
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