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app/vmselect/netstorage: remove superflouos map lookup at ProcessSearchQuery
This should reduce CPU usage a bit during querying
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parent
519bd2af7b
commit
cae0f37edd
1 changed files with 10 additions and 6 deletions
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@ -1011,7 +1011,10 @@ func ProcessSearchQuery(qt *querytracer.Tracer, sq *storage.SearchQuery, deadlin
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startTime := time.Now()
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maxSeriesCount := sr.Init(qt, vmstorage.Storage, tfss, tr, sq.MaxMetrics, deadline.Deadline())
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indexSearchDuration.UpdateDuration(startTime)
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m := make(map[string][]blockRef, maxSeriesCount)
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type blockRefs struct {
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brs []blockRef
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}
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m := make(map[string]*blockRefs, maxSeriesCount)
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orderedMetricNames := make([]string, 0, maxSeriesCount)
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blocksRead := 0
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samples := 0
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@ -1040,13 +1043,14 @@ func ProcessSearchQuery(qt *querytracer.Tracer, sq *storage.SearchQuery, deadlin
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}
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metricName := sr.MetricBlockRef.MetricName
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brs := m[string(metricName)]
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brs = append(brs, blockRef{
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if brs == nil {
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brs = &blockRefs{}
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}
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brs.brs = append(brs.brs, blockRef{
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partRef: br.PartRef(),
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addr: addr,
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})
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if len(brs) > 1 {
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m[string(metricName)] = brs
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} else {
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if len(brs.brs) == 1 {
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// An optimization for big number of time series with long metricName values:
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// use only a single copy of metricName for both orderedMetricNames and m.
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orderedMetricNames = append(orderedMetricNames, string(metricName))
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@ -1075,7 +1079,7 @@ func ProcessSearchQuery(qt *querytracer.Tracer, sq *storage.SearchQuery, deadlin
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for i, metricName := range orderedMetricNames {
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pts[i] = packedTimeseries{
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metricName: metricName,
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brs: m[metricName],
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brs: m[metricName].brs,
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}
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}
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rss.packedTimeseries = pts
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