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https://github.com/VictoriaMetrics/VictoriaMetrics.git
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ad8852759d
This improves performance by up to 10x when big number of the requested TSIDs are missing in the searched parts. This should help https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3425
62 lines
1.5 KiB
Go
62 lines
1.5 KiB
Go
package storage
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import (
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"fmt"
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"testing"
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)
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func BenchmarkPartSearch(b *testing.B) {
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for _, sparseness := range []int{1, 2, 10, 100} {
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b.Run(fmt.Sprintf("sparseness-%d", sparseness), func(b *testing.B) {
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benchmarkPartSearchWithSparseness(b, sparseness)
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})
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}
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}
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func benchmarkPartSearchWithSparseness(b *testing.B, sparseness int) {
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blocksCount := 100000
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rows := make([]rawRow, blocksCount)
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for i := 0; i < blocksCount; i++ {
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r := &rows[i]
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r.PrecisionBits = defaultPrecisionBits
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r.TSID.MetricID = uint64(i * sparseness)
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r.Timestamp = int64(i) * 1000
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r.Value = float64(i)
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}
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tr := TimeRange{
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MinTimestamp: rows[0].Timestamp,
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MaxTimestamp: rows[len(rows)-1].Timestamp,
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}
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p := newTestPart(rows)
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for _, tsidsCount := range []int{100, 1000, 10000, 100000} {
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b.Run(fmt.Sprintf("tsids-%d", tsidsCount), func(b *testing.B) {
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tsids := make([]TSID, tsidsCount)
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for i := 0; i < tsidsCount; i++ {
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tsids[i].MetricID = uint64(i)
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}
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benchmarkPartSearch(b, p, tsids, tr, sparseness)
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})
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}
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}
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func benchmarkPartSearch(b *testing.B, p *part, tsids []TSID, tr TimeRange, sparseness int) {
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b.ReportAllocs()
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b.RunParallel(func(pb *testing.PB) {
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var ps partSearch
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for pb.Next() {
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blocksRead := 0
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ps.Init(p, tsids, tr)
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for ps.NextBlock() {
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blocksRead++
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}
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if err := ps.Error(); err != nil {
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panic(fmt.Errorf("BUG: unexpected error: %s", err))
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}
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blocksWant := len(tsids) / sparseness
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if blocksRead != blocksWant {
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panic(fmt.Errorf("BUG: unexpected blocks read; got %d; want %d", blocksRead, blocksWant))
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}
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}
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})
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}
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