package storage import ( "fmt" "math/rand" "os" "path/filepath" "sync" "sync/atomic" "testing" "time" "github.com/VictoriaMetrics/VictoriaMetrics/lib/cgroup" ) func TestMain(m *testing.M) { isDebug = true n := m.Run() if err := os.RemoveAll("benchmarkTableSearch"); err != nil { panic(fmt.Errorf("cannot remove benchmark tables: %w", err)) } os.Exit(n) } func BenchmarkTableSearch(b *testing.B) { for _, rowsCount := range []int{1e5, 1e6, 1e7, 1e8} { b.Run(fmt.Sprintf("rowsCount_%d", rowsCount), func(b *testing.B) { for _, tsidsCount := range []int{1e3, 1e4} { b.Run(fmt.Sprintf("tsidsCount_%d", tsidsCount), func(b *testing.B) { for _, tsidsSearch := range []int{1, 1e1, 1e2, 1e3, 1e4} { b.Run(fmt.Sprintf("tsidsSearch_%d", tsidsSearch), func(b *testing.B) { benchmarkTableSearch(b, rowsCount, tsidsCount, tsidsSearch) }) } }) } }) } } func openBenchTable(b *testing.B, startTimestamp int64, rowsPerInsert, rowsCount, tsidsCount int) *table { b.Helper() path := filepath.Join("benchmarkTableSearch", fmt.Sprintf("rows%d_tsids%d", rowsCount, tsidsCount)) if !createdBenchTables[path] { createBenchTable(b, path, startTimestamp, rowsPerInsert, rowsCount, tsidsCount) createdBenchTables[path] = true } strg := newTestStorage() tb, err := openTable(path, strg) if err != nil { b.Fatalf("cnanot open table %q: %s", path, err) } // Verify rows count in the table opened from files. insertsCount := uint64((rowsCount + rowsPerInsert - 1) / rowsPerInsert) rowsCountExpected := insertsCount * uint64(rowsPerInsert) var m TableMetrics tb.UpdateMetrics(&m) if rowsCount := m.TotalRowsCount(); rowsCount != rowsCountExpected { b.Fatalf("unexpected rows count in the table %q; got %d; want %d", path, rowsCount, rowsCountExpected) } return tb } var createdBenchTables = make(map[string]bool) func createBenchTable(b *testing.B, path string, startTimestamp int64, rowsPerInsert, rowsCount, tsidsCount int) { b.Helper() strg := newTestStorage() tb, err := openTable(path, strg) if err != nil { b.Fatalf("cannot open table %q: %s", path, err) } insertsCount := uint64((rowsCount + rowsPerInsert - 1) / rowsPerInsert) timestamp := uint64(startTimestamp) var wg sync.WaitGroup for k := 0; k < cgroup.AvailableCPUs(); k++ { wg.Add(1) go func(n int) { rng := rand.New(rand.NewSource(int64(n))) rows := make([]rawRow, rowsPerInsert) value := float64(100) for int(atomic.AddUint64(&insertsCount, ^uint64(0))) >= 0 { for j := 0; j < rowsPerInsert; j++ { ts := atomic.AddUint64(×tamp, uint64(10+rng.Int63n(2))) value += float64(int(rng.NormFloat64() * 5)) r := &rows[j] r.PrecisionBits = defaultPrecisionBits r.TSID.MetricID = uint64(rng.Intn(tsidsCount) + 1) r.Timestamp = int64(ts) r.Value = value } tb.MustAddRows(rows) } wg.Done() }(k) } wg.Wait() tb.MustClose() } func benchmarkTableSearch(b *testing.B, rowsCount, tsidsCount, tsidsSearch int) { startTimestamp := timestampFromTime(time.Now()) - 365*24*3600*1000 rowsPerInsert := getMaxRawRowsPerShard() tb := openBenchTable(b, startTimestamp, rowsPerInsert, rowsCount, tsidsCount) tr := TimeRange{ MinTimestamp: startTimestamp, MaxTimestamp: (1 << 63) - 1, } b.ResetTimer() b.ReportAllocs() rowsPerBench := int64(float64(rowsCount) * float64(tsidsSearch) / float64(tsidsCount)) if rowsPerBench > int64(rowsCount) { rowsPerBench = int64(rowsCount) } b.SetBytes(rowsPerBench) b.RunParallel(func(pb *testing.PB) { var ts tableSearch tsids := make([]TSID, tsidsSearch) var tmpBlock Block for pb.Next() { for i := range tsids { tsids[i].MetricID = 1 + uint64(i) } ts.Init(tb, tsids, tr) for ts.NextBlock() { ts.BlockRef.MustReadBlock(&tmpBlock) } ts.MustClose() } }) b.StopTimer() tb.MustClose() }