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https://github.com/VictoriaMetrics/VictoriaMetrics.git
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8189770c50
The main purpose of this command-line flag is to increase the lifetime of low-end flash storage with the limited number of write operations it can perform. Such flash storage is usually installed on Raspberry PI or similar appliances. For example, `-inmemoryDataFlushInterval=1h` reduces the frequency of disk write operations to up to once per hour if the ingested one-hour worth of data fits the limit for in-memory data. The in-memory data is searchable in the same way as the data stored on disk. VictoriaMetrics automatically flushes the in-memory data to disk on graceful shutdown via SIGINT signal. The in-memory data is lost on unclean shutdown (hardware power loss, OOM crash, SIGKILL). Updates https://github.com/VictoriaMetrics/VictoriaMetrics/issues/3337
143 lines
3.8 KiB
Go
143 lines
3.8 KiB
Go
package storage
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import (
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"fmt"
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"math/rand"
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"os"
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"sync"
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"sync/atomic"
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"testing"
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"time"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/cgroup"
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)
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func TestMain(m *testing.M) {
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n := m.Run()
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if err := os.RemoveAll("./benchmarkTableSearch"); err != nil {
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panic(fmt.Errorf("cannot remove benchmark tables: %w", err))
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}
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os.Exit(n)
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}
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func BenchmarkTableSearch(b *testing.B) {
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for _, rowsCount := range []int{1e5, 1e6, 1e7, 1e8} {
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b.Run(fmt.Sprintf("rowsCount_%d", rowsCount), func(b *testing.B) {
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for _, tsidsCount := range []int{1e3, 1e4} {
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b.Run(fmt.Sprintf("tsidsCount_%d", tsidsCount), func(b *testing.B) {
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for _, tsidsSearch := range []int{1, 1e1, 1e2, 1e3, 1e4} {
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b.Run(fmt.Sprintf("tsidsSearch_%d", tsidsSearch), func(b *testing.B) {
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benchmarkTableSearch(b, rowsCount, tsidsCount, tsidsSearch)
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})
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}
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})
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}
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})
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}
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}
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func openBenchTable(b *testing.B, startTimestamp int64, rowsPerInsert, rowsCount, tsidsCount int) *table {
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b.Helper()
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path := fmt.Sprintf("./benchmarkTableSearch/rows%d_tsids%d", rowsCount, tsidsCount)
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if !createdBenchTables[path] {
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createBenchTable(b, path, startTimestamp, rowsPerInsert, rowsCount, tsidsCount)
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createdBenchTables[path] = true
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}
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strg := newTestStorage()
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tb, err := openTable(path, strg)
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if err != nil {
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b.Fatalf("cnanot open table %q: %s", path, err)
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}
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// Verify rows count in the table opened from files.
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insertsCount := uint64((rowsCount + rowsPerInsert - 1) / rowsPerInsert)
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rowsCountExpected := insertsCount * uint64(rowsPerInsert)
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var m TableMetrics
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tb.UpdateMetrics(&m)
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if rowsCount := m.TotalRowsCount(); rowsCount != rowsCountExpected {
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b.Fatalf("unexpected rows count in the table %q; got %d; want %d", path, rowsCount, rowsCountExpected)
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}
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return tb
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}
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var createdBenchTables = make(map[string]bool)
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func createBenchTable(b *testing.B, path string, startTimestamp int64, rowsPerInsert, rowsCount, tsidsCount int) {
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b.Helper()
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strg := newTestStorage()
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tb, err := openTable(path, strg)
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if err != nil {
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b.Fatalf("cannot open table %q: %s", path, err)
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}
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insertsCount := uint64((rowsCount + rowsPerInsert - 1) / rowsPerInsert)
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timestamp := uint64(startTimestamp)
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var wg sync.WaitGroup
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for k := 0; k < cgroup.AvailableCPUs(); k++ {
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wg.Add(1)
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go func() {
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rows := make([]rawRow, rowsPerInsert)
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value := float64(100)
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for int(atomic.AddUint64(&insertsCount, ^uint64(0))) >= 0 {
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for j := 0; j < rowsPerInsert; j++ {
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ts := atomic.AddUint64(×tamp, uint64(10+rand.Int63n(2)))
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value += float64(int(rand.NormFloat64() * 5))
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r := &rows[j]
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r.PrecisionBits = defaultPrecisionBits
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r.TSID.MetricID = uint64(rand.Intn(tsidsCount) + 1)
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r.Timestamp = int64(ts)
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r.Value = value
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}
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if err := tb.AddRows(rows); err != nil {
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panic(fmt.Errorf("cannot add %d rows: %w", rowsPerInsert, err))
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}
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}
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wg.Done()
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}()
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}
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wg.Wait()
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tb.MustClose()
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}
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func benchmarkTableSearch(b *testing.B, rowsCount, tsidsCount, tsidsSearch int) {
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startTimestamp := timestampFromTime(time.Now()) - 365*24*3600*1000
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rowsPerInsert := getMaxRawRowsPerShard()
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tb := openBenchTable(b, startTimestamp, rowsPerInsert, rowsCount, tsidsCount)
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tr := TimeRange{
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MinTimestamp: startTimestamp,
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MaxTimestamp: (1 << 63) - 1,
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}
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b.ResetTimer()
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b.ReportAllocs()
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rowsPerBench := int64(float64(rowsCount) * float64(tsidsSearch) / float64(tsidsCount))
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if rowsPerBench > int64(rowsCount) {
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rowsPerBench = int64(rowsCount)
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}
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b.SetBytes(rowsPerBench)
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b.RunParallel(func(pb *testing.PB) {
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var ts tableSearch
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tsids := make([]TSID, tsidsSearch)
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var tmpBlock Block
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for pb.Next() {
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for i := range tsids {
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tsids[i].MetricID = 1 + uint64(i)
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}
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ts.Init(tb, tsids, tr)
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for ts.NextBlock() {
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ts.BlockRef.MustReadBlock(&tmpBlock)
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}
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ts.MustClose()
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}
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})
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b.StopTimer()
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tb.MustClose()
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}
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