prometheus/cmd/tsdb/main.go

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package main
import (
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"flag"
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"fmt"
"io"
"io/ioutil"
"os"
"path/filepath"
"runtime"
"runtime/pprof"
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"sort"
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"sync"
"time"
"github.com/fabxc/tsdb"
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"github.com/fabxc/tsdb/labels"
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dto "github.com/prometheus/client_model/go"
"github.com/prometheus/common/expfmt"
"github.com/prometheus/common/model"
"github.com/spf13/cobra"
)
func main() {
root := &cobra.Command{
Use: "tsdb",
Short: "CLI tool for tsdb",
}
root.AddCommand(
NewBenchCommand(),
)
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flag.CommandLine.Set("log.level", "debug")
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root.Execute()
}
func NewBenchCommand() *cobra.Command {
c := &cobra.Command{
Use: "bench",
Short: "run benchmarks",
}
c.AddCommand(NewBenchWriteCommand())
return c
}
type writeBenchmark struct {
outPath string
cleanup bool
numMetrics int
storage *tsdb.PartitionedDB
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cpuprof *os.File
memprof *os.File
blockprof *os.File
}
func NewBenchWriteCommand() *cobra.Command {
var wb writeBenchmark
c := &cobra.Command{
Use: "write <file>",
Short: "run a write performance benchmark",
Run: wb.run,
}
c.PersistentFlags().StringVar(&wb.outPath, "out", "benchout/", "set the output path")
c.PersistentFlags().IntVar(&wb.numMetrics, "metrics", 10000, "number of metrics to read")
return c
}
func (b *writeBenchmark) run(cmd *cobra.Command, args []string) {
if len(args) != 1 {
exitWithError(fmt.Errorf("missing file argument"))
}
if b.outPath == "" {
dir, err := ioutil.TempDir("", "tsdb_bench")
if err != nil {
exitWithError(err)
}
b.outPath = dir
b.cleanup = true
}
if err := os.RemoveAll(b.outPath); err != nil {
exitWithError(err)
}
if err := os.MkdirAll(b.outPath, 0777); err != nil {
exitWithError(err)
}
dir := filepath.Join(b.outPath, "storage")
st, err := tsdb.OpenPartitioned(dir, 1, nil, nil)
if err != nil {
exitWithError(err)
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}
b.storage = st
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var metrics []model.Metric
measureTime("readData", func() {
f, err := os.Open(args[0])
if err != nil {
exitWithError(err)
}
defer f.Close()
metrics, err = readPrometheusLabels(f, b.numMetrics)
if err != nil {
exitWithError(err)
}
})
defer func() {
reportSize(dir)
if b.cleanup {
os.RemoveAll(b.outPath)
}
}()
measureTime("ingestScrapes", func() {
b.startProfiling()
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if err := b.ingestScrapes(metrics, 3000); err != nil {
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exitWithError(err)
}
})
measureTime("stopStorage", func() {
if err := b.storage.Close(); err != nil {
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exitWithError(err)
}
b.stopProfiling()
})
}
func (b *writeBenchmark) ingestScrapes(metrics []model.Metric, scrapeCount int) error {
var wg sync.WaitGroup
for len(metrics) > 0 {
l := 1000
if len(metrics) < 1000 {
l = len(metrics)
}
batch := metrics[:l]
metrics = metrics[l:]
wg.Add(1)
go func() {
if err := b.ingestScrapesShard(batch, scrapeCount); err != nil {
// exitWithError(err)
fmt.Println(" err", err)
}
wg.Done()
}()
}
wg.Wait()
return nil
}
func (b *writeBenchmark) ingestScrapesShard(metrics []model.Metric, scrapeCount int) error {
app := b.storage.Appender()
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ts := int64(model.Now())
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type sample struct {
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labels labels.Labels
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value int64
}
scrape := make(map[uint64]*sample, len(metrics))
for _, m := range metrics {
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lset := make(labels.Labels, 0, len(m))
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for k, v := range m {
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lset = append(lset, labels.Label{Name: string(k), Value: string(v)})
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}
sort.Sort(lset)
scrape[lset.Hash()] = &sample{
labels: lset,
value: 123456789,
}
}
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for i := 0; i < scrapeCount; i++ {
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ts += int64(30000)
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for _, s := range scrape {
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s.value += 1000
app.Add(s.labels, ts, float64(s.value))
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}
if err := app.Commit(); err != nil {
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return err
}
}
return nil
}
func (b *writeBenchmark) startProfiling() {
var err error
// Start CPU profiling.
b.cpuprof, err = os.Create(filepath.Join(b.outPath, "cpu.prof"))
if err != nil {
exitWithError(fmt.Errorf("bench: could not create cpu profile: %v\n", err))
}
pprof.StartCPUProfile(b.cpuprof)
// Start memory profiling.
b.memprof, err = os.Create(filepath.Join(b.outPath, "mem.prof"))
if err != nil {
exitWithError(fmt.Errorf("bench: could not create memory profile: %v\n", err))
}
runtime.MemProfileRate = 4096
// Start fatal profiling.
b.blockprof, err = os.Create(filepath.Join(b.outPath, "block.prof"))
if err != nil {
exitWithError(fmt.Errorf("bench: could not create block profile: %v\n", err))
}
runtime.SetBlockProfileRate(1)
}
func (b *writeBenchmark) stopProfiling() {
if b.cpuprof != nil {
pprof.StopCPUProfile()
b.cpuprof.Close()
b.cpuprof = nil
}
if b.memprof != nil {
pprof.Lookup("heap").WriteTo(b.memprof, 0)
b.memprof.Close()
b.memprof = nil
}
if b.blockprof != nil {
pprof.Lookup("block").WriteTo(b.blockprof, 0)
b.blockprof.Close()
b.blockprof = nil
runtime.SetBlockProfileRate(0)
}
}
func reportSize(dir string) {
err := filepath.Walk(dir, func(path string, info os.FileInfo, err error) error {
if err != nil || path == dir {
return err
}
if info.Size() < 10*1024*1024 {
return nil
}
fmt.Printf(" > file=%s size=%.04fGiB\n", path[len(dir):], float64(info.Size())/1024/1024/1024)
return nil
})
if err != nil {
exitWithError(err)
}
}
func measureTime(stage string, f func()) {
fmt.Printf(">> start stage=%s\n", stage)
start := time.Now()
f()
fmt.Printf(">> completed stage=%s duration=%s\n", stage, time.Since(start))
}
func readPrometheusLabels(r io.Reader, n int) ([]model.Metric, error) {
dec := expfmt.NewDecoder(r, expfmt.FmtProtoText)
var mets []model.Metric
fps := map[model.Fingerprint]struct{}{}
var mf dto.MetricFamily
var dups int
for i := 0; i < n; {
if err := dec.Decode(&mf); err != nil {
if err == io.EOF {
break
}
return nil, err
}
for _, m := range mf.GetMetric() {
met := make(model.Metric, len(m.GetLabel())+1)
met["__name__"] = model.LabelValue(mf.GetName())
for _, l := range m.GetLabel() {
met[model.LabelName(l.GetName())] = model.LabelValue(l.GetValue())
}
if _, ok := fps[met.Fingerprint()]; ok {
dups++
} else {
mets = append(mets, met)
fps[met.Fingerprint()] = struct{}{}
}
i++
}
}
if dups > 0 {
fmt.Println("dropped duplicate metrics:", dups)
}
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fmt.Println("read metrics", len(mets[:n]))
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return mets[:n], nil
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}
func exitWithError(err error) {
fmt.Fprintln(os.Stderr, err)
os.Exit(1)
}