prometheus/cmd/tsdb/main.go

366 lines
8.6 KiB
Go

// Copyright 2017 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package main
import (
"bufio"
"flag"
"fmt"
"io"
"io/ioutil"
"os"
"path/filepath"
"runtime"
"runtime/pprof"
"strings"
"sync"
"text/tabwriter"
"time"
"github.com/go-kit/kit/log"
"github.com/pkg/errors"
"github.com/prometheus/tsdb"
"github.com/prometheus/tsdb/labels"
"gopkg.in/alecthomas/kingpin.v2"
)
func main() {
var (
cli = kingpin.New(filepath.Base(os.Args[0]), "CLI tool for tsdb")
benchCmd = cli.Command("bench", "run benchmarks")
benchWriteCmd = benchCmd.Command("write", "run a write performance benchmark")
benchWriteOutPath = benchWriteCmd.Flag("out", "set the output path").Default("benchout/").String()
benchWriteNumMetrics = benchWriteCmd.Flag("metrics", "number of metrics to read").Default("10000").Int()
benchSamplesFile = benchWriteCmd.Arg("file", "input file with samples data, default is (../../testdata/20k.series)").Default("../../testdata/20k.series").String()
listCmd = cli.Command("ls", "list db blocks")
listPath = listCmd.Arg("db path", "database path (default is benchout/storage)").Default("benchout/storage").String()
)
switch kingpin.MustParse(cli.Parse(os.Args[1:])) {
case benchWriteCmd.FullCommand():
wb := &writeBenchmark{
outPath: *benchWriteOutPath,
numMetrics: *benchWriteNumMetrics,
samplesFile: *benchSamplesFile,
}
wb.run()
case listCmd.FullCommand():
db, err := tsdb.Open(*listPath, nil, nil, nil)
if err != nil {
exitWithError(err)
}
printBlocks(db.Blocks())
}
flag.CommandLine.Set("log.level", "debug")
}
type writeBenchmark struct {
outPath string
samplesFile string
cleanup bool
numMetrics int
storage *tsdb.DB
cpuprof *os.File
memprof *os.File
blockprof *os.File
mtxprof *os.File
}
func (b *writeBenchmark) run() {
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")
l := log.NewLogfmtLogger(log.NewSyncWriter(os.Stderr))
l = log.With(l, "ts", log.DefaultTimestampUTC, "caller", log.DefaultCaller)
st, err := tsdb.Open(dir, l, nil, &tsdb.Options{
WALFlushInterval: 200 * time.Millisecond,
RetentionDuration: 15 * 24 * 60 * 60 * 1000, // 15 days in milliseconds
BlockRanges: tsdb.ExponentialBlockRanges(2*60*60*1000, 5, 3),
})
if err != nil {
exitWithError(err)
}
b.storage = st
var metrics []labels.Labels
measureTime("readData", func() {
f, err := os.Open(b.samplesFile)
if err != nil {
exitWithError(err)
}
defer f.Close()
metrics, err = readPrometheusLabels(f, b.numMetrics)
if err != nil {
exitWithError(err)
}
})
var total uint64
dur := measureTime("ingestScrapes", func() {
b.startProfiling()
total, err = b.ingestScrapes(metrics, 3000)
if err != nil {
exitWithError(err)
}
})
fmt.Println(" > total samples:", total)
fmt.Println(" > samples/sec:", float64(total)/dur.Seconds())
measureTime("stopStorage", func() {
if err := b.storage.Close(); err != nil {
exitWithError(err)
}
b.stopProfiling()
})
}
const timeDelta = 30000
func (b *writeBenchmark) ingestScrapes(lbls []labels.Labels, scrapeCount int) (uint64, error) {
var mu sync.Mutex
var total uint64
for i := 0; i < scrapeCount; i += 100 {
var wg sync.WaitGroup
lbls := lbls
for len(lbls) > 0 {
l := 1000
if len(lbls) < 1000 {
l = len(lbls)
}
batch := lbls[:l]
lbls = lbls[l:]
wg.Add(1)
go func() {
n, err := b.ingestScrapesShard(batch, 100, int64(timeDelta*i))
if err != nil {
// exitWithError(err)
fmt.Println(" err", err)
}
mu.Lock()
total += n
mu.Unlock()
wg.Done()
}()
}
wg.Wait()
}
fmt.Println("ingestion completed")
return total, nil
}
func (b *writeBenchmark) ingestScrapesShard(metrics []labels.Labels, scrapeCount int, baset int64) (uint64, error) {
ts := baset
type sample struct {
labels labels.Labels
value int64
ref *uint64
}
scrape := make([]*sample, 0, len(metrics))
for _, m := range metrics {
scrape = append(scrape, &sample{
labels: m,
value: 123456789,
})
}
total := uint64(0)
for i := 0; i < scrapeCount; i++ {
app := b.storage.Appender()
ts += timeDelta
for _, s := range scrape {
s.value += 1000
if s.ref == nil {
ref, err := app.Add(s.labels, ts, float64(s.value))
if err != nil {
panic(err)
}
s.ref = &ref
} else if err := app.AddFast(*s.ref, ts, float64(s.value)); err != nil {
if errors.Cause(err) != tsdb.ErrNotFound {
panic(err)
}
ref, err := app.Add(s.labels, ts, float64(s.value))
if err != nil {
panic(err)
}
s.ref = &ref
}
total++
}
if err := app.Commit(); err != nil {
return total, err
}
}
return total, 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", 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", err))
}
runtime.MemProfileRate = 64 * 1024
// 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", err))
}
runtime.SetBlockProfileRate(20)
b.mtxprof, err = os.Create(filepath.Join(b.outPath, "mutex.prof"))
if err != nil {
exitWithError(fmt.Errorf("bench: could not create mutex profile: %v", err))
}
runtime.SetMutexProfileFraction(20)
}
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)
}
if b.mtxprof != nil {
pprof.Lookup("mutex").WriteTo(b.mtxprof, 0)
b.mtxprof.Close()
b.mtxprof = nil
runtime.SetMutexProfileFraction(0)
}
}
func measureTime(stage string, f func()) time.Duration {
fmt.Printf(">> start stage=%s\n", stage)
start := time.Now()
f()
fmt.Printf(">> completed stage=%s duration=%s\n", stage, time.Since(start))
return time.Since(start)
}
func mapToLabels(m map[string]interface{}, l *labels.Labels) {
for k, v := range m {
*l = append(*l, labels.Label{Name: k, Value: v.(string)})
}
}
func readPrometheusLabels(r io.Reader, n int) ([]labels.Labels, error) {
scanner := bufio.NewScanner(r)
var mets []labels.Labels
hashes := map[uint64]struct{}{}
i := 0
for scanner.Scan() && i < n {
m := make(labels.Labels, 0, 10)
// Order of the k/v labels matters, so rather than decoding arbitrary json into an
// interface{}, parse the line ourselves and remove unnecessary characters.
r := strings.NewReplacer("\"", "", "{", "", "}", "")
s := r.Replace(scanner.Text())
labelChunks := strings.Split(s, ",")
for _, labelChunk := range labelChunks {
split := strings.Split(labelChunk, ":")
m = append(m, labels.Label{Name: split[0], Value: split[1]})
}
h := m.Hash()
if _, ok := hashes[h]; ok {
continue
}
mets = append(mets, m)
hashes[h] = struct{}{}
i++
}
return mets, nil
}
func exitWithError(err error) {
fmt.Fprintln(os.Stderr, err)
os.Exit(1)
}
func printBlocks(blocks []*tsdb.Block) {
tw := tabwriter.NewWriter(os.Stdout, 0, 0, 2, ' ', 0)
defer tw.Flush()
fmt.Fprintln(tw, "BLOCK ULID\tMIN TIME\tMAX TIME\tNUM SAMPLES\tNUM CHUNKS\tNUM SERIES")
for _, b := range blocks {
meta := b.Meta()
fmt.Fprintf(tw,
"%v\t%v\t%v\t%v\t%v\t%v\n",
meta.ULID,
meta.MinTime,
meta.MaxTime,
meta.Stats.NumSamples,
meta.Stats.NumChunks,
meta.Stats.NumSeries,
)
}
}