mirror of
https://github.com/prometheus/prometheus.git
synced 2024-12-26 14:09:41 -08:00
366 lines
8.6 KiB
Go
366 lines
8.6 KiB
Go
// Copyright 2017 The Prometheus Authors
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package main
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import (
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"bufio"
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"flag"
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"fmt"
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"io"
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"io/ioutil"
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"os"
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"path/filepath"
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"runtime"
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"runtime/pprof"
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"sort"
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"strings"
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"sync"
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"text/tabwriter"
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"time"
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"github.com/go-kit/kit/log"
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"github.com/pkg/errors"
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"github.com/prometheus/tsdb"
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"github.com/prometheus/tsdb/labels"
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"gopkg.in/alecthomas/kingpin.v2"
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)
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func main() {
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var (
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cli = kingpin.New(filepath.Base(os.Args[0]), "CLI tool for tsdb")
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benchCmd = cli.Command("bench", "run benchmarks")
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benchWriteCmd = benchCmd.Command("write", "run a write performance benchmark")
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benchWriteOutPath = benchWriteCmd.Flag("out", "set the output path").Default("benchout/").String()
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benchWriteNumMetrics = benchWriteCmd.Flag("metrics", "number of metrics to read").Default("10000").Int()
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benchSamplesFile = benchWriteCmd.Arg("file", "input file with samples data, default is (../../testdata/20k.series)").Default("../../testdata/20k.series").String()
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listCmd = cli.Command("ls", "list db blocks")
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listPath = listCmd.Arg("db path", "database path (default is benchout/storage)").Default("benchout/storage").String()
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)
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switch kingpin.MustParse(cli.Parse(os.Args[1:])) {
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case benchWriteCmd.FullCommand():
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wb := &writeBenchmark{
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outPath: *benchWriteOutPath,
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numMetrics: *benchWriteNumMetrics,
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samplesFile: *benchSamplesFile,
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}
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wb.run()
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case listCmd.FullCommand():
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db, err := tsdb.Open(*listPath, nil, nil, nil)
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if err != nil {
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exitWithError(err)
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}
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printBlocks(db.Blocks())
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}
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flag.CommandLine.Set("log.level", "debug")
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}
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type writeBenchmark struct {
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outPath string
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samplesFile string
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cleanup bool
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numMetrics int
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storage *tsdb.DB
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cpuprof *os.File
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memprof *os.File
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blockprof *os.File
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mtxprof *os.File
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}
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func (b *writeBenchmark) run() {
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if b.outPath == "" {
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dir, err := ioutil.TempDir("", "tsdb_bench")
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if err != nil {
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exitWithError(err)
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}
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b.outPath = dir
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b.cleanup = true
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}
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if err := os.RemoveAll(b.outPath); err != nil {
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exitWithError(err)
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}
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if err := os.MkdirAll(b.outPath, 0777); err != nil {
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exitWithError(err)
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}
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dir := filepath.Join(b.outPath, "storage")
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l := log.NewLogfmtLogger(log.NewSyncWriter(os.Stderr))
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l = log.With(l, "ts", log.DefaultTimestampUTC, "caller", log.DefaultCaller)
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st, err := tsdb.Open(dir, l, nil, &tsdb.Options{
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WALFlushInterval: 200 * time.Millisecond,
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RetentionDuration: 15 * 24 * 60 * 60 * 1000, // 15 days in milliseconds
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BlockRanges: tsdb.ExponentialBlockRanges(2*60*60*1000, 5, 3),
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})
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if err != nil {
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exitWithError(err)
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}
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b.storage = st
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var metrics []labels.Labels
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measureTime("readData", func() {
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f, err := os.Open(b.samplesFile)
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if err != nil {
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exitWithError(err)
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}
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defer f.Close()
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metrics, err = readPrometheusLabels(f, b.numMetrics)
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if err != nil {
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exitWithError(err)
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}
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})
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var total uint64
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dur := measureTime("ingestScrapes", func() {
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b.startProfiling()
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total, err = b.ingestScrapes(metrics, 3000)
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if err != nil {
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exitWithError(err)
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}
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})
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fmt.Println(" > total samples:", total)
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fmt.Println(" > samples/sec:", float64(total)/dur.Seconds())
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measureTime("stopStorage", func() {
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if err := b.storage.Close(); err != nil {
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exitWithError(err)
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}
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b.stopProfiling()
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})
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}
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const timeDelta = 30000
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func (b *writeBenchmark) ingestScrapes(lbls []labels.Labels, scrapeCount int) (uint64, error) {
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var mu sync.Mutex
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var total uint64
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for i := 0; i < scrapeCount; i += 100 {
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var wg sync.WaitGroup
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lbls := lbls
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for len(lbls) > 0 {
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l := 1000
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if len(lbls) < 1000 {
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l = len(lbls)
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}
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batch := lbls[:l]
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lbls = lbls[l:]
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wg.Add(1)
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go func() {
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n, err := b.ingestScrapesShard(batch, 100, int64(timeDelta*i))
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if err != nil {
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// exitWithError(err)
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fmt.Println(" err", err)
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}
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mu.Lock()
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total += n
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mu.Unlock()
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wg.Done()
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}()
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}
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wg.Wait()
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}
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fmt.Println("ingestion completed")
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return total, nil
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}
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func (b *writeBenchmark) ingestScrapesShard(metrics []labels.Labels, scrapeCount int, baset int64) (uint64, error) {
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ts := baset
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type sample struct {
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labels labels.Labels
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value int64
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ref *uint64
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}
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scrape := make([]*sample, 0, len(metrics))
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for _, m := range metrics {
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scrape = append(scrape, &sample{
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labels: m,
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value: 123456789,
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})
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}
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total := uint64(0)
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for i := 0; i < scrapeCount; i++ {
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app := b.storage.Appender()
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ts += timeDelta
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for _, s := range scrape {
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s.value += 1000
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if s.ref == nil {
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ref, err := app.Add(s.labels, ts, float64(s.value))
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if err != nil {
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panic(err)
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}
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s.ref = &ref
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} else if err := app.AddFast(*s.ref, ts, float64(s.value)); err != nil {
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if errors.Cause(err) != tsdb.ErrNotFound {
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panic(err)
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}
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ref, err := app.Add(s.labels, ts, float64(s.value))
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if err != nil {
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panic(err)
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}
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s.ref = &ref
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}
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total++
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}
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if err := app.Commit(); err != nil {
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return total, err
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}
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}
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return total, nil
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}
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func (b *writeBenchmark) startProfiling() {
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var err error
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// Start CPU profiling.
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b.cpuprof, err = os.Create(filepath.Join(b.outPath, "cpu.prof"))
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if err != nil {
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exitWithError(fmt.Errorf("bench: could not create cpu profile: %v", err))
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}
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pprof.StartCPUProfile(b.cpuprof)
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// Start memory profiling.
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b.memprof, err = os.Create(filepath.Join(b.outPath, "mem.prof"))
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if err != nil {
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exitWithError(fmt.Errorf("bench: could not create memory profile: %v", err))
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}
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runtime.MemProfileRate = 64 * 1024
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// Start fatal profiling.
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b.blockprof, err = os.Create(filepath.Join(b.outPath, "block.prof"))
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if err != nil {
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exitWithError(fmt.Errorf("bench: could not create block profile: %v", err))
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}
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runtime.SetBlockProfileRate(20)
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b.mtxprof, err = os.Create(filepath.Join(b.outPath, "mutex.prof"))
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if err != nil {
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exitWithError(fmt.Errorf("bench: could not create mutex profile: %v", err))
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}
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runtime.SetMutexProfileFraction(20)
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}
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func (b *writeBenchmark) stopProfiling() {
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if b.cpuprof != nil {
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pprof.StopCPUProfile()
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b.cpuprof.Close()
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b.cpuprof = nil
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}
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if b.memprof != nil {
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pprof.Lookup("heap").WriteTo(b.memprof, 0)
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b.memprof.Close()
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b.memprof = nil
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}
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if b.blockprof != nil {
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pprof.Lookup("block").WriteTo(b.blockprof, 0)
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b.blockprof.Close()
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b.blockprof = nil
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runtime.SetBlockProfileRate(0)
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}
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if b.mtxprof != nil {
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pprof.Lookup("mutex").WriteTo(b.mtxprof, 0)
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b.mtxprof.Close()
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b.mtxprof = nil
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runtime.SetMutexProfileFraction(0)
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}
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}
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func measureTime(stage string, f func()) time.Duration {
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fmt.Printf(">> start stage=%s\n", stage)
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start := time.Now()
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f()
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fmt.Printf(">> completed stage=%s duration=%s\n", stage, time.Since(start))
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return time.Since(start)
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}
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func mapToLabels(m map[string]interface{}, l *labels.Labels) {
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for k, v := range m {
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*l = append(*l, labels.Label{Name: k, Value: v.(string)})
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}
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}
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func readPrometheusLabels(r io.Reader, n int) ([]labels.Labels, error) {
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scanner := bufio.NewScanner(r)
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var mets []labels.Labels
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hashes := map[uint64]struct{}{}
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i := 0
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for scanner.Scan() && i < n {
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m := make(labels.Labels, 0, 10)
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r := strings.NewReplacer("\"", "", "{", "", "}", "")
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s := r.Replace(scanner.Text())
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labelChunks := strings.Split(s, ",")
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for _, labelChunk := range labelChunks {
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split := strings.Split(labelChunk, ":")
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m = append(m, labels.Label{Name: split[0], Value: split[1]})
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}
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// Order of the k/v labels matters, don't assume we'll always receive them already sorted.
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sort.Sort(m)
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h := m.Hash()
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if _, ok := hashes[h]; ok {
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continue
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}
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mets = append(mets, m)
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hashes[h] = struct{}{}
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i++
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}
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return mets, nil
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}
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func exitWithError(err error) {
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fmt.Fprintln(os.Stderr, err)
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os.Exit(1)
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}
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func printBlocks(blocks []*tsdb.Block) {
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tw := tabwriter.NewWriter(os.Stdout, 0, 0, 2, ' ', 0)
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defer tw.Flush()
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fmt.Fprintln(tw, "BLOCK ULID\tMIN TIME\tMAX TIME\tNUM SAMPLES\tNUM CHUNKS\tNUM SERIES")
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for _, b := range blocks {
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meta := b.Meta()
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fmt.Fprintf(tw,
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"%v\t%v\t%v\t%v\t%v\t%v\n",
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meta.ULID,
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meta.MinTime,
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meta.MaxTime,
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meta.Stats.NumSamples,
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meta.Stats.NumChunks,
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meta.Stats.NumSeries,
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)
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}
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}
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