mirror of
https://github.com/prometheus/prometheus.git
synced 2024-12-25 05:34:05 -08:00
581 lines
15 KiB
Go
581 lines
15 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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"math"
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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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"strconv"
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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/chunks"
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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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defaultDBPath = filepath.Join("benchout", "storage")
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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 ("+filepath.Join("..", "..", "testdata", "20kseries.json")+")").Default(filepath.Join("..", "..", "testdata", "20kseries.json")).String()
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listCmd = cli.Command("ls", "list db blocks")
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listCmdHumanReadable = listCmd.Flag("human-readable", "print human readable values").Short('h').Bool()
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listPath = listCmd.Arg("db path", "database path (default is "+defaultDBPath+")").Default(defaultDBPath).String()
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analyzeCmd = cli.Command("analyze", "analyze churn, label pair cardinality.")
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analyzePath = analyzeCmd.Arg("db path", "database path (default is "+defaultDBPath+")").Default(defaultDBPath).String()
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analyzeBlockID = analyzeCmd.Arg("block id", "block to analyze (default is the last block)").String()
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analyzeLimit = analyzeCmd.Flag("limit", "how many items to show in each list").Default("20").Int()
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dumpCmd = cli.Command("dump", "dump samples from a TSDB")
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dumpPath = dumpCmd.Arg("db path", "database path (default is "+defaultDBPath+")").Default(defaultDBPath).String()
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dumpMinTime = dumpCmd.Flag("min-time", "minimum timestamp to dump").Default(strconv.FormatInt(math.MinInt64, 10)).Int64()
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dumpMaxTime = dumpCmd.Flag("max-time", "maximum timestamp to dump").Default(strconv.FormatInt(math.MaxInt64, 10)).Int64()
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)
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safeDBOptions := *tsdb.DefaultOptions
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safeDBOptions.RetentionDuration = 0
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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, &safeDBOptions)
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if err != nil {
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exitWithError(err)
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}
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printBlocks(db.Blocks(), listCmdHumanReadable)
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case analyzeCmd.FullCommand():
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db, err := tsdb.Open(*analyzePath, nil, nil, &safeDBOptions)
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if err != nil {
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exitWithError(err)
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}
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blocks := db.Blocks()
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var block *tsdb.Block
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if *analyzeBlockID != "" {
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for _, b := range blocks {
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if b.Meta().ULID.String() == *analyzeBlockID {
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block = b
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break
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}
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}
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} else if len(blocks) > 0 {
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block = blocks[len(blocks)-1]
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}
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if block == nil {
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exitWithError(fmt.Errorf("block not found"))
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}
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analyzeBlock(block, *analyzeLimit)
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case dumpCmd.FullCommand():
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db, err := tsdb.Open(*dumpPath, nil, nil, &safeDBOptions)
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if err != nil {
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exitWithError(err)
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}
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dumpSamples(db, *dumpMinTime, *dumpMaxTime)
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}
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if err := flag.CommandLine.Set("log.level", "debug"); err != nil {
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exitWithError(err)
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}
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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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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 labels []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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labels, 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(labels, 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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if err := b.stopProfiling(); err != nil {
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exitWithError(err)
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}
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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(lbls []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(lbls))
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for _, m := range lbls {
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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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if err := pprof.StartCPUProfile(b.cpuprof); err != nil {
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exitWithError(fmt.Errorf("bench: could not start CPU profile: %v", err))
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}
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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() error {
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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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if err := pprof.Lookup("heap").WriteTo(b.memprof, 0); err != nil {
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return fmt.Errorf("error writing mem profile: %v", err)
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}
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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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if err := pprof.Lookup("block").WriteTo(b.blockprof, 0); err != nil {
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return fmt.Errorf("error writing block profile: %v", err)
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}
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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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if err := pprof.Lookup("mutex").WriteTo(b.mtxprof, 0); err != nil {
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return fmt.Errorf("error writing mutex profile: %v", err)
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}
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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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return nil
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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 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, humanReadable *bool) {
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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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getFormatedTime(meta.MinTime, humanReadable),
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getFormatedTime(meta.MaxTime, humanReadable),
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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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func getFormatedTime(timestamp int64, humanReadable *bool) string {
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if *humanReadable {
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return time.Unix(timestamp/1000, 0).String()
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}
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return strconv.FormatInt(timestamp, 10)
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}
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func analyzeBlock(b *tsdb.Block, limit int) {
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fmt.Printf("Block path: %s\n", b.Dir())
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meta := b.Meta()
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// Presume 1ms resolution that Prometheus uses.
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fmt.Printf("Duration: %s\n", (time.Duration(meta.MaxTime-meta.MinTime) * 1e6).String())
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fmt.Printf("Series: %d\n", meta.Stats.NumSeries)
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ir, err := b.Index()
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if err != nil {
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exitWithError(err)
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}
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defer ir.Close()
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allLabelNames, err := ir.LabelNames()
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if err != nil {
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exitWithError(err)
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}
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fmt.Printf("Label names: %d\n", len(allLabelNames))
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type postingInfo struct {
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key string
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metric uint64
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}
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postingInfos := []postingInfo{}
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printInfo := func(postingInfos []postingInfo) {
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sort.Slice(postingInfos, func(i, j int) bool { return postingInfos[i].metric > postingInfos[j].metric })
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for i, pc := range postingInfos {
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fmt.Printf("%d %s\n", pc.metric, pc.key)
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if i >= limit {
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break
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}
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}
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}
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labelsUncovered := map[string]uint64{}
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labelpairsUncovered := map[string]uint64{}
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labelpairsCount := map[string]uint64{}
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entries := 0
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p, err := ir.Postings("", "") // The special all key.
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if err != nil {
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exitWithError(err)
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}
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lbls := labels.Labels{}
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chks := []chunks.Meta{}
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for p.Next() {
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if err = ir.Series(p.At(), &lbls, &chks); err != nil {
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exitWithError(err)
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}
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// Amount of the block time range not covered by this series.
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uncovered := uint64(meta.MaxTime-meta.MinTime) - uint64(chks[len(chks)-1].MaxTime-chks[0].MinTime)
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for _, lbl := range lbls {
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key := lbl.Name + "=" + lbl.Value
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labelsUncovered[lbl.Name] += uncovered
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labelpairsUncovered[key] += uncovered
|
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labelpairsCount[key]++
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entries++
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}
|
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}
|
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if p.Err() != nil {
|
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exitWithError(p.Err())
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}
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fmt.Printf("Postings (unique label pairs): %d\n", len(labelpairsUncovered))
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fmt.Printf("Postings entries (total label pairs): %d\n", entries)
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postingInfos = postingInfos[:0]
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for k, m := range labelpairsUncovered {
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postingInfos = append(postingInfos, postingInfo{k, uint64(float64(m) / float64(meta.MaxTime-meta.MinTime))})
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}
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fmt.Printf("\nLabel pairs most involved in churning:\n")
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printInfo(postingInfos)
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postingInfos = postingInfos[:0]
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for k, m := range labelsUncovered {
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postingInfos = append(postingInfos, postingInfo{k, uint64(float64(m) / float64(meta.MaxTime-meta.MinTime))})
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}
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fmt.Printf("\nLabel names most involved in churning:\n")
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printInfo(postingInfos)
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|
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postingInfos = postingInfos[:0]
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for k, m := range labelpairsCount {
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postingInfos = append(postingInfos, postingInfo{k, m})
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}
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fmt.Printf("\nMost common label pairs:\n")
|
|
printInfo(postingInfos)
|
|
|
|
postingInfos = postingInfos[:0]
|
|
for _, n := range allLabelNames {
|
|
lv, err := ir.LabelValues(n)
|
|
if err != nil {
|
|
exitWithError(err)
|
|
}
|
|
postingInfos = append(postingInfos, postingInfo{n, uint64(lv.Len())})
|
|
}
|
|
fmt.Printf("\nHighest cardinality labels:\n")
|
|
printInfo(postingInfos)
|
|
|
|
postingInfos = postingInfos[:0]
|
|
lv, err := ir.LabelValues("__name__")
|
|
if err != nil {
|
|
exitWithError(err)
|
|
}
|
|
for i := 0; i < lv.Len(); i++ {
|
|
names, err := lv.At(i)
|
|
if err != nil {
|
|
exitWithError(err)
|
|
}
|
|
for _, n := range names {
|
|
postings, err := ir.Postings("__name__", n)
|
|
if err != nil {
|
|
exitWithError(err)
|
|
}
|
|
count := 0
|
|
for postings.Next() {
|
|
count++
|
|
}
|
|
if postings.Err() != nil {
|
|
exitWithError(postings.Err())
|
|
}
|
|
postingInfos = append(postingInfos, postingInfo{n, uint64(count)})
|
|
}
|
|
}
|
|
fmt.Printf("\nHighest cardinality metric names:\n")
|
|
printInfo(postingInfos)
|
|
}
|
|
|
|
func dumpSamples(db *tsdb.DB, mint, maxt int64) {
|
|
q, err := db.Querier(mint, maxt)
|
|
if err != nil {
|
|
exitWithError(err)
|
|
}
|
|
|
|
ss, err := q.Select(labels.NewMustRegexpMatcher("", ".*"))
|
|
if err != nil {
|
|
exitWithError(err)
|
|
}
|
|
|
|
for ss.Next() {
|
|
series := ss.At()
|
|
labels := series.Labels()
|
|
it := series.Iterator()
|
|
for it.Next() {
|
|
ts, val := it.At()
|
|
fmt.Printf("%s %g %d\n", labels, val, ts)
|
|
}
|
|
if it.Err() != nil {
|
|
exitWithError(ss.Err())
|
|
}
|
|
}
|
|
|
|
if ss.Err() != nil {
|
|
exitWithError(ss.Err())
|
|
}
|
|
}
|