Add support to easily benchmark binary for understanding their latencies/histogram
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312
cmd/lotus-bench/cli.go
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312
cmd/lotus-bench/cli.go
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@ -0,0 +1,312 @@
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package main
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import (
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"errors"
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"fmt"
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"io"
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"os"
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"os/exec"
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"os/signal"
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"strconv"
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"strings"
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"sync"
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"time"
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"github.com/urfave/cli/v2"
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)
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var cliCmd = &cli.Command{
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Name: "cli",
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Usage: "Runs a concurrent stress test on one or more binaries commands and prints the performance metrics including latency distribution and histogram",
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Description: `This benchmark has the following features:
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* Can query each command both sequentially and concurrently
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* Supports rate limiting
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* Can query multiple different commands at once (supporting different concurrency level and rate limiting for each command)
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* Gives a nice reporting summary of the stress testing of each command (including latency distribution, histogram and more)
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* Easy to use
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To use this benchmark you must specify the commands you want to test using the --cmd options, the format of it is:
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--cmd=CMD[:CONCURRENCY][:QPS] where only NAME is required.
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Here are some real examples:
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lotus-bench cli --cmd='lotus-shed mpool miner-select-messages' // runs the command with default concurrency and qps
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lotus-bench cli --cmd='lotus-shed mpool miner-select-messages:3' // override concurrency to 3
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lotus-bench cli --cmd='lotus-shed mpool miner-select-messages::100' // override to 100 qps while using default concurrency
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lotus-bench cli --cmd='lotus-shed mpool miner-select-messages:3:100' // run using 3 workers but limit to 100 qps
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lotus-bench cli --cmd='lotus-shed mpool miner-select-messages' --cmd='lotus sync wait' // run two commands at once
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`,
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Flags: []cli.Flag{
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&cli.DurationFlag{
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Name: "duration",
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Value: 60 * time.Second,
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Usage: "Duration of benchmark in seconds",
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},
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&cli.IntFlag{
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Name: "concurrency",
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Value: 10,
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Usage: "How many workers should be used per command (can be overridden per command)",
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},
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&cli.IntFlag{
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Name: "qps",
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Value: 0,
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Usage: "How many requests per second should be sent per command (can be overridden per command), a value of 0 means no limit",
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},
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&cli.StringSliceFlag{
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Name: "cmd",
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Usage: `Command to benchmark, you can specify multiple commands by repeating this flag. You can also specify command specific options to set the concurrency and qps for each command (see usage).`,
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},
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&cli.DurationFlag{
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Name: "watch",
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Value: 0 * time.Second,
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Usage: "If >0 then generates reports every N seconds (only supports linux/unix)",
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},
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&cli.BoolFlag{
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Name: "print-response",
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Value: false,
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Usage: "print the response of each request",
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},
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},
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Action: func(cctx *cli.Context) error {
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if len(cctx.StringSlice("cmd")) == 0 {
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return errors.New("you must specify and least one cmd to benchmark")
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}
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var cmds []*CMD
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for _, str := range cctx.StringSlice("cmd") {
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entries := strings.SplitN(str, ":", 4)
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if len(entries) == 0 {
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return errors.New("invalid cmd format")
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}
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// check if concurrency was specified
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concurrency := cctx.Int("concurrency")
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if len(entries) > 1 {
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if len(entries[1]) > 0 {
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var err error
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concurrency, err = strconv.Atoi(entries[1])
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if err != nil {
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return fmt.Errorf("could not parse concurrency value from command %s: %v", entries[0], err)
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}
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}
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}
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// check if qps was specified
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qps := cctx.Int("qps")
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if len(entries) > 2 {
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if len(entries[2]) > 0 {
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var err error
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qps, err = strconv.Atoi(entries[2])
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if err != nil {
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return fmt.Errorf("could not parse qps value from command %s: %v", entries[0], err)
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}
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}
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}
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cmds = append(cmds, &CMD{
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w: os.Stdout,
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cmd: entries[0],
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concurrency: concurrency,
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qps: qps,
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printResp: cctx.Bool("print-response"),
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})
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}
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// terminate early on ctrl+c
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c := make(chan os.Signal, 1)
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signal.Notify(c, os.Interrupt)
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go func() {
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<-c
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fmt.Println("Received interrupt, stopping...")
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for _, cmd := range cmds {
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cmd.Stop()
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}
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}()
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// stop all threads after duration
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go func() {
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time.Sleep(cctx.Duration("duration"))
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for _, cmd := range cmds {
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cmd.Stop()
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}
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}()
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// start all threads
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var wg sync.WaitGroup
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wg.Add(len(cmds))
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for _, cmd := range cmds {
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go func(cmd *CMD) {
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defer wg.Done()
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err := cmd.Run()
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if err != nil {
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fmt.Printf("error running cmd: %v\n", err)
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}
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}(cmd)
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}
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// if watch is set then print a report every N seconds
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var progressCh chan struct{}
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if cctx.Duration("watch") > 0 {
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progressCh = make(chan struct{}, 1)
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go func(progressCh chan struct{}) {
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ticker := time.NewTicker(cctx.Duration("watch"))
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for {
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clearAndPrintReport := func() {
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// clear the screen move the curser to the top left
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fmt.Print("\033[2J")
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fmt.Printf("\033[%d;%dH", 1, 1)
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for i, cmd := range cmds {
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cmd.Report()
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if i < len(cmds)-1 {
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fmt.Println()
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}
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}
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}
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select {
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case <-ticker.C:
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clearAndPrintReport()
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case <-progressCh:
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clearAndPrintReport()
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return
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}
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}
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}(progressCh)
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}
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wg.Wait()
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if progressCh != nil {
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// wait for the watch go routine to return
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progressCh <- struct{}{}
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// no need to print the report again
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return nil
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}
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// print the report for each command
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for i, cmd := range cmds {
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cmd.Report()
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if i < len(cmds)-1 {
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fmt.Println()
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}
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}
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return nil
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},
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}
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// CMD handles the benchmarking of a single command.
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type CMD struct {
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w io.Writer
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// the cmd we want to benchmark
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cmd string
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// the number of concurrent requests to make to this command
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concurrency int
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// if >0 then limit to qps is the max number of requests per second to make to this command (0 = no limit)
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qps int
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// whether or not to print the response of each request (useful for debugging)
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printResp bool
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// instruct the worker go routines to stop
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stopCh chan struct{}
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// when the command bencharking started
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start time.Time
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// results channel is used by the workers to send results to the reporter
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results chan *result
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// reporter handles reading the results from workers and printing the report statistics
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reporter *Reporter
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}
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func (c *CMD) Run() error {
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var wg sync.WaitGroup
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wg.Add(c.concurrency)
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c.results = make(chan *result, c.concurrency*1_000)
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c.stopCh = make(chan struct{}, c.concurrency)
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go func() {
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c.reporter = NewReporter(c.results, c.w)
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c.reporter.Run()
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}()
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c.start = time.Now()
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// throttle the number of requests per second
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var qpsTicker *time.Ticker
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if c.qps > 0 {
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qpsTicker = time.NewTicker(time.Second / time.Duration(c.qps))
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}
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for i := 0; i < c.concurrency; i++ {
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go func() {
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c.startWorker(qpsTicker)
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wg.Done()
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}()
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}
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wg.Wait()
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// close the results channel so reporter will stop
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close(c.results)
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// wait until the reporter is done
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<-c.reporter.doneCh
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return nil
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}
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func (c *CMD) startWorker(qpsTicker *time.Ticker) {
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for {
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// check if we should stop
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select {
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case <-c.stopCh:
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return
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default:
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}
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// wait for the next tick if we are rate limiting this command
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if qpsTicker != nil {
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<-qpsTicker.C
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}
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start := time.Now()
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var statusCode int = 0
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arr := strings.Fields(c.cmd)
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data, err := exec.Command(arr[0], arr[1:]...).Output()
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if err != nil {
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fmt.Println("1")
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if exitError, ok := err.(*exec.ExitError); ok {
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statusCode = exitError.ExitCode()
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} else {
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statusCode = 1
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}
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} else {
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if c.printResp {
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fmt.Printf("[%s] %s", c.cmd, string(data))
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}
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}
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c.results <- &result{
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statusCode: &statusCode,
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err: err,
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duration: time.Since(start),
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}
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}
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}
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func (c *CMD) Stop() {
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for i := 0; i < c.concurrency; i++ {
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c.stopCh <- struct{}{}
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}
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}
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func (c *CMD) Report() {
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total := time.Since(c.start)
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fmt.Fprintf(c.w, "[%s]:\n", c.cmd)
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fmt.Fprintf(c.w, "- Options:\n")
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fmt.Fprintf(c.w, " - concurrency: %d\n", c.concurrency)
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fmt.Fprintf(c.w, " - qps: %d\n", c.qps)
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c.reporter.Print(total, c.w)
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}
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@ -120,6 +120,7 @@ func main() {
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sealBenchCmd,
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simpleCmd,
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importBenchCmd,
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cliCmd,
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rpcCmd,
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},
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}
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181
cmd/lotus-bench/reporter.go
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181
cmd/lotus-bench/reporter.go
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package main
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import (
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"fmt"
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"io"
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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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)
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// result is the result of a single rpc method request.
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type result struct {
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err error
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statusCode *int
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duration time.Duration
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}
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// Reporter reads the results from the workers through the results channel and aggregates the results.
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type Reporter struct {
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// write the report to this writer
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w io.Writer
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// the reporter read the results from this channel
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results chan *result
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// doneCh is used to signal that the reporter has finished reading the results (channel has closed)
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doneCh chan bool
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// lock protect the following fields during critical sections (if --watch was specified)
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lock sync.Mutex
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// the latencies of all requests
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latencies []int64
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// the number of requests that returned each status code
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statusCodes map[int]int
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// the number of errors that occurred
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errors map[string]int
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}
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func NewReporter(results chan *result, w io.Writer) *Reporter {
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return &Reporter{
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w: w,
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results: results,
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doneCh: make(chan bool, 1),
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statusCodes: make(map[int]int),
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errors: make(map[string]int),
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}
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}
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func (r *Reporter) Run() {
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for res := range r.results {
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r.lock.Lock()
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r.latencies = append(r.latencies, res.duration.Milliseconds())
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if res.statusCode != nil {
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r.statusCodes[*res.statusCode]++
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}
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if res.err != nil {
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if len(r.errors) < 1_000_000 {
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r.errors[res.err.Error()]++
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} else {
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// we don't want to store too many errors in memory
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r.errors["hidden"]++
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}
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} else {
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r.errors["nil"]++
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}
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r.lock.Unlock()
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}
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r.doneCh <- true
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}
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func (r *Reporter) Print(elapsed time.Duration, w io.Writer) {
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r.lock.Lock()
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defer r.lock.Unlock()
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nrReq := int64(len(r.latencies))
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if nrReq == 0 {
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fmt.Println("No requests were made")
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return
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}
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// we need to sort the latencies slice to calculate the percentiles
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sort.Slice(r.latencies, func(i, j int) bool {
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return r.latencies[i] < r.latencies[j]
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})
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var totalLatency int64 = 0
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for _, latency := range r.latencies {
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totalLatency += latency
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}
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fmt.Fprintf(w, "- Total Requests: %d\n", nrReq)
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fmt.Fprintf(w, "- Total Duration: %dms\n", elapsed.Milliseconds())
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fmt.Fprintf(w, "- Requests/sec: %f\n", float64(nrReq)/elapsed.Seconds())
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fmt.Fprintf(w, "- Avg latency: %dms\n", totalLatency/nrReq)
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fmt.Fprintf(w, "- Median latency: %dms\n", r.latencies[nrReq/2])
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fmt.Fprintf(w, "- Latency distribution:\n")
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percentiles := []float64{0.1, 0.5, 0.9, 0.95, 0.99, 0.999}
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for _, p := range percentiles {
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idx := int64(p * float64(nrReq))
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fmt.Fprintf(w, " %s%% in %dms\n", fmt.Sprintf("%.2f", p*100.0), r.latencies[idx])
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}
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// create a simple histogram with 10 buckets spanning the range of latency
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// into equal ranges
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//
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nrBucket := 10
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buckets := make([]Bucket, nrBucket)
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latencyRange := r.latencies[len(r.latencies)-1]
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bucketRange := latencyRange / int64(nrBucket)
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// mark the end of each bucket
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for i := 0; i < nrBucket; i++ {
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buckets[i].start = int64(i) * bucketRange
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buckets[i].end = buckets[i].start + bucketRange
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// extend the last bucked by any remaning range caused by the integer division
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if i == nrBucket-1 {
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buckets[i].end = latencyRange
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}
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}
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// count the number of requests in each bucket
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currBucket := 0
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for i := 0; i < len(r.latencies); {
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if r.latencies[i] <= buckets[currBucket].end {
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buckets[currBucket].cnt++
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i++
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} else {
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currBucket++
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}
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}
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// print the histogram using a tabwriter which will align the columns nicely
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fmt.Fprintf(w, "- Histogram:\n")
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const padding = 2
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tabWriter := tabwriter.NewWriter(w, 0, 0, padding, ' ', tabwriter.AlignRight|tabwriter.Debug)
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for i := 0; i < nrBucket; i++ {
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ratio := float64(buckets[i].cnt) / float64(nrReq)
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bars := strings.Repeat("#", int(ratio*100))
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fmt.Fprintf(tabWriter, " %d-%dms\t%d\t%s (%s%%)\n", buckets[i].start, buckets[i].end, buckets[i].cnt, bars, fmt.Sprintf("%.2f", ratio*100))
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}
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tabWriter.Flush() //nolint:errcheck
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fmt.Fprintf(w, "- Status codes:\n")
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for code, cnt := range r.statusCodes {
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fmt.Fprintf(w, " [%d]: %d\n", code, cnt)
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}
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// print the 10 most occurring errors (in case error values are not unique)
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//
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type kv struct {
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err string
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cnt int
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}
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var sortedErrors []kv
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for err, cnt := range r.errors {
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sortedErrors = append(sortedErrors, kv{err, cnt})
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}
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sort.Slice(sortedErrors, func(i, j int) bool {
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return sortedErrors[i].cnt > sortedErrors[j].cnt
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})
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fmt.Fprintf(w, "- Errors (top 10):\n")
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for i, se := range sortedErrors {
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if i > 10 {
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break
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}
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fmt.Fprintf(w, " [%s]: %d\n", se.err, se.cnt)
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}
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}
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type Bucket struct {
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start int64
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// the end value of the bucket
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end int64
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// how many entries are in the bucket
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cnt int
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}
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@ -9,11 +9,9 @@ import (
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"net/http"
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"os"
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"os/signal"
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"sort"
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"strconv"
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"strings"
|
||||
"sync"
|
||||
"text/tabwriter"
|
||||
"time"
|
||||
|
||||
"github.com/urfave/cli/v2"
|
||||
@ -243,13 +241,6 @@ type RPCMethod struct {
|
||||
reporter *Reporter
|
||||
}
|
||||
|
||||
// result is the result of a single rpc method request.
|
||||
type result struct {
|
||||
err error
|
||||
statusCode *int
|
||||
duration time.Duration
|
||||
}
|
||||
|
||||
func (rpc *RPCMethod) Run() error {
|
||||
client := &http.Client{
|
||||
Timeout: 0,
|
||||
@ -411,166 +402,3 @@ func (rpc *RPCMethod) Report() {
|
||||
fmt.Fprintf(rpc.w, " - qps: %d\n", rpc.qps)
|
||||
rpc.reporter.Print(total, rpc.w)
|
||||
}
|
||||
|
||||
// Reporter reads the results from the workers through the results channel and aggregates the results.
|
||||
type Reporter struct {
|
||||
// write the report to this writer
|
||||
w io.Writer
|
||||
// the reporter read the results from this channel
|
||||
results chan *result
|
||||
// doneCh is used to signal that the reporter has finished reading the results (channel has closed)
|
||||
doneCh chan bool
|
||||
|
||||
// lock protect the following fields during critical sections (if --watch was specified)
|
||||
lock sync.Mutex
|
||||
// the latencies of all requests
|
||||
latencies []int64
|
||||
// the number of requests that returned each status code
|
||||
statusCodes map[int]int
|
||||
// the number of errors that occurred
|
||||
errors map[string]int
|
||||
}
|
||||
|
||||
func NewReporter(results chan *result, w io.Writer) *Reporter {
|
||||
return &Reporter{
|
||||
w: w,
|
||||
results: results,
|
||||
doneCh: make(chan bool, 1),
|
||||
statusCodes: make(map[int]int),
|
||||
errors: make(map[string]int),
|
||||
}
|
||||
}
|
||||
|
||||
func (r *Reporter) Run() {
|
||||
for res := range r.results {
|
||||
r.lock.Lock()
|
||||
|
||||
r.latencies = append(r.latencies, res.duration.Milliseconds())
|
||||
|
||||
if res.statusCode != nil {
|
||||
r.statusCodes[*res.statusCode]++
|
||||
}
|
||||
|
||||
if res.err != nil {
|
||||
if len(r.errors) < 1_000_000 {
|
||||
r.errors[res.err.Error()]++
|
||||
} else {
|
||||
// we don't want to store too many errors in memory
|
||||
r.errors["hidden"]++
|
||||
}
|
||||
} else {
|
||||
r.errors["nil"]++
|
||||
}
|
||||
|
||||
r.lock.Unlock()
|
||||
}
|
||||
|
||||
r.doneCh <- true
|
||||
}
|
||||
|
||||
func (r *Reporter) Print(elapsed time.Duration, w io.Writer) {
|
||||
r.lock.Lock()
|
||||
defer r.lock.Unlock()
|
||||
|
||||
nrReq := int64(len(r.latencies))
|
||||
if nrReq == 0 {
|
||||
fmt.Println("No requests were made")
|
||||
return
|
||||
}
|
||||
|
||||
// we need to sort the latencies slice to calculate the percentiles
|
||||
sort.Slice(r.latencies, func(i, j int) bool {
|
||||
return r.latencies[i] < r.latencies[j]
|
||||
})
|
||||
|
||||
var totalLatency int64 = 0
|
||||
for _, latency := range r.latencies {
|
||||
totalLatency += latency
|
||||
}
|
||||
|
||||
fmt.Fprintf(w, "- Total Requests: %d\n", nrReq)
|
||||
fmt.Fprintf(w, "- Total Duration: %dms\n", elapsed.Milliseconds())
|
||||
fmt.Fprintf(w, "- Requests/sec: %f\n", float64(nrReq)/elapsed.Seconds())
|
||||
fmt.Fprintf(w, "- Avg latency: %dms\n", totalLatency/nrReq)
|
||||
fmt.Fprintf(w, "- Median latency: %dms\n", r.latencies[nrReq/2])
|
||||
fmt.Fprintf(w, "- Latency distribution:\n")
|
||||
percentiles := []float64{0.1, 0.5, 0.9, 0.95, 0.99, 0.999}
|
||||
for _, p := range percentiles {
|
||||
idx := int64(p * float64(nrReq))
|
||||
fmt.Fprintf(w, " %s%% in %dms\n", fmt.Sprintf("%.2f", p*100.0), r.latencies[idx])
|
||||
}
|
||||
|
||||
// create a simple histogram with 10 buckets spanning the range of latency
|
||||
// into equal ranges
|
||||
//
|
||||
nrBucket := 10
|
||||
buckets := make([]Bucket, nrBucket)
|
||||
latencyRange := r.latencies[len(r.latencies)-1]
|
||||
bucketRange := latencyRange / int64(nrBucket)
|
||||
|
||||
// mark the end of each bucket
|
||||
for i := 0; i < nrBucket; i++ {
|
||||
buckets[i].start = int64(i) * bucketRange
|
||||
buckets[i].end = buckets[i].start + bucketRange
|
||||
// extend the last bucked by any remaning range caused by the integer division
|
||||
if i == nrBucket-1 {
|
||||
buckets[i].end = latencyRange
|
||||
}
|
||||
}
|
||||
|
||||
// count the number of requests in each bucket
|
||||
currBucket := 0
|
||||
for i := 0; i < len(r.latencies); {
|
||||
if r.latencies[i] <= buckets[currBucket].end {
|
||||
buckets[currBucket].cnt++
|
||||
i++
|
||||
} else {
|
||||
currBucket++
|
||||
}
|
||||
}
|
||||
|
||||
// print the histogram using a tabwriter which will align the columns nicely
|
||||
fmt.Fprintf(w, "- Histogram:\n")
|
||||
const padding = 2
|
||||
tabWriter := tabwriter.NewWriter(w, 0, 0, padding, ' ', tabwriter.AlignRight|tabwriter.Debug)
|
||||
for i := 0; i < nrBucket; i++ {
|
||||
ratio := float64(buckets[i].cnt) / float64(nrReq)
|
||||
bars := strings.Repeat("#", int(ratio*100))
|
||||
fmt.Fprintf(tabWriter, " %d-%dms\t%d\t%s (%s%%)\n", buckets[i].start, buckets[i].end, buckets[i].cnt, bars, fmt.Sprintf("%.2f", ratio*100))
|
||||
}
|
||||
tabWriter.Flush() //nolint:errcheck
|
||||
|
||||
fmt.Fprintf(w, "- Status codes:\n")
|
||||
for code, cnt := range r.statusCodes {
|
||||
fmt.Fprintf(w, " [%d]: %d\n", code, cnt)
|
||||
}
|
||||
|
||||
// print the 10 most occurring errors (in case error values are not unique)
|
||||
//
|
||||
type kv struct {
|
||||
err string
|
||||
cnt int
|
||||
}
|
||||
var sortedErrors []kv
|
||||
for err, cnt := range r.errors {
|
||||
sortedErrors = append(sortedErrors, kv{err, cnt})
|
||||
}
|
||||
sort.Slice(sortedErrors, func(i, j int) bool {
|
||||
return sortedErrors[i].cnt > sortedErrors[j].cnt
|
||||
})
|
||||
fmt.Fprintf(w, "- Errors (top 10):\n")
|
||||
for i, se := range sortedErrors {
|
||||
if i > 10 {
|
||||
break
|
||||
}
|
||||
fmt.Fprintf(w, " [%s]: %d\n", se.err, se.cnt)
|
||||
}
|
||||
}
|
||||
|
||||
type Bucket struct {
|
||||
start int64
|
||||
// the end value of the bucket
|
||||
end int64
|
||||
// how many entries are in the bucket
|
||||
cnt int
|
||||
}
|
||||
|
Loading…
Reference in New Issue
Block a user