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147 lines
3.4 KiB
147 lines
3.4 KiB
package main
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import (
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"flag"
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"fmt"
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"os"
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"strings"
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"text/tabwriter"
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"time"
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metrics "github.com/rcrowley/go-metrics"
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tmtypes "github.com/tendermint/tendermint/types"
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"github.com/tendermint/tools/tm-monitor/monitor"
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)
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var version = "0.1.0.pre"
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type statistics struct {
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BlockTimeSample metrics.Histogram
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TxThroughputSample metrics.Histogram
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BlockLatency metrics.Histogram
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}
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func main() {
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var duration, txsRate int
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flag.IntVar(&duration, "T", 10, "Exit after the specified amount of time in seconds")
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flag.IntVar(&txsRate, "r", 1000, "Txs per second to send in a connection")
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flag.Usage = func() {
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fmt.Println(`Tendermint blockchain benchmarking tool.
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Usage:
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tm-bench [-T 10] [-r 1000] [endpoints]
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Examples:
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tm-bench localhost:46657`)
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fmt.Println("Flags:")
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flag.PrintDefaults()
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}
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flag.Parse()
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if flag.NArg() == 0 {
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flag.Usage()
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os.Exit(1)
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}
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fmt.Printf("Running %ds test @ %s\n", duration, flag.Arg(0))
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endpoints := strings.Split(flag.Arg(0), ",")
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blockCh := make(chan tmtypes.Header, 100)
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blockLatencyCh := make(chan float64, 100)
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nodes := startNodes(endpoints, blockCh, blockLatencyCh)
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transacters := startTransacters(endpoints, txsRate)
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stats := &statistics{
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BlockTimeSample: metrics.NewHistogram(metrics.NewUniformSample(1000)),
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TxThroughputSample: metrics.NewHistogram(metrics.NewUniformSample(1000)),
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BlockLatency: metrics.NewHistogram(metrics.NewUniformSample(1000)),
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}
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lastBlockHeight := -1
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durationTimer := time.After(time.Duration(duration) * time.Second)
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ticker := time.NewTicker(1 * time.Second)
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var blocks, txs int
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for {
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select {
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case b := <-blockCh:
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if lastBlockHeight < b.Height {
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blocks++
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txs += b.NumTxs
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lastBlockHeight = b.Height
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}
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case l := <-blockLatencyCh:
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stats.BlockLatency.Update(int64(l))
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case <-ticker.C:
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stats.BlockTimeSample.Update(int64(blocks))
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stats.TxThroughputSample.Update(int64(txs))
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blocks = 0
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txs = 0
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case <-durationTimer:
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for _, t := range transacters {
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t.Stop()
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}
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printStatistics(stats)
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for _, n := range nodes {
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n.Stop()
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}
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return
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}
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}
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}
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func startNodes(endpoints []string, blockCh chan<- tmtypes.Header, blockLatencyCh chan<- float64) []*monitor.Node {
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nodes := make([]*monitor.Node, len(endpoints))
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for i, e := range endpoints {
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n := monitor.NewNode(e)
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n.SendBlocksTo(blockCh)
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n.SendBlockLatenciesTo(blockLatencyCh)
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if err := n.Start(); err != nil {
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panic(err)
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}
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nodes[i] = n
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}
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return nodes
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}
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func startTransacters(endpoints []string, txsRate int) []*transacter {
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transacters := make([]*transacter, len(endpoints))
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for i, e := range endpoints {
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t := newTransacter(e, txsRate)
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if err := t.Start(); err != nil {
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panic(err)
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}
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transacters[i] = t
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}
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return transacters
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}
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func printStatistics(stats *statistics) {
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w := tabwriter.NewWriter(os.Stdout, 0, 0, 5, ' ', 0)
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fmt.Fprintln(w, "Stats\tAvg\tStdev\tMax\t")
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fmt.Fprintln(w, fmt.Sprintf("Block latency\t%.2fms\t%.2fms\t%dms\t",
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stats.BlockLatency.Mean()/1000000.0,
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stats.BlockLatency.StdDev()/1000000.0,
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stats.BlockLatency.Max()/1000000))
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fmt.Fprintln(w, fmt.Sprintf("Blocks/sec\t%.3f\t%.3f\t%d\t",
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stats.BlockTimeSample.Mean(),
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stats.BlockTimeSample.StdDev(),
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stats.BlockTimeSample.Max()))
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fmt.Fprintln(w, fmt.Sprintf("Txs/sec\t%.0f\t%.0f\t%d\t",
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stats.TxThroughputSample.Mean(),
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stats.TxThroughputSample.StdDev(),
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stats.TxThroughputSample.Max()))
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w.Flush()
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}
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