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package main
import (
"context"
"fmt"
"math"
"time"
e2e "github.com/tendermint/tendermint/test/e2e/pkg"
"github.com/tendermint/tendermint/types"
)
// Benchmark is a simple function for fetching, calculating and printing
// the following metrics:
// 1. Average block production time
// 2. Block interval standard deviation
// 3. Max block interval (slowest block)
// 4. Min block interval (fastest block)
//
// Metrics are based of the `benchmarkLength`, the amount of consecutive blocks
// sampled from in the testnet
func Benchmark(testnet *e2e.Testnet, benchmarkLength int64) error {
block, _, err := waitForHeight(testnet, 0)
if err != nil {
return err
}
logger.Info("Beginning benchmark period...", "height", block.Height)
// wait for the length of the benchmark period in blocks to pass. We allow 5 seconds for each block
// which should be sufficient.
waitingTime := time.Duration(benchmarkLength*5) * time.Second
endHeight, err := waitForAllNodes(testnet, block.Height+benchmarkLength, waitingTime)
if err != nil {
return err
}
logger.Info("Ending benchmark period", "height", endHeight)
// fetch a sample of blocks
blocks, err := fetchBlockChainSample(testnet, benchmarkLength)
if err != nil {
return err
}
// slice into time intervals and collate data
timeIntervals := splitIntoBlockIntervals(blocks)
testnetStats := extractTestnetStats(timeIntervals)
testnetStats.startHeight = blocks[0].Header.Height
testnetStats.endHeight = blocks[len(blocks)-1].Header.Height
// print and return
logger.Info(testnetStats.String())
return nil
}
type testnetStats struct {
startHeight int64
endHeight int64
// average time to produce a block
mean time.Duration
// standard deviation of block production
std float64
// longest time to produce a block
max time.Duration
// shortest time to produce a block
min time.Duration
}
func (t *testnetStats) String() string {
return fmt.Sprintf(`Benchmarked from height %v to %v
Mean Block Interval: %v
Standard Deviation: %f
Max Block Interval: %v
Min Block Interval: %v
`,
t.startHeight,
t.endHeight,
t.mean,
t.std,
t.max,
t.min,
)
}
// fetchBlockChainSample waits for `benchmarkLength` amount of blocks to pass, fetching
// all of the headers for these blocks from an archive node and returning it.
func fetchBlockChainSample(testnet *e2e.Testnet, benchmarkLength int64) ([]*types.BlockMeta, error) {
var blocks []*types.BlockMeta
// Find the first archive node
archiveNode := testnet.ArchiveNodes()[0]
c, err := archiveNode.Client()
if err != nil {
return nil, err
}
// find the latest height
ctx := context.Background()
s, err := c.Status(ctx)
if err != nil {
return nil, err
}
to := s.SyncInfo.LatestBlockHeight
from := to - benchmarkLength + 1
if from <= testnet.InitialHeight {
return nil, fmt.Errorf("tesnet was unable to reach required height for benchmarking (latest height %d)", to)
}
// Fetch blocks
for from < to {
// fetch the blockchain metas. Currently we can only fetch 20 at a time
resp, err := c.BlockchainInfo(ctx, from, min(from+19, to))
if err != nil {
return nil, err
}
blockMetas := resp.BlockMetas
// we receive blocks in descending order so we have to add them in reverse
for i := len(blockMetas) - 1; i >= 0; i-- {
if blockMetas[i].Header.Height != from {
return nil, fmt.Errorf("node gave us another header. Wanted %d, got %d",
from,
blockMetas[i].Header.Height,
)
}
from++
blocks = append(blocks, blockMetas[i])
}
}
return blocks, nil
}
func splitIntoBlockIntervals(blocks []*types.BlockMeta) []time.Duration {
intervals := make([]time.Duration, len(blocks)-1)
lastTime := blocks[0].Header.Time
for i, block := range blocks {
// skip the first block
if i == 0 {
continue
}
intervals[i-1] = block.Header.Time.Sub(lastTime)
lastTime = block.Header.Time
}
return intervals
}
func extractTestnetStats(intervals []time.Duration) testnetStats {
var (
sum, mean time.Duration
std float64
max = intervals[0]
min = intervals[0]
)
for _, interval := range intervals {
sum += interval
if interval > max {
max = interval
}
if interval < min {
min = interval
}
}
mean = sum / time.Duration(len(intervals))
for _, interval := range intervals {
diff := (interval - mean).Seconds()
std += math.Pow(diff, 2)
}
std = math.Sqrt(std / float64(len(intervals)))
return testnetStats{
mean: mean,
std: std,
max: max,
min: min,
}
}
func min(a, b int64) int64 {
if a > b {
return b
}
return a
}