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https://github.com/seaweedfs/seaweedfs.git
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1. increase default concurrency level
2. efficient stats collection and calculation 3. accurate error count
This commit is contained in:
parent
d30052ce85
commit
24cc55b444
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@ -12,6 +12,7 @@ import (
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"os"
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"os"
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"runtime"
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"runtime"
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"runtime/pprof"
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"runtime/pprof"
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"sort"
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"strings"
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"strings"
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"sync"
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"sync"
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"time"
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"time"
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@ -39,7 +40,7 @@ func init() {
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cmdBenchmark.Run = runbenchmark // break init cycle
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cmdBenchmark.Run = runbenchmark // break init cycle
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cmdBenchmark.IsDebug = cmdBenchmark.Flag.Bool("debug", false, "verbose debug information")
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cmdBenchmark.IsDebug = cmdBenchmark.Flag.Bool("debug", false, "verbose debug information")
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b.server = cmdBenchmark.Flag.String("server", "localhost:9333", "weedfs master location")
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b.server = cmdBenchmark.Flag.String("server", "localhost:9333", "weedfs master location")
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b.concurrency = cmdBenchmark.Flag.Int("c", 7, "number of concurrent write or read processes")
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b.concurrency = cmdBenchmark.Flag.Int("c", 64, "number of concurrent write or read processes")
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b.fileSize = cmdBenchmark.Flag.Int("size", 1024, "simulated file size in bytes")
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b.fileSize = cmdBenchmark.Flag.Int("size", 1024, "simulated file size in bytes")
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b.numberOfFiles = cmdBenchmark.Flag.Int("n", 1024*1024, "number of files to write for each thread")
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b.numberOfFiles = cmdBenchmark.Flag.Int("n", 1024*1024, "number of files to write for each thread")
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b.idListFile = cmdBenchmark.Flag.String("list", os.TempDir()+"/benchmark_list.txt", "list of uploaded file ids")
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b.idListFile = cmdBenchmark.Flag.String("list", os.TempDir()+"/benchmark_list.txt", "list of uploaded file ids")
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@ -161,12 +162,15 @@ func writeFiles(idChan chan int, fileIdLineChan chan string, s *stats) {
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serverLimitChan[fp.Server] = make(chan bool, 7)
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serverLimitChan[fp.Server] = make(chan bool, 7)
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}
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}
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serverLimitChan[fp.Server] <- true
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serverLimitChan[fp.Server] <- true
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fp.Upload(0, *b.server)
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if _, err := fp.Upload(0, *b.server); err == nil {
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fileIdLineChan <- fp.Fid
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s.completed++
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s.transferred += int64(*b.fileSize)
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} else {
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s.failed++
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}
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writeStats.addSample(time.Now().Sub(start))
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writeStats.addSample(time.Now().Sub(start))
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<-serverLimitChan[fp.Server]
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<-serverLimitChan[fp.Server]
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fileIdLineChan <- fp.Fid
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s.transferred += int64(*b.fileSize)
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s.completed++
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if *cmdBenchmark.IsDebug {
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if *cmdBenchmark.IsDebug {
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fmt.Printf("writing %d file %s\n", id, fp.Fid)
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fmt.Printf("writing %d file %s\n", id, fp.Fid)
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}
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}
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@ -291,8 +295,10 @@ const (
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benchBucket = 1000000000 / benchResolution
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benchBucket = 1000000000 / benchResolution
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)
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)
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// An efficient statics collecting and rendering
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type stats struct {
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type stats struct {
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data []int
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data []int
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overflow []int
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completed int
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completed int
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failed int
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failed int
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transferred int64
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transferred int64
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@ -303,15 +309,17 @@ type stats struct {
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var percentages = []int{50, 66, 75, 80, 90, 95, 98, 99, 100}
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var percentages = []int{50, 66, 75, 80, 90, 95, 98, 99, 100}
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func newStats() *stats {
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func newStats() *stats {
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return &stats{data: make([]int, benchResolution)}
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return &stats{data: make([]int, benchResolution), overflow: make([]int, 0)}
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}
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}
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func (s *stats) addSample(d time.Duration) {
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func (s *stats) addSample(d time.Duration) {
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index := int(d / benchBucket)
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index := int(d / benchBucket)
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if 0 <= index && index < len(s.data) {
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if index < 0 {
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fmt.Printf("This request takes %3.1f seconds, skipping!\n", float64(index)/10000)
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} else if index < len(s.data) {
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s.data[int(d/benchBucket)]++
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s.data[int(d/benchBucket)]++
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} else {
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} else {
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fmt.Printf("This request takes %3.1f seconds, skipping!\n", float64(index)/10000)
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s.overflow = append(s.overflow, index)
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}
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}
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}
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}
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@ -321,7 +329,7 @@ func (s *stats) checkProgress(testName string, finishChan chan bool) {
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for {
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for {
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select {
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select {
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case <-finishChan:
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case <-finishChan:
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break
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return
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case <-ticker:
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case <-ticker:
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fmt.Printf("Completed %d of %d requests, %3.1f%%\n", s.completed, *b.numberOfFiles, float64(s.completed)*100/float64(*b.numberOfFiles))
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fmt.Printf("Completed %d of %d requests, %3.1f%%\n", s.completed, *b.numberOfFiles, float64(s.completed)*100/float64(*b.numberOfFiles))
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}
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}
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@ -351,6 +359,16 @@ func (s *stats) printStats() {
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}
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}
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}
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}
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}
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}
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n += len(s.overflow)
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for i := 0; i < len(s.overflow); i++ {
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sum += s.overflow[i]
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if min > s.overflow[i] {
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min = s.overflow[i]
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}
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if max < s.overflow[i] {
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max = s.overflow[i]
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}
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}
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avg := float64(sum) / float64(n)
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avg := float64(sum) / float64(n)
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varianceSum := 0.0
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varianceSum := 0.0
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for i := 0; i < len(s.data); i++ {
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for i := 0; i < len(s.data); i++ {
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@ -359,6 +377,10 @@ func (s *stats) printStats() {
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varianceSum += d * d * float64(s.data[i])
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varianceSum += d * d * float64(s.data[i])
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}
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}
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}
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}
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for i := 0; i < len(s.overflow); i++ {
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d := float64(s.overflow[i]) - avg
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varianceSum += d * d
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}
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std := math.Sqrt(varianceSum / float64(n))
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std := math.Sqrt(varianceSum / float64(n))
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fmt.Printf("\nConnection Times (ms)\n")
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fmt.Printf("\nConnection Times (ms)\n")
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fmt.Printf(" min avg max std\n")
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fmt.Printf(" min avg max std\n")
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@ -382,6 +404,17 @@ func (s *stats) printStats() {
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}
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}
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}
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}
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}
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}
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sort.Ints(s.overflow)
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for i := 0; i < len(s.overflow); i++ {
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currentSum++
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if percentileIndex < len(percentiles) && currentSum >= percentiles[percentileIndex] {
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fmt.Printf(" %3d%% %5.1f ms\n", percentages[percentileIndex], float32(s.overflow[i])/10.0)
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percentileIndex++
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for percentileIndex < len(percentiles) && currentSum >= percentiles[percentileIndex] {
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percentileIndex++
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}
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}
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}
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}
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}
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// a fake reader to generate content to upload
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// a fake reader to generate content to upload
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