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468 lines
13 KiB
468 lines
13 KiB
package main
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import (
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"bufio"
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"code.google.com/p/weed-fs/go/glog"
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"code.google.com/p/weed-fs/go/operation"
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"code.google.com/p/weed-fs/go/util"
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"fmt"
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"io"
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"math"
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"math/rand"
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"os"
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"runtime"
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"runtime/pprof"
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"sort"
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"strings"
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"sync"
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"time"
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)
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type BenchmarkOptions struct {
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server *string
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concurrency *int
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numberOfFiles *int
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fileSize *int
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idListFile *string
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write *bool
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read *bool
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sequentialRead *bool
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collection *string
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cpuprofile *string
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vid2server map[string]string //cache for vid locations
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}
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var (
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b BenchmarkOptions
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)
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func init() {
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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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b.server = cmdBenchmark.Flag.String("server", "localhost:9333", "weedfs master location")
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b.concurrency = cmdBenchmark.Flag.Int("c", 16, "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.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.write = cmdBenchmark.Flag.Bool("write", true, "enable write")
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b.read = cmdBenchmark.Flag.Bool("read", true, "enable read")
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b.sequentialRead = cmdBenchmark.Flag.Bool("readSequentially", false, "randomly read by ids from \"-list\" specified file")
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b.collection = cmdBenchmark.Flag.String("collection", "benchmark", "write data to this collection")
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b.cpuprofile = cmdBenchmark.Flag.String("cpuprofile", "", "write cpu profile to file")
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b.vid2server = make(map[string]string)
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}
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var cmdBenchmark = &Command{
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UsageLine: "benchmark -server=localhost:9333 -c=10 -n=100000",
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Short: "benchmark on writing millions of files and read out",
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Long: `benchmark on an empty weed file system.
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Two tests during benchmark:
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1) write lots of small files to the system
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2) read the files out
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The file content is mostly zero, but no compression is done.
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You can choose to only benchmark read or write.
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During write, the list of uploaded file ids is stored in "-list" specified file.
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You can also use your own list of file ids to run read test.
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Write speed and read speed will be collected.
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The numbers are used to get a sense of the system.
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Usually your network or the hard drive is the real bottleneck.
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Another thing to watch is whether the volumes are evenly distributed
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to each volume server. Because the 7 more benchmark volumes are randomly distributed
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to servers with free slots, it's highly possible some servers have uneven amount of
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benchmark volumes. To remedy this, you can use this to grow the benchmark volumes
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before starting the benchmark command:
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http://localhost:9333/vol/grow?collection=benchmark&count=5
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After benchmarking, you can clean up the written data by deleting the benchmark collection
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http://localhost:9333/col/delete?collection=benchmark
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`,
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}
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var (
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wait sync.WaitGroup
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writeStats *stats
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readStats *stats
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)
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func runbenchmark(cmd *Command, args []string) bool {
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fmt.Printf("This is Weed File System version %s %s %s\n", VERSION, runtime.GOOS, runtime.GOARCH)
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if *b.cpuprofile != "" {
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f, err := os.Create(*b.cpuprofile)
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if err != nil {
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glog.Fatal(err)
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}
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pprof.StartCPUProfile(f)
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defer pprof.StopCPUProfile()
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}
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if *b.write {
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bench_write()
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}
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if *b.read {
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bench_read()
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}
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return true
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}
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func bench_write() {
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fileIdLineChan := make(chan string)
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finishChan := make(chan bool)
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writeStats = newStats()
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idChan := make(chan int)
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wait.Add(*b.concurrency)
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go writeFileIds(*b.idListFile, fileIdLineChan, finishChan)
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for i := 0; i < *b.concurrency; i++ {
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go writeFiles(idChan, fileIdLineChan, writeStats)
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}
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writeStats.start = time.Now()
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go writeStats.checkProgress("Writing Benchmark", finishChan)
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for i := 0; i < *b.numberOfFiles; i++ {
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idChan <- i
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}
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close(idChan)
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wait.Wait()
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writeStats.end = time.Now()
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wait.Add(1)
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finishChan <- true
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finishChan <- true
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close(finishChan)
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wait.Wait()
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writeStats.printStats()
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}
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func bench_read() {
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fileIdLineChan := make(chan string)
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finishChan := make(chan bool)
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readStats = newStats()
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wait.Add(*b.concurrency)
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go readFileIds(*b.idListFile, fileIdLineChan)
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readStats.start = time.Now()
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go readStats.checkProgress("Randomly Reading Benchmark", finishChan)
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for i := 0; i < *b.concurrency; i++ {
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go readFiles(fileIdLineChan, readStats)
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}
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wait.Wait()
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finishChan <- true
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close(finishChan)
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readStats.end = time.Now()
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readStats.printStats()
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}
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func writeFiles(idChan chan int, fileIdLineChan chan string, s *stats) {
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serverLimitChan := make(map[string]chan bool)
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for {
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if id, ok := <-idChan; ok {
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start := time.Now()
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fp := &operation.FilePart{Reader: &FakeReader{id: uint64(id), size: int64(*b.fileSize)}, FileSize: int64(*b.fileSize)}
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if assignResult, err := operation.Assign(*b.server, 1, "", *b.collection); err == nil {
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fp.Server, fp.Fid, fp.Collection = assignResult.PublicUrl, assignResult.Fid, *b.collection
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if _, ok := serverLimitChan[fp.Server]; !ok {
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serverLimitChan[fp.Server] = make(chan bool, 7)
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}
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serverLimitChan[fp.Server] <- true
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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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<-serverLimitChan[fp.Server]
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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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}
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} else {
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s.failed++
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println("writing file error:", err.Error())
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}
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} else {
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break
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}
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}
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wait.Done()
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}
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func readFiles(fileIdLineChan chan string, s *stats) {
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serverLimitChan := make(map[string]chan bool)
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masterLimitChan := make(chan bool, 7)
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for {
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if fid, ok := <-fileIdLineChan; ok {
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if len(fid) == 0 {
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continue
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}
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if fid[0] == '#' {
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continue
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}
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if *cmdBenchmark.IsDebug {
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fmt.Printf("reading file %s\n", fid)
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}
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parts := strings.SplitN(fid, ",", 2)
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vid := parts[0]
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start := time.Now()
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if server, ok := b.vid2server[vid]; !ok {
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masterLimitChan <- true
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if ret, err := operation.Lookup(*b.server, vid); err == nil {
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if len(ret.Locations) > 0 {
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server = ret.Locations[0].PublicUrl
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b.vid2server[vid] = server
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}
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}
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<-masterLimitChan
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}
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if server, ok := b.vid2server[vid]; ok {
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if _, ok := serverLimitChan[server]; !ok {
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serverLimitChan[server] = make(chan bool, 7)
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}
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serverLimitChan[server] <- true
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url := "http://" + server + "/" + fid
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if bytesRead, err := util.Get(url); err == nil {
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s.completed++
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s.transferred += int64(len(bytesRead))
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readStats.addSample(time.Now().Sub(start))
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} else {
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s.failed++
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println("!!!! Failed to read from ", url, " !!!!!")
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}
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<-serverLimitChan[server]
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} else {
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s.failed++
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println("!!!! volume id ", vid, " location not found!!!!!")
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}
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} else {
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break
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}
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}
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wait.Done()
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}
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func writeFileIds(fileName string, fileIdLineChan chan string, finishChan chan bool) {
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file, err := os.OpenFile(fileName, os.O_WRONLY|os.O_CREATE|os.O_TRUNC, 0644)
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if err != nil {
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glog.Fatalf("File to create file %s: %s\n", fileName, err)
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}
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defer file.Close()
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for {
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select {
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case <-finishChan:
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wait.Done()
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return
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case line := <-fileIdLineChan:
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file.Write([]byte(line))
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file.Write([]byte("\n"))
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}
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}
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}
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func readFileIds(fileName string, fileIdLineChan chan string) {
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file, err := os.Open(fileName) // For read access.
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if err != nil {
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glog.Fatalf("File to read file %s: %s\n", fileName, err)
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}
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defer file.Close()
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r := bufio.NewReader(file)
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if *b.sequentialRead {
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for {
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if line, err := Readln(r); err == nil {
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fileIdLineChan <- string(line)
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} else {
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break
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}
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}
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} else {
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lines := make([]string, 0, *b.numberOfFiles)
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for {
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if line, err := Readln(r); err == nil {
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lines = append(lines, string(line))
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} else {
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break
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}
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}
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for i := 0; i < *b.numberOfFiles; i++ {
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fileIdLineChan <- lines[rand.Intn(len(lines))]
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}
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}
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close(fileIdLineChan)
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}
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const (
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benchResolution = 10000 //0.1 microsecond
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benchBucket = 1000000000 / benchResolution
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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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data []int
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overflow []int
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completed int
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failed int
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transferred int64
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start time.Time
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end time.Time
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}
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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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return &stats{data: make([]int, benchResolution), overflow: make([]int, 0)}
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}
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func (s *stats) addSample(d time.Duration) {
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index := int(d / benchBucket)
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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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} else {
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s.overflow = append(s.overflow, index)
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}
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}
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func (s *stats) checkProgress(testName string, finishChan chan bool) {
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fmt.Printf("\n------------ %s ----------\n", testName)
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ticker := time.Tick(time.Second)
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lastCompleted, lastTransferred, lastTime := 0, int64(0), time.Now()
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for {
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select {
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case <-finishChan:
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return
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case t := <-ticker:
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completed, transferred, taken := s.completed-lastCompleted, s.transferred-lastTransferred, t.Sub(lastTime)
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fmt.Printf("Completed %d of %d requests, %3.1f%% %3.1f/s %3.1fMB/s\n",
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s.completed, *b.numberOfFiles, float64(s.completed)*100/float64(*b.numberOfFiles),
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float64(completed)*float64(int64(time.Second))/float64(int64(taken)),
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float64(transferred)*float64(int64(time.Second))/float64(int64(taken))/float64(1024*1024),
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)
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lastCompleted, lastTransferred, lastTime = s.completed, s.transferred, t
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}
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}
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}
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func (s *stats) printStats() {
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timeTaken := float64(int64(s.end.Sub(s.start))) / 1000000000
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fmt.Printf("\nConcurrency Level: %d\n", *b.concurrency)
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fmt.Printf("Time taken for tests: %.3f seconds\n", timeTaken)
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fmt.Printf("Complete requests: %d\n", s.completed)
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fmt.Printf("Failed requests: %d\n", s.failed)
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fmt.Printf("Total transferred: %d bytes\n", s.transferred)
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fmt.Printf("Requests per second: %.2f [#/sec]\n", float64(s.completed)/timeTaken)
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fmt.Printf("Transfer rate: %.2f [Kbytes/sec]\n", float64(s.transferred)/1024/timeTaken)
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n, sum := 0, 0
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min, max := 10000000, 0
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for i := 0; i < len(s.data); i++ {
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n += s.data[i]
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sum += s.data[i] * i
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if s.data[i] > 0 {
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if min > i {
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min = i
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}
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if max < i {
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max = i
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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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varianceSum := 0.0
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for i := 0; i < len(s.data); i++ {
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if s.data[i] > 0 {
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d := float64(i) - avg
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varianceSum += d * d * float64(s.data[i])
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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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fmt.Printf("\nConnection Times (ms)\n")
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fmt.Printf(" min avg max std\n")
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fmt.Printf("Total: %2.1f %3.1f %3.1f %3.1f\n", float32(min)/10, float32(avg)/10, float32(max)/10, std/10)
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//printing percentiles
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fmt.Printf("\nPercentage of the requests served within a certain time (ms)\n")
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percentiles := make([]int, len(percentages))
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for i := 0; i < len(percentages); i++ {
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percentiles[i] = n * percentages[i] / 100
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}
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percentiles[len(percentiles)-1] = n
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percentileIndex := 0
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currentSum := 0
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for i := 0; i < len(s.data); i++ {
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currentSum += s.data[i]
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if s.data[i] > 0 && percentileIndex < len(percentiles) && currentSum >= percentiles[percentileIndex] {
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fmt.Printf(" %3d%% %5.1f ms\n", percentages[percentileIndex], float32(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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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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// a fake reader to generate content to upload
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type FakeReader struct {
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id uint64 // an id number
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size int64 // max bytes
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}
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func (l *FakeReader) Read(p []byte) (n int, err error) {
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if l.size <= 0 {
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return 0, io.EOF
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}
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if int64(len(p)) > l.size {
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n = int(l.size)
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} else {
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n = len(p)
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}
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for i := 0; i < n-8; i += 8 {
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for s := uint(0); s < 8; s++ {
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p[i] = byte(l.id >> (s * 8))
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}
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}
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l.size -= int64(n)
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return
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}
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func Readln(r *bufio.Reader) ([]byte, error) {
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var (
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isPrefix bool = true
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err error = nil
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line, ln []byte
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)
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for isPrefix && err == nil {
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line, isPrefix, err = r.ReadLine()
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ln = append(ln, line...)
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}
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return ln, err
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}
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