https://www.youtube.com/watch?v=uBjoTxosSys
https://github.com/campoy/go-tooling-workshop
godoc
godoc -http=:6063
在命令行中执行该命令后，打开浏览器输入 http://localhost:6063/
2017-09-08 13:20:30屏幕截图.png
2017-09-08 13:20:48屏幕截图.png
pprof
go test -bench . -cpuprofile=cpu.prof
在当前目录下会生成一个cpu.prof的文件和一个 $PKG.test 的二进制文件。
例如：我们有一个main.go文件和一个main_test.go的测试文件，在test目录下，那么生成就会生成
cpu.prof和test.test
go tool pprof test.test cpu.prof
进入如下界面
Entering interactive mode (type "help" for commands)
(pprof)
我们要查看函数main.go中函数handler的执行情况
Entering interactive mode (type "help" for commands)
(pprof) list handler
Total: 1.44s
ROUTINE ======================== _/home/*********/test.handler in /home/********/test/main.go
0 540ms (flat, cum) 37.50% of Total
. . 18:
. . 19:func handler(w http.ResponseWriter, r *http.Request) {
. . 20:
. . 21: path := r.URL.Path
. . 22: // fmt.Println(path)
. 170ms 23: match := re.FindStringSubmatch(path)
. . 24: if match != nil {
. 370ms 25: fmt.Fprintf(w, "hello %s\n", match[1])
. . 26: } else {
. . 27: fmt.Fprintf(w, "helo2")
. . 28:
. . 29: }
. . 30: return
(pprof)
火焰图
项目中首先引入包,直接让服务器生成profile
_ "net/http/pprof"
获取火焰脚本
$ cd $GOPATH/src/github.com/uber/go-torch
$ git clone https://github.com/brendangregg/FlameGraph.git
注意一定要在FlameGraph下载所在目录下执行 go-torch命令，否则会报错
ctory. You can download the script at https://github.com/brendangregg/FlameGraph. These scripts should be added to your PATH or in the directory where go-torch is executed. Alternatively, you can run go-torch with the --raw flag.
-u指定要测试的服务地址
go-torch -u http://my-service:port/
同时另起一个终端执行go-wrk命令
go-wrk -d 30 http://localhost:port
go-wrk测试样例：
ubuntu@ubuntu:~$ go-wrk -d 30 http://localhost:29993/test@golang.org
Running 30s test @ http://localhost:29993/test@golang.org
10 goroutine(s) running concurrently
1709639 requests in 29.241100615s, 180.98MB read
Requests/sec: 58466.99
Transfer/sec: 6.19MB
Avg Req Time: 171.036µs
Fastest Request: 28.856µs
Slowest Request: 40.816523ms
Number of Errors: 0
go-torch生成svg文件，可以拖到谷歌浏览器上打开
ubuntu@ubuntu:~/pkg/src/github.com/uber/go-torch$ go-torch http://localhost:29993/debug/pprof/profile
INFO[14:18:49] Run pprof command: go tool pprof -raw -seconds 30 http://localhost:29993/debug/pprof/profile
INFO[14:19:19] Writing svg to torch.svg
可以看到go-torch 其实首先执行了
go tool pprof
命令
