Golang pprof 工具使用

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package main
import (
"flag"
"runtime/pprof"
"log"
"runtime"
"math/rand"
"os"
"time"
)
var cpuprofile = flag.String("cpuprofile", "", "write cpu profile `file`")
var memprofile = flag.String("memprofile", "", "write memory profile to `file`")
const (
col = 10000
row = 10000
)
func main() {
flag.Parse()
if *cpuprofile != "" {
f, err := os.Create(*cpuprofile)
if err != nil {
log.Fatal("could not create CPU profile: ", err)
}
if err := pprof.StartCPUProfile(f); err != nil {
//监控cpu
log.Fatal("could not start CPU profile: ", err)
}
defer pprof.StopCPUProfile()
}
// 主逻辑区，进行一些简单的代码运算
x := [row][col]int{}
s := rand.New(rand.NewSource(time.Now().UnixNano()))
for i := 0; i < row; i++{
for j := 0; j < col; j++ {
x[i][j] = s.Intn(100000)
}
}
for i := 0; i < row; i++{
tmp := 0
for j := 0; j < col; j++ {
tmp += x[i][j]
}
}
if *memprofile != "" {
f, err := os.Create(*memprofile)
if err != nil {
log.Fatal("could not create memory profile: ", err)
}
runtime.GC() // GC，获取最新的数据信息
if err := pprof.WriteHeapProfile(f); err != nil {
// 写入内存信息
log.Fatal("could not write memory profile: ", err)
}
f.Close()
}
}

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go build
./pprof -cpuprofile cpu.prof -memprofile mem.prof // 会产生cpu分析文件和内存分析文件