详解Go语言中pprof性能分析与debug调试技巧

import _ "net/http/pprof"
import "net/http"

func main() {
    go func() {
        http.ListenAndServe("localhost:6060", nil)
    }()
    // 其他逻辑
}

go tool pprof http://localhost:6060/debug/pprof/profile

top            # 查看最耗 CPU 函数
list Foo       # 查看某个函数的源码热区
web            # 生成火焰图 (需安装 Graphviz)

go tool pprof -svg http://localhost:6060/debug/pprof/profile > cpu.svg

go tool pprof http://localhost:6060/debug/pprof/heap

runtime.MemProfileRate = 1 // 设置为 1 会记录所有内存分配

curl http://localhost:6060/debug/pprof/goroutine?debug=2

curl http://localhost:6060/debug/pprof/trace > trace.out
go tool trace trace.out

runtime.SetBlockProfileRate(1)

# 1. 启动服务中加入
import _ "net/http/pprof"
go http.ListenAndServe("localhost:6060", nil)

# 2. CPU 分析（默认 30 秒）
go tool pprof http://localhost:6060/debug/pprof/profile

# 3. Heap 分析
go tool pprof http://localhost:6060/debug/pprof/heap

# 4. 生成火焰图
go tool pprof -svg ... > cpu.svg

# 5. Trace
curl http://localhost:6060/debug/pprof/trace > trace.out
go tool trace trace.out