About golang cpu performance analysis

The following column golang tutorial will introduce golang cpu performance analysis to you. I hope it will be helpful to friends in need!

1. Analyze the running time of the program

(1) time command (under Linux system)

time go run a.go

real: Start from the program To the end, the actual time spent

user: the time the program spent in the user attitude

sys: the time the program spent in the kernel

General situation Under, real>=user sys

(2) /usr/bin/time command (under Linux system)

/usr/bin/time -v go run a.go

Under this command, you can see the cpu occupancy, memory usage, and process Switching situation, file system io, socket situation

2. CPU performance analysis under golang

(1) Introduce _ "net/http/pprof" into the program and enable pprof monitoring

 import _

http.ListenAndServe("0.0.0.0:10000", nil)

程序结束

Check the CPU information and status through the browser

http://127.0.0.1:10000/debug/pprof

Note, wait for the program to run for a certain period of time, and then click to generate the profile file (at least 30s)

(2) Use pprof

go tool pprof [binary] [profile] //binary二进制文件 profile 要分析的文件

top //查看当前profile文件的cpu使用率

flat The execution time of the function’s own code

flat% The execution time of the function’s own code occupies the percentage of CPU time

cum represents the execution time of all functions called by the function's own code

cum% represents the execution time of all functions called by the function's own code ⓓ, the total CPU usage percentage

sum% The flat% of each row and the sum of the flat% of all the above rows

(3) go tool pprof profile file

Start the program to be debugged and execute go tool pprof http://localhost:10000/debug/pprof/profile?seconds=60

(4) Visual structure diagram

先在终端运行 go tool pprof [binary] [profile] ，然后输入web,浏览器会弹出一个可视化的图片。

For more related technical articles, please visit the go language tutorial column!

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