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<title>go语言学习笔记26--go语言自带的profiling 工具pprof的使用</title>
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<h1>go语言学习笔记26--go语言自带的profiling 工具pprof的使用</h1>
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<p><em>26 January 2020</em></p>
<p><h2><a href="#go语言学习笔记26go语言自带的profiling-工具pprof的使用" id="go语言学习笔记26go语言自带的profiling-工具pprof的使用">go语言学习笔记26–go语言自带的profiling 工具pprof的使用</a></h2>
<ol>
<li>测试代码</li>
</ol>
<pre><code>package main
import _ "net/http/pprof"
import "net/http"
import "log"
import "time"
func main() {
go func() {
log.Println(http.ListenAndServe("localhost:6060", nil))
}()
run()
}
func run() {
s := make([]string, 3)
for i:= 0; i < 10000000; i++{
s = append(s, "magical pandas")
if (i % 100000) == 0 {
time.Sleep(500 * time.Millisecond)
}
}
}
</code></pre>
<ol>
<li>运行</li>
</ol>
<pre><code>go run test.go
</code></pre>
<ol>
<li> <p>在浏览器里面打开<a href="http://localhost:6060/debug/pprof/profile?seconds=30">http://localhost:6060/debug/pprof/profile?seconds=30</a><br> 会对这个程序做30秒的cpu profile, 会下载一个文件名是profile对文件</p> </li>
<li> <p>对下载下来对文件运行pprof -web profile, 可以生成一个svg的图片， 里面有程序运行时间的profile<br> （这里需要安装graphviz工具)</p> </li>
</ol>
<pre><code>brew install graphviz
</code></pre>
<ol>
<li>这个程序生成的图片如下, 感觉非常强大<br> <img src="images/golang-notes/pprof001.svg" alt="golang性能profile图片" style="width:1024px; height:1024px"></li>
</ol>
<h2><a href="#参考资料" id="参考资料">参考资料</a></h2>
<ul>
<li><a href="https://golang.org/pkg/net/http/pprof/">https://golang.org/pkg/net/http/pprof/</a></li>
<li><a href="https://jvns.ca/blog/2017/09/24/profiling-go-with-pprof/">https://jvns.ca/blog/2017/09/24/profiling-go-with-pprof/</a></li>
</ul></p>
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