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<div class="smartperf smartperf-preview" style="min-height: 99vh;">
<h1 class="mume-header fontColor">Hiperf的抓取和展示说明</h1>
<p class="fontColor">Hiperf工具是对系统性能数据进行采样记录，并将采样数据保存为文件，进行读取，展示分析。</p>
<h2 class="mume-header fontColor">Hiperf的抓取</h2>
<h3 class="mume-header fontColor" id="header-index-1">Hiperf抓取配置参数</h3>
<p class="fontColor">
<img src="../figures/perf/perfsetting.jpg" alt="GitHub Logo" />
<br />
配置项说明：
</p>
<ul class="fontColor">
<li>
<pre class="smartperf-text fontColor light">
Start Hiperf Sampling：配置项的总开关。
</pre
>
</li>
<li>
<pre class="smartperf-text fontColor light">
Process：离线模式下配置的是整个系统的。
</pre
>
</li>
<li>
<pre class="smartperf-text fontColor light">
Frequency：配置抓取的频率。
</pre
>
</li>
<li>
<pre class="smartperf-text fontColor light">
Off CPU：配置抓取进程调度切换事件。
</pre
>
</li>
<li>
<pre class="smartperf-text fontColor light">
Call Stack：配置抓取的堆栈类型。
</pre
>
</li>
<li>
<pre class="smartperf-text fontColor light">
Advance Options：更多的抓取配置项。
</pre
>
</li>
</ul>
<p class="fontColor">
再点击Record setting，在output file path输入文件名hiprofiler_data_perf.htrace，拖动滚动条设置buffer
size大小是64MB，抓取时长是50s。
<br />
<img src="../figures/perf/perfset.jpg" alt="GitHub Logo" />
<br />
点击Trace command，就会根据上面的配置生成抓取命令，点击复制按钮，会将命令行复制。
<br />
<img src="../figures/perf/perfcommand.jpg" alt="GitHub Logo" />
<br />
输入hdc shell，进入设备，执行命令。
<br />
<img src="../figures/perf/perfexcutecommand.jpg" alt="GitHub Logo" />
<br />
执行完成后，进入指定目录查看，在/data/local/tmp下就会生成trace文件。
<br />
<img src="../figures/perf/perffile.jpg" alt="GitHub Logo" />
</p>
<h3 class="mume-header fontColor" id="header-index-2">Hiperf展示说明</h3>
<p class="fontColor">
将抓取的trace文件导入smartperf界面查看。
<br />
<img src="../figures/perf/summary.jpg" alt="GitHub Logo" />
</p>
<p class="fontColor">界面布局介绍：Perf整体界面布局分为3个部分：</p>
<ul class="fontColor">
<li>
<pre class="smartperf-text fontColor light">
红色区域：泳道图。
</pre
>
</li>
<li>
<pre class="smartperf-text fontColor light">
绿色区域：详细信息(Perf Profile和Sample List)。
</pre
>
</li>
<li>
<pre class="smartperf-text fontColor light">
黄色区域：辅助信息(Call Stack)。
</pre
>
</li>
</ul>
<h3 class="mume-header fontColor" id="header-index-3">Hiperf泳道图展示</h3>
<p class="fontColor">
Hiperf泳道图展示按照CPU使用量，进程和线程展示，鼠标移动到泳道图上，悬浮框会显示CPU的使用量。
<br />
<img src="../figures/perf/chart.jpg" alt="GitHub Logo" />
<br />
按住w键放大界面，泳道图会出现P的标志，鼠标移动到P图标上，悬浮框会显示每个callstack和调用的深度如下图。
<br />
<img src="../figures/perf/callstack.jpg" alt="GitHub Logo" />
<br />
Hiperf泳道图上浅色表示无效调用栈的采样点，抓取时由于设备上的对应的so无符号信息，函数跟地址都无法获取到，固该采样点在tab页中不做显示。
<br />
<img src="../figures/perf/perf_nocallstack.jpg" alt="GitHub Logo" />
</p>
<h3 class="mume-header fontColor" id="header-index-4">Hiperf泳道图的框选功能</h3>
<p class="fontColor">
可以对CPU使用量区，进程和线程区数据进行框选，框选后在最下方的弹出层中会展示框选数据的统计表格，总共有四个tab页。
<br />
Perf Profile的Tab页如图：
<br />
<img src="../figures/perf/PerfProfile.jpg" alt="GitHub Logo" />
</p>
<ul class="fontColor">
<li>
<pre class="smartperf-text fontColor light">
Call Stack：为经过符号解析后的Callstack，并且给出动态链接库或者进程名的信息。
</pre
>
</li>
<li>
<pre class="smartperf-text fontColor light">
Local：为该调用方法自身占用的CPU时间。
</pre
>
</li>
<li>
<pre class="smartperf-text fontColor light">
Sample Count：采样次数。
</pre
>
</li>
<li>
<pre class="smartperf-text fontColor light">
Event Count：事件次数。
</pre
>
</li>
</ul>
<p class="fontColor">
Sample List的Tab页如图：
<br />
<img src="../figures/perf/Samplelist.jpg" alt="GitHub Logo" />
</p>
<ul class="fontColor">
<li>
<pre class="smartperf-text fontColor light">
Sample Time：采样的时间戳信息。
</pre
>
</li>
<li>
<pre class="smartperf-text fontColor light">
Core：当前的CPU核信息。
</pre
>
</li>
<li>
<pre class="smartperf-text fontColor light">
Process：进程名。
</pre
>
</li>
<li>
<pre class="smartperf-text fontColor light">
Thread：线程名。
</pre
>
</li>
<li>
<pre class="smartperf-text fontColor light">
State：运行状态。
</pre
>
</li>
<li>
<pre class="smartperf-text fontColor light">
Backtrace：栈顶的调用栈名称。
</pre
>
</li>
</ul>
<h3 class="mume-header fontColor" id="header-index-5">Hiperf支持多种Options展示风格</h3>
<p class="fontColor">
点击Perf Profile的Tab页底部的Options，会有5个CheckBox复选框。
<br />
<img src="../figures/perf/Options.jpg" alt="GitHub Logo">
</p>
<ul class="fontColor">
<li>
<pre class="smartperf-text fontColor light">
Invert：反向输出调用树。
</pre
>
</li>
<li>
<pre class="smartperf-text fontColor light">
Hide System so：隐藏系统库文件。
</pre
>
</li>
<li>
<pre class="smartperf-text fontColor light">
Hide Thread：隐藏线程。
</pre
>
</li>
<li>
<pre class="smartperf-text fontColor light">
Hide Thread State：隐藏线程状态。
</pre
>
</li>
<li>
<pre class="smartperf-text fontColor light">
Only Kernel：只展示内核调用栈，会使每个函数的Lib名不为[kernel.kallsyms]的从调用者中移除，只保留内核栈。
</pre
>
</li>
</ul>
<h3 class="mume-header fontColor" id="header-index-6">Hiperf支持过滤调用栈调用次数的展示风格</h3>
<p class="fontColor">
点击Perf Profile的Tab页底部的Sample Count Filter，可以填上区间值。过滤出符合该区间值调用次数的调用栈信息。
<br />
<img src="../figures/perf/samplecounter.jpg" alt="GitHub Logo" />
</p>
<h3 class="mume-header fontColor" id="header-index-7">Hiperf功能的调用栈Group展示-数据分析支持剪裁功能</h3>
<p class="fontColor"><img src="../figures/perf/datamining.jpg" alt="GitHub Logo" /></p>
<ul class="fontColor">
<li>
<p class="fontColor">
裁剪Callstack，点击Callstack上一个节点符号，再点击底部Symbol
Filter按钮，则该符号自动被裁剪掉，同时将该节点往下所有的Callstack内容裁剪掉。
</p>
</li>
<li>
<p class="fontColor">裁剪Library，点击Library上一个节点符号，再点击底部Library Filter按钮，则该符号自动被裁剪掉，同时将该节点往下所有的Callstack内容裁剪掉。</p>
</li>
<li>
<p class="fontColor">先选中要恢复的内容，再点击Reset按钮，将恢复选中的裁剪内容。</p>
</li>
</ul>
<h3 class="mume-header fontColor" id="header-index-8">Hiperf功能的调用栈Group展示支持按条件过滤</h3>
<p class="fontColor">
在Input Filter输入关键字，会显示出带有该关键字的展示信息。
<br />
<img src="../figures/perf/inputfilter.jpg" alt="GitHub Logo" />
</p>
<h3 class="mume-header fontColor" id="header-index-9">Hiperf辅助信息区展示调用栈</h3>
<p class="fontColor">
当在详细信息区选择一个符号时，将展示与该符号相关的完整的调用栈。对上展示到根节点，对下则展示CPU占用率最大的调用栈。调用栈右侧有Sliding
bar可以滚动。
<br />
如下图的Heaviest Stack Trace：
<br />
<img src="../figures/perf/heaviesttrace1.jpg" alt="GitHub Logo" />
</p>
<h3 class="mume-header fontColor" id="header-index-10">Hiperf的火焰图功能</h3>
<p class="fontColor">
点击Perf Profile左下角的柱状图的图标，会切换到火焰图页面。
<br />
<img src="../figures/perf/flame.jpg" alt="GitHub Logo" />
<br />
进入到火焰图页面，火焰图的展示跟 Perf Profile
的tab页的调用栈显示一致，鼠标放到色块上，悬浮框可以显示调用栈名称，Lib，Addr，Count，% in current Thread，% in
current Process，% in all Process。
<br />
<img src="../figures/perf/flameshow.jpg" alt="GitHub Logo" />
<p>支持导入so离线符号化，符号化函数后，对elf文件中每个函数的地址定位到具体哪个源文件，以及显示该源文件的具体行号功能。</p>
<img src="../figures/perf/perf_so.jpg" alt="GitHub Logo" />
</p>
<h3 class="mume-header fontColor" id="header-index-11">Hiperf的show event count功能</h3>
<p class="fontColor">
在Hiperf的父级泳道图上增加筛选功能，可在Cpu Usage 和各种event
type之间选择，切换选择之后即可将Hiperf下级各个泳道图数据更新，悬浮框可以根据选择的事件名显示对应的event count。
<br />
<img src="../figures/perf/showevent.jpg" alt="GitHub Logo" />
</p>
<h3 class="mume-header fontColor" id="header-index-12">
Hiperf的CPU/进程级/线程级泳道支持时序火焰图， 按照每个时间点的调用栈显示功能
</h3>
<p class="fontColor">
根据Hiperf父级泳道图所筛选的类型，来显示各个CPU或者线程的时序火焰图，用户可根据自己的需要，点击泳道图旁边的齿轮标志筛选出某个cpu
或者线程的时序火焰图数据。
<br />
<img src="../figures/perf/cpuandthreadrow.jpg" alt="GitHub Logo" />
</p>
<h3 class="mume-header fontColor" id="header-index-13">
Hiperf的调用栈分析饼图/火焰图支持按进程、线程粒度可选， 饼图可以跳转到火焰图功能
</h3>
<p class="fontColor">
Hiperf分为process、thread、library、function四层，调用栈均可在每层的表格上鼠标点击右键跳转到对应的火焰图Tab页。火焰图上方标题显示是由哪一层跳转而来，点击关闭图标火焰图重置为当前框选范围的所有数据
<br />
<img src="../figures/perf/perf_analysisjump.jpg" alt="GitHub Logo" />
<br />
如上图，右键点击hiprofiler_plugins可以跳转到下图
<br />
<img src="../figures/perf/perf_jumpframe.jpg" alt="GitHub Logo" />
<br />
</p>
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