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<h1>Async Profiler Servlet for Hadoop</h1>
<ul>
<li><a href="#Purpose">Purpose</a></li>
<li><a href="#Prerequisites">Prerequisites</a></li>
<li><a href="#Usage">Usage</a></li></ul>
<section>
<h2><a name="Purpose"></a>Purpose</h2>
<p>This document describes how to configure and use async profiler with Hadoop applications. Async profiler is a low overhead sampling profiler for Java that does not suffer from Safepoint bias problem. It features HotSpot-specific APIs to collect stack traces and to track memory allocations. The profiler works with OpenJDK, Oracle JDK and other Java runtimes based on the HotSpot JVM.</p>
<p>Hadoop profiler servlet supports Async Profiler major versions 1.x and 2.x.</p></section><section>
<h2><a name="Prerequisites"></a>Prerequisites</h2>
<p>Make sure Hadoop is installed, configured and setup correctly. For more information see:</p>
<ul>
<li><a href="./SingleCluster.html">Single Node Setup</a> for first-time users.</li>
<li><a href="./ClusterSetup.html">Cluster Setup</a> for large, distributed clusters.</li>
</ul>
<p>Go to <a class="externalLink" href="https://github.com/jvm-profiling-tools/async-profiler">https://github.com/jvm-profiling-tools/async-profiler</a>, download a release appropriate for your platform, and install on every cluster host.</p>
<p>Set <code>ASYNC_PROFILER_HOME</code> in the environment (put it in hadoop-env.sh) to the root directory of the async-profiler install location, or pass it on the Hadoop daemon&#x2019;s command line as a system property as <code>-Dasync.profiler.home=/path/to/async-profiler</code>.</p></section><section>
<h2><a name="Usage"></a>Usage</h2>
<p>Once the prerequisites have been satisfied, access to the async-profiler is available by using Namenode or ResourceManager UI.</p>
<p>Following options from async-profiler can be specified as query paramater. * <code>-e event</code> profiling event: cpu|alloc|lock|cache-misses etc. * <code>-d duration</code> run profiling for &#x2018;duration&#x2019; seconds (integer) * <code>-i interval</code> sampling interval in nanoseconds (long) * <code>-j jstackdepth</code> maximum Java stack depth (integer) * <code>-b bufsize</code> frame buffer size (long) * <code>-t</code> profile different threads separately * <code>-s</code> simple class names instead of FQN * <code>-o fmt[,fmt...]</code> output format: summary|traces|flat|collapsed|svg|tree|jfr|html * <code>--width px</code> SVG width pixels (integer) * <code>--height px</code> SVG frame height pixels (integer) * <code>--minwidth px</code> skip frames smaller than px (double) * <code>--reverse</code> generate stack-reversed FlameGraph / Call tree</p>
<p>Example: If Namenode http address is localhost:9870, and ResourceManager http address is localhost:8088, ProfileServlet running with async-profiler setup can be accessed with <a class="externalLink" href="http://localhost:9870/prof">http://localhost:9870/prof</a> and <a class="externalLink" href="http://localhost:8088/prof">http://localhost:8088/prof</a> for Namenode and ResourceManager processes respectively.</p>
<p>Diving deep into some params:</p>
<ul>
<li>To collect 10 second CPU profile of current process (returns FlameGraph svg)</li>
<li><code>curl http://localhost:9870/prof</code> (FlameGraph svg for Namenode)</li>
<li><code>curl http://localhost:8088/prof</code> (FlameGraph svg for ResourceManager)</li>
<li>To collect 10 second CPU profile of pid 12345 (returns FlameGraph svg)</li>
<li><code>curl http://localhost:9870/prof?pid=12345</code> (For instance, provide pid of Datanode here)</li>
<li>To collect 30 second CPU profile of pid 12345 (returns FlameGraph svg)</li>
<li><code>curl http://localhost:9870/prof?pid=12345&amp;duration=30</code></li>
<li>To collect 1 minute CPU profile of current process and output in tree format (html)</li>
<li><code>curl http://localhost:9870/prof?output=tree&amp;amp;duration=60</code></li>
<li>To collect 10 second heap allocation profile of current process (returns FlameGraph svg)</li>
<li><code>curl http://localhost:9870/prof?event=alloc</code></li>
<li>To collect lock contention profile of current process (returns FlameGraph svg)</li>
<li><code>curl http://localhost:9870/prof?event=lock</code></li>
</ul>
<p>The following event types are supported by async-profiler. Use the &#x2018;event&#x2019; parameter to specify. Default is &#x2018;cpu&#x2019;. Not all operating systems will support all types.</p>
<p>Perf events:</p>
<ul>
<li>cpu</li>
<li>page-faults</li>
<li>context-switches</li>
<li>cycles</li>
<li>instructions</li>
<li>cache-references</li>
<li>cache-misses</li>
<li>branches</li>
<li>branch-misses</li>
<li>bus-cycles</li>
<li>L1-dcache-load-misses</li>
<li>LLC-load-misses</li>
<li>dTLB-load-misses</li>
</ul>
<p>Java events:</p>
<ul>
<li>alloc</li>
<li>lock</li>
</ul>
<p>The following output formats are supported. Use the &#x2018;output&#x2019; parameter to specify. Default is &#x2018;flamegraph&#x2019;.</p>
<p>Output formats:</p>
<ul>
<li>summary: A dump of basic profiling statistics.</li>
<li>traces: Call traces.</li>
<li>flat: Flat profile (top N hot methods).</li>
<li>collapsed: Collapsed call traces in the format used by FlameGraph script. This is a collection of call stacks, where each line is a semicolon separated list of frames followed by a counter.</li>
<li>svg: FlameGraph in SVG format.</li>
<li>tree: Call tree in HTML format.</li>
<li>jfr: Call traces in Java Flight Recorder format.</li>
</ul>
<p>The &#x2018;duration&#x2019; parameter specifies how long to collect trace data before generating output, specified in seconds. The default is 10 seconds.</p></section>
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