<!DOCTYPE html><html><head><title>Deploying an Engine</title><meta charset="utf-8"/><meta content="IE=edge,chrome=1" http-equiv="X-UA-Compatible"/><meta name="viewport" content="width=device-width, initial-scale=1.0"/><meta class="swiftype" name="title" data-type="string" content="Deploying an Engine"/><link rel="canonical" href="https://docs.prediction.io/deploy/"/><link href="/images/favicon/normal-b330020a.png" rel="shortcut icon"/><link href="/images/favicon/apple-c0febcf2.png" rel="apple-touch-icon"/><link href="//fonts.googleapis.com/css?family=Open+Sans:300italic,400italic,600italic,700italic,800italic,400,300,600,700,800" rel="stylesheet"/><link href="//maxcdn.bootstrapcdn.com/font-awesome/4.2.0/css/font-awesome.min.css" rel="stylesheet"/><link href="/stylesheets/application-3598c7d7.css" rel="stylesheet" type="text/css"/><script src="//cdnjs.cloudflare.com/ajax/libs/html5shiv/3.7.2/html5shiv.min.js"></script><script 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id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Deploying an Engine</a><span class="spacer">&gt;</span></li><li><span class="last">Deploying as a Web Service</span></li></ul></div><div id="page-title"><h1>Deploying an Engine</h1></div></div><div id="table-of-content-wrapper"><h5>On this page</h5><aside id="table-of-contents"><ul> <li> <a href="#deploying-an-engine-the-first-time">Deploying an Engine the First Time</a> </li> <li> <a href="#update-model-with-new-data">Update Model with New Data</a> </li> <li> <a href="#specify-a-different-engine-port">Specify a Different Engine Port</a> </li> <li> <a href="#retrain-and-deploy-script">Retrain and Deploy Script</a> </li> </ul> </aside><hr/><a id="edit-page-link" href="https://github.com/apache/incubator-predictionio/tree/livedoc/docs/manual/source/deploy/index.html.md"><img src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div class="content-header hidden-sm hidden-xs"><div id="breadcrumbs" class="hidden-sm hidden xs"><ul><li><a href="#">Deploying an Engine</a><span class="spacer">&gt;</span></li><li><span class="last">Deploying as a Web Service</span></li></ul></div><div id="page-title"><h1>Deploying an Engine</h1></div></div><div class="content"><p>An engine must be <strong>built</strong> (i.e. <code>pio build</code>) and <strong>trained</strong> (i.e. <code>pio train</code>) before it can be deployed as a web service.</p><div class="alert-message warning"><p>The engine server is not protected by authentication, and the instructions below assume deployment in a trusted environment.</p></div><h2 id='deploying-an-engine-the-first-time' class='header-anchors'>Deploying an Engine the First Time</h2><p>After you have <a href="/start/download/">downloaded an Engine Template</a>, you can deploy it with these steps:</p> <ol> <li>Run <code>pio app new **your-app-name-here**</code> and specify the <code>appName</code> used in the template&#39;s <em>engine.json</em> file (you can set it there to your preference).</li> <li>Run <code>pio build</code> to update the engine</li> <li>Run <code>pio train</code> to train a predictive model with training data</li> <li>Run <code>pio deploy</code> to deploy the engine as a service</li> </ol> <p>A deployed engine listens to port 8000 by default. Your application can <a href="/appintegration/">send query to retrieve prediction</a> in real-time through the REST interface.</p><p><strong>Note</strong>: a new engine deployed as above will have no data to start with. Your engine may come with a <code>data/</code> directory with some sample data that you can import, not all have this. Check the quickstart instructions for your template.</p><h2 id='update-model-with-new-data' class='header-anchors'>Update Model with New Data</h2><p>You probably want to update the trained predictive model with newly collected data regularly. To do so, run the <code>pio train</code> and <code>pio deploy</code> commands again:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1
2</pre></td><td class="code"><pre><span class="gp">$ </span>pio train
<span class="gp">$ </span>pio deploy
</pre></td></tr></tbody></table> </div> <p>For example, if you want to re-train the model every day, you may add this to your <em>crontab</em>:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre>0 0 <span class="k">*</span> <span class="k">*</span> <span class="k">*</span>   <span class="nv">$PIO_HOME</span>/bin/pio train; <span class="nv">$PIO_HOME</span>/bin/pio deploy
</pre></td></tr></tbody></table> </div> <p>where <em>$PIO_HOME</em> is the installation path of PredictionIO. See <a href="#retrain-and-deploy-script">Retrain and Deploy Script</a> below for a script ready for customization.</p><h2 id='specify-a-different-engine-port' class='header-anchors'>Specify a Different Engine Port</h2><p>By default, <code>pio deploy</code> deploys an engine on <strong>port 8000</strong>.</p><p>You can specify another port with an <em>--port</em> argument. For example, to deploy on port 8123</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre>pio deploy --port 8123
</pre></td></tr></tbody></table> </div> <p>You can also specify the binding IP with <em>--ip</em>, which is set to <em>localhost</em> if not specified. For example:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre>pio deploy --port 8123 --ip 1.2.3.4
</pre></td></tr></tbody></table> </div> <h2 id='retrain-and-deploy-script' class='header-anchors'>Retrain and Deploy Script</h2><p>A retrain and deploy script is available <a href="https://github.com/apache/incubator-predictionio/tree/develop/examples/redeploy-script">in the <em>examples/redeploy-script</em> directory</a>.</p><p>To use the script, copy <em>local.sh.template</em> as <em>local.sh</em>, <em>redeploy.sh</em> as (say) <em>MyEngine_Redeploy_(production).sh</em> (Name of the script will appear as title of email) and put both files under the <em>scripts/</em> directory of your engine. Then, modify the settings inside both file, filling in details like <code>PIO_HOME</code>, <code>LOG_DIR</code>, <code>TARGET_EMAIL</code>, <code>ENGINE_JSON</code> and others. You need to do <code>pio build</code> once before using this script. This script only trains and deploys. If <code>pio train</code> or <code>pio deploy</code> fails for some reason, the running engine stays put in most cases. If engine is retrained and deployed successfully, the email sent will have <em>Normal</em> in the title so you can set filtering rules.</p><p><code>mailutils</code> is used in this script. For Ubuntu, you can do <code>sudo update-alternatives --config mailx</code> and see if <code>/usr/bin/mail.mailutils</code> is selected. If you are using a server that blocks email, you will need to use services like SendGrid.</p><p>This script does not guarantee no down time since at some point during <code>pio deploy</code> the original engine is shut down. The down time is usually not more than a few seconds though it can be more.</p><p>The last thing to do is to add this to your <em>crontab</em>:</p><div class="highlight shell"><table style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: right"><pre class="lineno">1</pre></td><td class="code"><pre>0 0 <span class="k">*</span> <span class="k">*</span> <span class="k">*</span>   /path/to/script &gt;/dev/null 2&gt;/dev/null <span class="c"># mute both stdout and stderr to supress email sent from cron</span>
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