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with Rate Event</span></a></li><li class="level-3"><a class="final" 
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 class="col-md-9 col-sm-12"><div class="content-header hidden-md 
hidden-lg"><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 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 engin
 e 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> <div class="al
 ert-message info"><p>See <a href="/cli/#engine-commands">here</a> to know 
details of command-line interface for the engine server.</p></div><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>
-</pre></td></tr></tbody></table> </div> </div></div></div></div><footer><div 
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