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Algorithms</span></a></li></ul></li><li class="level-1"><a class="expandible" 
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class="final" href="/evaluation/"><span>Overview</span></a></li><li 
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Explained</span></a></li><li class="level-3"><a class="final" 
href="/templates/recommendation/how-to/"><span>How-To</span></a></li><li 
class="level-3"><a class="final" 
href="/templates/recommendation/reading-custom-events/"><span>Read Custom 
Events</span></a></li><li class="level-3"><a class="final" 
href="/templates/recommendation/customize-data-prep/"><span>Customize Data 
Preparator</span></a></li><li class="level-3"><a class="final" 
href="/templates/recommendation/customize-serving/"><span>Customize 
Serving</span></a></li><li class="level-3"><a class="final" 
href="/templates/recommendation/training-with-implicit-preference/"><span>Train 
with Implicit Preference</span></a></li><li class="level-3"><a class="final" 
href="/templates/recommendation/blacklist-items/"><span>Filter Recommended 
Items by Blacklist in Query
 </span></a></li><li class="level-3"><a class="final" 
href="/templates/recommendation/batch-evaluator/"><span>Batch Persistable 
Evaluator</span></a></li></ul></li><li class="level-2"><a class="expandible" 
href="#"><span>E-Commerce Recommendation</span></a><ul><li class="level-3"><a 
class="final" href="/templates/ecommercerecommendation/quickstart/"><span>Quick 
Start</span></a></li><li class="level-3"><a class="final" 
href="/templates/ecommercerecommendation/dase/"><span>DASE</span></a></li><li 
class="level-3"><a class="final" 
href="/templates/ecommercerecommendation/how-to/"><span>How-To</span></a></li><li
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with Rate Event</span></a></li><li class="level-3"><a class="final" 
href="/templates/ecommercerecommendation/adjust-score/"><span>Adjust 
Score</span></a></li></ul></li><li class="level-2"><a class="expandible" 
href="#"><span>Similar Product</span></a><ul><li class="level-3"
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 >href="/templates/similarproduct/dase/"><span>DASE</span></a></li><li 
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 >href="/templates/similarproduct/how-to/"><span>How-To</span></a></li><li 
 >class="level-3"><a class="final" 
 >href="/templates/similarproduct/multi-events-multi-algos/"><span>Multiple 
 >Events and Multiple Algorithms</span></a></li><li class="level-3"><a 
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 >Properties</span></a></li><li class="level-3"><a class="final" 
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 >for Users</span></a></li><li class="level-3"><a class="final" 
 >href="/templates/similarproduct/recommended-user/"><span>Recommend 
 >Users</span></a></
 li></ul></li><li class="level-2"><a class="expandible" 
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Start</span></a></li><li class="level-3"><a class="final" 
href="/templates/classification/dase/"><span>DASE</span></a></li><li 
class="level-3"><a class="final" 
href="/templates/classification/how-to/"><span>How-To</span></a></li><li 
class="level-3"><a class="final" 
href="/templates/classification/add-algorithm/"><span>Use Alternative 
Algorithm</span></a></li><li class="level-3"><a class="final" 
href="/templates/classification/reading-custom-properties/"><span>Read Custom 
Properties</span></a></li></ul></li></ul></li><li class="level-1"><a 
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class="level-2"><a class="final" 
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 r Engine as a Template</span></a></li></ul></li><li class="level-1"><a 
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href="/resources/upgrade/"><span>Upgrade Instructions</span></a></li><li 
class="level-2"><a class="final" 
href="/resources/glossary/"><span>Glossary</span></a></li></ul></li></ul></nav></div><div
 class="col-md-9 col-sm-12"><di
 v class="content-header hidden-md hidden-lg"><div 
id="page-title"><h1>Deploying with AWS CloudFormation</h1></div></div><div 
id="table-of-content-wrapper"><h5>On this page</h5><aside 
id="table-of-contents"><ul> <li> <a href="#overview">Overview</a> </li> <li> <a 
href="#step-by-step">Step-by-Step</a> </li> <li> <a 
href="#using-the-cluster">Using the Cluster</a> </li> <li> <a 
href="#scaling-the-cluster">Scaling the Cluster</a> </li> <li> <a 
href="#support-and-pricing">Support and Pricing</a> </li> </ul> </aside><hr/><a 
id="edit-page-link" 
href="https://github.com/apache/incubator-predictionio/tree/livedoc/docs/manual/source/system/deploy-cloudformation.html.md.erb";><img
 src="/images/icons/edit-pencil-d6c1bb3d.png"/>Edit this page</a></div><div 
class="content-header hidden-sm hidden-xs"><div id="page-title"><h1>Deploying 
with AWS CloudFormation</h1></div></div><div class="content"> <h2 id='overview' 
class='header-anchors'>Overview</h2><p>You can scale PredictionIO on AWS with 
<a href="
 http://aws.amazon.com/cloudformation/";>CloudFormation</a>. Here we have 
defined a PredictionIO CloudFormation stack that you can deploy a functional, 
fully distributed PredictionIO cluster in minutes.</p><h3 id='instances' 
class='header-anchors'>Instances</h3><p>The PredictionIO CloudFormation stack 
creates two types of instance: <strong>compute and storage</strong>. By 
default, the stack will launch <strong>1 compute Instance and 3 Storage 
instances</strong>.</p><p>The compute instance <em>(ComputeInstance)</em> acts 
as Spark master. You can launch extra compute instances 
<em>(ComputeInstanceExtra)</em> by updating the stack. The storage instances 
<em>(StorageInstance)</em> form the core of the HDFS, ZooKeeper quorum, and 
HBase storage. Extra storage instances <em>(StorageInstanceExtra)</em> can be 
added to the cluster by updating the stack. They cannot be removed once they 
are spinned up.</p><p>PredictionIO Event Server will be launched on all storage 
instances.</p><h3 id='network
 ing' class='header-anchors'>Networking</h3><p>The stack will automatically 
create a VPC and a subnet with an Internet gateway. All cluster instances will 
be launched inside this subnet using a single security group that enables all 
TCP communications among all instances within the same group. All compute 
instances (including those that are launched after stack creation) will receive 
public IPs. All core storage instances will receive public Elastic IPs.</p><h2 
id='step-by-step' class='header-anchors'>Step-by-Step</h2><p>First, you need to 
have an active Amazon Web Services account with permissions to use the 
following services:</p> <ul> <li>Auto Scaling</li> <li>CloudFormation</li> 
<li>EC2</li> <li>VPC</li> </ul> <h3 id='subscribe-to-predictionio-cluster' 
class='header-anchors'>Subscribe to PredictionIO Cluster</h3><p>Before you can 
start using PredictionIO CloudFormation template, you will need to subscribe to 
PredictionIO Cluster AMI through AWS Marketplace. To subscribe, go to th
 is <a href="https://aws.amazon.com/marketplace/pp/B00S74CY0A";>link</a>. Click 
the yellow &quot;Continue&quot; button on the next screen.</p><p><img alt="AWS 
Marketplace Subscription Page" 
src="/images/cloudformation/awsmp-1-609eb919.png"/></p><p>In the next screen, 
click the &quot;Manual Launch&quot; tab, then select your preferred pricing 
model. Pick your desired version, then click &quot;Accept 
Terms&quot;.</p><p><img alt="AWS Marketplace Term Page" 
src="/images/cloudformation/awsmp-2-7dd613ba.png"/></p><p>Once your 
subscription is in place, you may proceed to the next section.</p><h3 
id='start-using-cloudformation' class='header-anchors'>Start Using 
CloudFormation</h3><p>From your main AWS console, locate CloudFormation and 
click on it.</p><p><img alt="CloudFormation on AWS Console" 
src="/images/cloudformation/cf-01-13c7f924.png"/></p><p>This will bring you to 
the CloudFormation console below.</p><p><img alt="CloudFormation Console" 
src="/images/cloudformation/cf-02-61cd8e67.png"
 /></p><h3 id='select-the-predictionio-cloudformation-stack-template' 
class='header-anchors'>Select the PredictionIO CloudFormation Stack 
Template</h3><p>From the CloudFormation console, click on the <strong>Create 
New Stack</strong> blue button as shown above. This will bring up the 
<strong>Select Template</strong> screen. Name your stack as you like. Within 
the <em>Template</em> section, choose <strong>Specify an Amazon S3 template 
URL</strong>, and put <a 
href="https://s3.amazonaws.com/cloudformation.prediction.io/0.12.0-incubating/pio.json";>https://s3.amazonaws.com/cloudformation.prediction.io/0.12.0-incubating/pio.json</a>
 as the value.</p><p><img alt="CloudFormation Stack Template Selection" 
src="/images/cloudformation/cf-03-d017fa2d.png"/></p><p>Click 
<strong>Next</strong> when you are done.</p><h3 id='specify-stack-parameters' 
class='header-anchors'>Specify Stack Parameters</h3><p>The next screen shows 
the stack parameters. You must enter your AWS SSH key pair. For the other 
 parameters, you can change them to meet your needs or simply use the default 
values.</p><p><img alt="Stack Parameters" 
src="/images/cloudformation/cf-04-6b545f50.png"/></p> <table><thead> <tr> 
<th>Parameter</th> <th>Description</th> </tr> </thead><tbody> <tr> 
<td>AWS-KeyPair</td> <td>The AWS SSH key pair name that can be used to access 
all instances in the cluster.</td> </tr> <tr> <td>AvailabilityZone</td> 
<td>Specify the availability zone that the PredictionIO cluster will be 
launched in. All instances of the cluster will be launched into the same zone 
for optimal network performance between one another.</td> </tr> <tr> 
<td>ComputeInstanceType</td> <td>The EC2 instance type of all compute 
instances. Memory-optimized EC2 instances are recommended.</td> </tr> <tr> 
<td>ComputeInstanceExtra</td> <td>Number of extra compute instances besides the 
core compute instance. This can be increased and decreased.</td> </tr> <tr> 
<td>StorageInstanceExtra</td> <td>Number of extra storage instances
  besides core storage instances. <strong>Never decrease this value or you will 
risk data corruption.</strong></td> </tr> <tr> 
<td>StorageInstanceExtraSize</td> <td>Size in GB of each extra storage 
instance. This can be changed when you add an extra storage instance.</td> 
</tr> <tr> <td>StorageInstanceExtraVolumeType</td> <td>The EBS volume type of 
each extra storage instance. Valid values are <em>standard</em> and 
<em>gp2</em>. This can be changed when you add an extra storage instance.</td> 
</tr> <tr> <td>StorageInstanceType</td> <td>The EC2 instance type of all 
storage instances. General purpose EC2 instances are recommended.</td> </tr> 
<tr> <td>StorageInstanceSize</td> <td>Size in GB of each core storage instance. 
This cannot be changed once the cluster is launched.</td> </tr> <tr> 
<td>StorageInstanceVolumeType</td> <td>The EBS volume type of each core storage 
instance. Valid values are <em>standard</em> and <em>gp2</em>. This cannot be 
changed once the cluster is launched.</td> 
 </tr> </tbody></table> <p>Click <strong>Next</strong> when you are done. You 
will arrive at the <strong>Options</strong> screen. You can skip this step if 
you do not have other options to specify.</p><p>At the <strong>Review</strong> 
screen, click <strong>Create</strong> to finish.</p><h2 id='using-the-cluster' 
class='header-anchors'>Using the Cluster</h2><p>You should see the following 
when the cluster is being created after the previous step.</p><p><img 
alt="Stack Creation" 
src="/images/cloudformation/cf-05-92ee63c2.png"/></p><p>Once the stack creation 
has finished, you can click on <strong>Events</strong> and select 
<strong>Outputs</strong> to arrive to the following screen.</p><p><img 
alt="Completed Stack" 
src="/images/cloudformation/cf-06-b36528fa.png"/></p><p>Take note of 
<strong>PIOComputeMasterPublicIp</strong> and 
<strong>PIOStorageMasterPublicIp</strong>. We will now access the cluster and 
make sure everything is in place.</p><div class="alert-message 
warning"><p>Sometimes
  the stack is created successfully but not all cluster services would launch 
due to potential network glitches or system issues within a cluster instance. 
In this case, simply delete and create the stack again.</p></div><h3 
id='verify-compute-instances' class='header-anchors'>Verify Compute 
Instances</h3><p>SSH to the master compute instance using the 
<strong>PIOComputeMasterPublicIp</strong>. In this example, let us assume the 
IP address be 54.175.145.84, and your private key file be 
<strong>yourkey.pem</strong>.</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><span class="gp">$ 
</span>ssh -i yourkey.pem -A -L 8080:localhost:8080 [email protected]
+</pre></td></tr></tbody></table> </div> <p>Once you are in, point your web 
browser to <a href="http://localhost:8080";>http://localhost:8080</a>. You 
should see something similar to the following.</p><p><img alt="Example Spark 
UI" src="/images/cloudformation/spark-019c2cf1.png"/></p><div 
class="alert-message note"><p>In the example above 
<strong>NumberOfComputeWorkers</strong> is <strong>2</strong>. This is because 
the example has 1 compute instance and 1 extra compute instance. If you do not 
have any extra compute instances, you will see only 1 worker on the above 
page.</p></div><h3 id='verify-storage-instances' class='header-anchors'>Verify 
Storage Instances</h3><p>SSH to the storage instance using the 
<strong>PIOStorageMasterPublicIp</strong>. In this example, let us assume the 
IP address be 54.175.1.36, and your private key file be 
<strong>yourkey.pem</strong>.</p><div class="highlight shell"><table 
style="border-spacing: 0"><tbody><tr><td class="gutter gl" style="text-align: 
rig
 ht"><pre class="lineno">1</pre></td><td class="code"><pre><span class="gp">$ 
</span>ssh -i yourkey.pem -A -L 50070:localhost:50070 -L 16010:localhost:16010 
-L 16030:localhost:16030 [email protected]
+</pre></td></tr></tbody></table> </div> <p>Once you are in, point your web 
browser to <a href="http://localhost:50070";>http://localhost:50070</a> and 
click on <strong>Datainstances</strong> at the top menu. You should see the 
following page.</p><p><img alt="Example HDFS UI" 
src="/images/cloudformation/hdfs-51f0231f.png"/></p><div class="alert-message 
warning"><p>All <strong>3 storage instances</strong> must be up for proper 
operation.</p></div><p>If all <strong>3 storage instances</strong> are working 
properly, you can then verify HBase by pointing your web browser to <a 
href="http://localhost:16010";>http://localhost:16010</a>. You should see 
something similar to the following.</p><p><img alt="Example HBase UI" 
src="/images/cloudformation/hbase-32538c47.png"/></p><p>If you do not specify 
any extra storage instances, you should see 2 region servers. There should also 
be 1 backup master.</p><h3 id='running-quick-start' 
class='header-anchors'>Running Quick Start</h3><p>You can now star
 t with the fully-distributed PredictionIO cluster. Let&#39;s start with the <a 
href="/templates/recommendation/quickstart/">recommendation quick start</a> 
with a few twists.</p> <ol> <li><p>Skip the installation steps and run 
<code>pio status</code>. You should see everything functional.</p></li> 
<li><p>Run through the section <strong>Create a Sample App</strong> as 
described. The installation directory of PredictionIO is 
<code>/opt/PredictionIO</code>.</p></li> <li><p>Run through the section 
<strong>Collecting Data</strong> as described, except that you will be 
connecting to the Event Server at the master core storage instance. Assuming 
the private IP of the master core storage instance is <code>10.0.0.123</code>, 
add <code>--url http://10.0.0.123:7070</code> to the 
<code>import_eventserver.py</code> command.</p></li> <li><p>Copy HBase 
configuration to the engine template directory. The full path of the 
configuration file is <code>/opt/hbase-0.98.9-hadoop2/conf/hbase-site.xml</code
 >. (This step will not be required in future releases.)</p></li> <li><p>Run 
 >through the section <strong>Deploy the Engine as a Service</strong> up to the 
 >subsection <strong>Training</strong>. Assuming the private DNS name of the 
 >master compute instance is <code>ip-10-0-0-234.ec2.internal</code>, add 
 ><code>-- --master spark://ip-10-0-0-234.ec2.internal:7077</code> after the 
 ><code>pio train</code> command. This will send the training to the compute 
 >cluster instead of the local machine. The Spark master URL must match exactly 
 >the one shown on its web UI. Repeat the same steps for subsection 
 ><strong>Deploying</strong>, which will create an Engine Server backed by the 
 >compute cluster.</p></li> </ol> <h2 id='scaling-the-cluster' 
 >class='header-anchors'>Scaling the Cluster</h2><p>As your data size and/or 
 >audience grow, you can scale your cluster to handle more workload or decrease 
 >turnaround time. In this section, we will provide some general guidelines 
 >about when and how to scale your clus
 ter with CloudFormation.</p><h3 id='scaling-compute-instances' 
class='header-anchors'>Scaling Compute Instances</h3><p>You can increase 
compute instances to reduce training time <em>($pio train)</em> and the time to 
query an engine server. You can also check the [Spark Master Web UI] to see if 
you need additional compute power.</p><p>Notice that for compute instances, you 
can increase or decrease the number of extra compute instances 
<em>(ComputeInstanceExtra)</em> as much as you like. The extra compute 
instances will join the master and become slave compute instances as Spark 
workers.</p><p>Let us begin by adding 2 extra compute instances. At the 
CloudFormation console, right click on the cluster stack and click on 
<strong>Update Stack</strong>.</p><p><img alt="Updating Stack to Add Extra 
Compute Instances" 
src="/images/cloudformation/compute-1-c572ea84.png"/></p><p>At the 
<strong>Select Template</strong> screen, make sure <strong>Use existing 
template</strong> is picked, then clic
 k <strong>Next</strong>.</p><p>At the <strong>Specify Parameters</strong> 
screen, increase the value of <strong>ComputeInstanceExtra</strong> to 
<strong>2</strong>, then click <strong>Next</strong>.</p><p><img alt="Adding 2 
Extra Compute Instances" 
src="/images/cloudformation/compute-2-f7da8e72.png"/></p><p>At the 
<strong>Options</strong> screen, leave everything unchanged, and click 
<strong>Next</strong>.</p><p>At the <strong>Review</strong> screen, make sure 
<strong>ComputeInstanceExtra</strong> is now updated to <strong>2</strong>. 
Finish by clicking <strong>Update</strong>.</p><p><img alt="Review Changes of 
Adding Extra Compute Instances" 
src="/images/cloudformation/compute-3-ee5fc6a8.png"/></p><p>You will be brought 
back to the CloudFormation console. You should see the stack status changed to 
<strong>UPDATE_IN_PROGRESS</strong>.</p><p><img alt="Adding Extra Compute 
Instances In Progress" 
src="/images/cloudformation/compute-4-67fe0caa.png"/></p><p>Once the status 
become <strong
 >UPDATE_COMPLETED</strong>, you will have 2 extra compute instances. Notice 
 >that during the update, your cluster is still functional and any existing 
 >work will not be affected. If you are downscaling, existing work might be 
 >affected during the update process.</p><h3 id='scaling-storage-instances' 
 >class='header-anchors'>Scaling Storage Instances</h3><p>You can scale your 
 >storage instances when you are about to run out of space. You can check your 
 >storage usage at the [Hadoop NameNode web UI].</p><div class="alert-message 
 >warning"><p>For storage instances, you can only increase the number of extra 
 >storage instances <em>(StorageInstanceExtra)</em> within the bounds of AWS 
 >EC2 limits. Decreasing the instances will risk data 
 >corruption.</p></div><p>Let us begin by adding 2 extra storage instances. At 
 >the CloudFormation console, right click on the cluster stack and click on 
 ><strong>Update Stack</strong>.</p><p><img alt="Updating Stack to Add Extra 
 >Storage Instances" src="/images/cloudform
 ation/compute-1-c572ea84.png"/></p><p>At the <strong>Select Template</strong> 
screen, make sure <strong>Use existing template</strong> is picked, then click 
<strong>Next</strong>.</p><p>At the <strong>Specify Parameters</strong> screen, 
increase the value of <strong>StorageInstanceExtra</strong> to 
<strong>2</strong>, and set the value of 
<strong>StorageInstanceExtraSize</strong> to <strong>100</strong>, then click 
<strong>Next</strong>. Notice that whenever you add an extra storage instance, 
you can change its size to a new value. The new size will not affect existing 
storage instances and your data will be safe.</p><p><img alt="Adding 2 Extra 
Storage Instances" 
src="/images/cloudformation/storage-1-ca3ae3a6.png"/></p><p>At the 
<strong>Options</strong> screen, leave everything unchanged, and click 
<strong>Next</strong>.</p><p>At the <strong>Review</strong> screen, make sure 
<strong>StorageInstanceExtra</strong> is now updated to <strong>2</strong>, and 
<strong>StorageInstanceExtraS
 ize</strong> is updated to <strong>100</strong>. Finish by clicking 
<strong>Update</strong>.</p><p><img alt="Review Changes of Adding Extra Storage 
Instances" src="/images/cloudformation/storage-2-9395c9f2.png"/></p><p>You will 
be brought back to the CloudFormation console. You should see the stack status 
changed to <strong>UPDATE_IN_PROGRESS</strong>.</p><p><img alt="Adding Extra 
Compute Instances In Progress" 
src="/images/cloudformation/compute-4-67fe0caa.png"/></p><p>Once the status 
become <strong>UPDATE_COMPLETED</strong>, you will have 2 extra storage 
instances. Notice that during the up-scaling update, your cluster is still 
functional and existing work will not be affected. They may be affected during 
downscale.</p><h2 id='support-and-pricing' class='header-anchors'>Support and 
Pricing</h2><p>PredictionIO Cluster comes with Enterprise Support. For pricing 
and support details, please contact <a 
href="mailto:[email protected]";>[email protected]</a>.</p></div></div></div>
 </div><footer><div class="container"><div class="seperator"></div><div 
class="row"><div class="col-md-6 footer-link-column"><div 
class="footer-link-column-row"><h4>Community</h4><ul><li><a 
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Incubator" src="/images/logos/apache_incubator-6954bd16.png"/></a><span>Apache 
PredictionIO is an effort undergoing incubation at The Apache Software 
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all newly accepted projects until a further review indicates that the 
infrastructure, communications, and decision making process have stabilized in 
a manner consistent with other successful ASF projects. While incubation status 
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it does indicate that the project has yet to be fully endorsed by the ASF.</
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+<!DOCTYPE html><html><head><title>System Architecture and 
Dependencies</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="System Architecture and 
Dependencies"/><link rel="canonical" 
href="https://predictionio.incubator.apache.org/system/"/><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"
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rel="stylesheet"/><link href="/stylesheets/application-3a3867f7.css" 
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src="//cdnjs.cloudflare.com/ajax/libs/html5shiv/3.7.2/html5shiv.min.js"></script><script
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true });}catch(e){}</script></head><body><div id="global"><header><div 
class="container" id="header-wrapper"><div class="row"><div 
class="col-sm-12"><div id="logo-wrapper"><span id="drawer-toggle"></span><a 
href="#"></a><a href="http://predictionio.incubator.apache.org/";><img 
alt="PredictionIO" id="logo" 
src="/images/logos/logo-ee2b9bb3.png"/></a></div><div id="menu-wrapper"><div 
id="pill-wrapper"><a class="pill left" 
href="/gallery/template-gallery">TEMPLATES</a> <a class="pill right" 
href="//github.com/apache/incubator-predictionio/">OPEN 
SOURCE</a></div></div><img class="mobile-search-bar-toggler hidden-md 
hidden-lg" 
src="/images/icons/search-glass-704bd4ff.png"/></div></div></div></header><div 
id="search-bar-row-wrapper"><div class="container-fluid" 
id="search-bar-row"><div class="row"><div class="col-md-9 col-sm-11 
 col-xs-11"><div class="hidden-md hidden-lg" 
id="mobile-page-heading-wrapper"><p>PredictionIO Docs</p><h4>Architecture 
Overview</h4></div><h4 class="hidden-sm hidden-xs">PredictionIO 
Docs</h4></div><div class="col-md-3 col-sm-1 col-xs-1 hidden-md hidden-lg"><img 
id="left-menu-indicator" 
src="/images/icons/down-arrow-dfe9f7fe.png"/></div><div class="col-md-3 
col-sm-12 col-xs-12 swiftype-wrapper"><div class="swiftype"><form 
class="search-form"><img class="search-box-toggler hidden-xs hidden-sm" 
src="/images/icons/search-glass-704bd4ff.png"/><div class="search-box"><img 
src="/images/icons/search-glass-704bd4ff.png"/><input type="text" 
id="st-search-input" class="st-search-input" placeholder="Search 
Doc..."/></div><img class="swiftype-row-hider hidden-md hidden-lg" 
src="/images/icons/drawer-toggle-active-fcbef12a.png"/></form></div></div><div 
class="mobile-left-menu-toggler hidden-md 
hidden-lg"></div></div></div></div><div id="page" class="container-fluid"><div 
class="row"><div id="left-
 menu-wrapper" class="col-md-3"><nav id="nav-main"><ul><li class="level-1"><a 
class="expandible" href="/"><span>Apache PredictionIO (incubating) 
Documentation</span></a><ul><li class="level-2"><a class="final" 
href="/"><span>Welcome to Apache PredictionIO 
(incubating)</span></a></li></ul></li><li class="level-1"><a class="expandible" 
href="#"><span>Getting Started</span></a><ul><li class="level-2"><a 
class="final" href="/start/"><span>A Quick Intro</span></a></li><li 
class="level-2"><a class="final" href="/install/"><span>Installing Apache 
PredictionIO (incubating)</span></a></li><li class="level-2"><a class="final" 
href="/start/download/"><span>Downloading an Engine Template</span></a></li><li 
class="level-2"><a class="final" href="/start/deploy/"><span>Deploying Your 
First Engine</span></a></li><li class="level-2"><a class="final" 
href="/start/customize/"><span>Customizing the 
Engine</span></a></li></ul></li><li class="level-1"><a class="expandible" 
href="#"><span>Integrating with 
 Your App</span></a><ul><li class="level-2"><a class="final" 
href="/appintegration/"><span>App Integration Overview</span></a></li><li 
class="level-2"><a class="expandible" href="/sdk/"><span>List of 
SDKs</span></a><ul><li class="level-3"><a class="final" 
href="/sdk/java/"><span>Java & Android SDK</span></a></li><li 
class="level-3"><a class="final" href="/sdk/php/"><span>PHP 
SDK</span></a></li><li class="level-3"><a class="final" 
href="/sdk/python/"><span>Python SDK</span></a></li><li class="level-3"><a 
class="final" href="/sdk/ruby/"><span>Ruby SDK</span></a></li><li 
class="level-3"><a class="final" href="/sdk/community/"><span>Community Powered 
SDKs</span></a></li></ul></li></ul></li><li class="level-1"><a 
class="expandible" href="#"><span>Deploying an Engine</span></a><ul><li 
class="level-2"><a class="final" href="/deploy/"><span>Deploying as a Web 
Service</span></a></li><li class="level-2"><a class="final" 
href="/cli/#engine-commands"><span>Engine Command-line Interface</span></a
 ></li><li class="level-2"><a class="final" href="/batchpredict/"><span>Batch 
 >Predictions</span></a></li><li class="level-2"><a class="final" 
 >href="/deploy/monitoring/"><span>Monitoring Engine</span></a></li><li 
 >class="level-2"><a class="final" href="/deploy/engineparams/"><span>Setting 
 >Engine Parameters</span></a></li><li class="level-2"><a class="final" 
 >href="/deploy/enginevariants/"><span>Deploying Multiple Engine 
 >Variants</span></a></li></ul></li><li class="level-1"><a class="expandible" 
 >href="#"><span>Customizing an Engine</span></a><ul><li class="level-2"><a 
 >class="final" href="/customize/"><span>Learning DASE</span></a></li><li 
 >class="level-2"><a class="final" href="/customize/dase/"><span>Implement 
 >DASE</span></a></li><li class="level-2"><a class="final" 
 >href="/customize/troubleshooting/"><span>Troubleshooting Engine 
 >Development</span></a></li><li class="level-2"><a class="final" 
 >href="/api/current/#package"><span>Engine Scala 
 >APIs</span></a></li></ul></li><li class="level-1"
 ><a class="expandible" href="#"><span>Collecting and Analyzing 
 >Data</span></a><ul><li class="level-2"><a class="final" 
 >href="/datacollection/"><span>Event Server Overview</span></a></li><li 
 >class="level-2"><a class="final" 
 >href="/cli/#event-server-commands"><span>Event Server Command-line 
 >Interface</span></a></li><li class="level-2"><a class="final" 
 >href="/datacollection/eventapi/"><span>Collecting Data with 
 >REST/SDKs</span></a></li><li class="level-2"><a class="final" 
 >href="/datacollection/eventmodel/"><span>Events Modeling</span></a></li><li 
 >class="level-2"><a class="final" 
 >href="/datacollection/webhooks/"><span>Unifying Multichannel Data with 
 >Webhooks</span></a></li><li class="level-2"><a class="final" 
 >href="/datacollection/channel/"><span>Channel</span></a></li><li 
 >class="level-2"><a class="final" 
 >href="/datacollection/batchimport/"><span>Importing Data in 
 >Batch</span></a></li><li class="level-2"><a class="final" 
 >href="/datacollection/analytics/"><span>Using Analytics Tools</spa
 n></a></li></ul></li><li class="level-1"><a class="expandible" 
href="#"><span>Choosing an Algorithm(s)</span></a><ul><li class="level-2"><a 
class="final" href="/algorithm/"><span>Built-in Algorithm 
Libraries</span></a></li><li class="level-2"><a class="final" 
href="/algorithm/switch/"><span>Switching to Another 
Algorithm</span></a></li><li class="level-2"><a class="final" 
href="/algorithm/multiple/"><span>Combining Multiple 
Algorithms</span></a></li><li class="level-2"><a class="final" 
href="/algorithm/custom/"><span>Adding Your Own 
Algorithms</span></a></li></ul></li><li class="level-1"><a class="expandible" 
href="#"><span>ML Tuning and Evaluation</span></a><ul><li class="level-2"><a 
class="final" href="/evaluation/"><span>Overview</span></a></li><li 
class="level-2"><a class="final" 
href="/evaluation/paramtuning/"><span>Hyperparameter Tuning</span></a></li><li 
class="level-2"><a class="final" 
href="/evaluation/evaluationdashboard/"><span>Evaluation 
Dashboard</span></a></li><li clas
 s="level-2"><a class="final" href="/evaluation/metricchoose/"><span>Choosing 
Evaluation Metrics</span></a></li><li class="level-2"><a class="final" 
href="/evaluation/metricbuild/"><span>Building Evaluation 
Metrics</span></a></li></ul></li><li class="level-1"><a class="expandible" 
href="#"><span>System Architecture</span></a><ul><li class="level-2"><a 
class="final active" href="/system/"><span>Architecture 
Overview</span></a></li><li class="level-2"><a class="final" 
href="/system/anotherdatastore/"><span>Using Another Data 
Store</span></a></li></ul></li><li class="level-1"><a class="expandible" 
href="#"><span>PredictionIO Official Templates</span></a><ul><li 
class="level-2"><a class="final" 
href="/templates/"><span>Intro</span></a></li><li class="level-2"><a 
class="expandible" href="#"><span>Recommendation</span></a><ul><li 
class="level-3"><a class="final" 
href="/templates/recommendation/quickstart/"><span>Quick 
Start</span></a></li><li class="level-3"><a class="final" href="/templat
 es/recommendation/dase/"><span>DASE</span></a></li><li class="level-3"><a 
class="final" href="/templates/recommendation/evaluation/"><span>Evaluation 
Explained</span></a></li><li class="level-3"><a class="final" 
href="/templates/recommendation/how-to/"><span>How-To</span></a></li><li 
class="level-3"><a class="final" 
href="/templates/recommendation/reading-custom-events/"><span>Read Custom 
Events</span></a></li><li class="level-3"><a class="final" 
href="/templates/recommendation/customize-data-prep/"><span>Customize Data 
Preparator</span></a></li><li class="level-3"><a class="final" 
href="/templates/recommendation/customize-serving/"><span>Customize 
Serving</span></a></li><li class="level-3"><a class="final" 
href="/templates/recommendation/training-with-implicit-preference/"><span>Train 
with Implicit Preference</span></a></li><li class="level-3"><a class="final" 
href="/templates/recommendation/blacklist-items/"><span>Filter Recommended 
Items by Blacklist in Query</span></a></li><li c
 lass="level-3"><a class="final" 
href="/templates/recommendation/batch-evaluator/"><span>Batch Persistable 
Evaluator</span></a></li></ul></li><li class="level-2"><a class="expandible" 
href="#"><span>E-Commerce Recommendation</span></a><ul><li class="level-3"><a 
class="final" href="/templates/ecommercerecommendation/quickstart/"><span>Quick 
Start</span></a></li><li class="level-3"><a class="final" 
href="/templates/ecommercerecommendation/dase/"><span>DASE</span></a></li><li 
class="level-3"><a class="final" 
href="/templates/ecommercerecommendation/how-to/"><span>How-To</span></a></li><li
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Overview</span></li></ul></div><div id="page-title"><h1>System Architecture and 
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class="hidden-sm hidden xs"><ul><li><a href="#">System Architecture</a><span 
class="spacer">&gt;</span></li><li><span class="last">Architecture 
Overview</span></li></ul></div><div id="page-title"><h1>System Architecture and 
Dependencies</h1></div></div><div class="content"> <p>During the <a 
href="/install">installation</a>, you have installed the latest stable versions 
of the followi
 ng software:</p> <ul> <li>Apache Hadoop up to 2.7.2 (required only if YARN and 
HDFS are needed)</li> <li>Apache HBase up to 1.2.4</li> <li>Apache Spark up to 
1.6.3 for Hadoop 2.6 (not Spark 2.x version)</li> <li>Elasticsearch up to 1.7.5 
(not the Elasticsearch 2.x version)</li> </ul> <p>This section explains general 
rules-of-thumb for how they are used in PredictionIO. The actual implementation 
of the Template will define how much of this applies. PredictionIO is flexible 
about much of this configuration but its Templates generally fit the Lambda 
model for integrating real-time serving with background periodic model 
updates.</p><p><img alt="PredictionIO Systems" 
src="/images/pio-architecture-a1e2a38c.svg"/></p><p><strong>HBase</strong>: 
Event Server uses Apache HBase (or JDBC DB for small data) as the data store. 
It stores imported events. If you are not using the PredictionIO Event Server, 
you do not need to install HBase.</p><p><strong>Apache Spark</strong>: Spark is 
a large-scale
  data processing engine that powers the data preparation and input to the 
algorithm, training, and sometimes the serving processing. PredictionIO allows 
for different engines to be used in training but many algorithms come from 
Spark&#39;s MLlib.</p><p><strong>HDFS</strong>: is a distributed filesystem 
from Hadoop. It allows storage to be shared among clustered machines. It is 
used to stage data for batch import into PIO, for export of Event Server 
datasets, and for storage of some models (see your template for 
details).</p><p>The output of training has two parts: a model and its 
meta-data. The model is then stored in HDFS, a local file system, or 
Elasticsearch. See the details of your 
algorithm.</p><p><strong>Elasticsearch</strong>: stores metadata such as model 
versions, engine versions, access key and app id mappings, evaluation results, 
etc. For some templates it may store the 
model.</p></div></div></div></div><footer><div class="container"><div 
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 >PredictionIO is an effort undergoing incubation at The Apache Software 
 >Foundation (ASF), sponsored by the Apache Incubator. Incubation is required 
 >of all newly accepted projects until a further review indicates that the 
 >infrastructure, communications, and decision making process have stabilized 
 >in a manner consistent with other successful ASF projects. While incubation 
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