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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 
id="table
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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 following 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, or up to 2.3.1</li> <li>Elasticsearch up to 
1.7.5, or up to 5.6.11</li> </ul> <p>This section explains general 
rules-of-thumb for how they are used in Predict
 ionIO. 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 m
 achines. It is used to stage data for batch import into PredictionIO, 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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class="expandible" href="/"><span>Apache PredictionIO® 
Documentation</span></a><ul><li class="level-2"><a class="final" 
href="/"><span>Welcome to Apache PredictionIO®</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</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" 
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 <a class="final" href="/appintegration/"><span>App Integration 
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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="/batchpredict/"><span>Batch Predictions</span></a></li><li 
class="level-2"><a class="final" href="/deploy/monit
 oring/"><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><li class="level-2"><a class="final" 
href="/deploy/plugin/"><span>Engine Server Plugin</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 
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href="/customize/troubleshooting/"><span>Troubleshooting Engine 
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href="/api/current/#package"><span>Engine Scala 
APIs</span></a></li></ul></li><li class="level-1"><a class="expandible" 
href="#"><span>Collecting and Analy
 zing 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="/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</span></a></li><li class="level-2"><a class="final" 
href="/datacollection/plugin/"><span>Event Server 
Plugin</span></a></li></ul></li><li class="level-1"><a class="expandible" 
href="#"><span>
 Choosing an Algorithm</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>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 class="level-2"><a class="final" 
href="/evaluation/metricchoose/"><span>Choosing Evaluat
 ion 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="/templates/recommendation/dase/"><span>DASE</span></a></li><li 
class="level-3"><a class="f
 inal" 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 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
 class="level-3"><a class="final" 
href="/templates/ecommercerecommendation/train-with-rate-event/"><span>Train 
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"><a 
class="final" href="/templates/similarproduct/quickstart/"><span>Quick 
Start</span></a></li><li cla
 ss="level-3"><a class="final" 
href="/templates/similarproduct/dase/"><span>DASE</span></a></li><li 
class="level-3"><a class="final" 
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 
class="final" 
href="/templates/similarproduct/return-item-properties/"><span>Returns Item 
Properties</span></a></li><li class="level-3"><a class="final" 
href="/templates/similarproduct/train-with-rate-event/"><span>Train with Rate 
Event</span></a></li><li class="level-3"><a class="final" 
href="/templates/similarproduct/rid-user-set-event/"><span>Get Rid of Events 
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" 
href="#"><span>Classification</span></a><ul><li 
 class="level-3"><a class="final" 
href="/templates/classification/quickstart/"><span>Quick 
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 
class="expandible" href="#"><span>Engine Template Gallery</span></a><ul><li 
class="level-2"><a class="final" 
href="/gallery/template-gallery/"><span>Browse</span></a></li><li 
class="level-2"><a class="final" 
href="/community/submit-template/"><span>Submit your Engine as a 
Template</span></a></li></ul></li><li class="level-1"><a class="expandible" 
href="#"><spa
 n>Demo Tutorials</span></a><ul><li class="level-2"><a class="final" 
href="/demo/tapster/"><span>Comics Recommendation Demo</span></a></li><li 
class="level-2"><a class="final" href="/demo/community/"><span>Community 
Contributed Demo</span></a></li><li class="level-2"><a class="final" 
href="/demo/textclassification/"><span>Text Classification Engine 
Tutorial</span></a></li></ul></li><li class="level-1"><a class="expandible" 
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Webhook</span></a></li><li class="level-2"><a class="final" href="/community
 /projects/"><span>Community Projects</span></a></li></ul></li><li 
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Help</span></a><ul><li class="level-2"><a class="final" 
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IDEA</span></a></li><li class="level-2"><a class="final" 
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 he Software Foundation</span></a><ul><li class="level-2"><a class="final" 
href="https://www.apache.org/";><span>Apache Homepage</span></a></li><li 
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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="#">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 
id="table
 -of-content-wrapper"><a id="edit-page-link" 
href="https://github.com/apache/predictionio/tree/livedoc/docs/manual/source/system/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="#">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>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 PredictionIO, 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 
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