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| <title>Apache Ignite - In-Memory MapReduce</title> |
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| <section id="mapreduce" class="page-section"> |
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| <div class="col-sm-6 col-md-6 col-xs-12" style="padding-left:0; padding-right:0;"> |
| <h2 class="first">In-Memory MapReduce</h2> |
| <p> |
| Apache Ignite comes with in-memory implementation of Hadoop MapReduce APIs which provides |
| significant acceleration over the native Hadoop MapReduce implementation. Ignite MapReduce |
| performs much better than Hadoop due to push-based resource allocation as well as in-process |
| collocation of computations with data. |
| </p> |
| <p> |
| Additionally, since <a href="igfs.html">Ignite File System (IGFS)</a> does not need a |
| <i>Name Node</i>, when used with <i>IGFS</i>, Ignite MapReduce jobs go directly to the |
| IGFS data nodes in a single <span style="white-space: nowrap">round-trip</span>. |
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| </div> |
| </div> |
| <div class="page-heading">Native Hadoop MapReduce</div> |
| <p> |
| See <a href="http://apacheignite-fs.readme.io/docs/map-reduce" target="docs">MapReduce documentation</a> |
| to plug Ignite MapReduce natively into Hadoop deployments. |
| </p> |
| </section> |
| <section id="key-features" class="page-section"> |
| <h2>Ignite MapReduce Features</h2> |
| <table class="formatted" name="Ignite MapReduce Features"> |
| <thead> |
| <tr> |
| <th width="35%" class="left">Feature</th> |
| <th>Description</th> |
| </tr> |
| </thead> |
| <tbody> |
| <tr> |
| <td class="left">Native Hadoop MapReduce</td> |
| <td> |
| <p> |
| Ignite MapReduce is an implementation of Hadoop MapReduce APIs and can be |
| natively plugged into existing Hadoop installations to provide a |
| significant performance boost. |
| </p> |
| <div class="page-links"> |
| <a href="http://apacheignite-fs.readme.io/docs/map-reduce" target="docs">Docs for this Feature <i class="fa fa-angle-double-right"></i></a> |
| </div> |
| </td> |
| </tr> |
| <tr> |
| <td class="left">Hadoop Accelerator</td> |
| <td> |
| <p> |
| Ignite comes with Hadoop Accelerator distribution which provides both, |
| Ignite File System (IGFS) and Ignite MapReduce, in one installation which |
| can be easily plugged into existing Hadoop installations. |
| </p> |
| <div class="page-links"> |
| <a href="http://apacheignite-fs.readme.io/docs/hadoop-accelerator" target="docs">Docs for this Feature <i class="fa fa-angle-double-right"></i></a> |
| </div> |
| </td> |
| </tr> |
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| </table> |
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