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<h2 class="title"><a id="doc-sections"></a>Documentation sections<a class="edit_me" rel="nofollow" title="Edit this page on GitHub" href="https://github.com/elastic/elasticsearch-hadoop/edit/8.9/docs/src/reference/asciidoc/core/intro.adoc">edit</a></h2>
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<p>The documentation is broken-down in two parts:</p>
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<h2 class="title"><a id="_setup_requirements"></a>Setup & Requirements<a class="edit_me" rel="nofollow" title="Edit this page on GitHub" href="https://github.com/elastic/elasticsearch-hadoop/edit/8.9/docs/src/reference/asciidoc/core/intro.adoc">edit</a></h2>
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<p>This <a class="xref" href="features.html" title="Key features">section</a> provides an overview of the project, its requirements (and supported environment and libraries) plus information on how to easily install elasticsearch-hadoop in your environment.</p>
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<p>This part of the documentation explains the core functionality of elasticsearch-hadoop starting with the configuration options and architecture and gradually explaining the various major features. At a higher level the reference is broken down into architecture and configuration section which are general, Map/Reduce and the libraries built on top of it, upcoming computation libraries (like Apache Spark) and finally mapping, metrics and troubleshooting.</p>
<p>We recommend going through the entire documentation even superficially when trying out elasticsearch-hadoop for the first time, however those in a rush, can jump directly to the desired sections:</p>
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<dd>
overview of the elasticsearch-hadoop architecture and how it maps on top of Hadoop
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<a class="xref" href="configuration.html" title="Configuration"><em>Configuration</em></a>
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<dd>
explore the various configuration switches in elasticsearch-hadoop
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<a class="xref" href="mapreduce.html" title="Map/Reduce integration"><em>Map/Reduce integration</em></a>
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<dd>
describes how to use elasticsearch-hadoop in vanilla Map/Reduce environments - typically useful for those interested in data loading and saving to/from Elasticsearch without little, if any, ETL (extract-transform-load).
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Hive users should refer to this section.
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describes how to use Apache Spark with Elasticsearch through elasticsearch-hadoop.
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<a class="xref" href="mapping.html" title="Mapping and Types"><em>Mapping and Types</em></a>
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<dd>
deep-dive into the strategies employed by elasticsearch-hadoop for doing type conversion and mapping to and from Elasticsearch.
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<a class="xref" href="metrics.html" title="Hadoop Metrics"><em>Hadoop Metrics</em></a>
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Elasticsearch Hadoop metrics
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<a class="xref" href="troubleshooting.html" title="Troubleshooting"><em>Troubleshooting</em></a>
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tips on troubleshooting and getting help
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