Documentation sections

The documentation is broken-down in two parts:

Setup & Requirements

This section 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.

Reference Documentation

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.

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:

Architecture
overview of the elasticsearch-hadoop architecture and how it maps on top of Hadoop
Configuration
explore the various configuration switches in elasticsearch-hadoop
Map/Reduce integration
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).
Cascading support
describes how to use Cascading and elasticsearch-hadoop.
Apache Hive integration
Hive users should refer to this section.
Apache Pig support
how-to on using Elasticsearch in Pig scripts through elasticsearch-hadoop.
Apache Spark support
describes how to use Apache Spark with Elasticsearch through elasticsearch-hadoop.
Mapping and Types
deep-dive into the strategies employed by elasticsearch-hadoop for doing type conversion and mapping to and from Elasticsearch.
Hadoop Metrics
Elasticsearch Hadoop metrics
Troubleshooting
tips on troubleshooting and getting help