Book Image

Apache Solr 4 Cookbook

By : Rafał Kuć
Book Image

Apache Solr 4 Cookbook

By: Rafał Kuć

Overview of this book

<p>Apache Solr is a blazing fast, scalable, open source Enterprise search server built upon Apache Lucene. Solr is wildly popular because it supports complex search criteria, faceting, result highlighting, query-completion, query spell-checking, and relevancy tuning, amongst other numerous features.<br /><br />"Apache Solr 4 Cookbook" will show you how to get the most out of your search engine. Full of practical recipes and examples, this book will show you how to set up Apache Solr, tune and benchmark performance as well as index and analyze your data to provide better, more precise, and useful search data.<br /><br />"Apache Solr 4 Cookbook" will make your search better, more accurate and faster with practical recipes on essential topics such as SolrCloud, querying data, search faceting, text and data analysis, and cache configuration.<br /><br />With numerous practical chapters centered on important Solr techniques and methods, Apache Solr 4 Cookbook is an essential resource for developers who wish to take their knowledge and skills further. Thoroughly updated and improved, this Cookbook also covers the changes in Apache Solr 4 including the awesome capabilities of SolrCloud.</p>
Table of Contents (18 chapters)
Apache Solr 4 Cookbook
Credits
About the Author
Acknowledgement
About the Reviewers
www.PacktPub.com
Preface
Index

Detecting the document's language


Imagine a situation where you have users from different countries and you would like to give them a choice to only see content you index that is written in their native language. Sounds quite interesting, right? Let us see how we can identify the language of the documents during indexing and store that information along with the documents in the index for later use.

How to do it...

For the language identification we will use one of the Solr contrib modules, but let's start from the beginning.

  1. For the purpose of the recipe, I assume that we will be using the following index structure (add the following to the fields section of your schema.xml file):

    <field name="id" type="string" indexed="true" stored="true" required="true" multiValued="false" />
    <field name="name" type="text_general" indexed="true"
    stored="true"/>
    <field name="description" type="text_general" indexed="true" stored="true" />
    <field name="langId" type="string" indexed="true...