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

Splitting text by numbers and non-whitespace characters


Analyzing the text data is not only about stemming, removing diacritics (if you are not familiar with the word, please take a look at http://en.wikipedia.org/wiki/Diacritic), and choosing the right format for the data. Let's assume that our client wants to be able to search by words and numbers that construct product identifiers. For example, he would like to be able to find the product identifier ABC1234XYZ by using ABC, 1234, or XYZ.

How to do it...

  1. Let's start with the index that consists of three fields (add this to your schema.xml file to the field definition section):

    <field name="id" type="string" indexed="true" stored="true" required="true" />
    <field name="name" type="text" indexed="true" stored="true"/>
    <field name="description" type="text_split" indexed="true" stored="true" />
  2. The second step is to define our text_split type which should look like the following code (add this to your schema.xml file):

    <fieldType...