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

How to highlight long text fields and get good performance


In certain situations, the standard highlighting mechanism may not be performing as well as you would like it to be. For example, you may have long text fields and you want the highlighting mechanism to work with them. This recipe will show you how to do that.

How to do it...

  1. We begin the index structure configuration which looks as follows (just add this to your schema.xml file, to the field section):

    <field name="id" type="string" indexed="true" stored="true" required="true" />
    <field name="name" type="text" indexed="true" stored="true"  termVectors="true" termPositions="true" termOffsets="true" />
  2. The next step is to index the data. We will use the test data which looks like the following code:

    <add>
     <doc>
      <field name="id">1</field>
      <field name="name">Solr Cookbook first edition</field>
     </doc>
     <doc>
      <field name="id">2</field>
      <field name="name"&gt...