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

Storing geographical points in the index


Imagine that up till now your application stores information about companies – not much information, just unique identification and the company name. But now, your client wants to store the location of the companies. In addition to that, your users would like to sort by distance and filter by distance from a given point. Is this doable with Solr? Of course it is and this recipe will show you how to do it.

How to do it...

  1. For the purpose of this recipe, let's create a sample index structure. To do this, describe the companies that we store in the index with three fields which are defined as follows (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="location" type="location" indexed="true" stored="true" />
  2. Next we will also add one dynamic field (add this to your schema...