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

Using decision tree faceting


Imagine that in our store we have products divided into categories. In addition to that, we store information about the stock of the items. Now, we want to show our crew how many of the products in the categories are in stock and how many we are missing. The first thing that comes to mind is using the faceting mechanism and some additional calculation. But why bother, when Solr 4.0 can do that calculation for us with the use of so called pivot faceting. This recipe will show you how to use it.

How to do it...

The following steps illustrate the use of pivot faceting:

  1. Let's start with the following index structure (just add this to your schema.xml file in the field definition section; we will use the category and stock fields to do the faceting):

    <field name="id" type="string" indexed="true" stored="true" required="true" />
    <field name="name" type="text" indexed="true" stored="true" />
    <field name="category" type="string" indexed="true" stored="true...