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

Getting the number of documents with the same field value


Imagine a situation where besides the search results, you have to return the number of documents with the same field value. For example, imagine that you have an application that allows the user to search for companies in Europe, and your client wants the number of companies in the cities where the companies that were found by the query are located. To do this, you could of course run several queries but Solr provides a mechanism called faceting that can do that for you. This recipe will show you how to do it.

How to do it...

For getting the number of documents with the same field value, follow these steps:

  1. To start, let's assume that we have the following index structure (just add this to your schema.xml file in the field definition section; we will use the city field to do the faceting):

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