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 documents with only a partial match


Imagine a situation where you have an e-commerce library and you want to make a search algorithm that tries to bring the best search results to your customers. But you noticed that many of your customers tend to make queries with too many words, which result in an empty results list. So you decided to make a query that will require the maximum of two of the words that the user entered to be matched. This recipe will show you how to do it.

Getting ready

This method can only be used with the DisMax query parser. The standard query parser doesn't support the mm parameter.

How to do it...

  1. Let's begin with creating our index that has the following structure (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="title" type="text" indexed="true" stored="true" />

    As you can see our books are described by two fields.

  2. Now let's look at the example...