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

Computing statistics for the search results


Imagine a situation where you want to compute some basic statistics about the documents in the results list. For example, you have an e-commerce shop where you want to show the minimum and the maximum price of the documents that were found for a given query. Of course you could fetch all the documents and count them by yourself, but imagine Solr doing it for you. Yes, it can! And this recipe will show you how to use that functionality.

How to do it...

  1. Let's start with the index structure (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" />
    <field name="price" type="float" indexed="true" stored="true" />
  2. The example data that we index looks like the following code:

    <add>
     <doc>
      <field name="id">1</field>
      <field name="name">Book 1</field>
      &lt...