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

Introduction


Indexing data is one of the most crucial things in every Lucene and Solr deployment. When your data is not indexed properly your search results will be poor. When the search results are poor, it's almost certain the users will not be satisfied with the application that uses Solr. That's why we need our data to be prepared and indexed as well as possible.

On the other hand, preparing data is not an easy task. Nowadays we have more and more data floating around. We need to index multiple formats of data from multiple sources. Do we need to parse the data manually and prepare the data in XML format? The answer is no – we can let Solr do that for us. This chapter will concentrate on the indexing process and data preparation beginning from how to index data that is a binary PDF file, teaching how to use the Data Import Handler to fetch data from database and index it with Apache Solr, and finally describing how we can detect the document's language during indexing.