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


Performance of the application is one of the most important factors. Of course, there are other factors, such as usability and availability—we could recite many more—but one of the most crucial is performance. Even if our application is perfect in terms of usability, the users won't be able to use it if they will have to wait for minutes for the search results.

The standard Solr deployment is fast enough, but sooner or later a time will come when you will have to optimize your deployment. This chapter and its recipes will try to help you with the optimization of Solr deployment.

If your business depends on Solr, you should keep monitoring it even after optimization. There are numerous solutions available in the market, from the generic and open-sourced ones such as Gangila (http://ganglia.sourceforge.net/) to search-specific ones such as Scalable Performance Monitoring (http://www.sematext.com/spm/index.html) from Sematext.