Apache Solr 3 Enterprise Search Server
ISBN: 1849516065 | Publisher: Packt Publishing | Pages: 418 | Author: David Smiley, Eric Pugh | 32.23 MB

Description:
Enhance your search with faceted navigation, result highlighting, relevancy ranked sorting, and more
Comprehensive information on Apache Solr 3 with examples and tips so you can focus on the important parts
Integration examples with databases, web-crawlers, XSLT, Java & embedded-Solr, PHP & Drupal, javascript, Ruby frameworks
Advice on data modeling, deployment considerations to include security, logging, and monitoring, and advice on scaling Solr and measuring performance
An update of the best-selling title on Solr 1.4
In Detail
If you are a developer building an app today then you know how important a good search experience is. Apache Solr, built on Apache Lucene, is a wildly popular open source enterprise search server that easily delivers powerful search and faceted navigation features that are elusive with databases. Solr supports complex search criteria, faceting, result highlighting, query-completion, query spell-check, relevancy tuning, and more.
Apache Solr 3 Enterprise Search Server is a comprehensive reference guide for every feature Solr has to offer. It serves the reader right from initiation to development to deployment. It also comes with complete running examples to demonstrate its use and show how to integrate Solr with other languages and frameworks.
Through using a large set of metadata about artists, releases, and tracks courtesy of the MusicBrainz.org project, you will have a testing ground for Solr, and will learn how to import this data in various ways. You will then learn how to search this data in different ways, including Solr's rich query syntax and "boosting" match scores based on record data.
Finally, we'll cover various deployment considerations to include indexing strategies and performance-oriented configuration that will enable you to scale Solr to meet the needs of a high-volume site.
What you will learn from this book
Design a schema to include text indexing details like tokenization, stemming, and synonyms
Import data using various formats like CSV, XML, and from databases, and extract text from common document formats
Search using Solr's rich query syntax, perform geospatial searches, and influence relevancy order
Enhance search results with faceting, query spell-checking, auto-completing queries, highlighted search results, and more
Integrate a host of technologies with Solr from the server side to client-side javascript, to frameworks like Drupal
Scale Solr by learning how to tune it and how to use replication and sharding
Approach
The book is written as a reference guide. It includes fully working examples based on a real-world public data set.
Who this book is written for
This book is for developers who want to learn how to use Apache Solr in their applications. Only basic programming skills are needed.