Enhance your search with faceted navigation, result highlighting, fuzzy
queries, ranked scoring, and moreDeploy, embed, and integrate Solr with
a host of programming languagesImplement faceting in e-commerce and
other sites to summarize and navigate the results of a text
searchEnhance your search by highlighting search results, offering
spell-corrections, auto-suggest, finding "similar" records, boosting
records and fields for scoring, phonetic matchingInformative and
practical approach to development with fully working examples of
integrating a variety of technologiesIn DetailIf you are a developer
building a high-traffic web site, you need to have a terrific search
engine. Sites like Netflix.com and Zappos.com employ Solr, an open
source enterprise search server, which uses and extends the Lucene
search library. This is the first book in the market on Solr and it will
show you how to optimize your web site for high volume web traffic with
full-text search capabilities along with loads of customization options.
So, let your users gain a terrific search experience.This book 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 it with other languages and frameworks.This book
first gives you a quick overview of Solr, and then gradually takes you
from basic to advanced features that enhance your search. It starts off
by discussing Solr and helping yonderstand how it fits into your
architecture--where all databases and document/web crawlers fall short,
and Solr shines. The main part of the book is a thorough exploration of
nearly every feature that Solr offers. To keep this interesting and
realistic, we use a large open source set of metadata about artists,
releases, and tracks courtesy of the MusicBrainz.org project. Using this
data as a testing ground for Solr, you will learn how to import this
data in various ways from CSV to XML to database access. You will then
learn how to search this data in a myriad of ways, including Solr's rich
query syntax, "boosting" match scores based on record data and other
means, about searching across multiple fields with different boosts,
getting facets on the results, auto-complete user queries,
spell-correcting searches, highlighting queried text in search results,
and so on.After this thorough tour, we'll demonstrate working examples
of integrating a variety of technologies with Solr such as Java,
JavaScript, Drupal, Ruby, XSLT, PHP, and Python.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?Blend structured data with real search featuresImport CSV formatted
data, XML, common document formats, and from databases Deploy Solr and
provide reference to Solr's query syntax from the basics to range
queriesEnhance search results with spell-checking, auto-completing
queries, highlighting search results, and more.Secure SolrIntegrate a
host of technologies with Solr from the server side to client-side
JavaScript, to frameworks like DrupalScale Solr using replication,
distributed searches, and tuningApproachThe book takes a step-by-step
tutorial approach with fully working examples in Java. It will show you
how to implement a Solr-based search engine on your intranet or web
site.Who this book is written for?This book is for developers who would
like to use Solr for their applications. You only need to have basic
programming skills to use Solr. Knowledge of Lucene is certainly a
bonus.

http://www.amazon.com/exec/obidos/tg/detail/-/1847195881/

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