Fantastic! This is great news for Solr! Congratulations! You might want to post this to the general-lucene mailing list and the linkedin group too.
On Tue, Aug 18, 2009 at 7:39 PM, Smiley, David W. <dsmi...@mitre.org> wrote: > Fellow Solr users, > > I've finally finished the book "Solr 1.4 Enterprise Search Server" with my > co-author Eric. We are proud to present the first book on Solr and hope you > find it a valuable resource. You can find full details about the book and > purchase it here: > http://www.packtpub.com/solr-1-4-enterprise-search-server/book > It can be pre-ordered at a discount now and should be shipping within a > week or two. The book is also available through Amazon. You can feel good > about the purchase knowing that 5% of each sale goes to support the Apache > Software Foundation. For a free sample, there is a portion of chapter 5 > covering faceting available as an article online here: > > http://www.packtpub.com/article/faceting-in-solr-1.4-enterprise-search-server > > By the way, we realize Solr 1.4 isn't out [quite] yet. It is > feature-frozen however, and there's little in the forthcoming release that > isn't covered in our book. About the only notable thing that comes to mind > is the contrib module on search result clustering. However Eric plans to > write a free online article available from Packt Publishing on that very > subject. > > "Solr 1.4 Enterprise Search Server" In Detail: > > If 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 you understand 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 > > > Sincerely, > > David Smiley (primary-author) > dsmi...@mitre.org > Eric Pugh (co-author) > ep...@opensourceconnections.com > -- Regards, Shalin Shekhar Mangar.
