I was joking [off-topic]; "faceting" as a DocSet intersections' replaced by trivial term count calcs which is extremely faster in some (if not all) use cases, including possibly even NON-tokenized (with standard faceting we can use FilterCache)... http://issues.apache.org/jira/browse/SOLR-475 (and probably http://issues.apache.org/jira/browse/SOLR-711) It took several years to find this...
http://www.packtpub.com/solr-1-4-enterprise-search-server/book/sr/solr-serve r-abr1/0809?utm_source=sr_solr_server_abr1_0809&utm_medium=content&utm_campa ign=sanjay £13.29 for PDF, 30% discount!!! -----Original Message----- From: Smiley, David W. [mailto:dsmi...@mitre.org] Sent: August-19-09 12:38 AM To: solr-user@lucene.apache.org Subject: RE: [ANNOUNCEMENT] Newly released book: Solr 1.4 Enterprise Search Server Hi Faud. It's true I didn't publicize its release beforehand; I have no idea if it is normal to do so or not. I guess I'm a bit shy. I honestly have no clue what you're referring to as the successor to the "faceting" term. ~ David Smiley ________________________________________ From: Fuad Efendi [f...@efendi.ca] Sent: Tuesday, August 18, 2009 10:39 PM To: solr-user@lucene.apache.org Subject: RE: [ANNOUNCEMENT] Newly released book: Solr 1.4 Enterprise Search Server Some very smart guys at Hadoop even posted some discount codes at WIKI, and it's even possible to buy in-advance not published yet chapters :) - everything changes extremely quick... Why did you keeep it in secret? Waiting for SOLR-4.1 :))) - do you still use outdated pre-1.4 "faceting" term in your book? Congratulations! -----Original Message----- From: Smiley, David W. [mailto:dsmi...@mitre.org] Sent: August-18-09 10:10 AM To: solr Subject: [ANNOUNCEMENT] Newly released book: Solr 1.4 Enterprise Search Server 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-serve r 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
