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Compass: Integrate Search into your apps

http://www.infoq.com/articles/compass-search-tutorial Posted by Shay Banon on Nov 29, 2006 Sections
For the less acquainted, Lucene is a very compact and powerful search library while Solr is an enterprise search engine built on top of the Lucene library. Lucene gives you killer information retrieval core technology in a compact package, and Solr builds out features on top, including: a platform independent interface, faceting, replication, caching, large scale distributed search, and much more. This article assumes you are familiar with the Lucene/Solr basics, but should be fairly accessible to those that are investigating the scalability of the Lucene Stack. Lucene and Solr are both highly scalable search solutions. Depending on a multitude of factors, a single machine can easily host a Lucene/Solr index of 5 – 80+ million documents, while a distributed solution can provide subsecond search response times across billions of documents.

Scaling Lucene and Solr | Lucid Imagination

http://searchhub.org/2009/09/02/scaling-lucene-and-solr/

QueryParser Rules

Suppose you are searching the Web for pages that contain both the words java and net but not the word dot . What if search engines made you type in something like the following for this simple query? http://today.java.net/pub/a/today/2003/11/07/QueryParserRules.html
http://www.opensymphony.com/compass/

Compass - Compass

Unfortunately, OpenSymphony has seen it's final days. Started originally by some of the great minds of open source Java, it had a great run and produced some of the best open source Java libraries out there: WebWork (now Apache Struts) and XWork, it's core engine Quartz Scheduler SiteMesh Compass OSCache OSWorkflow OGNL OSUser PropertySet Clickstream OSCore

code_poet

http://jroller.com/wireframe/entry/simple_hibernate_search_engine Wouldn't it be great to be able to use a powerful search engine on your business objects?