It is fairly easy to embed Lucene into your application at the service layer. This approach can add high performance keyword based search capability to your application.
Lucene/Solr is a full featured search engine and it is rare to need to extend its search capabilities. If you do find yourself needing something not available in vanilla Solr, then functions, request handlers, and search components are three basic ways to extend Solr with your own custom Java code to handle special search requirements.
If you are considering the development of a MDSD system, then avoid making some costly mistakes by learning these ten lessons that I learned when I wrote a MDSD system that generates web 2.0 apps based on Google Closure and XMPP. If you can keep it simple, keep it useful, provide an editor, provide importers, generate clean code, automate the entire build process, and decouple both GUI and data store, then you’ll have a really cool tool.
If you are the software architect for a proposed web 2.0 application and there is a mandate for social or real-time features, then consider using XMPP as a replacement for AJAX.
Although you need Big Data to effectively implement a large scale social media solution, Hadoop is not always the right tool. This implementation description details how to use Solr/Lucene as a NoSql solution to meet the near real-time Big Data needs of a social blog feed.