As the saying goes, if a tree falls in the woods and no one hears it, did it make a sound? Similarly, if you have a wonderful search engine, but your users can't access it, do you really have a wonderful search engine? Fortunately, Solr is very easy to integrate into a wide variety of client environments via its modern, easy-to-use, REST-like interface and multiple data formats. In this chapter, we will:
Quickly prototype a search UI using Solritas (the
/browse
UI)Look at accessing Solr results through various language-based clients, including Java, Ruby, and PHP
Learn how to build a dynamic JavaScript-based interface for Solr using AJAX calls
Briefly cover building our own Google-like search engine by crawling the MusicBrainz.org site with the Nutch web crawler
Leverage Hadoop to build Solr indexes using multiple machines
Translate search results into the OpenSearch XML standard via XSLT
Review ManifoldCF, a framework for syncing content from external repositories...