DESCRIPTION   Whether handling big data, building cloud-based services, or developing multi-tenant web applications, it's vital to have a fast, reliable search solution. Apache Solr is a scalable and ready-to-deploy open-source full-text search engine powered by Lucene. It offers key features like multi-lingual keyword searching, faceted search, intelligent matching, and relevancy weighting right out of the box.   Solr in Action is the definitive guide to implementing fast and scalable search using Apache Solr 4. It uses well-documented examples ranging from basic keyword searching to scaling a system for billions of documents and queries. Readers will gain a deep understanding of how to implement core Solr capabilities such as faceted navigation through search results, matched snippet highlighting, field collapsing and search results grouping, spell checking, query auto-complete, querying by functions, and more.   RETAIL SELLING POINTS   Clearly-written comprehensive guide In-depth coverage of Solr 4 Uses real-world examples backed by years of experience   AUDIENCE This book assumes some knowledge of Java and standard database technology. No prior experience with Solr or Lucene is required.   ABOUT THE TECHNOLOGY Solr 4 provides new features to enable large-scale distributed search solutions that can be deployed as an elastically scaling cloud-based service and can provide additional intelligence to other big data technologies like Hadoop and Mahout.

AUTHOR BIO   Trey Grainger manages the Search Technology Development group at CareerBuilder.com. His search experience includes handling multi-lingual content across dozens of markets/languages, machine learning, genetic algorithm and user group based relevancy tuning, geo-spatial search and validation, and work on customized payload scoring models, data mining, clustering, and recommendations. Trey is the Founder of Celiaccess.com, a gluten-free search engine, and is a frequent speaker at Lucene and Solr-related conferences.   Timothy Potter is an architect on the Big Data team at Dachis Group, where he focuses on large-scale machine learning, text mining, and social network analysis. Tim has worked extensively with Lucene and Solr technologies and has been a speaker at Lucene Revolution. He is a contributing author to Taming Text (Manning 2012) and holds several US Patents related to J2EE-based enterprise application integration. He blogs at thelabdude.blogspot.com.