Solr in Action is a comprehensive guide to implementing scalable search using Apache Solr. This clearly written book walks you through well-documented examples ranging from basic keyword searching to scaling a system for billions of documents and queries. It will give you a deep understanding of how to implement core Solr capabilities.
Whether you're handling big (or small) data, managing documents, or building a website, it is important to be able to quickly search through your content and discover meaning in it. Apache Solr is your tool: a ready-to-deploy, Lucene-based, open source, full-text search engine. Solr can scale across many servers to enable real-time queries and data analytics across billions of documents.
Solr in Action teaches you to implement scalable search using Apache Solr. This easy-to-read guide balances conceptual discussions with practical examples to show you how to implement all of Solr's core capabilities. You'll master topics like text analysis, faceted search, hit highlighting, result grouping, query suggestions, multilingual search, advanced geospatial and data operations, and relevancy tuning.
What's Inside • How to scale Solr for big data • Rich real-world examples • Solr as a NoSQL data store • Advanced multilingual, data, and relevancy tricks • Coverage of versions through Solr 4.7
Table of Contents PART 1 MEET SOLR • Introduction to Solr • Getting to know Solr • Key Solr concepts • Configuring Solr • Indexing • Text analysis PART 2 CORE SOLR CAPABILITIES • Performing queries and handling results • Faceted search • Hit highlighting • Query suggestions • Result grouping/field collapsing • Taking Solr to production. PART 3 TAKING SOLR TO THE NEXT LEVEL • SolrCloud • Multilingual search • Complex query operations • Mastering relevancy
