After nearly two years of writing, editing, and coding up examples, I’m excited to announce that Solr in Action has finally been published! We released our first “early access” version back in October of 2012 and have since been working tirelessly to round out this comprehensive (664 pages!) guide covering versions through Solr 4.7.
Solr in Action is an essential resource for implementing fast and scalable search using Apache Solr. It uses well-documented examples ranging from basic keyword searching to scaling a system for billions of documents and queries. With this book, you’ll 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 autocomplete, querying by functions, and more. You’ll also see how to take Solr to the next level, with deep coverage of large-scale production use cases, sophisticated multilingual search, complex query operations, and advanced relevancy tuning strategies.
Solr in Action is intentionally designed to be a learning guide as opposed to a reference manual. It builds from an initial introduction to Solr all the way to advanced topics such as implementing a predictive search experience, writing your own Solr plugins for function queries and multilingual text analysis, using Solr for big data analytics, and even building your own Solr-based recommendation engine.
The book uses fun real-world examples, including analyzing the text of tweets, searching and faceting on restaurants, grouping similar items in an ecommerce application, highlighting interesting keywords in UFO sighting reports, and even building a personalized job search experience. Executable code for all examples is included with the book, and several chapters are available for free at the publisher’s website.
