Elasticsearch in Action

This book is a practical guide to building scalable search applications with Elasticsearch, co-written by Radu Gheorghe, Matthew Lee Hinman, and Roy Russo, aimed at developers and system administrators who need to implement search functionality in their own applications. The book focuses on Elasticsearch's HTTP-based REST API, with examples given mostly as curl bash scripts, so readers can readily translate them into calls in Java, Python, or other familiar languages. The content is divided into two main parts. Part One systematically explains core features: Elasticsearch's positioning and basic concepts, indexing, updating, and deleting data, various query methods and search execution, text analysis and relevance tuning, real-time exploratory analysis of data with aggregations, and expressing relationships between documents through parent-child and nested mechanisms. Part Two moves toward production: sharding and replicas, horizontal scaling, ideas and means for improving performance, and the essentials of day-to-day cluster management and operations, helping readers turn prototype features into products. Six additional appendices cover geospatial data handling, plugins, search result highlighting, production monitoring plugins, using percolators to "invert" search for reverse matching, and using suggesters for autocomplete and "did you mean" correction. The book emphasizes connecting concepts, query syntax, and tuning effects, and is suited to hands-on verification on a test cluster while reading.