| Summary: | A practical project-based guide to generating compelling search solutions using the dynamic and powerful features of Elasticsearch In Detail Elasticsearch is a distributed search server similar to Apache Solr with a focus on large datasets, schemaless setup, and high availability. Utilizing the Apache Lucene library (also used in Apache Solr), Elasticsearch enables powerful full-text search, as well as autocomplete "morelikethis" search, multilingual functionality, and an extensive search query DSL. This book starts with the creation of a Google-like web search service, enabling you to generate your own search results. You will then learn how an e-commerce website can be built using Elasticsearch. We will discuss various approaches in getting relevant content up the results, such as relevancy based on how well a query matched the text, time-based recent documents, geographically nearer items, and other frequently used approaches. Finally, the book will cover various geocapabilities of Elasticsearch to make your searches similar to real-world scenarios. What You Will Learn Build a simple scalable server for effective searching in Elasticsearch Design a scalable e-commerce search solution to generate accurate search results using various filters such as filters based on date range and price range Improve the relevancy and scoring of your searches Manage real-world, complex data using various techniques, including parent-child search and searching questions based on the criteria of questions and answers Use the excellent data crunching and aggregation capability of Elasticsearch to analyze your data Generate real-time visualizations of your data using compelling visualization techniques, such as time graphs, pie charts, and stacked graphs Enhance the quality of your search and widen the scope of matches using various analyzer techniques, such as lower casing, stemming, and synonym matching
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