Название: Elasticsearch in Action, 2nd Edition (Final) Автор: Madhusudhan Konda Издательство: Manning Publications Год: 2023 Страниц: 593 Язык: английский Формат: pdf (true) Размер: 20.3 MB
Build powerful, production-ready search applications using the incredible features of Elasticsearch.
In ElasticSearch in Action, Second Edition you will discover:
Architecture, concepts, and fundamentals of Elasticsearch Installing, configuring and running Elasticsearch and Kibana Creating an index with custom settings Data types, mapping fundamentals, and templates Fundamentals of text analysis and working with text analyzers Indexing, deleting, and updating documents Indexing data in bulk and reindexing and aliasing operations Learning search concepts, relevancy scores and similarity algorithms
Elasticsearch in Action, Second Edition teaches you to build scalable search applications using Elasticsearch. This completely new edition explores Elasticsearch fundamentals from the ground up. You’ll deep dive into design principles, search architectures, and Elasticsearch’s essential APIs. Every chapter is clearly illustrated with diagrams and hands-on examples. You’ll even explore real-world use cases for full text search, data visualisations, and Machine Learning.
About the technology: Modern search seems like magic. You type a few words and the search engine appears to know what you want. With the Elasticsearch near-real-time search and analytics engine, you can give your users this magical experience without having to do complex low-level programming or understand advanced data science algorithms. You just install it, tweak it, and get on with your work.
About the book: Elasticsearch in Action, Second Edition is a hands-on guide to developing fully functional search engines with Elasticsearch and Kibana. Rewritten for the latest version of Elasticsearch, this completely new second edition explores Elasticsearch’s high-level architecture, reveals infrastructure patterns, and walks through the search and analytics capabilities of numerous Elasticsearch APIs.
It covers dozens of awesome techniques, such as:
Developing a multitude of search queries Working with various query types Enabling search results with sorting and pagination functionality Writing and working with advanced search queries Working analytics and aggregations Developing high level visualizations in Kibana Configuring and scaling the clusters, and tuning performance
You’ll quickly progress from the basics of installation and configuring clusters, to indexing documents, advanced aggregations, and putting your servers into production. By the time you’re done, you’ll be ready to build amazing search engines for your clients that take advantage of Elasticsearch’s modern features.
One of the primary goals of this book is to provide a seamless hands-on experience by including easily executable code. After several iterations, a decision was made to host all the queries, written and executed on Kibana, in a text file on GitHub. These queries are captured as Query DSL-based JSON code. The aim is to provide a straightforward process where you can copy the text file from GitHub and paste it into your Kibana Dev Tools application for immediate execution. To further aid in your learning journey, sample data files and, when necessary, mappings for these indexes are provided in a dedicated datasets folder. This approach ensures a practical, learner-friendly experience that allows you to engage directly with the material and apply your newfound knowledge. The source code is available on GitHub and the book’s website. Appendix C covers Elasticsearch’s interoperability with various programming languages through clients such as Java, Python, javascript, C#, and others, offering examples and best practices.
About the reader: For application developers familiar with DevOps and web services.
About the author: Madhusudhan Konda is a full-stack lead engineer, architect, mentor, and conference speaker. He delivers live online training on Elasticsearch and the Elastic Stack.
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