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, jаvascript, 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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