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Elasticsearch Server - Third Edition

Elasticsearch Server - Third Edition

By : Marek Rogozinski, Rafal Kuc
5 (1)
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Elasticsearch Server - Third Edition

Elasticsearch Server - Third Edition

5 (1)
By: Marek Rogozinski, Rafal Kuc

Overview of this book

ElasticSearch is a very fast and scalable open source search engine, designed with distribution and cloud in mind, complete with all the goodies that Apache Lucene has to offer. ElasticSearch’s schema-free architecture allows developers to index and search unstructured content, making it perfectly suited for both small projects and large big data warehouses, even those with petabytes of unstructured data. This book will guide you through the world of the most commonly used ElasticSearch server functionalities. You’ll start off by getting an understanding of the basics of ElasticSearch and its data indexing functionality. Next, you will see the querying capabilities of ElasticSearch, followed by a through explanation of scoring and search relevance. After this, you will explore the aggregation and data analysis capabilities of ElasticSearch and will learn how cluster administration and scaling can be used to boost your application performance. You’ll find out how to use the friendly REST APIs and how to tune ElasticSearch to make the most of it. By the end of this book, you will have be able to create amazing search solutions as per your project’s specifications.
Table of Contents (13 chapters)
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12
Index

Indexing tree-like structures

Trees are everywhere. If you develop an e-commerce shop application, your products will probably be described with the use of categories. The thing about categories is that in most cases they are hierarchical. There are top categories, such as electronics, music, books, and so on. Each of the top level categories can have numerous children categories, such as fiction and science, and those can get even deeper into science fiction, romance, and so on. If you look at the file system, the files and directories are arranged in tree-like structures as well. This book can also be represented as a tree: chapters contain topics and topics are divided into subtopics. So the data around us is arranged into tree-like structures and as you can imagine, Elasticsearch is capable of indexing tree-like structures so that we can represent the data in an easier manner. Let's check how we can navigate through this type of data using path_analyzer.

Data structure

To begin...

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