Book Image

Mastering Elasticsearch 5.x - Third Edition

By : Bharvi Dixit
Book Image

Mastering Elasticsearch 5.x - Third Edition

By: Bharvi Dixit

Overview of this book

Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. Elasticsearch leverages the capabilities of Apache Lucene, and provides a new level of control over how you can index and search even huge sets of data. This book will give you a brief recap of the basics and also introduce you to the new features of Elasticsearch 5. We will guide you through the intermediate and advanced functionalities of Elasticsearch, such as querying, indexing, searching, and modifying data. We’ll also explore advanced concepts, including aggregation, index control, sharding, replication, and clustering. We’ll show you the modules of monitoring and administration available in Elasticsearch, and will also cover backup and recovery. You will get an understanding of how you can scale your Elasticsearch cluster to contextualize it and improve its performance. We’ll also show you how you can create your own analysis plugin in Elasticsearch. By the end of the book, you will have all the knowledge necessary to master Elasticsearch and put it to efficient use.
Table of Contents (20 chapters)
Mastering Elasticsearch 5.x - Third Edition
About the Author
About the Reviewer
Customer Feedback

Managing relational data in Elasticsearch

While Elasticsearch is gaining more and more attention, it is no longer used only as a search engine. It is seen as a data analysis solution and sometimes as a primary data store. Having a single data store that enables fast and efficient full text searching often seems like a good idea. We can not only store documents, but also search them and analyze their contents, bringing meaning to the data. This is usually more than we could expect from traditional SQL databases. However, if you have any experience with SQL databases, when dealing with Elasticsearch, you soon realize the necessity of modeling relationships between documents. Unfortunately, it is not easy and many of the habits and good practices from relation databases won't work in the world of the inverted index that Elasticsearch uses. Let's have a look at all the available possibilities in Elasticsearch on how the relational data can be managed.

The object type

Elasticsearch tries to interfere...