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


In this chapter, we focused on improving the user search experience. We started with working on did-you-mean functionality which is implemented by term and phrase suggesters and then covered search-as-you-type, for instance an auto-completion feature which is implemented using the completion suggester. We also saw the limitations of the completion suggester in handling advanced queries and partial matching, which was further solved by implementing our custom completion using n-grams. Lastly, we discussed the synonyms implementation and the limitations of synonyms usage in some scenarios.

In the next chapter, we will discuss topics which will give you an expert idea of designing index architecture, such as choosing the right number of shards and replicas along with a detailed discussion on how routing works, how shard allocation works, and how to alter its behavior. In addition to that, the chapter discusses what query execution preference is and how it allows us to choose where the...