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

Query templates

When the application grows, it is very probable that the environment will start to be more and more complicated. In your organization, you probably have developers who specialize in particular layers of the application. For example, you have at least one frontend designer and an engineer responsible for the database layer. It is very convenient to have the development divided into several modules because you can work on different parts of the application in parallel, without the need for constant synchronization between individuals and the whole team. Of course, the book you are currently reading is not a book about project management, but search, so let's stick to that topic. In general, it would be useful, at least sometimes, to be able to extract all queries generated by the application, give them to a search engineer, and let him/her optimize them, in terms of both performance and relevance. In such a case, the application developers would only have to pass the query...