Book Image

Mastering Elasticsearch 5.x - Third Edition

Book Image

Mastering Elasticsearch 5.x - Third Edition

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
Credits
About the Author
Acknowledgements
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Chapter 3.  Beyond Full Text Search

In the previous chapter, we saw how scoring and relevancy work in a full text search. We also discussed the Elasticsearch Query DSL in detail and covered the important queries with their use cases. Finally, we talked about using query rewrites and using search templates along with the Mustache template engine. In this chapter, we will focus on topics which are more than just a full text search and we'll learn how to alter the default scoring of Apache Lucene using custom methods. We will also learn about scripting modules of Elasticsearch in detail. By the end of this chapter, we will have covered the following topics:

  • Controlling multimatching

  • Controlling the score using the function score query

  • Optimizing queries and score recalculation using the query rescore

  • Extended information regarding Elasticsearch scripting

  • The new scripting language: Painless

  • Understanding Lucene expressions