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

Chapter 10. Improving Performance

In the last chapter, we focused on two special kinds of nodes in Elasticsearch: ingest nodes and tribe nodes. We read about how one can do preprocessing and enrichment of data within Elasticsearch itself, and then we saw how to use a tribe node to enable cross cluster searching and called a federated search.

In this chapter, we are going to focus primarily on performance improvements of Elasticsearch clusters and how to scale them under different loads and scenarios. Additionally, we will also see how to work with query profiling and query benchmarking to know which part of the query takes more time to execute. In the end, we will also discuss general Elasticsearch cluster tuning considerations, under high query rate scenarios versus high indexing throughput scenarios. By the end of this chapter we will have covered the following topics:

  • Validating queries and using the query profiler to measure performance

  • What the hot threads API is and how it can help you...