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Elasticsearch Server - Third Edition

Elasticsearch Server - Third Edition

By : Marek Rogozinski, Rafal Kuc
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Elasticsearch Server - Third Edition

Elasticsearch Server - Third Edition

5 (1)
By: Marek Rogozinski, Rafal Kuc

Overview of this book

ElasticSearch is a very fast and scalable open source search engine, designed with distribution and cloud in mind, complete with all the goodies that Apache Lucene has to offer. ElasticSearch’s schema-free architecture allows developers to index and search unstructured content, making it perfectly suited for both small projects and large big data warehouses, even those with petabytes of unstructured data. This book will guide you through the world of the most commonly used ElasticSearch server functionalities. You’ll start off by getting an understanding of the basics of ElasticSearch and its data indexing functionality. Next, you will see the querying capabilities of ElasticSearch, followed by a through explanation of scoring and search relevance. After this, you will explore the aggregation and data analysis capabilities of ElasticSearch and will learn how cluster administration and scaling can be used to boost your application performance. You’ll find out how to use the friendly REST APIs and how to tune ElasticSearch to make the most of it. By the end of this book, you will have be able to create amazing search solutions as per your project’s specifications.
Table of Contents (13 chapters)
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12
Index

Controlling cluster rebalancing


By default, Elasticsearch tries to keep the shards and their replicas evenly balanced across the cluster. Such behavior is good in most cases, but there are times when we want to control this behavior—for example, during rolling restarts. We don't want to rebalance the entire cluster when one or two nodes are restarted. In this section, we will look at how to avoid cluster rebalance and control this process' behavior in depth.

Imagine a situation where you know that your network can handle very high amounts of traffic or the opposite of this— your network is used extensively and you want to avoid too much load on it. The other example is that you may want to decrease the pressure that is put on your I/O subsystem after a full-cluster restart and you want to have less shards and replicas being initialized at the same time. These are only two examples where rebalance control may be handy.

Understanding rebalance

Rebalancing is the process of moving shards between...

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