Book Image

Elasticsearch Server - Third Edition

By : Rafal Kuc
Book Image

Elasticsearch Server - Third Edition

By: 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 (18 chapters)
Elasticsearch Server Third Edition
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Preface
Index

Elasticsearch time machine


A good piece of software is a one that can manage exceptional situations such as hardware failure or human error. Even though a cluster of a few servers is less dependent on hardware problems, bad things can still happen. For example, let's imagine that you need to restore your indices. One possible solution is to reindex all your data from a primary data store such as a SQL database. But what will you do if it takes too long or, even worse, the only data store is Elasticsearch? Before Elasticsearch 1.0, creating backups of indices was not easy. The procedure included stopping indexation, flushing the data to disk, shutting down the cluster, and, finally, copying the data to a backup device.

Fortunately, now we can take snapshots and this section will guide you and show how this functionality works.

Creating a snapshot repository

A snapshot keeps all the data related to the cluster from the time the snapshot creation starts and it includes information about the cluster...