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 spatial capabilities


The search servers such as Elasticsearch are usually looked at from the perspective of full-text searching. Elasticsearch, because of its marketing as being part of ELK (Elasticsearch, Logstash, and Kibana), is also highly known for being able to handle large amount of time series data. However, this is only a part of the whole view. Sometimes both of the mentioned use cases are not enough. Imagine searching for local services. For the end user, the most important thing is the accuracy of the results. By accuracy, we not only mean the proper results of the full-text search, but also the results being as near as they can in terms of location. In several cases, this is the same as a text search on geographical names such as cities or streets, but in other cases we can find it very useful to be able to search on the basis of the geographical coordinates of our indexed documents. And this is also a functionality that Elasticsearch is capable of handling.

With...