Book Image

ElasticSearch Server

Book Image

ElasticSearch Server

Overview of this book

ElasticSearch is an open source search server built on Apache Lucene. It was built to provide a scalable search solution with built-in support for near real-time search and multi-tenancy.Jumping into the world of ElasticSearch by setting up your own custom cluster, this book will show you how to create a fast, scalable, and flexible search solution. By learning the ins-and-outs of data indexing and analysis, "ElasticSearch Server" will start you on your journey to mastering the powerful capabilities of ElasticSearch. With practical chapters covering how to search data, extend your search, and go deep into cluster administration and search analysis, this book is perfect for those new and experienced with search servers.In "ElasticSearch Server" you will learn how to revolutionize your website or application with faster, more accurate, and flexible search functionality. Starting with chapters on setting up your own ElasticSearch cluster and searching and extending your search parameters you will quickly be able to create a fast, scalable, and completely custom search solution.Building on your knowledge further you will learn about ElasticSearch's query API and become confident using powerful filtering and faceting capabilities. You will develop practical knowledge on how to make use of ElasticSearch's near real-time capabilities and support for multi-tenancy.Your journey then concludes with chapters that help you monitor and tune your ElasticSearch cluster as well as advanced topics such as shard allocation, gateway configuration, and the discovery module.
Table of Contents (17 chapters)
ElasticSearch Server
Credits
About the Authors
Acknowledgement
Acknowledgement
About the Reviewers
www.PacktPub.com
Preface
Index

Geo


Search servers such as ElasticSearch are usually looked at from the perspective of full text search. This is only partially true. Sometimes the text search is not enough. Imagine searching for local services. For the end user the most important thing is the accuracy of results, but by accuracy we not only mean the proper results of full text search, but also the results being as near as they can in terms of location. In some cases this is the same as 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 geographical coordinates of our indexed documents. As you can guess, this is of course also something that is supported by ElasticSearch.

Mapping preparation for spatial search

In order to discuss the spatial search functionality, let's prepare an index with a list of cities. This will be a very simple index with one type named poi (which stands for point of interest) with name of the city and its...