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ElasticSearch Cookbook

You're reading from   ElasticSearch Cookbook As a user of ElasticSearch in your web applications you'll already know what a powerful technology it is, and with this book you can take it to new heights with a whole range of enhanced solutions from plugins to scripting.

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Product type Paperback
Published in Dec 2013
Publisher Packt
ISBN-13 9781782166627
Length 422 pages
Edition 1st Edition
Languages
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Author (1):
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Alberto Paro Alberto Paro
Author Profile Icon Alberto Paro
Alberto Paro
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Table of Contents (14) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Downloading and Setting Up ElasticSearch 3. Managing Mapping 4. Standard Operations 5. Search, Queries, and Filters 6. Facets 7. Scripting 8. Rivers 9. Cluster and Nodes Monitoring 10. Java Integration 11. Python Integration 12. Plugin Development Index

Preface

One of the main requirements of today applications is the search capability. In the market we can find a lot of solutions to answer this need, both in the commercial and in the open source world. One of the frequently used libraries for searching is Apache Lucene. This library is the base of a large number of search solutions such as Apache Solr, Indextank, and ElasticSearch.

ElasticSearch is one of the younger solutions, written with the cloud, and distributed computing in mind. Its main author, Shay Banon, famous for having developed Compass (http://www.compass-project.org), released the first version of ElasticSearch in March 2010.

Thus the main scope of ElasticSearch is to be a search engine; it also provides a lot of features that allows it to be used also as data store and analytic engine via facets.

ElasticSearch contains a lot of innovative features: JSON REST-based, natively distributed in a map/reduce approach, easy to set up, and extensible with plugins. In this book, we will study in depth about these features and many others available in ElasticSearch.

Before ElasticSearch, only Apache Solr was able to provide some of these functionalities, but it was not designed for the cloud and it is not using JSON REST API. In the last year, this situation has changed a bit with the release of Solr Cloud in 2012. For users who want to have a deeper comparison between these two products, I suggest to read posts by Rafal Kuc available at http://blog.sematext.com/2012/08/23/solr-vs-elasticsearch-part-1-overview/.

ElasticSearch is also a product in continuous evolution and new functionalities are released both by the ElasticSearch Company (the company founded by Shay Banon to provide commercial support for ElasticSearch) and by ElasticSearch users as a plugin (mainly available on GitHub).

In my opinion, ElasticSearch is probably one of the most powerful and easy-to-use search solutions in the market. In writing this book and these recipes, the book reviewers and I have tried to transmit our knowledge, our passion, and the best practices to manage it in a better way.

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