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ElasticSearch Cookbook

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  • Choose the best ElasticSearch cloud topology to deploy and power it up with external plugins
  • Control the index steps with tailored mappings
  • Manage indices and documents and build a complex query against them
  • Execute facets to compute analytics against your data to improve searches and results
  • Use scripting to bypass limits of search, facets, and updates
  • Synchronize and populate data from different data sources, by managing rivers (SQL, NoSQL, web)
  • Monitor the cluster and node performances, and execute common tasks via web interfaces
  • Integrate ElasticSearch in Python and Java applications
  • Extend the capabilities of ElasticSearch by writing your own plugin to add REST calls, rivers, and custom cluster actions

ElasticSearch is one of the most promising NoSQL technologies available and is built to provide a scalable search solution with built-in support for near real-time search and multi-tenancy.

This practical guide is a complete reference for using ElasticSearch and covers 360 degrees of the ElasticSearch ecosystem. We will get started by showing you how to choose the correct transport layer, communicate with the server, and create custom internal actions for boosting tailored needs.

Starting with the basics of the ElasticSearch architecture and how to efficiently index, search, and execute analytics on it, you will learn how to extend ElasticSearch by scripting and monitoring its behaviour.

Step-by-step, this book will help you to improve your ability to manage data in indexing with more tailored mappings, along with searching and executing analytics with facets. The topics explored in the book also cover how to integrate ElasticSearch with Python and Java applications.

This comprehensive guide will allow you to master storing, searching, and analyzing data with ElasticSearch.

  • Write native plugins to extend the capabilities of ElasticSearch to boost your business
  • Integrate the power of ElasticSearch in your Java applications using the native API or Python applications, with the ElasticSearch community client
  • Step-by step-instructions to help you easily understand ElasticSearch’s capabilities, that act as a good reference for everyday activities
Page Count 422
Course Length 12 hours 39 minutes
ISBN 9781782166627
Date Of Publication 23 Dec 2013


Alberto Paro

Alberto Paro is an engineer, project manager, and software developer. He currently works as Big Data Practice Leader in NTTDATA in Italy on big data technologies, native cloud, and NoSQL solutions. He loves to study emerging solutions and applications mainly related to cloud and big data processing, NoSQL, NLP, and neural networks. In 2000, he graduated in computer science engineering from Politecnico di Milano. Then, he worked with many companies mainly using Scala/Java and Python on knowledge management solutions and advanced data mining products using the state-of-the-art big data software. A lot of his time is spent teaching how to effectively use big data solutions, NoSQL datastores, and related technologies.