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Elasticsearch Essentials

Elasticsearch Essentials

By : Bharvi Dixit
4.3 (6)
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Elasticsearch Essentials

Elasticsearch Essentials

4.3 (6)
By: Bharvi Dixit

Overview of this book

With constantly evolving and growing datasets, organizations have the need to find actionable insights for their business. ElasticSearch, which is the world's most advanced search and analytics engine, brings the ability to make massive amounts of data usable in a matter of milliseconds. It not only gives you the power to build blazing fast search solutions over a massive amount of data, but can also serve as a NoSQL data store. This guide will take you on a tour to become a competent developer quickly with a solid knowledge level and understanding of the ElasticSearch core concepts. Starting from the beginning, this book will cover these core concepts, setting up ElasticSearch and various plugins, working with analyzers, and creating mappings. This book provides complete coverage of working with ElasticSearch using Python and performing CRUD operations and aggregation-based analytics, handling document relationships in the NoSQL world, working with geospatial data, and taking data backups. Finally, we’ll show you how to set up and scale ElasticSearch clusters in production environments as well as providing some best practices.
Table of Contents (12 chapters)
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11
Index

What you need for this book

This book was written using Elasticsearch version 2.0.0, and all the examples and functions should work with it. Using Oracle Java 1.7 u55 and above is recommended for creating Elasticsearch clusters. In addition to this, you'll need a command that allows you to send HTTP requests, such as curl, which is available for most operating systems. In addition to this, this book covers all the examples using Python and Java.

For Java examples, you will need to have Java JDK (Java Development Kit) installed and an editor that will allow you to develop your code (such as Eclipse). Apache Maven has been used to build Java codes.

To run the Python examples, you will need Python 2.7 and above and will also need to install Elasticsearch-Py, the official Python client for Elasticsearch.

In addition to this, some chapters may require additional software such as Elasticsearch plugins and other software but it has been explicitly mentioned when certain types of software are needed.

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