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Learning Elasticsearch

You're reading from Learning Elasticsearch Structured and unstructured data using distributed real-time search and analytics

Product type Paperback

Published in Jun 2017

Publisher Packt

ISBN-13 9781787128453

Length 404 pages

Edition 1st Edition

Tools

Elasticsearch

Concepts

Enterprise Search

Author (1):

Andhavarapu

View More author details

Table of Contents (17) Chapters

Title Page

Credits

About the Author

About the Reviewers

www.PacktPub.com

Customer Feedback

Preface

1. Introduction to Elasticsearch

2. Setting Up Elasticsearch and Kibana FREE CHAPTER

3. Modeling Your Data and Document Relations

4. Indexing and Updating Your Data

5. Organizing Your Data and Bulk Data Ingestion

6. All About Search

7. More Than a Search Engine (Geofilters, Autocomplete, and More)

8. How to Slice and Dice Your Data Using Aggregations

9. Production and Beyond

10. Exploring Elastic Stack (Elastic Cloud, Security, Graph, and Alerting)

Installing Elasticsearch

In this section, we will install Elasticsearch on a local machine as a single-node cluster. Once we have the cluster up and running, we will learn how to use cluster APIs to check the health of the nodes. We have a Windows section for Windows users, a Mac OS X section for Mac users, and a Debian/RPM section for users who want to install using the Debian (deb)/RPM package.

Note

If you are a Linux/Unix user, you can either install using the Debian/RPM package or you can follow instructions in the Mac OS X section.

Installing Java

Elasticsearch is a Java-based application. Before we can run Elasticsearch, we need to make sure that we have Java installed. You need a Java Runtime Environment(JRE). Elasticsearch recommends Oracle Java Development Kit (JDK) 1.8.0_73 or higher. You can check the Java version installed on your computer by running the following command in the command prompt or terminal:

java -version

If you don't have Java installed or if you have an older version...

You have been reading a chapter from

Learning Elasticsearch

Published in: Jun 2017

Publisher: Packt

ISBN-13: 9781787128453

© 2017 Packt Publishing Limited All Rights Reserved

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Authors (1)

Andhavarapu

Andhavarapu

Abhishek Andhavarapu is a software engineer at eBay who enjoys working on highly scalable distributed systems. He has a master's degree in Distributed Computing and has worked on multiple enterprise Elasticsearch applications, which are currently serving hundreds of millions of requests per day. He began his journey with Elasticsearch in 2012 to build an analytics engine to power dashboards and quickly realized that Elasticsearch is like nothing out there for search and analytics. He has been a strong advocate since then and wrote this book to share the practical knowledge he gained along the way.

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