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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 Kibana

In this section, we will install Kibana. Kibana is a web interface to visualize and analyze the data in Elasticsearch. Kibana also provides developer tools, which is very handy for running Elasticsearch queries. The queries used in the book can be executed using Kibana developer tools. You need Elasticsearch up and running before you can start using Kibana. Make sure the Kibana version matches the Elasticsearch version. At the time of writing, the latest Elasticsearch version is 5.1.2.

Mac OS X

You can download Kibana for Mac OS X from the following Elasticsearch website:

curl -L -O https://artifacts.elastic.co/downloads/kibana/kibana-5.1.2-darwin-x86_64.tar.gz
tar -xvf kibana-5.1.2-darwin-x86_64.tar.gz

Once you have downloaded the ZIP file, unzip the tar package to your choice of location.

Starting and stopping Kibana

You can start Kibana using the binary scripts in the bin folder. If Elasticsearch is not running on the 127.0.0.1:9200 port, you have to change the Kibana configuration...

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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