Book Image

Elasticsearch 5.x Cookbook - Third Edition

By : Alberto Paro
Book Image

Elasticsearch 5.x Cookbook - Third Edition

By: Alberto Paro

Overview of this book

Elasticsearch is a Lucene-based distributed search server that allows users to index and search unstructured content with petabytes of data. This book is your one-stop guide to master the complete Elasticsearch ecosystem. We’ll guide you through comprehensive recipes on what’s new in Elasticsearch 5.x, showing you how to create complex queries and analytics, and perform index mapping, aggregation, and scripting. Further on, you will explore the modules of Cluster and Node monitoring and see ways to back up and restore a snapshot of an index. You will understand how to install Kibana to monitor a cluster and also to extend Kibana for plugins. Finally, you will also see how you can integrate your Java, Scala, Python, and Big Data applications such as Apache Spark and Pig with Elasticsearch, and add enhanced functionalities with custom plugins. By the end of this book, you will have an in-depth knowledge of the implementation of the Elasticsearch architecture and will be able to manage data efficiently and effectively with Elasticsearch.
Table of Contents (25 chapters)
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface

Visualizing data with Kibana


Kibana allows you to create reusable data representations called Visualizations. They are representations of aggregations and can be used to power up the dashboard with custom graphs.

Getting ready

You need an up-and-running Elasticsearch installation as we described in the Downloading and installing Elasticsearch recipe in Chapter 2, Downloading and Setup.

You also need a functional Kibana installation as described in Installing Kibana and X-Pack recipe. The X-Pack is not needed.

How to do it...

To use Kibana to create custom widgets, we will perform the following steps:

  1. We access the Visualize section of Kibana as shown in the following screenshot:

  2. Now we can choose the visualization that we want to create as shown in the following screenshot:

  3. If we want to create a Tag cloud visualization, we select it and populate the required fields as shown in the following screenshot:

How it works...

Aggregations and searches can be grouped in the visualization widgets that can...