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Learning Elasticsearch

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

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787128453
Length 404 pages
Edition 1st Edition
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Author (1):
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Abhishek Andhavarapu Abhishek Andhavarapu
Author Profile Icon Abhishek Andhavarapu
Abhishek Andhavarapu
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Toc

Table of Contents (11) Chapters Close

Preface 1. Introduction to Elasticsearch FREE CHAPTER 2. Setting Up Elasticsearch and Kibana 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)

Using Kibana to visualize aggregations

In this section, we will discuss how to use Kibana to visualize aggregations. We will demonstrate a very simple bar chart to represent the terms aggregation. To use an index in Kibana, we have to add the index pattern to Kibana. To do this, perform the following steps:

  1. Go to the Management tab on the left.
  2. Choose Index Pattern, and you should see a screen similar to the following:

Input the index name or index pattern you would like to run the visualizations on. If you input an index pattern with a wildcard such as chapter*, all the indices that start with the name chapter are included in the visualization. Once you click on create, the next screen should show you the mappings of the index. If the mappings look OK, perform the following steps to create a new visualization:

  1. Go to the Visualize tab on the left.
  2. In the Create New Visualization...
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