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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 discover

Kibana UI makes it very easy to explore and visualize your data. You can add filters based on the fields in the document in click of a button and inspect the document source. For each field, you can see the top five values and their field value statistics. In this section, we will discuss how to explore using Kibana. Open Kibana by going to http://localhost:5601/.

Before you can use an index in Kibana, you have to tell Kibana to use an index name or an index pattern. To do this, perform the following steps:

  1. Go to the Management tab on the left.
  2. Select Index Patterns
  3. In the Index Patterns page, select the +Add New button.
  1. Input the index name as chapter4, and select the time-field name as last_modified_date.
  2. Click on Create.

Now go to the Discover tab on the left navigation bar, and you should see a screen as shown here:

Since we configured the time...

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