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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)

Query format used in this book (Kibana Console)

The query format used in this book is based on Kibana Console. When using other HTTP clients such as cURL or Postman, the Elasticsearch endpoint (like http://127.0.0.1:900) should be passed in the URL, when using Kibana Console it is automatically inferred from Kibana settings. Using Kibana Console while in development or for debugging is strongly recommended. You can access Kibana Console by going to Dev Tools tab in the navigation bar on the left.

The Kibana Console look like the following:

Kibana Console has a very simple UI and is divided into request and response windows. The request window makes it very easy to work with JSON requests and supports auto-completion and auto indentation. The response window makes it very easy to follow the JSON response as you can expand or minimize parts of the JSON response. You can also copy...

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