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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 cURL or Postman

The primary way of interacting with Elasticsearch is using the REST API over HTTP. If Kibana or Sense is not an option for you, you can use any of the popular HTTP clients, such as cURL or Postman. Curl is a command line-based client available on most operating systems. Postman is an UI-based HTTP client available for major operating systems. You can get postman from the following link:

https://www.getpostman.com/

To execute the queries in this book using other HTTP clients, you have to specify the Elasticsearch server address (such as http://127.0.0.1:9200) in front of the API endpoint to execute the query. Let's take an example query found in this book:

 POST es-index/_search
{
"query": {
"match_all": {}
}
}

To execute the preceding query in cURL, you should add the curl command and the -d flag and wrap the query in...

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