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Learning Elastic Stack 7.0

You're reading from   Learning Elastic Stack 7.0 Distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781789954395
Length 474 pages
Edition 2nd Edition
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Authors (2):
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Sharath Kumar Sharath Kumar
Author Profile Icon Sharath Kumar
Sharath Kumar
Pranav Shukla Pranav Shukla
Author Profile Icon Pranav Shukla
Pranav Shukla
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: Introduction to Elastic Stack and Elasticsearch
2. Introducing Elastic Stack FREE CHAPTER 3. Getting Started with Elasticsearch 4. Section 2: Analytics and Visualizing Data
5. Searching - What is Relevant 6. Analytics with Elasticsearch 7. Analyzing Log Data 8. Building Data Pipelines with Logstash 9. Visualizing Data with Kibana 10. Section 3: Elastic Stack Extensions
11. Elastic X-Pack 12. Section 4: Production and Server Infrastructure
13. Running Elastic Stack in Production 14. Building a Sensor Data Analytics Application 15. Monitoring Server Infrastructure 16. Other Books You May Enjoy

CRUD operations

In this section, we will look at how to perform basic CRUD operations, which are the most fundamental operations required by any data store. Elasticsearch has a very well-designed REST API, and the CRUD operations are targeted at documents.

To understand how to perform CRUD operations, we will cover the following APIs. These APIs fall under the category of document APIs, which deal with documents:

  • Index API
  • Get API
  • Update API
  • Delete API

Index API

In Elasticsearch terminology, adding (or creating) a document to a type within an index of Elasticsearch is called an indexing operation. Essentially, it involves adding the document to the index by parsing all the fields within the document and building the inverted...

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